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@Inproceedings{Moura-BuenoEtAl2012,
Title = {Soil erosion in hillslope areas of sourthern Brazil},
Author = {Moura-Bueno, J. M. and Samuel-Rosa, A. and Miguel, P. and Dalmolin, R. S. D. and Frosi, M. H. and Dotto, A. C.},
Booktitle = {19th ISTRO Conference and IV SUCS Meeting},
Year = {2012},
Address = {Montevideu}
}
@Book{UnitedStates1972,
Title = {Soil survey investigations report},
Address = {Washington},
Author = {United States, Soil Conservation Service},
Pages = {63},
Publisher = {Soil Conservation Service},
Year = {1972},
Url = {http://catalog.hathitrust.org/Record/001720356}
}
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Title = {Validation of the MAPGEO2010 and comparison with recent geopotential models},
Author = {Matos, Ana Cristina Oliveira Cancoro de AND Blitzkow, Denizar AND Guimarães, Gabriel do Nascimento AND Lobianco, Maria Cristina Barbosa AND Costa, Sônia Maria Alves},
Journal = {Boletim de Ciências Geodésicas},
Pages = {101 - 122},
Volume = {18},
Year = {2012},
Month = {03},
Crossref = {10.1590/S1982-21702012000100006},
File = {MatosEtAl2012.pdf:MatosEtAl2012.pdf:PDF},
ISSN = {1982-2170},
Language = {pt},
Publisher = {scielo},
Url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1982-21702012000100006&nrm=iso}
}
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Title = {Spatial distribution of top soil water content in an experimental catchment of Southeast Brazil},
Author = {Carlos Rogério Mello and Léo Fernandes Ávila and Lloyd Darrell Norton and Antônio Marciano Silva and José Márcio Mello and Samuel Beskow},
Journal = {Scientia Agricola},
Pages = {285 - 294},
Volume = {68},
Year = {2011},
Month = {06},
Crossref = {10.1590/S0103-90162011000300003},
ISSN = {0103-9016},
Language = {en},
Publisher = {scielo},
Url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162011000300003&nrm=iso}
}
@Article{OliveiraJunior2011,
Title = {Spatial variability of mineralogical properties in soil of the Guabirotuba formation of Curitiba (PR)},
Author = {Oliveira Junior, Jairo Calderari},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1481-1490},
Volume = {35},
Year = {2011},
Crossref = {10.1590/S0100-06832011000500002},
Language = {english},
Owner = {usuario},
Publisher = {scielo},
Timestamp = {2012.03.03}
}
@Mastersthesis{Abbasova2010,
Title = {Detection and analysis of changes in desertification in the Caspian Sea Region},
Address = {Stockholm},
Author = {Tahira Abbasova},
Pages = {67},
School = {Department of Physical Geography and Quaternary Geology, Stockholm University},
Year = {2010},
File = {Abbasova2010.pdf:Abbasova2010.pdf:PDF},
Keywords = {ndvi; standard deviation; coefficient of variation; time series; Caspian Region, desertification, Normalized Difference Vegetation Index (NDVI), ENVI, ArcGIS},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.20}
}
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Title = {Principal component analysis},
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Journal = {Wiley Interdisciplinary Reviews: Computational Statistics},
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Volume = {2},
Year = {2010},
Number = {4},
Doi = {10.1002/wics.101},
File = {AbdiEtAl2010.pdf:AbdiEtAl2010.pdf:PDF},
ISSN = {1939-0068},
Keywords = {singular and eigen value decomposition, bilinear decomposition, factor scores and loadings, RESS PRESS, multiple factor analysis},
Publisher = {John Wiley \& Sons, Inc.},
Url = {http://dx.doi.org/10.1002/wics.101}
}
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Title = {Methane flux and oxidation at two types of intermediate landfill covers},
Author = {Tarek Abichou And Jeffery Chanton And David Powelson And Jill Fleiger And Sharon Escoriaza And Yuan Lei And Jennifer Stern},
Journal = {Waste Management},
Pages = {1305-1312},
Volume = {26},
Year = {2006},
Doi = {10.1016/j.wasman.2005.11.016},
File = {:/home/usuario/Documentos/biblioteca/Waste Management/Abichou et al_Waste Manage_2006.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{Abramovay1997,
Title = {Agricultura familiar e uso do solo},
Author = {Ricardo Abramovay},
Journal = {São Paulo em Perspectiva},
Pages = {73-78},
Volume = {11},
Year = {1997},
File = {:/home/usuario/Documentos/biblioteca/São Paulo em Perspectiva/Abramovay_SP Perspectiva_1997.pdf:PDF},
Owner = {Administrador},
Timestamp = {2011.01.11}
}
@Techreport{AbraoEtAl1988,
Title = {Levantamento semi-detalhado dos solos da Eatação Experimental de Silvicultura de Santa Maria},
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Publisher = {Secretaria da Agricultura},
Year = {1988}
}
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Journal = {Tópicos em Ciência do Solo},
Pages = {391-470},
Volume = {4},
Year = {2005},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://web.cena.usp.br/apostilas/Regina/Outras/Top-V4-N10.pdf}
}
@Book{AcharyaEtAl2006,
Title = {Image processing - principles and applications},
Author = {Tinku Acharya and Ajoy K. Ray},
Year = {2006},
File = {AcharyaEtAl2006.pdf:AcharyaEtAl2006.pdf:PDF},
Keywords = {Fourier;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Article{Addiscott1995,
Title = {Entropy and sustainability},
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Journal = {European Journal of Soil Science},
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File = {Addiscott1995.pdf:European Journal of Soil Science/Addiscott1995.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Addiscott1993,
Title = {Simulation modelling and soil behaviour},
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Pages = {15-40},
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Month = {Dec},
Number = {1-4},
Doi = {10.1016/0016-7061(93)90016-e},
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Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{AertsEtAl2003,
Title = {Using linear integer programming for multi-site land-use allocation},
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Pages = {148--169},
Volume = {35},
Year = {2003},
Number = {2},
Doi = {10.1111/j.1538-4632.2003.tb01106.x},
File = {AertsEtAl2003.pdf:AertsEtAl2003.pdf:PDF},
ISSN = {1538-4632},
Keywords = {optimization;},
Owner = {alessandro},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {27.06.2013}
}
@Article{AertsEtAl2002,
Title = {Using simulated annealing for resource allocation},
Author = {Aerts, Jeroen C. J. H. and Heuvelink, Gerard B. M.},
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Pages = {571 - 587},
Volume = {16},
Year = {2002},
Number = {6},
File = {AertsEtAl2002.pdf:AertsEtAl2002.pdf:PDF},
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Keywords = {DECISION support systems, RESOURCE allocation, SIMULATED annealing (Mathematics); optimization;},
Owner = {alessandro},
Timestamp = {27.06.2013},
Url = {http://search-ebscohost-com.ez29.periodicos.capes.gov.br/login.aspx?direct=true&db=iih&AN=7210310&lang=pt-br&site=ehost-live}
}
@Book{Agresti2002,
Title = {Categorical Data Analysis},
Author = {Alan Agresti},
Publisher = {Wiley-Interscience},
Year = {2002},
File = {Agresti2002.pdf:Agresti2002.pdf:PDF},
ISBN = {0471360937},
Owner = {alessandro}
}
@Article{AhmedEtAl2001,
Title = {Evaluation of groundwater and soil pollution in a landfill area using electrical resistivity imaging survey},
Author = {Abdelatif Mukhtar Ahmed and Wan Norazmin Sulaiman},
Journal = {Environmental Management},
Pages = {655-663},
Volume = {28},
Year = {2001},
Doi = {10.1007/s002670010250},
File = {:Environmental Management/Ahmed & Sulaiman_Environ Manage_2001.pdf:PDF;:/home/usuario/Documentos/biblioteca/Environmental Management/Ahmed & Sulaiman_Environ Manage_2001.pdf:PDF},
Keywords = {Groundwater pollution; Soil pollution; Landfill; Resistivity imaging survey; Malaysia},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{AichnerEtAl2007,
Title = {Polycyclic aromatic hydrocarbons and polychlorinated biphenyls in urban soils from Kathmandu, Nepal},
Author = {B. Aichner and B. Glaser and W. Zech},
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Volume = {38},
Year = {2007},
Doi = {10.1016/j.orggeochem.2006.11.002},
File = {:/home/usuario/Documentos/biblioteca/Organic Geochemistry/Aichner et al_Org Geochem_2007.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{AitaEtAl2003,
Title = {Crop residue decomposition and nitrogen release in single and mixed cover crops},
Author = {C. Aita and S. J. Giacomini},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {601-612},
Volume = {27},
Year = {2003},
Keywords = {mineralização de N, taxas de decomposição, composição bioquímica, aveia preta, ervilhaca comum, nabo forrageiro},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v27n4/a04v27n4.pdf}
}
@Techreport{Aitchison2003,
Title = {A concise guide to compositional data analysis},
Address = {Girona},
Author = {Aitchison, J.},
Pages = {134},
Year = {2003},
File = {:/home/usuario/Documentos/biblioteca/techreport/Aitchison_Report_2003.pdf:PDF},
Institution = {CDA workshop},
Owner = {Administrador},
Timestamp = {2011.08.18},
Url = {http://www.leg.ufpr.br/lib/exe/fetch.php/}
}
@Book{Aitchison1986,
Title = {The statistical analysis of compositional data},
Author = {Aitchison, J.},
Pages = {416},
Publisher = {Chapman and Hall, London},
Year = {1986},
Edition = {1},
Owner = {Administrador},
Timestamp = {2011.09.01}
}
@Article{Aitchison1982,
Title = {The statistical analysis of compositional data},
Author = {Aitchison, J.},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {139-177},
Volume = {44},
Year = {1982},
Number = {2},
Url = {http://www.jstor.org/stable/2345821}
}
@Article{Akaike1974,
Title = {A new look at the statistical model identification},
Author = {Akaike, H.},
Journal = {IEEE Transactions on Automatic Control},
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Volume = {19},
Year = {1974},
Number = {6},
Doi = {10.1109/TAC.1974.1100705},
File = {Akaike1974.pdf:Akaike1974.pdf:PDF},
ISSN = {0018-9286},
Keywords = { Parameter identification; Time series; maximum-likelihood (ML) estimation;}
}
@Article{AlberteEtAl2005,
Title = {Recovery of areas degraded by solid waste disposal},
Author = {Elaine P.V. Alberte and Alex Pires Carneiro and Lin Kan},
Journal = {Diálogos e Ciência},
Pages = {1-15},
Volume = {xx},
Year = {2005},
File = {:Diálogos e Ciência/Alberte et al_Diálogos_2005.pdf:PDF},
Keywords = {Recuperação; meio ambiente; resíduos.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://dialogos.ftc.br/}
}
@InCollection{AlbrechtEtAl2006,
Title = {Comparison of approaches for automated soil identification},
Author = {C. Albrecht and B. Huwe and R. Jahn},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Address = {Amsterdam},
Chapter = {31},
Editor = {P. Lagacherie and A.B. McBratney and M. Voltz},
Pages = {425-433},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {10.1016/S0166-2481(06)31031-8},
ISSN = {0166-2481}
}
@Article{AlbuquerqueEtAl1993,
Title = {Soil and plant variability in a Typic Hapludalf},
Author = {J A Albuquerque and D J Reinert and J E Fiorin},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {151-157},
Volume = {20},
Year = {1993},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2010},
Url = {http://w3.ufsm.br/fisicadosolo/downloads/}
}
@Article{AlhoEtAl2007,
Title = {Physical, chemical and mineralogical characterization of Litholic Neosols from different parent materials},
Author = {Denise R. Alho and José M. Júnior and Milton C. C. Campos},
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Pages = {117-122},
Volume = {2},
Year = {2007},
Keywords = {atributos do solo, mineralogia, material de origem},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.agraria.pro.br/sistema/index.php?journal=agraria&page=article&op=viewPDFInterstitial&path%5B%5D=110&path%5B%5D=78}
}
@Article{Ali2003,
Title = {Farmers' knowledge of soils and the sustainability of agriculture in a saline water ecosystem in Southwestern Bangladesh},
Author = {Abu Muhammad Shajaat Ali},
Journal = {Geoderma},
Pages = {333-353},
Volume = {111},
Year = {2003},
File = {:Geoderma/Ali_Geoderma_2003.pdf:PDF},
Keywords = {Bangladesh; Farmers? typology of soils; Sustainable farming systems},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002719}
}
@Article{AliEtAl1996,
Title = {Competitive sorption of simple organic acids and sulfate on goethite},
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Volume = {30},
Year = {1996},
File = {:Environmental Science & Technology/Ali & Dzombak_Environ Sci Technol_1996.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://pubs.acs.org/doi/abs/10.1021/es940723g}
}
@Conference{Almeida1997,
Title = {Pesquisa agrícola, agricultura familiar e sustentabilidade},
Author = {Almeida, Jalcione},
Year = {1997},
Owner = {Administrador},
Timestamp = {2011.01.11},
Url = {http://www6.ufrgs.br/pgdr/arquivos/576.pdf}
}
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Title = {O Estado de Santa Catarina e a pesquisa em ciência do solo},
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Journal = {Boletim Informativo da Sociedade Brasileira de Ciência do Solo},
Pages = {30-33},
Volume = {maio},
Year = {2007},
Owner = {Administrador},
Timestamp = {2011.01.11}
}
@Article{AlmeidaEtAl1997,
Title = {Caracterização mineralógica de Cambissolos originados de rochas pelíticas nos patamares do Alto Rio Itajaí e no Planalto de Lages (SC)},
Author = {Almeida, Jaime Antônio de and Kämpf, Nestor and Almeida, R},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {181-190},
Volume = {21},
Year = {1997},
Keywords = {cambissolo, vermiculita aluminosa, interestratificados},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{AlvarezEtAl2006,
Title = {Comparação de médias ou teste de hipóteses? Contrastes!},
Author = {Víctor Hugo Alvarez and Gustavo Adolfo Moysés Alvarez},
Journal = {Boletim da Sociedade Brasileira de Ciência do Solo},
Pages = {24-34},
Volume = {31},
Year = {2006},
File = {AlvarezEtAl2006.pdf:Boletim_SBCS/AlvarezEtAl2006.pdf:PDF},
Keywords = {orthogonal contrast; multiple comparison},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.19},
Url = {http://sbcs.solos.ufv.br/solos/boletins/Artigo%20contrastes.pdf}
}
@Article{Alvarez-YepizEtAl2008,
Title = {Variation in vegetation structure and soil properties related to land use history of old-growth and secondary tropical dry forests in northwestern Mexico},
Author = {Juan Carlos Álvarez-Yépiz and Angelina Martínez-Yrízar and Alberto Búrquez and Cynthia Lindquist},
Journal = {Forest Ecology and Management},
Pages = {355-366},
Volume = {256},
Year = {2008},
Note = {Impacts of forest ecosystem management on greenhouse gas budgets},
Number = {3},
Doi = {10.1016/j.foreco.2008.04.049},
File = {:Forest Ecology and Management/Álvarez-Yépiz_Forest Ecol Manage_2008.pdf:PDF},
Keywords = {Anthropogenic disturbance; Diversity; Grazing; Neotropical forest limits; Resprouting; Secondary tropical dry forests},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
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Title = {Por que estudar os nomes dados aos solos pelos camponeses?},
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Journal = {Boletim Informativo da SBCS},
Pages = {12-17},
Volume = {31},
Year = {2006},
Month = {Janeiro/Abril},
Number = {1},
File = {AlvesEtAl2006.pdf:Boletim_SBCS/AlvesEtAl2006.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2009},
Url = {http://sbcs.solos.ufv.br/solos/boletins/Artigo%20etnopedologia.pdf}
}
@Article{AmadorEtAl2000,
Title = {Fine-scale spatial variability of physical and biological soil properties in Kingston, Rhode Island},
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Journal = {Geoderma},
Pages = {83-94},
Volume = {98},
Year = {2000},
File = {:Geoderma/Amador et al_Geoderma_2000.pdf:PDF},
Keywords = {soil sampling; paired cores; spatial variability; biological soil properties; physical soil properties},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706100000537}
}
@Article{AmitEtAl1997,
Title = {Shape quantization and recognition with randomized trees},
Author = {Amit, Yali and Geman, Donald},
Journal = {Neural Computation},
Pages = {1545-1588},
Volume = {9},
Year = {1997},
Month = {Oct},
Number = {7},
Doi = {10.1162/neco.1997.9.7.1545},
File = {AmitEtAl1997.pdf:AmitEtAl1997.pdf:PDF},
ISSN = {1530-888X},
Keywords = {Random; Forest;},
Owner = {alessandro},
Publisher = {MIT Press - Journals}
}
@Article{AmpontuahEtAl2006,
Title = {Assessment of soil particle redistribution on two contrasting cultivated hillslopes},
Author = {Emmanuel O Ampontuah and J S Robinson and S Nortcliff},
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Volume = {132},
Year = {2006},
Doi = {10.1016/j.geoderma.2005.05.014},
File = {:Geoderma/Ampontuah et al_Geoderma_2006.pdf:PDF},
Keywords = {Soil redistribution; Water erosion; Spatial variation; Soil particle erodibility; Cultivated hillslopes},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{AndersenEtAl2010,
Title = {Variable selection in regression - a tutorial},
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Volume = {24},
Year = {2010},
Number = {11-12},
Doi = {10.1002/cem.1360},
File = {AndersenEtAl2010.pdf:AndersenEtAl2010.pdf:PDF},
Keywords = {variable selection, calibration, chemometrics; redemds}
}
@Article{AndersonEtAl2000,
Title = {Null hypothesis testing: problems, prevalence, and an alternative},
Author = {David R Anderson and Kenneth P Burnham and William L Thompson},
Journal = {The Journal of Wildlife Management},
Pages = {912-923},
Volume = {64},
Year = {2000},
Number = {4},
File = {AndersonEtAl2000.pdf:AndersonEtAl2000.pdf:PDF},
Keywords = {redemds; significance;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.23},
Url = {http://www.jstor.org/stable/3803199}
}
@Article{Anderson1963,
Title = {An improved pretreatment for mineralogical analysis of samples containing organic matter},
Author = {J. U. Anderson},
Journal = {Clays and Clay Minerals},
Pages = {380-388},
Volume = {xx},
Year = {1963},
File = {:Clays and Clay Minerals/Anderson_Clay Clay Miner_1963.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.clays.org/journal/archive/volume%2010/10-1-380.pdf}
}
@Article{Andrews1971,
Title = {A note on the selection of data transformations},
Author = {Andrews, D. F.},
Journal = {Biometrika},
Pages = {249-254},
Volume = {58},
Year = {1971},
Number = {2},
Doi = {10.1093/biomet/58.2.249},
Eprint = {http://biomet.oxfordjournals.org/content/58/2/249.full.pdf+html},
File = {Andrews1971.pdf:Biometrika/Andrews1971.pdf:PDF},
Url = {http://biomet.oxfordjournals.org/content/58/2/249.abstract}
}
@Article{AndrieuEtAl2003,
Title = {An Introduction to MCMC for Machine Learning},
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Volume = {50},
Year = {2003},
File = {AndrieuEtAl2003.pdf:machine_learning/AndrieuEtAl2003.pdf:PDF},
Keywords = {Markov chain Monte Carlo, MCMC, sampling, stochastic algorithms},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@Article{Angelico2006,
Title = {Desempenho da co-krigagem na determinação da variabilidade de atributos do solo},
Author = {João Carlos Angelico},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {931-936},
Volume = {30},
Year = {2006},
Keywords = {geoestatística, variabilidade espacial, agricultura de precisão},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {www.scielo.br/pdf/rbcs/v30n6/a02v30n6.pdf}
}
@Article{Angelis.NetoEtAl2004,
Title = {Use of vegetation for recovering degraded urban areas},
Author = {Generoso Angelis.Neto and Bruno L.D. Angelis and Daniel Simeoni Oliveira},
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Pages = {65-73},
Volume = {26},
Year = {2004},
File = {Angelis.NetoEtAl2004.pdf:Acta Scientiarum-Technology/Angelis.NetoEtAl2004.pdf:PDF},
Keywords = {vegetação urbana; áreas degradadas; atividade antrópica},
Owner = {Alessandro Samuel Rosa},
Timestamp = {18.08.2009},
Url = {http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/viewFile/1555/898}
}
@Article{AnikweEtAl2002,
Title = {Long term effect of municipal waste disposal on soil properties and productivity of sites used for urban agriculture in Abakaliki, Nigeria},
Author = {M.A.N. Anikwe and K.C.A. Nwobodo},
Journal = {Bioresource Technology},
Pages = {241-250},
Volume = {83},
Year = {2002},
File = {AnikweEtAl2002.pdf:Bioresource Technology/AnikweEtAl2002.pdf:PDF},
Keywords = {Municipal wastes; Disposal sites; Soil properties; Productivity; Ecotoxological risk},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0960852401001547}
}
@Article{AnjosEtAl2007,
Title = {Caracterização e classificação de Plintossolos no município de Pinheiro-MA},
Author = {Lúcia Helena Cunha Anjos and Marcos Gervasio Pereira and Daniel Vidal Pérez and Doracy Pessoa Ramos},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1035-1044},
Volume = {31},
Year = {2007},
Keywords = {plintita, caráter alítico, SiBCS, taxonomia de solos},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v31n5/a20v31n5.pdf}
}
@Inproceedings{AnjosEtAl2014,
Title = {New qualifier in WRB based on Brazilian soils with high iron contents},
Author = {Anjos, Lúcia Helena Cunha and Samuel-rosa, Alessandro and Schad, Peter},
Booktitle = {Proceedings of the 20th World Congress of Soil Science},
Year = {2014},
File = {AnjosEtAl2014.pdf:AnjosEtAl2014.pdf:PDF},
Url = {http://goo.gl/D7d0At}
}
@Article{Antunes1994,
Title = {Caracterização climática da área mineira da Sudene},
Author = {Antunes, F Z},
Journal = {Informe Agropecuário},
Pages = {15-19},
Volume = {17},
Year = {1994},
Number = {181},
Keywords = {redemds; mata seca},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.19}
}
@Techreport{Antunes2011,
Title = {Notas de aula de sensoriamento remoto - IT 177},
Address = {Seropédica},
Author = {Mauro Antonio Homem Antunes},
Pages = {71},
Publisher = {Universidade Federal Rural do Rio de Janeiro (UFRRJ)},
Year = {2011},
Edition = {1},
File = {Antunes2011.pdf:Antunes2011.pdf:PDF},
Keywords = {Brasil1984},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.10}
}
@Inproceedings{AntunesEtAl2012,
Title = {Atmospheric effects on vegetation indices of TM and ETM+ images from a tropical region using the 6S model},
Author = {Mauro Antonio Homem Antunes and J Marinaldo Gleriani and Paula Debiasi},
Booktitle = {Proceedings of the IEEE International Geoscience and Remote Sensing Symposium},
Pages = {4},
Year = {2012},
Address = {Munich},
File = {AntunesEtAl2012.pdf:AntunesEtAl2012.pdf:PDF},
Institution = {IEEE Geoscience and Remote Sensing Society},
Keywords = {Vegetation indices, atmospheric correction, 6S model; atcorr;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.10}
}
@Inproceedings{AntunesEtAl2013,
Title = {Características das imagens {R}apid{E}ye para mapeamento e monitoramento agrícola e ambiental},
Author = {Mauro Antonio Homem Antunes and Siqueira, Jéssica Caroline Santos},
Booktitle = {Anais XVI Simpósio Brasileiro de Sensoriamento Remoto},
Editor = {José Carlos Neves Epiphanio and Lênio Soares Galvão},
Pages = {547-554},
Publisher = {Instituto Nacional de Pesquisas Espaciais},
Year = {2013},
Address = {São José dos Campos},
File = {AntunesEtAl2013.pdf:AntunesEtAl2013.pdf:PDF},
Keywords = {atcorr; atmospheric correction; 6S; satellite; RapidEye;},
Url = {http://www.dsr.inpe.br/sbsr2013/files/p1253.pdf}
}
@Book{ApostolEtAl2012,
Title = {New horizons in geometry},
Address = {Pasadena},
Author = {Tom M. Apostol and Mamikon A. Mnatsakanian},
Pages = {520},
Publisher = {The Mathematical Association of America},
Year = {2012},
Number = {47},
Series = {Dolciani Mathematical Expositions},
File = {ApostolEtAl2012.pdf:ApostolEtAl2012.pdf:PDF},
ISBN = {978-0-88385-354-2},
Url = {http://www.maa.org/publications/books/new-horizons-in-geometry}
}
@Mastersthesis{Araujo2007,
Title = {Atributos do solo na interpretação do conhecimento de índios guarani Mbya sobre terras para agricultura},
Address = {Seropédica},
Author = {Júlio César Lucena Araújo},
Pages = {85},
School = {Universidade Federal Rural do Rio de Janeiro},
Year = {2007},
File = {Araujo2007.pdf:Araujo2007.pdf:PDF},
Keywords = {etnopedologia, conhecimento local indígena, aptidão agrícola das terras, etnoecologia},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2009},
Url = {http://www.ia.ufrrj.br/cpacs/arquivos/teses_dissert/15_Julio_Cesar_Lucena.pdf}
}
@Manual{Araujo2013,
Title = {A classe abntex2: Documentos técnicos e científicos brasileiros compatíveis com as normas ABNT},
Author = {Lauro César Araujo},
Pages = {34},
Publisher = {Equipe abnTEX2},
Year = {2013},
File = {Araujo2013.pdf:Araujo2013.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.19},
Url = {http://abntex2.googlecode.com/}
}
@Manual{Araujo2013a,
Title = {Manual de uso dos estilos bibliográficos do pacote abntex2cite: estilos bibtex compatíveis com a ABNT NBR 6023:2000},
Author = {Araujo, L. C.},
Pages = {79},
Publisher = {Equipe abnTEX2},
Year = {2013},
File = {Araujo2013a.pdf:Araujo2013a.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.19},
Url = {http://abntex2.googlecode.com/}
}
@Manual{Araujo2013b,
Title = {Manual de uso do pacote abntex2cite: tópicos específicos da ABNT NBR 10520:2002 e o estilo bibliográfico alfabético (sistema autor-data)},
Author = {Lauro César Araujo},
Pages = {19},
Publisher = {Equipe abnTEX2},
Year = {2013},
File = {Araujo2013b.pdf:Araujo2013b.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.19},
Url = {http://abntex2.googlecode.com/}
}
@Article{ArieiraEtAl2006,
Title = {Fitossociologia de uma floresta inundável monodominante de Vochysia divergens Pohl (Vochysiaceae), no Pantanal Norte, MT, Brasil},
Author = {Julia Arieira and Cátia Nunes Cunha},
Journal = {Acta Botânica Brasilica},
Pages = {569-580},
Volume = {20},
Year = {2006},
File = {ArieiraEtAl2006.pdf:acta_botanica_brasilica/ArieiraEtAl2006.pdf:PDF},
Keywords = {estrutura, cambarazal, planície de inundação, monodominância, pulso de inundação.},
Owner = {Administrador},
Timestamp = {2010.12.28},
Url = {http://www.scielo.br/pdf/abb/v20n3/07.pdf}
}
@Article{ArieiraEtAl2011,
Title = {Integrating field sampling, geostatistics and remote sensing to map wetland vegetation in the Pantanal, Brazil},
Author = {Arieira, J. and Karssenberg, D. and de Jong, S. M. and Addink, E. A. and Couto, E. G. and Nunes da Cunha, C. and Skoien, J. O.},
Journal = {Biogeosciences},
Pages = {667-686},
Volume = {8},
Year = {2011},
Number = {3},
Doi = {10.5194/bg-8-667-2011},
File = {ArieiraEtAl2011.pdf:ArieiraEtAl2011.pdf:PDF},
Keywords = {redemds},
Url = {http://www.biogeosciences.net/8/667/2011/}
}
@Article{Armstrong2007,
Title = {Statistical significance tests are unnecessary even when properly done and properly interpreted: reply to commentaries},
Author = {Armstrong},
Journal = {International Journal of Forecasting},
Pages = {335-336},
Volume = {23},
Year = {2007},
Number = {2},
Citeulike-article-id = {3620068},
Citeulike-linkout-0 = {\#},
Keywords = {file-import-08-11-20, research-methodology, statistics},
Posted-at = {2008-11-20 20:59:22},
Priority = {0}
}
@Article{Arnold2014,
Title = {My dilemmas with soil-landscape relationships},
Author = {Dick Arnold},
Year = {2014},
Note = {Unpublished},
File = {Arnold2014.pdf:Arnold2014.pdf:PDF}
}
@Article{Arnold1983,
Title = {Concepts of soils and pedology},
Author = {Arnold, R. W.},
Journal = {Developments in Soil Science},
Pages = {1-21},
Year = {1983},
Doi = {10.1016/s0166-2481(08)70596-8},
File = {Arnold1983.pdf:Arnold1983.pdf:PDF},
ISBN = {http://id.crossref.org/isbn/9780444421005},
ISSN = {0166-2481},
Keywords = {Soil; Forming; Process;},
Owner = {alessandro}
}
@Book{ArnoldEtAl1990,
Title = {Global soil change: report of an {IIASA}-{ISSS}-{UNEP} task force on the role of soil in global change},
Address = {Laxenburg},
Author = {Arnold, R. W. and Szabolcs, I. and Targulian, V. O.},
Pages = {110},
Publisher = {International Institute for Applied Systems Analysis},
Year = {1990}
}
@Book{Arora2011,
Title = {Introduction to optimum design},
Address = {Waltham},
Author = {Jasbir Arora},
Pages = {896},
Publisher = {Academic Press},
Year = {2011},
Edition = {3},
File = {Arora2011.pdf:Arora2011.pdf:PDF},
ISBN = {978-0-12-381375-6}
}
@Article{ArrouaysEtAl2001,
Title = {The carbon content of topsoil and its geographical distribution in France},
Author = {D Arrouays and W Deslais and V Badeau},
Journal = {Soil Use and Management},
Pages = {7-11},
Volume = {17},
Year = {2001},
Doi = {10.1079/SUM200053},
Keywords = {Organic carbon, soil, climatic change, carbon dioxide, mapping, land use, France},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{ArrouaysEtAl1995,
Title = {Spatial analysis and modelling of topsoil carbon storage in temperate forest humic loamy soils of France},
Author = {D. Arrouays and I. Vion and J.L. Kicin},
Journal = {Soil Science},
Pages = {191-198},
Volume = {159},
Year = {1995},
Owner = {Administrador},
Timestamp = {2011.01.06},
Url = {http://cat.inist.fr/?aModele=afficheN&cpsidt=3487483}
}
@Article{ArtzEtAl2008,
Title = {FTIR spectroscopy can be used as a screening tool for organic matter quality in regenerating cutover peatlands},
Author = {Artz, R.R.E. and Chapman, S.J. and Robertson, A.H.J. and Potts, J.M. and Laggoun-Défarge, F. and Gogo, S. and Comont, L. and Disnar, J.-R. and Francez, A.-J.},
Journal = {Soil Biology and Biochemistry},
Pages = {515-527},
Volume = {40},
Year = {2008},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@Article{AshworthEtAl2007,
Title = {Complexation of copper by sewage sludge-derived dissolved organic matter: effects on soil sorption behaviour and plant uptake},
Author = {D. J. Ashworth and B. J. Alloway},
Journal = {Water Air and Soil Pollution},
Pages = {187-196},
Volume = {182},
Year = {2007},
Doi = {10.1007/s11270-006-9331-7},
Keywords = {Cu . DOC . DOM . free ion . heavy metals .speciation . spring barley},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Article{AssadEtAl2004,
Title = {Impacto das mudanças climáticas no zoneamento agroclimático do café no Brasil},
Author = {Eduardo Delgado Assad and Hilton Silveira Pinto and Jurandir Zullo.Junior and Ana Maria Helminsk Ávila},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {1057-1064},
Volume = {39},
Year = {2004},
Keywords = {Coffea arabica, zoneamento agrícola, aumento de temperatura.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/pab/v39n11/22575.pdf}
}
@Article{AstelEtAl2007,
Title = {Comparison of self-organizing maps classification approach with cluster and principal components analysis for large environmental data sets},
Author = {A. Astel and S. Tsakovski and P. Barbieri and V. Simeonov},
Journal = {Water Research},
Pages = {4566 - 4578},
Volume = {41},
Year = {2007},
Number = {19},
Doi = {DOI: 10.1016/j.watres.2007.06.030},
ISSN = {0043-1354},
Keywords = {Classification},
Url = {http://www.sciencedirect.com/science/article/B6V73-4P06C8J-3/2/b19c5cb55841cfbb8ec21ff185dd5e9d}
}
@Techreport{AtiyatEtAl199x,
Title = {Environmental impact assessment for domestic solid waste landfill project},
Author = {N Atiyat And M Mosa},
Pages = {10},
Year = {199x},
Institution = {Environmental Research Center, Royal Scientific Society},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{Atkinson1982,
Title = {Regression diagnostics, transformations and constructed variables},
Author = {Atkinson, A. C.},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {1-36},
Volume = {44},
Year = {1982},
Number = {1},
Copyright = {Copyright © 1982 Royal Statistical Society},
File = {:Journal of the Royal Statistical Society/Atkinson_J Royal Stat Soc_1982.pdf:PDF},
ISSN = {00359246},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1982},
Keywords = {redemds, sensitivity, monte carlo},
Language = {English},
Publisher = {Blackwell Publishing for the Royal Statistical Society},
Timestamp = {2011.02.02},
Url = {http://www.jstor.org/stable/2984705}
}
@Article{AtkinsonEtAl2007,
Title = {Non-stationary variogram models for geostatistical sampling optimisation: An empirical investigation using elevation data},
Author = {P.M. Atkinson and C.D. Lloyd},
Journal = {Computers and Geosciences},
Pages = {1285-1300},
Volume = {33},
Year = {2007},
Doi = {10.1016/j.cageo.2007.05.011},
File = {:Computers and Geosciences/Atkinson & Lloyd_Comput Geosci_2007.pdf:PDF},
Keywords = {Kriging; Spatial structure; DEM},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{AtteiaEtAl1994,
Title = {Geostatistical analysis of soil contamination in the {S}wiss {J}ura},
Author = {Atteia, O. and Dubois, J.-P. and Webster, R.},
Journal = {Environmental Pollution},
Pages = {315-327},
Volume = {86},
Year = {1994},
Month = {Jan},
Number = {3},
Doi = {10.1016/0269-7491(94)90172-4},
File = {AtteiaEtAl1994.pdf:AtteiaEtAl1994.pdf:PDF},
ISSN = {0269-7491},
Owner = {alessandro},
Publisher = {Elsevier BV},
Timestamp = {06.03.2015}
}
@Misc{Atzberger2006,
Title = {{The Monte Carlo method}},
Author = {Paul J. Atzberger},
HowPublished = {Eletronic},
Year = {2006},
File = {Atzberger2006.pdf:miscelaneous/Atzberger2006.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Pages = {13},
Timestamp = {2012.05.18}
}
@Article{AzevedoEtAl2004,
Title = {Partículas coloidais, dispersão e agregação em Latossolos},
Author = {Antonio Carlos Azevedo and Angélica Silveira Bonumá},
Journal = {Ciência Rural},
Pages = {609-617},
Volume = {34},
Year = {2004},
File = {:Ciência Rural/Azevedo & Bonumá_Cienc Rural_2004.pdf:PDF},
Keywords = {solos tropicais, mineralogia do solo, físico-química do solos, degradação do solo.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.scielo.br/pdf/cr/v34n2/a46v34n2.pdf}
}
@Techreport{Azolin1977,
Title = {Podologia das áreas marginais dos rios {I}bicuí e {V}acacaí},
Address = {Porto Alegre},
Author = {Azolin, M. A. D.},
Pages = {71},
Publisher = {Sudesul},
Year = {1977},
Note = {Unpublished}
}
@Book{AzolinEtAl1988,
Title = {Solos da bacia hidrográfica do {V}acacaí-{M}irim},
Address = {Porto Alegre},
Author = {Azolin, Miguel A D and Mutti, Luiz S M},
Pages = {20},
Publisher = {DNOS-UFSM},
Year = {1988},
File = {AzolinEtAl1988.pdf:AzolinEtAl1988.pdf:PDF},
Keywords = {PhDpaper1},
Organization = {Federal University of Santa Maria},
Owner = {alessandro},
Timestamp = {2013.05.03},
Url = {http://1drv.ms/UAFIOK}
}
@Phdthesis{Bacic2003,
Title = {Demand-driven land evaluation - with case studies in Santa Catarina, Brazil},
Author = {Ivan Luiz Zilli Bacic},
School = {Wageningen University},
Year = {2003},
File = {Bacic2003.pdf:phdthesis/Bacic2003.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@InCollection{BaconEtAl2010,
Title = {Predictive Soil Maps Based on Geomorphic Mapping, Remote Sensing, and Soil Databases in the Desert Southwest},
Author = {Bacon, S.N. and McDonald, E.V. and Dalldorf, G.K. and Baker, S.E. and Sabol, D.E. and Minor, T.B. and Bassett, S.D. and MacCabe, S.R. and Bullard, T.F.},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {411-421},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_32},
File = {BaconEtAl2010.pdf:BaconEtAl2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {Predictive soil map; Terrain hazard map; Arid soils; Geomorphology; Mojave Desert},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_32}
}
@Manual{Baddeley2010,
Title = {Analysing spatial point patterns in {R}},
Author = {Adrian Baddeley},
Edition = {4.1},
Pages = {232},
Publisher = {CSIRO},
Year = {2010},
File = {Baddeley2010.pdf:Baddeley2010.pdf:PDF},
Keywords = {ppp; Diggle; Ripley;},
Owner = {alessandro},
Timestamp = {06.09.2013},
Url = {http://www.csiro.au/files/files/piph.pdf}
}
@Article{BaddeleyEtAl2005,
Title = {spatstat: an {R} package for analyzing spatial point patterns},
Author = {Adrian Baddeley and Rolf Turner},
Journal = {Journal of Statistical Software},
Pages = {xx-xx},
Volume = {12},
Year = {2005},
Month = {1},
Number = {6},
Accepted = {2005-01-26},
Bibdate = {2005-01-26},
Coden = {JSSOBK},
Day = {26},
File = {BaddeleyEtAl2005.pdf:BaddeleyEtAl2005.pdf:PDF},
ISSN = {1548-7660},
Keywords = {ppp; point pattern analysis;},
Submitted = {2004-11-10},
Url = {http://www.jstatsoft.org/v12/i06}
}
@Article{BaddeleyEtAl2000a,
Title = {Practical Maximum Pseudolikelihood for Spatial Point Patterns (with Discussion)},
Author = {Baddeley, Adrian and Turner, Rolf},
Journal = {Aust NZ J Stat},
Pages = {283–322},
Volume = {42},
Year = {2000},
Month = {Sep},
Number = {3},
Doi = {10.1111/1467-842x.00128},
ISSN = {1467-842X},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{BaddeleyEtAl2000,
Title = {Non- and semi-parametric estimation of interaction in inhomogeneous point patterns},
Author = {Baddeley, A. J. and Moller, J. and Waagepetersen, R.},
Journal = {Statistica Neerland},
Pages = {329–350},
Volume = {54},
Year = {2000},
Month = {Nov},
Number = {3},
Doi = {10.1111/1467-9574.00144},
File = {BaddeleyEtAl2000.pdf:BaddeleyEtAl2000.pdf:PDF},
ISSN = {1467-9574},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Techreport{BaiEtAl2008,
Title = {Global assessment of land degradation and improvement. 1 - identification by remote sensing},
Address = {Wageningen},
Author = {Z G Bai and D L Dent and L Olsson and M E Schaepman},
Pages = {69},
Year = {2008},
Note = {Report 2008/01},
File = {BaiEtAl2008.pdf:BaiEtAl2008.pdf:PDF},
Institution = {ISRIC - World Soil Information},
Keywords = {land degradation/improvement, remote sensing, NDVI, net primary productivity, land use/cover, global relationships; standard deviation; coefficient of variation;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.20}
}
@Article{Baize1992,
Title = {Typologies et types en Pédologie},
Author = {Baize, D.},
Journal = {Science du Sol},
Pages = {95-115},
Volume = {30},
Year = {1992},
Number = {2},
File = {Baize1992.PDF:Baize1992.PDF:PDF},
Keywords = {soil; mapping; classification; taxonomy; pedon},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Book{BaizeEtAl2009,
Title = {Référentiel pédologique 2008},
Address = {Versailles},
Author = {Denis Baize and Michel-Claude Girard},
Pages = {405},
Publisher = {Éditions Qu{\ae}},
Year = {2009},
Edition = {3},
File = {BaizeEtAl2009.pdf:BaizeEtAl2009.pdf:PDF},
Keywords = {soil; taxonomy; classification; typology; pedon;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Article{Baker1934,
Title = {Transformation of non-normal frequency distributions into normal distributions},
Author = {Baker, G. A.},
Journal = {Annals of Mathematical Statistics},
Pages = {113-123},
Volume = {5},
Year = {1934},
Number = {2},
Copyright = {Copyright © 1934 Institute of Mathematical Statistics},
File = {Baker1934.pdf:Annals of Mathematical Statistics/Baker1934.pdf:PDF},
ISSN = {00034851},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Jun., 1934},
Language = {English},
Publisher = {Institute of Mathematical Statistics},
Url = {http://www.jstor.org/stable/2957572}
}
@Book{BalakrishnanEtAl2003,
Title = {A primer on statistical distributions},
Author = {N Balakrishnan and V B Nevzorov},
Pages = {301},
Publisher = {New Jersey, USA: John Wiley and Sons},
Year = {2003},
Edition = {1},
File = {BalakrishnanEtAl2003.pdf:Book/BalakrishnanEtAl2003.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {26.07.2010}
}
@Article{Balboa-MuriasEtAl2006,
Title = {Temporal variations and distribution of carbon stocks in aboveground biomass of radiata pine and maritime pine pure stands under different silvicultural alternatives},
Author = {Miguel Ángel Balboa-Murias and Roque Rodríguez-Soalleiro and Agustín Merino and Juan Gabriel Álvarez-González},
Journal = {Forest Ecology and Management},
Pages = {29-38},
Volume = {237},
Year = {2006},
Doi = {10.1016/j.foreco.2006.09.024},
File = {:Forest Ecology and Management/Balboa-Murias et al_Forest Ecol Manage_2006.pdf:PDF},
Keywords = {Pinus pinaster Ait.; Pinus radiata D. Don; Carbon stocks; Tree biomass; Silviculture; Site quality},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{BaldiEtAl2008,
Title = {Long-term satellite NDVI data sets: evaluating their ability to detect ecosystem functional changes in South America},
Author = {Germán Baldi and Marcelo D. Nosetto and Roxana Aragón and Fernando Aversa and J M. Paruelo and Esteban G. Jobbágy},
Journal = {Sensors},
Pages = {5397-5425},
Volume = {8},
Year = {2008},
Doi = {10.3390/s8095397},
File = {BaldiEtAl2008.pdf:BaldiEtAl2008.pdf:PDF},
Keywords = {ndvi; standard deviation; coefficient of variation; Ecosystems; time series analysis; NOAA-AVHRR; NDVI; PAL; GIMMS; FASIR; South America},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.20}
}
@Article{BaldockEtAl1997,
Title = {Assessing the extent of decomposition of natural organic materials using solid-state 13C NMR spectroscopy},
Author = {Baldock, J.A. and Oades, J.M. and Nelson, P.N. and Skene, T.M. and Golchin, A. and Clarke, P.},
Journal = {Australian Journal of Soil Research},
Pages = {1061-1083},
Volume = {35},
Year = {1997},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@Article{Ballabio2009,
Title = {Spatial prediction of soil properties in temperate mountain regions using support vector regression},
Author = {Cristiano Ballabio},
Journal = {Geoderma},
Pages = {338-350},
Volume = {151},
Year = {2009},
Doi = {10.1016/j.geoderma.2009.04.022},
File = {:Geoderma/Ballabio_Geoderma_2009.pdf:PDF},
Keywords = {Digital soil mapping, Mountain regions, Support vector regression, Model comparison},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@InCollection{BallabioEtAl2010,
Title = {Mapping Heavy Metal Content in Soils with Multi-Kernel SVR and LiDAR Derived Data},
Author = {Ballabio, Cristiano and Comolli, Roberto},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {205-216},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_17},
ISBN = {978-90-481-8862-8},
Keywords = {Support vector regression; Multi-scale modelling; LiDAR; Heavy metals},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_17}
}
@Article{BarbieroEtAl2008,
Title = {Soil morphological control on saline and freshwater lake hydrogeochemistry in the Pantanal of Nhecolândia, Brazil},
Author = {L. Barbiero and A. Rezende.Filho and S.A.C. Furquim and S. Furian and A.Y. Sakamoto and V. Valles and R.C. Graham and M. Fort and R.P.D. Ferreira and J.P. Queiroz Neto},
Journal = {Geoderma},
Pages = {91-106},
Volume = {148},
Year = {2008},
Doi = {10.1016/j.geoderma.2008.09.010},
File = {:Geoderma/Barbiero et al_Geoderma_2008.pdf:PDF},
Keywords = {Alkalinity, Sodicity, Saline lake, Soil hydrology, Nhecolândia, Pantanal, Brazil},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Techreport{BarbosaEtAl2002,
Title = {Exemplos de aplicação da cokrigagem},
Author = {Paulo M. Barbosa and José Ricardo Sturaro and Rubens Caldeira Monteiro},
Pages = {17},
Year = {2002},
Number = {9},
Organization = {UNESP},
Institution = {Universidade Estadual Paulista},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{BardossyEtAl2001,
Title = {Traditional and new ways to handle uncertainty in geology},
Author = {Bardossy, G. and Fodor, J.},
Journal = {Natural Resources Research},
Pages = {179-187},
Volume = {10},
Year = {2001},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.30}
}
@Article{Barrera-BassolsEtAl2003,
Title = {Ethnopedology: a worldwide view on the soil knowledge of local people},
Author = {N. Barrera-Bassols and J.A. Zinck},
Journal = {Geoderma},
Pages = {171-195},
Volume = {111},
Year = {2003},
File = {:Geoderma/Barrera-Basols & Zinck_Geoderma_2003.pdf:PDF},
Keywords = {Ethnopedology; Local people; Local soil knowledge; Worldwide review},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S001670610200263X}
}
@Article{Barrera-BassolsEtAl2006,
Title = {Symbolism, knowledge and management of soil and land resources in indigenous communities: Ethnopedology at global, regional and local scales},
Author = {Narciso Barrera-Bassols and J. Alfred Zinck and Eric Van Ranst},
Journal = {Catena},
Pages = {118-137},
Volume = {65},
Year = {2006},
Doi = {10.1016/j.catena.2005.11.001},
File = {Barrera-BassolsEtAl2006.pdf:Catena/Barrera-BassolsEtAl2006.pdf:PDF},
Keywords = {Ethnopedology; Ethnoecology; Global, regional and local scales; Mesoamerica; Mexico; San Francisco Picha?taro; K-C-P model; Indigenous peoples},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2009}
}
@Article{Barrera-BassolsEtAl2006a,
Title = {Local soil classification and comparison of indigenous and technical soil maps in a Mesoamerican community using spatial analysis},
Author = {N. Barrera-Bassols and J.A. Zinck and E. Van Ranst},
Journal = {Geoderma},
Pages = {140-162},
Volume = {135},
Year = {2006},
File = {:Geoderma/Barrera-Bassols et al_Geoderma_2006.pdf:PDF},
Keywords = {Local soil classification; Technical soil classification; GIS; Soil mapping comparison; Spatial correlation analysis; Mesoamerica; Mexico; Purhépecha people},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706105003083}
}
@Article{BarrettoEtAl2008,
Title = {Bibliometrics, history and geography of Brazilian research on accelerated soil erosion},
Author = {A.G.O.P. Barretto and M.G.E. Barros and G. Sparovek},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {2443-2460},
Volume = {32},
Year = {2008},
Doi = {10.1590/S0100-06832008000600022},
Keywords = {geoprocessamento, erosão hídrica, banco de dados},
Owner = {Administrador},
Timestamp = {2011.01.11}
}
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Title = {Indicators of soil quality: A South-South development of a methodological guide for linking local and technical knowledge},
Author = {E. Barrios and R.J. Delve and M. Bekunda and J. Mowo and J. Agunda and J. Ramisch and M.T. Trejo and R.J. Thomas},
Journal = {Geoderma},
Pages = {248-259},
Volume = {135},
Year = {2006},
Doi = {10.1016/j.geoderma.2005.12.007},
File = {:Geoderma/Barrios & Trejo_Geoderma_2003.pdf:PDF},
Keywords = {Soil quality; Integrated Soil Fertility Management (ISFM); Local knowledge; Participatory approaches; Latin America; Africa; South?South exchange},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2009}
}
@Article{BarriosEtAl2003,
Title = {Implications of local soil knowledge for integrated soil management in Latin America},
Author = {E. Barrios and M. T. Trejo},
Journal = {Geoderma},
Pages = {217 - 231},
Volume = {111},
Year = {2003},
Number = {3-4},
Doi = {DOI: 10.1016/S0016-7061(02)00265-3},
File = {:Geoderma/Barrios & Trejo_Geoderma_2003.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Collective action; Colombia; Honduras; Landscape; Natural resource management; Participatory methodologies; Venezuela},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002653}
}
@Article{BarronEtAl1986,
Title = {Use of the Kubelka-Munk theory to study the influence of iron oxides on soil colour},
Author = {V Barron and J Torrent},
Journal = {Journal of Soils Science},
Pages = {499-510},
Volume = {37},
Year = {1986},
File = {:Journal of Soil Science/Barron & Torrent_J Soil Sci_1986.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.uco.es/organiza/departamentos/decraf/pdf-edaf/JSS1986.pdf}
}
@Article{Barros.JuniorEtAl2004,
Title = {Diagnosis of the urban solid residue final disposal in Maringá, State of Paraná, Brazil},
Author = {Barros Júnior, C. and Célia R.G. Tavares and Sueli T.D. Barros},
Journal = {Acta Scientiarum-Technology},
Pages = {79-84},
Volume = {26},
Year = {2004},
Doi = {10.4025/actascitechnol.v26i2.1490},
File = {Barros.JuniorEtAl2004.pdf:Acta Scientiarum-Technology/Barros.JuniorEtAl2004.pdf:PDF},
Keywords = {resíduos sólidos urbanos, disposição resíduos sólidos, avaliação de resíduos.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {31.07.2009}
}
@Article{Bartlett1954,
Title = {A note on the multiplying factors for various chi-squared approximations},
Author = {Bartlett, M S},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {296-298},
Volume = {16},
Year = {1954},
Number = {2},
Copyright = {Copyright © 1954 Royal Statistical Society},
File = {Bartlett1954.pdf:Bartlett1954.pdf:PDF},
Keywords = {redemds; pca;},
Url = {http://www.jstor.org/stable/2984057}
}
@Article{Basher1997,
Title = {Is pedology dead and buried?},
Author = {L. R. Basher},
Journal = {Australian Journal of Soil Research},
Pages = {979-994},
Volume = {35},
Year = {1997},
Doi = {10.1071/S96110},
File = {Basher1997.pdf:Australian Journal of Soil Research/Basher1997.pdf:PDF},
Keywords = {redemds},
Owner = {Administrador},
Timestamp = {2011.11.16},
Url = {http://www.publish.csiro.au/paper/S96110}
}
@Article{BasilleEtAl2008,
Title = {Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis },
Author = {Mathieu Basille and Clément Calenge and Éric Marboutin and Reidar Andersen and Jean-Michel Gaillard},
Journal = {Ecological Modelling },
Pages = {233 - 240},
Volume = {211},
Year = {2008},
Number = {1–2},
Doi = {http://dx.doi.org/10.1016/j.ecolmodel.2007.09.006},
File = {BasilleEtAl2008.pdf:BasilleEtAl2008.pdf:PDF},
ISSN = {0304-3800},
Keywords = {Biplot},
Url = {http://www.sciencedirect.com/science/article/pii/S0304380007004577}
}
@Article{BatistaEtAl2006,
Title = {O modelo ISA/JP - Indicador de performance para diagnóstico do saneamento ambiental urbano},
Author = {Marie Eugénie Malzac Batista and Tarciso Cabral Silva},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {55-64},
Volume = {11},
Year = {2006},
File = {:Engenharia Sanitária e Ambiental/Batista & Silva_Eng Sanit Ambient_2006.pdf:PDF},
Keywords = {Indicador, salubridade ambiental, saneamento ambiental, gestão urbana, modelo.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.scielo.br/scielo.php?pid=S1413-41522006000100008&script=sci_abstract&tlng=pt}
}
@Techreport{Batjes2010,
Title = {A global framework of soil organic carbon stocks under native vegetation for use with the simple assessment option of the Carbon Benefits Project system (version 1.0)},
Address = {Wageningen},
Author = {Niels H Batjes},
Pages = {72},
Publisher = {ISRIC - World Soil Information},
Year = {2010},
Note = {(Report 2010/10, Carbon Benefits Project)},
File = {Batjes2010.pdf:Batjes2010.pdf:PDF},
Keywords = {soil organic carbon stocks;},
Url = {http://www.isric.org/isric/webdocs/docs/ISRIC_Report_2010_10.pdf}
}
@Manual{Batjes2008,
Title = {ISRIC-WISE Harmonized Global Soil Profile Dataset (Ver. 3.1)},
Address = {Wageningen},
Author = {Niels H Batjes},
Pages = {52},
Publisher = {ISRIC – World Soil Information},
Year = {2008},
Note = {Report 2008/02},
File = {Batjes2008.pdf:Batjes2008.pdf:PDF},
Keywords = {fao; manual;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.30},
Url = {http://www.isric.org/isric/Webdocs/Docs/}
}
@Article{Batjes2005,
Title = {Organic carbon stocks in the soils of Brazil},
Author = {Niels H Batjes},
Journal = {Soil Use and Management},
Pages = {22-24},
Volume = {21},
Year = {2005},
Doi = {10.1079/SUM2005286},
Keywords = {Organic carbon stocks, Brazil, Amazon region},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{Batjes2004,
Title = {Soil carbon stocks and projected changes according to land use and management: a case study for Kenya},
Author = {Niels H Batjes},
Journal = {Soil Use and Management},
Pages = {350-356},
Volume = {20},
Year = {2004},
Doi = {10.1079/SUM2004269},
Keywords = {Soil carbon, carbon sequestration, croplands, improved management, Kenya},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Techreport{Batjes2003,
Title = {A taxotransfer rule-based approach for filling gaps in measured soil data in primary SOTER databases (version 1.1)},
Address = {Wageningen},
Author = {Niels H Batjes},
Pages = {40},
Publisher = {ISRIC - World Soil Information},
Year = {2003},
File = {Batjes2003.pdf:Batjes2003.pdf:PDF},
Keywords = {soc stocks;},
Url = {http://www.isric.org/isric/webdocs/docs/ISRIC_Report_2003_03.pdf}
}
@Article{Batjes2000,
Title = {Effects of mapped variation in soil conditions on estimates of soil carbon and nitrogen stocks for South America},
Author = {Niels H Batjes},
Journal = {Geoderma},
Pages = {135 - 144},
Volume = {97},
Year = {2000},
Number = {1-2},
Doi = {DOI: 10.1016/S0016-7061(00)00031-8},
File = {:Geoderma/Batjes_Geoderma_2000.pdf:PDF},
ISSN = {0016-7061},
Keywords = {global change; organic carbon; total nitrogen; soil variation; South America; data aggregation},
Url = {http://www.sciencedirect.com/science/article/B6V67-40K9SDG-8/2/fb175d8802e33fcfc8455a14e7650a1e}
}
@Article{Batjes1996,
Title = {Total carbon and nitrogen in the soils of the world},
Author = {Niels H Batjes},
Journal = {European Journal of Soil Science},
Pages = {151-163},
Volume = {47},
Year = {1996},
Doi = {10.1111/j.1365-2389.1996.tb01386.x},
File = {Batjes1996.pdf:Batjes1996.pdf:PDF},
Keywords = {manual;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Book{Bauman2001,
Title = {Modernidade líquida},
Address = {Rio de Janeiro},
Author = {Zygmunt Bauman},
Publisher = {J. Zahar Editora},
Year = {2001},
Edition = {1},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.30}
}
@Article{BaumeEtAl2011,
Title = {Network optimization algorithms and scenarios in the context of automatic mapping},
Author = {O.P. Baume and A. Gebhardt and C. Gebhardt and G.B.M. Heuvelink and J. Pilz},
Journal = {Computers \& Geosciences },
Pages = {289 - 294},
Volume = {37},
Year = {2011},
Note = {<ce:title>Geoinformatics for Environmental Surveillance</ce:title> },
Number = {3},
Doi = {10.1016/j.cageo.2010.04.014},
File = {BaumeEtAl2011.pdf:BaumeEtAl2011.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Spatial sampling},
Owner = {alessandro},
Timestamp = {27.06.2013}
}
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Title = {Physical soil properties in specific fields of application especially in anthropogenic soils},
Author = {Th. Baumgartl},
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Pages = {51-59},
Volume = {47},
Year = {1998},
Keywords = {Shrinkage; Crack formation; Hydraulic conductivity; Mechanical stress; Hydraulic stress; Soil matric potential},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0167198798000725}
}
@InCollection{BaxterEtAl2007,
Title = {The spatial distribution and variation of available phosphorus in agricultural topsoil in England and Wales in 1971, 1981, 1991 and 2001},
Author = {S.J. Baxter and M.A. Oliver and J.R. Archer},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2007},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {477 - 485, 625-626},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {10.1016/S0166-2481(06)31035-5},
File = {:Developments in Soil Science/Baxter et al_Dev Soil Sci_2007.pdf:PDF},
ISSN = {0166-2481},
Timestamp = {2011.01.21}
}
@Mastersthesis{BAZAGLIA2012,
Title = {Comparison between soil maps obtained by conventional and digital methods in complex area},
Address = {Piracicaba},
Author = {Bazaglia Filho, Osmar},
Pages = {190},
School = {Escola Superior de Agricultura Luis de Queiroz},
Year = {2012},
File = {Bazaglia2012.pdf:dissertação/Bazaglia2012.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.12}
}
@Article{BeaudetteEtAl2013,
Title = {Algorithms for quantitative pedology: a toolkit for soil scientists},
Author = {Beaudette, D E. and Roudier, P. and O’Geen, A. T.},
Journal = {Computers \& Geosciences},
Pages = {258–268},
Volume = {52},
Year = {2013},
Month = {Mar},
Doi = {10.1016/j.cageo.2012.10.020},
File = {BeaudetteEtAl2013.pdf:BeaudetteEtAl2013.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Best Paper in Pedometrics 2013;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Electronic{Becker1999,
Title = {GLM: Unequal n Designs},
Author = {Lee A. Becker},
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Language = {English},
Month = {november},
Url = {http://www.uccs.edu/},
Year = {1999},
Owner = {Administrador},
Timestamp = {2011.01.17}
}
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Title = {Principles and procedures of exploratory data analysis},
Author = {John T. Behrens},
Journal = {Psychological Method},
Pages = {131-160},
Volume = {2},
Year = {1997},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://twu.seanho.com/08fall/cpsy501/articles/}
}
@Article{BehrensEtAl2005,
Title = {Digital soil mapping using artificial neural networks},
Author = {Behrens, Thorsten and Förster, Helga and Scholten, Thomas and Steinrücken, Ulrich and Spies, Ernst-Dieter and Goldschmitt, Michael},
Journal = {Journal of Plant Nutrition and Soil Science},
Pages = {21--33},
Volume = {168},
Year = {2005},
Number = {1},
Doi = {10.1002/jpln.200421414},
File = {BehrensEtAl2005.pdf:BehrensEtAl2005.pdf:PDF},
ISSN = {1522-2624},
Keywords = {soil survey, digital soil maps, predictive soil mapping, artificial neural networks, data mining, digital terrain analysis, GIS; dem; multi-scale; effect; resolution;},
Owner = {alessandro},
Publisher = {WILEY-VCH Verlag},
Timestamp = {24.02.2014}
}
@Article{BehrensEtAl2014,
Title = {Hyper-scale digital soil mapping and soil formation analysis },
Author = {Thorsten Behrens and Karsten Schmidt and Leonardo Ramirez-Lopez and John Gallant and A-Xing Zhu and Thomas Scholten},
Journal = {Geoderma },
Pages = {578 - 588},
Volume = {213},
Year = {2014},
Number = {0},
Doi = {http://dx.doi.org/10.1016/j.geoderma.2013.07.031},
File = {BehrensEtAl2014.pdf:BehrensEtAl2014.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Hyper-scale analysis; multiscale;},
Owner = {alessandro},
Timestamp = {24.02.2014}
}
@Article{BehrensEtAl2010,
Title = {The ConMap approach for terrain-based digital soil mapping},
Author = {Behrens, T. and Schmidt, K. and Zhu, A. X. and Scholten, T.},
Journal = {European Journal of Soil Science},
Pages = {133--143},
Volume = {61},
Year = {2010},
Number = {1},
Doi = {10.1111/j.1365-2389.2009.01205.x},
File = {BehrensEtAl2010.pdf:BehrensEtAl2010.pdf:PDF},
ISSN = {1365-2389},
Keywords = {multiscale;},
Publisher = {Blackwell Publishing Ltd}
}
@InCollection{BehrensEtAl2006,
Title = {A comparison of data-mining techniques in predictive soil mapping},
Author = {T. Behrens and T. Scholten},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {25},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {353 - 364, 617},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {10.1016/S0166-2481(06)31025-2},
File = {BehrensEtAl2006.pdf:Developments in Soil Science/BehrensEtAl2006.pdf:PDF},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Article{BehrensEtAl2010a,
Title = {Multi-scale digital terrain analysis and feature selection for digital soil mapping },
Author = {Thorsten Behrens and A Xing Zhu and Karsten Schmidt and Thomas Scholten},
Journal = {Geoderma },
Pages = {175-185},
Volume = {155},
Year = {2010},
Number = {3–4},
Doi = {10.1016/j.geoderma.2009.07.010},
File = {BehrensEtAl2010a.pdf:BehrensEtAl2010a.pdf:PDF},
Groups = {public},
ISSN = {0016-7061},
Keywords = {Multi-scale digital terrain analysis; DEM; resolution; effect; PCA: extrapolation; variable selection; 10-fold cross-validation; classification tree; confusion matrix; lab-based DSM; PhDpaper1;},
Owner = {alessandro},
Timestamp = {20.02.2014}
}
@Mastersthesis{Belem2008,
Title = {Zoneamento ambiental e os desafios da implementação do Parque Estadual Mata Seca, Município de Manga, Norte de Minas Gerais},
Address = {Belo Horizonte},
Author = {Ronaldo Alves Belém},
Pages = {170},
School = {Curso de Pós-graduação em Geografia, Universidade Federal de Minas Gerais},
Year = {2008},
File = {Belem2008.pdf:Belem2008.pdf:PDF},
Keywords = {redemds; mata seca},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.19},
Url = {http://goo.gl/c0Ry9}
}
@Mastersthesis{Beltrame2008,
Title = {Mapeamento da cobertura do solo ao longo da faixa de domínio de trem metropolitano: linha F em São Paulo},
Address = {São Paulo},
Author = {Alessandra Mariane Knopik Beltrame},
Pages = {104},
School = {Escola Politécnica, Universidade de São Paulo},
Year = {2008},
File = {Beltrame2008.pdf:Beltrame2008.pdf:PDF},
Keywords = {sensoriamento remoto;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.10}
}
@Mastersthesis{Benedetti2006,
Title = {Estruturação e atualização da classificação pedológica de uma base de dados de perfis de solos do Brasil},
Address = {Piracicaba},
Author = {Marcelo Muniz Benedetti},
Pages = {110},
School = {Universidade de São Paulo},
Year = {2006},
File = {Benedetti2006.pdf:Benedetti2006.pdf:PDF}
}
@Inbook{BenedettiEtAl2011,
Title = {Updated {B}razilian’s georeferenced soil database - an improvement for international scientific information exchanging},
Author = {Marcelo Muniz Benedetti and Nilton Curi and Gerd Sparovek and Amaury Carvalho Filho and Sérgio Henrique Godinho Silva},
Booktitle = {Principles, application and assessment in soil science},
Editor = {E. Burcu Özkaraova Güngör},
Pages = {309-332},
Publisher = {InTech},
Year = {2011},
File = {BenedettiEtAl2011.pdf:BenedettiEtAl2011.pdf:PDF}
}
@Article{BenedettiEtAl2008,
Title = {Representatividade e potencial de utilização de um banco de dados de solos do Brasil},
Author = {Benedetti, Marcelo Muniz and Sparovek, Gerd and Cooper, Miguel and Curi, Nilton and Carvalho Filho, Amaury de},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {2591-2600},
Volume = {32},
Year = {2008},
Number = {6},
File = {BenedettiEtAl2008.pdf:BenedettiEtAl2008.pdf:PDF},
Owner = {alessandro},
Publisher = {SciELO Brasil},
Url = {http://dx.doi.org/10.1590/S0100-06832008000600036}
}
@Article{BengioEtAl2003,
Title = {No unbiased estimator of the variance of K-fold cross-validation},
Author = {Yoshua Bengio and Yves Grandvalet},
Journal = {Journal of Machine Learning Research},
Pages = {1089-1105},
Volume = {5},
Year = {2003},
File = {BengioEtAl2003.ps:BengioEtAl2003.ps:PostScript},
Keywords = {redemds},
Url = {http://jmlr.csail.mit.edu/papers/volume5/grandvalet04a/grandvalet04a.ps}
}
@Article{BenitesEtAl2007,
Title = {Pedotransfer functions for estimating soil bulk density from existing soil survey reports in Brazil},
Author = {Vinícius M. Benites and Pedro L.O.A. Machado and Elaine C.C. Fidalgo and Maurício R. Coelho and Beáta E. Madari},
Journal = {Geoderma},
Pages = {90 - 97},
Volume = {139},
Year = {2007},
Number = {1-2},
Doi = {10.1016/j.geoderma.2007.01.005},
File = {BenitesEtAl2007.pdf:BenitesEtAl2007.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Pedotransfer functions (PTF)}
}
@Article{BenjaminiEtAl2002,
Title = {John W. Tukey's contributions to multiple comparisons},
Author = {Benjamini, Yoav and Braun, Henry},
Journal = {The Annals of Statistics},
Pages = {1576-1594},
Volume = {30},
Year = {2002},
Number = {6},
Copyright = {Copyright © 2002 Institute of Mathematical Statistics},
File = {BenjaminiEtAl2002.pdf:BenjaminiEtAl2002.pdf:PDF},
ISSN = {00905364},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Dec., 2002},
Language = {English},
Owner = {Alessandro Samuel Rosa},
Publisher = {Institute of Mathematical Statistics},
Timestamp = {2012.07.23},
Url = {http://www.jstor.org/stable/1558730}
}
@Article{BenjaminiEtAl1995,
Title = {Controlling the false discovery rate: a practical and powerful approach to multiple testing},
Author = {Benjamini, Yoav and Hochberg, Yosef},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {289-300},
Volume = {57},
Year = {1995},
Number = {1},
Copyright = {Copyright © 1995 Royal Statistical Society},
File = {BenjaminiEtAl1995.pdf:Journal of the Royal Statistical Society/BenjaminiEtAl1995.pdf:PDF},
ISSN = {00359246},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1995},
Keywords = {redemds},
Language = {English},
Publisher = {Blackwell Publishing for the Royal Statistical Society},
Url = {http://www.jstor.org/stable/2346101}
}
@Article{BenosEtAl2003,
Title = {How to review a paper},
Author = {Benos, Dale J. and Kirk, Kevin L. and Hall, John E.},
Journal = {Advances in Physiology Education},
Pages = {47-52},
Volume = {27},
Year = {2003},
Number = {2},
Doi = {10.1152/advan.00057.2002},
Eprint = {http://advan.physiology.org/content/27/2/47.full.pdf+html},
File = {BenosEtAl2003.pdf:BenosEtAl2003.pdf:PDF},
Url = {http://advan.physiology.org/content/27/2/47.abstract}
}
@Book{BergerEtAl1988,
Title = {The likelihood principle: a review, generalizations, and statistical implications},
Author = {James O. Berger and Robert L. Wolpert},
Pages = {208},
Publisher = {Hayward, California, USA: Institute of Mathematical Statistics},
Year = {1988},
Edition = {2},
File = {BergerEtAl1988.pdf:Book/BergerEtAl1988.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{Bergstrom1991,
Title = {Principles and confidence in hydrological modelling},
Author = {Bergstr{\"o}m, S},
Journal = {Nordic Hydrology},
Pages = {123-136},
Volume = {22},
Year = {1991},
Number = {2},
File = {Bergstrom1991.pdf:Bergstrom1991.pdf:PDF},
Keywords = {model building; calibration; observation; validation; model complexity; Grunwald; degrees of freedom; uncertainty; sensitivity analysis; PhDpaper1; Scale;},
Owner = {alessandro},
Url = {http://www.iwaponline.com/nh/022/nh0220123.htm}
}
@Book{Bernardes1997,
Title = {Geographic basis of settlement of Rio Grande do Sul State},
Author = {N. Bernardes},
Pages = {147},
Publisher = {Ijuí: UNIJUÍ},
Year = {1997},
Edition = {1},
Owner = {Administrador},
Timestamp = {2011.01.19}
}
@InCollection{BernouxEtAl2006,
Title = {Regional Organic Carbon Storage Maps of the Western Brazilian Amazon Based on Prior Soil Maps and Geostatistical Interpolation},
Author = {M. Bernoux and D. Arrouays and C.E.P. Cerri and C.C. Cerri},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {497 - 506, 629},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {DOI: 10.1016/S0166-2481(06)31037-9},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1R/2/cc1140ae6e649ed549a78b7279db2f43}
}
@Article{BernouxEtAl2002,
Title = {Brazil's soil carbon stocks},
Author = {Martial Bernoux and Maria Conceição Santana Carvalho and Boris Volkoff and Carlos Clemente Cerri},
Journal = {Soil Science Society of America Journal},
Pages = {888-896},
Volume = {66},
Year = {2002},
Doi = {10.2136/sssaj2002.8880},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009},
Url = {https://www.agronomy.org/publications/sssaj/articles/66/3/888}
}
@Article{Berry2007,
Title = {Lumpers and splitters propel GIS},
Author = {Joseph Berry},
Journal = {GeoWorld},
Year = {2007},
File = {Berry2007.pdf:Berry2007.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.25}
}
@Misc{BertolEtAl2012,
Title = {Carta de Lages},
Author = {Ildegardis Bertol and Álvaro Luiz Mafra and Fabrício Tondello Barbosa and David José Miquelluti and Tássio Dresch Rech and Marcelo Alves Moreira and Luciane Costa de Oliveira and Neroli Pedro Cogo and Luciano Silva Souza and Oromar J Bertol and Edemar Valdir Streck},
Year = {2012},
File = {BertolEtAl2012.pdf:BertolEtAl2012.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Pages = {11},
Timestamp = {2012.12.09},
Url = {http://www.sbcs.org.br/wp-content/uploads/2012/11/Carta-de-Lages-12.pdf}
}
@Article{BertoldoEtAl2008,
Title = {Difficulties related to the use of tests of comparison of averages in scientific articles},
Author = {Juliano Garcia Bertoldo and Jefferson Luís Meirelles Coimbra and Altamir Frederico Guidolin and Adelar Mantovani and Naine Martins Vale},
Journal = {Revista Biotemas},
Pages = {145-153},
Volume = {21},
Year = {2008},
File = {BertoldoEtAl2008.pdf:Revista Biotemas/BertoldoEtAl2008.pdf:PDF},
Keywords = {fatores qualitativos e quantitativos, comparação de médias, contrastes, regressão; multiple comparison},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.19},
Url = {http://www.biotemas.ufsc.br/volumes/pdf/volume212/p145a153.pdf}
}
@Article{BertoldoEtAl2008a,
Title = {Use or abuse in mean comparison tests: scientific or empiric knowledge?},
Author = {Juliano Garcia Bertoldo and Jefferson Luís Meirelles Coimbra and Altamir Frederico Guidolin and Aquidauana Miqueloto and Diego Toaldo},
Journal = {Ciência Rural},
Pages = {1145-1148},
Volume = {38},
Year = {2008},
Number = {4},
Doi = {10.1590/S0103-84782008000400039},
File = {BertoldoEtAl2008a.pdf:BertoldoEtAl2008a.pdf:PDF},
Keywords = {multiple comparison},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.13},
Url = {http://dx.doi.org/10.1590/S0103-84782008000400039}
}
@Article{BertoldoEtAl2007,
Title = {Test of comparison of means: difficulties and successes in scientific papers},
Author = {Juliano Garcia Bertoldo and Rocha, Fabiani da and Jefferson Luís Meirelles Coimbra and Danieli Zitterell and Grah, Vanessa Fátima},
Journal = {Revista Brasileira de Agrociência},
Pages = {441-447},
Volume = {13},
Year = {2007},
Number = {4},
File = {BertoldoEtAl2007.pdf:BertoldoEtAl2007.pdf:PDF},
Keywords = {specific qualitative factor, quantitative factor, unifatorial, factorial, interaction; multiple comparison},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.13},
Url = {http://www.ufpel.tche.br/faem/agrociencia/v13n4/artigo04.htm}
}
@Book{BertoniEtAl1999,
Title = {Conservação do solo},
Address = {São Paulo},
Author = {Bertoni, J and Lombardi Neto, F},
Pages = {355},
Publisher = {Ícone},
Year = {1999},
Edition = {4},
Owner = {pccli},
Timestamp = {2011.12.20}
}
@Article{BeuselinckEtAl2000,
Title = {Characteristics of sediment deposits formed by intense rainfall events in small catchments in the Belgian Loam Belt},
Author = {L. Beuselinck and A. Steegen and G. Govers and J. Nachtergaele and I. Takken and J. Poesen},
Journal = {Geomorphology},
Pages = {69 - 82},
Volume = {32},
Year = {2000},
Number = {1-2},
Doi = {DOI: 10.1016/S0169-555X(99)00068-9},
ISSN = {0169-555X},
Keywords = {sediment deposition},
Url = {http://www.sciencedirect.com/science/article/B6V93-3YSY18G-5/2/252bef83f06b62be42be71dfb007ad6e}
}
@Article{BevenEtAl1978,
Title = {A physically based variable contributing area model of basin hydrology},
Author = {Beven, K. and Kirkby, N.},
Journal = {Hydrological Sciences Bulletin},
Pages = {43-69},
Volume = {24},
Year = {1978},
Number = {1},
Doi = {10.1080/02626667909491834},
File = {BevenEtAl1978.pdf:BevenEtAl1978.pdf:PDF},
Owner = {pccli},
Timestamp = {2012.01.31}
}
@Article{BewketEtAl2003,
Title = {Effects of agroecological land use succession on soil properties in Chemoga watershed, Blue Nile basin, Ethiopia},
Author = {Woldeamlak Bewket and Leo Stroosnijder},
Journal = {Geoderma},
Pages = {85-98},
Volume = {111},
Year = {2003},
File = {:Geoderma/Bewket & Stroosnijder_Geoderma_2003.pdf:PDF},
Keywords = {Land use change; Eucalyptus; Grazing; Sustainability; Policy},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002550}
}
@Article{BeyerEtAl1995,
Title = {Soil organic matter composition and microbial activity in urban soils},
Author = {Lothar Beyer and Hans-Peter Blume and Dirk-Christian Elsner and Antje Willnow},
Journal = {Science of the Total Environment},
Pages = {267-278},
Volume = {168},
Year = {1995},
Keywords = {Urbic soils; Urban ecosystems; Microbial eco-physiological indicators; Litter and humic compounds; CPMAS 13C-NMR subunit},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/0048969795047045}
}
@Article{BEZERRAEtAl2002,
Title = {Assessment of multiple-comparison procedures of published articles in the journal Horticultura Brasileira from 1983 to 2000},
Author = {Bezerra Neto, Francisco and Glauber Henrique S. Nunes and Negreiros, Maria Zuleide},
Journal = {Horticultura Brasileira},
Pages = {5-9},
Volume = {20},
Year = {2002},
Number = {1},
Doi = {10.1590/S0102-05362002000100001},
File = {BezerraNetoEtAl2002.pdf:BezerraNetoEtAl2002.pdf:PDF},
Keywords = {qualitative treatments, quantitative treatments, contrasts, multiple comparison tests, regression techniques},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.13},
Url = {http://dx.doi.org/10.1590/S0102-05362002000100001}
}
@Inproceedings{BezerraEtAl2006,
Title = {Análise dos fatores que afetam o desempenho escolar nas escolas das áreas urbanas e rurais do Brasil},
Author = {Márcio Garcia Bezerra and Ana Lúcia Kassouf},
Booktitle = {XLIV CONGRESSO DA SOBER (Sociedade Brasileira de Economia e Sociologia Rural), Fortaleza, 23 a 27 de Julho de 2006},
Pages = {17},
Year = {2006},
File = {BezerraEtAl2006.pdf:Anais/BezerraEtAl2006.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05},
Url = {www.sober.org.br/palestra/5/169.pdf}
}
@Article{BheringEtAl2008,
Title = {An alternative methodology for Scott-Knott test},
Author = {Leonardo Lopes Bhering and Cosme D Cruz and Edmar Soares Vasconcelos and A Ferreira and Resende Jr, M Fernando Ribeiro},
Journal = {Crop Breeding and Applied Biotechnology},
Pages = {9-16},
Volume = {8},
Year = {2008},
File = {BheringEtAl2008.pdf:BheringEtAl2008.pdf:PDF},
Keywords = {multiple comparison procedures, plant breeding, simulation},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.17},
Url = {http://ainfo.cnptia.embrapa.br/digital/bitstream/item/17932/1/}
}
@Inproceedings{BhogalEtAl2002,
Title = {Automated methods for atmospheric correction and fusion of multispectral satellite data for national monitoring},
Author = {Bhogal, A.S. and Goodenough, D.G. and Chen, H. and Hobart, G. and Rancourt, B. and Murdoch, M. and Love, J. and Dyk, A.},
Booktitle = {Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International},
Pages = {1316-1319 vol.3},
Year = {2002},
Volume = {3},
Doi = {10.1109/IGARSS.2002.1026101},
File = {BhogalEtAl2002.pdf:BhogalEtAl2002.pdf:PDF},
Keywords = {forestry;geophysical signal processing;geophysical techniques;image processing;multidimensional signal processing;sensor fusion;vegetation mapping;Canada;EOSD;ETM+;Earth Observation for Sustainable Development;IR;Landsat TM;Radarsat;atmospheric correction;automated method;forest;forest biomass;forest change;geophysical measurement technique;hyperspectral remote sensing;image processing;infrared;multispectral remote sensing;radar remote sensing;satellite remote sensing;sensor fusion;vegetation mapping;visible;Biomass;Computerized monitoring;Data analysis;Earth;Layout;Optical sensors;Reflectivity;Remote sensing;Satellites;Sustainable development; atcorr;}
}
@Article{BierkeEtAl2008,
Title = {Crop residue management effects on organic matter in paddy soils - The lignin component},
Author = {Andreas Bierke and Klaus Kaiser and Georg Guggenberger},
Journal = {Geoderma},
Pages = {48-57},
Volume = {146},
Year = {2008},
Doi = {10.1016/j.geoderma.2008.05.004},
File = {:Geoderma/Bierke et al_Geoderma_2008.pdf:PDF},
Keywords = {Lignin, Organic matter, Paddy-soils, Crop residue, Residue management},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Book{BierkensEtAl2000,
Title = {Upscaling and downscaling methods for environmental research},
Author = {Bierkens, M and Finke, Peter and de Willigen, P},
Pages = {190},
Publisher = {Kluwer Academic},
Year = {2000},
File = {BierkensEtAl2000.pdf:BierkensEtAl2000.pdf:PDF},
ISBN = {0-7923-6399-6},
Owner = {alessandro},
Url = {http://hdl.handle.net/1854/LU-306504}
}
@Article{BierkensEtAl1993,
Title = {The indicator approach to categorical soil data},
Author = {Bierkens, M. F. P. and Burrough, P. A.},
Journal = {Journal of Soil Science},
Pages = {361-368},
Volume = {44},
Year = {1993},
Number = {2},
Doi = {10.1111/j.1365-2389.1993.tb00458.x},
File = {BierkensEtAl1993.pdf:BierkensEtAl1993.pdf:PDF},
Keywords = {Monte Carlo; Uncertainty;}
}
@Article{BierkensEtAl1998,
Title = {Upscaling hydraulic conductivity: theory and examples from geohydrological studies},
Author = {Bierkens, M. F. P. and van der Gaast, J. W. J.},
Journal = {Nutrient Cycling in Agroecosystems},
Pages = {193-207},
Volume = {50},
Year = {1998},
Doi = {10.1007/978-94-017-3021-1_19},
File = {BierkensEtAl1998.pdf:BierkensEtAl1998.pdf:PDF},
ISBN = {http://id.crossref.org/isbn/978-94-017-3021-1},
Owner = {alessandro},
Publisher = {Springer Netherlands}
}
@Book{BilodeauEtAl1999,
Title = {Theory of multivariate statistics},
Author = {Martin Bilodeau and David Brenner},
Pages = {308},
Publisher = {New York: Springer},
Year = {1999},
Edition = {1},
File = {BilodeauEtAl1999.pdf:Book/BilodeauEtAl1999.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {26.07.2010}
}
@Book{Birkeland1999,
Title = {Soils and geomorphology},
Address = {New York},
Author = {Birkeland, W.P.},
Pages = {430},
Publisher = {Oxford University Press.},
Year = {1999},
Edition = {3},
Owner = {Alessandro},
Timestamp = {2011.01.11}
}
@Article{Birmingham2003,
Title = {Local knowledge of soils: the case of contrast in Côte d'Ivoire},
Author = {Deirdre M. Birmingham},
Journal = {Geoderma},
Pages = {481-502},
Volume = {111},
Year = {2003},
File = {:Geoderma/Birmingham_Geoderma_2003.pdf:PDF},
Keywords = {Local knowledge; Indigenous knowledge; Ethnopedology; Bété; Senufo; Ivory Coast},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002781}
}
@Article{BishopEtAl1999,
Title = {Modelling soil attribute depth functions with equal-area quadratic smoothing splines},
Author = {T.F.A. Bishop and A.B. McBratney and G.M. Laslett},
Journal = {Geoderma},
Pages = {27-45},
Volume = {91},
Year = {1999},
Number = {1-2},
Doi = {10.1016/S0016-7061(99)00003-8},
File = {BishopEtAl1999.pdf:BishopEtAl1999.pdf:PDF},
ISSN = {0016-7061},
Keywords = {splines, redemds}
}
@Article{BishopEtAl2001,
Title = {A comparison of prediction methods for the creation of field-extent soil property maps},
Author = {T.F.A. Bishop and Alex B. McBratney},
Journal = {Geoderma},
Pages = {149-160},
Volume = {103},
Year = {2001},
Doi = {10.1016/S0016-7061(01)00074-X},
File = {BishopEtAl2001.pdf:Geoderma/BishopEtAl2001.pdf:PDF},
Keywords = {Jackknife, Soil prediction, Regression, Geostatistical, Precision agriculture, redemds, anudem, aic, fdr, bias, stepwise},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{Bivand2007,
Title = {Using the R-GRASS interface},
Author = {Roger Bivand},
Year = {2007},
File = {Bivand2007.pdf:Bivand2007.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Manual{BivandEtAl2013a,
Title = {rgdal: Bindings for the Geospatial Data Abstraction Library},
Author = {Roger Bivand and Tim Keitt and Barry Rowlingson},
Year = {2013},
Note = {(R package version 0.8-14)},
Abstract = {Provides bindings to Frank Warmerdam's Geospatial Data Abstraction Library (GDAL) (>= 1.6.0) and access to projection/transformation operations from the PROJ.4 library. The GDAL and PROJ.4 libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both GDAL raster and OGR vector map data can be imported into R, and GDAL raster data and OGR vector data exported. Use is made of classes defined in the sp package. Windows and Mac Intel OS X binaries (including GDAL, PROJ.4 and Expat) are provided on CRAN.},
File = {KeittEtAl2012.pdf:KeittEtAl2012.pdf:PDF},
Keywords = {R project; warping;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.24},
Url = {http://CRAN.R-project.org/package=rgdal}
}
@Manual{BivandEtAl2013,
Title = {spgrass6: Interface between GRASS 6+ geographical information system and R},
Address = {Viena},
Author = {Roger Bivand and Rainer Krug and Markus Neteler},
Pages = {14},
Publisher = {R Project},
Year = {2013},
Abstract = {Interpreted interface between GRASS 6+ geographical information system and R, based on starting R from within the GRASS environment, or running free-standing R in a temporary GRASS location; the package provides facilities for using all GRASS commands from the R command line.},
File = {BivandEtAl2013.pdf:BivandEtAl2013.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.05},
Url = {http://cran.r-project.org/web/packages/spgrass6/index.html}
}
@Book{BivandEtAl2008,
Title = {Applied spatial data analysis with R},
Address = {New York},
Author = {Roger S Bivand and Edzer J Pebesma and Virgilio Gómez-Rubio},
Pages = {374},
Publisher = {Springer},
Year = {2008},
Edition = {1},
Doi = {10.1007/978-0-387-78171-6},
File = {BivandEtAl2008.pdf:Book/BivandEtAl2008.pdf:PDF},
Keywords = {point pattern analysis; ppp; z-score;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{BloschlEtAl1995,
Title = {Scale issues in hydrological modelling: a review},
Author = {Bl{\"o}schl, G. and Sivapalan, M.},
Journal = {Hydrological Processes},
Pages = {251-290},
Volume = {9},
Year = {1995},
Month = {Apr},
Number = {3-4},
Doi = {10.1002/hyp.3360090305},
File = {BloschlEtAl1995.pdf:BloschlEtAl1995.pdf:PDF},
ISSN = {1099-1085},
Keywords = {scale; observation; sampling; process; phenomenon; TWI; catchment; conceptual model; DSM; pedometrics; regionalization; reference area; degrees of freedom;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{BlandEtAl1996,
Title = {Transforming data},
Author = {J Martin Bland and Douglas G Altman},
Journal = {British Medical Journal},
Pages = {770},
Volume = {312},
Year = {1996},
File = {BlandEtAl1996.pdf:British Medical Journal/BlandEtAl1996.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.28},
Url = {http://www.bmj.com/content/312/7033/770.full}
}
@Article{BlandEtAl1996a,
Title = {Transformations, means, and confidence intervals},
Author = {J Martin Bland and Douglas G Altman},
Journal = {British Medical Journal},
Pages = {1079},
Volume = {312},
Year = {1996},
File = {BlandEtAl1996a.pdf:British Medical Journal/BlandEtAl1996a.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.28},
Url = {http://www.bmj.com/content/312/7038/1079.full}
}
@Article{BlandEtAl1996b,
Title = {The use of transformation when comparing two means},
Author = {J Martin Bland and Douglas G Altman},
Journal = {British Medical Journal},
Pages = {1153},
Volume = {312},
Year = {1996},
File = {BlandEtAl1996b.pdf:British Medical Journal/BlandEtAl1996b.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2010.12.28},
Url = {http://www.bmj.com/content/312/7039/1153.full}
}
@Article{BlavetEtAl2009,
Title = {Effect of land use and management on the early stages of soil water erosion in French Mediterranean vineyards},
Author = {D. Blavet and G. De-Noni and Y. Le-Bissonnais and M. Leonard and L. Maillo and J.Y. Laurent and J. Asseline and J.C. Leprun and M.A. Arshad and E. Roose},
Journal = {Soil and Tillage Research},
Pages = {124-136},
Volume = {106},
Year = {2009},
Doi = {10.1016/j.still.2009.04.010},
Keywords = {Erosion, Mediterranean region; Vineyards; Soil cover; Aggregate stability; Calcic Luvisols; Rainfall simulation},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.07.2010}
}
@Article{Boardman2006,
Title = {Soil erosion science: reflections on the limitations of current approaches},
Author = {John Boardman},
Journal = {Catena},
Pages = {73-86},
Volume = {68},
Year = {2006},
Doi = {10.1016/j.catena.2006.03.007},
File = {Boardman2006.pdf:Catena/Boardman2006.pdf:PDF},
Keywords = {Soil erosion; Modelling; Monitoring; Soil conservation; Assessment; Socio-economic factors},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.07.2010}
}
@Conference{Bobovych2011,
Title = {Using OSSIM for orthorectification},
Author = {Stanislav Bobovych},
Year = {2011},
File = {Bobovych2011.pdf:Bobovych2011.pdf:PDF},
Owner = {alessandro},
Timestamp = {27.07.2013},
Url = {http://www.ci-train.org/assets/files/presentations/lecture_series/f11/ossim_f11.pdf}
}
@Article{BochetEtAl1998,
Title = {Relative efficiency of three representative matorral species in reducing water erosion at the microscale in a semi-arid climate (Valencia, Spain)},
Author = {E. Bochet and J. L. Rubio and J. Poesen},
Journal = {Geomorphology},
Pages = {139-150},
Volume = {23},
Year = {1998},
Doi = {10.1016/S0169-555X(97)00109-8},
Keywords = {Mediterranean region; microenvironment; interrill erosion; runoff; soil loss; soil properties; splash erosion; patchy mattoral},
Owner = {Fatec},
Timestamp = {2010.07.28}
}
@Inproceedings{BockEtAl2004,
Title = {New concepts and methods for creating scale independent, functional soil data base},
Author = {Bock, M. and Köthe, R.},
Booktitle = {Proceedings of the EUROSOIL 2004},
Pages = {1-10},
Year = {2004},
Address = {Freiburg},
File = {BockEtAl2004.pdf:BockEtAl2004.pdf:PDF},
Institution = {Albert-Ludwigs-Universit\"at Freiburg},
Keywords = {mass balance index; saga gis;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21},
Url = {http://www.bodenkunde2.uni-freiburg.de/eurosoil/abstracts/}
}
@Article{BockheimEtAl2010,
Title = {Soil-factorial models and earth-system science: a review},
Author = {Bockheim, J. G. and Gennadiyev, A. N.},
Journal = {Geoderma},
Pages = {243-251},
Volume = {159},
Year = {2010},
Month = {Nov},
Number = {3-4},
Doi = {10.1016/j.geoderma.2010.09.005},
File = {BockheimEtAl2010.pdf:BockheimEtAl2010.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{BockheimEtAl2000,
Title = {The role of soil-forming processes in the definition of taxa in Soil Taxonomy and the World Soil Reference Base},
Author = {J. G. Bockheim and A. N. Gennadiyev},
Journal = {Geoderma},
Pages = {53-72},
Volume = {95},
Year = {2000},
Number = {1},
Doi = {10.1016/S0016-7061(99)00083-X},
File = {BockheimEtAl2000.pdf:BockheimEtAl2000.pdf:PDF},
Keyword = {pedology, soil genesis, soil classification, soil processes, soil taxonomy, soil taxonomy, World Soil Reference Base},
Keywords = {Soil; Forming; Process;}
}
@Article{BockheimEtAl2005,
Title = {Historical development of key concepts in pedology},
Author = {J G Bockheim and A N Gennadiyev and R D Hammer and J P Tandarich},
Journal = {Geoderma},
Pages = {23 - 36},
Volume = {124},
Year = {2005},
Number = {1–2},
Doi = {10.1016/j.geoderma.2004.03.004},
File = {BockheimEtAl2005.pdf:BockheimEtAl2005.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Pedology},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706104000801}
}
@InCollection{Boettinger2010,
Title = {Environmental Covariates for Digital Soil Mapping in the Western USA},
Author = {Boettinger, J.L.},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {17-27},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_2},
ISBN = {978-90-481-8862-8},
Keywords = {Remote-sensing; Spectral reflectance; Topographic attributes; Band combinations},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_2}
}
@Electronic{Boettinger2004,
Title = {Second Global Workshop on Digital Soil Mapping, Rio de Janeiro, Brazil},
Author = {Janis L. Boettinger},
Organization = {International Union of Soil Sciences},
Url = {http://www.iuss.org/},
Year = {2004},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.25}
}
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Title = {Optimal spatial sampling design for the estimation of the variogram based on a least squares approach},
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Pages = {1275–1289},
Volume = {35},
Year = {1999},
Month = {Apr},
Number = {4},
Doi = {10.1029/1998wr900078},
File = {BogaertEtAl1999.pdf:BogaertEtAl1999.pdf:PDF},
ISSN = {0043-1397},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@InCollection{BoehnerEtAl2009,
Title = {Land-surface parameters specific to topo-climatology},
Author = {J Böhner and O Antonic},
Booktitle = {Geomorphometry - concepts, software, applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {8},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {195 - 226},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00008-1},
File = {BoehnerEtAl2009.pdf:BoehnerEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {aspect; northerness; ruggedness; mid-slope position;},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-J/2/4a64acc5071de41f178b78298135bd11}
}
@InCollection{BohnerEtAl2006,
Title = {Spatial prediction of soil attributes using terrain analysis and climate regionalisation},
Author = {J Böhner and Thomas Selige},
Booktitle = {SAGA - Analysis and Modelling Applications},
Publisher = {Göttinger Geographische Abhandlungen},
Year = {2006},
Editor = {Böhner, J. and McCloy, K.R. and Strobl, J.},
Pages = {13-28},
Volume = {115},
File = {:Goettinger Geographische Abhandlungen/Bohner e Selige_Incollection_2006.pdf:PDF},
Journal = {Göttinger Geographische Abhandlungen},
Keywords = {saga gis; relative heights; mass balance index;},
Owner = {Administrador},
Timestamp = {2011.08.10},
Url = {http://mirror.transact.net.au/pub/sourceforge/s/project/sa/saga-gis/SAGA%20-%20Documentation/GGA115/}
}
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Title = {Measuring soil erosion by field plots: understanding the sources of variation},
Author = {C. Boix-Fayos and M. Martínez-Mena and E. Arnau-Rosalén and A. Calvo-Cases and V. Castillo and J. Albaladejo},
Journal = {Earth-Science Reviews},
Pages = {267-285},
Volume = {78},
Year = {2006},
Doi = {10.1016/j.earscirev.2006.05.005},
File = {:Earth-Science Reviews/Boix-Fayos et al_Earth-Sci Rev_2006.pdf:PDF},
Keywords = {soil erosion; erosion plots; field methods; spatial pattern; scale-dependence; exhaustion of material; connectivity; water fluxes; sediment redistribution},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.07.2010}
}
@Article{BonaEtAl2006,
Title = {Carbono orgânico no solo em sistemas irrigados por aspersão sob plantio direto e preparo convencional},
Author = {Fabiano Daniel Bona and Cimélio Bayer and Homero Bergamaschi and Jeferson Dieckow},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {911-920},
Volume = {30},
Year = {2006},
Keywords = {matéria orgânica, C orgânico, irrigação, manejo de solo, decomposição de resíduos},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009},
Url = {http://www.scielo.br/pdf/rbcs/v30n5/17.pdf}
}
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Title = {Stuck in the middle: the psychophysics of goal pursuit},
Author = {Andrea Bonezzi and C. Miguel Brendl and Matteo De Angelis},
Journal = {Psychological Science},
Year = {2011},
Doi = {10.1177/0956797611404899},
File = {BonezziEtAl2011.pdf:BonezziEtAl2011.pdf:PDF},
Keywords = {motivation, goal gradient, self-regulation, monitoring progress},
Owner = {alessandro},
Timestamp = {01.10.2013}
}
@Inproceedings{BonfattiEtAl2013,
Title = {Desenvolvimento de aplicativo para classificação de solos de acordo com o Sistema Brasileiro de Classificação de Solos: primeira etapa},
Author = {Benito Roberto Bonfatti and Elvio Giasson},
Booktitle = {Brazilian Congress of Soil Science},
Pages = {4},
Publisher = {Brazilian Soil Science Society},
Year = {2013},
Address = {Florianópolis},
File = {BonfattiEtAl2013.pdf:BonfattiEtAl2013.pdf:PDF},
Url = {https://drive.google.com/file/d/0B7xsLbrOA23oNDVwNG5vakUwSU0/edit?usp=sharing}
}
@Article{BonillaEtAl2008,
Title = {Testing a grid-based soil erosion model across topographically complex landscapes},
Author = {Carlos A. Bonilla and John M. Norman and Christine C. Molling and K. G. Karthikeyan and Paul S. Miller},
Journal = {Soil Science Society of America Journal},
Pages = {1745-1755},
Volume = {72},
Year = {2008},
Doi = {10.2136/sssaj2007.0310},
Owner = {Fatec},
Timestamp = {2010.07.28}
}
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Title = {Representation and propagation of soil data uncertainties. I - Categoric atributes},
Author = {S. Bönisch and M. L. Lopes Assad and G. Câmara and A. M. V. Monteiro},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {21-32},
Volume = {28},
Year = {2004},
Number = {1},
File = {:Revista Brasileira de Ciência do Solo/Bönisch et al_RBCS_2004.pdf:PDF},
Keywords = {krigagem por indicação, análise espacial, geoestatística, SIG; redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://dx.doi.org/10.1590/S0100-06832004000100003}
}
@Article{BorgesEtAl2003,
Title = {Poder e taxas de erro tipo I dos testes Scott-Nott, Tukey e Student-Newman-Keuls sob distribuições normal e não normais dos resíduos},
Author = {Lívia Costa Borges and Daniel Furtado Ferreira},
Journal = {Revista de Matemática e Estatística},
Pages = {67-83},
Volume = {21},
Year = {2003},
Number = {1},
File = {BorgesEtAl2003.pdf:BorgesEtAl2003.pdf:PDF},
Keywords = {multiple comparison; comparações múltiplas, robustez, análise de agrupamento},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.17},
Url = {http://jaguar.fcav.unesp.br/RME/fasciculos/v21/}
}
@Article{Bortoluzzi1974,
Title = {Contribuição à geologia da região de {S}anta {M}aria, {R}io {G}rande do {S}ul, {B}rasil},
Author = {Carlos Alfredo Bortoluzzi},
Journal = {Pesquisas em Geociências},
Pages = {7-86},
Volume = {4},
Year = {1974},
Number = {1},
File = {Bortoluzzi1974.pdf:Bortoluzzi1974.pdf:PDF},
Keywords = {dnos; geologia; geomorfologia; hidrografia; caturrita;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.12},
Url = {http://seer.ufrgs.br/PesquisasemGeociencias/article/view/21834}
}
@InCollection{BoruvkaEtAl2006,
Title = {A Test of an Artificial Neural Network Allocation Procedure using the Czech Soil Survey of Agricultural Land Data},
Author = {L. Boruvka and V. Penizek},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {30},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {415 - 424},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {DOI: 10.1016/S0166-2481(06)31030-6},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1F/2/4ec49dfb1389fa5d7e27df009a4aa144}
}
@Mastersthesis{Botelho2005,
Title = {Avaliação da cor e comportamento espectral de algumas classes de solos do Rio Grande do Sul},
Address = {Santa Maria},
Author = {Márcio Ramos Botelho},
Pages = {103f.},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2005},
Keywords = {Cor do solo, Espectrorradiometria, Sensoriamento remoto.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {12.10.2009},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Article{BotelhoEtAl2006,
Title = {Medida da cor em solos do Rio Grande do Sul com a carta de Munsell e por colorimetria},
Author = {Márcio Ramos Botelho and Ricardo Simão Diniz Dalmolin and Fabrício Araújo Pedron and Antonio Carlos Azevedo and Rodrigo Borkowski Rodrigues and Pablo Miguel},
Journal = {Ciência Rural},
Pages = {1179-1185},
Volume = {36},
Year = {2006},
Doi = {10.1590/S0103-84782006000400021},
File = {:Ciência Rural/Botelho et al_Cienc Rural_2006.pdf:PDF},
Keywords = {pedologia, morfologia do solo, gênese do solo, sensoriamento remoto.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {09.10.2009}
}
@Article{Bouma2014,
Title = {Soil science contributions towards {S}ustainable {D}evelopment {G}oals and their implementation: linking soil functions with ecosystem services},
Author = {Bouma, Johan},
Journal = {Journal of Plant Nutrition and Soil Science},
Pages = {111–120},
Volume = {177},
Year = {2014},
Month = {Feb},
Number = {2},
Doi = {10.1002/jpln.201300646},
File = {Bouma2014.pdf:Bouma2014.pdf:PDF},
ISSN = {1436-8730},
Keywords = {Policy;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{BoumaEtAl1998,
Title = {Soil and water quality at different scales: concepts, challenges, conclusions and recommendations},
Author = {Bouma, J. and Finke, P. A. and Hoosbeek, M. R. and Breeuwsma, A.},
Journal = {Nutrient Cycling in Agroecosystems},
Pages = {5-11},
Volume = {50},
Year = {1998},
Number = {1/3},
Doi = {10.1023/a:1009762010890},
File = {BoumaEtAl1998.pdf:BoumaEtAl1998.pdf:PDF},
ISSN = {1385-1314},
Keywords = {Scale; Support; Spatial; Pedometrics; DSM; Resolution;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Inbook{BoumaEtAl2014,
Title = {The soil and water {N}exus for sustainable livelihoods},
Address = {München},
Author = {Johan Bouma and Luca Montanarella},
Booktitle = {Soils in the {N}exus. {A} crucial resource for water, energy and food security},
Editor = {Jes Weigelt and Alexander Müller and Klaus Töpfer and Charlotte Beckh},
Publisher = {Oekom},
Year = {2014},
File = {BoumaEtAl2014.pdf:BoumaEtAl2014.pdf:PDF},
Owner = {alessandro},
Timestamp = {09.03.2015},
Url = {https://www.researchgate.net/profile/Johan_Bouma}
}
@Article{Bou-ZeidEtAl2004,
Title = {Parametric sensitivity analysis of leachate transport simulations at landfills},
Author = {E. Bou-Zeid and M. El-Fadel},
Journal = {Waste Management},
Pages = {681?689},
Volume = {24},
Year = {2004},
Doi = {10.1016/j.wasman.2004.03.004},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{Box1954,
Title = {Some theorems on quadratic forms applied in the study of analysis of variance problems, I. effect of inequality of variance in the one-way classification},
Author = {Box, G.E.P.},
Journal = {Annals of Mathematical Statistics},
Pages = {290-302},
Volume = {25},
Year = {1954},
Number = {2},
Copyright = {Copyright © 1954 Institute of Mathematical Statistics},
File = {Box1954.pdf:Annals of Mathematical Statistics/Box1954.pdf:PDF},
ISSN = {00034851},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Jun., 1954},
Language = {English},
Publisher = {Institute of Mathematical Statistics},
Url = {http://www.jstor.org/stable/2236731}
}
@Article{Box1953,
Title = {Non-normality and tests on variances},
Author = {Box, G.E.P.},
Journal = {Biometrika},
Pages = {318-335},
Volume = {40},
Year = {1953},
Number = {3/4},
Copyright = {Copyright © 1953 Biometrika Trust},
File = {Box1953.pdf:Biometrika/Box1953.pdf:PDF},
ISSN = {00063444},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Dec., 1953},
Language = {English},
Publisher = {Biometrika Trust},
Url = {http://www.jstor.org/stable/2333350}
}
@Article{Box1994,
Title = {Statistics and quality improvement},
Author = {George Edward Pelham Box},
Journal = {Journal of the Royal Statistical Society. Series A (Statistics in Society)},
Pages = {209-229},
Volume = {157},
Year = {1994},
Number = {2},
Copyright = {Copyright © 1994 Royal Statistical Society},
File = {Box1994.pdf:Journal of the Royal Statistical Society/Box1994.pdf:PDF},
ISSN = {09641998},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1994},
Keywords = {redemds},
Language = {English},
Publisher = {Blackwell Publishing for the Royal Statistical Society},
Url = {http://www.jstor.org/stable/2983359}
}
@Article{Box1993,
Title = {Quality improvement: the new industrial revolution},
Author = {George Edward Pelham Box},
Journal = {International Statistical Review},
Pages = {3-19},
Volume = {61},
Year = {1993},
Number = {1},
Copyright = {Copyright © 1993 International Statistical Institute (ISI)},
File = {Box1993.pdf:International Statistical Review/Box1993.pdf:PDF},
ISSN = {03067734},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Apr., 1993},
Jstor_issuetitle = {Special Issue on Statistics in Industry},
Keywords = {redemds},
Language = {English},
Publisher = {International Statistical Institute (ISI)},
Url = {http://www.jstor.org/stable/1403590}
}
@Article{Box1980,
Title = {Sampling and Bayes' inference in scientific modelling and robustness},
Author = {George Edward Pelham Box},
Journal = {Journal of the Royal Statistical Society. Series A (General)},
Pages = {383-430},
Volume = {143},
Year = {1980},
Number = {4},
Copyright = {Copyright © 1980 Royal Statistical Society},
File = {Box1980.pdf:Journal of the American Statistical Association/Box1980.pdf:PDF},
ISSN = {00359238},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1980},
Keywords = {redemds},
Language = {English},
Publisher = {Blackwell Publishing for the Royal Statistical Society},
Url = {http://www.jstor.org/stable/2982063}
}
@Article{Box1976,
Title = {Science and statistics},
Author = {George Edward Pelham Box},
Journal = {Journal of the American Statistical Association},
Pages = {791-799},
Volume = {71},
Year = {1976},
Number = {356},
Copyright = {Copyright © 1976 American Statistical Association},
File = {Box1976.pdf:Journal of the American Statistical Association/Box1976.pdf:PDF},
Keywords = {redemds},
Language = {English},
Url = {http://www.jstor.org/stable/2286841}
}
@Article{BoxEtAl1964,
Title = {An analysis of transformations},
Author = {Box, G. E. P. and Cox, D. R.},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {211-252},
Volume = {26},
Year = {1964},
Number = {2},
Copyright = {Copyright © 1964 Royal Statistical Society},
File = {BoxEtAl1964.pdf:Journal of the Royal Statistical Society/BoxEtAl1964.pdf:PDF},
ISSN = {00359246},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1964},
Language = {English},
Publisher = {Blackwell Publishing for the Royal Statistical Society},
Url = {http://www.jstor.org/stable/2984418}
}
@Article{BoxEtAl1975,
Title = {Robust designs},
Author = {Box, G. E. P. and Draper, N. R.},
Journal = {Biometrika},
Pages = {347–352},
Volume = {62},
Year = {1975},
Month = {Aug},
Number = {2},
Doi = {10.1093/biomet/62.2.347},
ISSN = {1464-3510},
Owner = {alessandro},
Publisher = {Oxford University Press (OUP)}
}
@Inbook{BoxEtAl1992,
Title = {On the experimental attainment of optimum conditions},
Address = {New York},
Author = {Box, G. E. P. and Wilson, K. B.},
Booktitle = {Breakthroughs in statistics - methodology and distribution},
Editor = {Kotz, Samuel and Johnson, Norman L.},
Pages = {270–310},
Publisher = {Springer},
Year = {1992},
Series = {Springer Series in Statistics - Perspectives in Statistics},
Doi = {10.1007/978-1-4612-4380-9_23},
ISBN = {http://id.crossref.org/isbn/978-1-4612-4380-9},
ISSN = {0172-7397},
Owner = {alessandro}
}
@Article{BoxEtAl1951,
Title = {On the experimental attainment of optimum conditions},
Author = {Box, G. E. P. and Wilson, K. B.},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {1-45},
Volume = {13},
Year = {1951},
Number = {1},
Copyright = {Copyright © 1951 Royal Statistical Society},
File = {BoxEtAl1951.pdf:BoxEtAl1951.pdf:PDF},
ISSN = {00359246},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1951},
Language = {English},
Owner = {alessandro},
Publisher = {Wiley for the Royal Statistical Society},
Url = {http://www.jstor.org/stable/2983966}
}
@Article{BoydEtAl2005,
Title = {Satellite remote sensing of forest resources: three decades of research development},
Author = {D.S. Boyd and F.M. Danson},
Journal = {Progress in Physical Geography},
Pages = {1-26},
Volume = {29},
Year = {2005},
Number = {1},
Keywords = {biophysical and biochemical properties, dynamics, extent, forest resources, forest type, satellite remote sensing},
Owner = {Administrador},
Timestamp = {2011.08.16},
Url = {http://www.clas.ufl.edu/users/mbinford/}
}
@Book{BradyEtAl2003,
Title = {Elements of the nature and properties of soils},
Address = {Upper Saddle River},
Author = {Brady, N. C. and R. R. Weil},
Publisher = {Prentice-Hall},
Year = {2003},
Edition = {2}
}
@Article{BragaEtAl2008,
Title = {O uso do geoprocessamento no diagnóstico dos roteiros de coleta de lixo da cidade de Manaus},
Author = {José Olavo Nogueira Braga and Lizit Alencar da Costa and André Luiz Guimarães and Julio César Rodrigues Tello},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {387-394},
Volume = {13},
Year = {2008},
File = {:Engenharia Sanitária e Ambiental/Braga et al_Eng Sanit Ambient_2008.pdf:PDF},
Keywords = {Limpeza pública, GPS, diagnóstico.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.abes-dn.org.br/publicacoes/engenharia/resaonline/v13n04/}
}
@Mastersthesis{Branco1998,
Title = {Avaliação da produção de sedimentos de eventos chuvosos em uma pequena bacia hidrográfica rural de encosta},
Address = {Santa Maria},
Author = {Norberto Branco},
Pages = {119},
School = {Programa de Pós-Graduação em Engenharia Agrícola, Federal University of Santa Maria},
Year = {1998},
File = {Branco1998.pdf:dissertação/Branco1998.pdf:PDF},
Keywords = {dnos; geologia; geomorfolo; caturrita;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.12}
}
@Manual{Brasil2012,
Title = {Geo Catálogo do Ministério do Meio Ambiente - manual de uso},
Address = {Brasília},
Author = {Brasil},
Edition = {1.0},
Editor = {Santiago e Cintra Consultoria,},
Pages = {35},
Publisher = {Ministério do Meio Ambiente},
Year = {2012},
File = {Brasil2012.pdf:Brasil2012.pdf:PDF},
Keywords = {RapidEye},
Owner = {alessandro},
Timestamp = {2013.05.03},
Url = {http://geocatalogos.sccon.com.br/mma}
}
@Techreport{Brasil1984,
Title = {Decreto nº 89.817, de 20 de junho de 1984. Estabelece as Instruções Reguladoras das Normas Técnicas da Cartografia Nacional.},
Address = {Brasília},
Author = {Brasil},
Pages = {8884-8886},
Publisher = {Diário Oficial [da República Federativa do Brasil]},
Year = {1984},
Month = {06},
File = {Brasil1984.pdf:Brasil1984.pdf:PDF},
Keywords = {CONCAR;},
Owner = {alessandro},
Timestamp = {04.12.2013},
Url = {http://www.concar.ibge.gov.br/detalheDocumentos.aspx?cod=8}
}
@Techreport{Brasil1980,
Title = {Geologic map of the sheet {S}anta {M}aria, {RS}},
Address = {Santa Maria},
Author = {Brasil},
Year = {1980},
Note = {1 mapa, preto e braco. Escala 1:50.000},
Institution = {Federal University of Santa Maria},
Keywords = {redemds; dnos},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.30}
}
@Book{Brasil1973,
Title = {Levantamento de reconhecimento dos solos do estado do {R}io {G}rande do {S}ul},
Address = {Recife},
Author = {Brasil},
Pages = {431},
Publisher = {Ministério da Agricultura. Departamento Nacional de Pesquisa Agropecuária. Divisão de Pesquisa Pedológica},
Year = {1973},
Note = {Scale 1:750,000},
Owner = {pccli},
Timestamp = {2011.07.13},
Url = {http://library.wur.nl/isric/fulltext/isricu_i00003061_001.pdf}
}
@Article{BrasileiroEtAl2008,
Title = {Análise do uso de SIG no roteamento dos veículos de coleta de resíduos sólidos domiciliares},
Author = {Luzenira Alves Brasileiro and Márcio Gonçalves Lacerda},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {356-360},
Volume = {13},
Year = {2008},
File = {:Engenharia Sanitária e Ambiental/Brasileiro & Lacerda_Eng Sanit Ambient_2008.pdf:PDF},
Keywords = {SIG, roteirização de veículos de coleta, resíduos sólidos domiciliares.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.abes-dn.org.br/publicacoes/engenharia/resaonline/v13n04/}
}
@InCollection{BraudeauEtAl2004,
Title = {Estimating soil shrinkage parameters},
Author = {E. Braudeau and R.H. Mohtar and N. Chahinian},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {225 - 240},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30013-9},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-F/2/e31f607da1d1eea85266433e650a15c1}
}
@Manual{Breiman2002,
Title = {Manual on setting up, using, and understanding random forests},
Address = {Berkley},
Author = {Breiman, Leo},
Edition = {3.1},
Pages = {29},
Publisher = {University of California. Department of Statistics},
Year = {2002},
File = {Breiman2002.pdf:Breiman2002.pdf:PDF},
Url = {http://www.stat.berkeley.edu/~breiman/Using_random_forests_V3.1.pdf}
}
@Article{Breiman2001,
Title = {Random forests},
Author = {Breiman, Leo},
Journal = {Machine Learning},
Pages = {5-32},
Volume = {45},
Year = {2001},
Number = {1},
Doi = {10.1023/a:1010933404324},
File = {Breiman2001.pdf:Breiman2001.pdf:PDF},
ISSN = {0885-6125},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{Breiman1996,
Title = {Bagging predictors},
Author = {Breiman, Leo},
Journal = {Mach Learn},
Pages = {123-140},
Volume = {24},
Year = {1996},
Month = {Aug},
Number = {2},
Doi = {10.1007/bf00058655},
File = {Breiman1996.pdf:Breiman1996.pdf:PDF},
ISSN = {1573-0565},
Keywords = {Random; Forest;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Manual{Brenning2013,
Title = {RSAGA: SAGA Geoprocessing and Terrain Analysis in R},
Author = {Alexander Brenning},
Pages = {78},
Publisher = {R Project},
Year = {2013},
Abstract = {RSAGA provides access to geocomputing and terrain analysis functions of SAGA from within R by running the command line version of SAGA. In addition, several R functions for handling and manipulating ASCII grids are provided, including a flexible framework for applying local functions (including predict methods of fitted models) or focal functions to multiple grids. SAGA GIS is available under GPL via http://sourceforge.net/projects/saga-gis/.},
File = {Brenning2013.pdf:Brenning2013.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.30},
Url = {http://cran.r-project.org/web/packages/RSAGA/index.html}
}
@Techreport{BreslerEtAl1982,
Title = {Soil parameters and sampling scheme for characterizing soil hydraulic properties of a watershed},
Address = {Honolulu},
Author = {Bresler, Eshel and Richard E. Green},
Pages = {42},
Publisher = {University of Hawaii at Manoa},
Year = {1982},
Note = {Technical {R}eport 148},
File = {BreslerEtAl1982.pdf:BreslerEtAl1982.pdf:PDF},
Url = {http://hdl.handle.net/10125/1983}
}
@Misc{Breslow1995,
Title = {Generalized linear models: checking assumptions and strengthening conclusions},
Author = {N. E. Breslow},
Year = {1995},
Abstract = {Key assumptions that underlie the application of standard generalized linear models (GLMs) include the statistical independence of the observations, the correct specification of the link and variance functions, the correct scale for measurement of the explanatory variables and the lack of undue in uence of individual observations on the tted model.. Using data on counts of epileptic seizures before and after treatment (Thall and Vail, 1990) for illustration, this paper reviews methods that may be applied after tting a GLM to detect departures from the key assumptions and to make valid inferences even in the face of them. Problems of overdispersion may be resolved by recourse to the jackknife, the bootstrap or the \sandwich" standard error estimates, for example, as well as by tting of models with parameters in the variance function. Many of the techniques are easily implemented in the S statistical language by calling routines already developed for linear model analysis.},
Booktitle = {Congresso Nazionale, Societa' Italiana di Biometria},
File = {Breslow1995.pdf:miscelaneous/Breslow1995.pdf:PDF},
Institution = {Congresso Nazionale, Societa' Italiana di Biometria, Centro Convegni S. Agostino, Cortona, 16-17 June, 1995},
Organization = {Societa' Italiana di Biometria, Centro Convegni S. Agostino, Cortona},
Owner = {Alessandro},
Pages = {19},
Publisher = {Societa' Italiana di Biometria},
Timestamp = {2011.02.18},
Url = {http://faculty.washington.edu/norm/pubs/glm.pdf}
}
@Article{BricklemyerEtAl2007,
Title = {Sensitivity of the {C}entury model to scale-related soil texture variability},
Author = {Bricklemyer, Ross S. and Miller, P. R. and Turk, P. J. and Paustian, K. and Keck, T. and Nielsen, G. A.},
Journal = {Soil Science Society of America Journal},
Pages = {784},
Volume = {71},
Year = {2007},
Number = {3},
Doi = {10.2136/sssaj2006.0168},
File = {BricklemyerEtAl2007.pdf:BricklemyerEtAl2007.pdf:PDF},
ISSN = {1435-0661},
Owner = {alessandro},
Publisher = {Soil Science Society of America}
}
@Article{Brindley19xx,
Title = {Identification of clay minerals by x-ray diffraction analysis},
Author = {George W . Brindley},
Journal = {Clays and Clay Minerals},
Pages = {119-129},
Volume = {xx},
Year = {19xx},
File = {:Clays and Clay Minerals/Brindley_Clay Clay Miner_199_.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.clays.org/journal/archive/volume%201/1-1-119.pdf}
}
@Mastersthesis{Britzke2010,
Title = {Mineralogia e liberação de potássio em solos de várzea do Rio Grande do Sul},
Address = {Santa Maria},
Author = {Darinês Britzke},
Pages = {75},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2010},
File = {Britzke2010.pdf:dissertação/Britzke2010.pdf:PDF},
Institution = {Federal University of Santa Maria},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.11},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Article{BrixEtAl2001,
Title = {Spatiotemporal prediction for log-{G}aussian {C}ox processes},
Author = {Brix, Anders and Diggle, Peter J.},
Journal = {Journal of The Royal Statistical Society. Series B (Statistical Methodology)},
Pages = {823-841},
Volume = {63},
Year = {2001},
Number = {4},
Abstract = {Space-time point pattern data have become more widely available as a result of technological developments in areas such as geographic information systems. We describe a flexible class of space-time point processes. Our models are Cox processes whose stochastic intensity is a space-time Ornstein-Uhlenbeck process. We develop moment-based methods of parameter estimation, show how to predict the underlying intensity by using a Markov chain Monte Carlo approach and illustrate the performance of our methods on a synthetic data set.},
Copyright = {Copyright © 2001 Royal Statistical Society},
File = {BrixEtAl2001.pdf:BrixEtAl2001.pdf:PDF},
ISSN = {13697412},
Jstor_articletype = {research-article},
Jstor_formatteddate = {2001},
Language = {English},
Publisher = {Wiley for the Royal Statistical Society},
Url = {http://www.jstor.org/stable/2680669}
}
@Manual{Brown1998,
Title = {Recommended Chemical Soil Test Procedures for the North Central Region},
Address = {Columbia},
Author = {J.R. Brown},
Pages = {72},
Publisher = {Missouri Agricultural Experiment Station},
Year = {1998},
Note = {(North Central Regional Research Publication No. 221)},
File = {Brown1998.pdf:Brown1998.pdf:PDF},
Keywords = {soil analysis; laboratory;},
Owner = {alessandro},
Timestamp = {18.07.2013},
Url = {http://ncera-13.missouri.edu/pdf/sb1001_updatedOct2012.pdf}
}
@Article{Brown2004,
Title = {Knowledge, uncertainty and physical geography: towards the development of methodologies for questioning belief},
Author = {Brown, James D},
Journal = {Transactions of the Institute of British Geographers},
Pages = {367-381},
Volume = {29},
Year = {2004},
Number = {3},
Doi = {10.1111/j.0020-2754.2004.00342.x},
ISSN = {1475-5661},
Keywords = {imperfect knowledge, uncertainty, critical realism, closure},
Publisher = {Blackwell Publishing, Ltd.},
Url = {http://dx.doi.org/10.1111/j.0020-2754.2004.00342.x}
}
@Article{Browne2000,
Title = {Cross-validation methods},
Author = {Michael W Browne},
Journal = {Journal of Mathematical Psychology},
Pages = {108-132},
Volume = {44},
Year = {2000},
Number = {1},
Doi = {10.1006/jmps.1999.1279},
File = {Browne2000.pdf:Journal of Mathematical Psychology/Browne2000.pdf:PDF},
ISSN = {0022-2496},
Keywords = {redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0022249699912798}
}
@InCollection{Bruand2004a,
Title = {Preliminary grouping of soils},
Author = {A. Bruand},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {159 - 174},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30010-3},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-B/2/f49ef299f74a21d1277d35c6a5840a24}
}
@Article{BrulandEtAl2005,
Title = {Spatial variability of soil properties in created, restored, and paired natural wetlands},
Author = {G. L. Bruland and C. J. Richardson},
Journal = {Soil Science Society of America Journal},
Pages = {273-284},
Volume = {69},
Year = {2005},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {https://www.soils.org/publications/sssaj/pdfs/69/1/0273}
}
@Article{BrumEtAl2011,
Title = {Modelagem ambiental: perspectivas e contribuições},
Author = {Brum, R. da Silva and Neves, C. S. and Kirinus, E. de Paula and Santos, R. dos and Emmendorfer, L. R.},
Journal = {Revista Jr de Iniciação Científica em Ciências Exatas e Engenharia},
Pages = {15-20},
Volume = {3},
Year = {2011},
File = {BrumEtAl2011.pdf:BrumEtAl2011.pdf:PDF},
Keywords = {environmental modeling},
Owner = {alessandro},
Timestamp = {05.09.2013},
Url = {http://www.icceeg.c3.furg.br/index.php?Itemid=837&option=bloco_texto&id_site_componente=1241}
}
@Article{BrunettoEtAl2006,
Title = {Evaluation of the loss-on-ignition method in the organic matter analysis in soils of the Serra Gaúcha of the Rio Grande do Sul},
Author = {Gustavo Brunetto and George Wellington Melo and João Kaminski and Vaneila Furlanetto and Flávio Bello Fialho},
Journal = {Ciência Rural},
Pages = {1936-1939},
Volume = {36},
Year = {2006},
Doi = {10.1590/S0103-84782006000600045},
File = {:Ciência Rural/Brunetto et al_Cienc Rural_2006.pdf:PDF},
Keywords = {method, wet digestion, organic carbon, soil organic matter, comparação de métodos; soc methods;},
Owner = {pccli},
Timestamp = {2011.05.24}
}
@InCollection{BrungardEtAl2010,
Title = {Conditioned {L}atin hypercube sampling: optimal sample size for digital soil mapping of arid rangelands in {U}tah, {USA}},
Author = {Brungard, C. W. and Boettinger, J. L.},
Booktitle = {Digital soil mapping: bridging research, environmental application, and operation},
Publisher = {Springer Netherlands},
Year = {2010},
Chapter = {6},
Editor = {Janis L. Boettinger and David W. Howell and Amanda C. Moore and Alfred E. Hartemink and Suzann Kienast-Brown},
Pages = {67-75},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_6},
File = {BrungardEtAl2010.pdf:BrungardEtAl2010.pdf:PDF},
ISBN = {http://id.crossref.org/isbn/978-90-481-8863-5},
Journal = {Digital Soil Mapping},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro}
}
@Inproceedings{BrunsdonEtAl2012,
Title = {Living with collinearity in local regression models},
Author = {Chris Brunsdon and Martin Charlton and Paul Harris},
Booktitle = {Accuracy 2012 - International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences},
Editor = {Carlos Vieira and Vania Bogorny and Arthur Ribeiro Aquino},
Pages = {67-72},
Publisher = {Federal University of Santa Catarina/State University of Santa Catarina},
Year = {2012},
Address = {Florianópolis},
Volume = {10},
Institution = {Federal University of Santa Catarina and State University of Santa Catarina},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.18},
Url = {http://www.spatial-accuracy.org/Accuracy2012}
}
@Article{BrusEtAl2012,
Title = {A hybrid design-based and model-based sampling approach to estimate the temporal trend of spatial means},
Author = {Brus, D.J. and de Gruijter, J.J.},
Journal = {Geoderma},
Pages = {241–248},
Volume = {173-174},
Year = {2012},
Month = {Mar},
Doi = {10.1016/j.geoderma.2011.12.010},
File = {BrusEtAl2012.pdf:BrusEtAl2012.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{Brus2015,
Title = {Balanced sampling: A versatile sampling approach for statistical soil surveys},
Author = {Brus, D J},
Journal = {Geoderma},
Pages = {111-121},
Volume = {253-254},
Year = {2015},
__markedentry = {[alessandro:1]},
Doi = {10.1016/j.geoderma.2015.04.009},
File = {Brus2015.pdf:Brus2015.pdf:PDF},
Owner = {alessandro},
Timestamp = {24.04.2015}
}
@Inbook{Brus2010,
Title = {Statistical sampling strategies for survey of soil contamination},
Author = {Brus, Dick J.},
Pages = {165-206},
Publisher = {Springer Science + Business Media},
Year = {2010},
Chapter = {4},
Month = {Nov},
Doi = {10.1007/978-90-481-9757-6_4},
File = {Brus2010.pdf:Brus2010.pdf:PDF},
ISBN = {http://id.crossref.org/isbn/978-90-481-9757-6},
Journal = {Dealing with Contaminated Sites},
Owner = {guest002},
Timestamp = {2015.04.08}
}
@Article{BrusEtAl2008,
Title = {Bayesian Maximum Entropy prediction of soil categories using a traditional soil map as soft information},
Author = {Brus, Dick J and Bogaert, P and Heuvelink, Gerard B M},
Journal = {European Journal of Soil Science},
Pages = {166-177},
Volume = {59},
Year = {2008},
Number = {2},
Doi = {10.1111/j.1365-2389.2007.00981.x},
File = {BrusEtAl2008.pdf:BrusEtAl2008.pdf:PDF},
Keywords = {redemds; uncertainty}
}
@Article{BrusEtAl2003,
Title = {A method to combine non-probability sample data with probability sample data in estimating spatial means of environmental variables},
Author = {Brus, D. J. and {de Gruijter}, J. J.},
Journal = {Environ Monit Assess},
Pages = {303--317},
Volume = {83},
Year = {2003},
Month = {Apr},
Number = {3},
Abstract = {In estimating spatial means of environmental variables of a region from data collected by convenience or purposive sampling, validity of the results can be ensured by collecting additional data through probability sampling. The precision of the pi estimator that uses the probability sample can be increased by interpolating the values at the nonprobability sample points to the probability sample points, and using these interpolated values as an auxiliary variable in the difference or regression estimator. These estimators are (approximately) unbiased, even when the nonprobability sample is severely biased such as in preferential samples. The gain in precision compared to the pi estimator in combination with Simple Random Sampling is controlled by the correlation between the target variable and interpolated variable. This correlation is determined by the size (density) and spatial coverage of the nonprobability sample, and the spatial continuity of the target variable. In a case study the average ratio of the variances of the simple regression estimator and pi estimator was 0.68 for preferential samples of size 150 with moderate spatial clustering, and 0.80 for preferential samples of similar size with strong spatial clustering. In the latter case the simple regression estimator was substantially more precise than the simple difference estimator.},
Doi = {10.1023/A:1022618406507},
File = {BrusEtAl2003.pdf:BrusEtAl2003.pdf:PDF},
Institution = {Alterra, Green World Research, Department of Soil and Land Use, Wageningen, The Netherlands. [email protected]},
Keywords = {Data Collection; Environmental Monitoring, methods/statistics /&/ numerical data; Random Allocation; Research Design; Sample Size; Sampling Studies},
Language = {eng},
Medline-pst = {ppublish},
Owner = {guest002},
Pmid = {12718515},
Timestamp = {2015.04.08}
}
@Article{BrusEtAl1997,
Title = {Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil (with Discussion)},
Author = {Dick J Brus and de Gruijter, Jaap J},
Journal = {Geoderma},
Pages = {1-44},
Volume = {80},
Year = {1997},
Number = {1-2},
Doi = {10.1016/S0016-7061(97)00072-4},
File = {:Geoderma/Brus & de Gruijter_Geoderma_1997.pdf:PDF},
Keywords = {sampling; geostatistics; soil science; spatial interpolation; redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{BrusEtAl1994,
Title = {Estimation of non-ergodic variograms and their sampling variance by design-based sampling strategies},
Author = {Brus, D. J. and de Gruijter, J. J.},
Journal = {Mathematical Geology},
Pages = {437-454},
Volume = {26},
Year = {1994},
Month = {May},
Number = {4},
Doi = {10.1007/bf02083488},
File = {BrusEtAl1994.pdf:BrusEtAl1994.pdf:PDF},
ISSN = {1573-8868},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@InCollection{BrusEtAl2006,
Title = {Designing spatial coverage samples using the k-means clustering algorithm},
Author = {D J Brus and de Gruijter, Jaap J and van Groenigen, J W},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Address = {Amsterdam},
Chapter = {14},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {183-192},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {10.1016/S0166-2481(06)31014-8},
File = {BrusEtAl2006.pdf:Developments in Soil Science/BrusEtAl2006.pdf:PDF},
ISSN = {0166-2481},
Keywords = {Sampling; Pedometrics; DSM; Optimization; Design; space filling sampling;},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Techreport{BrusEtAl2007,
Title = {Towards a soil information system with quantified accuracy: three approaches for stochastic simulation of soil maps},
Address = {Wageningen},
Author = {Dick J Brus and Gerard B M Heuvelink},
Pages = {96},
Year = {2007},
Note = {WOt-rapport 58},
File = {BrusEtAl2007.pdf:BrusEtAl2007.pdf:PDF},
Institution = {Statutory Research Tasks Unit for Nature and the Environment},
Keywords = {Soil map, Uncertainty, Kriging, Geostatistics, Bayesian Maximum Entropy, Markov random field, redemds; indicator Kriging},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.30},
Url = {http://library.wur.nl/WebQuery/clc/1866662}
}
@Article{BrusEtAl2007a,
Title = {Optimization of sample patterns for universal kriging of environmental variables},
Author = {Dick J Brus and Gerard B M Heuvelink},
Journal = {Geoderma},
Pages = {86-95},
Volume = {138},
Year = {2007},
Doi = {10.1016/j.geoderma.2006.10.016},
File = {BrusEtAl2007a.pdf:Geoderma/BrusEtAl2007a.pdf:PDF},
Keywords = {Geostatistics; Multiple linear regression; Ordinary kriging; Sampling optimization; Simulated annealing; Design; Pedometrics; DSM; PhDpaper1;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{BrusEtAl2011,
Title = {Sampling for validation of digital soil maps},
Author = {Dick J. Brus and Bas Kempen and Gerard B. M. Heuvelink},
Journal = {European Journal of Soil Science},
Pages = {394-407},
Volume = {62},
Year = {2011},
Number = {3},
Doi = {10.1111/j.1365-2389.2011.01364.x},
File = {:European Journal of Soil Science/Brus et al_Eur J Soil Sci_2011.pdf:PDF},
Keywords = {redemds;Cluster Random Sampling; PhDpaper1;}
}
@Article{BrusEtAl1999,
Title = {A sampling scheme for estimating the mean extractable phosphorus concentration of fields for environmental regulation},
Author = {Brus, D J and Spätjens, L E E M and de Gruijter, J J},
Journal = {Geoderma},
Pages = {129-148},
Volume = {89},
Year = {1999},
Month = {Apr},
Number = {1-2},
Doi = {10.1016/s0016-7061(98)00123-2},
File = {BrusEtAl1999.pdf:BrusEtAl1999.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Sampling; Pedometrics; DSM; Optimization; Cost model; Design; DSM;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Book{BucciantiEtAl2006,
Title = {Compositional data analysis in the geosciences: from theory to practice},
Address = {London},
Author = {A. Buccianti and G. Mateu-Figueras and V. Pawlowsky-Glahn},
Pages = {213},
Publisher = {Geological Society of London},
Year = {2006},
Edition = {1},
File = {BucciantiEtAl2006.pdf:Book/BucciantiEtAl2006.pdf:PDF},
Owner = {Administrador},
Timestamp = {2011.08.19},
Url = {http://sp.lyellcollection.org/content/264/1}
}
@Article{BucciantiEtAl2006a,
Title = {About this title},
Author = {A. Buccianti and G. Mateu-Figueras and V. Pawlowsky-Glahn},
Journal = {Geological Society, London, Special Publications},
Pages = {np},
Volume = {264},
Year = {2006},
Number = {1},
Doi = {10.1144/GSL.SP.2006.264.01.16},
Eprint = {http://sp.lyellcollection.org/content/264/1/NP.full.pdf+html},
Url = {http://sp.lyellcollection.org/content/264/1/NP.abstract}
}
@Book{Buede2000,
Title = {The enginneering design of systems},
Address = {New York},
Author = {D Buede},
Publisher = {Wiley},
Year = {2000},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.05}
}
@Mastersthesis{Bueno2001,
Title = {Aplicação de técnicas multivariadas em mapeamento e interpretação de parâmetros do solo},
Author = {Benedito Freitas Bueno},
Pages = {99},
School = {Universidade Estadual de Campinas},
Year = {2001},
Keywords = {Análise multivariada, Geoestatística.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.08.2009},
Url = {http://www.bibliotecadigital.unicamp.br/zeus/auth.php?back=http://www.bibliotecadigital.unicamp.br/document/?code=vtls000228710&go=x&code=x&unit=x}
}
@Article{BuesoEtAl1999,
Title = {Optimal spatial sampling design in a multivariate framework},
Author = {Bueso, M. C. and Angulo, J. M. and Cruz-Sanjulián, J. and García-Aróstegui, J. L.},
Journal = {Mathematical Geology},
Pages = {507–525},
Volume = {31},
Year = {1999},
Number = {5},
Doi = {10.1023/a:1007511923053},
File = {BuesoEtAl1999.pdf:BuesoEtAl1999.pdf:PDF},
ISSN = {0882-8121},
Keywords = {Spatial; Sampling; Design; Optimization; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@InCollection{Bui2006,
Title = {A Review of Digital Soil Mapping in Australia},
Author = {E. Bui},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {2},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {25 - 37},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {DOI: 10.1016/S0166-2481(06)31002-1},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-8/2/41dd9ad0e60da7db043c97fee2d8d322}
}
@InCollection{BuiEtAl2006,
Title = {Adequate prior sampling is everything: lessons from the Ord River Basin, Australia},
Author = {E.N. Bui and D. Simon and N. Schoknecht and A. Payne},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {15},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {193 - 204, 608},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {DOI: 10.1016/S0166-2481(06)31015-X},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-T/2/b02f873e27b9fbbde422066cd0f7a8db}
}
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Journal = {Geoderma},
Pages = {17 - 26},
Volume = {120},
Year = {2004},
Number = {1?2},
Doi = {10.1016/j.geoderma.2003.07.006},
File = {Bui2004.pdf:Geoderma/Bui2004.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Soil maps},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706103002738}
}
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Number = {3},
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Owner = {alessandro},
Timestamp = {09.10.2013},
Url = {http://www.publish.csiro.au/paper/S98047}
}
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Owner = {alessandro},
Publisher = {Elsevier BV}
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Author = {Stanley Buol},
Year = {2012},
File = {Buol2012.pdf:Buol2012.pdf:PDF},
Keywords = {soil concept;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.29}
}
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Pages = {21-26},
Volume = {13},
Year = {2005},
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Owner = {Administrador},
Timestamp = {2010.12.30}
}
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Year = {1989},
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File = {Burman1989.pdf:Burman1989.pdf:PDF},
ISSN = {00063444},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Sep., 1989},
Keywords = {redemds},
Language = {English},
Publisher = {Biometrika Trust},
Url = {http://www.jstor.org/stable/2336116}
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Title = {The Display of Digital Soil Data, 1976-2004},
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Publisher = {Elsevier},
Year = {2006},
Chapter = {41},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {555 - 569, 633},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {DOI: 10.1016/S0166-2481(06)31041-0},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1X/2/74cdcefac4d3392815c96288ac84dcedcc}
}
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Volume = {22},
Year = {1971},
Number = {3},
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ISSN = {1365-2389},
Publisher = {Blackwell Publishing Ltd},
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Year = {1994},
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Pages = {115-135},
Volume = {77},
Year = {1997},
File = {BurroughEtAl1997.pdf:Geoderma/BurroughEtAl1997.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.09}
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Year = {1990},
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Owner = {Administrador},
Timestamp = {2010.12.31},
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Year = {1976},
Institution = {West Lafayette: Purdue University},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.07.2010}
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Owner = {Alessandro Samuel Rosa},
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@Book{Cacuci2003,
Title = {Sensitivity and uncertainty analysis - theory},
Address = {Boca Raton},
Author = {Dan G. Cacuci},
Publisher = {Chapman and Hall/CRC},
Year = {2003},
File = {Cacuci2003.pdf:Book/Cacuci2003.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
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Title = {Computational aspects of algorithms for variable selection in the context of principal components },
Author = {Jorge Cadima and J.Orestes Cerdeira and Manuel Minhoto},
Journal = {Computational Statistics \& Data Analysis },
Pages = {225 - 236},
Volume = {47},
Year = {2004},
Note = {<ce:title>Applications of Optimization Heuristics to Estimation and Modelling Problems</ce:title> },
Number = {2},
Doi = {http://dx.doi.org/10.1016/j.csda.2003.11.001},
File = {CadimaEtAl2004.pdf:CadimaEtAl2004.pdf:PDF},
ISSN = {0167-9473},
Keywords = {Combinatorial optimization; subselect},
Owner = {alessandro},
Timestamp = {11.07.2013},
Url = {http://www.sciencedirect.com/science/article/pii/S016794730300272X}
}
@Manual{CadimaEtAl2012,
Title = {The subselect R package},
Address = {Viena},
Author = {Jorge Cadima and Jorge Orestes Cerdeira and Pedro Duarte Silva and Manuel Minhoto},
Pages = {35},
Publisher = {R Project},
Year = {2012},
File = {CadimaEtAl2012.pdf:CadimaEtAl2012.pdf:PDF},
Keywords = {variable selection},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.06},
Url = {http://cran.r-project.org/web/packages/subselect/vignettes/subselect.pdf}
}
@Article{CaiEtAl2005,
Title = {Evaluation of the EUROSEM model with single event data on Steeplands in the Three Gorges Reservoir Areas, China},
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Pages = {19-33},
Volume = {59},
Year = {2005},
Doi = {doi:10.1016/j.catena.2004.05.008},
File = {CaiEtAl2005.pdf:Catena/CaiEtAl2005.pdf:PDF},
Keywords = {Steepland; Water erosion; Contour; Hedgerow; EUROSEM},
Owner = {Alessandro Samuel Rosa},
Timestamp = {27.07.2010}
}
@Phdthesis{Calenge2002,
Title = {Des outils statistiques pour l'analyse des semis de points dans l'espace écologique},
Author = {Clément Calange},
Pages = {166},
School = {Université Claude Bernard Lyon},
Year = {2002},
File = {Calenge2002.pdf:Calenge2002.pdf:PDF},
Keywords = {ENFA; ecological niche; point pattern analysis;},
Owner = {alessandro},
Timestamp = {04.12.2013}
}
@Manual{Calcagno2012,
Title = {glmulti: model selection and multimodel inference made easy},
Author = {Vincent Calcagno},
Year = {2012},
File = {Calcagno2012.pdf:Calcagno2012.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.22},
Url = {http://cran.r-project.org/web/packages/glmulti/}
}
@Article{CalcagnoEtAl2010,
Title = {glmulti: an R package for easy automated model selection with (generalized) linear models},
Author = {Vincent Calcagno and Claire de Mazancourt},
Journal = {Journal of Statistical Software},
Pages = {1-29},
Volume = {34},
Year = {2010},
Number = {12},
File = {CalcagnoEtAl2010.pdf:CalcagnoEtAl2010.pdf:PDF},
Owner = {alessandro},
Timestamp = {11.07.2013},
Url = {http://www.jstatsoft.org/v34/i12/paper}
}
@Article{CalderanoEtAl2014,
Title = {Artificial neural networks applied for soil class prediction in mountainous landscape of the {S}erra do {M}ar},
Author = {Calderano Filho, Braz and Polivanov, Helena and Chagas, César da Silva and Carvalho Júnior, Waldir and Barroso, Emílio Velloso and Guerra, Antônio José Teixeira and Calderano, Sebastião Barreiros},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1681-1693},
Volume = {38},
Year = {2014},
Number = {6},
Doi = {10.1590/s0100-06832014000600003},
File = {CalderanoEtAl2014.pdf:CalderanoEtAl2014.pdf:PDF},
ISSN = {0100-0683},
Owner = {alessandro},
Publisher = {FapUNIFESP (SciELO)}
}
@Article{Calenge2007,
Title = {Exploring Habitat Selection by Wildlife with adehabitat},
Author = {Clément Calenge},
Journal = {Journal of Statistical Software},
Pages = {1--19},
Volume = {22},
Year = {2007},
Month = {9},
Number = {6},
Accepted = {2007-07-05},
Bibdate = {2007-07-05},
Coden = {JSSOBK},
Day = {30},
File = {Calenge2007.pdf:Calenge2007.pdf:PDF},
ISSN = {1548-7660},
Submitted = {2007-01-18},
Url = {http://www.jstatsoft.org/v22/i06}
}
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Title = {Implementation of a new environmental impact assessment for municipal waste landfills as tool for planning and decision-making process},
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Journal = {Renewable and Sustainable Energy Reviews},
Pages = {1-19},
Volume = {11},
Year = {2005},
Keywords = {Environmental impact; Landfill; Solid urban waste; Environmental diagnosis},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S1364032105000110}
}
@Article{CalvoEtAl2005a,
Title = {Environmental diagnosis methodology for municipal waste landfills},
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Pages = {768?779},
Volume = {25},
Year = {2005},
Doi = {10.1016/j.wasman.2005.02.019},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Manual{CamaraEtAl1998,
Title = {Geoprocessamento para Projetos Ambientais},
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Pages = {195},
Year = {1998},
Month = {4},
Note = {3},
Organization = {Instituto Nacional de Pesquisas Espaciais},
Keywords = {Geoestatística},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Mastersthesis{Camargo1997,
Title = {Desenvolvimento, implementação e teste de procedimentos geoestatísticos (krigeagem) no sistema de processamento de informações georreferenciadas (SPRING)},
Address = {São José dos Campos},
Author = {Eduardo C.G. Camargo},
Pages = {146},
School = {Instituto Nacional de Pesquisas Espaciais},
Year = {1997},
File = {:dissertação/Camargo_Dissertação_1997.pdf:PDF},
Keywords = {redemds},
Owner = {pccli},
Timestamp = {2012.02.10},
Url = {http://mtc-m12.sid.inpe.br/col/sid.inpe.br/iris%401912/2005/07.20.08.47.41/doc/publicacao.pdf}
}
@Inproceedings{CamargoEtAl2001,
Title = {A importância da modelagem da anisotropia na distribuição espacial de variáveis ambientais utilizando procedimentos geoestatísticos},
Author = {Eduardo C.G. Camargo and Carlos Alberto Felgueiras and Antonio M.V. Monteiro},
Booktitle = {Anais X SBSR, Foz do Iguaçu, 21-26 abril 2001, INPE, p. 395-402, Sessão Técnica Oral},
Pages = {395-402},
Publisher = {j},
Year = {2001},
Volume = {xx},
Chapter = {1},
File = {CamargoEtAl2001.pdf:Anais/CamargoEtAl2001.pdf:PDF},
Journal = {Instituto Nacional de Pesquisas Espaciais},
Keywords = {Isotropy, Anisotropy, Semivariogram, Ordinary Kriging.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{CamargoEtAl2011,
Title = {Graduate School in Soil Science , Universidade Federal do Rio Grande do Sul},
Author = {Flávio A.O. Camargo and Inda-Junior, A.V.},
Journal = {Boletim Informativo da SBCS},
Pages = {57-60},
Volume = {36},
Year = {2011},
Owner = {pccli},
Timestamp = {2011.12.28}
}
@Article{CamargoEtAl2010,
Title = {Brazilian soil science: from its inception to the future, and beyond},
Author = {F.A.O. Camargo and V.H. Alvarez and P.C. Baveye},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {589-599},
Volume = {34},
Year = {2010},
Doi = {10.1590/S0100-06832010000300001},
File = {:Revista Brasileira de Ciência do Solo/Camargo et al_RBCS_2010.pdf:PDF},
Keywords = {edaphology, pedology, Brazilian Soil Science Society, retrospective and perspective},
Owner = {Administrador},
Timestamp = {2011.01.11}
}
@Article{Camargo1999,
Title = {On the concept of pedodiversity and its measurement},
Author = {Julio A. Camargo},
Journal = {Geoderma},
Pages = {338-338},
Volume = {93},
Year = {1999},
Doi = {10.1016/S0016-7061(99)00065-8},
File = {:Geoderma/Camargo_Geoderma_1999.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@InCollection{CamargoEtAl1982,
Title = {Proposição preliminar de conceituação e distinção de Podzólico Vermelho-Escuro},
Author = {Camargo, M N and Jacomine, P K T and Olmos, J and Carvalho, A P},
Booktitle = {Conceituação sumária de algumas classes de solos recém-reconhecidas nos levantamentos e estudos de correlação do SNLCS},
Publisher = {Serviço Nacional de Levantamento e Conservação do Solo},
Year = {1982},
Address = {Rio de Janeiro},
Note = {(circular tecnica 1)},
Pages = {7-12},
Owner = {alessandro},
Timestamp = {12.02.2014}
}
@Book{CamargoEtAl2009,
Title = {Métodos de análise química, mineralógica e física de solos do Instituto Agronômico de Campinas},
Author = {Camargo, O. A. And Moniz, A. C. And Jorge, J. A. And Valadares, J. M. A. S.},
Pages = {77},
Publisher = {Campinas, Brasil: Instituto Agronômico de Campinas (Boletim técnico, 106)},
Year = {2009},
File = {CamargoEtAl2009.pdf:CamargoEtAl2009.pdf:PDF},
Keywords = {comparação de métodos},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.26}
}
@Article{CamargoEtAl1982a,
Title = {Avaliação da capacidade de troca de cátions em solos utilizando o método do tampão SMP},
Author = {Otávio Antonio Camargo and van Raij, Bernardo and Valadares, José Maria Aires Silva},
Journal = {Bragantia},
Pages = {119-123},
Volume = {41},
Year = {1982},
Number = {1},
Doi = {http://dx.doi.org/10.1590/S0006-87051982000100012}
}
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Title = {Participate soil organic-matter changes across a grassland cultivation sequence},
Author = {C. A. Cambardella and E. T. Elliott},
Journal = {Soil Science Society of America Journal},
Pages = {777-783},
Volume = {56},
Year = {1992},
File = {CambardellaEtAl1992.pdf:CambardellaEtAl1992.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.21}
}
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Title = {A methodology for digital soil mapping in poorly-accessible areas},
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Journal = {Geoderma},
Pages = {341-353},
Volume = {192},
Year = {2013},
Number = {0},
Doi = {10.1016/j.geoderma.2012.08.020},
File = {CambuleEtAl2013.pdf:CambuleEtAl2013.pdf:PDF},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics; Latin; Hypercube; Access;}
}
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Title = {Is soil an appropriate dumping ground for our wastes?},
Author = {K. C. Cameron and H. J. Di and R. G. McLaren},
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Pages = {995-1035},
Volume = {35},
Year = {1997},
Doi = {10.1071/S96099},
File = {CameronEtAl1997.pdf:Australian Journal of Soil Research/CameronEtAl1997.pdf:PDF},
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Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Phdthesis{Campos2006,
Title = {Dinâmica do carbono em Latossolo Vermelho sob sistemas de preparo de solo e de culturas},
Author = {Ben-Hur Costa Campos},
Pages = {188},
School = {Federal University of Santa Maria},
Year = {2006},
Keywords = {ciência do solo, preparo do solo, rotação de culturas, carbono orgânico, nitrogênio total.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{CamposEtAl2003,
Title = {Avaliação de três áreas de solo construído após mineração de carvão a céu aberto em Lauro Müller, Santa Catarina},
Author = {M.L. Campos and J.A. Almeida and L.S. Souza},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1123-1137},
Volume = {27},
Year = {2003},
Keywords = {oxidação da pirita, variabilidade espacial, solos construídos.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{CamposEtAl2006,
Title = {Modelos de paisagem e sua utilização em levantamentos pedológicos},
Author = {Milton César Costa Campos and Nilceu Piffer Cardozo and José Marques.Júnior},
Journal = {Revista de Biologia e Ciências da Terra},
Pages = {104-114},
Volume = {6},
Year = {2006},
Keywords = {formas do relevo, levantamento do solo, atributos do solo},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://eduep.uepb.edu.br/rbct/sumarios/pdf/paisagem.pdf}
}
@Article{CancesEtAl2003,
Title = {Metal ions speciation in a soil and its solution: experimental data and model results},
Author = {B. Cancès and M. Ponthieu and M. Castrec-Rouelle and E. Aubry and M.F. Benedetti},
Journal = {Geoderma},
Pages = {341-355},
Volume = {113},
Year = {2003},
Doi = {10.1016/S0016-7061(02)00369-5},
File = {:Geoderma/Cancès et al_Geoderma_2003.pdf:PDF},
Keywords = {DOM; Lead; Modeling; SOM; Soil solution; Speciation; Zinc},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{CanellasEtAl2007,
Title = {Estoque e qualidade da matéria orgânica de um solo cultivado com cana-de-açúcar por longo tempo},
Author = {Luciano Pasqualotto Canellas and Marihus Altoé Baldotto and Jader Galba Busato and Claúdio Roberto Marciano and Sonia Cabral Menezes and Naira Machado Da Silva and Victor Marcos Rumjanek and Ary Carlos Xavier Velloso and Marcelo Luiz Simões and Ladislau Martin-Neto},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {331-340},
Volume = {31},
Year = {2007},
Keywords = {ácidos húmicos, ácidos fúlvicos, huminas, estoque de C, solo tropical},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{CanellasEtAl2004,
Title = {Organic matter quality in a soil cultivated with perennial herbaceous legumes},
Author = {Luciano Pasqualoto Canellas and José Antonio Azevedo Espindola and Carlos Eduardo Rezende and Plínio Barbosa De Camargo and Daniel Basílio Zandonadi and Victor Marcos Rumjanek and José Guilherme Marinho Guerra and Marcelo Grandi Teixeira and Raimundo Braz-Filho},
Journal = {Scientia Agricola},
Pages = {53-61},
Volume = {61},
Year = {2004},
Keywords = {FTIR, fluorescence, humic acids, humic substances, 13 C},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Cantlon1953,
Title = {Vegetation and microclimate on North and South slopes of Cushetunk mountain, New Jersey},
Author = {John E Cantlon},
Journal = {Ecological Monographs},
Pages = {241-270},
Volume = {23},
Year = {1953},
File = {:Ecological Monographs/Cantlon_Ecol Monogr_1953.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.jstor.org/stable/1943593}
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@Article{Capelo-NetoEtAl2005,
Title = {Simulação e avaliação do desempenho hidrológico da drenagem horizontal de percolado em aterro sanitário},
Author = {José Capelo-Neto and Marco Aurélio Holanda Castro},
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Pages = {229-235},
Volume = {10},
Year = {2005},
File = {:Engenharia Sanitária e Ambiental/Capelo Neto & Castro_Eng Sanit Ambient_2005.pdf:PDF},
Keywords = {Simulação hidrológica, aterro sanitário de Caucaia (Ceará), percolado, resíduo sólido.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.abes-dn.org.br/publicacoes/engenharia/resaonline/v10n03/v10n03a06.pdf}
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@Electronic{CAPES2014,
Title = {Tabela de áreas de conhecimento/avaliação},
Author = {CAPES},
Language = {Portuguese},
Month = {Abril},
Url = {http://www.capes.gov.br/avaliacao/instrumentos-de-apoio/tabela-de-areas-do-conhecimento-avaliacao},
Year = {2014},
Journal = {Disponível em: <http://www.capes.gov.br/avaliacao/tabela-de-areas-de-conhecimento>. Acesso em: 26 dez. 2011},
Owner = {pccli},
Timestamp = {2011.12.26}
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@Article{CargneluttiEtAl2004,
Title = {Ajustes de funções de distribuição de probabilidade à radiação solar global no Estado do Rio Grande do Sul},
Author = {Cargnelutti Filho, Alberto and Ronaldo Matzenauer and Júlio Kuhn da Trindade},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {1157-1166},
Volume = {39},
Year = {2004},
Keywords = {modelagem, redução de riscos.},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Carlesso1995,
Title = {Absorção de água pelas plantas: água disponível versus extraível e a produtividade das culturas},
Author = {Reimar Carlesso},
Journal = {Ciência Rural},
Pages = {183-188},
Volume = {25},
Year = {1995},
Doi = {10.1590/S0103-84781995000100035},
File = {:Ciência Rural/Carlesso_Cienc Rural_1995.pdf:PDF},
Keywords = {água disponível, água extraível, raízes.},
Owner = {Administrador},
Timestamp = {2010.12.29}
}
@Manual{Carlisle2005,
Title = {Packages in the ‘graphics’ bundle},
Author = {D. P. Carlisle},
Publisher = {The LATEX3 Project},
Year = {2005},
Month = {11},
File = {Carlisle2005.pdf:Carlisle2005.pdf:PDF},
Keywords = {graphicx},
Owner = {alessandro},
Timestamp = {15.11.2013},
Url = {http://repositorios.cpai.unb.br/ctan/macros/latex/required/graphics/grfguide.pdf}
}
@Book{CarlisleEtAl1998,
Title = {The mechanics of soil survey},
Address = {Lincoln},
Author = {Carlisle, S.C. and H. R. Mount and J. H. Brown},
Pages = {38},
Publisher = {USDA-NRCS},
Year = {1998},
File = {CarlisleEtAl1998.pdf:CarlisleEtAl1998.pdf:PDF},
Url = {https://groups.google.com/forum/#!topic/soil-mapping/169QClp5Zog}
}
@Article{CarmerEtAl1985,
Title = {Pairwise multiple comparisons of treatment means in agronomic research},
Author = {Samuel G. Carmer and William M. Walker},
Journal = {Journal of Agronomic Education},
Pages = {19-26},
Volume = {14},
Year = {1985},
File = {CarmerEtAl1985.pdf:CarmerEtAl1985.pdf:PDF},
Keywords = {Duncan?s multiple range test, Least significant difference, Statistical analysis, Waller-Duncan k-ratio t test},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.15},
Url = {https://www.agronomy.org/files/publications/jnrlse/pdfs/jnr014/014-01-0019.pdf}
}
@Electronic{Carneiro2012,
Title = {'Vamos precisar de cinco planetas Terra', diz Sha Zukang},
Author = {Lucianne Carneiro},
Url = {http://br.noticias.yahoo.com/vamos-precisar-cinco-planetas-terra-diz-sha-zukang-013933190.html},
Year = {2012},
File = {Carneiro2012.pdf:miscelaneous/Carneiro2012.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Publisher = {Agência O Globo (Acesso em 5 de março de 2012. Disponível em: http://br.noticias.yahoo.com/vamos-precisar-cinco-planetas-terra-diz-sha-zukang-013933190.html)},
Timestamp = {2012.03.08}
}
@Article{CarreEtAl2002,
Title = {Quantitative mapping of soil types based on regression kriging of taxonomic distances with landform and land cover attributes},
Author = {Florence Carré and M.C. Girard},
Journal = {Geoderma},
Pages = {241-263},
Volume = {110},
Year = {2002},
Doi = {10.1016/S0016-7061(02)00233-1},
File = {:Geoderma/Carré & Girard_Geoderma_2002.pdf:PDF},
Keywords = {Soil mapping; Database; Soil landscape rules; Regression kriging; Uncertainties; Pedometrics},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@InCollection{CarreEtAl2010,
Title = {Mapping the CN Ratio of the Forest Litters in Europe-Lessons for Global Digital Soil Mapping},
Author = {Carré, F. and Jeannée, N. and Casalegno, S. and Lemarchand, O. and Reuter, H.I. and Montanarella, L.},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {217-226},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_18},
File = {CarreEtAl2010.pdf:CarreEtAl2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {CN ratio; Kriging; Neural network},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_18}
}
@Article{CarreEtAl2007,
Title = {Digital soil assessments: beyond DSM},
Author = {F. Carré and Alex B. McBratney and Thomas Mayr and Luca Montanarella},
Journal = {Geoderma},
Pages = {69-79},
Volume = {142},
Year = {2007},
Number = {1-2},
Doi = {10.1016/j.geoderma.2007.08.015},
File = {:Geoderma/Carré et al_Geoderma_2007.pdf:PDF},
Keywords = {Digital soil mapping; globalsoilmap; redemds}
}
@Article{CarreEtAl2007a,
Title = {Estimation and potential improvement of the quality of legacy soil samples for digital soil mapping},
Author = {Carré, F. and McBratney, Alex B. and Minasny, B.},
Journal = {Geoderma},
Pages = {1-14},
Volume = {141},
Year = {2007},
Month = {Sep},
Number = {1-2},
Doi = {10.1016/j.geoderma.2007.01.018},
File = {CarreEtAl2007a.pdf:CarreEtAl2007a.pdf:PDF},
ISSN = {0016-7061},
Keywords = {sampling bias; free survey; purposive sampling; traditional soil survey;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Manual{Carrillo2012,
Title = {vec2dtransf: 2{D} cartesian coordinate transformation},
Author = {German Carrillo},
Year = {2012},
Note = {{R} package version 1.0},
Url = {http://CRAN.R-project.org/package=vec2dtransf}
}
@Book{CarrollEtAl1997,
Title = {Mathematical tools for applied multivariate analysis},
Author = {J. Douglas Carroll and Paul E. Green and Anil Chaturvedi},
Pages = {376},
Publisher = {Academic Press},
Year = {1997},
Edition = {1},
File = {CarrollEtAl1997.pdf:Book/CarrollEtAl1997.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {26.07.2010}
}
@Article{CarterEtAl1991,
Title = {Slope gradient and aspect effects on soils developed from sandstone in Pennsylvania},
Author = {Carter, B J and Ciolkosz, E J},
Journal = {Geoderma},
Pages = {199-213},
Volume = {49},
Year = {1991},
Keywords = {Aspect; Northerness;},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
@Article{Carter2002,
Title = {Soil quality for sustainable land management: organic matter and aggregation interactions that maintain soil functions},
Author = {Martin R. Carter},
Journal = {Agronomy Journal},
Pages = {38-47},
Volume = {94},
Year = {2002},
File = {Carter2002.pdf:Agronomy Journal/Carter2002.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.28},
Url = {http://www.envismadrasuniv.org/pdf/Soil%20Quality%20for%20Sustainable%20Land%20Management.pdf}
}
@Article{CarvalhoEtAl2011a,
Title = {Manganese oxides an iron ore province soils, Minas Gerais, Brazil},
Author = {Amaury de Carvalho Filho and Nilton Curi and João José Granate de Sá e Melo Marques and Edgard Shinzato and Diego Antonio França de Freitas and Elen Alvarenga de Jesus and Regla Toujaguez La Rosa Massahud},
Journal = {Revista Brasileira de Ciência do Solo},
Volume = {35},
Year = {2011},
Doi = {http://dx.doi.org/10.1590/S0100-06832011000300015},
File = {CarvalhoEtAl2011a.pdf:CarvalhoEtAl2011a.pdf:PDF},
Owner = {alessandro},
Timestamp = {20.01.2014}
}
@Article{CARVALHOEtAl2011,
Title = {Digital soilscape mapping of tropical hillslope areas by neural networks},
Author = {Carvalho Júnior, Waldir and Chagas, César Silva and Fernandes Filho, Elpídio Inácio and Carlos Antônio Oliveira Vieira and Carlos Ernesto Gonçalves Schaefer and Silvio Barge Bhering and Marcio Rocha Francelino},
Journal = {Scientia Agricola},
Pages = {691-696},
Volume = {68},
Year = {2011},
Number = {6},
Doi = {10.1590/S0103-90162011000600014},
File = {CarvalhoEtAl2011.pdf:CarvalhoEtAl2011.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.29}
}
@Article{CarvalhoJuniorEtAl2014,
Title = {Conditioned {L}atin hypercube method for soil sampling in the presence of environmental covariates for digital soil mapping},
Author = {Carvalho Júnior, Waldir and Chagas, César Silva and Muselli, Alexandre and Pinheiro, Helena Saraiva Koenow and Pereira, Nilson Rendeiro and Bhering, Silvio Barge},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {386-396},
Volume = {38},
Year = {2014},
Number = {2},
Doi = {10.1590/s0100-06832014000200003},
File = {CarvalhoJuniorEtAl2014.pdf:CarvalhoJuniorEtAl2014.pdf:PDF},
ISSN = {0100-0683},
Owner = {alessandro},
Publisher = {FapUNIFESP (SciELO)}
}
@Article{CarvalhoEtAl2008,
Title = {Multivariate analysis of Argisols of the Brazilian Atlantic coast},
Author = {Carvalho Júnior, Waldir and Carlos Ernesto G.R. Schaefer and César Silva Chagas and Fernandes Filho, Elpídio Inácio},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {2081-2090},
Volume = {32},
Year = {2008},
File = {:Revista Brasileira de Ciência do Solo/Carvalho Jr et al_RBCS_2008.pdf:PDF},
Keywords = {domínios geomorfológicos, componentes principais, análise discriminante, B textural},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2010},
Url = {http://www.scielo.br/pdf/rbcs/v32n5/29.pdf}
}
@InCollection{Carvalho1982,
Title = {Conceituação de terra Bruna Estruturada},
Author = {Carvalho, A P},
Booktitle = {Conceituação sumária de algumas classes de solos recém-reconhecidas nos levantamentos e estudos de correlação do SNLCS},
Publisher = {Serviço Nacional de Levantamento e Conservação do Solo},
Year = {1982},
Address = {Rio de Janeiro},
Note = {(circular tecnica 1)},
Pages = {21-24},
Owner = {alessandro},
Timestamp = {12.02.2014}
}
@Article{LuisEtAl2009,
Title = {Conversion of Cerrado into agricultural land in the South-Western Amazon: carbon stocks and soil fertility},
Author = {João Luís Nunes Carvalho and Carlos Eduardo Pelegrino Cerri and Brigitte Josefine Feigl and Marisa Cássia Píccolo and Vicente Paula Godinho and Uwe Herpin and Carlos Clemente Cerri},
Journal = {Scientia Agricola},
Pages = {233-241},
Volume = {66},
Year = {2009},
Keywords = {Oxisol, no-tillage, conventional tillage, nutrient stock},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009},
Url = {http://www.scielo.br/pdf/sa/v66n2/13.pdf}
}
@Mastersthesis{Casagrande2004,
Title = {Avaliação do parametro de propagação de sedimentos do modelo de Williams (1975) na bacia do rio Vacacaí-Mirim com o auxílio de técnicas de geoprocessamento},
Address = {Santa Maria},
Author = {Leandro Casagrande},
Pages = {226},
School = {Programa de Pós-Graduação em Engenharia Civil, Federal University of Santa Maria},
Year = {2004},
Keywords = {DNOS; Azolin; Mutti;},
Owner = {lgcs-mds},
Timestamp = {2013.05.08},
Url = {http://w3.ufsm.br/enquadra/Trabalhos/DissAnteriores/CASAGRANDE.pdf}
}
@Inproceedings{CasaliEtAl2006,
Title = {Calibração da estimativa da acidez potencial em solos},
Author = {Carlos Alberto Casali and João Kaminski and Danilo Santos Rheinheimer and Gustavo Brunetto and Ângela Valéria Casali and Tales Tiecher and Jaderson Anjos Toledo},
Booktitle = {FertBio2006},
Year = {2006},
File = {CasaliEtAl2006.pdf:CasaliEtAl2006.pdf:PDF},
Url = {http://w3.ufsm.br/ppgcs/congressos/FertBio_2006/0666.pdf}
}
@Electronic{Casseti2005,
Title = {Geomorfologia},
Address = {Disponível em: <http://www.funape.org.br/geomorfologia/>. Acesso em 26 Jul. 2012.},
Author = {Casseti, Valter},
Url = {http://www.funape.org.br/geomorfologia/},
Year = {2005},
File = {Casseti2005.pdf:Casseti2005.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.26}
}
@Article{CassolEtAl2002,
Title = {Perdas de nutrientes por erosão em diferentes métodos de melhoramento de pastagem nativa no Rio Grande do Sul},
Author = {E. A. Cassol and R. Levien and I. Anghinoni and M. P. Badelucci},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {705-712},
Volume = {26},
Year = {2002},
Keywords = {preparo de solo, forragens de inverno, enxurrada, adubação e calagem},
Owner = {pccli},
Timestamp = {2011.07.12},
Url = {http://sbcs.solos.ufv.br/solos/revistas/v26n3a15.pdf}
}
@Book{Castilhos.JrEtAl2006,
Title = {Gerenciamento de resíduos sólidos urbanos com ênfase na proteção de corpos d'água: prevenção, geração e tratamento de lixiviados de aterros sanitários},
Author = {Castilhos.Jr, A. B. and Fernandes, F. and Ferreira, J. A. and Juca, J. F. T. and Lange, L. C. and Gomes, L. P. and Pessin, N. and Santos.Neto, P. M. and Zanta, V. M.},
Pages = {494},
Publisher = {Petrópolis - RJ: SERMOGRAF Artes Gráficas e Editora Ltda},
Year = {2006},
Edition = {1},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Book{Castilhos.JrEtAl2003,
Title = {Resíduos sólidos urbanos: aterro sustentável para municípios de pequeno porte.},
Author = {Castilhos.Jr, A. B. and Lange, L. C. and Gomes, L. P. and Pessin, N.},
Pages = {275},
Publisher = {ABES},
Year = {2003},
Edition = {1},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Article{Castrignan`oEtAl2009,
Title = {Accounting for extensive topographic and pedologic secondary information to improve soil mapping},
Author = {Annamaria Castrignanò and Edoardo A.C. Costantini and Roberto Barbetti and Donato Sollitto},
Journal = {Catena},
Pages = {28-38},
Volume = {77},
Year = {2009},
Number = {1},
Doi = {10.1016/j.catena.2008.12.004},
File = {CastrignanoEtAl2009.pdf:Catena/CastrignanoEtAl2009.pdf:PDF},
Keywords = {Soil mapping, Pedology, Topography, Auxiliary information, Gaussian anamorphosis, Multicollocated cokriging; redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Phdthesis{tenCaten2011,
Title = {Digital soil mapping: methods to meet the demand for soil spatial information},
Author = {ten Caten, Alexandre},
Pages = {108},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2011},
Address = {Santa Maria},
Booktitle = {Tese (Doutorado em Ciência do Solo)},
File = {:phdthesis/ten Caten_Tese_2011.pdf:PDF},
Keywords = {redemds; ndvi; standard deviation;},
Owner = {pccli},
Timestamp = {2011.12.13},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Mastersthesis{tenCaten2008,
Title = {Application of principal components and multiple logistic regression in a geographical information system for prediction and digital soil mapping},
Address = {Santa Maria},
Author = {ten Caten, Alexandre},
Pages = {130},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2008},
File = {tenCaten2008.pdf:dissertação/tenCaten2008.pdf:PDF},
Keywords = {pedometria, mapeamento preditivo, análise estatística multivariada, modelos logísticos politómicos, índice de umidade topográfica, redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Article{TenCatenEtAl2012a,
Title = {Digital soil mapping: characteristics of the {B}razilian approach},
Author = {ten Caten, Alexandre and Dalmolin, Ricardo Simão Diniz and Mendon\c{c}a-Santos, Maria de Lourdes and Giasson, Elvio},
Journal = {Cienc. Rural},
Pages = {1989–1997},
Volume = {42},
Year = {2012},
Number = {11},
Doi = {10.1590/s0103-84782012001100013},
File = {TenCatenEtAl2012a.pdf:TenCatenEtAl2012a.pdf:PDF},
ISSN = {0103-8478},
Owner = {alessandro}
}
@Article{TenCatenEtAl2012,
Title = {Spatial resolution of a digital elevation model defined by the wavelet function},
Author = {ten Caten, Alexandre and Ricardo Simão Diniz Dalmolin and Fabrício Araújo Pedron and Maria Lourdes Mendon\c{c}a-Santos},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {449-457},
Volume = {47},
Year = {2012},
Number = {3},
Doi = {10.1590/S0100-204X2012000300018},
File = {TenCatenEtAl2012.pdf:TenCatenEtAl2012.pdf:PDF},
Keywords = { digital soil mapping, Morlet mother wavelet, scale, pedometry},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.06}
}
@Article{tenCatenEtAl2011,
Title = {Multiple Logistic Regressions: controlling factors in applications to soil class prediction},
Author = {ten Caten, Alexandre and Ricardo S. D. Dalmolin and Fabrício Araújo Pedron and Maria Lourdes Mendon\c{c}a-Santos},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {53-62},
Volume = {35},
Year = {2011},
Month = {02},
Doi = {10.1590/S0100-06832011000100005},
File = {:Revista Brasileira de Ciência do Solo/tenCaten et al_RBCS_2011a.pdf:PDF},
Keywords = {redemds}
}
@Article{tenCatenEtAl2011a,
Title = {Principal components as predictor variables in digital mapping of soil classes},
Author = {ten Caten, Alexandre and Ricardo S. D. Dalmolin and Fabrício Araújo Pedron and Maria Lourdes Mendon\c{c}a-Santos},
Journal = {Ciência Rural},
Pages = {1170-1176},
Volume = {41},
Year = {2011},
Doi = {10.1590/S0103-84782011000700011},
File = {:Ciência Rural/ten Caten et al_Cienc Rural_2011.pdf:PDF},
Keywords = {principal component regression, redemds}
}
@Article{tenCatenEtAl2011b,
Title = {Extrapolation of soil-landscape relationship from a reference area},
Author = {ten Caten, Alexandre and Dalmolin, Ricardo Simão Diniz and Pedron, Fabrício de Araújo and Mendon\c{c}a-Santos, Maria de Lourdes},
Journal = {Ciência Rural},
Pages = {812-816},
Volume = {42},
Year = {2011},
Doi = {10.1590/S0103-84782011000500012},
File = {tenCatenEtAl2011b.pdf:tenCatenEtAl2011b.pdf:PDF},
Owner = {alessandro},
Timestamp = {09.10.2013}
}
@Article{TenCatenEtAl2012b,
Title = {Disintensification of land use and its relation with soil erosion},
Author = {ten Caten, Alexandre and Minella, Jean P. G. and Madruga, Pedro R. A.},
Journal = {Revista Brasileira de Engenharia Agrícola e Ambiental},
Pages = {1006-1014},
Volume = {16},
Year = {2012},
Number = {9},
Doi = {10.1590/S1415-43662012000900012},
File = {TenCatenEtAl2012b.pdf:TenCatenEtAl2012b.pdf:PDF},
Keywords = {dnos},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.31}
}
@Article{CavalcanteEtAl2007,
Title = {Variabilidade espacial de MO, P, K e CTC do solo sob diferentes usos e manejos},
Author = {Eloiza Gomes Silva Cavalcante and Marlene Cristina Alves and Gener Tadeu Pereira and Zigomar Menezes Souza},
Journal = {Ciência Rural},
Pages = {394-400},
Volume = {37},
Year = {2007},
File = {:Ciência Rural/Cavalcante et al_Cienc Rural_2007.pdf:PDF},
Keywords = {atributos químicos do solo, preparo do solo, geoestatística, latossolo.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{CavazziEtAl2013,
Title = {Are fine resolution digital elevation models always the best choice in digital soil mapping? },
Author = {Stefano Cavazzi and Ron Corstanje and Thomas Mayr and Jacqueline Hannam and Reamonn Fealy},
Journal = {Geoderma },
Pages = {111-121},
Volume = {195-196},
Year = {2013},
Number = {0},
Doi = {10.1016/j.geoderma.2012.11.020},
File = {CavazziEtAl2013.pdf:CavazziEtAl2013.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Resolution; DEM; Random Forest; Artificial Neural Network; ANN; soil class; lab-based DSM; window size; pixel size; Accuracy; Update; Pedometrics; PhDpaper1; Aggregation;},
Owner = {alessandro},
Review = {SCALE AS OUR WINDOW OF PERCEPTION. Levin1992 stated that the “scale represents the window of perception, the filter or the measuring tool through which a landscape may be viewed or perceived”. As such, scale related concepts (see DunganEtAl2002) apply to the technology that we use to produce observations of the landscape features and of the processes that created those features. Landscape features and processes do not have a "scale" or "resolution" per se. When we say that a landscape feature or a process have a "scale" we simply are defining our "window of perception". This means that whatever we mean by landscape feature or process is directly dependent of our "window of perception". THE OPTIMUM SCALE. The "optimum scale" or "optimum resolution" has always been defined based on maximizing the correlation between the environmental covariate and the soil property being mapped. Since the soil property data is available at a very limited number of locations, the "optimum" is a "conditional optimum". It does not necessarily is the "optimum scale" or "optimum resolution" to provide an explanation of a pedogenetic process. Besides, finding the "optimum resolution" does not mean that the most accurate predictions will be made, but only that there is a resolution at with the correlation between the environmental covariate and the soil property data is maximum. Several studies (see the many studies of Thorsten Behrens) have shown that the best performing models are those build using "multiple-scale" covariates. COVARIATES AS PROXIES OF THE DRIVERS OF PEDOGENETIC PROCESSES. Environmental covariates seem to be much more correlated with system conditions or state factors or state conditions - the "drivers" of the pedogenetic processes, than to the pedogenetic processes themselves. Environmental covariates are proxies of the state factors. They are approximate models of the spatial patterns of land surface features. As such, they are simple indicators of the potential of a given process to take or to have taken place. They do not "reflect geomorphic, climatic and hydrologic processes" as suggested by McKenzieEtAl1999.},
Timestamp = {20.02.2014}
}
@Article{CeddiaEtAl2015,
Title = {Spatial variability of soil carbon stock in the Urucu river basin, {C}entral {A}mazon-{B}razil},
Author = {Ceddia, Marcos Bacis and Villela, André Luis Oliveira and Pinheiro, Érika Flávia Machado and Wendroth, Ole},
Journal = {Science of The Total Environment},
Pages = {58-69},
Volume = {526},
Year = {2015},
Month = {Sep},
Doi = {10.1016/j.scitotenv.2015.03.121},
ISSN = {0048-9697},
Owner = {alessandro},
Publisher = {Elsevier BV},
Timestamp = {27.04.2015}
}
@Article{CentnerEtAl1996,
Title = {Elimination of uninformative variables for multivariate calibration},
Author = {Centner, Vítézslav and Massart, Désiré-Luc and de Noord, Onno E. and de Jong, Sijmen and Vandeginste, Bernard M. and Sterna, Cécile},
Journal = {Analytical Chemistry},
Pages = {3851-3858},
Volume = {68},
Year = {1996},
Number = {21},
Doi = {10.1021/ac960321m},
Eprint = {http://pubs.acs.org/doi/pdf/10.1021/ac960321m},
File = {CentnerEtAl1996.pdf:CentnerEtAl1996.pdf:PDF},
Keywords = {redemds},
Url = {http://pubs.acs.org/doi/abs/10.1021/ac960321m}
}
@Manual{CerdeiraEtAl2012,
Title = {subselect: selecting variable subsets},
Author = {Jorge Orestes Cerdeira and Pedro Duarte Silva and Jorge Cadima and Manuel Minhoto},
Year = {2012},
File = {CerdeiraEtAl2012.pdf:CerdeiraEtAl2012.pdf:PDF},
Keywords = {variable selection},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.22},
Url = {http://cran.r-project.org/web/packages/subselect/}
}
@Phdthesis{Chagas2006,
Title = {Mapeamento digital do solo por correlação ambiental e redes neurais em uma bacia hidrográfica no domínio de Mar dos Morros},
Author = {César Silva Chagas},
Pages = {223},
School = {Universidade Federal de Viçosa, Viçosa, MG},
Year = {2006},
File = {Chagas2006.pdf:Chagas2006.pdf:PDF},
Owner = {pccli},
Timestamp = {2011.11.16},
Url = {http://www.tede.ufv.br/tedesimplificado/}
}
@Article{ChagasEtAl2010a,
Title = {Evaluation of digital elevation models for application in a digital soil mapping},
Author = {César S Chagas and Fernandes Filho, Elpídio I and Márcio F Rocha and Carvalho Júnior, Waldir and Souza Neto, Nestor C},
Journal = {Revista Brasileira de Engenharia Agrícola e Ambiental},
Pages = {218-226},
Volume = {14},
Year = {2010},
Number = {2},
Doi = {10.1590/S1415-43662010000200014},
File = {ChagasEtAl2010a.pdf:ChagasEtAl2010a.pdf:PDF},
Keywords = {DEM;}
}
@Article{ChagasEtAl2010,
Title = {Topographic attributes and {L}andsat7 data in the digital soil mapping using neural networks},
Author = {Chagas, César Silva and Fernandes Filho, Elpídio Inácio and Carlos Antônio Oliveira Vieira and Carlos Ernesto Gonçalves Reynaud Schaefer and Carvalho Júnior, Waldir},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {497-507},
Volume = {45},
Year = {2010},
Number = {5},
Doi = {10.1590/S0100-204X2010000500009},
File = {ChagasEtAl2010.pdf:ChagasEtAl2010.pdf:PDF},
Keywords = {redemds; landsat; pedometrics; dsm;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.29}
}
@Book{Chambers2008,
Title = {Software for data analysis: programming with R},
Author = {Chambers, John},
Publisher = {Springer},
Year = {2008},
File = {Chambers2008.pdf:Chambers2008.pdf:PDF},
Keywords = {programming; R;},
Owner = {alessandro},
Timestamp = {23.03.2014}
}
@Book{ChambersEtAl1991,
Title = {Statistical Models in S},
Author = {J. M. Chambers and T.J. Hastie},
Publisher = {Chapman and Hall/CRC},
Year = {1991},
File = {ChambersEtAl1991.pdf:ChambersEtAl1991.pdf:PDF},
ISBN = {0412052911},
Owner = {alessandro}
}
@Manual{Champely2009,
Title = {pwr: basic functions for power analysis},
Author = {Stephane Champely},
Year = {2009},
Note = {R package version 1.1.1},
File = {Champely2009.pdf:manual/Champely2009.pdf:PDF},
Url = {http://CRAN.R-project.org/package=pwr}
}
@Article{ChanEtAl2000,
Title = {Evaluation of potential inhibitors of methanogenesis and methane oxidation in a landfill cover soil},
Author = {A.S.K. Chan and T.B. Parkin},
Journal = {Soil Biology and Biochemistry},
Pages = {1581-1590},
Volume = {32},
Year = {2000},
Keywords = {Methanogenesis; Methane oxidation; Methanotrophy; Inhibitors; Landfill},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0038071700000717}
}
@Article{ChanderEtAl2003,
Title = {Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges},
Author = {Chander, G. and Markham, B.},
Journal = {Geoscience and Remote Sensing, IEEE Transactions on},
Pages = {2674-2677},
Volume = {41},
Year = {2003},
Number = {11},
Doi = {10.1109/TGRS.2003.818464},
File = {ChanderEtAl2003.pdf:ChanderEtAl2003.pdf:PDF},
ISSN = {0196-2892},
Keywords = {calibration;radiometry;terrain mapping;EDC;EROS Data Center;Earth Resources Observation System;Landsat-5 Thematic Mapper data;NLAPS;National Landsat Archive Production System;TM;bias;gain;irradiance;lookup table;radiance;radiometric calibration;reflectance;temperature;Calibration;Dynamic range;Extraterrestrial measurements;Geologic measurements;Geology;Instruments;Radiometry;Remote sensing;Satellite broadcasting;Sea measurements}
}
@Article{ChanderEtAl2009,
Title = {Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 \{ALI\} sensors },
Author = {Gyanesh Chander and Brian L. Markham and Dennis L. Helder},
Journal = {Remote Sensing of Environment },
Pages = {893 - 903},
Volume = {113},
Year = {2009},
Number = {5},
Doi = {http://dx.doi.org/10.1016/j.rse.2009.01.007},
File = {ChanderEtAl2009.pdf:ChanderEtAl2009.pdf:PDF},
ISSN = {0034-4257},
Keywords = {Landsat MSS, TM, ETM+},
Owner = {alessandro},
Timestamp = {14.02.2014},
Url = {http://www.sciencedirect.com/science/article/pii/S0034425709000169}
}
@Article{ChangEtAl1996,
Title = {Solid waste management system analysis with air pollution and leachate impact limitations},
Author = {Ni-Bin Chang and Christine A. Shoemaker and Richard E. Schuler},
Journal = {Waste Management and Research},
Pages = {463?481},
Volume = {14},
Year = {1996},
Keywords = {Solid waste management, optimization, system analysis, modelling, materials recycling.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0734242X96900452}
}
@Misc{Chang2012,
Title = {LATEX 2ε Cheat Sheet},
Author = {Winston Chang},
Year = {2012},
File = {Chang2012.pdf:Chang2012.pdf:PDF},
Owner = {alessandro},
Timestamp = {09.10.2013},
Url = {http://www.stdout.org/~winston/latex/latexsheet-a4.pdf}
}
@Article{ChaplotEtAl2009,
Title = {Soil erosion impact on soil organic carbon spatial variability on steep tropical slopes},
Author = {Vincent Chaplot and Pascal Podwojewski and Konngkeo Phachomphon and Christian Valentin},
Journal = {Soil Science Society of America Journal},
Pages = {769-779},
Volume = {73},
Year = {2009},
File = {ChaplotEtAl2009.pdf:Soil Science Society of America Journal/ChaplotEtAl2009.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.19}
}
@InCollection{ChaplotEtAl2006,
Title = {Improving the Spatial Prediction of Soils at Local and Regional Levels Through a Better Understanding of Soil-Landscape Relationships: Soil Hydromorphy in the Armorican Massif of Western France},
Author = {V. Chaplot and C. Walter},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {38},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {507 - 520, 630},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {DOI: 10.1016/S0166-2481(06)31038-0},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1S/2/721759145f72eda47232e1a79b48143c}
}
@Article{Chatfield1995,
Title = {Model uncertainty, data mining and statistical inference},
Author = {Chatfield, Chris},
Journal = {Journal of the Royal Statistical Society. Series A (Statistics in Society)},
Pages = {419-466},
Volume = {158},
Year = {1995},
Number = {3},
File = {Chatfield1995.pdf:Journal of the Royal Statistical Society/Chatfield1995.pdf:PDF},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1995},
Keywords = {redemds; multiple comparison},
Language = {English},
Url = {http://www.jstor.org/stable/2983440}
}
@Book{Chaui2000,
Title = {Convite à {F}ilosofia},
Address = {São Paulo},
Author = {Chaui, Marilena Souza},
Pages = {567},
Publisher = {Ática},
Year = {2000},
File = {Chaui2000.pdf:Book/Chaui2000.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.04}
}
@Article{Chaves2006,
Title = {Por que estudar os nomes dados aos solos pelos camponeses?},
Author = {Ângelo Giuseppe Chaves},
Journal = {Boletim Informativo da SBCS},
Pages = {12-17},
Volume = {31},
Year = {2006},
Number = {1},
Abstract = {Neste artigo, os autores discutem a importância de se estudar os nomes dados localmente aos solos pelas populações rurais e a existência de um conhecimento sobre variações nos atributos do solo em função da profundidade.},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{ChefetzEtAl1996,
Title = {Chemical and biological characterization of organic matter during composting of municipal solid waste},
Author = {Chefetz, B. and Hatcher, P. and Hadar, Y. and Chen, Y.},
Journal = {Journal of Environmental Quality},
Pages = {776-785},
Volume = {25},
Year = {1996},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@Article{ChenEtAl1997,
Title = {Investigation into municiqal waste leachate in the unsaturated zone of red soil},
Author = {Paris Honglay Chen and Chih Yuan Wang},
Journal = {Environment International},
Pages = {237-245},
Volume = {23},
Year = {1997},
File = {:Environment International/Chen & Wang_Environ Int_1997.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S016041209700010X}
}
@Article{ChengEtAl1994,
Title = {Testing goodness of fit for a parametric family of link functions},
Author = {Cheng, K. F. and Wu, J. W.},
Journal = {Journal of the American Statistical Association},
Pages = {657-664},
Volume = {89},
Year = {1994},
Number = {426},
Copyright = {Copyright © 1994 American Statistical Association},
ISSN = {01621459},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Jun., 1994},
Language = {English},
Publisher = {American Statistical Association},
Url = {http://www.jstor.org/stable/2290868}
}
@Article{CheshireEtAl2000,
Title = {The interaction between soil organic matter and soil clay minerals by selective removal and controlled addition of organic matter},
Author = {M. V. Cheshire and C. Dumat and A. R. Fraser and S. Hillier and S. Staunton},
Journal = {European Journal of Soil Science},
Pages = {497-509},
Volume = {51},
Year = {2000},
Doi = {10.1111/j.1365-2389.2000.00325.x},
File = {:European Journal of Soil Science/Cheshire et al_Eur J Soil Sci_2000.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Inproceedings{Chew1986,
Title = {Multiple comparison procedures: uses, abuses and alternatives},
Author = {Victor Chew},
Booktitle = {Proceedings of the 1986 Workshop of the Genetic and Breeding of Shouthern Forest Trees RIEG},
Pages = {48-58},
Year = {1986},
Address = {Gainesville},
File = {Chew1986.pdf:Chew1986.pdf:PDF},
Institution = {University of Florida},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.15},
Url = {https://fp.auburn.edu/sfws/sfnmc/class/chew.pdf}
}
@Article{Chew1976,
Title = {Uses and abuses of Duncan's multiple range test},
Author = {Chew, V.},
Journal = {Proceedings of the Florida State Horticulture Society},
Pages = {251-253},
Volume = {89},
Year = {1976},
File = {Chew1976.pdf:Chew1976.pdf:PDF},
Keywords = {Duncan's multiple comparisons, mean separation, orthogonal contrasts, factorial experiments, least significant difference, response curve, Tukey's test, Scheffe's test, statistics.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.15},
Url = {http://www.fshs.org/Proceedings/Password%20Protected/1976%20Vol.%2089/251-253%20(CHEW).pdf}
}
@Article{ChiangEtAl2008,
Title = {The effects of prescribed fire and silvicultural thinning on the aboveground carbon stocks and net primary production of overstory trees in an oak-hickory ecosystem in southern Ohio},
Author = {Jyh-Min Chiang and Ryan W. McEwan and Daniel A. Yaussy and Kim J. Brown},
Journal = {Forest Ecology and Management},
Pages = {1584-1594},
Volume = {255},
Year = {2008},
Doi = {10.1016/j.foreco.2007.11.016},
File = {:Forest Ecology and Management/Chiang et al_Forest Ecol Manage_2008.pdf:PDF},
Keywords = {Acer; ANPP; Carbon stocks; Fire and fire surrogate; Oak regeneration; Phenology; Prescribed burning; Quercus; Thinning},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{ChicatiEtAl2008,
Title = {Caracterização de alguns atributos do solo e sua correlação com a paisagem em uma porção do noroeste do Estado do Paraná},
Author = {Marcelo Luiz Chicati and Marcos Rafael Nanni and Everson Cézar and José Alexandre Melo Demattê and Roney Berti Oliveira},
Journal = {Acta Scientiarum-Agrononmy},
Pages = {719-724},
Volume = {30},
Year = {2008},
Doi = {10.4025/actasciagron.v30i5.5973},
File = {ChicatiEtAl2008.pdf:Acta Scientiarum-Agronomy/ChicatiEtAl2008.pdf:PDF},
Keywords = {sensoriamento remoto, espacialização, paisagem},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{Childs2004,
Title = {Interpolating surfaces in ArcGIS Spatial Analyst},
Author = {Colin Childs},
Year = {2004},
File = {Childs2004.pdf:Childs2004.pdf:PDF},
Keywords = {Resampling; DEM; Kriging;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Inproceedings{ChiriacEtAl1999,
Title = {Environmental effects of improper MSW landfilling - A Romanian experience},
Author = {M. Chiriac and C. Cirlan},
Booktitle = {Seventh International Waste Management and Landfill Symposium},
Pages = {7},
Publisher = {CISA, Environmental Sanitary Engineering Centre, Cagliari, Italy},
Year = {1999},
Location = {S. Margherita di Pula, Cagliari, Italy},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{ChofqiEtAl2004,
Title = {Environmental impact of an urban landfill on a coastal aquifer (El Jadida, Morocco)},
Author = {Amina Chofqi and Abedelkader Younsi and El Kbir Lhadi and Jacky Mania and Jacques Mudry and Alain Veron},
Journal = {Journal of African Earth Sciences},
Pages = {509?516},
Volume = {39},
Year = {2004},
Doi = {10.1016/j.jafrearsci.2004.07.013},
Keywords = {Groundwater pollution; Uncontrolled urban landfill; Landfill leachate; Coastal aquifer; Semi-arid region; Morocco},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{ChoiEtAl2010,
Title = {A survey of binary similarity and distance measures},
Author = {Choi, S. and S. Cha and C.C. Tappert},
Journal = {Journal of Systemics, Cybernetics and Informatics},
Pages = {43-48},
Volume = {8},
Year = {2010},
File = {ChoiEtAl2010.pdf:journal_systemics_cybernetics_and_Informatics/ChoiEtAl2010.pdf:PDF},
Keywords = {binary similarity measure, binary distance measure, hierarchical clustering, classification, operational taxonomic unit},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.08}
}
@Phdthesis{Christensen2001,
Title = {Methodology and applications in non-linear model-based geostatistics},
Author = {O F Christensen},
Pages = {152},
Year = {2001},
File = {Christensen2001.pdf:Christensen2001.pdf:PDF},
Url = {vbn.aau.dk/files/17013217/PhD02.ps}
}
@Inproceedings{ChristensenEtAl2001,
Title = {Analysing positive-valued spatial data: the transformed {G}aussian model},
Author = {Christensen, O. F. and Diggle, P. J. and Ribeiro Jr, P. J.},
Booktitle = {Proceedings of the Third European Conference on Geostatistics for Environmental Applications},
Editor = {Pascal Monestiez and Denis Allard and Roland Froidevaux},
Pages = {287-298},
Year = {2001},
Address = {Avignon},
Series = {Quantitative Geology and Geostatistics},
Volume = {11},
Doi = {10.1007/978-94-010-0810-5_25},
Keywords = {PhDpaper1;}
}
@Book{Christensen2001a,
Title = {Advanced linear modeling. Multivariate, time series, and spatial data; Nonparametric regression and response surface maximization},
Address = {New York},
Author = {Christensen, Ronald},
Pages = {398},
Publisher = {Springer},
Year = {2001},
Series = {Springer Texts in Statistics},
ISBN = {978-1-4757-3847-6},
Url = {http://www.springer.com/mathematics/probability/book/978-0-387-95296-3?detailsPage=chapter}
}
@Inproceedings{CiesiolkaEtAl2004,
Title = {A simple method for improving soil loss measurement in USLE type experiments},
Author = {C.A.A. Ciesiolka and B. Yu and C.W. Rose and H. Ghadiri and D. Lang and C. Rosewell},
Booktitle = {ISCO 2004 - 13th International Soil Conservation Organisation Conference, Brisbane, July 2004},
Year = {2004},
File = {CiesiolkaEtAl2004.pdf:Anais/CiesiolkaEtAl2004.pdf:PDF},
Owner = {pccli},
Timestamp = {2011.12.19}
}
@Manual{Cimmery2010,
Title = {User Guide for SAGA (version 2.0.5)},
Author = {Cimmery, V.},
Edition = {1},
Pages = {336},
Year = {2010},
File = {:manual/Cimmery_Manual_2010a.pdf:PDF},
HowPublished = {Online},
Keywords = {saga gis;},
Owner = {Alessandro},
Timestamp = {2011.01.25},
Url = {http://sourceforge.net/projects/saga-gis/files/SAGA%20-%20Documentation/SAGA%202%20User%20Guide/},
Volume = {2}
}
@Manual{Cimmery2010a,
Title = {User Guide for SAGA (version 2.0.5)},
Author = {Vern Cimmery},
Edition = {1},
Pages = {393},
Year = {2010},
File = {:manual/Cimmery_Manual_2010b.pdf:PDF},
HowPublished = {Online},
Keywords = {saga gis;},
Owner = {usuario},
Timestamp = {2012.03.03},
Volume = {1}
}
@Inproceedings{CintraEtAl2001,
Title = {Documentos cartográficos: determinação do PEC},
Author = {Cintra, J. P. and Nero, M. A.},
Booktitle = {Proceedings of the XX Congresso Brasileiro de Cartografia},
Pages = {1-6},
Year = {2001},
Address = {Porto Alegre},
Owner = {alessandro},
Timestamp = {31.10.2013}
}
@Article{CiveiraEtAl2008,
Title = {Nitrate losses, nutrients and heavy metal accumulation from substrates assembled for urban soils reconstruction},
Author = {G. Civeira and R.S. Lavado},
Journal = {Journal of Environmental Management},
Pages = {1619-1623},
Volume = {88},
Year = {2008},
Doi = {10.1016/j.jenvman.2007.08.005},
Keywords = {Urban soils; Soil reclamation; Biosolids; Nitrate losses; Heavy metals},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Book{ClaessenEtAl1997,
Title = {Handbook of methods of soil analysis},
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Editor = {Embrapa},
Pages = {1},
Publisher = {Embrapa},
Year = {1997},
Edition = {1},
File = {Embrapa1997.pdf:manual/Embrapa1997.pdf:PDF},
Journal = {Rio de Janeiro: Embrapa-CNPS}
}
@Article{ClaessensEtAl2005,
Title = {{DEM} resolution effects on shallow landslide hazard and soil redistribution modelling},
Author = {Claessens, L. and Heuvelink, G. B. M. and Schoorl, J. M. and Veldkamp, A.},
Journal = {Earth Surface Processes and Landforms},
Pages = {461-477},
Volume = {30},
Year = {2005},
Number = {4},
Doi = {10.1002/esp.1155},
File = {ClaessensEtAl2005.pdf:ClaessensEtAl2005.pdf:PDF},
ISSN = {1096-9837},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Inproceedings{Clark1999,
Title = {A case study in the application of geostatistics to lognormal and quasi-lognormal problems},
Author = {Isobel Clark},
Booktitle = {XXVIII International Symposium on the Application of Computers and Operations Research in the Mineral Industry},
Year = {1999},
Address = {Golden},
File = {Clark1999.pdf:Clark1999.pdf:PDF},
Url = {http://www.kriging.com/publications/}
}
@Book{Clark1979,
Title = {Practical geostatistics},
Author = {Isobel Clark},
Year = {1979},
File = {Clark1979.pdf:Clark1979.pdf:PDF},
Url = {http://www.kriging.com/PG1979/}
}
@Manual{Claudel2006,
Title = {OSSIM registration utilities},
Author = {Frederic Claudel},
Pages = {15},
Year = {2006},
File = {Claudel2006.pdf:Claudel2006.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.11}
}
@Techreport{Clausen1999,
Title = {Branch and bound algorithms - principles and examples},
Address = {Copenhagen},
Author = {Jens Clausen},
Pages = {30},
Publisher = {University of Copenhagen},
Year = {1999},
File = {Clausen1999.pdf:Clausen1999.pdf:PDF},
Keywords = {variable selection;},
Owner = {alessandro},
Timestamp = {11.07.2013},
Url = {http://janders.eecg.toronto.edu/1387/readings/b_and_b.pdf}
}
@Article{Clement2013,
Title = {Authorship Matrix: A Rational Approach to Quantify Individual Contributions and Responsibilities in Multi-Author Scientific Articles},
Author = {Clement, T.Prabhakar},
Journal = {Science and Engineering Ethics},
Pages = {1-17},
Year = {2013},
Doi = {10.1007/s11948-013-9454-3},
File = {Clement2013.pdf:Clement2013.pdf:PDF},
ISSN = {1353-3452},
Keywords = {Authorship; Multi-author article; Co-authorship; Author-rank; Authorship-responsibility; Scientific-authoring; Authorship-quantification; Responsible-conduct of research (RCR)},
Language = {English},
Owner = {alessandro},
Publisher = {Springer Netherlands},
Url = {http://dx.doi.org/10.1007/s11948-013-9454-3}
}
@Article{ClementeEtAl2006,
Title = {Heavy metals fractionation and organic matter mineralisation in contaminated calcareous soil amended with organic materials},
Author = {Rafael Clemente and Ángeles Escolar and M. Pilar Bernal},
Journal = {Bioresource Technology},
Pages = {1894 - 1901},
Volume = {97},
Year = {2006},
Number = {15},
Doi = {DOI: 10.1016/j.biortech.2005.08.018},
File = {ClementeEtAl2006.pdf:Bioresource Technology/ClementeEtAl2006.pdf:PDF},
ISSN = {0960-8524},
Keywords = {Carbon mineralisation},
Url = {http://www.sciencedirect.com/science/article/B6V24-4H9GRDF-3/2/ccfd9dfe88d73579cf7d640ec1536046}
}
@Article{CliffordEtAl2014,
Title = {Pragmatic soil survey design using flexible {L}atin hypercube sampling},
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Pages = {62-68},
Volume = {67},
Year = {2014},
Month = {Jun},
Doi = {10.1016/j.cageo.2014.03.005},
File = {CliffordEtAl2014.pdf:CliffordEtAl2014.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics; Access;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Electronic{CNPq2011,
Title = {História do CNPq},
Author = {CNPq},
HowPublished = {Online},
Language = {Portugês},
Organization = {CNPq},
Url = {http://centrodememoria.cnpq.br/Missao.html},
Year = {2011},
Owner = {Administrador},
Timestamp = {2011.01.11}
}
@Book{Cochram1977,
Title = {Sampling techniques},
Author = {William Gemmell Cochram},
Publisher = {New York, USA: John Wiley and Sons},
Year = {1977},
File = {Cochram1977.djvu:Book/Cochram1977.djvu:Djvu},
Keywords = {probability sampling, stratified simple random sampling},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.30}
}
@Article{CoelhoEtAl2010,
Title = {Comparison of methods for digital soil mapping using a geographical information system},
Author = {Fabrício Fernandes Coelho and Elvio Giasson},
Journal = {Ciência Rural},
Pages = {2099-2106},
Volume = {40},
Year = {2010},
Number = {10},
Doi = {http://dx.doi.org/10.1590/S0103-84782010005000156},
File = {CoelhoEtAl2010.pdf:CoelhoEtAl2010.pdf:PDF},
Keywords = {modelo digital de elevação, variáveis geomorfométricas, classificação em estágio único, classificação hierárquica},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.28}
}
@Article{Coeterier1994,
Title = {Cues for the perception of the size of space in landscapes},
Author = {J.F. Coeterier},
Journal = {Journal of Environmental Management },
Pages = {333 - 347},
Volume = {42},
Year = {1994},
Number = {4},
Doi = {http://dx.doi.org/10.1006/jema.1994.1076},
File = {Coeterier1994.pdf:Coeterier1994.pdf:PDF},
ISSN = {0301-4797},
Keywords = {space perception, architectural psychology},
Owner = {alessandro},
Timestamp = {10.09.2013},
Url = {http://www.sciencedirect.com/science/article/pii/S0301479784710760}
}
@Article{CogleEtAl2003,
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Pages = {825-830},
Volume = {18},
Year = {2003},
Doi = {10.1016/S1364-8152(03)00082-3},
File = {:Environmental Modelling Software/Cogle et al_Environ Modell Softw_2003.pdf:PDF},
Keywords = {Erosion; Hillslopes; India; New Zealand; Australia},
Owner = {Alessandro Samuel Rosa},
Timestamp = {27.07.2010}
}
@Inproceedings{Cogo1978,
Title = {Uma contribuição à metodologia de estudo das perdas por erosão em condição de chuva natural: I - sugestões gerais, medição do volume, amostragem e quantificação de solo e água da enxurrada},
Author = {N.P. Cogo},
Booktitle = {II Encontro Nacional de Pesquisa sobre Conservação do Solo, Passo Fundo, Embrapa, 481p.},
Pages = {75-97},
Year = {1978},
Owner = {pccli},
Timestamp = {2011.12.19}
}
@Article{Cohen1994,
Title = {The earth is round (p < .05)},
Author = {Jacob Cohen},
Journal = {American Psychologist},
Pages = {997-1003},
Year = {1994},
File = {Cohen1994.pdf:Cohen1994.pdf:PDF},
Keywords = {significance}
}
@Article{Cohen1992,
Title = {A power primer},
Author = {Cohen, Jacob},
Journal = {Psychological Bulletin},
Pages = {155-159},
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Year = {1992},
File = {Cohen1992.pdf:Psychological Bulletin/Cohen1992.pdf:PDF},
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Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.04}
}
@InCollection{ColeEtAl2006,
Title = {Pedogenic understanding raster classification methodology for mapping soils, Powder River Basin, Wyoming, USA},
Author = {N.J. Cole and J.L. Boettinger},
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Publisher = {Elsevier},
Year = {2006},
Chapter = {27},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {377 - 388, 619},
Series = {Developments in Soil Science},
Volume = {31},
Doi = {DOI: 10.1016/S0166-2481(06)31027-6},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1B/2/911e5f32a9f869626732a9c189b8e967}
}
@Article{Coltrinari1993,
Title = {Global quaternary changes in South America},
Author = {Lylian Coltrinari},
Journal = {Global and Planetary Change},
Pages = {11 - 23},
Volume = {7},
Year = {1993},
Note = {<ce:title>Quaternary earth system changes </ce:title>},
Number = {1?3},
Doi = {10.1016/0921-8181(93)90037-O},
File = {Coltrinari1993.pdf:Global and Planetary Change/Coltrinari1993.pdf:PDF},
ISSN = {0921-8181},
Url = {http://www.sciencedirect.com/science/article/pii/092181819390037O}
}
@Techreport{COMIG2003,
Title = {Mapa geológico do estado de Minas Gerais},
Address = {Belo Horizonte},
Author = {COMIG},
Year = {2003},
Note = {1 mapa, color. Escala 1:1.000.000},
Institution = {COMIG},
Keywords = {redemds; mata seca},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.19}
}
@Article{ConaginEtAl1993,
Title = {Effect of non-normality on testes of equality of variances},
Author = {Conagin, Armando AND Nagai, Violeta AND Igue, Toshio AND Ambrósio, Luis},
Journal = {Bragantia},
Pages = {173 - 180},
Volume = {52},
Year = {1993},
Doi = {10.1590/S0006-87051993000200010},
File = {:Bragantia/Conagin_EtAl1993.pdf:PDF},
ISSN = {0006-8705},
Keywords = {testes de homogeneidade das variâncias, assimetria, curtose, Bartlett},
Language = {pt}
}
@Article{EtAl2005b,
Title = {Qualidade do solo em sistemas de manejo avaliada pela dinâmica da matéria orgânica e atributos relacionados},
Author = {Paulo Cesar Conceição and Telmo Jorge Carneiro Amado and João Mielniczuk and Evandro Spagnollo},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {777-788},
Volume = {29},
Year = {2005},
Keywords = {carbono orgânico total, culturas de cobertura, conservação do solo},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Book{CongaltonEtAl2009,
Title = {Assessing the accuracy of remotely sensed data: principles and practices},
Address = {Boca Raton},
Author = {Russell G. Congalton and Kass Green},
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Publisher = {CRC Press},
Year = {2009},
Edition = {2},
File = {CongaltonEtAl2009.pdf:CongaltonEtAl2009.pdf:PDF},
Keywords = {categorical data; validation; accuracy; quality;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.05}
}
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Title = {SAGA - Entwurf, Funktionsumfang und Anwendung eines Systems für Automatisierte Geowissenschaftliche Analysen},
Author = {Olaf Conrad},
Pages = {221},
School = {Faculty of Mathematics and Natural Sciences - University of Göttingen},
Year = {2006},
Address = {Göttingen},
File = {:phdthesis/Conrad_Tese_2006.pdf:PDF},
Keywords = {saga gis;},
Owner = {pccli},
Timestamp = {2012.01.31},
Url = {http://deposit.ddb.de/cgi-bin/}
}
@Monograph{Conrad1998,
Title = {Ableitung hydrologisch relevanter Reliefparameter aus einem Digitalen Geländemodell (am Beispiel des Einzugsgebietes Linnengrund / Kaufunger Wald)},
Address = {Göttingen},
Author = {Olaf Conrad},
School = {Department of Geography Göttingen},
Url = {http://ufpr.dl.sourceforge.net/project/saga-gis/SAGA%20-%20Older%20Releases/DiGeM%202.0/},
Year = {1998},
File = {Conrad1998.pdf:Conrad1998.pdf:PDF},
Owner = {pccli},
Pages = {89},
Timestamp = {2011.09.28}
}
@Inproceedings{ConradEtAl2006,
Title = {Soil degradation risk assessment integrating terrain analysis and soil spatial prediction methods},
Author = {O. Conrad and J.P. Krüger and M. Bock and G. Gerold},
Booktitle = {Proceedings of the International Conference: Soil and Desertification - Integrated Research for the Sustainable Management of Soils in Drylands, 5-6 May 2006, Hamburg, Germany},
Pages = {9},
Publisher = {5-6 May 2006, Hamburg, Germany},
Year = {2006},
File = {ConradEtAl2006.pdf:Anais/ConradEtAl2006.pdf:PDF},
Keywords = {terrain analysis, soil spatial prediction, wind erosion risk assessment},
Owner = {Administrador},
Timestamp = {2011.08.10},
Url = {http://www.desertnet.de/proceedings/pdf/}
}
@Book{CookEtAl1982,
Title = {Residuals and influence in regression},
Address = {New York},
Author = {R. Dennis Cook and Sanford Weisberg},
Pages = {240},
Publisher = {Chapman and Hall},
Year = {1982},
Edition = {1},
File = {CookEtAl1982.pdf:Book/CookEtAl1982.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro},
Timestamp = {2011.02.18},
Url = {http://conservancy.umn.edu/handle/37076}
}
@Book{Cooke1991,
Title = {Experts in uncertainty - opinion and subjective probability in science},
Address = {Oxford},
Author = {Roger M Cooke},
Pages = {321},
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Year = {1991},
File = {Cooke1991.pdf:Cooke1991.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.19}
}
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Title = {An example of the role of microclimate in soil genesis},
Author = {Cooper, A W},
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Pages = {109-120},
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Year = {1960},
Keywords = {Aspect; Northerness;},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
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Title = {A National Soil Profile Database for Brazil Available to International Scientists},
Author = {Cooper, Miguel and Mendes, Lúcia Maria Silveira and Silva, Wellinton Luiz Costa and Sparovek, Gerd},
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Pages = {649--652},
Volume = {69},
Year = {2005},
Number = {3},
Date = {2005/5},
Doi = {10.2136/sssaj2004.0140},
File = {CooperEtAl2005.pdf:CooperEtAl2005.pdf:PDF},
Owner = {alessandro},
Timestamp = {17.01.2014}
}
@Article{Copas1983,
Title = {Regression, Prediction and Shrinkage},
Author = {Copas, J. B.},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {311-354},
Volume = {45},
Year = {1983},
Copyright = {Copyright © 1983 Royal Statistical Society},
File = {Copas1983.pdf:Copas1983.pdf:PDF},
ISSN = {00359246},
Keywords = {degrees of freedom; stepwise; regression; pedometrics;}
}
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Title = {Adição de areia para dispersão de solos na análise granulométrica},
Author = {José Eduardo Corá and Carolina Fernandes and José Marcos Garrido Beraldo and Adolfo Valente Marcelo},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {255-262},
Volume = {33},
Year = {2009},
Keywords = {análise textural, argila, dispersão mecânica, óxidos de ferro, microagregação},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v33n2/03.pdf}
}
@Article{Cordy1993,
Title = {An extension of the Horvitz-Thompson theorem to point sampling from a continuous universe},
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Volume = {18},
Year = {1993},
Number = {5},
Abstract = {A theory of estimation for sampling from a continuous universe is developed. The results are similar in form to the Horvitz?Thompson theorem from finite population sampling.},
Doi = {10.1016/0167-7152(93)90028-H},
File = {Cordy1993.pdf:Statistics and Probability Letters/Cordy1993.pdf:PDF},
ISSN = {0167-7152},
Keywords = {Spatial sampling},
Url = {http://www.sciencedirect.com/science/article/pii/016771529390028H}
}
@Book{CornellEtAl2003,
Title = {The iron oxides - structure, properties, reactions, occurrences and uses},
Author = {R M Cornell and Udo Schwertmann},
Pages = {692},
Publisher = {Wiley-VCH},
Year = {2003},
Edition = {2},
File = {CornellEtAl2003.pdf:Book/CornellEtAl2003.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Article{CornulierEtAl2006,
Title = {Assessing the influence of environmental heterogenity on bird spacing patterns: a case study with two raptors},
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Journal = {Ecography},
Pages = {240-250},
Volume = {29},
Year = {2006},
File = {CornulierEtAl2006.pdf:CornulierEtAl2006.pdf:PDF},
Keywords = {point pattern analysis; ppp;},
Owner = {alessandro},
Timestamp = {03.12.2013},
Url = {http://pdf.aminer.org/000/290/867/testing_differences_between_case_and_control_point_patterns_using_nearest.pdf}
}
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Title = {Atributos físicos, químicos e mineralógicos de solos da região das Várzeas de Sousa (PB)},
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Journal = {Revista Brasileira de Ciência do Solo},
Pages = {311-324},
Volume = {27},
Year = {2003},
Keywords = {semi-árido, alcalinidade, esmectitas, matéria orgânica, estratificação de ambientes.},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Mastersthesis{Correia2000,
Title = {Estudo do balanço de radiação em área de policultivo na Amazônia},
Address = {São José dos Campos},
Author = {Correia, F W S},
Pages = {137},
School = {Instituto Nacional de Pesquisas Espaciais},
Year = {2000},
Keywords = {Aspect; Northerness;},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
@Article{CorreiaEtAl2007,
Title = {Relações entre o conhecimento de agricultores e de pedólogos sobre solos: estudo de caso em Rio Pardo de Minas, MG},
Author = {J Roberto Correia and Lúcia Helena Cunha Anjos and Antonio Carlos Souza Lima and Delma Pessanha Neves and Luciano Oliveira Toledo and Braz Calderano.Filho and Edgar Shinzato},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1045-1057},
Volume = {31},
Year = {2007},
Keywords = {etnopedologia, saber local, conhecimento científico, mapeamento de solos.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2009},
Url = {http://www.scielo.br/pdf/rbcs/v31n5/a21v31n5.pdf}
}
@Techreport{R.EtAl200X,
Title = {Critérios preliminares para definição da aptidão agroecológica e agroextrativista das terras para agricultura de base familiar: estudo de caso em uma comunidade do Alto Rio Pardo, norte de Minas Gerais},
Author = {João R. Correia and Braz C. Filho and Lúcia H. C. and Wanderson H. Couto and Eder S. Martins},
Pages = {15},
Year = {200X},
Institution = {Universidade Federal Rural do Rio de Janeiro},
Keywords = {etnopedologia, aptidão das terras, conhecimento local},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{RobertoEtAl2004,
Title = {The soil surveyer activity and the relationship with rural communities: observations from family based farmers in the north of Minas Gerais, Brazil},
Author = {João Roberto Correia and Antonio C.S. Lima and Lúcia H.C. Anjos},
Journal = {Cadernos de Ciência e Tecnologia},
Pages = {447-467},
Volume = {21},
Year = {2004},
File = {CorreiaEtAl2004.pdf:Cadernos de Ciência e Tecnologia/CorreiaEtAl2004.pdf:PDF},
Keywords = {conhecimento local, agricultura familiar, levantamento de solos, etnopedologia.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2009},
Url = {http://webnotes.sct.embrapa.br/pdf/cct/v21/v21n3p447.pdf}
}
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Title = {Orthogonal contrasts in the analyses of ammonia volatilization control in composting},
Author = {José Eduardo Corrente and Maria Cristina Stolf Nogueira and Beatriz Montrágio Costa},
Journal = {Scientia Agricola},
Pages = {407-412},
Volume = {58},
Year = {2001},
File = {CorrenteEtAl2001.pdf:CorrenteEtAl2001.pdf:PDF},
Keywords = {compostagem de esterco, volatilização, tratamento adicional, contraste ortogonal; multiple comparison},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/sa/v58n2/4435.pdf}
}
@Article{CostaEtAl2004,
Title = {Aumento de matéria orgânica num latossolo bruno em plantio direto},
Author = {Falberni Souza Costa and Cimélio Bayer and Jackson Adriano Albuquerque and Sandra Mara Vieira Fontoura},
Journal = {Ciência Rural},
Pages = {587-589},
Volume = {34},
Year = {2004},
File = {:Ciência Rural/Costa et al_Cienc Rural_2004.pdf:PDF},
Keywords = {manejo conservacionista, matéria orgânica particulada, agregação},
Owner = {Administrador},
Timestamp = {2010.12.29}
}
@Article{CostaEtAl2008,
Title = {Estoque de carbono orgânico no solo e emissões de dióxido de carbono influenciadas por sistemas de manejo no sul do Brasil},
Author = {Falberni Souza Costa and Cimélio Bayer and Josiléia Acordi Zanatta and João Mielniczuk},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {323-332},
Volume = {32},
Year = {2008},
Keywords = {dióxido de carbono, carbono orgânico, plantio direto, plantas de cobertura, leguminosas},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009},
Url = {http://www.scielo.br/pdf/rbcs/v32n1/30.pdf}
}
@Techreport{Costa2003,
Title = {Técnicas experimentais aplicadas às ciências agrárias},
Address = {Seropédica},
Author = {Janaína Ribeiro Costa},
Pages = {102},
Year = {2003},
File = {Costa2003.pdf:Costa2003.pdf:PDF},
Institution = {Embrapa Agrobiologia},
Keywords = {multiple comparison; scott-knott},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.17},
Url = {http://www.cnpab.embrapa.br/serie-documentos/DOC163}
}
@Article{CotchingEtAl2010,
Title = {Soil quality evaluation and the interaction with land use and soil order in Tasmania, Australia},
Author = {W.E. Cotching and D.B. Kidd},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {358 - 366},
Volume = {137},
Year = {2010},
Number = {3-4},
Doi = {DOI: 10.1016/j.agee.2010.03.006},
File = {CotchingEtAl2010.pdf:Agriculture Ecosystems and Environment/CotchingEtAl2010.pdf:PDF},
ISSN = {0167-8809},
Keywords = {Targets},
Url = {http://www.sciencedirect.com/science/article/B6T3Y-4YS6P61-2/2/4b644e38a70acd58b20344e60bb473f6}
}
@Article{CoulsonEtAl2006,
Title = {Indexing variability: a case study with climate change impacts on ecosystems},
Author = {David Coulson and Linda Joyce},
Journal = {Ecological Indicators},
Pages = {749-769},
Volume = {6},
Year = {2006},
Number = {4},
Doi = {10.1016/j.ecolind.2005.09.008},
File = {:Ecological Indicators/Coulson e Joyce_Ecol Indic_2006.pdf:PDF},
Keywords = {Moving block methodology; Cumulative sum of squares; Variance shift; Change point detection; Indexing variance},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{CoutoEtAl2002,
Title = {Application of multivariate geostatistics to identify soil landscapes in the Pantanal of Mato Grosso - Brazil},
Author = {Eduardo Guimarães Couto and Cátia Nunes Cunha},
Journal = {Revista Agricultura Tropical},
Pages = {43-58},
Volume = {6},
Year = {2002},
Keywords = {Pantanal mato-grossense, multivariate statistics, spatial soil variability.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {12.10.2009},
Url = {http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=DB5690413625CAC16862DA1186ED0682?doi=10.1.1.3.7979&rep=rep1&type=pdf}
}
@Book{CoutoEtAlxxxx,
Title = {The soil diversity of the Pantanal},
Author = {Eduardo Guimarães Couto and Virlei Álvaro Oliveira},
Pages = {29},
Publisher = {xxxx},
Year = {xxxx},
Edition = {1},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
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Title = {A note on the efficiency of least-squares estimates},
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Pages = {284-289},
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Year = {1968},
Number = {2},
Copyright = {Copyright © 1968 Royal Statistical Society},
File = {:Journal of the Royal Statistical Society/Cox and Hinkley_J Royal Stat Soc_1968.pdf:PDF},
ISSN = {00359246},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1968},
Keywords = {redemds},
Language = {English},
Publisher = {Blackwell Publishing for the Royal Statistical Society},
Url = {http://www.jstor.org/stable/2984507}
}
@Book{CPRM2007,
Title = {Programa levantamentos geológicos básicos do Brasil - Agudo, Folha Sh.22-V-C-V, Estado do Rio Grande do Sul},
Address = {Brasília},
Author = {CPRM},
Pages = {97},
Publisher = {CPRM (Serviço Geológico do Brasil)},
Year = {2007},
Note = {Escala 1:100.000},
File = {CPRM2007.pdf:CPRM2007.pdf:PDF},
Keywords = {dnos; geologia; geomorfologia; caturrita;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.12}
}
@Book{Cramer1946,
Title = {Mathematical methods of statistics},
Address = {Princeton},
Author = {Cramér, Harald},
Pages = {575},
Publisher = {Princeton University Press},
Year = {1946},
File = {Cramer1946.pdf:Cramer1946.pdf:PDF},
ISBN = {0-691-08004-6},
Keywords = {Cramér's V; Association;}
}
@Article{Cressie2006,
Title = {Block kriging for lognormal spatial processes},
Author = {Cressie, Noel},
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Volume = {38},
Year = {2006},
Month = {Aug},
Number = {4},
Doi = {10.1007/s11004-005-9022-8},
File = {Cressie2006.pdf:Cressie2006.pdf:PDF},
ISSN = {1573-8868},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{Cressie1996,
Title = {Change of support and the modifiable areal unit problem},
Author = {Cressie, Noel A},
Journal = {Geographical Systems},
Pages = {159-180},
Volume = {3},
Year = {1996},
Number = {2-3},
File = {Cressie1996.pdf:Cressie1996.pdf:PDF},
Keywords = {Spatial; Scale; Support; Resolution;},
Owner = {alessandro},
Url = {http://ro.uow.edu.au/infopapers/2392/}
}
@Book{Cressie1993,
Title = {Statistics for spatial data},
Address = {New York},
Author = {Noel A C Cressie},
Pages = {900},
Publisher = {John Wiley \& Sons},
Year = {1993},
File = {Cressie1993.pdf:Book/Cressie1993.pdf:PDF},
Keywords = {redemds; ppp; point pattern analysis; PhDpaper1;},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471002550.html}
}
@Article{CriminisiEtAl2011,
Title = {Decision forests: a unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning},
Author = {Criminisi, Antonio and Shotton, Jamie and Konukoglu, Ender},
Journal = {Foundations and Trends in Computer Graphics and Vision},
Pages = {81-227},
Volume = {7},
Year = {2011},
Number = {2-3},
Doi = {10.1561/0600000035},
File = {CriminisiEtAl2011.pdf:CriminisiEtAl2011.pdf:PDF},
ISSN = {1572-2759},
Keywords = {Random; Forest;},
Owner = {alessandro},
Publisher = {Now Publishers}
}
@Article{CrittoEtAl2003,
Title = {Characterization of contaminated soil and groundwater surrounding an illegal landfill (S. Giuliano, Venice, Italy) by principal component analysis and kriging},
Author = {Andrea Critto and Claudio Carlon and Antonio Marcomini},
Journal = {Environmental Pollution},
Pages = {235-244},
Volume = {122},
Year = {2003},
Doi = {http://linkinghub.elsevier.com/retrieve/pii/S0269749102002968},
File = {:Environmental Pollution/Critto et al_Environ Pollut_2003.pdf:PDF},
Keywords = {Contaminated site; Hydrogeological and chemical characterization; Principal components analysis; Geostatistical techniques; Exposure diagram},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{CrosettoEtAl2000,
Title = {Sensitivity and uncertainty analysis in spatial modelling based on GIS},
Author = {Michele Crosetto and Stefano Tarantola and Andrea Saltelli},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {71-79},
Volume = {81},
Year = {2000},
Number = {1},
Doi = {10.1016/S0167-8809(00)00169-9},
File = {CrosettoEtAl2000.pdf:CrosettoEtAl2000.pdf:PDF},
Keywords = {Prediction uncertainty; Data quality requirement; Extended FAST; Hydrologic model; redemds}
}
@Article{CruzEtAl2003,
Title = {Atributos físicos e carbono orgânico de um Argissolo Vermelho sob sistemas de manejo},
Author = {A. C. Cruz and E. A. Pauletto and C. A. Flores and J. B. Silva},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1105-1112},
Volume = {27},
Year = {2003},
Keywords = {plantio direto, estrutura do solo, agregação do solo, densidade do solo.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v27n6/19205.pdf}
}
@Techreport{CunhaEtAl1997,
Title = {Estudo dos solos do município de Piratini},
Author = {Noel Gomes Cunha and Ruy José Silveira and Carlos Roberto Severo and Marcelo Lopes Nunes and Fábia Amorim Costa and Mauricio Jurê Soares and Cláudia Neves Costa},
Pages = {90},
Year = {1997},
Number = {26},
Type = {Documentos},
Institution = {Pelotas: EMBRAPA-CPACT / UFPel},
Owner = {Administrador},
Timestamp = {2011.01.07}
}
@Article{CunhaEtAl2005,
Title = {Superfícies geomórficas e atributos de Latossolos em uma seqüência arenítico-basáltica da região de Jaboticabal (SP)},
Author = {Pedro Cunha and José Marques.Júnior and Nilton Curi and Gener Tadeu Pereira and Igo Fernando Lepsch},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {81-90},
Volume = {29},
Year = {2005},
File = {:Revista Brasileira de Ciência do Solo/Cunha et al_RBCS_2005.pdf:PDF},
Keywords = {superfícies geomórficas, relações solo-paisagem, variabilidade espacial, geoestatística, ?split moving windows dissimilarity analysis?},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://en.scientificcommons.org/20892391}
}
@Article{CunhaEtAl2007,
Title = {Fracionamento químico da matéria orgânica e características de ácidos húmicos de solos com horizonte a antrópico da amazônia (Terra Preta)},
Author = {Tony Jarbas Ferreira Cunha And Beata Emoke Madari And Vinicius Melo Benites And Luciano Pasqualoto Canellas And Etelvino Henrique Novotny And Rondinele Oliveira Moutta And Patrick Marques Trompowsky And Gabriel Araújo Santos},
Journal = {Acta Amazonica},
Pages = {91-98},
Volume = {37},
Year = {2007},
File = {CunhaEtAl2007a.pdf:acta_amazonica/CunhaEtAl2007a.pdf:PDF},
Keywords = {Solos antropogênicos, Amazônia, termogravimétria, composição elementar, acidez.},
Owner = {Administrador},
Timestamp = {2010.12.28},
Url = {http://www.scielo.br/pdf/aa/v37n1/v37n1a10.pdf}
}
@Article{CuriEtAl1987,
Title = {Effect of Parent Rocks on Chemical and Mineralogical Properties of Some Oxisols in Brazil},
Author = {Curi, N. and Franzmeier, D. P.},
Journal = {Soil Sci. Soc. Am. J.},
Pages = {153--158},
Volume = {51},
Year = {1987},
Number = {1},
Date = {1987},
Doi = {10.2136/sssaj1987.03615995005100010033x},
File = {CuriEtAl1987.pdf:CuriEtAl1987.pdf:PDF},
Owner = {alessandro},
Timestamp = {14.01.2014},
Url = {https://www.soils.org/publications/sssaj/abstracts/51/1/153}
}
@Article{CuriEtAl1984,
Title = {Toposequence of Oxisols from the Central Plateau of Brazil},
Author = {Curi, N. and Franzmeier, D. P.},
Journal = {Soil Science Society of America Journal},
Pages = {341-346},
Volume = {48},
Year = {1984},
Number = {1},
Abstract = {Landscape position is a critical factor influencing many co-varying soil properties even in highly weathered soils that tend to have a high degree of homogeneity. The objective of this study was to learn how the position of a soil in a toposequence influences soil color, mineralogy, and some chemical and physical properties. In a toposequence of Oxisols developed from basalt in the Central Plateau of Brazil (Goias State), moist soil color changed from dark reddish brown (2.5YR 3/4) in upper slope positions to dark yellowish brown (10YR 4/4) in lower slope positions and the following trends were observed: hematite content decreased and goethite content increased, the amount of Al substitution in the goethite structure increased, gibbsite content decreased and kaolinite content increased, and magnetic suceptibility and maghemite content of fine clay decreased. Also, the yellower soils down slope adsorbed more P and desorbed less P than the redder soils upslope, possibly because the yellower soils contain more goethite, which was found to have a smaller crystallite size and more DCB-extractable Al than hematite. Soil color is a reliable indicator of iron oxide mineralogy which reflects the genesis of the soil and influences properties that affect plant growth. Thus, color should be used at a relatively high categorical level in soil classification systems to define classes of Latosols and Oxisols.},
Date = {1987},
Doi = {10.2136/sssaj1984.03615995004800020024x},
File = {CuriEtAl1984.pdf:Soil Science Society of America Journal/1977_1986/CuriEtAl1984.pdf:PDF},
Owner = {alessandro},
Timestamp = {14.01.2014}
}
@Article{Curtis2012,
Title = {The science of subjectivity},
Author = {Curtis, Andrew},
Journal = {Geology},
Pages = {95-96},
Volume = {40},
Year = {2012},
Number = {1},
Doi = {10.1130/focus012012.1},
Eprint = {http://geology.gsapubs.org/content/40/1/95.full.pdf+html},
File = {Curtis2012.pdf:Curtis2012.pdf:PDF},
Url = {http://geology.gsapubs.org/content/40/1/95.short}
}
@Conference{Cutler2013,
Title = {Trees and random forests},
Author = {Adele Cutler},
Year = {2013},
File = {Cutler2013.pdf:Cutler2013.pdf:PDF},
Url = {http://www.math.usu.edu/adele/RandomForests/UofU2013.pdf}
}
@Article{CutlerEtAl2007,
Title = {Random forests for classification in ecology},
Author = {Cutler, D. Richard and Edwards, Thomas C. and Beard, Karen H. and Cutler, Adele and Hess, Kyle T. and Gibson, Jacob and Lawler, Joshua J.},
Journal = {Ecology},
Pages = {2783--2792},
Volume = {88},
Year = {2007},
Month = nov,
Number = {11},
Booktitle = {Ecology},
Comment = {doi: 10.1890/07-0539.1},
Doi = {10.1890/07-0539.1},
File = {CutlerEtAl2007.pdf:CutlerEtAl2007.pdf:PDF},
ISSN = {0012-9658},
Keywords = {aspect; northerness;},
Owner = {alessandro},
Publisher = {Ecological Society of America},
Timestamp = {21.02.2014},
Url = {http://dx.doi.org/10.1890/07-0539.1}
}
@Article{CuypersEtAl2000,
Title = {Rapid persulfate oxidation predicts pah bioavailability in soils and sediments},
Author = {C. Cuypers and T. Grotenhuis and T. Joziasse and W. Rulkens},
Journal = {Environmental Science and Technology},
Pages = {2057-2063},
Volume = {34},
Year = {2000},
Abstract = {Persulfate oxidation was validated as a method to predict polycyclic aromatic hydrocarbon (PAH) bioavailability in soils and sediments. It was demonstrated for 14 field contaminated soils and sediments that residual PAH concentrations after a short (3 h) persulfate oxidation correspond well to residual PAH concentrations after 21 days of biodegradation. Persulfate oxidation of samples that had first been subjected to biodegradation yielded only limited additional PAH oxidation. This implies that oxidation and biodegradation removed approximately the same PAH fraction. Persulfate oxidation thus provides a good and rapid method for the prediction of PAH bioavailability. Thermogravimetric analysis of oxidized and untreated samples showed that persulfate oxidation primarily affected expanded organic matter. The results indicate that this expanded organic matter contained mainly readily bioavailable PAHs.},
File = {:Environmental Science & Technology/Cuypers et al_Environ Sci Technol_2000.PDF:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://pubs.acs.org/doi/abs/10.1021/es991132z}
}
@Article{CuypersEtAl2002,
Title = {Amorphous and condensed organic matter domains: the effect of persulfate oxidation on the composition of soil/sediment organic matter},
Author = {Chiel Cuypers and Tim Grotenhuis and Klaas G. J. Nierop and Elena Maneiro Franco and Adrie de Jager and Wim Rulkens},
Journal = {Chemosphere},
Pages = {919 - 931},
Volume = {48},
Year = {2002},
Number = {9},
Abstract = {The composition of amorphous and condensed soil/sediment organic matter (SOM) domains was investigated for one soil sample and four sediment samples. These samples were oxidized with persulfate to remove amorphous SOM, before and after which the composition of SOM was studied by thermogravimetric analysis, pyrolysis-GC/MS, and cross polarization magic angle spinning 13 C-NMR. Comparison of the SOM composition before and after oxidation showed that condensed SOM was more thermostable and less polar than amorphous SOM. Condensed SOM was relatively low in O?alkyl C and carboxyl C and it was likely to contain only small amounts of labile organic components (carbohydrates, peptides, fatty acids). Apart from these general characteristics, the composition of the condensed and amorphous domains appeared to be highly dependent on the origin and nature of the SOM investigated. Condensed domains in relatively undecomposed SOM were enriched in aliphatic C, whereas condensed domains in relatively weathered SOM were enriched in aromatic C. Altogether, the compositional changes upon persulfate oxidation were similar to the compositional changes upon humi?cation, which supports the idea that weathered SOM is more con- densed than the original material.},
Doi = {DOI: 10.1016/S0045-6535(02)00123-6},
File = {:Chemosphere/Cuypers et al_Chemosphere_2002.PDF:PDF},
ISSN = {0045-6535},
Keywords = {Organic matter domains, TGA; Pyrolysis; CPMAS 13 C-NMR},
Url = {http://www.sciencedirect.com/science/article/B6V74-45HFG25-2/2/defb8b480922721850f05c92499d3e52}
}
@Article{CzyzzakEtAl1998,
Title = {Pareto simulated annealing - a metaheuristic technique for multiple-objective combinatorial optimization},
Author = {Czyzżak, Piotr and Jaszkiewicz, Adrezej},
Journal = {Journal of Multi-Criteria Decision Analysis},
Pages = {34--47},
Volume = {7},
Year = {1998},
Number = {1},
Doi = {10.1002/(SICI)1099-1360(199801)7:1<34::AID-MCDA161>3.0.CO;2-6},
File = {CzyzzakEtAl1998.pdf:CzyzzakEtAl1998.pdf:PDF},
ISSN = {1099-1360},
Keywords = {multiple-objective combinatorial optimization, metaheuristic procedures},
Owner = {alessandro},
Publisher = {John Wiley \& Sons, Ltd.},
Timestamp = {27.06.2013},
Url = {http://dx.doi.org/10.1002/(SICI)1099-1360(199801)7:1<34::AID-MCDA161>3.0.CO;2-6}
}
@Misc{DAvello2012,
Title = {Multiresolution Index of Valley Bottom Flatness (MRVBF)},
Author = {Tom D'Avello},
Year = {2012},
File = {DAvello2012.pdf:DAvello2012.pdf:PDF},
Keywords = {saga gis;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21}
}
@Article{DadsonEtAl2003,
Title = {Links between erosion, runoff variability and seismicity in the Taiwan orogen},
Author = {Simon J. Dadson and Niels Hovius and Hongey Chen and W. Brian Dade and Meng-Long Hsieh and Sean D. Willett and Jyr-Ching Hu and Ming-Jame Horng and Meng-Chiang Chen and Colin P. Stark and Dimitri Lague and Jiun-Chuan Lin},
Journal = {Nature},
Pages = {648-651},
Volume = {426},
Year = {2003},
Abstract = {The erosion of mountain belts controls their topographic and structural evolution 1?3 and is the main source of sediment delivered to the oceans 4 . Mountain erosion rates have been estimated from current relief and precipitation, but a more complete evaluation of the controls on erosion rates requires detailed measurements across a range of timescales. Here we report erosion rates in the Taiwan mountains estimated from modern river sediment loads, Holocene river incision and thermochronometry on a million-year scale. Estimated erosion rates within the actively deforming mountains are high (3?6 mm yr 21 ) on all timescales, but the pattern of erosion has changed over time in response to the migration of localized tectonic deformation. Modern, decadal-scale erosion rates corre- late with historical seismicity and storm-driven runoff variabil- ity. The highest erosion rates are found where rapid deformation, high storm frequency and weak substrates coincide, despite low topographic relief.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://ntur.lib.ntu.edu.tw/bitstream/246246/172479/1/05.pdf}
}
@Manual{Dahl2012,
Title = {xtable: Export tables to LaTeX or HTML},
Author = {David B. Dahl},
Pages = {15},
Year = {2012},
Abstract = {Coerce data to LaTeX and HTML tables.},
File = {Dahl2012.pdf:Dahl2012.pdf:PDF},
Keywords = {latex; manual; R;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.20},
Url = {http://cran.r-project.org/web/packages/xtable/index.html}
}
@Article{DaiEtAl1999,
Title = {Applicability of solid-state 13 C CP/MAS NMR analysis in Spodosols: chemical removal of magnetic materials},
Author = {K?o H. Dai and Chris E. Johnson},
Journal = {Geoderma},
Pages = {289-310},
Volume = {93},
Year = {1999},
Abstract = {The presence of magnetic species, Fe in particular, decreases the effectiveness of nuclear magnetic resonance NMR analysis of soil organic matter SOM , especially in Spodosols. This study was conducted to evaluate the utility of dithionite, stannous chloride, and hydrofluoric acid 13 HF extraction for Fe removal and solid-state C NMR spectral enhancement in forested Spodosols. Extraction with 2% HF resulted in the greatest removal of Fe 45%?99% , while 4% wrv dithionite extraction was the least effective in removing Fe from the same soils 8%?54% The 2% HF treatment also removed the largest proportion of total C 12%?67% and total N 19%?66% . In five of the 10 mineral horizon soils studied, the CrN ratios changed more than 25% after HF treatment, suggesting that some alteration of bulk chemical composition occurred. The treatment had little effect on low-Fe samples because the quality of NMR spectra was similar between untreated and chemically treated organic horizon Oa soil samples. For soils high in Fe, as is typical in Spodosol mineral horizons, the 2% HF and the 0.05 M SnCl treatment showed 2 some spectral improvement but the results were inconsistent. 13 C NMR spectra for soil HF extracts indicated that carbohydrate and carboxyl C groups were preferentially removed in the extraction. Some quantitative changes of C distribution among various structures were observed after HF treatment, possibly indicating the alteration of organic matter during extraction. Several factors may contribute to the differences in the determination of various C groups by 13 C NMR spectroscopy before and after chemical treatment, including poor signal-to-noise SrN ratios, interactions between paramagnetic ions and different C moieties, preferential removal of some C groups by different chemicals, sideband interference, mass loss, and perhaps other factors. Based on our results, it seems premature to recommend routine chemical pretreatment as a means of improving 13 C NMR spectral quality.},
File = {:Geoderma/Dai & Johnson_Geoderma_1999.pdf:PDF},
Keywords = {Magnetic species; Nuclear magnetic resonance; Soil organic matter; Spodosols; Extraction; Chemical composition},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706199000725}
}
@Inproceedings{DallbelloEtAl2009,
Title = {Caracterização de Argissolos Bruno-Acinzentados na região do batólito de Pelotas ? RS e enquadramento na atual classificação brasileira de solos},
Author = {Flávia Nesello Dallbello and Márcio Ramos Botelho and Luiz Fernando Pinto and Ana Cláudia Lima},
Booktitle = {Anais do XVIII CIC},
Pages = {5},
Publisher = {Universidade Federal de Pelotas, Pelotas, RS},
Year = {2009},
Abstract = {O Escudo Sul-Rio-Grandense localiza-se na parte centro-sul do RS, sendo uma área geologicamente antiga (Pré-Cambriano), que apresenta grande diversidade de rochas ígneas, sedimentares e metamórficas. Na sua porção leste está situado o Batólito de Pelotas. Trata-se de uma unidade geotectônica composta principalmente por suítes graníticas associadas a uma variedade de xenólitos de rochas metamórficas de baixo a alto grau de metamorfismo (PHILIPP et al., 2000). Conforme IBGE (1986) são encontradas no Batólito de Pelotas duas unidades geomorfológicas: o planalto residual Canguçu-Caçapava do Sul, com altitudes em torno de 400 m (onde estão localizados os perfis analisados) e o planalto rebaixado marginal, posicionado altimetricamente entre 100 e 200 m. Em razão da grande diversidade geológica da região, os solos apresentam uma gênese complexa, evidenciada pela carência de trabalhos sobre o estudo de solos da região do Escudo Sul-Rio-Grandense. Conforme BRASIL (1973) e STRECK et. al (2008), os solos predominantes nesta região como unidades de mapeamento simples e/ou compostas são: Argissolo Vermelho-Amarelo Distrófico úmbrico e típico (unidades de mapeamento - UM Camaquã e Matarazo), Luvissolo Háplico Órtico típico (UM Bexigoso) e Neossolo Regolítico Distro-úmbrico típico ou léptico típico (UM Pinheiro Machado). Este trabalho teve como objetivoanalisar o enquadramento de cinco perfis de Argissolo Bruno-Acinzentado da região do Batólito de Pelotas na atual classificação brasileira de solos e contribuir com a incorporação de informações sobre ossolos da metade Sul do RS.},
Owner = {Administrador},
Timestamp = {2011.01.05},
Url = {http://www.ufpel.edu.br/cic/2009/cd/pdf/CA/}
}
@Inproceedings{DalmolinEtAl2006,
Title = {Relação solo-paisagem no Rebordo do Planalto do RS},
Author = {Dalmolin, R.S.D. and Pedron, F. A. and Klamt, E.},
Booktitle = {Anais da XVI Reunião Brasileria de Manejo e Conservação do Solo e da Água},
Pages = {4},
Publisher = {Sociedade Brasileira de Ciência do Solo},
Year = {2006},
Address = {Aracajú},
Abstract = {Estudos que buscam um melhor entendimento de solos devem considerar os atributos da paisagem. Áreas em que o relevo é muito acidentado, ocorre uma variabilidade muito grande de solos, em geral com baixa aptidão de uso. Este trabalho teve como objetivo buscar o entendimento da relação solo-paisagem, em áreas localizadas no Rebordo do Planalto do estado do Rio Grande do Sul, para fornecer subsídios científicos para manutenção e diversificação das atividades agroflorestais que favoreçam a utilização sustentável e redução dos riscos de degradação ambiental destes solos. Para representar a relação solo-paisagem demarcou-se transetos representativos em diferentes locais da área estudada, desde o ponto mais elevado área até o ponto mais baixo junto ao rio ou riacho representativo da área, caracterizando as superfícies: (1) ? topo; (2) ? rebordo; (3) ? coxilhas e (4) planícies aluviais. Nesta área, solos mais desenvolvidos como Nitossolos, Argissolos e Chernossolos foram achados em superfícies geomórficas mais estáveis como topo (superfície 1), terraços na superfície 2 e nas coxilhas onduladas e suaves onduladas na superfície 3. Solos menos desenvolvidos como os Neossolos Litólicos e os Cambissolos ocorrem em relevos mais acidentados (superfície 2). Planossolos e Gleissolos predominam nas planícies aluviais (superfície 4). O entendimento das relações entre solos e superfície geomórfica nesta área de estudo é requerimento básico para estabelecer a legenda para mapeamento de solos bem como para selecionar a escala do material básico cartográfico para levantamento de solos e estabelecer o planejamento racional de uso destas terras.},
File = {DalmolinEtAl2006a.pdf:Anais/DalmolinEtAl2006a.pdf:PDF},
Institution = {Sociedade Brasileira de Ciência do Solo},
Keywords = {dnos; rebordo do planalto; erosão;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Phdthesis{Dalmolin2002,
Title = {Matéria orgânica e características físicas, químicas, mineralógicas e espectrais de Latossolos de diferentes ambientes.},
Author = {Ricardo S.D. Dalmolin},
Pages = {151},
School = {Universidade Federal do Rio Grande do Sul, Porto Alegre},
Year = {2002},
Owner = {Alessandro},
Timestamp = {2011.01.03},
Url = {http://www.lume.ufrgs.br/bitstream/handle/10183/2777/000376297.pdf?sequence=1}
}
@Article{DalmolinEtAl2007,
Title = {A agricultura e a ciência do solo no Rio Grande do Sul},
Author = {Dalmolin, R. S. and Silva, Leandro Souza},
Journal = {Boletim Informativo da Sociedade Brasileira de Ciência do Solo},
Pages = {34-35},
Volume = {ago},
Year = {2007},
Owner = {Administrador},
Timestamp = {2011.01.11}
}
@Article{Dalmolin1999,
Title = {Faltam pedólogos no Brasil},
Author = {Dalmolin, R. S. D.},
Journal = {Boletim Informativo da Sociedade Brasileira de Ciência do Solo},
Pages = {13-15},
Volume = {24},
Year = {1999},
Owner = {pccli},
Timestamp = {2011.12.15}
}
@Article{DalmolinEtAl2006a,
Title = {Organic matter characteristics and distribution in {F}erralsol profiles of a climosequence in southern {B}razil},
Author = {R. S. D. Dalmolin and C. N. Gonçalves and D. P. Dick and H. Knicker and E. Klamt and I. Kögel-Knabner},
Journal = {European Journal of Soil Science},
Pages = {644-654},
Volume = {57},
Year = {2006},
Abstract = {equence in southern Brazil. We characterized the organic matter by solid-state cross-polarization magic angle spinning (CPMAS) 13C nuclear magnetic resonance (NMR) spectroscopy. The organic matter content in the Ferralsols increased from the lowest to the highest sites (440?950 m altitude) as a result of the increase in humidity and the decrease in temperature. This influence was more pronounced in the heavy clayey Ferralsols, suggesting that the accumulation of organic matter was enhanced by organo-mineral interactions. Iron oxides contributed to the stabilization of the organic matter in these soils, which was dominated by O?alkyl C structures followed by aromatic and alkyl C groups. The aromatic C contribution to the total organic C increases with depth at the expense of O?alkyl C, regardless of the site altitude and climate. Although the impact of the environment on the amount of organic matter and its chemical composition is confirmed, our results clearly show that this is so only for the surface horizons. With increasing soil depth the climatic influence decreased, showing that other factors become more important for the accumulation of organic matter.},
Doi = {10.1111/j.1365-2389.2005.00755.x},
File = {:European Journal of Soil Science/Dalmolin et al_Eur J Soil Sci_2006.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Techreport{DinizEtAl2008,
Title = {Solos do município de Silveira Martins: características, classificação, distribuição geográfica e aptidão agrícola},
Author = {Ricardo Simão Diniz Dalmolin and Egon Klamt and Daniel Rocha Cabral and Fabrício Araújo Pedron},
Pages = {73},
Year = {2008},
Institution = {Departamento de Solos, Centro de Ciências Rurais, Federal University of Santa Maria, Santa Maria, RS},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.19}
}
@Techreport{DalmolinEtAl2004,
Title = {Correspondência entre o Sistema Brasileiro de Classificação de Solos (Embrapa, 1999), WRB (ISSWG RB, 1998) e o Soil Taxonomy (USDA, 1999) para as principais unidades de solos do Rio Grande do Sul},
Address = {Santa Maria},
Author = {Ricardo Simão Diniz Dalmolin and Fabrício Araújo Pedron and Antônio Carlos Azevedo and Pablo Miguel and Ronei Sandri Sana},
Pages = {4},
Year = {2004},
File = {DalmolinEtAl2004.pdf:DalmolinEtAl2004.pdf:PDF},
Institution = {Centro de Ciências Rurais},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.01.14},
Url = {http://jararaca.ufsm.br/websites/classolos/download/Informes/Informe02.pdf}
}
@Techreport{DinizEtAl2003,
Title = {Levantamento semidetalhado de solos da microbacia do Arroio Lino - município de Agudo (RS)},
Address = {Santa Maria},
Author = {Ricardo Simão Diniz Dalmolin and Fabrício Araújo Pedron and Antonio Carlos and Azevedo and Ari Zago},
Pages = {88},
Year = {2003},
File = {DalmolinEtAl2003.pdf:techreport/DalmolinEtAl2003.pdf:PDF},
Institution = {Departamento de Solos, Centro de Ciências Rurais, Federal University of Santa Maria},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.19}
}
@Article{DanielsEtAl2001,
Title = {Quantitative methods for tradeoff analyses},
Author = {Jesse Daniels and Paul W. Werner and A. Terry Bahill},
Journal = {Systems Engineering},
Pages = {190-212},
Volume = {4},
Year = {2001},
Abstract = {Practicing engineers often find the tools and techniques used for investigating alternative system designs to be cumbersome or complicated. This article will show that these systems engineering tools and techniques are in fact quite simple and can provide critical insight into how stakeholder requirements drive the engineering design process. This helps ensure that customer requirements are satisfied throughout the entire system lifecycle and aids in reducing expensive design iterations due to poorly understood or poorly documented requirements. These goals are achieved by deriving figures of merit and combining them using standard scoring functions to steer efforts towards fulfilling the customer?s objectives early in the design process. Few papers in the literature capture the basic elements of tradeoff analyses in a way that entices the engineer to utilize the techniques. We have attempted to ameliorate this problem. Most of the practices presented in the literature are written from a decision analysis perspective. The success of such techniques is dependent on the expertise of the analyst in that several of the methods require considerable analyst experience for them to be employed effectively. This paper presents standardized methodologies for carrying out tradeoff analyses, which are applicable to a wide array of problems and also demonstrates that these techniques are relatively simple to use.},
File = {DanielsEtAl2001.pdf:Systems Engineering/DanielsEtAl2001.pdf:PDF},
Keywords = {exponential scoring functions},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.05}
}
@Article{DarkEtAl2007,
Title = {The modifiable areal unit problem ({MAUP}) in physical geography},
Author = {Dark, S. J. and Bram, D.},
Journal = {Progress in Physical Geography},
Pages = {471-479},
Volume = {31},
Year = {2007},
Month = {Oct},
Number = {5},
Abstract = {The term "scale" is used in this paper with several different meanings. This is not helpfull at all! The authors assume that environmental process are constrained to a limited area and that this area can and should be identified.},
Doi = {10.1177/0309133307083294},
File = {DarkEtAl2007.pdf:DarkEtAl2007.pdf:PDF},
ISSN = {0309-1333},
Keywords = {Analysis; Scale; Resolution; Support; DSM; Pedometrics;},
Publisher = {SAGE Publications}
}
@InCollection{DaroussinEtAl2006,
Title = {The Soil Geographical Database of Eurasia at Scale 1:1,000,000: History and Perspective in Digital Soil Mapping},
Author = {J. Daroussin and D. King and C. Le Bas and B. Vrscaj and E. Dobos and L. Montanarella},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {4},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {55 - 65, 602},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {In this Chapter, we describe the steps followed to build and improve the Soil Geographical Database of Eurasia at scale 1:1,000,000 and suggest automatic soil mapping techniques to improve it. The work started in 1952 with the compilation of materials provided by the contributing countries to publish the Soil Map of the European Communities at scale 1:1,000,000 in 1985. From then on, it was computerised, geo-referenced, structured to form a geographic database, enriched using archives of the original materials, extended geographically and thematically, harmonised over country borders, updated and documented. Despite this streamline of development and enhancements, it has limitations inherent to the initial objective of publishing a paper map and to the wide variety of views on soil mapping that were brought together from the community of contributors. The next logical step would thus be to improve the Soil Database by using existing detailed soil information and newly European-wide available satellite data and digital elevation models (DEMs). Existing soil maps at larger scale available in some parts of Europe could be used as training references to assess the morphometric (relief) and spectral characteristics of the Soil Mapping Units (SMUs) from DEM and satellite images, and the results extrapolated beyond to the surrounding areas and compared with the present delineation included in the 1:1,000,000 Soil Database. The Limousin Region of France was chosen as a test area but other geomorphologically diverse and representative areas in Europe should be included as well. This work is in progress but more partners will be needed in a collaborative project effort to establish a multi-scale European Soil Information System.},
Doi = {DOI: 10.1016/S0166-2481(06)31004-5},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-B/2/667bf90c26ff8c25c6b6b88c6a838481}
}
@Inproceedings{DartEtAl2010,
Title = {Digital soil mapping at Parque Estadual da Mata Seca, Minas Gerais state, Brazil: applying regression tree to predict soil classes},
Author = {R.O. Dart and M.R. Coelho and M.L. Mendonça-Santos and J.G. Pares and R.L.L. Berbara},
Booktitle = {Proceedings of the Fourth International Workshop on Digital Soil Mapping},
Year = {2010},
Address = {Rome},
Abstract = {The use of Digital Soil Mapping (DSM) to predict soil classes is an important issue to decrease costs and subjectivity of soil maps. The mainobjective of this study was to use DSM to produce soil maps of a relatively small area (about 100 km2) and compare it to a preliminary soilmap made by traditional techniques. The study area is located at north of Minas Gerais State, southwest of Brazil. In this study we used decisiontree classifier, See5, and 278 soil samples to predict soil class at order level of the Brazilian System of Soil Classification. We also diduseancillary data as Landsat ratios and variables of the topography. DSM didn’t show a good performance of soil prediction because basically three factors: (a) taxonomic similarity between Argissolos and Latossolos, (b) great spatial and attributes variability of Cambissolos thatoccurred in different landscapes types, and (c) low accuracy of soil prediction to Gleissolos, Neossolos and Cambissolos of the river plaindomainbecause its shows great environment complexity. Following works will make a better selection of environmental covariates,predict the soil classes in higher categorical level and assessment of quality of digital soil maps.},
File = {DartEtAl2010.pdf:DartEtAl2010.pdf:PDF},
Keywords = {mata seca; rede},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.19}
}
@Article{DavidEtAl1951,
Title = {The effect of non-normality on the power function of the F-test in the analysis of variance},
Author = {David, F. N. and Johnson, N. L.},
Journal = {Biometrika},
Pages = {43-57},
Volume = {38},
Year = {1951},
Number = {1/2},
Copyright = {Copyright © 1951 Biometrika Trust},
File = {DavidEtAl1951.pdf:Biometrika/DavidEtAl1951.pdf:PDF},
ISSN = {00063444},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Jun., 1951},
Language = {English},
Publisher = {Biometrika Trust},
Url = {http://www.jstor.org/stable/2332316}
}
@Article{DavidsonEtAl1993,
Title = {Estimating regional carbon stocks and spatially covarying edaphic factors using soil maps at three scales},
Author = {Davidson, E.A. and P.A. Lefebvre},
Journal = {Biogeochemistry},
Pages = {107-131},
Volume = {22},
Year = {1993},
Owner = {Administrador},
Timestamp = {2011.01.06},
Url = {http://www.springerlink.com/index/C4412G7606N827K1.pdf}
}
@Article{Davis1899,
Title = {The geographical cycle},
Author = {William M. Davis},
Journal = {The Geographical Journal},
Pages = {481-504},
Volume = {14},
Year = {1899},
Number = {5},
File = {Davis1899.pdf:Davis1899.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.28}
}
@Book{Davison2003,
Title = {Statistical Models (Cambridge Series in Statistical and Probabilistic Mathematics)},
Author = {A. C. Davison},
Publisher = {Cambridge University Press},
Year = {2003},
File = {Davison2003.pdf:Davison2003.pdf:PDF},
ISBN = {0521773393},
Keywords = {linear models; regression;},
Owner = {alessandro},
Url = {http://www.amazon.com/Statistical-Models-Cambridge-Probabilistic-Mathematics/dp/0521773393%3FSubscriptionId%3D0JYN1NVW651KCA56C102%26tag%3Dtechkie-20%26linkCode%3Dxm2%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0521773393}
}
@Article{DavisonEtAl2003,
Title = {An introduction to the bootstrap with applications in R},
Author = {A. C. Davison and Diego Kuonen},
Journal = {Statistical Computing and Statistical Graphics Newsletter},
Pages = {6-11},
Volume = {13},
Year = {2003},
Number = {1},
File = {DavisonEtAl2003.pdf:DavisonEtAl2003.pdf:PDF},
Keywords = {redemds; comparação de métodos},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.12},
Url = {http://www.statoo.com/en/publications/}
}
@Article{DeGruijterEtAl1997a,
Title = {Continuous soil maps - a fuzzy set approach to bridge the gap between aggregation levels of process and distribution models},
Author = {De Gruijter, J.J. and Walvoort, D.J.J. and Van Gams, P.F.M.},
Journal = {Geoderma},
Pages = {169-195},
Volume = {77},
Year = {1997},
Month = {Jun},
Number = {2-4},
Doi = {10.1016/s0016-7061(97)00021-9},
File = {DeGruijterEtAl1997a.pdf:DeGruijterEtAl1997a.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{DeReuEtAl2013,
Title = {Application of the topographic position index to heterogeneous landscapes},
Author = {De Reu, Jeroen and Bourgeois, Jean and Bats, Machteld and Zwertvaegher, Ann and Gelorini, Vanessa and De Smedt, Philippe and Chu, Wei and Antrop, Marc and De Maeyer, Philippe and Finke, Peter and et al.},
Journal = {Geomorphology},
Pages = {39-49},
Volume = {186},
Year = {2013},
Month = {Mar},
Doi = {10.1016/j.geomorph.2012.12.015},
File = {DeReuEtAl2013.pdf:DeReuEtAl2013.pdf:PDF},
Groups = {public},
Keywords = {topographic position index; DEM; pedometrics;},
Owner = {alessandro},
Publisher = {Elsevier }
}
@Article{DeVosEtAl2005,
Title = {Predictive quality of pedotransfer functions for estimating bulk density of forest soils},
Author = {De Vos, Bruno and Marc Van Meirvenne and Paul Quataert and Jozef Deckers and Bart Muys},
Journal = {Soil Science Society of America Journal},
Pages = {500-510},
Volume = {69},
Year = {2005},
Abstract = {Pedotransfer functions (PTFs) based on easily measured soil variables offer an alternative for labor-intensive bulk density (b) measurements. The predictive quality of 12 published PTFs was evaluated using an independent dataset of forest soils (1614 samples) from Flanders, Belgium. For all samples, PTF accuracy and precision was calculated, and for topsoil and subsoil samples separately. All functions were found to produce a systematic underestimation of predicted b, with mean prediction errors (MPEs) ranging between 0.01 and 0.51 Mg m3. Most PTFs performed differently when applied to topsoil or subsoil data. Prediction of topsoil b showed the highest prediction error. The evaluation demonstrated the poor performance of some published PTFs, and raised concern that the predictive ability of even the better models may not be adequate. Therefore, two candirdate PTFs were recalibrated and validated. With recalibration, accuracy improved considerably and showed a near-zero bias, but precision increased only slightly. The best fitted empirical model was based on loss-on-ignition (LOI): b 1.775 0.173(LOI)1/2. Its predictive capacity was not significantly better than the Adams physical two-component model b 100/{(LOI/0.312) [(100 LOI)/1.661]}. For the prediction of b in forest soils, LOI was two times more important than texture variables, and LOI alone accounted for 55% of the total variation. The lowest root mean squared prediction error (RMSPE) was 0.16 Mg m3 for LOI-based, and 0.21 Mg m3 for texture-based models. Separate calibration of topsoil and subsoil layers did not enhance the predictive capacity significantly.},
Doi = {10.2136/sssaj2005.0500},
File = {DeVosEtAl2005.pdf:DeVosEtAl2005.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{De.GryzeEtAl2008,
Title = {The relationship between landform and the distribution of soil C, N and P under conventional and minimum tillage},
Author = {Steven De.Gryze and Johan Six and Heleen Bossuyt and Kristof Van Oost and Roel Merckx},
Journal = {Geoderma},
Pages = {180-188},
Volume = {144},
Year = {2008},
Abstract = {The objective of this study was to examine the interactive effects of tillage and land forms (erodibility) on the redistribution of C, N and P within an agricultural landscape. Soils were sampled from an undulating maize field in central Belgium. Half of the field was under conventional tillage (CT), while the rest was under minimum tillage (MT) management. Based on slope and curvature characteristics, depositional and erodible zones were identified in both tillage treatments. We analyzed 400 surface (0?5 cm) soil samples, and 25 soil profiles (0?100 cm). Concentrations of native C, maize-derived C, total N, Olsen P, and moisture content in the 0?5 cm soil layer showed distinct spatial patterns with variogram ranges from 30 to 90 m. These patterns were related to local differences in texture and landform. In general, nutrient concentrations were greater in lower, depositional areas, and smaller in higher, erodible areas. In addition, the impact of landform was more pronounced in CT than MT. Three years after the implementation of the tillage treatments, native C, total N and Olsen P stocks (0?46 cm) in erodible zones were about 40% less under CT than under MT. However, in depositional zones, nutrient stocks were equal between the tillage treatments. Differences in erosion rates, the distribution of Olsen P and maize-derived C indicated that this pattern was mainly caused by soil transport induced by erosion since the implementation of the tillage treatments, rather than local differences in decomposition rates. We concluded that the influence of landforms on the stabilization and redistribution processes of nutrients is greater within CT than MT. Therefore, interactions between landform and agricultural management need to be considered in regional soil organic matter inventory assessments.},
Doi = {10.1016/j.geoderma.2007.11.013},
File = {:Geoderma/De Gryze et al_Geoderma_2008.pdf:PDF},
Keywords = {Erosion; Deposition; Tillage; Agriculture; Carbon; Soil nutrients},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Inbook{DebEtAl2014,
Title = {Multi-objective optimization},
Address = {New York},
Author = {Deb, Kalyanmoy},
Booktitle = {Search methodologies: introductory tutorials in optimization and decision support techniques},
Editor = {Edmund K. Burke and Graham Kendall},
Pages = {403-449},
Publisher = {Springer},
Year = {2014},
Month = {Jul},
Doi = {10.1007/978-1-4614-6940-7_15},
File = {DebEtAl2014.pdf:DebEtAl2014.pdf:PDF},
ISBN = {978-1-4614-6940-7},
Journal = {Search Methodologies},
Owner = {alessandro}
}
@Techreport{DefraEtAl2004,
Title = {Review of environmental and health effects of waste management: municipal solid waste and similar wastes},
Author = {Defra - Department for Environment, Food and Rural Affairs},
Pages = {420},
Year = {2004},
Institution = {University of Birmingham},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{DeGloria1993,
Title = {Visualizing soil behavior},
Author = {Stephen D. DeGloria},
Journal = {Geoderma},
Pages = {41 - 55},
Volume = {60},
Year = {1993},
Number = {1?4},
Abstract = {Soil behavior is a function of intrinsic soil properties, interacting environmental processes, and cultural practices. Observation, prediction, and visualization of soil behavior at variable spatial and temporal scales are required to enhance our understanding of complex soil processes and to develop optimal environmental management strategies. Recent advances in information technology, simulation modeling, and computer graphics provide opportunities to convey our knowledge and perception of soil behavior under variable environmental conditions and soil management regimes. Soil information is commonly presented in textual, map, and graphical forms which often fail to convey the dynamic nature of soil behavior under field conditions. Historical and contemporary developments in the presentation of soil information and behavior are reviewed, and a framework for soil visualization is proposed.},
Doi = {10.1016/0016-7061(93)90017-F},
File = {DeGloria1993.pdf:Geoderma/DeGloria1993.pdf:PDF},
ISSN = {0016-7061},
Url = {http://www.sciencedirect.com/science/article/pii/001670619390017F}
}
@Article{DekkersEtAl2012,
Title = {{G}aussian {Q}uadrature is an efficient method for the back-transformation in estimating the usual intake distribution when assessing dietary exposure},
Author = {Dekkers, A.L.M. and Slob, W.},
Journal = {Food and Chemical Toxicology},
Pages = {3853-3861},
Volume = {50},
Year = {2012},
Month = {Oct},
Number = {10},
Doi = {10.1016/j.fct.2012.06.044},
File = {DekkersEtAl2012.pdf:DekkersEtAl2012.pdf:PDF},
ISSN = {0278-6915},
Owner = {alessandro},
Publisher = {Elsevier BV},
Timestamp = {30.04.2015}
}
@Article{DelgadoEtAl2007,
Title = {The historic man-made soils of the Generalife garden (La Alhambra, Granada, Spain)},
Author = {R. Delgado and J. M. Martín-García and J. Calero and M. Casares-Porcel and J. Tito-Rojo and G. Delgado},
Journal = {European Journal of Soil Science},
Pages = {215-228},
Volume = {58},
Year = {2007},
Abstract = {We studied the soils of the Patio de la Acequia garden of the Generalife, a palatial villa forming part of La Alhambra, a World Heritage Site in Granada, Spain. This garden, which is estimated to be around 700 years old, is the oldest historical garden in the Western World. The soils are man-made cumulimollihumic-calcaric (hypereutric, anthric) Regosols. Noteworthy amongst the main pedogenic processes, in relation to the human activities of cultivation, irrigation and tillage, are horizonation, melanization (the contents of organic carbon varied between 0.59% and 8.87%, and those of P205 extracted with citric acid between 723 mg kg?1 and 7333 mg kg?1, with maximae in the Ap horizons) and structure formation. The soil fabric, studied at the ultramicroscopic level using scanning electron microscopy, is of laminar and partition-walls? type in the lower horizons, depending on the microped zones. The partition-walls? fabrics found are different to those of the possible pre-existing sedimentary fabrics. These are numerous lithological discontinuities and at least two burials, leading us to deduce that there have been two main stages of filling with materials in the formation of these soils. The first is Arabic-Medieval (13th century), when the garden was created, its surface being some 50 cm below the level of the paved area of the present patio. In the deeper parts, the materials employed in the fill are similar to the in situ soils of the zone, unaffected by the buildings. The second stage is Christian (15th century to the present day). During this period the Medieval garden was gradually buried under a layer of materials from the nearby soils and/or sediments mixed with manure until the surface was only just below the level of the paved area of the patio. In this work we discuss the difficult classification of these relatively little studied soils. In spite of their being clearly related to human activity, they are not classified as Anthrosols in the FAO system (1998) because soil materials cannot be classified as anthropopedogenic or as anthropogeomorphic.},
Doi = {10.1111/j.1365-2389.2006.00829.x},
File = {:European Journal of Soil Science/Delgado et al_Eur J Soil Sci_2007.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Manual{Delignette-MullerEtAl2010,
Title = {Use of the package fitdistrplus to specify a distribution from non-censored or censored data},
Author = {Marie Laure Delignette-Muller and Régis Pouillot and Jean-Baptiste Denis and Christophe Dutang},
Edition = {1},
Pages = {18},
Year = {2010},
Abstract = {Here you will ?nd some easy examples of use of the functions of the package fitdistrplus. The aim is to show you by examples how to use these functions to help you to specify a parametric distribution from data corresponding to a random sample drawn from a theoretical distribution that you want to describe. For details, see the documentation of each function, using the R help command (ex.: ?fitdist). Do not forget to load the package using the function library or require before testing following examples.},
File = {Delignette-MullerEtAl2010.pdf:manual/Delignette-MullerEtAl2010.pdf:PDF},
Owner = {Administrador},
Timestamp = {2011.01.28},
Url = {http://cran.r-project.org/web/packages/fitdistrplus/vignettes/intro2fitdistrplus.pdf}
}
@Manual{Delignette-MullerEtAl2010a,
Title = {fitdistrplus: help to fit of a parametric distribution to non-censored or censored data},
Address = {Viena},
Author = {Marie Laure Delignette-Muller and Regis Pouillot and Jean-Baptiste Denis and Christophe Dutang},
Pages = {29},
Publisher = {R Project},
Year = {2010},
Note = {R package version 0.1-3},
Abstract = {Extends the fitdistr function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation method the package provides moment matching, quantile matching and maximum goodness-of-fit estimation methods (available only for non censored data).},
File = {Delignette-MullerEtAl2010a.pdf:manual/Delignette-MullerEtAl2010a.pdf:PDF},
Url = {http://cran.r-project.org/web/packages/fitdistrplus/index.html}
}
@Article{DematteEtAl2003,
Title = {Influence of organic matter and iron oxides on the spectral reflectance of tropical soils},
Author = {José A.M. Demattê and José C.N. Epiphanio and Antonio Roberto Formaggio},
Journal = {Bragantia},
Pages = {451-464},
Volume = {62},
Year = {2003},
Abstract = {Este trabalho teve por objetivo analisar o efeito dos conteúdos de matéria orgânica e de ferro cristalino e amorfo na reflectância espectral de solos tropicais ocorrentes no Brasil, pela utilização de um espectrorradiômetro em condições de laboratório, na faixa espectral entre 400 e 2500 nm. Os solos estudados foram: a) Nitossolo Vermelho, designado como TR (Typic Argiudoll); b) Latossolo Vermelho Eutroférrico, LR (Typic Eutrorthox); c) Argissolo Vermelho, PE (Typic Argiudoll); d) Latossolo Vermelho, LE (Typic Haplortox), sudividido em três categorias de acordo com a textura; e) Neossolo Quartzarênico, AQ (Ty.pic Quartzipsamment) e f) Argissolo Vermelho-Amarelo, PV (Typic Paleudalf). Foram coletadas amostras superficiais e subsuperficiais, e analisadas quanto a características químicas, físicas e mineralógicas. As amostras de terra receberam quatro tratamentos químicos de dissolução seletiva: a) Testemunha; b) H2O2 para remoção de matéria orgânica; c) H2O2 + Oxalato Ácido de Amônio para remoção de matéria orgânica e de ferro amorfo; d) H2O2 e Ditionito-Citrato-Bicarbonato de Sódio para remoção de matéria orgânica, de ferro amorfo e de ferro cristalino. Esses tratamentos foram comparados utilizando suas respectivas curvas espectrais e simulação de dados do sensor TM (Thematic Mapper)/ Landsat. A remoção da matéria orgânica promoveu aumento da reflectância em todo o espectro analisado, para todos os solos. A remoção da matéria orgânica e do ferro amorfo causou aumento geral da reflectância para todos os solos, mas sem modificar o formato das curvas espectrais. A remoção do ferro cristalino provocou aumento da reflectância na região inicial do espectro (até 1.000 nm), mas não nas regiões intermediárias (entre 1.000 e 1.900 nm) e final do espectro (acima de 1.900 nm). O ferro cristalino mostrou-se responsável pelas concavidades formadas em 400 nm e em 850nm. Os dados orbitais simulados mostraram que é possível discriminar diferenças relativas à matéria orgânica e às formas de ferro. O uso de radiometria de laboratório mostrou-se uma técnica rápida, não destrutiva, e pouco exigente em preparo para analisar feições de absorção por ferro e efeitos de matéria orgânica em curvas especiais de solos.},
File = {DematteEtAl2003.pdf:Bragantia/DematteEtAl2003.pdf:PDF},
Keywords = {sensoriamento remoto, espectrorradiometria, bandas de absorção, fator de reflectância.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{Dematte2002,
Title = {Characterization and discrimination of soils by their reflected electromagnetic energy},
Author = {José Alexandre M. Demattê},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {1445-1458},
Volume = {37},
Year = {2002},
Abstract = {The objective of this work was to verify if reflected energy of soils can characterize and discriminate them. A spectroradiometer (Spectral reflectance between: 400-2,500 nm) was utilized in laboratory. The soils evaluated are located in Bauru region, SP, Brazil, and are classified as Typic Argiudoll (TR), Typic Eutrorthox (LR), Typic Argiudoll (PE), Typic Haplortox (LE), Typic Paleudalf (PV) and Typic Quartzipsamment (AQ). They were characterized by their spectral reflectance as for descriptive conventional methods (Brazilian and International) according to the types of spectral curves. A method for the spectral descriptive evaluation of soils was established. It was possible to characterize and discriminate the soils by their spectral reflectance, with exception for LR and TR. The spectral differences were better identified by the general shape of spectral curves, by the intensity of band absorption and angle tendencies. These characteristics were mainly influenced by organic matter, iron, granulometry and mineralogy constituents. A reduction of iron and clay contents, which influ- enced higher reflectance intensity and shape variations, occurred on the soils LR/TR, PE, LE, PV and AQ, on that sequence. Soils of the same group with different clay textures could be discriminated. The conventional descriptive evaluation of spectral curves was less efficient on discriminating soils. Simu- lated orbital data discriminated soils mainly by bands 5 and 7.},
Keywords = {remote sensing, infrared spectrophotometry, reflectance, absorbance.},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{DematteEtAl2010,
Title = {Soil density evaluated by spectral reflectance as an evidence of compaction effects},
Author = {J. A. M. Demattê and M. R. Nanni and A. P. Silva and Melo Filho, J. F. and W. C. Santos and R. C. Campos},
Journal = {International Journal of Remote Sensing},
Pages = {403-422},
Volume = {31},
Year = {2010},
Number = {2},
File = {DematteEtAl2010.pdf:DematteEtAl2010.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.18},
Url = {http://dx.doi.org/10.1080/01431160902893469}
}
@Article{DematteEtAl1991,
Title = {Estimativa da evolução do intemperismo mediante ganhos e perdas de íons numa sequência de solos desenvolvidos de diabásico e influenciados pela drenagem em Piracicaba, SP},
Author = {J L I Demattê and A Marconi and G Sparovek and P Vidal-Torrado},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {69-73},
Volume = {15},
Year = {1991},
Keywords = {intemperismo, ganhos e perdas de cátions, drenagem, diabásio, velocidade de lixiviação em solos},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVMjZhYTcxNmItZjYzZi00YmEyLWJkNDgtNThiMWRlMWQ0Mjcy&hl=en&authkey=COfex6wE}
}
@Article{DenefEtAl2004,
Title = {Carbon sequestration in microaggregates of no-tillage soils with different clay mineralogy},
Author = {Karolien Denef and Johan Six and Roel Merckx and Keith Paustian},
Journal = {Soil Science Society of America Journal},
Pages = {1935-1944},
Volume = {68},
Year = {2004},
Abstract = {Identification of diagnostic soil organic matter (SOM) fractions and the mechanisms controlling their formation and turnover is critical for better understanding of C dynamics in soils. Enhanced microaggregate formation and stabilization of C due to reduced macroaggregate turnover has been proposed as a mechanism promoting C sequestration in no-tillage (NT) compared with conventional tillage (CT) systems in temperate soils dominated by 2:1 clay mineralogy. We evaluated the contribution of macroaggregate-protected microaggregates to total soil organic carbon (SOC) sequestration in NT relative to CT in three soils differing in clay mineralogy: a 2:1 clay-dominated soil (2:1), a soil with mixed clay mineralogy [2:1 and 1:1] and oxides (mixed), and a soil dominated by (1:1) clay minerals and oxides (1:1). Microaggregates (mM) were isolated from macroaggregates from 0- to 5- and 5- to 20-cm soil layers. Particulate organic matter (POM) located within the microaggregates (intra-mM-POM) was separated from POM outside of the microaggregates (inter-mM-POM) and the mineral fraction of the microaggregates (mineral-mM). In all three soils, total SOC as well as microaggregate-associated C (mM-C) was greater with NT compared with CT. Although less than half of the total SOC under NT was associated with the microaggregate fraction, more than 90% of the total difference in SOC between NT and CT was explained by the difference in mM-C in all three soils. Thus, we identified and isolated a fraction that explains almost the entire difference in total SOC between NT and CT across soils characterized by drastically different clay mineralogy.},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {https://www.agronomy.org/publications/sssaj/pdfs/68/6/1935}
}
@Article{Deng2007,
Title = {New trends in digital terrain analysis: landform definition, representation, and classification},
Author = {Yongxin Deng},
Journal = {Progress in Physical Geography},
Pages = {405-419},
Volume = {31},
Year = {2007},
Abstract = {This article provides an ontological as well as methodological evaluation of recent progress in terrain analysis. It focuses on six topographic factors, or existences, that are important in characterizing the biophysical functions of topography: elevation, surface shape, topographic position, topographic context, spatial scale, and landform object. Terrain analysis approaches are assessed according to what they really deal with, as well as how they work. Important trends are consequently identi? ed, in which spatial scale plays critical but non-uniform roles. An index-based approach to the compound function of multiple topographic existences is recognized as successful in modelling surface/subsurface moisture and mass movement potential, but not mountain temperature. A classi? cation scheme categorises de? ned landforms in the literature according to the way they exist in human knowledge rather than their morphological properties and derivation methods. Five categories are outlined: bona ? de objects, prototypical objects, ? at objects, landform classes, and multiscale objects. Peak object delineation is lastly assessed as an example demonstrating some of the recent trends in terrain analysis. Representations of higher-scale landscape context are identi? ed to have great potential of linking vastly different spatial scales, as well as bridging ?eld- versus object-based treatments of the terrain surface.},
File = {Deng2007.pdf:Deng2007.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.26}
}
@Article{DengEtAl2007,
Title = {DEM resolution dependencies of terrain attributes across a landscape},
Author = {Deng, Y. and Wilson, J. P. and Bauer, B. O.},
Journal = {International Journal of Geographical Information Science},
Pages = {187-213},
Volume = {21},
Year = {2007},
Number = {2},
Doi = {10.1080/13658810600894364},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/13658810600894364},
File = {DengEtAl2007.pdf:DengEtAl2007.pdf:PDF},
Keywords = {redemds}
}
@Article{DengEtAl2006,
Title = {The role of attribute selection in GIS representations of the biophysical environment},
Author = {Deng, Y. X. and Wilson, J. P.},
Journal = {Annals of the Association of American Geographers},
Pages = {47-63},
Volume = {96},
Year = {2006},
Number = {1},
Abstract = {This article questions the arbitrary selection of input attributes for the definition of landform classes and other fiat objects that are used to represent the biophysical environment in geographic information science. It suggests that attribute selection influences the characterization of both geographic and attribute space in these applications. Hence digital elevation model-based fuzzy c-means landform classification relies on sensible selection of terrain attributes to generate fuzzy landform classes (memberships) with biophysical meanings. A case study employed several sets of sensitivity tests and evaluated how selections of terrain attributes may affect the outputs of fuzzy c-means landform classifications. The results showed an average classification difference of 37 percent when different numbers of attributes are used and 18 percent when similar terrain attributes are swapped. Effects of attribute selection also show obvious dependence on spatial resolution and number of classes. These results indicate that the current approach of selecting terrain attributes (not only for landform classifications but also for other applications) according to tacit expert knowledge needs to be better justified. Because the fuzzy c-means classification method is essentially data-driven, the adoption of an exploratory approach as a part of this method is crucial. Such an approach may help to identify membership distributions (and corresponding classifications) that summarize the correspondence between landforms and specific biophysical patterns.},
Doi = {10.1111/j.1467-8306.2006.00498.x},
File = {DengEtAl2006.pdf:Annals of the Association of American Geographers/DengEtAl2006.pdf:PDF},
ISSN = {1467-8306},
Keywords = {attribute selection, environmental modeling, fuzzy c-means landform classification; redemds},
Publisher = {Blackwell Publishing Inc},
Url = {http://dx.doi.org/10.1111/j.1467-8306.2006.00498.x}
}
@Article{DerksenEtAl1992,
Title = {Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variables},
Author = {Derksen, Shelley and Keselman, H. J.},
Journal = {British Journal of Mathematical and Statistical Psychology},
Pages = {265–282},
Volume = {45},
Year = {1992},
Month = {Nov},
Number = {2},
Doi = {10.1111/j.2044-8317.1992.tb00992.x},
ISSN = {0007-1102},
Keywords = {stepwise; degrees of freedom;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell},
Url = {http://dx.doi.org/10.1111/j.2044-8317.1992.tb00992.x}
}
@Article{DescroixEtAl2008,
Title = {Gully and sheet erosion on subtropical mountain slopes: their respective roles and the scale effect},
Author = {L. Descroix and J. L. González Barrios and D. Viramontes and J. Poulenard and E. Anaya and M. Esteves and J. Estrada},
Journal = {Catena},
Pages = {325-339},
Volume = {72},
Year = {2008},
Abstract = {As most mountains in tropical and subtropical zones, the Western Sierra Madre suffers active present erosion, which may create some constraints to the social and economic development in the area. The objectives of this study of soil degradation in the Western Sierra Madre, are to determine the respective roles of gully and sheet erosion. This research is based on field observations, field measurements of runoff and, soil losses at the plot, as well as the watershed scales as an analysis of an exhaustive census of the few gullies located in an experimental area. Measured soil losses in the Western Sierra Madre are high although there are few gullies. Most of the sediment yield seems to originate in widespread degraded areas where stoniness is the main evidence of a previous stage of erosion. Previously overgrazing and deforestation were determined as the factors of the appearance of new soil surface characteristics which explain the high runoff and sediment productions. The soil compacted by cattle trampling reduces infiltration. The decrease of the vegetation cover triggers a rise in the splash effect and thus, a soil sealing. These processes induce an increase in runoff and soil losses. The main erosion type has been described as sheet erosion: it is characterised by the removal of fine soil particles and the remains of gravels, pebbles and blocks, which constitute a pavement on the soil. Gullies generally appear on the bottom of wide valleys and depressions, where soils are thick. It is shown that sheet erosion is two orders of magnitude higher than gully erosion at the hillslope scale. Due to the spatial distribution of land use and the geological context such as the heavily degraded areas close to the main rivers, the reduction of runoff and soil loss rates within the extension of a considered area, commonly observed in hydrology, only applies up to the elementary catchments scale (1 to 50 km 2 ). Above this area, runoff coefficient and soil loss rates increase.},
Doi = {10.1016/j.catena.2007.07.003},
File = {DescroixEtAl2008.pdf:Catena/DescroixEtAl2008.pdf:PDF},
Keywords = {Overgrazing; Soil surface features; Sheet erosion; Gully erosion; Land use changes; Western Sierra Madre},
Owner = {Alessandro Samuel Rosa},
Timestamp = {26.07.2010}
}
@Article{DescroixEtAl2001,
Title = {Influence of soil surface features and vegetation on runoff and erosion in the Western Sierra Madre (Durango, Northwest Mexico)},
Author = {L. Descroix and D. Viramontes and M. Vauclin and J L Gonzalez Barrios and M. Esteves},
Journal = {Catena},
Pages = {115-135},
Volume = {43},
Year = {2001},
Abstract = {In mountainous areas, runoff and soil erosion are closely linked to soil surface features, particularly stoniness. Depending on the size of rock fragments gravel, pebbles, stones andror . blocks and especially the way they are integrated into the soil matrix, they may facilitate or hinder infiltration and promote soil losses. The present study examines the role of different soil surface features and their influence on runoff formation and on soil erosion in an area seriously affected by overgrazing. Based on measurements made on hillslopes for 2 years at the plot scale, the results show that grass cover, pebbles and sand content increase runoff and erosion. Inversely, slope value, tree cover percentage, structural stability and organic matter content are negatively correlated with runoff and soil losses. It is shown that the correlations can be explained by the major role played by the surface features on hydrologic behaviour of the hillslopes. Two main surface features were identified and . hydraulically characterised, namely: i crusted surfaces with embedded gravel widespread on . gentle slopes which induce high runoff and erosion rates; and ii stony surfaces, where free pebbles and blocks protect the top soil against raindrops and overland flow kinetic energy and lead to reduce runoff and soil losses.},
File = {DescroixEtAl2001.pdf:Catena/DescroixEtAl2001.pdf:PDF},
Keywords = {Runoff; Soil losses; Western Sierra Madre; Overgrazing; Crusted soils; Hydraulic properties},
Owner = {Alessandro Samuel Rosa},
Timestamp = {26.07.2010},
Url = {http://horizon.documentation.ird.fr/exl-doc/}
}
@Article{Desmet1997,
Title = {Effects of interpolation errors on the analysis of dems},
Author = {P. J. J. Desmet},
Year = {1997},
File = {Desmet1997.pdf:Desmet1997.pdf:PDF},
Keywords = {DEM Interpolation;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Article{DeusEtAl2004,
Title = {Índice de impacto dos resíduos sólidos urbanos na saúde pública (IIRSP): metodologia e aplicação},
Author = {A.B.S. Deus and S.J. Luca and R.T. Clarke},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {329-334},
Volume = {9},
Year = {2004},
File = {:Engenharia Sanitária e Ambiental/Deus et al_Eng Sanit Ambient_2004.pdf:PDF},
Keywords = {Resíduos sólidos, indicadores, índice de impacto dos resíduos sólidos urbanos na saúde pública (IIRSP).},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.scielo.br/pdf/esa/v9n4/v9n4a09.pdf}
}
@Article{DevilleEtAl2004,
Title = {Efficient balanced sampling: the cube method},
Author = {Jean-Claude Deville and Yves Tillé},
Journal = {Biometrika},
Pages = {893-912},
Volume = {91},
Year = {2004},
Month = {Dec},
Number = {4},
File = {DevilleEtAl2004.pdf:DevilleEtAl2004.pdf:PDF},
Owner = {alessandro},
Timestamp = {30.04.2015},
Url = {http://www.jstor.org/stable/20441151}
}
@Article{Dexter1988,
Title = {Advances in characterization of soil structure},
Author = {A R Dexter},
Journal = {Soil and Tillage Research},
Pages = {199-238},
Volume = {11},
Year = {1988},
Abstract = {Soil structure is defined as ?the spatial heterogeneity of the different components or properties of soil?. Aspects of soil structure which are important for plant development, soil water balance and soil workability are reviewed briefly. The different types of soil structure which occur on different size scales are placed in a hierarchical order. Different mechanisms give rise to the different hierarchical orders. Similarly, different physical/chemical/biological processes are involved in the stabilization of the different hierarchical orders. A number of methods for measuring soil structure are described. Preference is given to methods involving direct observation of structural features by scanning electron microscopy and by optical scanning of impregnated sections and fracture surfaces. These need to be supported by assessments of the stabilities of compound particles in water and of the mechanical strengths of compound particles as a function of water content. ?Good? soil structure is described as one where all the hierarchical orders are well-developed and stable. The greatest lack of knowledge appears to be in the 2?100 ?m size range which is too large to have been studied by colloid chemists and too small to be visible to the naked eye. It is suggested that more observations of soil structure should be made in this size range, as it may hold many important clues on how to manage soil structure in the field.},
Doi = {10.1016/0167-1987(88)90002-5},
File = {Dexter1988.pdf:Dexter1988.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Electronic{Dias2012,
Title = {Embrapa Solos recebe público internacional em curso para Mapeamento Digital de Solos},
Address = {Rio de Janeiro},
Author = {Carlos Dias},
HowPublished = {Online},
Language = {pt-BR},
Month = {10},
Organization = {Embrapa Solos},
Url = {http://www.cnps.embrapa.br/noticias/},
Year = {2012},
Keywords = {redemds;},
Owner = {lgcs-mds},
Timestamp = {2013.04.02}
}
@Electronic{Dias2011,
Title = {Mapeamento digital de solos se organiza no Brasil},
Author = {Dias, C.},
Month = {December},
Organization = {Embrapa - Solos},
Url = {http://goo.gl/1lnf5},
Year = {2011},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.14}
}
@Mastersthesis{Dias2003,
Title = {Aplication of the {AGNPS}2001 utilizing observed data in the {V}acacaí-{M}irim {R}iver watershed},
Address = {Santa Maria},
Author = {Janaína Rios Dias},
Pages = {118},
School = {Graduate School in Civil Engineering, Federal University of Santa Maria},
Year = {2003},
File = {Dias2003.pdf:dissertação/Dias2003.pdf:PDF},
Keywords = {dnos; redemds},
Owner = {pccli},
Timestamp = {2012.02.02},
Url = {http://www.dcs.ufla.br/}
}
@Article{Dias.JuniorEtAl1996,
Title = {O processo de compactação do solo e sua modelagem},
Author = {M De S Dias.Junior and F J Pierce},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {175-182},
Volume = {20},
Year = {1996},
Keywords = {compactação do solo, pressão de preconsolidação, história de tensão, modelagem, propriedades físicas e mecânicas do solo},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Manual{DiazRamosEtAl1996,
Title = {EMAP Statistical Methods Manual},
Address = {Corvallis},
Author = {Susan Diaz-Ramos and Don L. Stevens and Anthony R. Olsen},
Publisher = {U.S. Environmental Protection Agency},
Year = {1996},
Note = {(EPA/620/R-96/XXX)},
Abstract = {The Statistical Methods Manual documents statistical analysis methods applicable to data collected by the Environmental Monitoring and Assessment Program (EMAP). The methods described give procedures to estimate the current status of ecological resources that are appropriate for survey designs implemented by EMAP. The methods apply to analyses of EMAP regional demonstration studies and R-EMAP studies. Sufficient information is given to enable a user to determine if the method is appropriate for the survey design used in these studies. Additional methods will be added as appropriate to include updated analyses procedures or to cover additional EMAP or R-EMAP studies. The audience for the manual are statisticians or scientists with a reasonable background in statistics. The calculations are detailed so that a scientific computer programmer can implement the methods.},
Keywords = {survey design, cumulative distribution estimation, status estimation, ecological monitoring, U.S. EPA-EMAP},
Owner = {alessandro},
Timestamp = {22.11.2013}
}
@Article{DickEtAl1998,
Title = {Caracterização de substâncias húmicas extraídas de solos e de lodo orgânico},
Author = {Deborah Pinheiro Dick and J Gomes and P B Rosinha},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {603-611},
Volume = {22},
Year = {1998},
Abstract = {No presente trabalho, foi estudada a extração de substâncias húmicas (SH) de horizontes A de dois solos do Rio Grande do Sul (Latossolo Roxo (LR), e Brunizém vértico (B)) e de um lodo orgânico (LO), oriundo da fabricação de celulose, empregando-se dois métodos: (1) as SH foram extraídas com solução de NaOH 0,5 mol L -1 , após tratamento prévio com HCl 0,5 mol L -1 ; (2) foi introduzida a extração com solução de pirofosfato de sódio 0,15 mol L -1 (pH 7) antes da etapa alcalina. Em cada etapa, os teores de SH, de ácidos fúlvicos (AF) e de ácidos húmicos (AH) foram determinados por métodos espectroscópicos e gravimétricos e, no método 2, os teores de Fe, Al, Si e Ca foram medidos nos extratos por absorção atômica. A composição elementar de ácidos húmicos foi determinada, e sua estrutura e características químicas foram avaliadas a partir de razões C/N, (atômicas) H/C e O/C e a partir de dados de espectroscopia Ultravioleta/Visível (UV/Vis). No LR, o método 1 extraiu maior quantidade de SH, enquanto, no método 2, a etapa com pirofosfato extraiu apenas AF. Em contrapartida, no solo B, o método 2 foi mais eficiente, verificando-se maior rendimento na etapa com pirofosfato. A partir desses resultados, infere-se que as SH, no LR, interagem principalmente por meio de reação de trocas de ligantes e de pontes de hidrogênio e, no solo B, a interação por meio de pontes de cátions é um mecanismo importante. Os AH extraídos com NaOH apresentaram valores mais elevados para a razão H/C e valores inferiores para a razão O/C do que os extraídos com pirofosfato, indicando que o extrator neutro solubilizou SH de caráter aromático e grau de oxigenação superiores.},
Keywords = {extração neutra, extração alcalina, espectroscopia UV/Vis},
Owner = {Alessandro Samuel Rosa},
Timestamp = {22.07.2010},
Url = {http://sbcs.solos.ufv.br/solos/revistas/v22n4a05.pdf}
}
@Article{DickEtAl2005,
Title = {Characteristics of soil organic matter of different Brazilian Ferralsols under native vegetation as a function of soil depth},
Author = {Deborah Pinheiro Dick and Cristiano Nunes Gonçalves and Ricardo S.D. Dalmolin and Heike Knicker and Egon Klamt and Ingrid Kögel-Knabner and Marcelo L. Simões and Ladislau Martin-Neto},
Journal = {Geoderma},
Pages = {319-333},
Volume = {124},
Year = {2005},
Abstract = {Organic matter plays a major role in the chemical and physical attributes of highly weathered soils usually found in tropical and subtropical regions. In the present work, soil organic matter (SOM) of six representative Brazilian Ferralsol profiles was examined by chemical analyses, solid state 13 C and 15 N nuclear magnetic resonance (NMR) spectroscopy and electron spin resonance (ESR) spectroscopy. The HF treatment, realized with the soil samples prior to the spectroscopic analysis, promoted both C and N enrichment, and no selective dissolution of specific C-compounds was identified. The recovery of C and N ranged between 47% and 66% in the A horizon and decreased pronouncedly with depth. The solubility of SOM after HF treatment, especially in deeper horizons, was related to its occurrence in organo-mineral associates. The results obtained by 13 C NMR revealed that the SOM of A horizons of the Brazilian Ferralsols is characterized by a considerable amount of O-alkyl (29?38%), followed by lower proportions of alkyl (24?30%) and aromatic structures (10?14%). The organic nitrogen occurred mainly as amide, as indicated by the 15 N NMR analysis. A similar pattern was exhibited by the SOM of lower horizons. The C/N ratio varied between 8 and 21 and tended to decrease with depth. The same trend was found for the semiquinone-type free radicals concentrations, determined by ESR spectroscopy. The occurrence of a SOM showing a medium decomposition degree containing structures of low chemical recalcitrance points to a stabilization of organic matter mainly through surface interactions with iron oxides and kaolinite.},
Doi = {10.1016/j.geoderma.2004.05.008},
File = {:Geoderma/Dick et al_Geoderma_2004.pdf:PDF},
Keywords = {13 C and 15 N NMR spectroscopy; ESR spectroscopy; Organo-mineral complex; Soil organic matter; Ferralsol},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{DickEtAl2006,
Title = {Organic matter in constructed soils from a coal mining area in southern Brazil},
Author = {Deborah P. Dick and Heike Knicker and Leticia G. Ávila and Alberto V. Inda.Jr. and Elvio Giasson and Carlos A. Bissani},
Journal = {Organic Geochemistry},
Pages = {1537-1545},
Volume = {37},
Year = {2006},
Abstract = {In southern Brazil, the landscape restoration after the exhaustion of open cast coal mines involves the ?lling of mine cavities with both pedogenic and geological material. The objective of this work was to determine the content and chemical composition of the organic matter of two constructed soils (24 years and 2 years) in a coal mining area in southern Brazil. An undisturbed Acrisol and geological material from three sites were also sampled. Samples were analyzed for carbon and nitrogen contents by dry combustion and for chemical composition of the organic matter by 13 C NMR CPMAS and FTIR spectroscopies. Prior to the spectroscopic analyses, the samples were treated with 10% (m/m) hydro?uoric acid solution, which lead to a carbon enrichment in the sample of 2?46 times. The three coal samples were mainly composed of aromatic C (46?63%) and alkyl C (10?28%), and di?ered largely in the carbon content (18?312 g kg 1 ). The C/N ratio of 27 and the proportions of O-alkyl C (26%) and aromatic C (29%) found in the native soil (18 g C kg 1 soil) suggest a coal contam- ination of the native site. The proportions of O/N-alkyl C (15?17%), alkyl C (22?23%) and aromatic C (39?41%) observed in the organic matter of the A1 horizon of the two constructed soils were intermediate to those of the coal samples and the native soil. In the younger constructed soil the proportion of O/N-alkyl diminished and that of aromatic C increased with depth, whereas in the older constructed soil this trend was less evident. Our results show that, during the 24 years after site reconstruction, the input of vegetation residues diluted the proportion of recalcitrant organic matter. The aromaticity index calculated from the FTIR data (I 1620 /I 2920 ) correlated positively with the aryl C/alkyl C ratio, obtained from the NMR data, evidencing the applicability of the FTIR index for geological and coal contaminated samples.},
Doi = {10.1016/j.orggeochem.2006.06.017},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{DickEtAl2008,
Title = {Impact of burning on soil chemical attributes and organic matter composition and on vegetation},
Author = {Deborah Pinheiro Dick and Rosane Martinazzo and Ricardo S.D. Dalmolin and Aino V.Á. Jacques and João Mielniczuk and Alessandro Samuel-Rosa},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {633-640},
Volume = {43},
Year = {2008},
Month = {May},
Number = {5},
Abstract = {The objective of this study was to evaluate the residual effect of periodic burning on soil chemical attributes, composition of soil organic matter, and on vegetation of a Hapludox. Samples from three environments were studied: native pasture under grazing, without burning and shortening (NP); native pasture under grazing and burning (BP); and native forest (NF) adjacent to the pasture area. Soil samples were collected in four layers: 0?5, 0?20, 20?40 and 40?60 cm, in which fertility attributes and contents of C and N were determined, and analyses of Fourier transform infrared spectroscopy (FTIR) were performed. Samples from the above ground vegetation from these environments were analyzed through elemental analyses and FTIR. Pasture burning reduced soil contents of N, Mg and K, and increased Al saturation in soil, in comparison to NP soil. Nutrient contents were smaller in the soil samples under forest, when compared to NP, while C and N contents and Al saturation were greater. The aromatic character of soil organic matter did not differ among the studied environments, and increased with depth in all environments. In comparison to NP, BP vegetation had a lower N content and a greater proportion of Si groups. The forest vegetation contained more N and showed higher aromaticity than the pasture vegetation.},
Keywords = {aromaticity, elemental composition, FTIR, native forest, pasture},
Owner = {Administrador},
Timestamp = {2011.01.20}
}
@Article{Dickinson2000,
Title = {Strategies for sustainable woodland on contaminated soils},
Author = {N.M. Dickinson},
Journal = {Chemosphere},
Pages = {259-263},
Volume = {41},
Year = {2000},
File = {:Chemosphere/Dickinson_Chemosphere_2000.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0045653599004191}
}
@Article{DieckowEtAl2009,
Title = {Land use, tillage, texture and organic matter stock and composition in tropical and subtropical Brazilian soils},
Author = {J. Dieckow and C. Bayer and P. C. Conceição and J. A. Zanatta and L. Martin-Neto and D. B. M. and J. C. Salton and M. M. Macedo and J. Mielniczuk and L. C. Hernani},
Journal = {European Journal of Soil Science},
Pages = {240-249},
Volume = {60},
Year = {2009},
Abstract = {We examined the influence of land use change, tillage system and soil texture on organic carbon (C) stocks and on organic matter composition of tropical and subtropical soils from Brazil at four long-term experiments (11?25 years) based on fine- and coarse-textured soils. Soil samples were collected from the 0?5, 5?10 and 10?20 cm layers of conventional tillage (CT) and no-till (NT) plots, and of the adjoining soil under native vegetation (NV) of Cerrado (tropical) or grassland (subtropical). Conversion of NV to CT resulted in losses of 7?29% of the original C stock of 0?20 cm; conversion to NT increased this C stock by 0?12% compared with CT.Organic matter composition of the 0?5 cmlayer, assessed by solid state CPMAS-13C-NMR, ESR and laser induced fluorescence spectroscopies, was affected by land use and tillage systems. Conversion of NV to CT decreased O-alkyl and increased aromatic, carbonyl, aromatic/O-alkyl ratio, free radicals concentration and fluorescence signal. The opposite trend was observed when NT replaced CT. The relative losses and gains of C and qualitative changes resulting from land use and tillage were less evident in fine- than in coarse-textured soils, suggesting a greater resistance and a smaller resilience of fine- compared with coarse-textured soils. The direct relation between increase in C stock and increase in potentially labile moieties (e.g. O-alkyl) and the decrease in more recalcitrant moieties (e.g. aromatics) in NT soils suggests that spatial inaccessibility by aggregates is playing a major role, compared with selective preservation, in promoting C accumulation in NT soils.},
File = {:European Journal of Soil Science/Dieckow et al_Eur J Soil Sci_2009.pdf:PDF},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@InCollection{DietrichEtAl2008,
Title = {Cold Air Production and Flow in a Low Mountain Range Landscape in Hessia (Germany)},
Author = {Helge Dietrich and Jürgen Böhner},
Booktitle = {SAGA - Seconds Out. Hamburg Contributions to Physical Geography and Landscape Ecology},
Publisher = {University of Hamburg},
Year = {2008},
Address = {Hamburg},
Edition = {1},
Editor = {Böhner, J. and Blaschke, T. and Montanarella, L.},
Pages = {37-48},
Abstract = {This paper presents methods for analysing the impacts of different terrain parameters on cold air production, flow and cold air accumulation. Thesemethods have been tested using a Digital Terrain Model (DTM) in combination with point source nocturnal temperature data observed during autochthonous calm and clear weather conditions. The gently undulated test site Melsungen in Northern Hessia features 130 singleobservation points representing a range of different morphological situations. Assuming the terrain reveals a seasonal varying influence on nocturnal air temperature patterns near ground, a comparative study was carried out between the meteorological transitional period showing active vegetation cover and the colder season without any active vegetation cover. Using stepwise multiple linear regression analysis, different terrain parameters have been tested. The results reveal changing influences of terrain attributes on nocturnal air temperaturepattern depending on seasonal variations of vegetation cover. During the transitional period, a maximum variance of 55 % is explained by a combination of different terrain parameters and in the colder season even up to 68 %.},
File = {DietrichEtAl2008.pdf:DietrichEtAl2008.pdf:PDF},
Keywords = {saga gis; slope height; mid-slope position;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.25},
Url = {http://ftp.heanet.ie/mirrors/sourceforge/s/project/sa/saga-gis/SAGA%20-%20Documentation/HBPL19/}
}
@Article{Dietterich2000,
Author = {Dietterich, Thomas G.},
Journal = {Machine Learning},
Pages = {139-157},
Volume = {40},
Year = {2000},
Number = {2},
Doi = {10.1023/a:1007607513941},
File = {Dietterich2000.pdf:Dietterich2000.pdf:PDF},
ISSN = {0885-6125},
Keywords = {Random; Forest;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{DietzEtAl2007,
Title = {Driving the human ecological footprint},
Author = {Thomas Dietz and Eugene A Rosa and Richard York},
Journal = {Frontiers in Ecology and the Environment},
Pages = {13-18},
Volume = {5},
Year = {2007},
File = {DietzEtAl2007.pdf:Frontiers Ecology Environment/DietzEtAl2007.pdf:PDF},
Owner = {pccli},
Timestamp = {2011.12.29},
Url = {http://steadystate.org/wp-content/uploads/}
}
@Article{DiggleEtAl2006,
Title = {Bayesian geostatistical design},
Author = {Diggle, Peter and Lophaven, Soren},
Journal = {Scandinavian Journal of Statistics},
Pages = {53-64},
Volume = {33},
Year = {2006},
Month = {Mar},
Number = {1},
Doi = {10.1111/j.1467-9469.2005.00469.x},
File = {DiggleEtAl2006.pdf:DiggleEtAl2006.pdf:PDF},
ISSN = {1467-9469},
Keywords = {Spatial; Sampling; Design; Optimization; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{DiggleEtAl2005,
Title = {Point process methodology for on-line spatio-temporal disease surveillance},
Author = {Diggle, Peter and Rowlingson, Barry and Su, Ting-li},
Journal = {Environmetrics},
Pages = {423-434},
Volume = {16},
Year = {2005},
Number = {5},
Doi = {10.1002/env.712},
File = {DiggleEtAl2005.pdf:DiggleEtAl2005.pdf:PDF},
ISSN = {1099-095X},
Publisher = {Wiley-Blackwell}
}
@Book{Diggle2013,
Title = {Statistical analysis of spatial and spatio-temporal point patterns},
Address = {Boca Raton},
Author = {P. J. Diggle},
Pages = {267},
Publisher = {Taylor \& Francis},
Year = {2013}
}
@Book{Diggle2003,
Title = {Statistical analysis of spatial point patterns},
Address = {New York},
Author = {Diggle, P J},
Publisher = {Oxford University Press},
Year = {2003},
Edition = {2},
File = {Diggle2003.pdf:Diggle2003.pdf:PDF},
Owner = {alessandro},
Timestamp = {11.10.2013}
}
@Article{Diggle1985,
Title = {A kernel method for smoothing point process data},
Author = {Diggle, P J},
Journal = {Applied Statistics (Journal of the Royal Statistical Society, Series C)},
Pages = {138-147},
Volume = {34},
Year = {1985},
Owner = {alessandro},
Timestamp = {04.10.2013}
}
@Article{Diggle1979,
Title = {On parameter estimation and goodness-of-fit testing for spatial point patterns},
Author = {Diggle, Peter J.},
Journal = {Biometrics},
Pages = {87-101},
Volume = {35},
Year = {1979},
Number = {1},
Abstract = {The paper discusses the objectives of spatial point pattern analysis, with particular reference to the distinction between mapped and sampled data. For the former case, available models are reviewed briefly, the role of preliminary testing is discussed and a procedure for fitting a parametric model is outlined. A simulation study of several tests of spatial randomness is intended to provide some insight into the suitability for model-fitting of various summary descriptions of a mapped pattern. Two examples illustrate the use of the statistical techniques. Some problem areas which merit further investigation are identified.},
Copyright = {Copyright © 1979 International Biometric Society},
File = {Diggle1979.pdf:Diggle1979.pdf:PDF},
ISSN = {0006341X},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 1979},
Jstor_issuetitle = {Perspectives in Biometry},
Keywords = {ppp; point pattern analysis;},
Language = {English},
Publisher = {International Biometric Society},
Url = {http://www.jstor.org/stable/2529938}
}
@Article{DiggleEtAl2010,
Title = {Geostatistical inference under preferential sampling},
Author = {Diggle, Peter J. and Menezes, Raquel and Su, Ting-li},
Journal = {Journal of the Royal Statistical Society: Series C (Applied Statistics)},
Pages = {191–232},
Volume = {59},
Year = {2010},
Month = {Mar},
Number = {2},
Doi = {10.1111/j.1467-9876.2009.00701.x},
File = {DiggleEtAl2010.pdf:DiggleEtAl2010.pdf:PDF},
ISSN = {1467-9876},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{DiggleEtAl2013,
Title = {Spatial and spatio-temporal log-{G}aussian {C}ox processes: extending the geostatistical paradigm},
Author = {Diggle, Peter J. and Moraga, Paula and Rowlingson, Barry and Taylor, Benjamin M.},
Journal = {Statistical Science},
Pages = {542-563},
Volume = {28},
Year = {2013},
Month = {Nov},
Number = {4},
Doi = {10.1214/13-sts441},
File = {DiggleEtAl2013.pdf:DiggleEtAl2013.pdf:PDF},
ISSN = {0883-4237},
Publisher = {Institute of Mathematical Statistics}
}
@Book{DiggleEtAl2007,
Title = {Model-based geostatistics},
Address = {New York},
Author = {Peter J. Diggle and Ribeiro Jr, Paulo Justiniano},
Pages = {228},
Publisher = {Springer},
Year = {2007},
Edition = {1},
File = {DiggleEtAl2007.pdf:Book/DiggleEtAl2007.pdf:PDF},
Keywords = {PhDpaper1; WarrickEtAl1987},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05},
Url = {http://www.springer.com/earth+sciences+and+geography/book/978-0-387-32907-9}
}
@Article{DiggleEtAl2002,
Title = {{B}ayesian Inference in {G}aussian model-based geostatistics},
Author = {Diggle, Peter J. and Ribeiro Jr, Paulo J.},
Journal = {Geographical and Environmental Modelling},
Pages = {129-146},
Volume = {6},
Year = {2002},
Month = {Nov},
Number = {2},
Doi = {10.1080/1361593022000029467},
File = {DiggleEtAl2002.pdf:DiggleEtAl2002.pdf:PDF},
ISSN = {1469-8323},
Owner = {alessandro},
Publisher = {Informa UK Limited}
}
@Article{DiggleEtAl1998,
Title = {Model-based geostatistics},
Author = {Diggle, P. J. and Tawn, J. A. and Moyeed, R. A.},
Journal = {Journal of the Royal Statistical Society: Series C (Applied Statistics)},
Pages = {299–350},
Volume = {47},
Year = {1998},
Month = {Jan},
Number = {3},
Doi = {10.1111/1467-9876.00113},
File = {DiggleEtAl1998.pdf:DiggleEtAl1998.pdf:PDF},
ISSN = {1467-9876},
Keywords = {model-based geostatistics; Cressie;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{DillEtAl2004,
Title = {Assoreamento do reservatório do {V}acacaí-{M}irim e sua relação com a deterioração da bacia hidrográfica contribuinte},
Author = {P.R.J. Dill and E.M.C.D. Paiva and J.B.D. Paiva and J.S.M. Rocha},
Journal = {Revista Brasileira de Recursos Hídricos},
Pages = {7-15},
Volume = {9},
Year = {2004},
Abstract = {Este trabalho teve como objetivo avaliar o uso da terra na bacia hidrográfica contribuinte ao Reservatório do Vacacaí Mirim, identificando as possíveis causas do sedimento transportado na bacia e conseqüente assoreamento ob- servado no reservatório. Realizou-se o diagnóstico físico conservacionista em 1966 e 2001, onde se determinou o uso potencial, conflitos de uso da terra, áreas a florestar, disponibilidade ou excesso para agricultura, áreas a serem traba- lhadas. Realizou-se uma batimetria no reservatório do Vacacaí Mirim em 2001, onde foi comparada com levantamento de 1961 e batimetria de 1997. Foi constatado um assoreamento de 29,45% em 29 anos de operação do reservatório do Vacacaí. Conclui-se que a urbanização desordenada, em áreas declivosas e de preservação permanente, a agricultura e pecuária em áreas inadequadas e sem tratos conservacionistas, a retirada da vegetação nativa (desmatamento de cabecei- ras, divisores d?água, retirada de mata ciliar) têm contribuído para a deterioração da bacia hidrográfica do Vacacaí Mi-rim.},
File = {:Revista Brasileira de Recursos Hídricos/Dill_Rev Bras Rec Hidr_2004.pdf:PDF},
Keywords = {assoreamento de reservatório, uso do solo, produção de sedimento; dnos; geologia; geomorfologia; hidrologia;},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://jararaca.ufsm.br/websites/eloiza/download/Dill/RBRH-Dill.pdf}
}
@Article{DingEtAl2002,
Title = {Soil organic matter characteristics as affected by tillage management},
Author = {G. Ding and J. M. Novak and D. Amarasiriwardena and P. G. Hunt and B. Xing},
Journal = {Soil Science Society of America Journal},
Pages = {421-429},
Volume = {66},
Year = {2002},
Abstract = {Soil organic matter (SOM) is of primary importance for maintaining soil productivity, and agricultural management practices may significantly influence SOM chemical properties. However, how SOM chemical characteristics change with agricultural practices is poorly understood. Therefore, in this study, we evaluated the impacts of tillage (conventional vs. conservation) management on the structural and compositional characteristics of SOM using cross-polarization magic-angle-spinning (CPMAS) and total sideband suppression (TOSS) solid-state 13C nuclear magnetic resonance (NMR) and diffuse reflectance Fourier transform infrared (DRIFT) spectroscopy. We characterized both physically and chemically isolated SOM fractions from a Norfolk soil (fine-loamy, siliceous, thermic Typic Kandiudults) under long-term tillage management (20 yr). The solid-state 13C NMR results indicated that humic acid (HA) from conventional tillage (CT, 0-5 cm) was less aliphatic and more aromatic than HA from conservation tillage (CnT). The aliphatic C content decreased with increasing depth (0-15 cm) for both CT and CnT treatments. The reverse trend was true for aromatic C content. Based on reactive/recalcitrant (O/R) peak ratio comparisons, HA was more reactive in the top soil (0-5 cm) under CnT than CT. Both soil organic C (SOC) and light fraction (LF) material were higher in the 0- to 5-cm soil of CnT than CT treatment. Our results show that long-term tillage management can significantly change the characteristics of both physical and chemical fractions of SOM.},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://ddr.nal.usda.gov/bitstream/10113/13018/1/IND23271760.pdf}
}
@Mastersthesis{Diniz2011,
Title = {Glomalin and humic substances levels in different sucessional stages of a dry forest},
Address = {Seropédica},
Author = {Jurema Schinz Diniz},
Pages = {32},
School = {Curso de Pós-Graduação em Fitossanidade e Biotecnologia Aplicada, Universidade Federal Rural do Rio do Janeiro},
Year = {2011},
File = {Diniz2011.pdf:Diniz2011.pdf:PDF},
Keywords = {redemds; mata seca},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.19},
Url = {http://goo.gl/qbP5g}
}
@Manual{Dinno2012,
Title = {\texttt{paran}: Horn's Test of Principal Components/Factors},
Address = {Viena},
Author = {Alexis Dinno},
Pages = {6},
Publisher = {R Project},
Year = {2012},
Abstract = {paran is an implementation of Horn's technique for numerically and graphically evaluating the components or factors retained in a principle components analysis (PCA) or common factor analysis (FA). Horn's method contrasts eigenvalues produced through a PCA or FA on a number of random data sets of uncorrelated variables with the same number of variables and observations as the experimental or observational data set to produce eigenvalues for components or factors that are adjusted for the sample error-induced inflation. Components with adjusted eigenvalues greater than one are retained. paran may also be used to conduct parallel analysis following Glorfeld's (1995) suggestions to reduce the likelihood of over-retention.},
File = {Dinno2012.pdf:Dinno2012.pdf:PDF},
Keywords = {parallel analysis;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.07},
Url = {http://cran.r-project.org/web/packages/paran/index.html}
}
@Article{Ditzler2005,
Title = {Has the polypedon's time come and gone?},
Author = {Ditzler, C A},
Journal = {NCSS Newsletter},
Pages = {1-3},
Volume = {30},
Year = {2005},
File = {Ditzler2005.pdf:Ditzler2005.pdf:PDF},
Keywords = {soil; mapping; series;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Article{Dixon1998,
Title = {Why scientists value p-value},
Author = {P Dixon},
Journal = {Psychonomic Bulletin and Review},
Pages = {390-369},
Volume = {5},
Year = {1998},
File = {Dixon1998.pdf:Dixon1998.pdf:PDF},
Keywords = {significance},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.22}
}
@InCollection{DobermannEtAl2006,
Title = {Methodology for using secondary information in sampling optimisation for making fine-resolution maps of soil organic carbon},
Author = {A. Dobermann and G.C. Simbahan},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {13},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {167 - 181, 607},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {We describe an approach for digital mapping of soil properties based on dual use of secondary information. In the first stage, multivariate secondary information is used to stratify a landscape for sampling. A new clustering algorithm was developed for this, which allows conducting spatially constrained cluster analysis using mixed categorical and continuous secondary attributes. The stratification is used to optimise sampling by constrained spatial simulated annealing (CSSA). Sampled values and correlated secondary attributes are then used in simple kriging with varying local means (SKLMs) to perform final mapping. We applied this method to mapping of soil carbon stock (CS) in the top 0.3 m of soil. Using secondary information greatly reduced the root mean square error (RMSE) of CS prediction as compared with ordinary kriging (OK) of sampled CS alone. When sampling intensity was decreased, RMSE increased more with OK than by using SKLM for local prediction. Among the ancillary variables, on-the-go sensed soil electrical conductivity was most useful for CS mapping. Further research should focus on developing a generic framework for thematic soil mapping at different scales. More standardised procedures are required for processing of secondary information, optimising sampling designs and performing local prediction to minimise cost and achieve high precision.},
Doi = {DOI: 10.1016/S0166-2481(06)31013-6},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-R/2/10c05178f8f5f44ce1b71489315d3e41}
}
@InCollection{DobosEtAl2010,
Title = {Legacy soil data harmonization and database development},
Author = {E. Dobos and T. Bialkó and E. Micheli and J. Kobza},
Booktitle = {Digital soil mapping: bridging research, environmental application, and operation},
Publisher = {Springer},
Year = {2010},
Address = {Netherlands},
Chapter = {5},
Editor = {Janis L. Boettinger and David W. Howell and Amanda C. Moore and Alfred E. Hartemink and Suzann Kienast-Brown},
Pages = {309-323},
Abstract = {Many countries completed large scale (1:5,000 – 1:25,000) soil surveys decades ago, and have since used their thematic and geographic information to derive thematic soil property layers of the same or smaller scale (1:100,000 and smaller). The new layers are often simply aggregates of the original soil polygons and inherit the same geographic relationships that were delineated in the original data source. In reality, this approach does not use all information of the input data. Instead of aggregating existing maps, the original, non-interpreted field survey point data can be gathered and used for deriving new property layers. The paper aims to summarize a soil database development project using legacy data for a transboundary area, representing two different systems of data collection, storage and management. Recent and archived soil profile data have been collected, including monitoring sites, soil nutrient status campaign data for different periods, and recorded soil profiles from previous soil mapping activities. These data sources have een transformed to have a common theoretical basis using commonly accepted pedotransfer rules and an integrated profile database has been formed. It was used to interpolate soil information and develop soil property maps and layers repre- senting the WRB diagnostic properties and horizons. The creation of the property layers was based on statistical/geostatistical interpolations of the soil profile database using DEM derivatives, SPOT and Landsat satellite images as covariates to provide information for the natural setting of the area. The interpolated values for the numeric variables were estimated using regression kriging, while the classified variables were calculated using the maximum likelihood classification algorithm. It was concluded, that the development of WRB diagnostic criteria database is feasible using raw data of different origin and a set of harmonization and digital soil mapping tools.},
File = {DobosEtAl2010.pdf:DobosEtAl2010.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2011.01.19}
}
@InCollection{DobosEtAl2009,
Title = {Soil mapping applications},
Author = {E. Dobos and Tomislav Hengl},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {20},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {461 - 479},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00020-2},
File = {DobosEtAl2009.pdf:DobosEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {soils, soil maps, traditional and digital soil mapping techniques},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-10/2/74b4458140196a0fb11f604eb217cbfb}
}
@InCollection{DobosEtAl2006,
Title = {The Population of a 500-m Resolution Soil Organic Matter Spatial Information System for Hungary},
Author = {E. Dobos and E. Micheli and L. Montanarella},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {36},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {487 - 495, 627-628},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {A pilot study on the derivation of soil organic content information was carried out using MODIS data, digital elevation data (SRTM-30, 1-km resolution), derived digital terrain variables and the profile database of the Hungarian Soil Monitoring system. A regression-kriging procedure was used to spatially predict the organic matter content for the whole of Hungary. The goal of the study was to characterise the performance of regression analysis using satellite and terrain data as a potential method for soil variable mapping and to derive a soil-organic matter content map for Hungary. Eight-day composites of Terra MODIS were used (1-8 May, 2000 and 1-8 Sept, 2000, with 500-m resolution, channels 1-7 and 21). The satellite image layers were spectrally improved. Numerous terrain variables were derived from the SRTM-30 and were used as input variables to the regression. Logarithmic and square root transformations were done for some of the layers and variables to achieve normality. Via these preprocessing and transformation algorithms a new integrated satellite and terrain database was created. This database was used for estimating the soil organic matter content by regression analysis and kriging. The statistical correlations and the percentages of variation explained by the regression models were always significant. However, their values were relatively low.},
Doi = {DOI: 10.1016/S0166-2481(06)31036-7},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1P/2/aeb9e0f7cf423ea2e81c73c1e42d4e22}
}
@Book{Dobson2001,
Title = {An introduction to generalized linear models},
Author = {Annette J. Dobson},
Pages = {221},
Publisher = {Boca Raton: Chapman and Hall/CRC},
Year = {2001},
Edition = {2},
Abstract = {Statistical tools for analyzing data are developing rapidly so that the 1990 edition of this book is now out of date. The original purpose of the book was to present a unified theoretical and conceptual framework for statistical modelling in a way that was accessible to undergraduate students and researchers in other fields. This new edition has been expanded to include nominal (or multinomial) and ordinal logistic regression, survival analysis and analysis of longitudinal and clustered data. Although these topics do not fall strictly within the definition of generalized linear models, the underlying principles and methods are very similar and their inclusion is consistent with the original purpose of the book. The new edition relies on numerical methods more than the previous edition did. Some of the calculations can be performed with a spreadsheet while others require statistical software. There is an emphasis on graphical methods for exploratory data analysis, visualizing numerical optimization (for example, of the likelihood function) and plotting residuals to check the adequacy of models. The data sets and outline solutions of the exercises are available on the publisher?s website: www.crcpress.com/us/ElectronicProducts/downandup.asp?mscssid=I am grateful to colleagues and students at the Universities of Queensland and Newcastle, Australia, for their helpful suggestions and comments about the material.},
File = {Dobson2001.pdf:Book/Dobson2001.pdf:PDF},
Keywords = {glm;},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Techreport{Dodgson1992,
Title = {Image resampling},
Address = {Cambridge},
Author = {Neil Anthony Dodgson},
Pages = {264},
Publisher = {University of Cambridge},
Year = {1992},
File = {Dodgson1992.pdf:Dodgson1992.pdf:PDF},
ISSN = {1476-2986},
Keywords = {Resampling;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04},
Url = {http://www.cl.cam.ac.uk/~nad10/}
}
@Article{DomburgEtAl1997,
Title = {Designing efficient soil survey schemes with a knowledge-based system using dynamic programming},
Author = {P Domburg and de Gruijter, Jaap J and van Beek, P.},
Journal = {Geoderma},
Pages = {183-201},
Volume = {75},
Year = {1997},
Number = {3-4},
Abstract = {Soil sampling and measurement often consume a significant portion of the budget available for a project. On a national or worldwide basis these activities require large investments, which are justified if the soil information leads to better decisions on land use or environmental issues to an extend which more than counterbalances the costs. This depends on both the costs and the quality of the information. At present soil sampling schemes are designed ad hoc or according to a protocol. In either case the available prior information on soil variability and statistical knowledge on spatial sampling is often not fully exploited. This may lead to unnecessarily high costs or low quality of the information. Therefore, sampling schemes should be designed such that either the costs are minimized under quality requirements related to the aim of the survey, or the quality is maximized for a given budget. Important aspects of quality are accuracy and precision, which can be quantified as sampling and measurement error. In this paper we describe a knowledge-based system that assists in the design of soil survey schemes. The system facilitates the full use of prior information as well as pedological, operational and statistical knowledge. Part of the knowledge will be formalized as decision rules that guide the user to suitable types of sampling designs. In addition, models and algorithms are proposed to predict the accuracy and the costs of the information, taking into account differences in spatial variability or sampling costs between sub-regions. Finally, given a stratification of the area, dynamic programming is used to determine the optimal allocation to the strata of sample points, clusters of sample points (e.g. on transects), or primary units for further (secondary) sampling. Our methodology enables prior evaluation and objective comparison of the efficiency of sampling schemes, taking into account the available resources such as budget, equipment, laboratory capacity or time available for fieldwork. The prediction and optimization part of the system is illustrated with an example of stratified sampling to estimate the areal fraction saturated with phosphate. With the given budget, the geometry of the area and four equally sized strata, the variograms and the cost functions, Simple Random Sampling for the strata turned out the be more efficient than Two-Stage Sampling from the same strata.},
Doi = {10.1016/S0016-7061(96)00090-0},
File = {:Geoderma/Domburg et al_Geoderma_1997.pdf:PDF},
Keywords = {soil sampling; sampling strategy; spatial variability; stratification; redemds; pedometrics; cost model;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{DomburgEtAl1994,
Title = {A structured approach to designing soil survey schemes with prediction of sampling error from variograms},
Author = {P. Domburg and de Gruijter, Jaap J and D J Brus},
Journal = {Geoderma},
Pages = {151-164},
Volume = {62},
Year = {1994},
Number = {1-3},
Abstract = {There is a growing need for soil survey information with quantified accuracy, which can be met by applying appropriate statistical methods. For any survey a scheme should be designed specifying how and where data are to be recorded in the field, and how they are to be analysed statistically. Three formal levels are distinguished as the basis for a knowledge-based system for designing soil survey schemes. The first level depicts the role of the design in a survey project, the second distinguishes different steps in the design, and the third defines a framework of the basic concepts. Choosing a sampling design and comparing the accuracy of possible designs are essential in our support system. The accuracy of results from a scheme is defined as the mean squared error due to sampling. A computational method to predict the sampling error from prior information in the form of variograms is given and is illustrated with a case study.},
Doi = {10.1016/0016-7061(94)90033-7},
File = {DomburgEtAl1994.pdf:Geoderma/DomburgEtAl1994.pdf:PDF},
ISSN = {0016-7061},
Keywords = {redemds; sampling cost;},
Url = {http://www.sciencedirect.com/science/article/pii/0016706194900337}
}
@Article{DonEtAl2007,
Title = {Spatial and vertical variation of soil carbon at two grassland sites? Implications for measuring soil carbon stocks},
Author = {Axel Don and Jens Schumacher and Michael Scherer-Lorenzen and Thomas Scholten and Ernst-Detlef Schulze},
Journal = {Geoderma},
Pages = {272-282},
Volume = {141},
Year = {2007},
Abstract = {Soil organic carbon (SOC) stocks are a function of the SOC concentration and the bulk density of the fine soil. Both variables are prone to changes and are influenced by abiotic and biotic processes. To determine the effect of variations of both variables on SOC stocks at two grassland sites, one with Stagnic Vertisols and one with Orthoeutric Arenosols, 440 soil cores were sampled down to 60cm depth. Bulk density and C and N concentrations were measured in 5cm intervals (0?10cm depth) and 10cm intervals (10?60cm depth). SOC stocks at the clay rich site with Vertisols were almost twice as high (86t C ha?1 in 0?60cm depth) as at the sandy site with Arenosols (48t C ha?1). Variations in the SOC stocks were determined by the thickness of the loess layer at the clay rich site. Underlying clay horizons hampered the C translocation into the subsoil which resulted in lower SOC stocks of the whole profile. Semivariograms showed spatial autocorrelations of SOC concentrations within a range of 47 and 131m, respectively. The range of autocorrelation between samples of bulk density was much shorter (39 and 51m). Relative variances in bulk density were 1?2 magnitudes lower than the variability of SOC concentration and decreased rapidly as soil depth increased. The difference in the variation of SOC concentration and bulk density was used to revise the sampling design for SOC stocks. An unequal number of samples, i.e. more SOC concentration samples than bulk density samples, would not necessarily decrease the power of the sampling design to detect SOC stock changes. In contrast, the optimum sampling design for these sites would consist of 33?44% bulk density samples and 56?67% SOC concentration samples.},
Doi = {10.1016/j.geoderma.2007.06.003},
File = {:Geoderma/Don et al_Geoderma_2007.pdf:PDF},
Keywords = {Soil organic carbon stocks; Spatial variability; Bulk density; Geostatistics; Grassland},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Book{DonagemaEtAl2011,
Title = {Handbook of methods of soil analysis},
Address = {Rio de Janeiro},
Author = {Donagema, Guilherme Kangussú and Campos, David Vilas Boas and Calderano, Sebastião Barreiros and Teixeira, Wenceslau Geraldes and Viana, João Herbert Moreira},
Pages = {230},
Publisher = {Embrapa Solos},
Year = {2011},
Edition = {2},
File = {DonagemaEtAl2011.pdf:DonagemaEtAl2011.pdf:PDF},
Keywords = {redemds},
Owner = {Administrador},
Timestamp = {2011.01.15}
}
@Mastersthesis{Donagemma2003,
Title = {Pré-tratamento na análise textural visando a minimização do pseudo-silte em Latossolos de Minas Gerais},
Author = {G.K. Donagemma},
Pages = {101},
School = {Universidade Federal de Viçosa},
Year = {2003},
Abstract = {Com o objetivo de minimizar a proporção de pseudo-silte na análise textural de Latossolos de Minas Gerais, realizou-se um experimento de laboratório para verificar a efetividade da dispersão em resposta à utilização de pré-tratamentos para remoção de agentes cimentantes. Os tratamentos corresponderam a um arranjo fatorial 7 (22 + 1). Os fatores em estudo foram amostras de sete Latossolos dispersos com NaOH 0,01 mol/L, com presença ou ausência de pré-tratamentos para remoção da matéria orgânica e dos óxidos de ferro e alumínio mal cristalizados, acrescentando-se um tratamento adicional em que foi utilizada solução de NaClO 0,01 mol/L como dispersante. Nas frações texturais separadas, realizaram-se observações com microscópio para fração silte e com lupa binocular para fração areia fina, procedendo-se, também, à caracterização mineralógica por difração de raios X (argila, silte, areia fina e areia grossa). A fração silte foi novamente dispersa, determinando-se a proporção de argila e silte após a segunda dispersão. A remoção de matéria orgânica e a de óxidos de ferro e alumínio mal cristalizados provocaram um incremento na proporção de argila, indicando a dispersão de microagregados com tamanhos correspondentes aos de outras frações texturais, em particular da fração silte. A utilização de NaClO como reagente único para remoção da matéria orgânica e dispersão da amostra não se mostrou eficaz. A presença do pseudo-silte foi confirmada em todos os solos estudados, evidenciando-se em maior proporção nos solos mais oxídicos. As frações areia fina e areia grossa também apresentaram microagregados da fração argila. A presença do pseudo-silte foi definitivamente confirmada com a segunda dispersão da fração silte, nos sete Latossolos estudados. Após a segunda dispersão, essa fração apresentou valores que variaram de 0,199 a 0,537 kg/kg de argila, complementados por 0,801 e 0,463 kg/kg de silte, respectivamente, nos sete Latossolos estudados. A liberação de maiores quantidades de argila da fração silte na segunda dispersão não indicou, necessariamente, maior presença de pseudo-silte, mas uma menor estabilidade dos microagregados. Pode-se concluir que na análise textural dos Latossolos estudados as frações silte, areia fina e areia grossa foram superestimadas, sobretudo a fração silte. A proporção de pseudo-silte nos Latossolos oxídicos estudados ultrapassa 50% na fração silte, encontrando-se o silte verdadeiro (partícula simples) constituído essencialmente por quartzo. Para reduzir a proporção de pseudo-silte, haveria a necessidade da realização de prétratamentos, fundamentalmente aquele que tende à remoção dos óxidos de ferro e alumínio mal cristalizados.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Techreport{Donagemma200x,
Title = {Remoção da {MOS}},
Author = {G. K. Donagemma},
Pages = {8},
Year = {200x},
Type = {Relatório de aulá prática},
Institution = {Universidade Federal de Viçosa},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Techreport{Donagemma2001,
Title = {Mineralogia do solo},
Author = {Guilherme Kangussú Donagemma},
Pages = {26},
Year = {2001},
Type = {Relatório de aula prática},
Institution = {Universidade Federal de Viçosa},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{DonagemmaEtAl2003,
Title = {Dispersão de Latossolos em resposta à utilização de pré-tratamentos na análise textural},
Author = {G. K. Donagemma and H. A. Ruiz and M. P. F. and J. C. Ker and C. E. G.},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {765-772},
Volume = {27},
Year = {2003},
Abstract = {O resultado mais acurado da análise textural depende da completa dispersão da amostra de solo e da manutenção da estabilidade da fase dispersa. Alguns Latossolos podem apresentar problemas de dispersão, graças à presença de microagregados de alta estabilidade. Esses grupamentos, muito argilosos, são parcialmente desagregados pela dispersão química e mecânica, contribuindo, pelo seu tamanho, para superestimar, fundamentalmente, a proporção de silte do solo analisado. Assim, visando minimizar a proporção de pseudocomponentes na análise textural dos Latossolos, realizou-se um experimento de laboratório, para verificar a efetividade da dispersão em resposta à utilização de prétratamentos na remoção de agentes cimentantes. Os tratamentos corresponderam a um arranjo fatorial 7 x 22. Os fatores em estudo foram amostras de sete Latossolos dispersos com NaOH 0,01 mol L-1, com presença ou ausência de pré-tratamentos para remoção da matéria orgânica e dos óxidos de ferro e alumínio mal cristalizados. A fração silte foi novamente dispersa, determinando-se a proporção de argila e silte após a segunda dispersão. A remoção de matéria orgânica e a de óxidos de ferro e alumínio mal cristalizados provocaram incremento na proporção de argila, indicando a dispersão de microagregados com tamanhos correspondentes aos de outras frações texturais, em particular da fração silte. A presença do pseudo-silte foi confirmada em todos os solos estudados, sobretudo nos solos mais oxídicos. As frações areia fina e areia grossa também apresentaram microagregados de argilas. Após a segunda dispersão, a fração silte apresentou valores que variaram de 0,199 a 0,537 kg kg-1 de argila. Para reduzir a proporção de pseudo-silte, há necessidade de realizar pré-tratamentos. Como a resposta aos pré-tratamento testados não foi cumulativa, sugere-se utilizar o pré-tratamento para remover óxidos de ferro e alumínio mal cristalizados.},
Keywords = {dispersão, pseudopartículas, remoção de matéria orgânica, remoção de óxidos de ferro e alumínio mal cristalizados.},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@InCollection{DonatelliEtAl2004,
Title = {Methods to evaluate pedotransfer functions},
Author = {M. Donatelli and J.H.M. Wösten and G. Belocchi},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {357 - 411},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30020-6},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-P/2/428f0864bee0f28a6381caa31b3fcb07}
}
@Article{Dowd1982,
Title = {Lognormal kriging -- the general case},
Author = {Dowd, P. A.},
Journal = {Mathematical Geology},
Pages = {475–499},
Volume = {14},
Year = {1982},
Month = {Oct},
Number = {5},
Doi = {10.1007/bf01077535},
File = {Dowd1982.pdf:Dowd1982.pdf:PDF},
ISSN = {1573-8868},
Keywords = {back-transform; Lognormal;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Manual{Downes2002,
Title = {Short Math Guide for LATEX},
Author = {Michael Downes},
Year = {2002},
File = {Downes2002.pdf:Downes2002.pdf:PDF},
Keywords = {latex},
Owner = {alessandro},
Timestamp = {29.10.2013}
}
@Article{DragutEtAl2011,
Title = {Object representations at multiple scales from digital elevation models },
Author = {Lucian Dr\v{a}gu\c{t} and Clemens Eisank},
Journal = {Geomorphology },
Pages = {183-189},
Volume = {129},
Year = {2011},
Number = {3–4},
Doi = {http://dx.doi.org/10.1016/j.geomorph.2011.03.003},
File = {DragutEtAl2011.pdf:DragutEtAl2011.pdf:PDF},
ISSN = {0169-555X},
Keywords = {Geomorphometry; dem; resolution; multi-scale; effect;},
Owner = {alessandro},
Timestamp = {24.02.2014},
Url = {http://www.sciencedirect.com/science/article/pii/S0169555X11001231}
}
@Article{DragutEtAl2009,
Title = {Optimization of scale and parametrization for terrain segmentation: an application to soil-landscape modeling},
Author = {Dr\v{a}gu\c{t}, Lucian and Schauppenlehner, Thomas and Muhar, Andreas and Strobl, Josef and Blaschke, Thomas},
Journal = {Computers \& Geosciences},
Pages = {1875-1883},
Volume = {35},
Year = {2009},
Month = {Sep},
Number = {9},
Doi = {10.1016/j.cageo.2008.10.008},
File = {DragutEtAl2009.pdf:DragutEtAl2009.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Analysis; Scale; Resolution; Support; DSM; Pedometrics;},
Publisher = {Elsevier BV},
Review = {DEM derivatives were aggregated using the moving window averages. The authors use the term "scale" as a synonym of "pixel size", "support" and, perhaps, many others. The concern of the study was the optimization of the support at which DEM derivatives are calculated.}
}
@Article{DraperEtAl1971,
Title = {The distribution of certain regression statistics},
Author = {Draper, N. R. and Guttman, I. and Kanemasu, H.},
Journal = {Biometrika},
Pages = {295-298},
Volume = {58},
Year = {1971},
Number = {2},
Abstract = {The conventional entry test for a new variable in stepwise regression is not theoretically correct, but is used because the necessary exact distributions are not known. Some distributional results which throw light on the situation are given.},
File = {DraperEtAl1971.pdf:DraperEtAl1971.pdf:PDF},
Language = {English},
Url = {http://www.jstor.org/stable/2334517}
}
@Misc{DSG1992,
Title = {Santa {M}aria - {NE}. {S}heet {SH}.22-{V}-{C}-{IV}-1-{NE}},
Author = {DSG},
Note = {{S}cale 1:25000},
Year = {1992},
Address = {Brasília},
Keywords = {PhDpaper1;},
Owner = {alessandro},
Publisher = {Ministério do Exército, Departamento de Engenharia e Comunicações, Diretoria do Serviço Geográfico do Exército},
Timestamp = {31.10.2013}
}
@Misc{DSG1992a,
Title = {Santa {M}aria - {SE}. {S}heet {SH}.22-{V}-{C}-{IV}/1-{SE}},
Author = {DSG},
Note = {{S}cale 1:25000},
Year = {1992},
Address = {Brasília},
Keywords = {PhDpaper1;},
Owner = {alessandro},
Publisher = {Ministério do Exército, Departamento de Engenharia e Comunicações, Diretoria do Serviço Geográfico do Exército},
Timestamp = {31.10.2013}
}
@Misc{DSG1980,
Title = {Camobi - {SO}. {S}heet {SH}.22-{V}-{C}-{IV}/2-{SO}},
Author = {DSG},
Note = {{S}cale 1:25000},
Year = {1980},
Address = {Brasília},
Keywords = {PhDpaper1;},
Owner = {alessandro},
Publisher = {Ministério do Exército, Departamento de Engenharia e Comunicações, Diretoria do Serviço Geográfico do Exército},
Timestamp = {31.10.2013}
}
@Inproceedings{Dudal2004,
Title = {The sixth factor of soil formation},
Author = {R. Dudal},
Booktitle = {International Conference on Soil Classification 2004, Petrozavodsk, Russia, 3-5 August, 2004},
Pages = {13},
Year = {2004},
File = {Dudal2004.pdf:Anais/Dudal2004.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Inproceedings{DudalEtAl2002,
Title = {The human factor of soil formation},
Author = {Dudal, R. and Nachtergaele, F.O. and Purnell M.F.},
Booktitle = {17th WCSS, 14-21 August 2002, Thailand},
Pages = {8},
Year = {2002},
Abstract = {Soils are natural bodies that have been formed by the interaction, over time, between climate, relief, parent material and living organisms. The latter soil-forming factor encompasses vegetation, fauna and human influence. Although soil management practices and other human interventions have been acknowledged as having an impact on soil formation, early soil classifications have not ystematically catered for soils, which have been modified by man. The human influence on soil formation is much more pronounced and extensive than originally perceived. Human interventions were either direct ? through plowing, liming, manuring, fertilizing-or indirect through changing the natural soil forming factors-changing the vegetation by deforestation, changing the relief by leveling and terracing, changing the soil moisture regime through irrigation or drainage, changing the parent material through dumping or erosion. How are soil ?improvement? or ?degradation? reflected in soil classification? How and at which level does one distinguish ?natural soils? from ?anthropogenic soils?? The diversity of ?anthropogenic soils? has given rise to a proliferation of different names and units. In order to avoid a splintering of classes, it is attempted to identify the different types of man-made soils: a. Human induced changes of soil class b. Human-made diagnostic horizons c. Human induced new parent materials d. Human induced deep soil disturbance e. Human induced topsoil changes. On this basis a more systematic characterization and subdivision of ?anthropogenic soils? could be envisaged.},
File = {DudalEtAl2002.pdf:Anais/DudalEtAl2002.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{DuhEtAl2007,
Title = {Knowledge-informed Pareto simulated annealing for multi-objective spatial allocation},
Author = {Jiunn-Der Duh and Daniel G. Brown},
Journal = {Computers, Environment and Urban Systems },
Pages = {253 - 281},
Volume = {31},
Year = {2007},
Number = {3},
Doi = {10.1016/j.compenvurbsys.2006.08.002},
File = {DuhEtAl2007.pdf:DuhEtAl2007.pdf:PDF},
ISSN = {0198-9715},
Keywords = {Spatial allocation; optimization;},
Owner = {alessandro},
Timestamp = {27.06.2013}
}
@Inproceedings{DulaneyEtAl1994,
Title = {Use of geoestatistical techniques in the design of an agricultural field experiment},
Author = {Wayne P. Dulaney and Laura L. Lengnick and Galen F. Hart,},
Booktitle = {Proceedings of the Survey Research Methods Section, American Statistical Association (1994)},
Pages = {183-187},
Year = {1994},
Volume = {xx},
Abstract = {The usefulness of certain geostatistical techniques in the design of an agricultural field trial was examined. Of immediate concern was the use of these techniques to help identify an optimal sampling scheme for characterization of soil spatial variability. This was achieved by determining, a priori, the prediction error associated with various sampling designs. Our ultimate goal is to use geostatistical techniques to help minimize the confounding ird]uence of location effects on treatment differences. Knowledge of soil spatial vm'iability will be used to help locate experimental blocks on areas that are as uniform as possible, thus increasing the precision with which treatment differences can be detected. Kxiging will be used to produce interpolated contour maps of various soil properties at the experimental field site. In June 1993, a soil survey was conducted at the proposed field site. Data on various soil characteristics were collected on a 50 m x 75 m grid. Geostatistical analyses were performed on these data using public domain geostatistical software packages (GEO-EAS and GEOPACK) developed at the U.S. Environmental Protection Agency. Semivariograms were produced for each soil ch,'u-acteristic and were modeled using a non-linear least-squares fitting procedure (Marquardt, 1963). Soil semi-variogram model parameters were input to the Optimal Sampling Scheme For Isarithmin Mapping (OSSFIM) program which was used to determine the prediction error associated with various grid sample spacings (McBratney and Webster, 1981). Output from OSSFIM allowed us to select a soil sampling scheme-i.e., of known accuracy and cost-tbr a more intensive characterization of the field site.},
File = {DulaneyEtAl1994.pdf:Anais/DulaneyEtAl1994.pdf:PDF},
Journal = {XXX},
Keywords = {Geostatistics, Kriging, Experimental design},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://www.amstat.org/sections/srms/proceedings/y1994.html}
}
@Mastersthesis{Dullius2012,
Title = {Vegetação e solos de uma floresta estacional do {R}io {G}rande do {S}ul},
Address = {Santa Maria},
Author = {Michelle Dullius},
Pages = {127},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2012},
File = {Dullius2012.pdf:Dullius2012.pdf:PDF},
Keywords = {DNOS; vegetação; rebordo do planalto;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.14},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Article{Duncan1955,
Title = {Multiple range and multiple {F} tests},
Author = {Duncan, David B.},
Journal = {Biometrics},
Pages = {1-42},
Volume = {11},
Year = {1955},
Number = {1},
Copyright = {Copyright © 1955 International Biometric Society},
File = {Duncan1955.pdf:Duncan1955.pdf:PDF},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 1955},
Keywords = {multiple comparison},
Language = {English},
Owner = {Alessandro Samuel Rosa},
Publisher = {International Biometric Society},
Timestamp = {2012.07.23},
Url = {http://www.jstor.org/stable/3001478}
}
@Article{DunganEtAl2002,
Title = {A balanced view of scale in spatial statistical analysis},
Author = {Dungan, J. L. and Perry, J. N. and Dale, M. R. T. and Legendre, P. and Citron-Pousty, S. and Fortin, M. -J. and Jakomulska, A. and Miriti, M. and Rosenberg, M. S.},
Journal = {Ecography},
Pages = {626-640},
Volume = {25},
Year = {2002},
Month = {Oct},
Number = {5},
Doi = {10.1034/j.1600-0587.2002.250510.x},
File = {DunganEtAl2002.pdf:DunganEtAl2002.pdf:PDF},
ISSN = {1600-0587},
Keywords = {Analysis; Scale; Resolution; Support; DSM; Pedometrics;},
Publisher = {Wiley-Blackwell},
Review = {The authors use the terms "phenomenon" and "process" but do not give a clear definition for them. Instead, they give examples. It guess that the authors mean that a phenomenon is what we observe, like a "community of crustose lichens growing on a large smooth plane rock surface". The phenomenon has its structure ("characteristic, features, patterns") and underlying processes that have made it come to existence and continue to exist. The concepts are not clear throughout the paper! The so-called "phenomenon scale" is defined as being composed by a structure component (tile size and phase spacing) and a process component. The process scale is defined as the range of action and extent of effect of a phenomenon. The authors give examples. I guess that the definition of a "process scale" can be used only if the time interval in which the process is evaluated is set to a very short period. The "process scale" is defined after the spatial and temporal extents have been defined. The author do not mention this problem. Sampling density! Models are scale-dependent: "no structure can be detected which is smaller than the size of the sampling unit or larger than the extent of a study"}
}
@Article{DunjoEtAl2004,
Title = {The role of land use - land cover on runoff generation and sediment yield at a microplot scale, in a small Mediterranean catchment},
Author = {Gemma Dunjó and Giovanni Pardini and Maria Gispert},
Journal = {Journal of Arid Environments},
Pages = {99-116},
Volume = {57},
Year = {2004},
Abstract = {Replied runoff-erosion microplots (less than 1 m2) have been set up in eleven environments representative of the land uses in the catchment, in order to measure and evaluate their rates after each rainfall event, during dry and wet soil conditions (summer and winter, respectively). Recorded rainfall amounts and intensities were higher in summer (47 l/m2 and 0.82 mm/h, respectively) than in winter (38.25 l/m2 and 0.45 mm/h, respectively). Thus, runoff and sediment yield rates were greater in summer than in winter in all the environments. The highest runoff and erosion values, ranging from 0.84 to 13.49 l/m2 and from 11.26 to 648.43 g/m2, respectively, were measured under the cultivated olive trees environment during dry soil conditions. According to the literature data, these values may be considered very low. Cork tree environments presented the lowest values of runoff and sediment yield over the study period, presumably accounting for the importance of the vegetation cover in terms of soil protection as well as its role in improving the soil physical and chemical properties. Slightly higher significant correlation (p<0.05) between runoff and soil loss was found in winter (+0.38) than in summer (+0.30), analysing all the rainfall events and environments. Negative relationship (p<0.05) between vegetation cover and soil loss (?0.40) and runoff (?0.31), was only found in winter. Strong correlation between runoff and precipitation was revealed in both study seasons (+0.57 summer and +0.34 winter). Analysis of variance (ANOVA) indicates significant differences in sediment yield between the selected environments as well as the land use-land cover in winter. The high variation in the total runoff and sediment loss measured in the different environments reflects the great importance of total rainfall as well as land use on these variables. It was found that land use/cover, farmland set-aside and land misuse, can greatly affect runoff and soil erosion.},
Doi = {10.1016/S0140-1963(03)00097-1},
Keywords = {Mediterranean; Semi-arid; Farmland set-aside; Land use?land cover; Runoff; Sediment yield; Microplot scale},
Owner = {Fatec},
Timestamp = {2010.07.27}
}
@Article{Dunnett1955,
Title = {A multiple comparison procedure for comparing several treatments with a control},
Author = {Dunnett, Charles W.},
Journal = {Journal of the American Statistical Association},
Pages = {1096-1121},
Volume = {50},
Year = {1955},
Number = {272},
Copyright = {Copyright © 1955 American Statistical Association},
File = {Dunnett1955.pdf:Dunnett1955.pdf:PDF},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Dec., 1955},
Keywords = {multiple comparison},
Language = {English},
Owner = {Alessandro Samuel Rosa},
Publisher = {American Statistical Association},
Timestamp = {2012.07.23},
Url = {http://www.jstor.org/stable/2281208}
}
@Article{DurigonEtAl2014,
Title = {{NDVI} time series for monitoring {RUSLE} cover management factor in a tropical watershed},
Author = {Durigon, V.L. and Carvalho, D.F. and Antunes, M.A.H. and Oliveira, P.T.S. and Fernandes, M.M.},
Journal = {International Journal of Remote Sensing},
Pages = {441–453},
Volume = {35},
Year = {2014},
Month = {Jan},
Number = {2},
Doi = {10.1080/01431161.2013.871081},
File = {DurigonEtAl2014.pdf:DurigonEtAl2014.pdf:PDF},
ISSN = {1366-5901},
Owner = {alessandro},
Publisher = {Informa UK Limited}
}
@Article{DurnEtAl2001,
Title = {Distribution of Iron and Manganese in Terra Rossa from Istria and its Genetic Implications},
Author = {Goran Durn and Dragutin Slovenec and Marta Covic},
Journal = {Geologica Croatica},
Pages = {27-36},
Volume = {54},
Year = {2001},
Abstract = {Haematite and goethite are the predominant pedogenic mineral phases in terra rossa from Istria. Limited variation of selected Fe oxide characteristics in analysed samples indicates the specific pedogenic environment in which terra rossa is formed. The mean value of the Fe d /Fe t ratio, taken as an index of weathering is 0.7 and reflects quite a high degree of weathering of Fe-containing primary silicates. Rela-tively uniform Fe d / clay ratios clearly indicate a predominance of co- illuviation of clay and Fe oxides. Low values of Fe o point to the low content of poorly crystalline Fe oxides in analysed terra rossa. F e o /F e d ratios in the analysed profiles vary. In the upper part of the Pomer, PoreË and Novigrad profiles Fe o /F e d ratios are higher than in the lower part of those profiles which may be explained as a result of different pedogenic environments and/or additions of external mate- rials in the upper part of those profiles. The lack of positive correla- tion between Mn d and clay and Mn d and Fe d is a consequence of remobilization of manganese due to hydromorphic processes which post-dated co-illuviation of clay and Fe oxides. During the Late Tertiary and Quaternary the pedogenic environ- ment on hard carbonate rocks of the Jurassic-Cretaceous-Palaeogene carbonate plain of southern and western Istria generally remained suitable for rubification. However, (Neo)tectonic activity and the input of external material, as well as various climatic fluctuations might have significantly effected terra rossa through the processes of erosion, colluviation, yellowing and secondary hydromorphy.},
Keywords = {Terra rossa, Iron, Manganese, Iron oxides, Istria, Croatia.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.geologia-croatica.hr/ojs/index.php/GC/article/view/GC.2001.03/}
}
@InCollection{Dusart2006,
Title = {Adapting Soil Data Bases Practices to the Proposed EU Inspire Directive},
Author = {J. Dusart},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {6},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {77 - 85},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Harmonised and standardised spatial reference data are increasingly essential to support environmental policies (e.g. Soil Thematic Strategy). However, soil databases often appear heterogeneous, lack common geographical references or are poorly documented (metadata). Analysis based on such data sets may generate inconsistent results that will not benefit the users. The opportunity to review and adapt soil-mapping practices came with the initiative taken by the European Commission to position the establishment and operation of an infrastructure for spatial information in Europe under a legal framework, the INSPIRE Directive. The proposed Directive includes minimum requirements for harmonising, documenting and disseminating spatial data. Member States will be asked to establish and operate infrastructures for different spatial themes in accordance with a set of technical guidelines still to be defined and approved. Over the last 10 years, the European Soil Bureau Network has gained much experience in establishing harmonised soil data for Europe and can, therefore, provide an ideal area of experimentation for the practical implementation of the recommended technical guidelines. This chapter reviews some of the changes to be made to the 1:1,000,000 scale European Soil Database to fulfil the INSPIRE requirements.},
Doi = {10.1016/S0166-2481(06)31006-9},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Inproceedings{DutraEtAl2003,
Title = {Processamento de imagens de radar de abertura sintética – princípios e aplicaç{õ}es},
Author = {Luciano Vieira Dutra And J C. Mura And Corina Costa Freitas And J Roberto Santos And Marcos T Elmiro},
Booktitle = {Anais do IV Workshop em Tratamento de Imagens},
Pages = {4-13},
Year = {2003},
Address = {Belo Horizonte},
File = {DutraEtAl2003.pdf:DutraEtAl2003.pdf:PDF},
Institution = {NPDI/DCC/ICEx/UFMG},
Keywords = {sensoriamento remoto;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.12}
}
@Article{Duuren1977,
Title = {Chemical structure, reactivity, and carcinogenicity of halohydrocarbons},
Author = {B.L. van Duuren},
Journal = {Environmental Health Perspectives},
Pages = {17-23},
Volume = {21},
Year = {1977},
Abstract = {This review summarizes studies concerning the covalent binding of [14C]TCE to rat liver microsomal protein and exogenous DNA, in vitro, the enhancement of this binding by inducers of mixed-function oxidases, and inhibition of binding by inhibitors of these enzymes. Furthermore, recent studies on this type of binding in various strains of mice and rats of both sexes and using microsomal preparations from various organs are briefly reviewed. Other work reviewed here concerns the synthesis of TCE epoxide and its reaction with nucleophiles since it is believed that TCE epoxide is the activated carcinogenic intermediate of TCE. The utility of structural prognostication of carcinogenic activity and the importance of considering possible metabolic pathways for other chlorinated olefins is also discussed.},
File = {:Environmental Health Perspectives/Duuren_Environ Health Persp_1977.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://ehp.niehs.nih.gov/members/1977/021/21003.PDF}
}
@Techreport{Dwyer2000,
Title = {Landfill covers: is it time to change current regulations?},
Address = {Albuquerque},
Author = {Stephen F. Dwyer},
Pages = {25},
Year = {2000},
Institution = {Sandia National Laboratories},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Mastersthesis{Dyk2010,
Title = {Forest attributes from multi-angle multi-date remotely sensed data},
Author = {Andrew Dyk},
Pages = {141},
School = {Department of Geography, University of Victoria},
Year = {2010},
File = {Dyk2010.pdf:Dyk2010.pdf:PDF},
Keywords = {orthorectification; across-track angle; along-track angle;},
Owner = {alessandro},
Timestamp = {26.12.2013}
}
@Article{DymondEtAl2010,
Title = {An erosion model for evaluating regional land-use scenarios},
Author = {John R. Dymond and Harley D. Bettsand Christina S. Schierlitz},
Journal = {Environmental Modelling and Software},
Pages = {289-298},
Volume = {25},
Year = {2010},
Abstract = {The conversion to pasture of indigenous forest on New Zealand hill country has led to increased mass-movement erosion and consequently increased sedimentation of waterways. Effective soil conservation requires a model that can evaluate erosion and sedimentation for different land-use scenarios. In this paper, we develop a model of mean sediment discharge related to mean erosion rates through a sediment delivery ratio. Mean erosion rate in a particular terrain (??erosion terrain??) is the product of (i) the square of mean annual rainfall with (ii) a cover factor and (iii) an erosion coefficient that depends on erosion terrain. Measurements of mean sediment discharge are used to estimate erosion coefficients for each erosion terrain. The model can be used to predict mean sediment discharge in response to land-cover/land-use scenarios. It is easy to execute and uses input data readily available in GIS layers in New Zealand. This makes it suitable for widespread management application, in contrast to physically based models which are presently only suitable for research catchments. We demonstrate the utility of the model for three different applications: evaluating land-use scenarios in the Motueka catchment; setting priorities for soil conservation in the Manawatu catchment; and determining national trends in agricultural erosion over a 30-year period. The general methodology is applicable to countries dominated by mountains and steep hills with high erosion rates.},
Doi = {10.1016/j.envsoft.2009.09.011},
File = {:Environmental Modelling Software/Dymond et al_Environ Modell Softw_2010.pdf:PDF},
Keywords = {Erosion model, Land-use scenarios, Mass-movement erosion, Sediment delivery ratio, Sediment yield, Sediment discharge, Soil conservation, Erosion terrain},
Owner = {Alessandro Samuel Rosa},
Timestamp = {27.07.2010}
}
@Article{Dyson2012,
Title = {{Is Science Mostly Driven by Ideas or by Tools?}},
Author = {Dyson, Freeman J.},
Journal = {Science},
Pages = {1426-1427},
Volume = {338},
Year = {2012},
Number = {6113},
Doi = {10.1126/science.1232773},
Eprint = {http://www.sciencemag.org/content/338/6113/1426.full.pdf},
Url = {http://www.sciencemag.org/content/338/6113/1426.short}
}
@Article{DziubanEtAl1974,
Title = {When is a correlation matrix appropriate for factor analysis? Some decision rules},
Author = {Dziuban, Charles D. and Shirkey, Edwin C.},
Journal = {Psychological Bulletin},
Pages = {358-361},
Volume = {81},
Year = {1974},
Number = {6},
Abstract = {Discusses 3 techniques for assessing the psychometric adequacy of correlation matrices; (a) computation of M. S. Bartlett's test of sphericity, (b) inspection of the off-diagonal elements of the anti-image covariance matrix, and (c) computation of the Kaiser-Meyer-Olkin 1970 measure of sampling adequacy. The advantages and disadvantages of each are compared with respect to assessment of correlation matrices prior to factor analysis.},
File = {DziubanEtAl1974.pdf:DziubanEtAl1974.pdf:PDF},
Keywords = {redemds; pca; kmo},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.04}
}
@Inproceedings{Edirisooriya1995,
Title = {Stepwise regression is a problem, not a solution},
Author = {Edirisooriya, Gunapala},
Booktitle = {Annual Meeting of the Mid-South Educational Research Association (Biloxi, MS, November 8-10, 1995)},
Pages = {16},
Year = {1995},
Abstract = {Stepwise regression is not an adequate technique to provide the best set of variables with which to predict the dependent variable. By using the stepwise regression method, one who attempts to select the best set of predictors of a given dependent variable will face more problems than he or she attempted to resolve. This is illustrated with an example taken from the personnel data set of a medium-sized firm. An attempt was made to explain the variation in the present salary of the workforce in terms of a number of personnel variables. Stepwise regression techniques were applied for various sample sizes. The data are used to demonstrate that stepwise regression is quite vulnerable to specification, sampling, and measurement errors. It cannot be assumed that stepwise regression will provide the best-fit model, the order of significance of predictor variables, or the relative importance of predictor variables. Stepwise regression will not necessarily derive the appropriate solution for the researcher. (Contains two tables and nine references.) (SLD)},
File = {Edirisooriya1995.pdf:Edirisooriya1995.pdf:PDF},
Keywords = {Employees; Error of Measurement; Goodness of Fit; Predictor Variables; Regression (Statistics); Research Methodology; Salaries; Sample Size},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.24},
Url = {http://www.eric.ed.gov/}
}
@Article{EdwardsEtAl1965,
Title = {A method for cluster analysis},
Author = {Edwards, A. W. F. and Cavalli-Sforza, L. L.},
Journal = {Biometrics},
Pages = {362-375},
Volume = {21},
Year = {1965},
Number = {2},
Abstract = {A method for investigating the relationships of points in multi-dimensional space is described. Using an analysis of variance technique, the points are divided into the two most-compact clusters, and the process repeated sequentially so that a `tree' diagram is formed. The application of the method to problems of classification is particularly stressed, and numerical examples are given.},
Copyright = {Copyright © 1965 International Biometric Society},
File = {EdwardsEtAl1965.pdf:EdwardsEtAl1965.pdf:PDF},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Jun., 1965},
Keywords = {multiple comparison; scott-knott},
Language = {English},
Publisher = {International Biometric Society},
Url = {http://www.jstor.org/stable/2528096}
}
@Techreport{EF2011,
Title = {Índice de proficiência em inglês da EF},
Address = {Cambridge},
Author = {EF},
Pages = {21},
Year = {2011},
Institution = {Education First - EF},
Owner = {pccli},
Timestamp = {2011.12.22},
Url = {http://www.ef.com.br/sitecore/}
}
@Book{Efron1982,
Title = {The jackknife, the bootstrap and other resampling plans},
Address = {Philadelphia},
Author = {Bradley Efron},
Pages = {92},
Publisher = {Society for Industrial and Applied Mathematics},
Year = {1982},
File = {Efron1982.pdf:Book/Efron1982.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Techreport{EfronEtAl1995,
Title = {Cross-validation and the bootstrap: estimating the error rate of a prediction rule},
Address = {Stanford},
Author = {Efron, Bradley and Tibshirani, Robert},
Pages = {28},
Year = {1995},
File = {EfronEtAl1995.pdf:EfronEtAl1995.pdf:PDF},
Institution = {Stanford University},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.08},
Url = {http://statistics.stanford.edu/~ckirby/techreports/BIO/BIO%20176.pdf}
}
@Book{EfronEtAl1993,
Title = {An introduction to the bootstrap},
Address = {New York},
Author = {Efron, B. and Tibshirani, R. J.},
Pages = {436},
Publisher = {Chapman and Hall},
Year = {1993},
File = {EfronEtAl1993.pdf:Book/EfronEtAl1993.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{EgliEtAl2006,
Title = {Effect of north and south exposure on weathering rates and clay mineral formation in Alpine soils},
Author = {Markus Egli and Aldo Mirabella and Giacomo Sartori and Remo Zanelli and Simone Bischof},
Journal = {Catena},
Pages = {155 - 174},
Volume = {67},
Year = {2006},
Number = {3},
Abstract = {A comparison was made between two soil climosequences on north- and south-facing slopes in northern Italy to determine the influence of slope aspect on soil processes. The climosequences span an elevational gradient ranging from moderate (1200 m a.s.l.) to high alpine (2420 m a.s.l.) climate zones on surfaces having an age of about 15 000 years. The soils were investigated with respect to organic C, oxalate and dithionite extractable Fe, Al and Si, elemental losses (Ca, Mg, K, Na, Fe, Al, Si, Mn) and clay minerals. The stocks of soil org. C as well as of oxalate-extractable Fe and Al was greatest in the subalpine zone near the timberline. There are no clear differences in organic C content between the soils on north- and south-facing sites. Fe-oxalate and to a lesser extent Alo-stocks were, however, greater on north-facing sites, indicating that weathering is greater there. Eluviation and illuviation of Al and Fe within the soil profile, typical for podzolisation, was more distinctly expressed on the N slopes. The probability of ITM (Imogolite-type-material) formation in the soil seemed to be greater on south-facing sites. On the north-facing sites, element leaching was most intense in the subalpine zone close to the timberline while on the south-facing sites this was only the case for the base cations. The N slopes exhibited higher leaching of elements which generally indicates a higher weathering intensity. On south-facing sites, typical podzolisation processes were measurable only above 2000 m a.s.l. The development of smectites is also a reflection of the weathering intensity; smectite was discernible in the surface horizon at all sites on N slopes but the highest amount was detected in the sub-alpine climate zone. For the south-facing sites only in the alpine climate zone could smectite be detected. Higher temperatures and an increased number of freeze-thaw cycles on south-facing slopes should theoretically enhance rates of chemical weathering. This could, however, not be confirmed with our measurements. The degree of chemical weathering increases from the south- to the north-facing sites that are characterised by lower temperatures, lower evapotranspiration and consequently by a higher humidity. Although precipitation in Alpine regions is abundant, the availability and flux of water through the soil is the prime factor in weathering intensity.},
Doi = {DOI: 10.1016/j.catena.2006.02.010},
File = {EgliEtAl2006.pdf:Catena/EgliEtAl2006.pdf:PDF},
ISSN = {0341-8162},
Keywords = {Alps; Climosequence; Slope aspect; Smectite; Weathering; Elemental losses},
Url = {http://www.sciencedirect.com/science/article/B6VCG-4JX37C3-1/2/1b70a6e26cc1e11926e58a1f0d817bec}
}
@Phdthesis{Ehlschlaeger1998,
Title = {The stochastic simulation approach: tools for representing spatial application uncertainty},
Author = {Charles Robert Ehlschlaeger},
Pages = {230},
School = {University of California},
Year = {1998},
Address = {Santa Barbara},
File = {Ehlschlaeger1998.pdf:Ehlschlaeger1998.pdf:PDF},
Keywords = {redemds; dem; uncertainty},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.03}
}
@Article{EhlschlaegerEtAl1997,
Title = {Visualizing spatial data uncertainty using animation},
Author = {Charles R. Ehlschlaeger and Ashton M. Shortridge and Michael F. Goodchild},
Journal = {Computers and Geosciences},
Pages = {387-395},
Volume = {23},
Year = {1997},
Note = {<ce:title>Exploratory Cartograpic Visualisation</ce:title>},
Number = {4},
Abstract = {This paper examines methodologies for dynamically displaying information about uncertainty. Modeling uncertainty in elevation data results in the generation of dozens or hundreds of realizations of the elevation surface. Producing animations of these surfaces is an approach to exploratory data visualization that may assist the researcher in understanding the effect of uncertainty on spatial applications as well as in communicating the results of the research to a wider audience. A nonlinear method for interpolation between the surface realizations is introduced which allows for smooth animation while maintaining the surface characteristics prescribed by the uncertainty model.},
Doi = {10.1016/S0098-3004(97)00005-8},
File = {EhlschlaegerEtAl1997.pdf:EhlschlaegerEtAl1997.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Animation; Uncertainty; Spatial data; Digital elevation model; Optimal route; Random fields; redemds; dem;},
Url = {http://www.sciencedirect.com/science/article/pii/S0098300497000058}
}
@Article{Eisenhauer2003,
Title = {Regression through the origin},
Author = {Joseph G. Eisenhauer},
Journal = {Teaching Statistics},
Pages = {76-80},
Volume = {25},
Year = {2003},
Abstract = {his article describes situations in which regression through the origin is appropriate, derives the normal equation for such a regression and explains the controversy regarding its evaluative statistics. Differences between three popular software packages that allow regression through the origin are illustrated using examples from previous issues of Teaching Statistics.},
File = {Eisenhauer2003.pdf:teaching_statistics/Eisenhauer2003.pdf:PDF},
Keywords = {Coefficient of determination},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.08}
}
@Article{EldeiryEtAl2008,
Title = {Detecting soil salinity in alfalfa fields using spatial modeling and remote sensing},
Author = {Eldeiry, A. A. and Garcia, Luis A.},
Journal = {Soil Science Society of America Journal},
Pages = {201-211},
Volume = {72},
Year = {2008},
Number = {1},
Doi = {10.2136/sssaj2007.0013},
File = {EldeiryEtAl2008.pdf:EldeiryEtAl2008.pdf:PDF},
ISSN = {1435-0661},
Keywords = {PhDpaper1;},
Owner = {alessandro},
Publisher = {Soil Science Society of America}
}
@Article{El-FadelEtAl1997,
Title = {Environmental impacts of solid waste landfilling},
Author = {Mutasem El-Fadel and Angelos N. Findikakis and James O. Leckie},
Journal = {Journal of Environmental Management},
Pages = {1-25},
Volume = {50},
Year = {1997},
Keywords = {landfill, solid waste disposal, biodegradation, gas and leachate generation, environmental impacts, control methods.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://dx.doi.org/10.1006/jema.1995.0131}
}
@Article{EllerbrockEtAl1999,
Title = {Characterization of soil organic matter from a sandy soil in relation to management practice using FT-IR spectroscopy},
Author = {Ruth H. Ellerbrock and A. Höhn and H.H. Gerke},
Journal = {Plant and Soil},
Pages = {55-61},
Volume = {213},
Year = {1999},
Abstract = {Previous results from differently fertilized long-term ?eld experiments on a sandy soil suggested that the chemical composition of soil organic matter (SOM) is affected by fertilization. The objective of this paper is to con?rm this ?nding for a site with higher soil-clay contents. Four combinations of different fertilizer treatments at long-term ?eld experiment located at a sandy loam were selected: liquid manure (LM), liquid manure+N (LM+N), straw+N (S+N) and mineral nitrogen only (N). Soil organic matter was extracted using sodium pyrophosphate solution at pH of 10 and hot water. The extracts were analyzed using Fourier-Transform infrared spectroscopy. The results indicate that the composition of SOM from the hot water extracts did not show signi?cant differences while the sodium pyrophosphate extracted SOM is affected by the type of fertilization. Soil samples fertilized with LM+N and S+N show the highest intensity of the carboxyl band. This can be explained by the fact that the combination of S+N fertilization with green manure leads to an enrichment of carboxyl groups in SOM. Differences between the band intensities of the treatments for the SOM samples are, however, not as distinct as for the sandy soil samples. This is possibly a result of the higher clay content and lower age of the long-term experiment at the sandy loam site. The intensity of the carboxyl band of the SOM is correlated with the cation exchange capacity of the soil samples. The composition of SOM may, in addition to the SOM content, be used for studying quantitative effects of different management practices or even land use changes on soil properties.},
Keywords = {fertilization, FT-IR spectroscopy, long-term experiment, management effects, soil organic matter},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.springerlink.com/index/W565J776367R4767.pdf}
}
@Book{El-Rabbany2002,
Title = {{Introduction to GPS - The Global Positioning System}},
Address = {Norwood},
Author = {Ahmed El-Rabbany},
Pages = {176},
Publisher = {Artech House},
Year = {2002},
Edition = {1},
File = {ElRabbany2002.pdf:ElRabbany2002.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.16}
}
@Book{Embrapa2006,
Title = {Brazilian system of soil classification},
Address = {Rio de Janeiro},
Author = {Embrapa},
Pages = {306},
Publisher = {Embrapa Solos},
Year = {2006},
Edition = {2},
Owner = {Administrador},
Timestamp = {2011.01.05}
}
@Book{EMBRAPA2000,
Title = {Reunião de correlação, classificação e aplicação de levantamentos de solos - guia de excursão de estudos de solos nos Estados do Rio Grande do Sul, Santa Catarina e Paraná},
Author = {EMBRAPA},
Pages = {222},
Publisher = {Colombo: Embrapa Florestas; Rio de Janeiro: Embrapa Solos; Campinas: IAC},
Year = {2000},
Edition = {6},
Owner = {Administrador},
Timestamp = {2011.02.15}
}
@Techreport{EMBRAPASOLOS200x,
Title = {Nomeclatura de Horizontes e Camadas de Solos - Síntese de Definições e Designações de Horizontes e Camadas de Solos},
Address = {Rio de Janeiro},
Author = {{EMBRAPA SOLOS}},
Publisher = {EMBRAPA - Serviço Nacional de Levantamento e Conservação de Solos},
Year = {200x},
Note = {(Atas e Comunicados)},
File = {EMBRAPASOLOS200x.pdf:EMBRAPASOLOS200x.pdf:PDF},
Url = {http://www.cnps.embrapa.br/sibcs/atas/ata05.html}
}
@InCollection{EmeisEtAl2009,
Title = {Applications in Meteorology},
Author = {S. Emeis and H.R. Knoche},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {26},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {603 - 622},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {10.1016/S0166-2481(08)00026-3},
File = {EmeisEtAl2009.pdf:EmeisEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {meteorological applications of geomorphometry; ruggedness; roughness;},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Book{vanEngelenEtAl2012,
Title = {Global and National Soils and Terrain Databases (SOTER). Procedures Manual, version 2.0, draft for comments},
Address = {Wageningen},
Author = {van Engelen, VWP and Dijkshoorn, JA},
Pages = {192},
Publisher = {ISRIC – World Soil Information},
Year = {2012},
Note = {ISRIC Report 2012/04},
File = {vanEngelenEtAl2012.pdf:vanEngelenEtAl2012.pdf:PDF},
Keywords = {FAO;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.14}
}
@Book{vanEngelenEtAl1995,
Title = {Global and National Soils and Terrain Digital Databases (SOTER). Procedures Manual (revised edition)},
Address = {Wageningen},
Author = {van Engelen, V.W.P. and T.T. Wen},
Pages = {125},
Publisher = {ISRIC – World Soil Information},
Year = {1995},
File = {vanEngelenEtAl1995.pdf:vanEngelenEtAl1995.pdf:PDF},
Keywords = {FAO;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.14}
}
@InCollection{EngleEtAl2010,
Title = {Digital Soil Boundary Detection Using Quantitative Hydrologic Remote Sensing},
Author = {Engle, E.M. and Harrison, J.B.J. and Hendrickx, J.M.H. and Borchers, B.},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {123-136},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_11},
File = {EngleEtAl2010.pdf:EngleEtAl2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {Remote sensing; Boundary detection; Surface Energy Balance Algorithm for Land (SEBAL); Split moving window; Soil mapping},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_11}
}
@Article{EpsteinEtAl1998,
Title = {A cortical representation of the local visual environment},
Author = {Epstein, Russell and Kanwisher, Nancy},
Journal = {Nature},
Pages = {598-601},
Volume = {392},
Year = {1998},
Month = apr,
Number = {6676},
Comment = {10.1038/33402},
File = {EpsteinEtAl1998.pdf:EpsteinEtAl1998.pdf:PDF},
ISSN = {0028-0836},
Keywords = {space; perception; environment; psychology; distance; enclosure;},
Owner = {alessandro},
Publisher = {Macmillan Magazines Ltd.},
Timestamp = {09.09.2013},
Url = {http://dx.doi.org/10.1038/33402}
}
@Article{EricksenEtAl2003,
Title = {Similarities and differences between farmer and scientist views on soil quality issues in central {H}onduras},
Author = {P.J. Ericksen and M. Ardón},
Journal = {Geoderma},
Pages = {233-248},
Volume = {111},
Year = {2003},
Abstract = {This research explores the commonalities and differences between local farmers? understanding of soil quality in a small catchment in central Honduras and that of a US soil scientist. The authors investigated the ways in which the local farmers categorized and managed soils and land uses. The US soil scientist also conducted independent measurements and analyses for varying indicators of soil quality throughout the catchment. There were both differences and similarities between the two views of soil quality. Farmers? understanding of soil quality was heavily influenced by the fact that agricultural production was their primary concern, while the soil scientist had a more holistic view of plant productivity. Broader scale movement of soil and water was not a particular concern of the farmers, despite the occurrence of mass wasting and slumping every year. Landform type was a key management variable for both, however, as were soil texture and drainage patterns.},
File = {:Geoderma/Ericksen & Ardón_Geoderma_2003.pdf:PDF},
Keywords = {Indicators; Local soil knowledge; Soil quality; Central Honduras},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002665}
}
@Article{EscosteguyEtAl2007,
Title = {Soil organic matter determination by weight loss-on-ignition in samples from the state of Rio Grande do Sul, Brazil},
Author = {Pedro Alexandre Varella Escosteguy and Katiusca Galliassi and Carlos Alberto Ceretta},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {247-255},
Volume = {31},
Year = {2007},
Abstract = {A busca de métodos que possibilitam a determinação do teor de matéria orgânica (MO) do solo e que não geram resíduos danosos ao ambiente é importante. A oxidação da MO com dicromato é amplamente utilizada no Brasil, gerando resíduos laboratoriais que contêm Cr. Este trabalho teve por objetivo avaliar o método da perda de massa por ignição (PMI), em comparação ao método da combustão úmida usando a solução sulfocrômica, utilizado na Rede Oficial de Laboratórios de Análise de Solo e de Tecido Vegetal dos Estados do Rio Grande do Sul e de Santa Catarina (ROLAS). Os resultados obtidos com a PMI também foram comparados com os do método-padrão de Walkley-Black, que também emprega o dicromato. Foram utilizados os resultados de amostras de solo de 19 unidades de mapeamento do Rio Grande do Sul (RS) e de 49 amostras da Depressão Central deste Estado. As 19 amostras incluíram: Vertissolo (1), Gleissolos (2), Argissolos (6), Luvissolo (1), Neossolo (1), Latossolos (3), Plintossolo (1), Planossolo (1), Alissolo (1), Nitossolo (1) e Chernossolo (1). As amostras da Depressão Central foram obtidas no Laboratório de Solos da Federal University of Santa Maria. Os teores de MO determinados com a PMI foram, em média, 22 a 94 % maiores que os da solução sulfocrômica e 27 a 46 % maiores que os obtidos com o Walkley-Black, nas amostras da Depressão Central e nas unidades de mapeamento do RS, respectivamente. Houve correlação significativa entre a PMI e os métodos com dicromato. Os resultados indicam que o método PMI pode ser usado na análise do teor de MO do solo em substituição aos que empregam o dicromato. Para isso, equações que possibilitam calcular o teor de MO usando a PMI devem ser desenvolvidas para a maioria das classes de solos do RS.},
File = {EscosteguyEtAl2007.pdf:Revista Brasileira de Ciência do Solo/EscosteguyEtAl2007.pdf:PDF},
Keywords = {cromo, análise de solo, carbono orgânico, contaminação, comparação de métodos; soc methods;},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://dx.doi.org/10.1590/S0100-06832007000200007}
}
@Book{Espindola2008,
Title = {Retrospectiva crítica sobre a pedologia - um repasse biliográfico},
Author = {Carlos Roberto Espindola},
Pages = {397},
Publisher = {Campinas: Editora da Unicamp},
Year = {2008},
Edition = {1},
Owner = {pccli},
Timestamp = {2011.12.28}
}
@Book{Essington2004,
Title = {Soil and water chemistry - an integrative approach},
Address = {Boca Raton},
Author = {Michael E. Essington},
Pages = {534},
Publisher = {CRC Press},
Year = {2004},
Edition = {1},
File = {Essington2004.pdf:Book/Essington2004.pdf:PDF},
Keywords = {the soil concept;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{EusterhuesEtAl2003,
Title = {Stabilisation of soil organic matter by interactions with minerals as revealed by mineral dissolution and oxidative degradation},
Author = {Karin Eusterhues and Cornelia Rumpel and Markus Kleber and Ingrid Kögel-Knabner},
Journal = {Organic Geochemistry},
Pages = {1591-1600},
Volume = {34},
Year = {2003},
Abstract = {Soil organic matter is known to contain a stable fraction with an old radiocarbon age. Size and stabilisation processes leading to the formation of this old soil carbon pool are still unclear. Our study aims to di?erentiate old organic matter from young and labile carbon compounds in two acid forest soils (dystric cambisol, haplic podzol). To identify such fractions soil samples were exposed to oxidation with Na 2 S 2 O 8 and to dissolution by hydro?uoric acid (HF). A negative correlation between 14 C activity and carbon release after dissolution of the mineral matrix by HF indicates a strong association of stabilised carbon compounds with the mineral phase. A negative correlation between the 14 C activity and the relative proportion of carbon resistant to oxidation by Na 2 S 2 O 8 shows that young carbon is removed preferentially by this treatment. The fraction remaining after oxidation represents a certain stabilised, long residence time carbon pool. This old fraction comprises between 1 and 30% of the total soil organic carbon in the surface hor- izons, but reaches up to 80% in the sub-surface horizons. Old OC is mainly stabilised by organo-mineral associations with clay minerals and/or iron oxides, whereas intercalation in clay minerals was not found to be important.},
Doi = {10.1016/j.orggeochem.2003.08.007},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{EvangelouEtAl2006,
Title = {Evaluation of the effect of small organic acidson phytoextraction of Cu and Pb from soil with tobacco Nicotiana tabacum},
Author = {Michael W.H. Evangelou and Mathias Ebel and Andreas Schaeffer},
Journal = {Chemosphere},
Pages = {996-1004},
Volume = {63},
Year = {2006},
Abstract = {Phytoremediation, the use of plants to extract contaminants from soils and groundwater, is a promising approach for cleaning up soils contaminated with heavy metals. However its use is limited by the time required for plant growth, the nutrient supply and, moreover, by the limited metal uptake capacity. Synthetic chelators have shown positive e?ects in enhancing heavy metal extraction, but they have also revealed several negative side-e?ects. The objective of this study was to investigate the use of three natural low molecular weight organic acids (NLMWOA) (citric, oxalic, and tartaric acid) as an alternative to synthetic chelators. Slurry-, column-, toxicity- and phytoextraction experiments were per- formed. For the phytoextraction experiment the three NLMWOA were applied to a copper- and a lead-contaminated soil respectively. A signi?cant increase in copper uptake was visible only in the citric acid treatment (67 mg kg 1 ) in comparison to the EDTA treatment (42 mg kg 1 ). The NLMWOA application showed no enhanced e?ect concerning the lead phytoextraction. A possible explanation for this lack of signi?cance could be the rate of the degradation of NLMWOA. This rate might well be too high for these heavy metals with low mobility and bioavailability such as lead. The amounts of NLMWOA applied to the soil were very high (62.5 mmol kg 1 of soil) and the e?ect was too little. In this respect EDTA, which was applied in very small amounts (0.125 mmol kg 1 ) was more e?cient. Thus making NLMWOA unsuitable to enhance phytoextraction of heavy metals from soil.},
Doi = {10.1016/j.chemosphere.2005.08.042},
File = {:Chemosphere/Evangelou et al_Chemosphere_2006.pdf:PDF},
Keywords = {Phytoremediation; Heavy metals; Organic acids; Chelate assisted; Tobacco},
Owner = {Administrador},
Timestamp = {2010.12.29}
}
@InCollection{EvansEtAl2009,
Title = {Applications in Geomorphology},
Author = {I.S. Evans and Tomislav Hengl and P. Gorsevski},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {22},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {497 - 525},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {10.1016/S0166-2481(08)00022-6},
File = {EvansEtAl2009.pdf:EvansEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {geomorphological processes and forms; ruggedness; roughness;},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Book{EvansEtAl2000,
Title = {Statistical distributions},
Author = {Merran Evans and Nicholas Hastings and Brian Peacock},
Pages = {251},
Publisher = {John Wiley and Sons : New York},
Year = {2000},
Edition = {3},
File = {EvansEtAl2000.pdf:Book/EvansEtAl2000.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Book{Everitt2006,
Title = {The {C}ambridge dictionary of statistics},
Address = {Cambridge},
Author = {B. S. Everitt},
Pages = {432},
Publisher = {Cambridge University Press},
Year = {2006},
Edition = {3},
File = {Everitt2006.pdf:Book/Everitt2006.pdf:PDF},
Keywords = {significance, multiple comparison; sampling strategy;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.15}
}
@Book{Everitt2005,
Title = {An R and S-Plus® Companion to Multivariate Analysis},
Address = {London},
Author = {Everitt, Brian S.},
Pages = {221},
Publisher = {Springer},
Year = {2005},
File = {Everitt2005.pdf:Everitt2005.pdf:PDF},
Url = {http://www.springer.com/mathematics/probability/book/978-1-85233-882-4}
}
@Article{Ewens2003,
Title = {On estimating p values by {M}onte {C}arlo methods},
Author = {Ewens, Warren J},
Journal = {American Journal of Human Genetics},
Pages = {496-498},
Volume = {72},
Year = {2003},
Month = feb,
Number = {2},
Comment = {024452[PII] 12596794[pmid]},
File = {Ewens2003.pdf:Ewens2003.pdf:PDF},
ISSN = {1537-6605},
Owner = {alessandro},
Publisher = {The American Society of Human Genetics},
Timestamp = {04.12.2014},
Url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC529334/}
}
@Article{Faber2002,
Title = {Uncertainty estimation for multivariate regression coefficients},
Author = {Nicolaas (Klaas) M Faber},
Journal = {Chemometrics and Intelligent Laboratory Systems},
Pages = {169-179},
Volume = {64},
Year = {2002},
Number = {2},
Abstract = {Five methods are compared for assessing the uncertainty in multivariate regression coefficients, namely, an approximate variance expression and four resampling methods (jack-knife, bootstrapping objects, bootstrapping residuals, and noise addition). The comparison is carried out for simulated as well as real near-infrared data. The calibration methods considered are ordinary least squares (simulated data), partial least squares regression, and principal component regression (real data). The results suggest that the approximate variance expression is a viable alternative to resampling.},
Doi = {10.1016/S0169-7439(02)00102-8},
File = {Faber2002.pdf:Faber2002.pdf:PDF},
ISSN = {0169-7439},
Keywords = {Multivariate calibration; Regression vector; Uncertainty estimation; Resampling; Jack-knife; Bootstrap; Monte Carlo simulation; OLS; PLSR; PCR; NIR; redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0169743902001028}
}
@Electronic{FAO2012,
Title = {Global Soil Partnership - strategic objectives},
Author = {FAO},
Month = {August},
Url = {http://www.fao.org/nr/water/},
Year = {2012},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.03}
}
@Book{FAO2007,
Title = {Land evaluation - towards a revised framework},
Address = {Roma},
Author = {FAO},
Pages = {107},
Publisher = {Food and Agriculture Organization of the United Nations},
Year = {2007},
Note = {Land and Water Discussion Paper No. 6},
File = {Fao2007.pdf:manual/Fao2007.pdf:PDF},
Keywords = {Minimum decision area; the soil concept; the land concept; hudson;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@Book{FAO2006,
Title = {Guidelines for soil description},
Address = {Rome},
Author = {FAO},
Pages = {97},
Publisher = {FAO},
Year = {2006},
Edition = {4},
File = {FAO2006.pdf:FAO2006.pdf:PDF},
Keywords = {manual;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.16},
Url = {ftp://ftp.fao.org/agl/agll/docs/guidel_soil_descr.pdf}
}
@Electronic{FAO2005,
Title = {The FAO voluntary guidelines for the right to food: lasting solutions against hunger},
Author = {FAO},
Url = {http://www.fao.org/righttofood/KC/downloads/vl/docs/},
Year = {2005},
Journal = {Disponível em: <http://www.fao.org/righttofood/KC/downloads/vl/docs/AH269_en.pdf>. Acesso em: 27 dez. 2011.},
Owner = {pccli},
Pages = {4},
Timestamp = {2011.12.29}
}
@Book{Fao2012,
Title = {Harmonized World Soil Database},
Author = {FAO/IIASA/ISRIC/ISS-CAS/JRC},
Pages = {42},
Publisher = {Rome: FAO / Laxenburg: IIASA},
Year = {2012},
Edition = {1.2},
File = {Fao2012.pdf:Fao2012.pdf:PDF},
Keywords = {fao; manual;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.14}
}
@Book{Faraway2002,
Title = {Practical regression and ANOVA using R},
Author = {Faraway, Julian J},
Publisher = {University of Bath},
Year = {2002},
File = {Faraway2002.pdf:Faraway2002.pdf:PDF},
Keywords = {linear models; regression;},
Owner = {alessandro},
Url = {http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf}
}
@Electronic{Faria2007,
Title = {FMI e a Dívida Externa Brasileira},
Author = {Caroline Faria},
Url = {http://www.infoescola.com/geografia/fmi-e-a-divida-externa-brasileira/},
Year = {2007},
Journal = {Disponível em: <http://www.infoescola.com/geografia/fmi-e-a-divida-externa-brasileira/>. Acesso em: 27 dez. 2011.},
Owner = {pccli},
Timestamp = {2011.12.29}
}
@Mastersthesis{Farias2008,
Title = {Produção de sedimentos em bacias hidrográficas sob diferentes contextos geoambientais: medida e modelagem},
Author = {Teresa Raquel Lima Farias},
Pages = {126},
School = {Universidade Federal do Ceará},
Year = {2008},
Abstract = {Avaliações de produção de sedimentos em bacias hidrográficas são necessárias quando se deseja melhorar a qualidade da análise técnica, contribuindo para uma avaliação consistente da disponibilidade hídrica e, consequentemente, para a gestão dos recursos hídricos. O objetivo geral da pesquisa foi avaliar a produção de sedimentos em bacias hidrográficas sob a influência de diferentes contextos geoambientais. Três pequenas bacias foram monitoradas: a Bacia Experimental de Aiuaba, com área de drenagem de 12,0 km 2 , localizada em uma área de conservação ambiental do bioma caatinga, no sertão dos Inhamus, sob clima semi-árido; e as Bacias de Pai João (9,3 km 2 ) e Santo Antônio (6,8 km 2 ), localizadas no maciço de Baturité, sob clima tropical sub-úmido, que se encontram impactadas por ações antrópicas, particularmente agricultura. A caracterização das bacias mostrou que Aiuaba, Pai João e Santo Antônio têm respectivamente, percentual de cobertura vegetal natural de 100%, 86% e 76% e regime predominante de escoamento efêmero, intermitente e perene. Realizou-se monitoramento no ano de 2007, de variáveis hidrossedimentológicas nestas áreas. A estimativa anual de produção de sedimentos foi feita através da determinação de descargas líquidas e sólidas afluentes no exutório, e de equações de curvas-chave de sedimentos a partir destes dados. Nas bacias de Pai João e Santo Antônio, as cargas de leito foram estimadas por meio de simulação com o modelo EB (equações de Einstein e Brown), por não ter sido possível a medição desta parcela. Realizou-se ainda avaliação do modelo HIDROSED2 na estimativa de produção de sedimentos nas áreas. Na bacia de Aiuaba realizou-se simulação para o período de 2003 a 2007 e os resultados foram comparados com os medidos indiretamente (curva-chave). Nas Bacias de Pai João e Santo Antônio o modelo foi apenas calibrado, com base em alguns eventos monitorados em 2007. Na avaliação da produção de sedimentos nas bacias de Aiuaba, Pai João e Santo Antônio, os valores obtidos foram respectivamente 1, 136 e 686 ton.km -2 .ano -1 . Observa-se que a ordem de grandeza da produção de sedimentos aumenta com o nível de degradação ambiental. Entretanto, não é possível traçar conclusões unicamente em função do uso do solo, pois outros fatores influenciam a produção de sedimentos. Na avaliação individual de eventos nas três bacias o modelo HIDROSED2 não apresentou resultados satisfatórios para os pequenos eventos. Por outro lado, na estimativa anual e de eventos intensos de produção de sedimentos o modelo apresentou resultados satisfatórios em comparação com as medidas. Os resultados sugerem: (1) foi verificada correlação direta entre a degradação ambiental e a produção de sedimentos quantificada nas bacias estudadas; (2) a modelagem deve ser aprimorada com base na física de processos; (3) ainda há necessidade de monitoramento de variáveis hidrológicas e sedimentológicas com a elaboração de bancos de dados em bacias hidrográficas do Estado do Ceará, contribuindo para a implantação de instrumentos de gestão dos recursos hídricos.},
Keywords = {Produção de sedimentos, contexto geo-ambiental, bacias hidrográficas},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.07.2010}
}
@Article{FarrarEtAl1967,
Title = {Multicollinearity in regression analysis: the problem revisited},
Author = {Farrar, Donald Eugene and Glauber, Robert R},
Journal = {The Review of Econonomics and Statistics},
Pages = {92-107},
Volume = {49},
Year = {1967},
Abstract = {A point of view as well as a collection of techniques is advocated here. The techniques - in this case a series of diagnostics - can be formulated and illustrated explicitly. The spirit in which they are developed, however, is more difficult to convey. Given a point of view, techniques that support it may be replaced quite easily; the converse seldom is true. An effort will be made, therefore, to summarize our approach to multicollinearity and to contrast it with alternative views of the problem. Multicollinearity as defined here is a statistical, rather than a mathematical condition. As such, one thinks, and speaks, in terms of the problem's severity rather than of its existence or non-existence. As viewed here, multicollinearity is a property of the independent variable set alone. No account whatever is taken of the extent, or even the existence, of dependence between y and X. It is true, of course, that the effect on estimation and specification of interdependence in X - reflected by variances of estimated regression coefficient, and a tendency toward misspecification - also depends partly on the strength of dependence between y and X. In order to treat the problem, however, it is important to distinguish between nature and effects, and to develop diagnostics based on the former. In our view an independent variable set X is not less multicollinear if related to one dependent variable than if related to another, even though its effects may be more serious in one case than the other. Of multicollinearity's effects on the structural integrity of estimated econometric models - estimation instability and structural misspecification - the latter, in our view, is the more serious. Sensitivity of parameter estimates to changes in specification, sample coverage, etc., is reflected at least partially in the standard deviations of estimated regression coefficients. No indication at all exists, however, of the bias imparted to coefficient estimates by incorrectly},
File = {FarrarEtAl1967.pdf:The Review of Econonomics and Statistics/FarrarEtAl1967.pdf:PDF},
Keywords = {principal component regression},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.15},
Url = {http://hdl.handle.net/1721.1/48530}
}
@Article{Favis-MortlockEtAl1996,
Title = {The GCTE validation of soil erosion models for global change studies},
Author = {David T. Favis-Mortlock and John N. Quinton and W. Trevor Dickinson},
Journal = {Journal of Soil and Water Conservation},
Pages = {397-403},
Volume = {51},
Year = {1996},
Abstract = {The Global Climate and Terrestrial Ecosystem Core Project (GCTE) has developed a paradigm for evaluating the validity of soil erosion models. The paradigm takes into consideration various aspects of the modeling process, including model selection, data gathering and model calibration. Aside from ensuring the validity of mathematical models, the GCTE paradigm helps in the development of new soil erosion research tools.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {27.07.2010},
Url = {http://www.jswconline.org/content/51/5/397.extract}
}
@Article{Favrot1981,
Title = {Pour une approche raisonnée du drainage agricole en France: La méthode des secteurs de référence},
Author = {Favrot, J. C.},
Journal = {C.R. Académie d’Agriculture de France},
Pages = {716-723},
Year = {1981},
Owner = {alessandro},
Timestamp = {09.10.2013}
}
@Book{Fawcett2014,
Title = {Translation and language: linguistic theories explained},
Address = {Oxon},
Author = {Peter Fawcett},
Pages = {170},
Publisher = {Routledge},
Year = {2014}
}
@Article{Fent2004,
Title = {Ecotoxicological effects at contaminated sites},
Author = {Karl Fent},
Journal = {Toxicology},
Pages = {223?240},
Volume = {205},
Year = {2004},
Doi = {10.1016/j.tox.2004.06.060},
Keywords = {Ecotoxicology; Bioavailability; Organotins; Cytochrome P450 induction; Contaminated sites; Environmental risk assessment; PAH},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{Fent2003,
Title = {Ecotoxicological problems associated with contaminated sites},
Author = {Karl Fent},
Journal = {Toxicology Letters},
Pages = {353-365},
Volume = {140-141},
Year = {2003},
Doi = {10.1016/S0378-4274(03)00032-8},
Keywords = {Ecotoxicology; Bioavailability; Organotins; Fish cell lines; Cytochrome P450},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{FernandesEtAl1999,
Title = {Alterações na matéria orgânica de um Podzol Hidromórfico pelo uso com pastagens cultivadas no Pantanal mato-grossense},
Author = {Fernando Antonio Fernandes and Carlos Clemente Cerri and Ana Helena Bergamin Marozzi Fernandes},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {1943-1951},
Volume = {34},
Year = {1999},
Abstract = {Este trabalho foi conduzido visando avaliar as alterações na matéria orgânica (carbono e nitrogênio) de um Podzol Hidromórfico decorrentes da introdução de Brachiaria decumbens Stapf. Prain., em área de cerrado não-inundável, no Pantanal Mato-Grossense. A amostragem foi realizada em áreas sob pastagem cultivada com 10 e 20 anos de implantação e sob cerrado nativo. Foram abertas trincheiras de 1,5 m de profundidade no topo do terreno de cada área e coletadas amostras de solo até 1m de profundidade, para estudo das variações nos conteúdos de C e N no perfil. Também foram coletadas amostras até a profundidade de 40 cm ao longo de dois transectos, para cálculo dos estoques de C e N das áreas. Foram feitas determinações de C e N para todas as amostras, e fracionamento químico de C para uma amostra composta da camada 0-20 cm para cada área. Foi observada redução de 28% no conteúdo de C na camada de 0-40 cm após 20 anos de cultivo. A proporção relativa das frações húmicas também foi alterada em função da introdução da pastagem. No cerrado nativo predominou a fração ácido fúlvico; sob pastagem de dez anos, humina; e sob pastagem de 20 anos, ácido fúlvico novamente. Com relação ao nitrogênio, não foi observada diferença significativa nos conteúdos entre as áreas estudadas.},
Keywords = {carbono orgânico, nitrogênio, fracionamento, frações húmicas},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/pab/v34n10/7196.pdf}
}
@Article{FerreiraEtAl1999,
Title = {Multiple comparisons in experiments with great number of treatments - use of {Scott-Knott's test}},
Author = {Ferreira, D. F. and Muniz, J. A. and Aquino, L. H.},
Journal = {Ciência Agrotécnica},
Pages = {745-752},
Volume = {23},
Year = {1999},
Number = {3},
Abstract = {The present work aimed to apply Scott - Knott's test to the experimental data studied by Von Pinho et al. (1997) and by Souza, Maluf and Gomes (1997) to present an alternative to researchers that work with the ambiguity of the results of the other multiple comparisons procedures. The results show a clear differentiation of the best treatments, for having eliminated the ambiguity, which is an additional difficulty for the interpretation and for taking decisions.},
File = {FerreiraEtAl1999.pdf:FerreiraEtAl1999.pdf:PDF},
Keywords = {Multiple comparisons, ambiguity, and Scott-Knott test},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.17},
Url = {http://www.editora.ufla.br/}
}
@Article{FerreiraEtAl2005,
Title = {Solar exposure and soil properties in Santa Maria - RS},
Author = {Fernando P. Ferreira and Antônio Carlos Azevedo and D. Wappler and A J Kanieski and D Girelli and J Pedrotti},
Journal = {Revista Brasileira de Agrociência},
Pages = {377-381},
Volume = {11},
Year = {2005},
Abstract = {No hemisfério sul, devido a maior interceptação de radiação solar e consequentemente maior evapotranspiração potencial, diferenças químicas, físicas e morfológicas nos solos desenvolvidos nas faces voltadas para o norte em relação às voltadas para o sul podem surgir nessas faces. O objetivo desse trabalho foi o de verificar diferenças químicas e físicas entre solos nas faces norte e sul da região de Santa Maria ? RS. Foram realizadas análises químicas (M.O., pH, pH-SMP, Al, Ca, Mg, K, P, H+Al, CTC efetiva e potencial, Al% e V%) e físicas (DMG, DMP, EA e teor de argila) de solos desenvolvidos nas superfícies norte e sul na região de Santa Maria, localizada na latitude sul de 29°43?30??. Os resultados foram interpretados através do teste de t de Student e da análise multivariada utilizando o agrupamento não ponderado de pares e adotada a distância Euclidiana como critério de semelhança. Através do teste t de Student, não foi verificada diferença significativa entre as variáveis analisadas, exceto para estabilidade de agregados. A análise de agrupamento separou as amostras da face norte daquelas da face sul. Assim, ainda que estas diferenças sejam pequenas para justificar práticas agrícolas diferenciadas, pode ser interessante considerá-las em estudos pedogenéticos mais detalhados.},
File = {FerreiraEtAl2005.pdf:FerreiraEtAl2005.pdf:PDF},
Keywords = {Pedogênese, geomorfologia, clima.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.ufpel.tche.br/faem/agrociencia/v11n3/artigo21.pdf}
}
@Inbook{FerreiraEtAl2006,
Title = {Sistemas alternativos de tratamento de lixiviados: wetlands construídos e barreiras reativas permeáveis},
Author = {J.A. Ferreira and J.F.T. Jucá and L.P. Gomes and M.C.M. Alves and C.F. Mannarino and C.H.R. Costa and K.G.Q.B. Beltrão},
Booktitle = {Gerenciamento de resíduos sólidos urbanos com ênfase na proteção de corpos d'água: prevenção, geração e tratamento de lixiviados de aterros sanitários},
Pages = {363-423},
Publisher = {Rio de Janeiro: ABES},
Year = {2006},
Chapter = {7},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Inbook{FerreiraEtAl2006a,
Title = {Sistemas alternativos de tratamento de lixiviados: wetlands construídos e barreiras reativas permeáveis},
Author = {J.A. Ferreira and J.F.T. Jucá and L.P. Gomes and M.C.M. Alves and C.F. Mannarino and C.H.R. Costa and K.G.Q.B. Beltrão},
Booktitle = {Gerenciamento de resíduos sólidos urbanos com ênfase na proteção de corpos d'água: prevenção, geração e tratamento de lixiviados de aterros sanitários},
Pages = {363-423},
Publisher = {Rio de Janeiro: ABES},
Year = {2006},
Chapter = {7},
Owner = {alessandro},
Timestamp = {2012.03.03}
}
@Article{FerroEtAl2009,
Title = {Comparing particle size distribution analysis by sedimentation and laser diffraction method},
Author = {Ferro, V. and Mirabile, S.},
Journal = {Journal of Agricultural Engineering},
Pages = {35-43},
Volume = {40},
Year = {2009},
Number = {2},
File = {FerroEtAl2009.pdf:FerroEtAl2009.pdf:PDF},
Url = {http://agroengineering.org/jae/article/view/jae.2009.2.35}
}
@InCollection{FeuerherdtEtAl2006,
Title = {Storage, Maintenance and Extraction of Digital Soil Data},
Author = {C. Feuerherdt and N. Robinson},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {27},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {87 - 95, 604},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {With the advent of today's technologies more and more soil information is being collected. The increased volume of data collected with these technologies poses questions regarding the storage, maintenance and retrieval of these data. This chapter will outline the database structure adopted and engineered by the Victorian Department of Primary Industries (DPI) from the Australian Soil Resource Information System (ASRIS). The database structure, its collection mechanisms, storage, maintenance and retrieval of data will be discussed, focussing on the improved distribution of data by DPI to state, national and international communities.},
Doi = {10.1016/S0166-2481(06)31007-0},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Article{FeuilletEtAl2012,
Title = {Classification of sorted patterned ground areas based on their environmental characteristics (Skagafjörður, Northern Iceland)},
Author = {Thierry Feuillet and Denis Mercier and Armelle Decaulne and Etienne Cossart},
Journal = {Geomorphology},
Pages = {577-587},
Volume = {139-140},
Year = {2012},
Number = {0},
Abstract = {A multivariate statistical method (factor analysis of mixed data and hierarchical classification) was used to classify the environmental settings where sorted patterned ground develops in a wet oceanic periglacial area (Skagafjörður, Northern Iceland). A total of 750 periglacial features, distributed over 75 sites, were studied. Nine explanatory variables were assessed by fieldwork and using a digital elevation model, the variables were subdivided into three groups (latitude, topography and soil characteristics) and then integrated into a geographical information system. Furthermore, a correlation between the environmental variables and an intrinsic variable (patterned ground mesh diameter) was determined by a bivariate test. The results show that sorted patterned ground are spread over three homogenous areas, mostly differentiated by altitude, insolation, grain size characteristics and type of drift. In addition, feature diameters differ significantly from one group to another. Finally, it appears that patterned ground diameters are positively correlated with (i) the proportion of clay to medium silt content (r = 0.35), (ii) altitude (r = 0.51), and especially with (iii) clast length (r = 0.97). This strong relationship with clast length is observed in each homogenous patterned ground area at both site and feature scales.},
Doi = {10.1016/j.geomorph.2011.12.022},
File = {FeuilletEtAl2012.pdf:FeuilletEtAl2012.pdf:PDF},
Keywords = {saga gis; valley depth;},
Url = {http://www.sciencedirect.com/science/article/pii/S0169555X11006362}
}
@Book{Feyerabend1977,
Title = {Contra o método},
Address = {Rio de Janeiro},
Author = {Paul Feyerabend},
Pages = {488},
Publisher = {Livraria Franscisco Alves Editora},
Year = {1977},
Edition = {1},
File = {Feyerabend1977.pdf:Feyerabend1977.pdf:PDF},
Keywords = {filosofia},
Owner = {pccli},
Timestamp = {2011.12.28},
Translation = {Mata, Octanny S da and Leonidas Hegenberg}
}
@Article{FieldEtAl2011,
Title = {Soil Science teaching principles},
Author = {Damien J. Field and Anthony J. Koppi and Lorna E. Jarrett and Lynn K. Abbott and Stephen R. Cattle and Cameron D. Grant and Alex B. McBratney and Neal W. Menzies and Anthony J. Weatherley},
Journal = {Geoderma},
Pages = {9 - 14},
Volume = {167-168},
Year = {2011},
Number = {0},
Abstract = {Soil Science is a unique discipline concerning a complex material that is part of many natural and utilitarian systems. As such, the teaching of Soil Science requires principles that reflect the nature of soil and the practices of soil scientists. Because no discipline-specific teaching principles could be found for Soil Science in the literature, an iterative approach was used to develop them, which involved input from students, academics, employers, graduates in the workplace, as well as published generic teaching principles. The synthesis of these perspectives was achieved via a series of cycles that first involved student feedback on Soil Science teaching from five Australian universities, combined with academic reflections on learning and teaching. The outcome of this activity was subject to perspectives provided by employers of soil scientists and practising soil scientists in the workplace. Quantitative and qualitative analyses of these sources and published generic teaching materials were blended into a set of 11 teaching principles of Soil Science that reflect the unique nature of soil and the outcomes required of graduates who have majored in Soil Science.},
Doi = {10.1016/j.geoderma.2011.09.017},
File = {:Geoderma/Field et al_Geoderma_2011.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Active learning}
}
@Article{FigueiredoEtAl2004,
Title = {Alteração superficial e pedogeomorfologia no sul do Complexo Bação ? Quadrilátero Ferrífero (MG)},
Author = {M. A. Figueiredo and A. F. D. C. Varajão and J. D. Fabris and I. S. Loutfi and A. P. Carvalho},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {713-729},
Volume = {28},
Year = {2004},
Abstract = {Alguns aspectos dos processos de alteração superficial e seus reflexos na pedogeomorfologia Quaternária na sub-bacia do alto Ribeirão Maracujá, no Complexo Bação, Quadrilátero Ferrífero, MG, são aqui caracterizados. São investigados caracteres relativos à dinâmica evolutiva de três vertentes (toposseqüências 1, 2 e 3), situadas sobre gnaisses, mas com graus de erodibilidade diferenciados. Nos segmentos de alta vertente das toposseqüências 1 e 2, os perfis de solos são pouco desenvolvidos e autóctones. Na toposseqüência 3, no mesmo segmento, ocorre um Latossolo com feições de aloctonia. Nos segmentos de meia vertente, das três toposseqüências ocorrem perfis latossólicos espessos, desenvolvidos a partir de sedimentos coluviais provindos da alta vertente. Nos segmentos de baixa vertente, há ruptura nos processos de transporte e deposição dos sedimentos, sendo o perfil de solo da toposseqüência 2 um Latossolo Câmbico autóctone e, nas toposseqüências 1 e 3, perfis desenvolvidos a partir de materiais alúvio-coluviais depositados sobre o saprolito gnáissico. Apesar de a dinâmica evolutiva das três vertentes corroborar os modelos geomorfológicos tropicais até o segmento de meia vertente, a jusante, ruptura do coluvionamento na baixa vertente evidencia um recente desequilíbrio morfodinâmico. Além disso, as evidências micromorfológicas e mineralógicas não sinalizam correlação com susceptibilidade erosiva diferenciada verificada na área.},
File = {:Revista Brasileira de Ciência do Solo/Figueiredo et al_RBCS_2004.pdf:PDF},
Keywords = {intemperismo, micromorfologia, solos gnáissicos},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v28n4/21795.pdf}
}
@Article{FigueiredoEtAl2008,
Title = {Multiple logistic regression applied to soil survey in {R}io {G}rande do {S}ul state, {B}razil},
Author = {Figueiredo, Samuel Ribeiro and Giasson, Elvio and Tornquist, Carlos Gustavo and Nascimento, Paulo César do},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {2779-2785},
Volume = {32},
Year = {2008},
Number = {spe},
Doi = {10.1590/s0100-06832008000700023},
File = {FigueiredoEtAl2008.pdf:FigueiredoEtAl2008.pdf:PDF},
ISSN = {0100-0683},
Owner = {alessandro},
Publisher = {FapUNIFESP (SciELO)},
Timestamp = {03.03.2015}
}
@Article{FilgueirasEtAl2002,
Title = {Chemical sequential extraction for metal partitioning in environmental solid samples},
Author = {A. V. Filgueiras and I. Lavilla and C. Bendicho},
Journal = {Journal of Environmental Monitoring},
Pages = {823-857},
Volume = {4},
Year = {2002},
Abstract = {A comprehensive review of the sequential extraction schemes for metal fractionation in environmental samples (i.e., sediment, soil, sewage sludge, fly ash, etc.) is presented. The review contains more than 400 references and covers principally the literature published over the last decade. The use of each reagent involved in these schemes is looked at critically, and guidelines for their selectivity and extraction capacity are given. The operational character of these schemes is emphasised. Topics such as comparability between sequential extraction schemes of widespread use, harmonisation, acceleration, validation, etc. are addressed and future developments outlined.},
Doi = {10.1039/b207574c},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://www.rsc.org/delivery/}
}
@Article{Filliben1975,
Title = {The probability plot correlation coefficient test for normality},
Author = {James J Filliben},
Journal = {Technometrics},
Pages = {111-117},
Volume = {17},
Year = {1975},
File = {:Technometrics/Filliben_Technometrics_1975.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://engineering.tufts.edu/cee/people/vogel/publications/probability1986.pdf}
}
@Manual{FilzmoserEtAl2012,
Title = {chemometrics: multivariate statistical analysis in chemometrics},
Author = {P. Filzmoser and K. Varmuza},
Year = {2012},
Note = {R package version 1.3.2},
Abstract = {This package is the R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009)},
File = {FilzmoserEtAl2012.pdf:FilzmoserEtAl2012.pdf:PDF},
Keywords = {variable selection},
Url = {http://cran.r-project.org/web/packages/chemometrics/}
}
@InCollection{Finke2006,
Title = {Quality assessment of digital soil maps: producers and users perspectives},
Author = {P.A. Finke},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {36},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {523 - 541},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {The assessment of quality of soil maps can be seen from the producer's and the user's perspective. Producers' perspectives have led to several measures of accuracy and precision that describe the intrinsic quality of the produced soil map and information system. These are described in some detail. In conclusion, it seems that adequate measures lack the ability to detect and quantify logical inconsistencies resulting from joining and harmonisation of existing maps. Additionally, indicators need to be developed that assess the semantic quality of maps while accounting for the taxonomic distance between the map units. Users' perspectives lead to a different view on map quality. Some minimal data sets of error are proposed that will enable users to incorporate soil map uncertainty into their applications.},
Doi = {10.1016/S0166-2481(06)31039-2},
File = {:Developments in Soil Science/Finke_Dev Soil Sci_2006.pdf:PDF},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Article{Finke2012,
Title = {On digital soil assessment with models and the Pedometrics agenda},
Author = {Peter A. Finke},
Journal = {Geoderma},
Pages = {3-15},
Volume = {171-172},
Year = {2012},
Abstract = {The unique selling point of pedometricians still is close to their cradle: ability to map. Irrespective of the many scientific achievements one can ask if offering mapping ability, allbeit in various contexts, is all a pedometrician can do to bring forward soil science's broader agenda. This paper identifies, within some of the hotter issues on the soil science agenda, activities that need the input of pedometricians. Digital soil mapping (DSM) has reached maturity although some issues like the optimal use of legacy data still need attention. The necessary shift from DSM to digital soil function mapping implies an increased need for process knowledge in mapping, but also an increased focus of pedometricians on the strengthening of process models. Most quality issues related to DSM have a counterpart in process modelling, and some of these issues need elaboration to construct well-calibrated and complete models, e.g. by making motivated choices between the inclusion of processes or model reduction. Reaching out to stakeholders is also an issue of increasing interest, as these are confronted with uncertain concurrent models to evaluate future scenarios. Questions are raised such as: Does the need for a state-of-the-art (SOTA) approach imply a choice for one model and how should this be made, or is SOTA implementable as some weighted average of screened concurrent models. Can observations and model results be combined in decision making and what techniques are needed. The above issues are illustrated with existing examples and new material from soil science and beyond. As DSM and process modelling share common ground, mutual benefits can be expected at the interface of both research fields such as (i) increased usage of process knowledge in DSM and (ii) probabilistic approaches to less well understood soil processes. Stakeholders will profit from the development of decision frameworks to choose applicable DSM-techniques and the increased application of ensembles of DSM-methods and models to narrow prediction error bandwidths. Additionally, they will profit from the development of decision support systems filled with outcomes of scenario studies of multiple, uncertain, and concurrent models as these provide an interesting alternative to the application of one selected model.},
Doi = {10.1016/j.geoderma.2011.01.001},
File = {Finke2012.pdf:Finke2012.pdf:PDF},
Keywords = {Digital soil mapping; redemds}
}
@Inproceedings{FinkeEtAl2002,
Title = {Choosing appropriate upscaling and downscaling methods for environmental research},
Author = {Finke, P. A. and Bierkens, M. F. P. and Willigen, P. de},
Booktitle = {International conference on agricultural effects on ground and surface waters},
Pages = {405-409},
Year = {2002},
Address = {Wallingford},
Comment = {DWK DWK-358
},
File = {FinkeEtAl2002.pdf:FinkeEtAl2002.pdf:PDF},
Keywords = {Scale;},
Owner = {alessandro},
Refid = {316379},
Timestamp = {14.10.2014},
Url = {http://library.wur.nl/WebQuery/wurpubs/316379}
}
@Book{FinkeEtAl1998,
Title = {Soil and water quality at different scales},
Address = {Dordrecht},
Author = {Finke, P. A. and Bouma, J. and Hoosbeek, M. R.},
Pages = {324},
Publisher = {Kluwer Academic},
Year = {1998},
Booktitle = {Developments in plant and soil sciences;vol. 80},
ISSN = {0792349946},
Keywords = {Scale; Process; Modelling; Resolution; Support;},
Owner = {alessandro},
Refid = {949193},
Timestamp = {14.10.2014}
}
@Article{FinkeEtAl1999,
Title = {Quantification and simulation of errors in categorical data for uncertainty analysis of soil acidification modelling},
Author = {Finke, P. A. and Wladis, D. and Kros, J. and Pebesma, E. J. and Reinds, G. J.},
Journal = {Geoderma},
Pages = {177-194},
Volume = {93},
Year = {1999},
Number = {3},
Abstract = {Simulation studies that use maps to generate georeferenced model input may be prone to errors in the definition and delineation of the map units. Our study aims at the estimation of errors in categorical data, i.e., a generalized soil and vegetation class map of the EU vs. a highly detailed soil/vegetation map of the Netherlands. From this, an error model evolves containing (i) an index of map purity and misclassified area fractions and (ii) indicator variograms describing the spatial autocorrelation structure of the degree of error at individual locations. Furthermore, we describe a method to evaluate the effect of these errors on the uncertainty of the outcome of the soil acidification model Simulation Model for Acidification's Regional Trends, version 2 (SMART2). This method involves the application of joint sequential simulation to produce equiprobable realisations of soil/vegetation maps. Results show that the errors in the EU-soil/vegetation map are considerable, because 69% of the area is misclassified when compared to highly detailed maps from the Netherlands. Simulated maps reproduced the error model for the dominant soil/vegetation map units well. Results of the uncertainty analyses show that errors in categorical data do have a pronounced influence on the uncertainty of SMART2 results. This influence was between 20% of the total variance for Al3+concentrations and exceedance probabilities, and 40%-50% of the total variance for NO3- concentrations and exceedance probabilities.},
Doi = {10.1016/S0016-7061(99)00056-7},
File = {FinkeEtAl1999.pdf:FinkeEtAl1999.pdf:PDF},
Keywords = {redemds; geostatistics; acidification; variance analysis; soil maps; vegetation},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.31}
}
@Article{FinkeEtAl2004,
Title = {Mapping groundwater dynamics using multiple sources of exhaustive high resolution data},
Author = {Finke, P.A. and Brus, D.J. and Bierkens, M.F.P. and Hoogland, T. and Knotters, M. and de Vries, F.},
Journal = {Geoderma},
Pages = {23–39},
Volume = {123},
Year = {2004},
Month = {Nov},
Number = {1-2},
Doi = {10.1016/j.geoderma.2004.01.025},
File = {FinkeEtAl2004.pdf:FinkeEtAl2004.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{FinneyEtAl1962,
Title = {The influence of microclimate on the morphology of certain soils of the Allegheny Plateau of Ohio},
Author = {Finney, H R et al},
Journal = {Soil Science Society of America Proceedings},
Year = {1962},
Keywords = {Aspect; Northerness;},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
@Article{FiorioEtAl2009,
Title = {Orbital and laboratory spectral data to optimize soil analysis},
Author = {Peterson Ricardo Fiorio and José Alexandre M. Demattê},
Journal = {Scientia Agricola},
Pages = {250-257},
Volume = {66},
Year = {2009},
Number = {2},
Abstract = {Traditional soil analyses are time-consuming with high cost and environmental risks, thus the use of new technologies such as remote sensing have to be estimulated. The purpose of this work was to quantify soil attributes by laboratory and orbital sensors as a non-destructive and a nonpollutant method. The study area was in the region of Barra Bonita, state of São Paulo, Brazil, in a 473 ha bare soil area. A sampling grid was established (100 ? 100 m), with a total of 474 locations and a total of 948 soil samples. Each location was georeferenced and soil samples were collected for analysis. Reflectance data for each soil sample was measured with a laboratory sensor (450 to 2,500 nm). For the same locations, reflectance data was obtained from a TM-Landsat-5 image. Multiple linear regression equations were developed for 50% of the samples. Two models were developed: one for spectroradiometric laboratory data and the second for TM-Landsat-5 orbital data. The remaining 50% of the samples were used to validate the models. The test compared the attribute content quantified by the spectral models and that determined in the laboratory (conventional methods). The highest coefficients of determination for the laboratory data were for clay content (R2 = 0.86) and sand (R2 = 0.82) and for the orbital data (R2 = 0.61 and 0.63, respectively). By using the present methodology, it was possible to estimate CEC (R2 = 0.64) by the laboratory sensor. Laboratory and orbital sensors can optimize time, costs and environment pollutants when associated with traditional soil analysis.},
Keywords = {remote sensing; soil attributes; soil reflectance},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://www.scielo.br/pdf/sa/v66n2/15.pdf}
}
@Inbook{FirtaEtAl2003,
Title = {Método do balanço hídrico},
Author = {I.N. Firta and A.B. Castilhos.Júnior},
Booktitle = {Resíduos sólidos urbanos: aterro sustentável para municípios de pequeno porte},
Editor = {Armando Borges},
Pages = {255-278},
Publisher = {Rio de Janeiro: ABES},
Year = {2003},
Chapter = {Apêndice 3},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{Firth1988,
Title = {Multiplicative errors: log-normal or gamma?},
Author = {Firth, David},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {pp. 266-268},
Volume = {50},
Year = {1988},
Number = {2},
Abstract = {Estimation in regression models with multiplicative error is commonly based on either the log-normal or the gamma likelihood. When the regression effects are also multiplicative, the gamma maximum likelihood estimate is found to be the more efficient of the two, but only slightly so, under reciprocal misspecification.},
Copyright = {Copyright © 1988 Royal Statistical Society},
ISSN = {00359246},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1988},
Language = {English},
Owner = {Alessandro},
Publisher = {Blackwell Publishing for the Royal Statistical Society},
Timestamp = {2011.02.02},
Url = {http://www.jstor.org/stable/2345764}
}
@Article{Fisher1998,
Title = {Improved modeling of elevation error with geostatistics},
Author = {Fisher, Peter},
Journal = {GeoInformatica},
Pages = {215-233},
Volume = {2},
Year = {1998},
Note = {10.1023/A:1009717704255},
Number = {3},
Abstract = {The elevations recorded within digital models are known to be fraught with errors of sampling, measurement and interpolation. Reporting of these errors according to spatial data standards makes several implicit and unacceptable assumptions about the error: it has no spatial distribution, and it is statistically stationary across a region, or even a nation. The approach explored in this paper employs actual elevations measured in ground and aerial survey at higher precision than the elevations in the DEM and recorded on standard paper maps. These high precision elevations are digitized and used to establish the real statistical and spatial distribution of the error. Direct measurements could also have been taken in the field by GPS or any other means of high precision data collection. These high precision elevations are subtracted from values stored in the DEM for approximately the same locations. The distribution of errors specific to the DEM can then be explored, and can be used in the geostatistical method of conditional stochastic simulation to derive alternative realizations of the error modeled and so of the DEM. Multiple versions of the derived products can also be determined. This paper compares the results of using different methods of error modeling. The best method, which gives widely implementable and defensible results, is that based on conditional stochastic simulation.},
File = {Fisher1998.pdf:Fisher1998.pdf:PDF},
ISSN = {1384-6175},
Issue = {3},
Keyword = {Earth and Environmental Science},
Keywords = {redemds; dem; uncertainty},
Publisher = {Springer Netherlands},
Url = {http://dx.doi.org/10.1023/A:1009717704255}
}
@Article{Fisher1992,
Title = {First experiments in viewshed uncertainty: simulating fuzzy viewsheds},
Author = {Fisher, Peter F.},
Journal = {Photogrammetric Engineering and Remote Sensing},
Pages = {345-352},
Volume = {58},
Year = {1992},
Number = {3},
Citeulike-article-id = {1539742},
File = {Fisher1992.pdf:Fisher1992.pdf:PDF},
Keywords = {archaeology; redemds},
Posted-at = {2007-08-07 12:00:15},
Priority = {0}
}
@Article{Fisher1991,
Title = {First experiments in viewshed uncertainty: the accuracy of the viewshed area},
Author = {Fisher, Peter F.},
Journal = {Photogrammetric Engineering and Remote Sensing},
Pages = {1321-1327},
Volume = {57},
Year = {1991},
Number = {10},
File = {Fisher1991.pdf:Fisher1991.pdf:PDF},
Keywords = {redemds; mde;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.02}
}
@Article{FisherEtAl2006,
Title = {Causes and consequences of error in digital elevation models},
Author = {Fisher, Peter F. and Tate, Nicholas J.},
Journal = {Progress in Physical Geography},
Pages = {467-489},
Volume = {30},
Year = {2006},
Number = {4},
Abstract = {All digital data contain error and many are uncertain. Digital models of elevation surfaces consist of files containing large numbers of measurements representing the height of the surface of the earth, and therefore a proportion of those measurements are very likely to be subject to some level of error and uncertainty. The collection and handling of such data and their associated uncertainties has been a subject of considerable research, which has focused largely upon the description of the effects of interpolation and resolution uncertainties, as well as modelling the occurrence of errors. However, digital models of elevation derived from new technologies employing active methods of laser and radar ranging are becoming more widespread, and past research will need to be re-evaluated in the near future to accommodate such new data products. In this paper we review the source and nature of errors in digital models of elevation, and in the derivatives of such models. We examine the correction of errors and assessment of fitness for use, and finally we identify some priorities for future research.},
Doi = {10.1191/0309133306pp492ra},
File = {FisherEtAl2006.pdf:FisherEtAl2006.pdf:PDF},
Keywords = {redemds; dem; uncertainty; error budget;}
}
@Book{Fisher1951,
Title = {The design of experiments},
Address = {London},
Author = {Fisher, Ronald A.},
Pages = {248},
Publisher = {Oliver and Boyd},
Year = {1951},
Edition = {6},
Keywords = {multiple comparison},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.13}
}
@Article{Fisher1922,
Author = {Fisher, Ronald A.},
Year = {1922},
File = {Fisher1922.pdf:Fisher1922.pdf:PDF}
}
@Article{Fisher1958,
Title = {On grouping for maximum homogeneity},
Author = {Fisher, Walter D.},
Journal = {Journal of the American Statistical Association},
Volume = {53},
Year = {1958},
Number = {284},
Abstract = {{Given a set of arbitrary numbers, what is a practical procedure for grouping them so that the variance within groups is minimized? An answer to this question, including a description of an automatic computer program, is given for problems up to the size where 200 numbers are to be placed in 10 groups. Two basic types of problem are discussed and illustrated.}},
Citeulike-article-id = {8322654},
Citeulike-linkout-0 = {http://dx.doi.org/10.2307/2281952},
Citeulike-linkout-1 = {http://www.jstor.org/stable/2281952},
Comment = {The mathematical basis of all the algorithms to calculate Jenks' Natural Breaks},
Doi = {10.2307/2281952},
File = {Fisher1958.pdf:Fisher1958.pdf:PDF},
Keywords = {classification, clustering; multiple comparison; scott-knott},
Posted-at = {2010-11-29 20:34:07},
Priority = {0},
Publisher = {American Statistical Association},
Url = {http://dx.doi.org/10.2307/2281952}
}
@Book{Fishman1996,
Title = {Monte Carlo - concepts, algorithms, and applications},
Author = {George S. Fishman},
Publisher = {New York, USA: Springer-Verlag},
Year = {1996},
File = {Fishman1996.djvu:Book/Fishman1996.djvu:Djvu},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@InCollection{FiskEtAl2010,
Title = {U.S. Department of Agriculture (USDA) TEUI Geospatial Toolkit: an operational ecosystem inventory application},
Author = {Haans Fisk and Robert Benton and Corey Unger and Timothy King and Sharie Williamson},
Booktitle = {Digital soil mapping: bridging research, environmental application, and operation},
Publisher = {Springer},
Year = {2010},
Address = {Netherlands},
Chapter = {5},
Editor = {Janis L. Boettinger and David W. Howell and Amanda C. Moore and Alfred E. Hartemink and Suzann Kienast-Brown},
Pages = {399-410},
Abstract = {The TEUI-Geospatial Toolkit (Toolkit) is an operational ecological inventory application used by the U.S. Department of Agriculture (USDA) Forest Service and other land management agencies. This resource mapping tool complements traditional inventory methods by streamlining the collection and analysis of inventory information in a digital environment. The Toolkit is based on the USDA Forest Ser- vice Terrestrial Ecological Unit Inventory Technical Guide, which complies with the National Cooperative Soil Survey (NCSS) standards. It is intended for resource spe- cialists with a strong background in terrestrial mapping and intermediate geographic information system (GIS) skills. This Environmental Systems Research Institute, Inc. (ESRI) ArcGIS TM mapping tool guides the user through the TEUI mapping process, helps stratify landscapes and analyze environmental characteristics with geospatial data. Products derived with this operational mapping application comply with corporate data standards and are stored in corporate database systems. Design, development and operational support are performed by the USDA Forest Service Remote Sensing Application Center (RSAC). RSAC provides technical assistance to field units and increases application awareness at various meetings, workshops and conferences. Staying connected with the TEUI soil mapping community establishes an essential feedback loop for gathering new ideas and enhancing application func- tionality. This paper provides an overview of the current application and highlights specific mapping and data analysis functionality. It also identifies specific benefits that are realized through geospatial technologies as the Toolkit is implemented in the pre-map phase of a TEUI project.},
File = {FiskEtAl2010.pdf:FiskEtAl2010.pdf:PDF},
Keywords = {Operational ecological inventory; Resource mapping tool; Landscape stratification},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2011.01.19}
}
@Article{FiskeEtAl1925,
Title = {The colorimetric determination of phosphorus},
Author = {Fiske, Cyrus H. and Subbarow, Yellapragada},
Journal = {Journal of Biological Chemistry},
Pages = {375-400},
Volume = {66},
Year = {1925},
Number = {2},
Eprint = {http://www.jbc.org/content/66/2/375.full.pdf+html},
Url = {http://www.jbc.org/content/66/2/375.short}
}
@InCollection{Flanagan2004,
Title = {Pedotransfer functions for soil erosion models},
Author = {D. Flanagan},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {177 - 193},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30011-5},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-C/2/9373adb13a20f0b65bfba71afcc743d7}
}
@Inproceedings{FlomEtAl2007,
Title = {Stopping stepwise: why stepwise and similar selection methods are bad, and what you should use},
Author = {Peter L. Flom and David L. Cassell},
Booktitle = {Proceedings of the 20th Annual Conference of the NorthEast SAS Users Group Inc, Baltimore, Maryland, November 11-14},
Year = {2007},
File = {FlomEtAl2007.pdf:FlomEtAl2007.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.24},
Url = {http://www.nesug.org/proceedings/}
}
@Article{Florian1992,
Title = {An efficient sampling scheme: {U}pdated {L}atin {H}ypercube {S}ampling},
Author = {Florian, Aleš},
Journal = {Probabilistic Engineering Mechanics},
Pages = {123–130},
Volume = {7},
Year = {1992},
Month = {Jan},
Number = {2},
Doi = {10.1016/0266-8920(92)90015-a},
File = {Florian1992.pdf:Florian1992.pdf:PDF},
ISSN = {0266-8920},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{FlorinskyEtAl2002,
Title = {Prediction of soil properties by digital terrain modelling},
Author = {I.V. Florinsky and R.G. Eilers and G.R. Manning and L.G. Fuller},
Journal = {Environmental Modelling and Software},
Pages = {295-311},
Volume = {17},
Year = {2002},
Abstract = {We investigated two approaches for large-scale analysis and prediction of the spatial distribution of soil properties in an agricultural landscape in the Canadian prairies. The first approach was based on the implementation of nine types of digital terrain models (DTMs) and regression analysis of soil and topographic data. The second approach used a concept of accumulation, transit, and dissipation zones of the landsurface. Soil properties were soil moisture, residual phosphorus, solum thickness, depth to calcium carbonate, and organic carbon content. The dependence of soil properties on topography was supported by correlations for the upper soil layer. However, topographic control of soil moisture and residual phosphorus decreased with depth. Also, correlation coefficients and regression equations describing topographic control of soil moisture and residual phosphorus differed among seasons. This imposes limitations on regression-based predictions of the spatial distribution of soil properties. The prediction of soil property distribution with the concept of accumulation, transit and dissipation zones can be more successful and appropriate than the prediction based on linear regression. The variability in relationships between soil and topographic characteristics with depth may stem from spatial variability in the rate of decline of hydraulic conductivity with depth. Temporal variability in soil?topography relationships occurs because soil properties result from interactions of a variety of pedogenetic factors and processes marked by different temporal variability. In soil studies with digital terrain modelling, there is a need to take into account four types of variability in relations between soil and relief: regional, temporal, depth, and scale.},
File = {:Environmental Modelling Software/Florinsky et al_Environ Modell Softw_2002.pdf:PDF},
Keywords = {Digital terrain model; Topography; Prediction map; Soil; Statistical analysis},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S1364815201000676}
}
@Article{Florinsky2012,
Title = {The {D}okuchaev hypothesis as a basis for predictive digital soil mapping (on the 125th anniversary of its publication)},
Author = {Florinsky, I. V.},
Journal = {Eurasian Soil Science},
Pages = {445-451},
Volume = {45},
Year = {2012},
Abstract = {Predictive digital soil mapping is widely used in soil science. Its objective is the prediction of the spatial distribution of soil taxonomic units and quantitative soil properties via the analysis of spatially distributed quantitative characteristics of soil-forming factors. Western pedometrists stress the scientific priority and principal importance of Hans Jenny?s book (1941) for the emergence and development of predictive soil mapping. In this paper, we demonstrate that Vasily Dokuchaev explicitly defined the central idea and statement of the problem of contemporary predictive soil mapping in the year 1886. Then, we reconstruct the history of the soil formation equation from 1899 to 1941. We argue that Jenny adopted the soil formation equation from Sergey Zakharov, who published it in a well-known fundamental textbook in 1927. It is encouraging that this issue was clarified in 2011, the anniversary year for publications of Dokuchaev and Jenny.},
Affiliation = {Institute of Mathematical Problems of Biology, Russian Academy of Sciences, Pushchino, Moscow oblast, 142290 Russia},
Doi = {10.1134/S1064229312040047},
File = {Florinsky2012.pdf:Eurasian Soil Science/Florinsky2012.pdf:PDF},
ISSN = {1064-2293},
Issue = {4},
Keyword = {Earth and Environmental Science},
Keywords = {redemds; solo-paisagem; PhDpaper1;},
Publisher = {MAIK Nauka/Interperiodica distributed exclusively by Springer Science+Business Media LLC.}
}
@Article{Florinsky1998,
Title = {Accuracy of local topographic variables derived from digital elevation models},
Author = {Igor V. Florinsky},
Journal = {International Journal of Geographical Information Science},
Pages = {47-61},
Volume = {12},
Year = {1998},
Abstract = {We study the accuracy of data on some local topographic attributes derived from digital elevation models (DEMs). First, we carry out a test for the precision of four methods for calculation of partial derivatives of elevations. We find that the Evans method is the most precision algorithm of this kind. Second, we produce formulae for root mean square errors of four local topographic variables (gradient, aspect, horizontal and vertical landsurface curvatures), provided that these variables are evaluated with the Evans method. Third, we demonstrate that mapping is the most convenient and pictorial way for the practical implementation of the formulae derived. A DEM of a part of the Kursk Region (Russia) is used as an example. We find that high errors of data on local topographic variables are typical for flat areas. Results of the study can be used to improve landscape investigations with digital terrain models.},
Doi = {10.1080/136588198242003},
File = {Florinsky1998.pdf:International journal of geographical information/Florinsky1998.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.14}
}
@Article{FoleyEtAl2005,
Title = {Global consequences of land use},
Author = {Jonathan A. Foley and Ruth Defries and Gregory P. Asner and Carol Barford and Gordon Bonan and Stephen R. Carpenter and F. Stuart Chapin and Michael T. Coe and Gretchen C. Daily and Holly K. Gibbs and Joseph H. Helkowski and Tracey Holloway and Erica A. Howard and Christopher J. Kucharik and Chad Monfreda and Jonathan A. Patz and I. Colin Prentice and Navin Ramankutty and Peter K. Snyder},
Journal = {Science},
Pages = {570-574},
Volume = {309},
Year = {2005},
Abstract = {Land use has generally been considered a local environmental issue, but it is becoming a force of global importance. Worldwide changes to forests, farmlands, waterways, and air are being driven by the need to provide food, fiber, water, and shelter to more than six billion people. Global croplands, pastures, plantations, and urban areas have expanded in recent decades, accompanied by large increases in energy, water, and fertilizer con- sumption, along with considerable losses of biodiversity. Such changes in land use have enabled humans to appropriate an increasing share of the planet?s resources, but they also potentially undermine the capacity of ecosystems to sustain food production, maintain freshwater and forest resources, regulate climate and air quality, and amelio- rate infectious diseases. We face the challenge of managing trade-offs between imme- diate human needs and maintaining the capacity of the biosphere to provide goods and services in the long term.},
Doi = {10.1126/science.1111772},
File = {FoleyEtAl2005.pdf:FoleyEtAl2005.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{FollyEtAl1999,
Title = {Evaluation of the EUROSEM model using data from the Catsop watershed, The Netherlands},
Author = {A. Folly and J.N. Quinton and R.E. Smith},
Journal = {Catena},
Pages = {507-519},
Volume = {37},
Year = {1999},
Abstract = {The performance of the EUROSEM model is evaluated for a catchment in the Netherlands. The model is calibrated using observed hydrographs and sedigraphs by interactively changing the input parameters net capillary drive, initial soil moisture content, saturated hydraulic conductivity, cohesion, Manning?s n and the detachability of soil particles. Storms with characteristics similar to the calibration storms were simulated well, whereas the model did not perform too well for storms being significantly different. Simulation of soil loss was generally too high though the poor quality of observed soil loss made it difficult to assess the true performance of the model. Through a plus and minus 10% sensitivity analysis, it was revealed that the model was most sensitive to changes in the initial volumetric moisture content of the soil and Manning?s n and at the same time, the sensitivity analysis proved to be both condition- and site-specific in nature. Because of the difficulties of parameterising the model, it is recommended that in future applications of the model, minimum and maximum output values should be included as the output. Improved within storm modelling is needed, particularly to model conditions where crusting is widespread in the study area.},
Doi = {10.1016/S0341-8162(99)00036-3},
File = {FollyEtAl1999.pdf:Catena/FollyEtAl1999.pdf:PDF},
Keywords = {Soil erosion modelling; Model evaluation; Sensitivity analysis; Event-based modelling},
Owner = {Fatec},
Timestamp = {2010.07.27}
}
@Phdthesis{Fontana2006,
Title = {Caracterização Química e Espectroscópica da Matéria Orgânica em Solos do Brasil},
Author = {Ademir Fontana},
Year = {2006},
File = {Fontana2006.pdf:Fontana2006.pdf:PDF},
Keywords = {latex},
Owner = {alessandro},
Timestamp = {29.10.2013}
}
@Article{FontanaEtAl2008,
Title = {Substâncias húmicas como suporte à classificação de solos brasileiros},
Author = {Ademir Fontana and Vinicius Melo Benites and Marcos Gervasio Pereira and Lúcia Helena Cuha Anjos},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {2073-2080},
Volume = {32},
Year = {2008},
Abstract = {As substâncias húmicas que compõem a matéria orgânica do solo participam de forma ativa dos processos pedogenéticos do solo, em especial dos horizontes diagnósticos O e H hístico, A chernozêmico, A húmico e B espódico. Este trabalho teve como objetivo determinar o teor de C orgânico das substâncias húmicas e avaliar sua influência na separação de horizontes diagnósticos. Foram utilizados 56 horizontes diagnósticos de diferentes regiões do Brasil, 52 superficiais (H hístico, A chernozêmico, A proeminente, A húmico e A moderado) e quatro subsuperficiais (B espódico). Nesses solos, foram feitas a caracterização química e física, e também de C orgânico, da fração ácidos fúlvicos (C-FAF), fração ácidos húmicos (C-FAH) e humina (C-HUM), as relações C-FAH/C-FAF e C-EA/C-HUM (C-EA = C-FAF + C-FAH) e a percentagem das frações em relação ao C orgânico total (COT), sendo as variáveis submetidas à avaliação por análises multivariadas. Nos horizontes orgânicos, o H hístico apresentou maiores valores e equilíbrio entre o C-HUM e o C-FAH. Na maioria dos horizontes minerais, observou-se predomínio do C- HUM, seguido pelo C-FAH nos horizontes A chernozêmico e A húmico e pelo C-FAF nos horizontes A proeminente e A moderado. Nos horizontes B espódico, foi observado predomínio variável de C-FAF e C-FAH. Com a análise de variáveis canônicas, identificaram-se as variáveis que poderiam ser utilizadas para a separação dos tipos de horizontes diagnósticos. Usando a análise de agrupamento, separaram-se os tipos de horizontes com menor influência da matéria orgânica. Pela análise discriminante, obtiveram-se resultados satisfatórios na classificação dos horizontes diagnósticos com base nas variáveis das substâncias húmicas, quando comparados à classificação original. Os resultados das análises multivariadas indicam que a distribuição do C das substâncias húmicas pode ser utilizada para separar os tipos de horizontes diagnósticos ricos em C orgânico.},
Doi = {10.1590/S0100-06832008000500028},
Keywords = {fracionamento químico, horizontes diagnósticos, análises multivariadas},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2010}
}
@Book{FoodyEtAl2002,
Title = {Uncertainty in remote sensing and GIS},
Address = {Chichester},
Author = {Giles M. Foody And Peter M. Atkinson},
Pages = {307},
Publisher = {Wiley},
Year = {2002},
File = {FoodyEtAl2002.pdf:FoodyEtAl2002.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.29}
}
@Article{ForceEtAl2000,
Title = {Solid-phase iron characterization during common selective sequential extractions},
Author = {Matthew J. La Force and Scott Fendorf},
Journal = {Soil Science Society of America Journal},
Pages = {1608-1615},
Volume = {64},
Year = {2000},
Abstract = {Selective chemical extractions provide semiquantitative information on elemental partitioning within operationally defined soil fractions. In this study, the efficiency of common extraction steps was determined for a mining-impacted soil by analyzing Fe transformations in the solid phase using x-ray diffraction, scanning electron microscopy, and x-ray absorption near edge structure (XANES) spectroscopy. Extractions involve the isolation of operationally defined double-deionized water (soluble), magnesium chloride (exchangeable), sodium hypochlorite (organic matter), sodium acetate?acetic acid (carbonate), hydroxylamine-hydrochloride?nitric acid (Mn-oxides), ammonium oxalate in the dark (AOD) (noncrystalline material), hydroxylamine-hydrochloride?acetic acid (Fe oxides), potassium perchlorate?hydrochloric?nitric acid (sulfidic), and hydrochloric?nitric?hydrofluoric acid (residual) fractions of the solid phase. Ferric Fe remained in the solid phase throughout the extraction sequence until its removal by hydrochloric?nitric?hydrofluoric acid (residual fraction). The hydroxylamine-hydrochloride (1.0 M in 25% [v/v] HOAc) extraction may underestimate Fe associated with crystalline materials. Thus, selective sequential extractions need to be optimized for a given soil prior to implementation and should be used in conjunction with spectroscopic techniques, when possible, to fully ascertain elemental partitioning within the solid phase.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {https://www.crops.org/publications/sssaj/pdfs/64/5/1608}
}
@Article{FordEtAl2008,
Title = {Evaluating geological complexity and complexity gradients as controls on copper mineralisation, Mt Isa Inlier},
Author = {A. Ford and T. G. Blenkinsop},
Journal = {Australian Journal of Earth Sciences},
Pages = {13-23},
Volume = {55},
Year = {2008},
Abstract = {Faults and lithological boundaries are pathways for focusing the large volumes of fluid required to form hydrothermal orebodies. The distribution of faults and lithological boundaries as a function of scale can be measured by the geological complexity, quantified by a fractal dimension obtained by box counting, that increases with complexity. Copper mineralisation in the Mt Isa Inlier has well-documented structural and stratigraphic controls, and may therefore have a strong relationship with geological complexity. In this study, a two-dimensional approach is implemented for analysing the relationship between complexity, complexity gradients and copper mineralisation. There is a strong positive relationship between complexity and copper distribution and endowment in both the major lithostratigraphic subdivisions of the inlier, the Eastern and Western Successions. This relationship may suggest that abundant fluid pathways and physico-chemical contrasts are critical factors in copper mineralisation. A weak inverse relationship exists between complexity gradients and copper endowment. At small scales, there is a departure from the fractal relationship between number of boxes containing faults or lithological boundaries and box size, called roll-off. Roll-off is shown to be a function of the detail of mapping. This allows variation in mapping detail to be accounted for in measurements of geological complexity by due consideration of the scale at which roll-off occurs. The results imply that complexity could be used as an exploration tool.},
Doi = {10.1080/08120090701581364},
File = {FordEtAl2008.pdf:Australian Journal of Earth Sciences/FordEtAl2008.pdf:PDF},
Keywords = {copper mineralisation, fractal dimension, geological complexity, hydrothermal orebodies, Mt Isa., box-counting},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.24}
}
@Article{FordEtAl2010,
Title = {The effect of map scale on geological complexity for computer-aided exploration targeting},
Author = {A. Ford and T.C. McCuaig},
Journal = {Ore Geology Reviews},
Pages = {156-167},
Volume = {38},
Year = {2010},
Abstract = {Mineralization in hydrothermal ore systems has proximity, association and abundance relationships with fluid pathways (e.g. faults and lithological contacts) based on the concept of deformation-induced permeability being localized along such features. To empirically calibrate the abundance relationship between these features and gold mineralization, a measure known as geological complexity has been quantified. A fractal dimension representing the degree of geological complexity is evaluated using a box-counting method on the combination of faults and lithological contacts on a series of maps over the Kurnalpi Terrane of the Archaean Yilgarn Craton. Using multi-scale geological datasets from the Kurnalpi Terrane, we show that geological complexity and its relationship to known occurrences of orogenic gold mineralization varies depending on scale and degree of interpretation of the maps analyzed. In terms of scale, stronger correlations are observed for higher resolution ?outcrop? geological and structural maps. Even when the percentage of outcrop was taken into consideration, the higher resolution maps still showed greater correlations between geological complexity and gold mineralization. Differing solid geological interpretations at the same scale significantly affect the degree of quantified geological complexity and its correlation with known gold mineralization. The study results also illustrate a negative correlation between gold mineralization and gradients in the geological complexity. This outcome is contrary to results obtained by previous workers, and indicates that geological complexity, rather than complexity gradients, is useful as an input predictor map for prospectivity analysis and exploration targeting in the Kurnalpi region and other regions containing similar orogenic gold systems. Furthermore, the results indicate that interpreted solid geology maps, while critical for manual conceptual targeting, may actually be less effective than outcrop maps as a predictive layer in automated conceptual and empirical prospectivity analysis.},
File = {FordEtAl2010.pdf:Ore Geology Reviews/FordEtAl2010.pdf:PDF},
Keywords = {Fractal dimension; Geological complexity; Kurnalpi Terrane; Orogenic gold; Scale dependency; Yilgarn Craton, box counting},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.24},
Url = {http://www.sciencedirect.com/science/article/pii/S0169136810000405}
}
@Article{Forshyte1967,
Title = {Las propiedades físicas, los factores físicos de crecimiento y la productividad del suelo},
Author = {W M Forshyte},
Journal = {Fitotecnia Latino Americana},
Pages = {165-173},
Volume = {xx},
Year = {1967},
File = {:Fitotecnia Latino Americana/Forsythe_Fitotecnia Latino Americana_1967.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVNDUxNDcxNmUtOWIwMi00MDkzLTg0YmItOGE5OGQ4NDA2YmRi&hl=en&authkey=CJeQ8q8I}
}
@Article{FosterEtAl2004,
Title = {Variable selection in data mining: building a predictive model for bankruptcy},
Author = {Dean P. Foster and Robert A. Stine},
Journal = {Journal of the American Statistical Association},
Pages = {303-313},
Volume = {99},
Year = {2004},
Month = Feb,
Number = {466},
Abstract = {We predict the onset of personal bankruptcy using least squares regression. Although well publicized, only 2,244 bankruptcies occur in our data set of 2.9 million months of credit-card activity. We use stepwise selection to find predictors of these from a mix of payment history, debt load, demographics, and their interactions. This combination of rare responses and over 67,000 possible predictors leads to a challenging modeling question: How does one separate coincidental from useful predictors? We show that three modifications turn stepwise regression into an e#ective methodology for predicting bankruptcy. Our version of stepwise regression (1) organizes calculations to accommodate interactions, (2) exploits modern decision theoretic criteria to choose predictors, and (3) conservatively estimates p-values to handle sparse data and a binary response. Omitting any one of these leads to poor performance. A final step in our procedure calibrates regression predictions. With these modifications, stepwise regression predicts bankruptcy as well, if not better, than recently developed data-mining tools. When sorted, the largest 14,000 resulting predictions hold 1000 of the 1800 bankruptcies hidden in a validation sample of 2.3 million observations. If the cost of missing a bankruptcy is 200 times that of a false positive, our predictions incur less than 2/3 of the costs of classification errors produced by the tree-based classifier C4.5.},
File = {FosterEtAl2004.pdf:FosterEtAl2004.pdf:PDF},
Institution = {Wharton School Center for Financial Institutions, University of Pennsylvania},
Keywords = {stepwise;},
Type = {Center for Financial Institutions Working Papers},
Url = {http://www.jstor.org/stable/27590387}
}
@Book{Foth1990,
Title = {Fundamentals of soil science},
Author = {Henry D. Foth},
Pages = {360},
Publisher = {New York, USA: John Wiley and Sons},
Year = {1990},
Edition = {8},
File = {Foth1990.pdf:Foth1990.pdf:PDF},
Keywords = {the soil concept;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{Fox2006,
Title = {Structural equation modeling with the sem package in {R}},
Author = {John Fox},
Journal = {Structural Equation Modeling},
Pages = {465-486},
Volume = {13},
Year = {2006},
Abstract = {R is free, open-source, cooperatively developed software that implements the S statistical programming language and computing environment. The current capabilities of R are extensive, and it is in wide use, especially among statisticians. The sem package provides basic structural equation modeling facilities in R, including the ability to fit structural equations in observed variable models by two-stage least squares, and to fit latent variable models by full information maximum likelihood assuming multinormality. This article briefly describes R, and then proceeds to illustrate the use of the tsls and sem functions in the sem package. The article also demonstrates the integration of the sempackage with other facilities available in R, for example for computing polychoric correlations and for bootstrapping.},
Owner = {Administrador},
Timestamp = {2011.01.04},
Url = {http://socserv.mcmaster.ca/jfox/Misc/sem/SEM-paper.pdf}
}
@Book{Fox2002,
Title = {An R and S-PLUS Companion to Applied Regression},
Author = {John Fox},
Publisher = {Sage Publications, Inc.},
Year = {2002},
File = {Fox2002.ps:Fox2002.ps:PostScript},
Keywords = {vif; variabce inflation factor;}
}
@Article{FoxEtAl1992,
Title = {Generalized collinearity diagnostics},
Author = {Fox, John and Monette, Georges},
Journal = {Journal of the American Statistical Association},
Pages = {178--183},
Volume = {87},
Year = {1992},
Number = {417},
File = {FoxEtAl1992.pdf:FoxEtAl1992.pdf:PDF},
Groups = {public},
Keywords = {variance inflation factor; vif; step; iteration; pedometrics;},
Owner = {alessandro},
Publisher = {Taylor \& Francis Group},
Url = {http://amstat.tandfonline.com/doi/abs/10.1080/01621459.1992.10475190}
}
@Book{FoxEtAl2011,
Title = {An {R} companion to applied regression},
Address = {Thousand Oaks},
Author = {John Fox and Sanford Weisberg},
Publisher = {Sage},
Year = {2011},
Edition = {2},
Keywords = {PhDpaper1;},
Url = {http://socserv.socsci.mcmaster.ca/jfox/Books/Companion}
}
@Book{vanFraassen1980,
Title = {The scientiffic image},
Address = {Oxford},
Author = {van Fraassen, Bas C},
Editor = {L Jonathan Cohen},
Pages = {235},
Publisher = {Clarendon Press},
Year = {1980},
File = {vanFraassen1980.pdf:vanFraassen1980.pdf:PDF}
}
@Article{FranklinEtAl1995,
Title = {Parallel Analysis: a method for determining significant principal components},
Author = {Franklin, Scott B. and Gibson, David J. and Robertson, Philip A. and Pohlmann, John T. and Fralish, James S.},
Journal = {Journal of Vegetation Science},
Pages = {99-106},
Volume = {6},
Year = {1995},
Abstract = {Numerous ecological studies use Principal Components Analysis (PCA) for exploratory analysis and data reduction. Determination of the number of components to retain is the most crucial problem confronting the researcher when using PCA. An incorrect choice may lead to the nderextraction of components, but commonly results in overextraction. Of several methods proposed to determine the significance of principal components, Parallel Analysis (PA) has proven consistently accurate in determining the threshold for significant components, variable loadings, and analytical statistics when decomposing a correlation matrix. In this procedure, eigenvalues from a data set prior to rotation are compared with those from a matrix of random values of the same dimensionality (p variables and n samples). PCA eigenvalues from the data greater than PA eigenvalues from the corresponding random data can be retained. All components with eigenvalues below this threshold value should be considered spurious. We illustrate Parallel Analysis on an environmental data set. We reviewed all articles utilizing PCA or Factor Analysis (FA) from 1987 to 1993 from Ecology, Ecological Monographs, Journal of Vegetation Science and Journal of Ecology. Analyses were first separated into those PCA which decomposed a correlation matrix and those PCA which decomposed a covariance matrix. Parallel Analysis (PA) was applied for each PCA/FA found in the literature. Of 39 analyses (in 22 articles), 29 (74.4 %) considered no threshold rule, presumably retaining interpretable components. According to the PA results, 26 (66.7 %) overextracted components. This overextraction may have resulted in potentially misleading interpretation of spurious components. It is suggested that the routine use of PA in multivariate ordination will increase confidence in the results and reduce the subjective interpretation of supposedly objective methods.},
File = {FranklinEtAl1995.pdf:FranklinEtAl1995.pdf:PDF},
Keywords = {pca; redemds; monte carlo; Literature research; Overextraction; Principal Components Analysis; Spurious component},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.05}
}
@Article{Franzmeier1969,
Title = {Properties of some soils in the Camberland Plateau as related to slope aspect and position},
Author = {Franzmeier, D P Et Al},
Journal = {Soil Science Society of America Proceedings},
Year = {1969},
Keywords = {Aspect; Northerness;},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
@Article{FrattiniEtAl1967,
Title = {Correlation between some methods for the determination of carbon},
Author = {Frattini, C. T. A. and Kalckmann, R. E.},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {259-261},
Volume = {2},
Year = {1967},
File = {FrattiniEtAl1967.pdf:FrattiniEtAl1967.pdf:PDF},
Keywords = {soc methods; lab methods; carbon; pedometrics; ptf;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.26},
Url = {http://seer.sct.embrapa.br/index.php/pab/article/view/17900}
}
@Article{Freeman1991,
Title = {Calculating catchment area with divergent flow based on a regular grid},
Author = {T. Graham Freeman},
Journal = {Computers and Geosciences},
Pages = {413 - 422},
Volume = {17},
Year = {1991},
Number = {3},
Abstract = {A new procedure is described for determining the catchment areas for all cells in a regular elevation grid, a problem of fundamental importance in analyzing drainage patterns, mineral deposition, erosion, and pollution in streams and groundwater. The new procedure allows for divergent flow, which arises in most natural terrain on hill slopes. Failure to allow for this can introduce serious artifacts in the calculations. The procedure is demonstrated on analytic surfaces that give poor results if divergent flow is ignored, and is applied to natural terrain. Also discussed is the problem of clearing sinks or pits in the elevation model and flat spots.},
Doi = {10.1016/0098-3004(91)90048-I},
File = {Freeman1991.pdf:Freeman1991.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Catchment area; saga gis;},
Url = {http://www.sciencedirect.com/science/article/pii/009830049190048I}
}
@Article{FreitasEtAl2009,
Title = {Indução da fitoextração de chumbo por ácido cítrico em solo contaminado por baterias automotivas},
Author = {Eriberto Vagner De Souza Freitas and Clístenes Williams Araújo Do Nascimento and Airon José Silva and Gustavo Pereira Duda},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {467-473},
Volume = {33},
Year = {2009},
Keywords = {fitorremediação, ácidos orgânicos, quelantes sintéticos, contaminação do solo},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v33n2/24.pdf}
}
@Other{Freitas2000,
Title = {Análise de dados espaciais por meio de semivariogramas},
Abstract = {O estudo e a determinação da dependência espacial ou temporal de variáveis aleatórias regionalizadas pode ser realizada utilizando a metodologia geoestatística. Dentro dessa metodologia o semivariograma é muito utilizado na determinação da estrutura de variabilidade espacial e da amplitude da dependência espacial das variáveis em estudo. Basicamente o semivariograma mede o grau de semelhança entre amostras vizinhas, esperando-se que quanto mais próximas, espacialmente ou temporalmente, forem selecionadas as amostras, maior será a semelhança entre elas e, portanto, menor será a variância e quanto mais afastada menor será a semelhança, até que estas diferenças sejam atribuídas tão somente ao acaso. Este trabalho teve o objetivo de apresentar e discutir aspectos básicos do semivariograma na determinação da dependência espacial de variáveis aleatórias e aplicar a metodologia para um conjunto de dados georeferenciados. Discutiu-se a metodologia, suas restrições, suposições e aplicações. Pode-se concluir que o semivariograma permite determinar a amplitude de dependência espaço-temporal de variáveis aleatórias regionalizadas e que, quando a dependência espaço-temporal está presente, as estimativas são realizada com maior precisão utilizando-se técnicas geoestatísticas, em comparação com a estatística clássica.},
Author = {V. A. Freitas},
Owner = {Alessandro Samuel Rosa},
Pages = {34},
School = {Faculdade de Matemática, Universidade Federal de Uberlândia},
Timestamp = {11.07.2009},
Year = {2000}
}
@Article{FritschEtAl2007,
Title = {From Plinthic Acrisols to Plinthosols and Gleysols: iron and groundwater dynamics in the tertiary sediments of the upper Amazon basin},
Author = {E. Fritsch and A. J. Herbillon and N. R. Do Nascimento and M Grimaldi and A. J. Melfi},
Journal = {European Journal of Soil Science},
Pages = {989-1006},
Volume = {58},
Year = {2007},
Abstract = {Topography has been reported to be the major factor ruling the spatial distribution of Acrisols, Plinthosols and Gleysols on the seasonally flooded, low elevation plateaux of the upper Amazon basin occupied by Tertiary (Iça & Solimões) sediments. In this study, detailed morphological and mineralogical investigations conducted in a representative 25-ha site were combined with hydro-geochemical data to relate the vertical and lateral soil differentiations observed to the hydro-geological history of that part of the basin. As a result of the uplift of the Andes, several cuts in the extensive Tertiary marshlands have formed, at first, slightly incised plateaux of low elevation. There, weathering under hot and humid climates would have generated a reddish, freely drained and bioturbated topsoil layer and the vertical differentiation in subsoil sediments of a plinthite over an iron-depleted mottled clay. The second episode of soil differentiation is linked to the replacement of the forest by a savannah under the drier climates of the late Pleistocene, which favours surface runoff and the infill of the incisions by fine particles. This infill, combined with the return to the present humid climate, has then enabled the local groundwater to rise on the plateaux and to generate episaturation at the topsoil/subsoil transition close to the depressions. Nowadays, ferrous iron is released from the partly iron-depleted topsoil weathering front at high water levels during the rainy seasons. It moves from footslope to low-lying positions and from top to bottom in the soil profile according to the groundwater dynamics. The present general trend is thus to the lateral export of iron at high water levels due to subsurface and overland flows, its vertical transfer during the recession of the groundwater and accumulation in a nodular plinthite. In the latter, ferrous iron is adsorbed onto its softest iron masses where it feeds the neoformation of ferrihydrite that rapidly dehydrates into haematite.},
Doi = {10.1111/j.1365-2389.2006.00877.x},
File = {:European Journal of Soil Science/Fritsch et al_Eur J Soil Sci_2007.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{FrogbrookEtAl2009,
Title = {Quantifying terrestrial carbon stocks: examining the spatial variation in two upland areas in the UK and a comparison to mapped estimates of soil carbon},
Author = {Z. L. Frogbrook and J. Bell and R. I. Bradley and C. Evans and R. M. Lark and B. Reynolds and P. Smith and W. Towers},
Journal = {Soil Use and Management},
Pages = {320-332},
Volume = {25},
Year = {2009},
Abstract = {Intensive field surveys were undertaken in two upland catchments in the UK, Plynlimon in mid-Wales and Glensaugh in North East Scotland. The survey was to examine the spatial variation across the area and to assess the accuracy of the database underpinning the soil carbon map for the UK. In each area three 1-km2 squares were sampled on a 200-m grid, with samples taken from both the organic and mineral horizons. Carbon stock was estimated, from the sample data, for each 1-km2 square and compared with values from the UK database for that square. The results showed large differences between some squares, particularly for Plynlimon. In this area, the overall discrepancy between field and database values was 45%, compared with 8% for Glensaugh. Various sources of uncertainty were examined, including bulk density, organic horizon depth, and the proportion of different soil types within a square. The value for bulk density, assumed to determine carbon stock, had a significant effect on the estimates. In both catchments the organic layer showed a gradual decrease in bulk density with depth, resulting in a large proportion of the carbon being stored in the top part of the profile. The soil types, mapped during the survey, also showed large differences from those previously identified for each 1-km2 square. This would have a considerable effect on the estimates of carbon stock within the UK database. It highlights that caution needs to be used when interpreting the UK soil map at this spatial scale.},
Doi = {10.1111/j.1475-2743.2009.00232.x},
File = {FrogbrookEtAl2009.pdf:Soil Use & Management/FrogbrookEtAl2009.pdf:PDF},
Keywords = {Soil carbon, bulk density, soil type, organic horizon, carbon stocks, spatial variation},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{FrumkinEtAl2008,
Title = {Climate change: the public health response},
Author = {Howard Frumkin and Jeremy Hess and George Luber and Josephine Malilay and Michael McGeehin},
Journal = {American Journal of Public Health},
Pages = {435-445},
Volume = {98},
Year = {2008},
Abstract = {There is scientific consensus that the global climate is changing, with rising surface temperatures, melting ice and snow, rising sea levels, and increasing climate variability. These changes are expected to have substantial impacts on human health. There are known, effective public health responses for many of these impacts, but the scope, timeline, and complexity of climate change are unprecedented. We propose a public health approach to climate change, based on the essential public health services, that extends to both clinical and population health services and emphasizes the coordination of government agencies (federal, state, and local), academia, the private sector, and nongovernmental organizations.},
Doi = {10.2105/AJPH.2007.119362},
File = {FrumkinEtAl2008.pdf:American Journal of Public Health/FrumkinEtAl2008.pdf:PDF},
Owner = {Administrador},
Timestamp = {2011.08.13}
}
@Article{FurquimEtAl2010,
Title = {Soil mineral genesis and distribution in a saline lake landscape of the Pantanal Wetland, Brazil},
Author = {S.A.C. Furquim and R.C. Graham and L. Barbiero and J.P. Queiroz Neto and P. Vidal-Torrado},
Journal = {Geoderma},
Pages = {518-528},
Volume = {154},
Year = {2010},
Abstract = {The origin of the saline lakes in the Pantanal wetland has been classically attributed to processes occurring in past periods. However, recent studies have suggested that saline water is currently forming from evaporative concentration of fresh water, which is provided annually by seasonal ? oods. Major elements (Ca, Mg, K) and alkalinity appear to be geochemically controlled during the concentration of waters and may be involved in the formation of carbonates and clay minerals around the saline lakes. The mineralogy of soils associated with a representative saline lake was investigated using XRD, TEM-EDS, and ICP-MS in order to identify the composition and genesis of the secondary minerals suspected to be involved in the control of major elements. The results showed that Ca, Mg, and K effectively undergo oversaturation and precipitation as the waters become more saline. These elements are incorporated in the authigenically formed carbonates, smectites, and micas surrounding the saline lake. The control of Ca occurs by precipitation of calcite and dolomite in nodules while Mg and K are mainly involved in the neoformation of Mg-smectites (stevensitic and saponitic minerals) and, probably, iron-enriched micas (ferric?illite) in surface and subsurface horizons. Therefore, our study con ? rms that the salinity of Pantanal, historically attributed to inheritance from former regimes, has a contribution of current processes.},
Doi = {10.1016/j.geoderma.2009.03.014},
File = {:Geoderma/Furquim et al_Geoderma_2009.pdf:PDF},
Keywords = {Nhecolândia; Salinity; Mineral neoformation; Carbonates; Mg-smectite; Fe-mica},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Furr2004,
Title = {Interpreting effect sizes in contrast analysis},
Author = {R M Furr},
Journal = {Understanding Statistics},
Pages = {1-25},
Volume = {3},
Year = {2004},
Abstract = {Although researchers arc becoming more aware of the benefits of reporting effect sizes, the usefulness of effect sites can he enhanced if researchers have a firm understanding of how to interpret the various effect sizes that are available. This article articulates and illustrates the interpretation of 3 pairs of effect sizes developed for use in contrast analysis (Rosenthal, Rosnow, & Rubin, 2000). Three ways of conceptualizing the effect sizes are discussed: (a) as correlations between predicted and observed data, has proportion of variance accounted for, and (c) as parallel to a multiple regression approach. It is hoped that this interpretive aid helps increase the frequency with which effect sizes are reported and the effectiveness with which they are used.},
Keywords = {contrast analysis, effect sizes, significance testing, correlation},
Owner = {Administrador},
Timestamp = {2011.01.04}
}
@Article{FuscoEtAl1985,
Title = {On the reconstruction of lost data in images of more than one band},
Author = {Fusco, L. and Trevese, D.},
Journal = {International Journal of Remote Sensing},
Pages = {1535-1544},
Volume = {6},
Year = {1985},
Number = {9},
Abstract = { Abstract Starting from the necessity of replacing data of some failed sensors of the LANDSAT-4 Thematic Mapper a methodology for a statistical and objective comparison of various reconstruction techniques for the missing data has been denned. It has been shown that the use of the information contained in a second band gives good results, even in cases where they are not strongly correlated, provided that a proper choice of parameters is made. A method, based on the local relationship between the radiance of the two bands, is suggested which improves on the results obtained by other authors. },
Doi = {10.1080/01431168508948299},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/01431168508948299},
Url = {http://www.tandfonline.com/doi/abs/10.1080/01431168508948299}
}
@Article{GabrielEtAl2013,
Title = {stpp: an {R} package for plotting, simulating and analyzing spatio-temporal point patterns},
Author = {Edith Gabriel and Barry S. Rowlingson and Peter J. Diggle},
Journal = {Journal of Statistical Software},
Pages = {1-29},
Volume = {53},
Year = {2013},
Month = {4},
Number = {2},
Accepted = {2012-11-30},
Bibdate = {2012-11-30},
Coden = {JSSOBK},
Day = {21},
File = {GabrielEtAl2013.pdf:GabrielEtAl2013.pdf:PDF},
ISSN = {1548-7660},
Owner = {alessandro},
Submitted = {2012-04-29},
Url = {http://www.jstatsoft.org/v53/i02}
}
@Article{GainesEtAl2000,
Title = {The Effects of Drought on Foraging Habitat Selection of Breeding Wood Storks in Coastal Georgia},
Author = {Karen F. Gaines and Bryan Jr., A. Lawrence and Philip M. Dixon},
Journal = {Waterbirds},
Pages = {64-73},
Volume = {23},
Year = {2000},
File = {GainesEtAl2000.pdf:GainesEtAl2000.pdf:PDF},
Keywords = {point pattern analysis; ppp; bird nests;},
Owner = {alessandro},
Timestamp = {03.12.2013}
}
@Article{GalantiniEtAl2004,
Title = {Influence of texture on organic matter distribution and quality and nitrogen and sulphur status in semiarid Pampean grassland soils of Argentina},
Author = {J.A. Galantini and N. Senesi and G. Brunetti and R. Rosell},
Journal = {Geoderma},
Pages = {143-152},
Volume = {123},
Year = {2004},
Abstract = {Texture, among several other factors, may play an important role in controlling the distribution and activity of soil microbial biomass and, in turn, the size and quality of soil organic matter (SOM) pools, and the related dynamics of N and S in soil. Little information is available in the current literature on the occurrence and extent of these textural effects in semiarid soils of Argentinean Pampas. Separation of the primary SOM pools by particle-size fractionation were expected to contribute to elucidate how different SOM fractions could be affected by texture in Pampean soils. The main objective of this study was to evaluate the amount, quality and distribution of SOM fractions, either physically separated, i.e., particulate and mineral- associated SOM, or chemically separated, i.e. the humic acid (HA) and fulvic acid (FA) fractions of SOM, in the whole soil and fine fractions (silt and clay) of variously textured soils from semiarid grasslands in the Argentinean Pampas region. Furthermore, the influence of texture was investigated on the N and S status and distribution, also in relation to SOM fractions. The content of any SOM fraction showed a highly positive correlation with the fine fraction content of the parent soil. The amounts of N and S in particulate SOM were not affected by soil textural differences, whereas they decreased in the fine fractions and in HAs with increasing content of soil fine fractions. Fine-textured soils contained an amount of total N and S, possibly mobilized from SOM components of the fine fraction including HAs, which was larger than that occurring in coarse- textured soils. The HAs in the fine fractions of fine-textured soils featured a degree of aromatic polycondensation, a level of conjugated chromophores and a humification degree larger, and a molecular heterogeneity smaller than those of HAs isolated from the fine fractions of coarse-textured soils. An opposite trend was exhibited by the corresponding FAs. In conclusion, soil texture appeared to have an important impact on the amount, distribution and chemical properties of the various SOM components, and especially the HA and FA fractions, in Pampean grassland soils. As well, S and N mobility and availability in these soils was markedly influenced by textural differences.},
Doi = {10.1016/j.geoderma.2004.02.008},
File = {:Geoderma/Galantini et al_Geoderma_2004.pdf:PDF},
Keywords = {Argentinean Pampas; Semiarid grasslands; Soil texture; Nitrogen; Sulphur; Organic matter; Humic acids; Fulvic acids},
Owner = {Alessandro},
Timestamp = {2011.01.03}
}
@Inproceedings{Gallant2011,
Title = {Adaptive smoothing for noisy DEMs},
Author = {John Gallant},
Booktitle = {Proceedings of the Geomorphometry 2011},
Pages = {37-40},
Year = {2011},
Address = {Redlands},
File = {Gallant2011.pdf:Gallant2011.pdf:PDF},
Institution = {ESRI},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.13}
}
@Techreport{GallantEtAl2011,
Title = {1 second SRTM Derived Products User Guide (Version 1.0.4)},
Address = {Canberra},
Author = {Gallant, J.C. and Dowling, T.I. and Read, A.M. and Wilson, N. and Tickle, P. and Inskeep, C.},
Pages = {206},
Publisher = {Geoscience Australia},
Year = {2011},
File = {GallantEtAl2011.pdf:GallantEtAl2011.pdf:PDF},
Keywords = {DEM Interpolation; Striping;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04},
Url = {http://www.ga.gov.au/topographic-mapping/digital-elevation-data.html}
}
@Article{GallantEtAl2003,
Title = {A multiresolution index of valley bottom flatness for mapping depositional areas},
Author = {John C. Gallant and Trevor I. Dowling},
Journal = {Water Resources Research},
Volume = {39},
Year = {2003},
Number = {12},
Abstract = {Valley bottoms function as hydrological buffers that significantly affect runoff behavior. Distinguishing valley bottoms from hillslopes is an important first step in identifying and characterizing sediment deposits for hydrologic and geomorphic purposes. Valley bottoms occur at a range of scales from a few meters to hundreds of kilometers in extent. This paper describes an algorithm for using digital elevation models to identify valley bottoms based on their topographic signature as flat low-lying areas. The algorithm operates at a range of scales and combines the results at different scales into a single multiresolution index. This index classifies degrees of valley bottom flatness, which may be related to depth of deposit. The index can also be used to identify groundwater constrictions and to delineate hydrologic and geomorphic units.},
Doi = {10.1029/2002WR001426},
File = {GallantEtAl2003.pdf:GallantEtAl2003.pdf:PDF},
Keywords = {terrain analysis, digital elevation model, slope, scale, landscape position},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21}
}
@Inproceedings{GallantEtAl2009,
Title = {Enhancing the SRTM data for Australia},
Author = {J. C. Gallant and A. Read},
Booktitle = {Geomorphometry},
Editor = {Ross Purves and Stephan Gruber and Ralph Straumann and Tomislav Hengl},
Pages = {149-154},
Publisher = {University of Zurich},
Year = {2009},
Address = {Zurich},
File = {GallantEtAl2009.pdf:GallantEtAl2009.pdf:PDF},
Keywords = {DEM Interpolation; ANUDEM; Fourier; Striping;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04},
Url = {http://geomorphometry.org/GallantRead2009}
}
@Article{GallantEtAl1996,
Title = {TAPES-G: A grid-based terrain analysis program for the environmental sciences},
Author = {John C. Gallant and John P. Wilson},
Journal = {Computers and Geosciences},
Pages = {713-722},
Volume = {22},
Year = {1996},
Number = {7},
Abstract = {TAPES-G is a grid-based terrain analysis program that computes slope, aspect, upslope contributing area, profile and plan curvature and several other topographic attributes for each cell of a square-grid digital elevation model (DEM). These topographic attributes can be used to represent key physical processes in a form simple enough to allow modeling at catchment and larger scales. The program creates initially a depressionless DEM if desired. Upslope contributing area can be calculated using either the classical D8 algorithm, the quasi-random Rho8 algorithm, the multiple flow direction FD8/FRho8 algorithm or Costa-Cabral and Burges's stream tube-based DEMON algorithm. Stream networks, sub-catchments and the spatial distribution of individual attributes can be plotted interactively or copied to the ARC/INFO geographic information system (GIS) for further processing.},
Doi = {10.1016/0098-3004(96)00002-7},
File = {:Computers and Geosciences/Gallant e Wilson_Comput Geosci_1996.pdf:PDF},
ISSN = {0098-3004},
Keywords = {DEM; redemds}
}
@Article{Galvao2008,
Title = {Arte e tecnologia: diferença e invenção},
Author = {Edilamar Galvão},
Journal = {FACOM},
Pages = {16-29},
Volume = {19},
Year = {2008},
File = {Galvao2008.pdf:Galvao2008.pdf:PDF},
Keywords = {Arts; Adorno; Benjamin; Aura; Horkheimer;},
Url = {http://www.faap.br/revista_faap/revista_facom/facom_19/edilamar.pdf}
}
@Article{Gardner1979,
Title = {How water moves in the soil},
Author = {W H Gardner},
Journal = {Crops and Soils Magazine},
Pages = {13-18},
Volume = {32},
Year = {1979},
Abstract = {WATER- as a liquid or vapor-is nearly always moving in the soil. It moves down ward following rain or irrigation. It moves upward to evaporate from the soil surface, or into plant roots and eventually into the atmosphere through transpiration. Horizontal movement also is important as for example when water moves out from an irrigation furrow. Water movement can be in any direc tion depending on conditions. Water flows through the open pores be tween soil particles. In an ordinary silt loam, for examp le, half the soil volume is pore space. W ater and air share this pore space. For most p lants it must be possible for air from the root zone to exchange with air from the surface. Air from the root zone is laden with carbon dioxide as a result of meta bolism in the roots. Pores in different soils vary in SIze and number. Silty and clayey soils generally have smaller pores but many more pores than sandy soils. Because of the number of pores, when silty and clayey soils are filled with water these soils contai n more tota l water than sandy soil with all its pores filled.},
File = {:Crops and Soils Magazine/Gardner_Crops & Soils_1979.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.watermark-monitor.com/Fichier.ashx?SITE=CHALLEN&FILE=WaterMovement.pdf}
}
@Manual{Garmin2004,
Title = {GPSMAP 60CS with sensors and maps owner's manual},
Address = {Olathe},
Author = {Garmin},
Publisher = {Garmin International, Inc.},
Year = {2004},
File = {Garmin2004.pdf:Garmin2004.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.16},
Url = {http://www.garmin.com/manuals/}
}
@Techreport{GasparettoEtAl1988,
Title = {Geologic map of the {S}anta {M}aria {S}heet},
Address = {Santa Maria},
Author = {Gasparetto, N. G. L. and Maciel Filho, C. L. and Medeiros, E. R. and Menegotto, E. and Sartori, P. L. P. and Veiga, P.},
Publisher = {Federal University of Santa Maria},
Year = {1988},
Note = {{S}cale of 1:50,000},
File = {GasparettoEtAl1988.pdf:GasparettoEtAl1988.pdf:PDF},
Keywords = {caturrita; geologia; geomorfologia; dnos; PhDpaper1;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.12}
}
@Article{Gatiboni2011,
Title = {Pós-graduação em Manejo do Solo , Universidade do Estado de Santa Catarina, campus Lages},
Author = {Luciano Colpo Gatiboni},
Journal = {Boletim Informativo da SBCS},
Pages = {53-56},
Volume = {36},
Year = {2011},
Owner = {pccli},
Timestamp = {2011.12.28}
}
@Article{GattoEtAl2009,
Title = {Comparison of methods for determination of organic carbon in soils under eucalypt plantations},
Author = {Alcides Gatto and Barros, Nairam Félix de and Roberto Ferreira Novais and Ivo Ribeiro Silva and Mendonça, Eduardo de Sá and Villani, Ecila Mercês de Albuquerque},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {735-740},
Volume = {33},
Year = {2009},
Abstract = {A determinação de C orgânico do solo tem sido realizada, principalmente, por métodos baseados na oxidação química. Contudo, recentemente, o C tem sido determinado por métodos de combustão seca, como o CHNS/O. Este trabalho teve como objetivo comparar três métodos para determinação do C de solos cultivados com eucalipto em regiões com diferentes características edafoclimáticas. Foram comparados os métodos: Walkley-Black, Yeomans & Bremner e combustão seca (CHNS/O), utilizando amostras de diferentes classes de solos obtidas nas seguintes profundidades: 0?20, 20?80 e 80?130 cm nos Cambissolos; 0?25, 25?70 e 70?110 cm nos Latossolos; e 0?18, 18?50 e 50?110 cm nos Neossolos. Amostras de TFSA foram trituradas em almofariz, passadas em peneira de malha de 0,2 mm e submetidas aos três métodos de determinação de C. Os teores de C obtidos correlacionaram-se positiva e significativamente entre si. Os métodos Walkley-Black e Yeomans & Bremner tenderam a subestimar os teores de C em relação ao método de referência, CHNS/O, tanto no que se refere às camadas superficiais quanto àquelas mais profundas, com menores teores de C. Equações de regressão linear com elevados valores de R 2 permitiram transformar os teores de C obtidos por Walkley-Black e Yeomans & Bremner em C por combustão seca.},
File = {GattoEtAl2009.pdf:Revista Brasileira de Ciência do Solo/GattoEtAl2009.pdf:PDF},
Keywords = {combustão seca, combustão úmida, fator de correção, comparação de métodos; soc methods;},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://dx.doi.org/10.1590/S0100-06832009000300026}
}
@Article{Gaya2012,
Title = {O importante é publicar: a (re) produção científica nos países de língua portuguesa},
Author = {Adroaldo Gaya},
Journal = {Boletim da Sociedade Brasileira de Ciência do Solo},
Pages = {6-11},
Year = {2012},
Number = {1},
File = {Gaya2012.pdf:Gaya2012.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Manual{GDAL2013,
Title = {GDAL - Geospatial Data Abstraction Library},
Author = {GDAL Development Team,},
Year = {2013},
Note = {(GDAL 1.10.0, released 2013/04/24)},
Organization = {Open Source Geospatial Foundation},
Keywords = {georeferencer;},
Url = {http://www.gdal.org}
}
@Article{GebbersEtAl2010,
Title = {Precision agriculture and food security},
Author = {Gebbers, R. and Adamchuk, V. I.},
Journal = {Science},
Pages = {828-831},
Volume = {327},
Year = {2010},
Month = {Feb},
Number = {5967},
__markedentry = {[alessandro:5]},
Doi = {10.1126/science.1183899},
File = {GebbersEtAl2010.pdf:GebbersEtAl2010.pdf:PDF},
ISSN = {1095-9203},
Owner = {alessandro},
Publisher = {American Association for the Advancement of Science (AAAS)},
Timestamp = {30.04.2015}
}
@InCollection{GengEtAl2010,
Title = {Toward Digital Soil Mapping in Canada: Existing Soil Survey Data and Related Expert Knowledge},
Author = {Geng, Xiaoyuan and Fraser, Walter and VandenBygaart, Bert and Smith, Scott and Waddell, Arnie and Jiao, You and Patterson, Gary},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {325-335},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_26},
File = {GengEtAl2010.pdf:GengEtAl2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {Canadian soil; Legacy soil data; Digital soil mapping; Soil survey; Expert system},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_26}
}
@Article{German2003,
Title = {Historical contingencies in the coevolution of environment and livelihood: contributions to the debate on Amazonian Black Earth},
Author = {Laura A. German},
Journal = {Geoderma},
Pages = {307?331},
Volume = {111},
Year = {2003},
Abstract = {This article applies findings from agronomic and ethnographic research among small-scale Amazonian farmers to the ongoing debate over the origins of Black Earth (an anthrosol associated with native American settlements) and the intentionality of anthropic soil formation processes. Quantitative and qualitative data from semi-structured interviews, structured questionnaires and botanical plots highlight the constraints and opportunities associated with the use of Black Earth and Latosols among contemporary farmers. By identifying the strongest incentives for Black Earth cultivation today, and how many of these derive from relatively recent technological, politicaleconomic and ecological influences, it is possible to demonstrate how perception and use of these anthrosols are likely to have changed throughout history. Data indicate that important historical contingencies underlie the relative benefits derived from the cultivation of Black Earth through time, and are likely to have structured both pedological and cultural trajectories in site evolution. They also point to the conditions under which Black Earth is likely to have become an important economic resource. By demonstrating the historical specificity of human motives, it is possible to obtain a more complex picture of the conditions under which anthropogenic environments may have expanded or restricted the range of viable economic activities in the region, influencing site evolution.},
File = {:Geoderma/German_Geoderma_2003.pdf:PDF},
Keywords = {Indian Black Earth (Terra Preta do I?ndio); Amazonia; Anthrosol; Historical ecology},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://www.ingentaconnect.com/content/els/00167061/2003/00000111/00000003/art00270}
}
@Article{GerzabekEtAl2006,
Title = {How are soil use and management reflected by soil organic matter characteristics: a spectroscopic approach},
Author = {M. H. Gerzabek and R. S. Antil and I. Kögel-Knabner and H. Knicker and H. Kirchmann and G. Haberhauer},
Journal = {European Journal of Soil Science},
Pages = {485-494},
Volume = {57},
Year = {2006},
Abstract = {We studied the quantitative and qualitative changes of soil organic matter (SOM) due to different land uses (arable versus grassland) and treatments (organic manure and mineral fertilizer) within an agricultural crop rotation in a long-term field experiment, conducted since 1956 at Ultuna, Sweden, on a Eutric Cambisol. The organic carbon (OC) content of the grassland plot was 1.8 times greater than that of the similarly fertilized Ca(NO3)2 treated cropped plots. The comparison of two dispersion techniques (a low-energy sonication and a chemical dispersion which yield inherent soil aggregates) showed that increasing OC contents of the silt-sized fractions were not matched by a linear increase of silt-sized aggregates. This indicated saturation of the aggregates with OC and a limited capacity of particles to protect OC physically. Thermogravimetric analyses suggested an increase of free organic matter with increasing OC contents. Transmission FT-IR spectroscopy showed relative enrichment of carboxylic, aromatic, CH and NH groups in plots with increasing OC contents. The silt-sized fractions contained the largest SOM pool and, as revealed by 13C NMR spectroscopy, were qualitatively more influenced by the plant residue versus manure input than the clay fractions. Alkyl and O-alkyl C in the silt-sized fractions amounted to 57.4% of organic carbon in the animal manure treated plots and 50?53% in the other treatments.},
Doi = {10.1111/j.1365-2389.2006.00794.x},
File = {:European Journal of Soil Science/Gerzabek et al_Eur J Soil Sci_2006.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Inproceedings{GesslerEtAl1996,
Title = {Progress in soil-landscape modeling and spatial prediction of soil attributes for environmental models},
Author = {P.E. Gessler and N.J. McKenzie and M.F. Hutchinson},
Booktitle = {Proceedings of the Third International Conference on Integrating GIS and Environmental Modeling},
Pages = {9},
Year = {1996},
Address = {Sante Fe},
Abstract = {This paper summarizes progress and new work for the quantitative spatial prediction of soil attributes. An example spatial prediction of the soil profile carbon pool is presented for a study area in Australia. New methods integrating soil layer models and a hillslope profile sampling procedure are demonstrated for development of spatially-averaged hillslope models for three study areas. Visualizations of convergent and divergent hillslope soil layer cross-sections for each study area are presented with interpretations of landscape function.},
File = {GesslerEtAl1996.pdf:Anais/GesslerEtAl1996.pdf:PDF},
Institution = {National Center for Geographic Information and Analysis},
Keywords = {redemds},
Owner = {pccli},
Timestamp = {2011.10.04},
Url = {http://www.ncgia.ucsb.edu/}
}
@InCollection{GesslerEtAl2009,
Title = {The Future of Geomorphometry},
Author = {P. Gessler and R. Pike and R.A. MacMillan and Tomislav Hengl and H.I. Reuter},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {28},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {637 - 652},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {10.1016/S0166-2481(08)00028-7},
File = {GesslerEtAl2009.pdf:GesslerEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {dynamic geomorphometry},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Article{GesslerEtAl1995,
Title = {Soil-landscape modelling and spatial prediction of soil attributes},
Author = {Gessler, P. E. and Moore, I. D. and McKenzie, N. J. and Ryan, P. J.},
Journal = {International Journal of Geographical Information Systems},
Pages = {421-432},
Volume = {9},
Year = {1995},
Number = {4},
Abstract = {Explicit and quantitative models for the spatial prediction of soil and landscape attributes are required for environmental modelling and management. In this study, advances in the spatial representation of hydrological and geomorphological processes using terrain analysis techniques are integrated with the development of a field sampling and soil-landscape model building strategy. Statistical models are developed using relationships between terrain attributes (plan curvature, compound topographic index, upslope mean plan curvature) and soil attributes (A horizon depth, Solum depth, E horizon presence/absence) in an area with uniform geology and geomorphic history. These techniques seem to provide appropriate methodologies for spatial prediction and understanding soil landscape processes.},
Doi = {10.1080/02693799508902047},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/02693799508902047},
File = {:International journal of geographical information/Gessler et al_Int J Geo Inf Sys_1995.pdf:PDF},
Keywords = {redemds; Sampling; Design;}
}
@Article{Geyer1992,
Title = {Practical Markov Chain Monte Carlo},
Author = {Charles J. Geyer},
Journal = {Statistical Science},
Pages = {473-511},
Volume = {7},
Year = {1992},
File = {Geyer1992.pdf:statistical_science/Geyer1992.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@Article{GhidinEtAl2006,
Title = {Toposseqüências de Latossolos originados de rochas basálticas no Paraná. i - mineralogia da fração argila},
Author = {André Ademir Ghidin and Vander De Freitas Melo and Valmiqui Costa Lima and Jane Maria Jonasson Costa Lima},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {293-306},
Volume = {30},
Year = {2006},
Abstract = {Com o objetivo de estudar o efeito de diferentes posições do relevo e materiais de origem sobre as características mineralógicas da fração argila dos solos, foram estudadas duas toposseqüências de Latossolos (Latossolo Bruno ácrico - LBw e Latossolo Vermelho distroférrico - LVdf) no Estado do Paraná. A fração argila foi estudada por difratometria de raios X, análise termodiferencial, análise termogravimétrica diferencial e análises químicas. Os teores totais de Si, Al e Fe foram determinados após a digestão das amostras com água régia (mistura 3:1 de HCl 36 %: HNO 3 68 %). Nos extratos resultantes da extração com oxalato de amônio ácido (OAA) e ditionito-citrato-bicarbonato (DCB), determinaram-se os teores de Fe e Al. O teor de Si no material de origem e a posição dos perfis na paisagem foram importantes na definição da mineralogia da fração argila. O LBw e o LVdf foram classificados como caulinítico/goethítico e gibbsítico/ hematítico, respectivamente. Verificaram-se maiores teores de SiO 2 total e de caulinita (Ct) (373,3 a 574,3 g kg -1 ) para o LBw nos horizontes mais profundos (Bw2) e nos perfis mais baixos na toposseqüência. A maior presença de água associada à drenagem limitada no perfil 4 do LBw (ponto mais baixo da toposseqüência) favoreceu os maiores teores de óxidos de Fe e Al de baixa cristalinidade (OAA) e os menores teores de Fe 2 O 3 DCB (óxidos de Fe mais cristalinos). De maneira geral, não houve variação consistente nos valores dos atributos cristalográficos da hematita e goethita de acordo com a profundidade do solo e posição do perfil na toposseqüência. Os menores índices de cristalinidade da Ct foram verificados nas amostras do LVdf, associados ao maior teor de Fe total no solo (r = 0,79 ** ). O menor crescimento da gibbsita [menor valor do diâmetro médio do cristal no domínio (110)] foi observado no perfil 4 do LBw (posição mais baixa da toposseqüência).},
Keywords = {silício, caulinita, óxidos de ferro, gibbsita, características cristalográficas},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v30n2/a10v30n2.pdf}
}
@Article{GiassonEtAl2006,
Title = {Digital soil mapping using multiple logistic regression on terrain parameters in Southern Brazil},
Author = {Elvio Giasson and Robin Thomas Clarke and Inda Junior, Alberto Vasconcellos and Gustavo Henrique Merten and Carlos Gustavo Tornquist},
Journal = {Scientia Agricola},
Pages = {262-268},
Volume = {63},
Year = {2006},
Abstract = {Soil surveys are necessary sources of information for land use planning, but they are not always available. This study proposes the use of multiple logistic regressions on the prediction of occurrence of soil types based on reference areas. From a digitalized soil map and terrain parameters derived from the digital elevation model in ArcView environment, several sets of multiple logistic regressions were defined using statistical software Minitab, establishing relationship between explanatory terrain variables and soil types, using either the original legend or a simplified legend, and using or not stratification of the study area by drainage classes. Terrain parameters, such as elevation, distance to stream, flow accumulation, and topographic wetness index, were the variables that best explained soil distribution. Stratification by drainage classes did not have significant effect. Simplification of the original legend increased the accuracy of the method on predicting soil distribution.},
Doi = {10.1590/S0103-90162006000300008},
File = {GiassonEtAl2006.pdf:GiassonEtAl2006.pdf:PDF},
Keywords = {redemds},
Owner = {pccli},
Timestamp = {2011.12.15}
}
@Book{GibbonsEtAl2003,
Title = {Nonparametric statistical inference},
Author = {Jean Dickinson Gibbons and Subhabrata Chakraborti},
Pages = {645},
Publisher = {New York, USA: Marcel Dekker},
Year = {2003},
Edition = {4},
File = {GibbonsEtAl2003.pdf:Book/GibbonsEtAl2003.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{GignouxEtAl1999,
Title = {Comparing the performances of {D}iggle's tests of spatial randomness for small samples with and without edge-effect correction: application to ecological data},
Author = {Gignoux, Jacques and Duby, Camille and Barot, Sébastien},
Journal = {Biometrics},
Pages = {156-164},
Volume = {55},
Year = {1999},
Number = {1},
Abstract = {Diggle's tests of spatial randomness based on empirical distributions of interpoint distances can be performed with and without edge-effect correction. We present here numerical results illustrating that tests without the edge-effect correction proposed by Diggle (1979, Biometrics 35, 87-101) have a higher power for small sample sizes than those with correction. Ignoring the correction enables detection of departure from spatial randomness with smaller samples (down to 10 points vs. 30 points for the tests with correction). These results are confirmed by an example with ecological data consisting of maps of two species of trees in a West African savanna. Tree numbers per species per map were often less than 20. For one of the species, for which maps strongly suggest an aggregated pattern, tests without edge-effect correction enabled rejection of the null hypothesis on three plots out of five vs. on only one for the tests with correction.},
Copyright = {Copyright © 1999 International Biometric Society},
File = {GignouxEtAl1999.pdf:GignouxEtAl1999.pdf:PDF},
ISSN = {0006341X},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 1999},
Keywords = {Diggle; point pattern analysis; ppp;},
Language = {English},
Publisher = {International Biometric Society},
Url = {http://www.jstor.org/stable/2533906}
}
@Article{GilesEtAl1996,
Title = {Comparison of derivative topographic surfaces of a DEM generated from stereoscopic SPOT images with field measurements},
Author = {Philip T. Giles and Steven E. Franklin},
Journal = {Photogrammetric Engineering and Remote Sensing},
Pages = {1165-1171},
Volume = {62},
Year = {1996},
File = {GilesEtAl1996.pdf:Photogrammetric_Engineering_Remote_Sensing/GilesEtAl1996.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.13}
}
@Book{GilksEtAl1996,
Title = {Markov Chain Monte Carlo in practice},
Author = {W.R. Gilks and S. Richardson and D.J. Spiegelhalter},
Publisher = {Boca Raton, USA: Chapman and Hall/CRC},
Year = {1996},
File = {GilksEtAl1996.pdf:Book/GilksEtAl1996.pdf:PDF},
Keywords = {uncertainty; sensitivity},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@Article{GirardEtAl2003,
Title = {River?groundwater interactions in the Brazilian Pantanal. The case of the Cuiabá River},
Author = {Pierre Girard and Carolina J. Silva and Mara Abdo},
Journal = {Journal of Hydrology},
Pages = {57-66},
Volume = {283},
Year = {2003},
Abstract = {The Pantanal is a vast evaporation plain and sediment accumulation surface that ?oods annually. It is located in the Upper Paraguay River Basin, a major source of ?oodwaters to the Pantanal. The recent construction of a large dam in the upper reach of the Cuiaba? River raises questions: What will be the dam in?uence on the ?ood area and duration? What will be the consequence for groundwater replenishment and permanence of ?ow in the ?oodplain channels during the dry period? This study of the Cuiaba? River, within the Pantanal, describes water ?ow between the river channel and its adjacent ?oodplain, as well as relations between the surface water and groundwater near the river. Flooding of the plain adjacent to the Cuiaba? River critically depends on the river stage and proceeds through a complex hydrographic network. No free water table was encountered; groundwater was con?ned below clay?silt layers. Two groundwater bodies were distinguished based on their piezometric behavior. In both cases the river stage variations appeared to control the piezometric heads and the ?ood was the main recharge source. The groundwater moved from the river towards the ?oodplain where it appeared to sustain channel ?ow and to maintain soil humidity in depressed areas during the dry period.},
Doi = {10.1016/S0022-1694(03)00235-X},
Keywords = {Pantanal; Flood pulse; Groundwater; Recharge; Ecological stability},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Inproceedings{GirardelloEtAl2007,
Title = {Avaliação de métodos de cálculo de estoques de carbono orgânico do solo em áreas de integração lavoura-pecuária},
Author = {V.C. Girardello and R.S. Nicoloso and T. Lovato and T.J.C. Amado and J. Bragagnolo},
Booktitle = {Anais do XXX Congresso Brasileiro de Ciência do Solo},
Pages = {1-5},
Publisher = {Universidade Federal do Rio Grande do Sul},
Year = {2007},
Organization = {Sociedade Brasileira de Ciência do Solo},
Abstract = {Um dos atributos mais usados para avaliar a qualidade do solo é a matéria orgânica, sendo esta considerada um atributo chave para essa verificação. No entado é primordial a adoção de uma metodologia de cálculo que indique fielmente as alterações dos estoques de C provocadas pelos sistemas de manejo do solo e cultura, sem considerar aquelas provenientes das modificações das características físicas do solo. Dois métodos atualmente são utlizados para avaliar os estoques de C no solo. Esse trabalho tem como objetivo, comparar os métodos da camada equivalente e massa equivalente para os cálculos do estoque de C orgânico no solo e sua utilização em experimentos que incluam pisoteio bovino. No experimento foi conduzido no município de Jarí ? Rs , no período que vai do ano 2001 até o ano 2005. O pisoteio bovino causa uma aumento nos valores da densidade do solo, e isso gera um reflexo direto na massa de solo ,alterando assim de maneira dicisiva a determinação dos estoques de C orgânico se o método utilizado for o da camada equivalente. Porem quando se adota o método da massa equivalente, o ajustamento da espessura da camada do solo avaliada, os efeitos do pisoteio bovino são suprimidos. Os resultados encontrados demonstram a impotância do cálculo dos estoques de C orgânico ser feito utilizando o método da massa equivalente de solo, a qual elimina o efeito dos sistemas de uso e manejo na densidade do solo.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{GirardiEtAl2009,
Title = {Erro tipo {I} e poder de cinco testes de comparação múltipla de médias},
Author = {L Henrique Girardi and {CARGNELUTTI FILHO}, Alberto and Lindolfo Storck},
Journal = {Revista Brasileira de Biomas},
Pages = {23-26},
Volume = {27},
Year = {2009},
Number = {1},
Abstract = {O objetivo deste trabalho foi avaliar os testes t, Tukey, Bonferroni, Duncan e Student-Newman-Keuls (SNK) em relação ao erro tipo I e ao poder, em cenários formados por combinações de número de tratamentos, número de repetições e coeficientes de variação, em condição de normalidade dos resíduos. Foram simulados, via Monte Carlo, oitenta e vinte e cinco cenários, respectivamente, para avaliar o erro tipo I e o poder dos testes. O teste t controla a taxa de erro tipo I por comparação (TPC), e os testes de Tukey, Bonferroni e SNK controlam a taxa de erro tipo I por experimento (TPE). Já o teste de Duncan não controla a TPC e a TPE. Há decréscimo da TPC dos testes Tukey, Bonferroni, Duncan e SNK e acréscimo da TPE nos testes t e Duncan com o aumento do número de tratamentos. Há acréscimo do poder dos cinco testes com o incremento do tamanho da diferença entre médias adjacentes e com o aumento do número de tratamentos. Os testes t e Duncan apresentam maior poder em relação ao Tukey e Bonferroni, nessa ordem, e o SNK apresenta situação intermediária.},
File = {GirardiEtAl2009.pdf:GirardiEtAl2009.pdf:PDF},
Keywords = {Simulação; Monte Carlo; taxa de erro por comparação; taxa de erro por experimento; multiple comparison},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.15},
Url = {http://jaguar.fcav.unesp.br/RME/fasciculos/v27/v27_n1/A2_Alberto.pdf}
}
@Article{GlasbeyEtAl2007,
Title = {Alignment and sub-pixel Interpolation of Images using {Fourier} methods},
Author = {Glasbey, C. A. and Van Der Heijden, G. W. A. M.},
Journal = {Journal of Applied Statistics},
Pages = {217-230},
Volume = {34},
Year = {2007},
Number = {2},
Abstract = {A method is proposed for both estimating and correcting a translational mis-alignment between digital images, taking account of aliasing of high-frequency information. A parametric model is proposed for the power- and cross-spectra of the multivariate stochastic process that is assumed to have generated a continuous-space version of the images. Parameters, including those that specify misalignment, are estimated by numerical maximum likelihood. The effectiveness of the interpolant is confirmed by simulation and illustrated using multi-band Landsat images.},
File = {GlasbeyEtAl2007.pdf:GlasbeyEtAl2007.pdf:PDF},
Keywords = {Aliasing; coherency; complex Gaussian distribution; cross-spectrum; landsat image; phase spectrum; power spectrum; sub-pixel; Nyquist},
Url = {http://EconPapers.repec.org/RePEc:taf:japsta:v:34:y:2007:i:2:p:217-230}
}
@Book{Gleiser2010,
Title = {Criação imperfeita},
Address = {Rio de Janeiro},
Author = {Marcelo Gleiser},
Pages = {368},
Publisher = {Editora Record},
Year = {2010},
Edition = {1},
Owner = {pccli},
Timestamp = {2011.12.14}
}
@Book{Gliessman2005,
Title = {Agroecologia - processos ecológicos em agricultura sustentável},
Address = {Porto Alegre},
Author = {Stephen R Gliessman},
Pages = {653},
Publisher = {Editora da UFRGS},
Year = {2005},
Edition = {3},
Owner = {alessandro},
Timestamp = {22.05.2013}
}
@Booklet{GlobalSoilMap.net2011,
Title = {Specifications version 1 {G}lobal{S}oil{M}ap.net products - release 2.1},
Author = {GlobalSoilMap.net},
Year = {2011},
Edition = {2.1},
File = {:techreport/GlobalSoilMap_net_Report_2011.pdf:PDF},
Institution = {GlobalSoilMap.net},
Keywords = {redemds},
Owner = {pccli},
Pages = {50},
Publisher = {GlobalSoilMap.net},
Timestamp = {2011.12.23},
Url = {http://www.globalsoilmap.net/specifications}
}
@Article{GobinEtAl2001,
Title = {Soil-landscape modelling to quantify spatial variability of soil texture},
Author = {A. Gobin and P. Campling and J. Feyen},
Journal = {Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere},
Pages = {41 - 45},
Volume = {26},
Year = {2001},
Number = {1},
Abstract = {Soil-landscape models were developed to predict the spatial distribution of soil texture at the surface horizon across a catchment in southeastern Nigeria. A discretised thin-plate spline technique, in conjunction with a connected drainage-enforcement algorithm supplemented with the incorporation of ridge and stream-line data, was used to ensure proper hydrogeomorphic properties of the output Digital Elevation Model (DEM). Terrain attributes were derived from the resulting DEM. Stepwise multiple-linear regression was performed on the normalised terrain attributes and on the principal components constructed from the normalised terrain attributes to avoid multi-collinearity. The derived soil-landscape models were used to predict clay, silt, sand, ironstone and thickness of the surface horizon from the original terrain attributes for the entire study area (R2=0.41 to 0.75). The models were further validated using statistical criteria. Only for the soil variable clay did the soil-landscape model improve after stratification according to geological formation (R2 increased from 0.47 to 0.76). Cell-based algorithms were used to map the soil-landscape models spatially. The resulting spatial patterns correctly showed a significant relationship with the terrain attributes. This relationship is useful when studying patterns of sediment movement.},
Doi = {DOI: 10.1016/S1464-1909(01)85012-7},
File = {:Phys. Chem. Earth/Gobin et al_Phys Chem Earth_2001.pdf:PDF},
Keywords = {redemds}
}
@Article{GoidtsEtAl2009,
Title = {Magnitude and sources of uncertainties in soil organic carbon (SOC) stock assessments at various scales},
Author = {E. Goidts and B. van Wesemael and M. Crucifix},
Journal = {European Journal of Soil Science},
Pages = {723?739},
Volume = {60},
Year = {2009},
Abstract = {Uncertainties in soil organic carbon (SOC) stock assessments are rarely quantified even though they are critical in determining the significance of the results. Previous studies on this topic generally focused on a single variable involved in the SOC stock calculation (SOC concentration, sampling depth, bulk density and rock fragment content) or on a single scale, rather than using an integrated approach (i.e. taking into account interactions between variables). This study aims to apply such an approach to identify and quantify the uncertainties in SOC stock assessments for different scales and spatial landscape units (LSU) under agriculture. The error propagation method (d method) was used to quantify the relative contribution of each variable and interaction involved to the final SOC stock variability. Monte Carlo simulations were used to cross-check the results. Both methods converged (r2?0.78). As expected, the coefficient of variation of the SOC stock increased across scales (from 5 to 35%), and was higher for grassland than for cropland. Although the main source of uncertainty in the SOC stock varied according to the scale and the LSU considered, the variability of SOC concentration (due to errors from the laboratory and to the high SOC spatial variability) and of the rock fragment content were predominant. When assessing SOC stock at the landscape scale, one should focus on the precision of SOC analyses from the laboratory, the reduction of SOC spatial variability (using bulk samples, accurate re-sampling, high sampling density or stratified sampling), and the use of equivalent masses for SOC stock comparison. The regional SOC stock monitoring of agricultural soils in southern Belgium allows the detection of an average SOC stock change of 20% within 11 years if very high rates of SOC stock changes occur (1 t C ha?1 year?1).},
Doi = {10.1111/j.1365-2389.2009.01157.x},
File = {:European Journal of Soil Science/Goidts et al_Eur J Soil SciS_2009.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Mastersthesis{Goldani2006,
Title = {Ocupação antrópica e sócio-ambiental na área de captação do reservatório do {DNOS}, {S}anta {M}aria-{RS}},
Address = {Santa Maria},
Author = {Jurandi Zanoti Goldani},
Pages = {104},
School = {Graduate School in Geomatics, Federal University of Santa Maria},
Year = {2006},
Abstract = {A presente pesquisa tem como objetivo realizar um estudo do impacto ambiental provocado pelo avanço antrópica na vegetação nativa, a fim de identificar áreas de preservação permanente (APP) como encostas de morros, matas ciliares e oferecer subsídios para sua preservação. A intervenção do homem cada vez mais intensa no meio ambiente através dos recursos naturais, em especial florestas, rios e áreas de preservação permanente é uma conseqüência do progresso tecnológico e do crescimento populacional que se tem verificado ao longo do tempo, num futuro próximo, estes recursos naturais por se tornar cada vez mais importantes para o ser humano além da destruição de nossas florestas, fará com que o tratamento da água tenha um preço elevado demais para muitos. Para melhor entendimento da pesquisa foram elaborados mapas temáticos como: Geomorfológico, Hidrológico, Hipsométrico, Clinográfico, Uso da terra x declividade <5% e <47% em dois períodos, 1995 e 2003, com a finalidade conhecer as transformações espaciais e ambientais neste intervalo de tempo e propor soluções de amenizar os impactos ambientais encontrados. Paralelamente através de entrevista foram constatados varias irregularidades como: despejo de lixo nas margens de rios e ao longo de estradas, esgoto despejado a céu aberto e desmatamento, ocupações irregulares formando pequenas favelas. No levantamento sócio econômico foi detectado que 31% do lixo é recolhido duas vezes por semana e 66% somente uma vez por semana. Os que depositam o lixo a céu aberto somam 62% e os que queimam somam 28%. Os esgotos 25% despejam á céu aberto sem nenhum tratamento ou canalizado em direção aos rios, destes entrevistados 45% produzem algum tipo de impacto ambiental. Das moradias da sub-bacia hidrográfica 87% possuem registro de propriedade, 13% são lotes invadidos, todos eles são na encosta do morro do Cechela.},
File = {Goldani2006.pdf:dissertação/Goldani2006.pdf:PDF},
Keywords = {DNOS;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.13}
}
@Article{GoldbergEtAl1987,
Title = {Effect of saturating cation, {pH}, and aluminum and iron oxide on the flocculation of kaolinite and montmorillonite},
Author = {Sabine Goldberg and Robert A. Glaubig},
Journal = {Clays and Clay Minerals},
Pages = {220-227},
Volume = {35},
Year = {1987},
Abstract = {The effect of pH on the flocculation-dispersion behavior of noncrystalline aluminum and iron oxides, kaolinite, montmorillonite, and various mixtures of these materials was investigated. The clays were Na- or Ca-saturated and freeze-dried before use. Critical coagulation concentrations (CCC) of all materials and mixtures were found to be pH dependent. The A1 oxide was flocculated at pH >9.5 and the iron oxide was flocculated between pH 6.0 and 8.2; i.e., flocculation occurred at pHs near the point of zero charge (PZC). The CCC of both the Na- and Ca-clay systems increased with increasing pH. The effect of pH was greater for the Na-kaolinite (flocculated at pH 5.8 and having a CCC of 55 meq/liter at pH 9.1) than the Na-montmorillonite system (having a CCC of 14 meq/liter at pH 6.4 and a CCC of 28 meq/liter at pH 9.4). A 50/50 mixture of Na-kaolinite and Na-montmorillonite behaved more like montmorillonite (having CCCs of 13 and 33 meq/liter at pH 6.2 and pH 9.0, respectively). The presence of either noncrystalline oxide decreased the CCC over that of the clay(s) alone; the decrease occurred at pHs >7 for AI oxide and at pHs >6.5 for Fe oxide. Aluminum oxide produced a greater decrease in CCC than Fe oxide, especially at pHs > 8. The effect of each oxide on CCC was greatest near the PZC, 9.5 and 7.2 for A1 and Fe oxide, respectively.},
File = {:Clays and Clay Minerals/Goldberg & Glaubig_Clay Clay Miner_1987.pdf:PDF},
Keywords = {Aggregation, Aluminum oxide, Critical coagulation concentration, Dispersion, Flocculation, Iron oxide, Kaolinite, Montmorillonite.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.clays.org/journal/archive/volume%2035/35-3-220.pdf}
}
@Article{GoldstoneEtAl2002,
Title = {Reactions of hydroxyl radical with humic substances: bleaching, mineralization, and production of bioavailable carbon substrates},
Author = {J. V. Goldstone and M. J. Pullin and S. Bertilsson and B. M. Voelker},
Journal = {Environmental Science and Technology},
Pages = {364-372},
Volume = {36},
Year = {2002},
Abstract = {In this study, we examine the role of the hydroxyl (OH ¥ ) radical as a mechanism for the photodecomposition of chromophoric dissolved organic matter (CDOM) in sunlit surface waters. Using ç-radiolysis of water, OH ¥ was generated in solutions of standard humic substances in quantities comparable to those produced on time scales of days in sunlit surface waters. The second-order rate coefficients of OH ¥ reaction with Suwannee River fulvic (SRFA; 2.7 10 4 s -1 (mg of C/L) -1 ) and humic acids (SRHA; 1.9 10 4 s -1 (mg of C/L) -1 ) are comparable to those observed for DOM in natural water samples and DOM isolates from other sources but decrease slightly with increasing OH ¥ doses. OH ¥ reactions with humic substances produced dissolved inorganic carbon (DIC) with a high efficiency of 0.3 mol of CO 2 /mol of OH ¥ . This efficiency stayed approximately constant from early phases of oxidation until complete mineralization of the DOM. Production rates of low molecular weight (LMW) acids including acetic, formic, malonic, and oxalic acids by reaction of SRFA and SRHA with OH ¥ were measured using HPLC. Ratios of production rates of these acids to rates of DIC production for SRHA and for SRFA were similar to those observed upon photolysis of natural water samples. Bioassays indicated that OH ¥ reactions with humic substances do not result in measurable formation of bioavailable carbon substrates other than the LMW acids. Bleaching of humic chromophores by OH ¥ was relatively slow. Our results indicate that OH ¥ reactions with humic substances are not likely to contribute significantly to observed rates of DOM photomineralization and LMW acid production in sunlit waters. They are also not likely to be a significant mechanism of photobleaching except in waters with very high OH ¥ photoformation rates.},
Doi = {10.1021/es0109646},
File = {:Environmental Science & Technology/Goldstone et al_Environ Sci Technol_2002.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{GomesEtAl1998,
Title = {Solos de três áreas de restinga. I. Morfologia, caracterização e classificação},
Author = {João Bosco Vasconcellos Gomes and Mauro Resende and Sérvulo Batista Rezende and Eduardo Sá Mendonça},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {xx-xx},
Volume = {33},
Year = {1998},
Abstract = {O objetivo deste trabalho foi caracterizar morfológica, física e quimicamente e classificar os solos de três áreas de restinga do litoral norte fluminense sob diferentes coberturas vegetais. O local Lagoa do Robalo (LGR) possui perfis de Podzol Hidromórfico com um horizonte espódico de acumulação de material húmico. No Canto do Santo Antônio (CSA) estão compreendidas areias pouco diferenciadas, classificadas como Areias Quartzosas Marinhas intermediárias para Podzol, assim adjetivadas para realçar o débil processo de acúmulo subsuperficial de material fino e de matéria orgânica. Em Campos Novos (CNO), os perfis de Podzóis com horizonte subsuperficial espódico de acumulação de material oxídico associado à matéria orgânica são bem diferenciados. Na LGR, os perfis de Podzóis Hidromórficos ocorrem como função da conjunção do material de origem inerte e poroso; da presença permanente de um lençol freático flutuante próximo à superfície; e da vegetação nativa arbustiva. No CSA, os perfis de Areias Quartzosas Marinhas intermediárias para Podzol, com exceção do horizonte superficial, poucas e tênues diferenças foram impostas pela troca da cobertura vegetal nativa pelo uso agrícola. Em CNO o perfil sob pasto está drasticamente despodzolizado. A exuberância do horizonte Bshx do perfil sob cobertura vegetal nativa é extremamente influenciada pelo eficiente dessecamento imposto pelo consumo de água da floresta local.},
Keywords = {Podzóis, Podzóis Hidromórficos, Areias Quartzosas Marinhas, podzolização},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://webnotes.sct.embrapa.br/pab/pab.nsf/4b9327fca7faccde032564ce004f7a6a/bdf46b83bc391386832566d400702d1a/$FILE/pab150_96.doc}
}
@Inbook{GomesEtAl2003,
Title = {Projeto, implantação e operação de aterros sustentáveis de resíduos sólidos urbanos para municípios de pequeno porte},
Author = {L.P. Gomes and F.B. Martins},
Booktitle = {Resíduos sólidos urbanos: aterro sustentável para municípios de pequeno porte},
Pages = {52-105},
Publisher = {Rio de Janeiro: ABES},
Year = {2003},
Chapter = {3},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Mastersthesis{Gomes2005,
Title = {Avaliação quali-quantitativa do percolado gerado no aterro controlado de Santa Maria - RS},
Author = {Tiago Luis Gomes},
Pages = {96},
School = {Federal University of Santa Maria},
Year = {2005},
Keywords = {Resíduos Urbanos, Aterro Controlado, Percolado, Balanço Hídrico, DBO e DQO},
Owner = {Alessandro Samuel Rosa},
Timestamp = {30.07.2009}
}
@Article{Gomides2002,
Title = {A definição do problema de pesquisa - a chave para o sucesso do projeto de pesquisa},
Author = {José Eduardo Gomides},
Journal = {Revista do Centro de Ensino Superior de Catalão},
Pages = {xx-xx},
Volume = {xx},
Year = {2002},
Number = {6},
Owner = {Administrador},
Timestamp = {2011.01.11},
Url = {http://wwwp.fc.unesp.br/~verinha/ADEFINICAODOPROBLEMA.pdf}
}
@Article{GoncEtAl2003,
Title = {The effect of 10% HF treatment on the resolution of CPMAS 13 C NMR spectra and on the quality of organic matter in Ferralsols},
Author = {Cristiano N. Gonçalves and Ricardo S.D. Dalmolin and Deborah P. Dick and Heike Knicker and Egon Klamt and Ingrid Kögel-Knabner},
Journal = {Geoderma},
Pages = {373-392},
Volume = {116},
Year = {2003},
Abstract = {The investigation of the chemical composition of soil organic matter (SOM) in Ferralsols by means of solid-state cross-polarization magic angle spinning (CPMAS) 13 C nuclear magnetic resonance (NMR) spectroscopy is limited by their high iron oxide concentration and their low organic carbon content. In order to circumvent those limitations, such samples are often treated with hydrofluoric acid (HF) to remove paramagnetic material and to concentrate the amount of SOM. The main objectives of this study were to elucidate the impact of this approach on the resolution of the CPMAS 13 C NMR spectra and on the chemical composition of the SOM in the A and B horizons of four Brazilian Ferralsols. Therefore, those soils were subjected to up to eight successive treatments with 10% (w/w) HF. Each of those extractions resulted in an enhancement of the C content of the samples. A relationship between mass loss caused by the treatment and texture and mineralogy was observed. However, high losses of carbon occurred during the HF treatments, particularly in the B horizons, but no consistent alterations in the distribution of carbon functional groups were determined by CPMAS 13 C NMR, suggesting that preferential loss of specific carbon groups was not induced. The concentration of total and dithionite extractable Fe increased after two treatments for most of the samples. This may be best explained by the preferential dissolution of silicate leading to a selective enrichment of iron containing minerals. After four treatments, the Fe concentration declined considerably. After the second treatment, the spectral resolution improved. Considering the obtained results, it can be confirmed that the efficiency of the HF treatment is rather controlled by the number than by the duration of the extraction. We suggest that, for A horizons of Ferralsols, four repetitions of HF treatment are sufficient to yield well-defined spectra. For their B horizons, on the other hand, the CPMAS 13 C NMR spectra obtained after four HF extractions were of poor quality, indicating that for these soils at least eight HF treatments have to be performed to acquire reasonable spectra.},
Doi = {10.1016/S0016-7061(03)00119-8},
File = {:Geoderma/Gonçalves et al_Geoderma_2003.pdf:PDF},
Keywords = {NMR; Brazilian soils; Soil organic matter enrichment; Removal of iron oxides; SOM?Fe interaction},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{GoncEtAl2004,
Title = {Base-metals and organic content in stream sediments in the vicinity of a landfill},
Author = {M.A. Gonçalves and J.M.F. Nogueira and J. Figueiras and C.V. Putnis and C. Almeida},
Journal = {Applied Geochemistry},
Pages = {137?151},
Volume = {19},
Year = {2004},
Doi = {10.1016/S0883-2927(03)00130-6},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{GongEtAl2003,
Title = {{Origin and development of soil science in ancient China}},
Author = {Zitong Gong and Xuelei Zhang and Jie Chen and Ganlin Zhang},
Journal = {Geoderma},
Pages = {3 - 13},
Volume = {115},
Year = {2003},
Note = {<ce:title>Anthropogenic soils and their use in China: Anthropogenic soils and soil quality change under intensive management in China</ce:title>},
Number = {1–2},
Abstract = {Based on many ancient records, archaeological discoveries, and current studies, knowledge of soils including their classification, distribution, and utilization was understood 2000 years ago in China. Thus, pedology may have originated in China. A brief history of Chinese thoughts about soils is described along with the development of their farming experiences since ancient times. Even today, people still get useful information from these old records and works.},
Doi = {10.1016/S0016-7061(03)00071-5},
File = {GongEtAl2003.pdf:GongEtAl2003.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Ancient Chinese soil science},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706103000715}
}
@Article{Gonzalez-VilaEtAl1995,
Title = {Evolution of chemicals within the dump profile in a controlled landfill},
Author = {F.J González-Vila and J.M. Bautista and J.C. Del Rio and F. Martin},
Journal = {Chemosphere},
Pages = {2817-2825},
Volume = {31},
Year = {1995},
File = {:Chemosphere/González-Vila et al_Chemosphere_1995.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/004565359500146Y}
}
@Article{GonzatoEtAl1998,
Title = {Practical application of fractal analysis: problems and solutions},
Author = {Guido Gonzato and Francesco Mulargia and Warner Marzocchi},
Journal = {Geophysical Journal International},
Pages = {275-282},
Volume = {132},
Year = {1998},
Abstract = {Fractal analysis is now common in many disciplines, but its actual application is often affected by methodological errors which can bias the results. These problems are commonly associated with the evaluation of the fractal dimension D and the range of scale invariance R. We show that by applying the most common algorithms for fractal analysis (Walker's Ruler and box counting), it is always possible to obtain a fractal dimension, but this value might be physically meaningless. The chief problem is the number of data points, which is bound to be insufficient when the algorithms are implemented by hand. Further, erroneous application of regression analysis can also lead to incorrect results. To remedy the former point, we have implemented a convenient numerical program for box counting. After discussing the rationale of linear regression and its application to fractal analysis, we present a methodology that can be followed to obtain meaningful results.},
File = {GonzatoEtAl1998.pdf:Geophysical Journal International/GonzatoEtAl1998.pdf:PDF},
Keywords = {fractals, box-counting; redemds},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.24}
}
@Article{Goovaerts2001,
Title = {Geostatistical modelling of uncertainty in soil science},
Author = {P. Goovaerts},
Journal = {Geoderma},
Pages = {3 - 26},
Volume = {103},
Year = {2001},
Note = {<ce:title>Estimating uncertainty in soil models</ce:title>},
Number = {1?2},
__markedentry = {[alessandro:1]},
Abstract = {This paper addresses the issue of modelling the uncertainty about the value of continuous soil attributes, at any particular unsampled location (local uncertainty) as well as jointly over several locations (multiple-point or spatial uncertainty). Two approaches are presented: kriging-based and simulation-based techniques that can be implemented within a parametric (e.g. multi-Gaussian) or non-parametric (indicator) frameworks. As expected in theory and illustrated by case studies, the two approaches yield similar models of local uncertainty, yet the simulation-based approach has several advantages over kriging: (1) it provides a model of spatial uncertainty, e.g. the probability that a given threshold is exceeded jointly at several locations can be readily computed, (2) conditional cumulative distribution function (ccdf) for supports larger than the measurement support (e.g. remediation units or flow simulator cells) can be numerically approximated by the cumulative distribution of block simulated values that are obtained by averaging values simulated within the block, and (3) the set of realizations allows one to study the propagation of uncertainty through global GIS operations or complex transfer functions, such as flow simulators that consider many locations simultaneously rather than one at a time. The other issue is the evaluation of the quality or ?goodness? of uncertainty models. Two new criteria (exceedence probability plot and narrowness of probability intervals that include the true values) are presented to assess the accuracy and precision of local uncertainty models using cross-validation. According to the second criterion, multi-Gaussian kriging performs better than indicator kriging for the hydraulic conductivity (HC) data set. However, looking at the distribution of flow simulator responses, sequential indicator simulation (sis) yields better results than sequential Gaussian simulation (sGs) that does not allow for significant correlation of extreme values (destructuration effect).},
Doi = {10.1016/S0016-7061(01)00067-2},
File = {Goovaerts2001.pdf:Goovaerts2001.pdf:PDF},
Keywords = {Geostatistics; redemds; cross-validation}
}
@Article{Goovaerts2000,
Title = {Estimation or simulation of soil properties? An optimization problem with conflicting criteria},
Author = {P. Goovaerts},
Journal = {Geoderma},
Pages = {165-186},
Volume = {97},
Year = {2000},
Abstract = {Both estimation and simulation approaches are formulated as the selection of a set of attribute values that are optimal for criteria that are typically conflicting. Estimation amounts to minimize local criteria such as a local error variance, whereas stochastic simulation aims to reproduce global statistics such as the histogram or semivariogram. A simulated annealing SA. algorithm is presented to generate maps of optimal values: an initial random image is gradually perturbed so as to minimize a weighted combination of three components that measure deviations from local or global features of interest. The approach is illustrated using an environmental data set related to soil contamination by zinc. A validation set shows that, depending on the relative weight given to local and global constraints, the final maps have properties ranging from estimation to simulation in terms of mean square errorMSE.of prediction and extent of the space of uncertainty. Combination of both types of constraints leads to better performances smaller proportions of misclassified locations, smaller prediction errors for the average proportion of contaminated locations within remediation units. than a smooth estimated map or a simulated map that reproduces only the histogram and semivariogram.},
File = {:Geoderma/Goovaerts_Geoderma_2000.pdf:PDF},
Keywords = {geostatistics; indicator kriging; simulated annealing; prediction error; heavy metals; soil mapping; redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706100000379}
}
@Article{Goovaerts1999,
Title = {Geostatistics in soil science: state-of-the-art and perspectives},
Author = {P. Goovaerts},
Journal = {Geoderma},
Pages = {1 - 45},
Volume = {89},
Year = {1999},
Number = {1-2},
Abstract = {This paper presents an overview of the most recent developments in the field of geostatistics and describes their application to soil science. Geostatistics provides descriptive tools such as semivariograms to characterize the spatial pattern of continuous and categorical soil attributes. Various interpolation (kriging) techniques capitalize on the spatial correlation between observations to predict attribute values at unsampled locations using information related to one or several attributes. An important contribution of geostatistics is the assessment of the uncertainty about unsampled values, which usually takes the form of a map of the probability of exceeding critical values, such as regulatory thresholds in soil pollution or criteria for soil quality. This uncertainty assessment can be combined with expert knowledge for decision making such as delineation of contaminated areas where remedial measures should be taken or areas of good soil quality where specific management plans can be developed. Last, stochastic simulation allows one to generate several models (images) of the spatial distribution of soil attribute values, all of which are consistent with the information available. A given scenario (remediation process, land use policy) can be applied to the set of realizations, allowing the uncertainty of the response (remediation efficiency, soil productivity) to be assessed.},
Doi = {10.1016/S0016-7061(98)00078-0},
File = {Goovaerts1999.pdf:Goovaerts1999.pdf:PDF},
ISSN = {0016-7061},
Keywords = {geostatistics, redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706198000780}
}
@Manual{Goslee2012,
Title = {Package landsat - radiometric and topographic correction of satellite imagery},
Author = {Sarah Goslee},
Pages = {30},
Year = {2012},
Abstract = {Processing of Landsat or other multispectral satellite imagery. Includes relative normalization, image-based radiometric correction, and topographic correction options.},
File = {Goslee2012.pdf:Goslee2012.pdf:PDF},
Keywords = {ndvi; dip;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21},
Url = {http://cran.r-project.org/web/packages/landsat/index.html}
}
@Article{Goslee2011,
Title = {Analyzing remote sensing data in {R}: the landsat package},
Author = {Sarah C. Goslee},
Journal = {Journal of Statistical Software},
Pages = {1-25},
Volume = {43},
Year = {2011},
Number = {4},
File = {Goslee2011.pdf:Goslee2011.pdf:PDF},
Keywords = {dip;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21},
Url = {http://www.jstatsoft.org/}
}
@Inbook{GoulartEtAl2003,
Title = {Transporte de contaminantes},
Author = {Hosmanny Mauro Goulart and Gustavo Ferreira Simões and Liséte Celina Lange and Cynthia Fantoni Alves},
Booktitle = {Resíduos sólidos urbanos: aterro sustentável para municípios de pequeno porte},
Pages = {223-254},
Publisher = {Rio de Janeiro: ABES},
Year = {2003},
Chapter = {Apêndice 2},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Book{Govindarajuju2007,
Title = {Nonparametric inference},
Author = {Z Govindarajuju},
Pages = {669},
Publisher = {New Jersey, USA: World Scientific},
Year = {2007},
Edition = {1},
File = {Govindarajuju2007.pdf:Book/Govindarajuju2007.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{Gower1971,
Title = {A general coefficient of similarity and some of its properties},
Author = {J. C. Gower},
Journal = {Biometrics},
Pages = {857-871},
Volume = {27},
Year = {1971},
File = {Gower1971.pdf:Biometrics/Gower1971.pdf:PDF},
Keywords = {taxonomic distance},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.08}
}
@Article{Gower1966,
Title = {Some distance properties of latent root and vector methods used in multivariate analysis},
Author = {Gower, J. C.},
Journal = {Biometrika},
Pages = {325-328},
Volume = {53},
Year = {1966},
Abstract = {This paper is concerned with the representation of a multivariate sample of size n as points P1, P2, ?, Pn in a Euclidean space. The interpretation of the distance ?(Pi, Pj) between the ith and jth members of the sample is discussed for some commonly used types of analysis, including both Q and R techniques. When all the distances between n points are known a method is derived which finds their co-ordinates referred to principal axes. A set of necessary and sufficient conditions for a solution to exist in real Euclidean sapce is found. Q and R techniques are defined as being dual to one another when they both lead to a set of n points with the same inter-point distances. Pairs of dual techniques are derived. In factor analysis the distances between points whose co-ordinrates are the estimated factor scores can be interpreted as D2 with a singular dispersion matrix.},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.05},
Url = {http://www.jstor.org/discover/10.2307/2333639?uid=3737664&uid=2129&uid=2&uid=70&uid=4&sid=21100704087301}
}
@Article{GowerEtAl1969,
Title = {Minimum spanning trees and single linkage cluster analysis},
Author = {J. C. Gower and G. J. S. Ross},
Journal = {Journal of the Royal Statistical Society. Series C (Applied Statistics)},
Pages = {54-64},
Volume = {18},
Year = {1969},
Abstract = {Minimum spanning trees (MST) and single linkage cluster analysis (SLCA) are explained and it is shown that all the information required for the SLCA of a set of points is contained in their MST. Known algorithms for finding the MST are discussed. They are efficient even when there are very many points; this makes a SLCA practicable when other methods of cluster analysis are not. The relevant computing procedures are published in the Algorithm section of the same issue of Applied Statistics. The use of the MST in the interpretation of vector diagrams arising in multivariate analysis is illustrated by an example.},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.05},
Url = {http://www.jstor.org/discover/10.2307/2346439?uid=3737664&uid=2129&uid=2&uid=70&uid=4&sid=21100704136961}
}
@Article{Groemping2009,
Title = {Variable importance assessment in regression: linear regression versus random forest},
Author = {Gr\"omping, Ulrike},
Journal = {The American Statistician},
Pages = {308-319},
Volume = {63},
Year = {2009},
Month = {Nov},
Number = {4},
Doi = {10.1198/tast.2009.08199},
File = {Groemping2009.pdf:Groemping2009.pdf:PDF},
ISSN = {1537-2731},
Owner = {alessandro},
Publisher = {Informa UK Limited}
}
@Article{Groemping2007,
Title = {Estimators of relative importance in linear regression based on variance decomposition},
Author = {Gr\"omping, Ulrike},
Journal = {The American Statistician},
Pages = {139-147},
Volume = {61},
Year = {2007},
Month = {May},
Number = {2},
Doi = {10.1198/000313007x188252},
File = {Groemping2007.pdf:Groemping2007.pdf:PDF},
ISSN = {1537-2731},
Owner = {alessandro},
Publisher = {Informa UK Limited}
}
@Article{Groemping2006,
Title = {Relative importance for linear regression in {R}: the package relaimpo},
Author = {Ulrike Gr\"omping},
Journal = {Journal of Statistical Software},
Pages = {1-27},
Volume = {17},
Year = {2006},
Month = {9},
Number = {1},
Accepted = {2006-09-01},
File = {Groemping2006.pdf:Groemping2006.pdf:PDF},
Url = {http://www.jstatsoft.org/v17/i01}
}
@Misc{Grabs2010,
Title = {Quick tutorial for using the SIDE Algorithm in SAGA GIS},
Author = {Thomas Grabs},
Year = {2010},
File = {Grabs2010.pdf:Grabs2010.pdf:PDF},
Keywords = {saga gis; Accumulated material from_left_side; Accumulated material from_right_side;},
Owner = {Alessandro Samuel Rosa},
Pages = {2},
Timestamp = {2012.11.25},
Url = {http://thomasgrabs.com/side-algorithm/}
}
@Article{Gramatica2007,
Title = {Principles of QSAR models validation: internal and external},
Author = {Paola Gramatica},
Journal = {QSAR and Combinatorial Science},
Pages = {694-701},
Volume = {26},
Year = {2007},
Abstract = {The recent REACH Policy of the European Union has led to scientists and regulators to focus their attention on establishing general validation principles for QSAR models in the context of chemical regulation (previously known as the Setubal, nowadays, the OECD principles). This paper gives a brief analysis of some principles: unambiguous algorithm, Applicability Domain (AD), and statistical validation. Some concerns related to QSAR algorithm reproducibility and an example of a fast check of the applicability domain for MLR models are presented. Common myths and misconceptions related to popular tech- niques for verifying internal predictivity, particularly for MLR models (for instance cross- validation, bootstrap), are commented on and compared with commonly used statistical techniques for external validation. The differences in the two validating approaches are highlighted, and evidence is presented that only models that have been validated externally, after their internal validation, can be considered reliable and applicable for both external prediction and regulatory purposes.},
Doi = {10.1002/qsar.200610151},
File = {Gramatica2007.pdf:QSAR and Combinatorial Science/Gramatica2007.pdf:PDF},
Keywords = {External validation, Internal validation, OECD principles, Predictivity, Quantitative structure ? activity relationships (QSAR), cross-validation, redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.20}
}
@Manual{GRASS2012,
Title = {{G}eographic {R}esources {A}nalysis {S}upport {S}ystem ({GRASS}) {S}oftware},
Author = {{GRASS Development Team}},
Year = {2012},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.21},
Url = {http://grass.osgeo.org}
}
@Article{Gray1980,
Title = {Popper and the 7th approximation: the problem of taxonomy},
Author = {Gray, Bennison},
Journal = {Dialectica},
Pages = {129-154},
Volume = {34},
Year = {1980},
Number = {2},
Abstract = {The conspicuous role of taxonomy and debates about taxonomy in the well-established physical science of pedology throws into question the Popperian rejection of definition and classification.},
Doi = {10.1111/j.1746-8361.1980.tb00769.x},
ISSN = {1746-8361},
Publisher = {Blackwell Publishing Ltd},
Url = {http://dx.doi.org/10.1111/j.1746-8361.1980.tb00769.x}
}
@Article{GrayEtAl2003,
Title = {Reconciling indigenous knowledge with scientific assessment of soil fertility changes in southwestern Burkina Faso},
Author = {Leslie C. Gray and Philippe Morant},
Journal = {Geoderma},
Pages = {425?437},
Volume = {111},
Year = {2003},
Abstract = {Soil fertility decline has become a major concern of policy makers worldwide. While many researchers assume that the problem is universal, others question the assumptions, evidence, methodologies and scale upon which beliefs of soil decline are based. Reconciling competing visions of African soils requires a close examination of both farmer perceptions and scientific estimations of change at the local level. This paper discusses local soil knowledge in one small village in southwestern Burkina Faso and relates scientific measures of soil fertility to farmers? perceptions of soil types and changing soil fertility. Farmers? perceptions of soil types and characteristics match up very well with scientific investigations. It is with perceptions of soil degradation that differences occur. While farmers perceive that their soil is degraded, soil analyses show very little change. The goal here is not to argue that one type of knowledge is inherently wrong but to reconcile the two and see how and why differences emerge. Particularly important is a discussion of how contradictions emerge out of the social contexts in which perceptions at the local scale and beyond are embedded.},
File = {:Geoderma/Gray & Morant_Geoderma_2003.pdf:PDF},
Keywords = {Soil fertility; Indigenous knowledge; Africa; Burkina Faso; Environment},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002756}
}
@Article{Green1977,
Title = {Parameter sensitivity in multivariate methods},
Author = {Bert F Green},
Journal = {The Journal of Multivariate Behavioral Research},
Pages = {263-287},
Volume = {12},
Year = {1977},
Abstract = {Multivariate analyses are descriptive models of data. Interpreting the parameters of such models requires knowing how much the fit of the model to the data is impaired by changes in the parameters. The relation of parameter change to loss of goodness of fit can be called parameter sensitivity. Formulas are presented for assessing the sensitivity of multiple regression weights and principal component weights.},
File = {Green1977.pdf:Green1977.pdf:PDF},
Keywords = {regression; principal component analysis;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@InCollection{GreveEtAl2006,
Title = {Using Soil Covariates to Evaluate and Represent the Fuzziness of Soil Map Boundaries},
Author = {M.H. Greve and M.B. Greve},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {543 - 553, 632},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {As an alternative to the crisp representation of map units in classical detailed soil mapping, this chapter presents the development of a decision-support system for fuzzification of soil maps. High-resolution auxiliary data such as the soil electrical conductivity (SEC), detailed digital elevation models (DEM), and aerial photographs (APs) and their derivatives carry information on different soil parameters. SEC has very high correlation with soil texture, DEM contain valuable information on soil moisture regime and landscape genesis, and AP carry information on topsoil total organic carbon, TOC. We have developed a system that assists in identifying which auxiliary dataset should be used to determine each map unit boundary width, and thereafter express the boundary as a transition zone between two or more soil types. The method is developed using data from a soil survey on the island of Funen in Denmark and the concept is illustrated in a small strip in this area. A soil database with information on modal soils expresses the degree of drainage, texture and topsoil TOC in each of the mapping units, and we can thereby determine which parameters the bounding map units differ on, and in that way also which dataset should be used for calculating the boundary width.},
Doi = {DOI: 10.1016/S0166-2481(06)31040-9},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1W/2/e4919654676eed57e08caff53d908e64}
}
@InCollection{GreveEtAl2010,
Title = {Comparing Decision Tree Modeling and Indicator Kriging for Mapping the Extent of Organic Soils in Denmark},
Author = {Greve, M.H. and Greve, M.B. and Kheir, R.Bou and Bøcher, P.K. and Larsen, R. and McCloy, K.},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {267-280},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_22},
File = {GreveEtAl2010.pdf:GreveEtAl2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {Organic soils; Decision tree model; Indicator kriging; Legacy data; Digital soil mapping},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_22}
}
@Mastersthesis{Griebeler2012,
Title = {Controle de qualidade de análises de solos da rede {ROLAS-RS/SC} e procedimentos estatísticos alternativos},
Address = {Santa Maria},
Author = {Griebeler, Gustavo},
Pages = {63},
School = {Universidade Federal de Santa Maria},
Year = {2012},
File = {Griebeler2012.pdf:Griebeler2012.pdf:PDF},
Url = {http://w3.ufsm.br/ppgcs/disserta%E7%F5es%20e%20teses/Disserta%E7%E3o%20-%20Gustavo%20Griebeler.pdf}
}
@InCollection{Griffith2009,
Title = {Spatial Autocorrelation},
Author = {D.A. Griffith},
Booktitle = {International Encyclopedia of Human Geography},
Publisher = {Elsevier},
Year = {2009},
Address = {Oxford},
Editor = {Editors-in-Chief: Rob Kitchin and Nigel Thrift},
Pages = {308 - 316},
Abstract = {Spatial autocorrelation is the correlation among values of a single variable across a two-dimensional surface that are locationally referenced or tied together by an underlying spatial structure, introducing a violation of the independent observations assumption of classical statistics. Its many interpretations include a nuisance parameter, self-correlation, map pattern, a diagnostic tool, a missing variable surrogate, redundant information, a spatial process mechanism, a spatial spillover, and the outcome of areal unit demarcation. It can be quantified with various indices, including the Geary ratio and the Moran coefficient, the statistically most powerful of the two measures. These two indices are negatively related. Spatial autocorrelation can be portrayed with a Moran scatterplot. Most socioeconomic/demographic variables are measured at a geographic resolution that results in moderate, positive spatial autocorrelation. Satellite remotely sensed images tend to have strong to marked positive spatial autocorrelation. To date, few empirical examples of negative spatial autocorrelation have been reported, although it relates to situations of spatial competition. At the frontiers of spatial autocorrelation, work is dealing with it in massively large georeferenced datasets.},
Doi = {10.1016/B978-008044910-4.00522-8},
ISBN = {978-0-08-044910-4},
Keywords = {Estimator properties},
Url = {http://www.sciencedirect.com/science/article/pii/B9780080449104005228}
}
@Article{Griffith2006,
Title = {Hidden negative spatial autocorrelation},
Author = {Griffith, DanielA.},
Journal = {Journal of Geographical Systems},
Pages = {335-355},
Volume = {8},
Year = {2006},
Doi = {10.1007/s10109-006-0034-9},
File = {Griffith2006.pdf:Griffith2006.pdf:PDF},
ISSN = {1435-5930},
Issue = {4},
Keywords = {Eigenvector; Hidden negative spatial autocorrelation; Negative spatial autocorrelation; Spatial autoregressive model; Spatial filter model; C21; R23},
Language = {English},
Publisher = {Springer-Verlag},
Url = {http://dx.doi.org/10.1007/s10109-006-0034-9}
}
@Article{GriffithEtAl2010,
Title = {Detecting negative spatial autocorrelation in georeferenced random variables},
Author = {Griffith, Daniel A. and Arbia, Giuseppe},
Journal = {International Journal of Geographical Information Science},
Pages = {417-437},
Volume = {24},
Year = {2010},
Number = {3},
Abstract = { Negative spatial autocorrelation refers to a geographic distribution of values, or a map pattern, in which the neighbors of locations with large values have small values, the neighbors of locations with intermediate values have intermediate values, and the neighbors of locations with small values have large values. Little is known about negative spatial autocorrelation and its consequences in statistical inference in general, and regression-based inference in particular, with spatial researchers to date concentrating mostly on understanding the much more frequently encountered case of positive spatial autocorrelation. What are the spatial contexts within which negative spatial autocorrelation should be readily found? What are its inferential consequences for regression models? This paper presents selected empirical examples of negative spatial autocorrelation, adding to the slowly growing literature about this phenomenon. },
Doi = {10.1080/13658810902832591},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/13658810902832591},
File = {GriffithEtAl2010.pdf:GriffithEtAl2010.pdf:PDF},
Url = {http://www.tandfonline.com/doi/abs/10.1080/13658810902832591}
}
@Article{GrinandEtAl2008,
Title = {Extrapolating regional soil landscapes from an existing soil map: sampling intensity, validation procedures, and integration of spatial context},
Author = {Clovis Grinand and Dominique Arrouays and Bertrand Laroche and Manuel Pascal Martin},
Journal = {Geoderma },
Pages = {180 - 190},
Volume = {143},
Year = {2008},
Number = {1–2},
Doi = {http://dx.doi.org/10.1016/j.geoderma.2007.11.004},
File = {GrinandEtAl2008.pdf:GrinandEtAl2008.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Digital soil mapping; dem; resolution; multi-scale;},
Owner = {alessandro},
Timestamp = {24.02.2014},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706107003199}
}
@Inproceedings{GrodzevichEtAl2006,
Title = {Normalization and other topics in multi-objective optimization},
Author = {Grodzevich, Oleg and Romanko, Oleksandr},
Booktitle = {Proceedings of the Fields–MITACS Industrial Problems Workshop},
Pages = {89-101},
Year = {2006},
File = {GrodzevichEtAl2006.pdf:GrodzevichEtAl2006.pdf:PDF},
Keywords = {Optimization; Normalization; Objective Function;},
Url = {http://www.maths-in-industry.org/miis/233/1/fmipw1-6.pdf}
}
@Article{vanGroenigen2000,
Title = {The influence of variogram parameters on optimal sampling schemes for mapping by kriging},
Author = {van Groenigen, J.W.},
Journal = {Geoderma},
Pages = {223-236},
Volume = {97},
Year = {2000},
Abstract = {Using spatial simulated annealing SSA , spatial sampling schemes can be optimised for minimal kriging variance. Two optimisation criteria are presented in this paper. The first criterion minimises the average kriging variance, the second the maximum kriging variance. In a simple case with 23 observations, performances of a sampling scheme obtained with SSA were compared with performances of a triangular grid. SSA reduced the average kriging variance from 40.64 to 39.99 [unit]. The maximum kriging variance was reduced from 86.83 to 53.36 [unit]. Starting with a preliminary, irregularly data set of 100 observations, an additional sampling scheme of 10 observations was optimised. This reduced the average kriging variance from 21.62 to 15.83 [unit]. The maximum kriging variance was reduced from 70.22 to 34.60 unit . As the kriging variance is considerably influenced by variogram parameters, their influence on the optimised sampling schemes was investigated. A Gaussian variogram produced a different sampling scheme than an exponential variogram with the same nugget, sill and effective range. Exponential, spherical and linear variograms without nugget resulted in irregular similar sampling schemes. A very short range resulted in irregular sampling schemes, with observations separated by distances larger than twice the range. For a spherical variogram, the magnitude of the relative nugget effect did not affect the sampling schemes, except for very high values (0.75) .},
Doi = {10.1016/S0016-7061(00)00040-9},
File = {:Geoderma/van Groenigen_Geoderma_2000.pdf:PDF},
Keywords = {Geostatistics; Sampling; Variogram; Ordinary kriging; Prediction error; Optimization; Design; Pedometrics; DSM;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{vanGroenigenEtAl1999,
Title = {Constrained optimisation of soil sampling for minimisation of the kriging variance},
Author = {van Groenigen, J.W. and W. Siderius and A. Stein},
Journal = {Geoderma},
Pages = {239-259},
Volume = {87},
Year = {1999},
Doi = {10.1016/S0016-7061(98)00056-1},
File = {GroenigenEtAl1999.pdf:GroenigenEtAl1999.pdf:PDF},
Keywords = {soil sampling; spatial variability; sampling strategy; kriging; interpolation; redemds; optimization; design; Pedometrics; DSM; WarrickEtAl1987;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{vanGroenigenEtAl1997,
Title = {Optimization of environmental sampling using interactive GIS},
Author = {van Groenigen, J.W. and A. Stein and R. Zuurbier},
Journal = {Soil Technology},
Pages = {83-97},
Volume = {10},
Year = {1997},
Doi = {10.1016/S0933-3630(96)00122-5},
File = {GroenigenEtAl1997.pdf:Soil Technology/GroenigenEtAl1997.pdf:PDF},
Keywords = {Geostatistics; Spatial sampling; Conditional simulation; Interactivity; GIS; Lead pollution; redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{GroenigenEtAl2000,
Title = {Optimizing spatial sampling for multivariate contamination in urban areas},
Author = {van Groenigen, J. W. and Pieters, G. and Stein, A.},
Journal = {Environmetrics},
Pages = {227--244},
Volume = {11},
Year = {2000},
Number = {2},
File = {GroenigenEtAl2000.pdf:GroenigenEtAl2000.pdf:PDF},
ISSN = {1099-095X},
Keywords = {simulated annealing, environmental sampling, indicator kriging, continuous populations},
Owner = {alessandro},
Publisher = {John Wiley \& Sons, Ltd.},
Timestamp = {25.06.2013},
Url = {http://onlinelibrary.wiley.com/doi/10.1002/%28SICI%291099-095X%28200003/04%2911:2%3C227::AID-ENV404%3E3.0.CO;2-%23/pdf}
}
@Article{GroenigenEtAl1998,
Title = {Constrained optimization of spatial sampling using continuous simulated annealing},
Author = {van Groenigen, J. W. and Stein, A.},
Journal = {Journal of Environmental Quality},
Pages = {1078-1086},
Volume = {27},
Year = {1998},
Number = {5},
Abstract = {Spatial sampling is an important issue in environmental studies because the sample configuration influences both costs and effectiveness of a survey. Practical sampling constraints and available preinformation can help to optimize the sampling scheme. In this paper, spatial simulated annealing (SSA) is presented as a method to optimize spatial environmental sampling schemes. Sampling schemes are optimized at the point-level, taking into account sampling constraints and preliminary observations. Two optimization criteria have been used. The first optimizes even spreading of the points over a region, whereas the second optimizes variogram estimation using a proposed criterion from the literature. For several examples it is shown that SSA is superior to conventional methods of designing sampling schemes. Improvements up to 30% occur for the first criterion, and an almost complete solution is found for the second criterion. Spatial simulated annealing is especially useful in studies with many sampling constraints. It is flexible in implementing additional, quantitative criteria.},
Doi = {10.2134/jeq1998.00472425002700050013x},
File = {GroenigenEtAl1998.pdf:GroenigenEtAl1998.pdf:PDF},
Keywords = {Spatial; Sampling; Optimization; Design; Pedometrics; DSM;},
Owner = {alessandro},
Timestamp = {28.06.2013}
}
@Phdthesis{Groenigen1999a,
Title = {Constrained optimisation of spatial sampling: a geostatistical approach},
Author = {van Groenigen, Jan-Willem},
Pages = {148},
School = {Wageningen University},
Year = {1999},
Address = {Wageningen},
Comment = {PhD thesis Wageningen University dissertation no. 2589},
File = {Groenigen1999a.pdf:Groenigen1999a.pdf:PDF},
ISSN = {906164156X},
Keywords = {kriging, statistical analysis, sampling, soil, geostatistics; spatial simulated annealing; spsann;},
Owner = {alessandro},
Refid = {964643},
Timestamp = {20.08.2014},
Url = {http://edepot.wur.nl/192440}
}
@Article{Grohmann2006,
Title = {Resampling SRTM 03”-data with kriging},
Author = {Carlos Henrique Grohmann},
Journal = {OSGeo-News},
Pages = {20-25},
Volume = {4},
Year = {2006},
Number = {12},
File = {Grohmann2006.pdf:Grohmann2006.pdf:PDF},
ISSN = {1614-8746},
Keywords = {DEM Interpolation; Resampling;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Article{Gronow1951,
Title = {Test for the significance of the difference between means in two normal populations having unequal variances},
Author = {Gronow, D. G. C.},
Journal = {Biometrika},
Pages = {252-256},
Volume = {38},
Year = {1951},
Number = {1/2},
Copyright = {Copyright © 1951 Biometrika Trust},
File = {Gronow1951.pdf:Biometrika/Gronow1951.pdf:PDF},
ISSN = {00063444},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Jun., 1951},
Language = {English},
Publisher = {Biometrika Trust},
Url = {http://www.jstor.org/stable/2332331}
}
@Article{GrosEtAl2003,
Title = {Plant and soil microbial community responses to solid waste leachates diffusion on grassland},
Author = {Raphaël Gros and Franck Poly and Lucile Jocteur Monrozier and Pierre Faivre},
Journal = {Plant and Soil},
Pages = {445?455},
Volume = {255},
Year = {2003},
Keywords = {grassland, microbial communities, MSWI-ashes, phytotoxicity, soil functioning, soil quality},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://www.springerlink.com/index/N046L77673U45775.pdf}
}
@Article{Grossman2003,
Title = {Exploring farmer knowledge of soil processes in organic coffee systems of Chiapas, Mexico},
Author = {J.M. Grossman},
Journal = {Geoderma},
Pages = {267?287},
Volume = {111},
Year = {2003},
Abstract = {More than any other Mexican state, Chiapas dedicates the most hectares to certified organic coffee production, providing a means of survival for indigenous Mayan peasants. Organic coffee producers are restricted from using agrochemicals such as synthetic nitrogen fertilizers, thus depend upon soil management techniques to provide nutrients to their coffee crop. This study assesses farmer understanding of soil fertility enhancement processes that organic coffee producers use as a basis for decision-making and experimentation. Such processes include knowledge of leaf litter decomposition, composting, soil biology, and biological nitrogen fixation (BNF). Research for this study was executed in March through August 1999. Information was collected through 31 semistructured interviews conducted in three coffee-producing communities, Majosik, Tenejapa; Poconichim, Chenalho? ; and Tziscao, Trinitaria. Transcribed texts were coded and analyzed for content to uncover patterns in the farmer?s responses. Farmers? hybridized knowledge system included visible phenomena and information retained from organic training workshops. Farmers had an excellent understanding of the transformation from leaf material to soil and a good understanding of mineralization; however, the role of moisture influence, nutrient uptake, and soil organisms was not well understood. Nearly half of farmers thought that compost addition improved coffee plant growth. The significance of soil biology in decomposition was restricted to organisms farmers could see, especially earthworms. Soil microorganisms were rarely mentioned, and a lack of understanding of their role in soil processes was evident. Although more than half of interviewed farmers had seen root-nodules, farmer knowledge of legumes and the process of biological nitrogen fixation were limited. Results indicate that despite training attempts, farmers still possess knowledge gaps regarding phenomena that they cannot see, and future training should address unobservable ecosystem processes.},
File = {:Geoderma/Grossman_Geoderma_2003.pdf:PDF},
Keywords = {Farmer knowledge; Mexico; Shaded coffee; Organic coffee; Nutrient cycling; Soil biology; Nitrogen fixation},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002689}
}
@InCollection{GruberEtAl2009,
Title = {Modelling Mass Movements and Landslide Susceptibility},
Author = {S. Gruber and C. Huggel and R. Pike},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {23},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {527 - 550},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00023-8},
File = {GruberEtAl2009.pdf:GruberEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {spatial modelling of potential slope instability by geomorphometry},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-13/2/d30ced93584877769d037918620d6632}
}
@InCollection{GruberEtAl2009a,
Title = {Land-surface parameters and objects in hydrology},
Author = {S. Gruber and S. Peckham},
Booktitle = {Geomorphometry - concepts, software, applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {7},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {171 - 194},
Series = {Developments in Soil Science},
Volume = {33},
Abstract = {phenomena related to the flow of water or other materials that can be parameterised using a DEM · basic principles and approaches to modelling of flow · differences between the diverse flow-modelling techniques available · advantages, disadvantages and limitations of the different approaches · why is parameterisation of surface flow a powerful technique?},
Doi = {DOI: 10.1016/S0166-2481(08)00007-X},
File = {GruberEtAl2009a.pdf:GruberEtAl2009a.pdf:PDF},
ISSN = {0166-2481},
Keywords = {saga; flow width; specific catchment area; Stream Power Index; ruggedness;},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-H/2/7203eee72db9255a4802e894e353ec2a}
}
@Article{deGruijterEtAl1990,
Title = {Model-free estimation from spatial samples: a reappraisal of classical sampling theory},
Author = {de Gruijter, Jaap J and ter Braak, C J F},
Journal = {Mathematical Geology},
Pages = {407-415},
Volume = {22},
Year = {1990},
Abstract = {A commonly held view among geostatisticians is that classical sampling theory is inapplicable to spatial sampling because spatial data are dependent, whereas classical sampling theory requires them to be independent. By comparing the assumptions and use of classical sampling theory with those of geostatistical theory, we conclude that this view is both false and unfortunate. In particular, estimates of spatial means based on classical sampling designs require fewer assumptions for their validity, and are therefore more robust, than those based on a geostatistical model.},
Doi = {10.1007/BF00890327},
File = {GruijterEtAl1990.pdf:GruijterEtAl1990.pdf:PDF},
Keywords = {redemds}
}
@Book{deGruijterEtAl2006,
Title = {Sampling for natural resource monitoring},
Address = {Berlin},
Author = {de Gruijter, Jaap J and Dick Brus and Marc Bierkens and Martin Knotters},
Pages = {332},
Publisher = {Springer},
Year = {2006},
File = {deGruijterEtAl2006.pdf:Book/deGruijterEtAl2006.pdf:PDF},
Keywords = {redemds; Cluster Random Sampling; optimization; sampling strategy; Design; Pedometrics; DSM; Nested;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.09},
Url = {http://www.springer.com/environment/environmental+toxicology/book/978-3-540-22486-0}
}
@Article{GruijterEtAl2015,
Title = {Optimizing stratification and allocation for design-based estimation of spatial means using predictions with error},
Author = {de Gruijter, J. J. and Minasny, B. and Mcbratney, A. B.},
Journal = {Journal of Survey Statistics and Methodology},
Pages = {19-42},
Volume = {3},
Year = {2015},
Month = {Mar},
Number = {1},
__markedentry = {[alessandro:5]},
Doi = {10.1093/jssam/smu024},
File = {GruijterEtAl2015.pdf:GruijterEtAl2015.pdf:PDF},
ISSN = {2325-0992},
Owner = {alessandro},
Publisher = {Oxford University Press (OUP)},
Timestamp = {09.04.2015}
}
@InCollection{Grunwald2010,
Title = {Current State of Digital Soil Mapping and What Is Next},
Author = {Grunwald, S.},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {3-12},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_1},
File = {Grunwald2010.pdf:Grunwald2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {Environmental covariates; Soil sensors; Soil inference systems; Legacy soil data; Environmental assessment},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_1}
}
@Article{Grunwald2009,
Title = {Multi-criteria characterization of recent digital soil mapping and modeling approaches},
Author = {Sabine Grunwald},
Journal = {Geoderma},
Pages = {195-207},
Volume = {152},
Year = {2009},
Number = {3-4},
Doi = {10.1016/j.geoderma.2009.06.003},
File = {Grunwald2009.pdf:Grunwald2009.pdf:PDF},
Keywords = {Digital soil mapping; redemds; PhDpaper1}
}
@Book{Grunwald2006a,
Title = {Environmental soil-landscape modeling - geographic information technologies and pedometrics},
Address = {Boca Raton},
Author = {Sabine Grunwald},
Pages = {488},
Publisher = {Taylor \& Francis},
Year = {2006},
Edition = {1},
File = {Grunwald2006a.pdf:Book/Grunwald2006a.pdf:PDF},
Keywords = {redemds; the soil concept; the land concept;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@InCollection{GrunwaldEtAl2006,
Title = {Are current scientific visualisation and virtual reality techniques capable to represent real soil-landscapes?},
Author = {Sabine Grunwald and V. Ramasundaram and N.B. Comerford and C.M. Bliss},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {571 - 580},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Real soil-landscapes are complex consisting of an inextricable mix of patterns and noise varying continuously in the space-time continuum. Soils and parent material show gradual variations in the horizontal and vertical planes forming three-dimensional (3D) bodies that are commonly anisotropic. There is no real beginning and end point in soil-landscapes because environmental conditions are dynamically changed through water flow, biogeochemical processes and human activities. The strengths of soil-landscape modelling lies in hypothesis testing, understanding causal linkages between environmental factors and their interrelationships within a spatial and temporal explicit context. To develop virtual soil-landscape models entails: (i) conceptualisation, that is defining the model framework (e.g. finite space elements); (ii) reconstruction, that is describing and quantifying underlying conditions and behaviour and (iii) scientific visualisation (SciVis), that is abstracting real soil-landscapes into a format that we can comprehend and that helps us to understand the complexity of soil-landscapes. The primary objective in data visualisation is to gain insight into an information space by mapping data onto graphical primitives. Capabilities and limitations of SciVis and virtual reality (VR) techniques are discussed in this chapter. Only recently 3D soil-landscape models have been emerging. We present a case study that translated the spatio-temporal water-table dynamics of a flatwood soil-landscape in Florida into a virtual domain using a geostatistical method to reconstruct the soil-landscape and Virtual Reality Modelling Language (VRML) enhanced with External Authoring Interface (EAI) for visualisation and implementation of interactive functions. Just as maps can visually enhance the spatial understanding of phenomena, interactive spatio-temporal applications can enhance our understanding of complex environmental systems and the underlying transport processes driving soil and water quality.},
Doi = {DOI: 10.1016/S0166-2481(06)31042-2},
File = {:Developments in Soil Science/Grunwald_Dev Soil Sci_2006.pdf:PDF},
ISSN = {0166-2481},
Keywords = {redemds},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1Y/2/bdea4423a4b1f06fb79c00b7872667b7}
}
@InCollection{GuberEtAl2004,
Title = {Soil aggregates and water retention},
Author = {A. Guber and Ya. Pachepsky and E. Shein and W.J. Rawls},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {143 - 151},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30008-5},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-8/2/3be56158abc54373dbf39e637eef43c2}
}
@Article{GuillenEtAl2004,
Title = {A survey of department of energy? Sponsored geophysical research for shallow waste site characterization},
Author = {Donna Post Guillen and Russel C. Hertzog},
Journal = {Vadoze Zone Journal},
Pages = {122-133},
Volume = {3},
Year = {2004},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://reference.kfupm.edu.sa/content/f/o/for_shallow_waste_site_characterization_83271.pdf}
}
@Mastersthesis{Guimaraes2000,
Title = {Utilização do Sistema de Informação Geográfica (SIG) para identificação de áreas potenciais para disposição de resíduos na Bacia do Paquequer, município de Teresópolis - RJ.},
Address = {Rio de Janeiro},
Author = {Lucy Teixeira Guimarães},
Pages = {136},
School = {Universidade Federal do Rio de Janeiro},
Year = {2000},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{GunstEtAl1979,
Title = {Some considerations in the evaluation of alternate prediction equations},
Author = {Gunst, Richard F. and Mason, Robert L.},
Journal = {Technometrics},
Pages = {55-63},
Volume = {21},
Year = {1979},
Number = {1},
Abstract = {Prediction equations constructed from multiple linear regression analyses are often intended for use in predicting response values throughout a region of the space of the predictor variables. Criteria for evaluating prediction equations, however, have generally concentrated attention on mean squared error properties of the estimated regression coefficients or on mean squared error properties of the predictor at the design points. If adequate prediction throughout a region of the space of predictor variables is the goal, neither of these criteria may be satisfactory in assessing the predictor. In this paper integrated mean squared error is used as a criterion to determine when the least squares, principal component, and ridge regression estimators of regression coefficients can produce satisfactory prediction equations in the presence of a multicollinear design matrix.},
Copyright = {Copyright © 1979 American Statistical Association and American Society for Quality},
File = {GunstEtAl1979.pdf:GunstEtAl1979.pdf:PDF},
ISSN = {00401706},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Feb., 1979},
Keywords = {principal component analysis; regression;},
Language = {English},
Owner = {alessandro},
Publisher = {American Statistical Association and American Society for Quality},
Timestamp = {25.06.2013},
Url = {http://www.jstor.org/stable/1268580}
}
@Article{GunstEtAl1977,
Title = {Advantages of examining multicollinearities in regression analysis},
Author = {Gunst, Richard F. and Mason, Robert L.},
Journal = {Biometrics},
Pages = {pp. 249-260},
Volume = {33},
Year = {1977},
Number = {1},
Abstract = {In this paper a regression analysis is performed with data on spinal cord injuries in order to demonstrate the benefits of determining which, if any, multicollinearities are present in prediction data. Existing multicollinearities are shown to be useful both in determining characteristics of the sampled population as well as explaining possible erratic behavior of variable selection procedures. Latent root regression is performed on the data to illustrate one method of using biased regression techniques to incorporate knowledge of multicollinearities in developing prediction equations.},
Copyright = {Copyright © 1977 International Biometric Society},
File = {GunstEtAl1977.pdf:GunstEtAl1977.pdf:PDF},
ISSN = {0006341X},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 1977},
Keywords = {principal component analysis; regression;},
Language = {English},
Owner = {alessandro},
Publisher = {International Biometric Society},
Timestamp = {25.06.2013},
Url = {http://www.jstor.org/stable/2529320}
}
@Article{GunstEtAl1977a,
Title = {Biased estimation in regression: an evaluation using mean squared error},
Author = {Gunst, Richard F. and Mason, Robert L.},
Journal = {Journal of the American Statistical Association},
Pages = {616-628},
Volume = {72},
Year = {1977},
Number = {359},
Abstract = {A mean squared error criterion is used to compare five estimators of the coefficients in a linear regression model: least squares, principal components, ridge regression, latent root, and a shrunken estimator. Each of the biased estimators is shown to offer improvement in mean squared error over least squares for a wide range of choices of the parameters of the model. The results of a simulation involving all five estimators indicate that the principal components and latent root estimators perform best overall, but the ridge regression estimator has the potential of a smaller mean squared error than either of these.},
Copyright = {Copyright © 1977 American Statistical Association},
File = {GunstEtAl1977a.pdf:GunstEtAl1977a.pdf:PDF},
ISSN = {01621459},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Sep., 1977},
Keywords = {principal component analysis; regression;},
Language = {English},
Owner = {alessandro},
Publisher = {American Statistical Association},
Timestamp = {24.06.2013},
Url = {http://www.jstor.org/stable/2286229}
}
@Article{GunstEtAl1976,
Title = {A comparison of least squares and latent root regression estimators},
Author = {Gunst, R. F. and Webster, J. T. and Mason, R. L.},
Journal = {Technometrics},
Pages = {pp. 75-83},
Volume = {18},
Year = {1976},
Number = {1},
Abstract = {Multicollinearity among the columns of regressor variables is known to cause severe distortion of the least squares estimates of the parameters in a multiple linear regression model. An alternate method of estimating the parameters which was proposed by the authors in a previous paper is Latent Root Regression Analysis. In this article several comparisons between the two methods of estimation are presented. The improvement of Latent Root Regression over ordinary least squares is shown to depend on the orientation of the parameter vector with respect to a vector defining the multicollinearity. Despite this dependence on orientation, the authors conclude that with multicollinear data Latent Root Regression Analysis is preferable to ordinary least squares for parameter estimation and variable selection.},
Copyright = {Copyright © 1976 American Statistical Association and American Society for Quality},
File = {GunstEtAl1976.pdf:GunstEtAl1976.pdf:PDF},
ISSN = {00401706},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Feb., 1976},
Keywords = {principal component analysis; regression;},
Language = {English},
Publisher = {American Statistical Association and American Society for Quality},
Url = {http://www.jstor.org/stable/1267919}
}
@Article{GuoEtAl2009,
Title = {Spatial data mining and geographic knowledge discovery - an introduction},
Author = {Diansheng Guo and Jeremy Mennis},
Journal = {Computers, Environment and Urban Systems},
Pages = {403 - 408},
Volume = {33},
Year = {2009},
Note = {<ce:title>Spatial Data Mining–Methods and Applications</ce:title> },
Number = {6},
Abstract = {Voluminous geographic data have been, and continue to be, collected with modern data acquisition techniques such as global positioning systems (GPS), high-resolution remote sensing, location-aware services and surveys, and internet-based volunteered geographic information. There is an urgent need for effective and efficient methods to extract unknown and unexpected information from spatial data sets of unprecedentedly large size, high dimensionality, and complexity. To address these challenges, spatial data mining and geographic knowledge discovery has emerged as an active research field, focusing on the development of theory, methodology, and practice for the extraction of useful information and knowledge from massive and complex spatial databases. This paper highlights recent theoretical and applied research in spatial data mining and knowledge discovery. We first briefly review the literature on several common spatial data-mining tasks, including spatial classification and prediction; spatial association rule mining; spatial cluster analysis; and geovisualization. The articles included in this special issue contribute to spatial data mining research by developing new techniques for point pattern analysis, prediction in space–time data, and analysis of moving object data, as well as by demonstrating applications of genetic algorithms for optimization in the context of image classification and spatial interpolation. The papers concludes with some thoughts on the contribution of spatial data mining and geographic knowledge discovery to geographic information sciences. },
Doi = {10.1016/j.compenvurbsys.2009.11.001},
File = {GuoEtAl2009.pdf:GuoEtAl2009.pdf:PDF},
ISSN = {0198-9715},
Keywords = {Spatial data mining},
Url = {http://www.sciencedirect.com/science/article/pii/S0198971509000817}
}
@InCollection{Guth2009,
Title = {Geomorphometry in MicroDEM},
Author = {P. Guth},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {15},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {351 - 366},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00015-9},
File = {Guth2009.pdf:Guth2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {MicroDEM and its history; how do I get MicroDEM on my computer; what can MicroDEM do; how do I use MicroDEM; what is terrain organisation; how is MicroDEM unique; projection system;},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-T/2/f57e851d64c02da3ac9286c598729a77}
}
@InCollection{Guth2004,
Title = {The Geometry of Line-of-Sight and Weapons Fan Algorithms},
Author = {Guth, Peter L.},
Booktitle = {Studies in Military Geography and Geology},
Publisher = {Springer},
Year = {2004},
Address = {Netherlands},
Editor = {Caldwell, Douglas R. and Ehlen, Judy and Harmon, Russell S.},
Pages = {271-285},
Abstract = {Intervisibility algorithms, when applied to digital elevation models, are used to compute line-of-sight, weapons fans or viewsheds, and accurate threedimensional perspective views. Whereas data quality, atmospheric effects, vegetation, and buildings contribute to the final result, the geometric model has a major impact. Seven geometric parameters should be explicitly defined: Viewer and target locations, interpretation of viewshed, point interpolation, point selection along radials, viewshed creation, vertical earth curvature, and horizontal earth curvature. The importance of horizontal earth curvature - the determination of straight line distance between observer and target - has not been sufficiently appreciated. Unless Universal Transverse Mercator approximations are valid, geodetic computations should be used. Because digital elevation models available to the military typically have a geographicbased point spacing, many established procedures that implicitly assume a conformal Universal Transverse Mercator grid introduce errors. A spaced radial algorithm produces the best weapons fans.},
Doi = {10.1007/978-1-4020-3105-2_21},
ISBN = {978-1-4020-3104-5},
Url = {http://dx.doi.org/10.1007/978-1-4020-3105-2_21}
}
@Mastersthesis{Guth2010,
Title = {Perdas de solo e água por erosão hídrica em sistemas de culturas oleaginosas},
Address = {Santa Maria},
Author = {Paulo Luis Guth},
Pages = {85},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2010},
Abstract = {A sustentabilidade da produção de oleaginosas está na dependência das práticas agrícolas, sendo a erosão a mais preocupante forma de degradação do solo. Desta forma, desenvolveu-se um estudo no campus da UFSM, cidade de Santa Maria, entre outubro de 2007 e outubro de 2009, com o objetivo de avaliar as perdas de solo e água por erosão hídrica em sistemas de rotação de culturas oleaginosas e plantas de cobertura. O clima da região é do tipo ?Cfa?, com precipitação média anual de 1686 mm. O solo com declividade de 6,5% é classificado como Argissolo Vermelho Distrófico arênico. A unidade experimental constitui-se de uma parcela com dimensões de 3 m de largura e 15 m de comprimento. O delineamento experimental é inteiramente casualizado, com duas repetições. Os tratamentos consistem de três rotações: R1 (soja, aveia preta + ervilhaca, mamona + amendoim e canola), R2 (mamona + amendoim, nabo, girassol e aveia preta + ervilhaca) e R3 (girassol, canola, soja e nabo). Determinouse o rendimento da massa seca das culturas de verão e inverno, e a produção de grãos das culturas oleaginosas de verão. Realizou-se a amostragem e medição da enxurrada de cada chuva, sendo as perdas de solo e água calculadas, utilizando-se o programa computacional Excel. Os resultados de perdas de solo foram expressos em kg ha-1 e as perdas de água em % em relação à chuva. O índice de erosividade (EI30, MJ mm ha-1 h-1), foi determinado pelo programa Chuveros, a partir do qual se obteve a erosividade acumulada para cada período das culturas. Procedeu-se também a caracterização física (Dp, Ds, Pt, macro e microporosidade, DMG, DMP e distribuição do tamanho dos agregados em água), nas profundidades de 0-8 e 8-16 cm, e química (MO, macro e micronutrientes) nas profundidades de 0-5 e 5-20 cm. Aos valores obtidos, foi aplicado o teste de Tukey para comparação das médias dos tratamentos. Observa-se que a canola, quando comparada às demais culturas de inverno, apresenta uma redução significativa da MS no inverno de 2008 (R3) e também no inverno de 2009 (R1). Verifica-se que são superiores à produtividade de grãos das culturas da R2 (verão 2007/06) e R1 (verão 2008/09), ambas constituídas pelo consórcio entre mamona + amendoim, elevando significativamente o total de grãos produzido neste consórcio. Verifica-se em 2009, uma tendência de diminuição da Ds, DMP e agregados de maior tamanho, favorecendo as classes de menor tamanho. As alterações nas características químicas podem ser atribuídas à aplicação de corretivos e as modificações nos teores de MO que ocorrem em profundidade. As perdas de solo e água aumentam na medida em que diminui a MS adicionada pelas culturas. Mesmo que se considere a R3, onde se obteve as maiores perdas de solo (4641 kg ha-1) e água (23,33%), observa-se que os valores obtidos neste rabalho são baixos. A produção de grãos da soja e do girassol é significativamente menor que o cultivo consorciado da mamona com o amendoim.},
Owner = {pccli},
Timestamp = {2011.07.12},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Article{Guth2006,
Title = {Geomorphometry from SRTM: Comparison to NED},
Author = {Peter L. Guth},
Year = {2006},
File = {Guth2006.pdf:Guth2006.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Inproceedings{Guth2005,
Title = {Shortcuts in the line-of-sight and viewshed algorithms with gridded geographic dems: what’s permissible and what’s illegitimate},
Author = {Peter L. Guth},
Year = {2005},
File = {Guth2005.pdf:Guth2005.pdf:PDF},
Keywords = {DEM Interpolation; Resampling; Reprojection;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Article{GuyonEtAl2003,
Title = {An introduction to variable and feature selection},
Author = {Isabelle Guyon and André Elisseeff},
Journal = {Journal of Machine Learning Research},
Pages = {1157-1182},
Volume = {3},
Year = {2003},
Abstract = {Variable and feature selection have become the focus of much research in areas of application for which datasets with tens or hundreds of thousands of variables are available. These areas include text processing of internet documents, gene expression array analysis, and combinatorial chemistry. The objective of variable selection is three-fold: improving the prediction performance of the predictors, providing faster and more cost-effective predictors, and providing a better understanding of the underlying process that generated the data. The contributions of this special issue cover a wide range of aspects of such problems: providing a better definition of the objective function, feature construction, feature ranking, multivariate feature selection, efficient search methods, and feature validity assessment methods.},
File = {GuyonEtAl2003.pdf:GuyonEtAl2003.pdf:PDF},
Keywords = {redemds; Variable selection, feature selection, space dimensionality reduction, pattern discovery, filters, wrappers, clustering, information theory, support vector machines, model selection, statistical testing, bioinformatics, computational biology, gene expression, microarray, genomics, proteomics, QSAR, text classification, information retrieval.},
Owner = {Administrador},
Timestamp = {2011.01.28},
Url = {http://jmlr.csail.mit.edu/papers/volume3/guyon03a/guyon03a.pdf}
}
@Article{Haase1999,
Title = {Litterfall and nutrient return in seasonally flooded and non-fçooded forest of the Pantanal, Mato Grosso, Brazil},
Author = {Rainer Haase},
Journal = {Forest Ecology and Management},
Pages = {129-147},
Volume = {117},
Year = {1999},
Abstract = {Seasonally ¯ooded evergreen forests and non-¯ooded deciduous and semi-deciduous forests of the Pantanal of Mato Grosso, Brazil, were studied to compare their structure and ¯oristic composition, their production of small litterfall and its seasonal variation, as well as the nutrient input into the soil by fallen litter. The litterfall data were used to test the hypothesis that seasonally ¯ooded forests of the Pantanal are more productive than non-¯ooded forests. Eight permanent plots of 0.25 ha each were established in three forest types. The clayey forest soils had low N and P concentrations, a CEC from 20 to 190 mmol gÿ 1 and a pH from 5.1 to 6.6. All trees of 5 cm DBH were identi®ed and their diameters measured. Tree density and stand basal area ranged, respectively, from 368 to 1700 haÿ 1 and 15.5 to 25.3 m 2 haÿ 1 in non-¯ooded and from 725 to 2005 haÿ 1 and 22.1 to 32.6 m 2 haÿ 1 in seasonally ¯ooded forests. There were no signi®cant differences in stem density and basal area between non-¯ooded and seasonally ¯ooded forest. Species richness ranged from 4 to 17 per plot. Small litterfall (leaves, wood 2 cm, reproductive parts, trash<2 mm) was collected monthly over three years in 25 litter traps on each plot. Dry weights and element concentrations (N, P, K, Ca, Mg, Al) of litter fractions were determined. Concentrations of P, Ca, and Mg were highest in leaf litter from plots with many deciduous species. Accumulated Al (1.4%) was found in litter from Vochysia divergens Pohl. Element accession rates were low in deciduous and high in semi-deciduous and evergreen forest. Total litterfall in non- ¯ooded deciduous and semi-deciduous forest (4.86 to 7.71 t haÿ 1 yearÿ 1 ) was signi®cantly lower than in seasonally ¯ooded evergreen forest (7.53 to 10.27 t haÿ 1 yearÿ 1 ). The ®ndings show that, despite seasonal water excess being the prominent feature of the Pantanal, it is water shortage in the dry season that limits forest productivity.},
File = {:Forest Ecology and Management/Haase_Forest Ecol Manage_1999.pdf:PDF},
Keywords = {Semi-deciduous forest; Tropical seasonal forest; Seasonal-swamp forest; Cerrado; CerradaÄo; Vochysia divergens; Callisthene fasciculata},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0378112798004770}
}
@Article{HackEtAl2005,
Title = {Análise fitossociológica de um fragmento de floresta estacional decidual no município de {J}aguari, {RS}},
Author = {Cristiano Hack and Solon Jonas Longhi and Alexandra Augusti Boligon and Augusto Bolson Murari and Dalva Teresinha Pauleski},
Journal = {Ciência Rural},
Pages = {1083-1091},
Volume = {35},
Year = {2005},
Abstract = {Foi realizado um estudo da vegetação de um fragmento de Floresta Estacional Decidual, na localidade de São Roque, município de Jaguari, RS, Brasil, com objetivo de caracterizar a diversidade florística, bem como as espécies mais importantes na composição do fragmento. Para a avaliação e identificação das espécies arbóreas com Circunferência à Altura do Peito (CAP) = 30cm, foram demarcadas de maneira sistemática, 14 unidades amostrais de 10x100 m (1000 m 2 ). Nestas, foram avaliadas a espécie vegetal, CAP, altura total, altura comercial, posição sociológica e classe de copa. Observou- se a ocorrência de 54 espécies arbóreas e 28 famílias. O Índice de Diversidade de Shannon foi de 3,63, indicando elevada diversidade de espécies no fragmento. As famílias Sapindaceae, Myrtaceae e Meliaceae foram, em número de espécies, as mais representativas do fragmento, sendo que as espécies com maior valor de importância foram Cupania vernalis, Patagonula americana e Cabralea canjerana. No estrato superior, as espécies dominantes foram Patagonula americana, Cabralea canjerana e Luehea divaricata.},
Doi = {10.1590/S0103-84782005000500015},
File = {:Ciência Rural/Hack et al_Cienc Rural_2005.pdf:PDF},
Keywords = {fitossociologia, diversidade florística, espécies arbóreas; dnos;},
Owner = {Administrador},
Timestamp = {2010.12.29}
}
@Article{Hack1960,
Title = {Interpretation of erosional topography in humid-temperate regions},
Author = {Hack, J.T.},
Journal = {American Journal of Science},
Pages = {80-97},
Volume = {258A},
Year = {1960},
File = {Hack1960.pdf:Hack1960.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.28}
}
@Article{Haig2003,
Title = {What is a spurious correlation?},
Author = {Brian D Haig},
Journal = {Understanding Statistics},
Pages = {125-132},
Volume = {2},
Year = {2003},
Keywords = {spurious correlation, accidental correlation, genuine correlation, generative causation, third variables},
Owner = {Alessandro},
Timestamp = {2011.01.03},
Url = {http://www.onepoint.ca/what%20is%20a%20spurious%20correlation.pdf}
}
@Book{Haining2004,
Title = {Spatial data analysis - theory and practice},
Author = {Robert Haining},
Pages = {432},
Publisher = {New York, USA: Cambridge University Press},
Year = {2004},
Edition = {1},
File = {Haining2004.pdf:Book/Haining2004.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Book{HairEtAl2010,
Title = {Multivariate data analysis},
Address = {New Jersey},
Author = {Hair, J. F. and Black, B. and Babin, B. and Anderson, R. E.},
Pages = {760},
Publisher = {Pearson Prentice Hall},
Year = {2010},
Edition = {7},
File = {HairEtAl2010.pdf:Book/HairEtAl2010.pdf:PDF},
Keywords = {dictionary; collinearity; Akaike Information Criterion; linear; regression; model;},
Owner = {pccli},
Timestamp = {2011.06.02}
}
@Article{HamadaEtAl2004,
Title = {Influência da compactação de um solo arenoso na infiltração e retenção de carga orgânica de chorume},
Author = {Jorge Hamada and Daniela Augusta Nicolielo Queiroz Pereira Calças and Heraldo Luiz Giacheti},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {180-186},
Volume = {9},
Year = {2004},
File = {:Engenharia Sanitária e Ambiental/Hamada et al_Eng Sanit Ambient_2004.pdf:PDF},
Keywords = {Percolação de chorume, solos arenosos, atenuação de carga orgânica.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.scielo.br/pdf/esa/v9n3/v9n3a02.pdf}
}
@Article{HanifEtAl1980,
Title = {Sampling with unequal probabilities without replacement: a review},
Author = {Hanif, Muhammad and Brewer, K. R. W.},
Journal = {International Statistical Review},
Pages = {317-335},
Volume = {48},
Year = {1980},
Number = {3},
Abstract = {This paper deals with a review of sampling with unequal probabilities without replacement. In Section 2 of this paper, a list of selection Procedures along with their properties (in brief) is given. Section 3 deals with the comparison of the Horvitz-Thompson Estimator and an approximate formula for the estimation of variance which does not involve ? IJ is presented and comparison of special estimators is made in Section 4. /// Cet article passe en revue les sondages avec probabilités inégales, sans remise. Dans sa section 2, on donne une liste de procédés de tirage, ainsi que leurs propriétés (sommairement). La Section 3 s'occupe de la comparaison de l'estimateur de Horvitz & Thompson, tandis qu'on propose une formule approchée d'estimation de la variance ne renfermant pas ? IJ; la comparaison des estimateurs particuliers se fait dans la Section 4.},
Copyright = {Copyright © 1980 International Statistical Institute (ISI)},
File = {HanifEtAl1980.pdf:international_statistical_review/HanifEtAl1980.pdf:PDF},
ISSN = {03067734},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Dec., 1980},
Language = {English},
Publisher = {International Statistical Institute (ISI)},
Url = {http://www.jstor.org/stable/1402944}
}
@Book{HaerdleEtAl2007,
Title = {Applied multivariate statistical analysis},
Address = {Berlin},
Author = {Wolfgang Härdle and Léopold Simar},
Pages = {455},
Publisher = {Springer},
Year = {2007},
Edition = {2},
Abstract = {The second edition of this book widens the scope of the methods and applications of Applied Multivariate Statistical Analysis. We have introduced more up to date data sets in our examples. These give the text a higher degree of timeliness and add an even more applied flavour. Since multivariate statistical methods are heavily used in quantitative finance and risk management we have put more weight on the presentation of distributions and their densities. We discuss in detail different families of heavy tailed distributions (Laplace, Generalized Hyperbolic). We also devoted a section on copulae, a new concept of dependency used in the financial risk management and credit scoring. In the chapter on computer intensive methods we have added support vector machines, a new classification technique from statistical learning theory. We apply this method to bankruptcy and rating analysis of firms. The very important CART (Classification and Regression Tree) technique is also now inserted into this chapter. We give an application to rating of companies. The probably most important step towards readability and user friendliness of this book is that we have translated all Quantlets into the R and Matlab language. The algorithms can be downloaded from the authors? web sites. In the preparation of this 2nd edition, we received helpful output from Anton Andriyashin, Ying Chen, Song Song and Uwe Ziegenhagen. We would like to thank them.},
File = {HardleEtAl2007.pdf:Book/HardleEtAl2007.pdf:PDF},
Keywords = {Correlation; Population; Matrix;},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{HargroveEtAl2001,
Title = {The Do-It-Yourself Supercomputer},
Author = {William W. Hargrove and Forrest M. Hoffman and Thomas Sterling},
Journal = {Scientific American},
Pages = {72-79},
Volume = {265},
Year = {2001},
Number = {2},
File = {HargroveEtAl2001.pdf:HargroveEtAl2001.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.13},
Url = {http://www.scientificamerican.com/article.cfm?id=the-do-it-yourself-superc}
}
@Manual{HARRELL2012,
Title = {rms: regression modeling strategies},
Author = {Harrell Jr., Frank E},
Year = {2012},
Abstract = {Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression model, but it was especially written to work with binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.},
File = {Harrell2012.pdf:Harrell2012.pdf:PDF},
Keywords = {variable selection},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.22},
Url = {http://cran.r-project.org/web/packages/rms}
}
@Book{Harrell2001a,
Title = {Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis},
Address = {New York},
Author = {Frank E. Harrell},
Pages = {571},
Publisher = {Springer},
Year = {2001},
Series = {Springer Series in Statistics},
File = {Harrell2001a.pdf:Harrell2001a.pdf:PDF},
ISBN = {0387952322},
Keywords = {PhDpaper1},
Url = {http://www.springer.com/mathematics/probability/book/978-0-387-95232-1}
}
@Article{Harrington1962,
Title = {Paleogeographic development of South America},
Author = {Horacio J. Harrington},
Journal = {AAPG Bulletin},
Pages = {1773-1814},
Volume = {46},
Year = {1962},
File = {Harrington1962.pdf:Biometrics/AAPG Bulletin/Harrington1962.pdf:PDF},
Keywords = {geologia},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.11}
}
@InCollection{HarteminkEtAl2010,
Title = {GlobalSoilMap.net – A New Digital Soil Map of the World},
Author = {Hartemink, AlfredE. and Hempel, Jon and Lagacherie, Philippe and McBratney, Alex and McKenzie, Neil and MacMillan, RobertA. and Minasny, Budiman and Montanarella, Luca and Mendonça Santos, MariaLourdes and Sanchez, Pedro and Walsh, Markus and Zhang, Gan-Lin},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {423-428},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_33},
File = {HarteminkEtAl2010.pdf:HarteminkEtAl2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {Soil map; Global consortium; Soil information system},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_33}
}
@Electronic{Hartemink2011,
Title = {25 Points on an Universal Soil Classification System},
Address = {West Lafayette},
Author = {Hartemink, A. E.},
HowPublished = {online},
Language = {en-EN},
Month = {05},
Organization = {IUSS and USDA-NRCS},
Url = {http://soils.usda.gov/technical/classification/},
Year = {2011},
File = {Hartemink2011.pdf:Hartemink2011.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.02}
}
@Article{HarteminkEtAl2008,
Title = {A soil science renaissance},
Author = {Alfred E. Hartemink and Alex. McBratney},
Journal = {Geoderma},
Pages = {123-129},
Volume = {148},
Year = {2008},
Number = {2},
Abstract = {The renaissance was an intellectually-rich period following a period of stasis in the medieval period. Something analogous appears to be currently taking place in soil science where novel approaches to thought are combined with a revival of ideas from the past. Renewed interest in agriculture (food, feed, fuel) and numerous publications have brought soils back onto the global research agenda. The need for up-to-date and fine resolution soil information and the revival of soil research has been highlighted and prioritised in several recent studies by the UN and other international organizations. Soil erosion, nutrient depletion and pollution are key issues that have been brought up in many recent reports ? in most cases in relation to environmental degradation, climate change and world-food production. There is also an increased interest in soils in the popular press and media, and soils have entered the policy arena in many countries and several continents. We guestimate that about €3.2 billion is annually spent on soil research in Europe, North America, and some of the main countries in Asia and Oceania. For the global soil science community, there are challenges ahead to address the questions raised in these reports. There is a whole set of new techniques and methodologies in the wings waiting to take centre stage. There is a direct need to educate a new generation of soil scientists and to increase the influx of soil science students in many universities. The soil science community should benefit from the current upsurge in soil science, but the community has to deliver the goods and information that is wanted and much needed.},
Doi = {10.1016/j.geoderma.2008.10.006},
File = {:Geoderma/Hartemink e McBratney_Geoderma_2008.pdf:PDF},
Keywords = {Soil science; redemds}
}
@Article{HartungEtAl1969,
Title = {The influence of aspect on forests of the Clarksville soils in Dent Country, Missouri},
Author = {Hartung, R.E. and Lloyd, W.J.},
Journal = {Journal of Forestry},
Pages = {178-182},
Volume = {67},
Year = {1969},
Abstract = {In studying site index measurements for soil mapping units, the influence of aspect on site index was observed. Clarksville soils were selected for more intensive study. These soils are described with their principal cover types. Using the oak plot data, regression equations were developed to test for most favorable aspect. Equations are given from which site index of shortleaf pine and upland oak can be calculated at any given aspect. The influence of aspect upon species composition is noted.},
Owner = {Administrador},
Timestamp = {2011.01.19}
}
@Techreport{HasenackEtAl2010,
Title = {Base cartográfica vetorial contínua do Rio Grande do Sul - escala 1:50.000},
Address = {Porto Alegre},
Author = {Heinrich Hasenack and Eliseu Weber},
Pages = {21},
Publisher = {Universidade Federal do Rio Grande do Sul},
Year = {2010},
File = {HasenackEtAl2010.pdf:HasenackEtAl2010.pdf:PDF},
Keywords = {QGIS; georeferenciamento;},
Owner = {alessandro},
Timestamp = {18.11.2013}
}
@Phdthesis{Haskard2007,
Title = {An anisotropic {M}atérn spatial covariance model: {REML} estimation and properties},
Author = {Haskard, Kathryn Anne},
Pages = {197},
School = {University of Adelaide, School of Agriculture, Food and Wine},
Year = {2007},
File = {Haskard2007.pdf:Haskard2007.pdf:PDF},
Keywords = {Matern correlation; geometric anisotropy; model-based geostatistics; residual maximum likehood; REML; Matern covariance; Cressie;},
Url = {http://digital.library.adelaide.edu.au/dspace/handle/2440/47972}
}
@Article{HaskardEtAl2007,
Title = {Anisotropic {M}atérn correlation and spatial prediction using {REML}},
Author = {Haskard, KathrynA. and Cullis, BrianR. and Verbyla, ArūnasP.},
Journal = {Journal of Agricultural, Biological, and Environmental Statistics},
Pages = {147-160},
Volume = {12},
Year = {2007},
Number = {2},
Doi = {10.1198/108571107X196004},
File = {HaskardEtAl2007.pdf:HaskardEtAl2007.pdf:PDF},
ISSN = {1085-7117}
}
@Book{HastieEtAl2009,
Title = {The elements of statistical learning},
Address = {New York},
Author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
Pages = {746},
Publisher = {Springer},
Year = {2009},
Edition = {2},
File = {HastieEtAl2009.pdf:HastieEtAl2009.pdf:PDF},
Keywords = {redemds; cross-validation; Random; Forest;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.01}
}
@Article{Hauser1974,
Title = {Some problems in the use of stepwise regression techniques in geographical research},
Author = {Hauser, D. P.},
Journal = {Canadian Geographer},
Pages = {148-158},
Volume = {18},
Year = {1974},
Number = {2},
Doi = {10.1111/j.1541-0064.1974.tb00116.x}
}
@Article{HavlinEtAl2010,
Title = {Trends in soil science education and employment},
Author = {J. Havlin and N. Balster and S. Chapman and D. Ferris and T. Thompson and T. Smith},
Journal = {Soil Science Society of America Journal},
Pages = {1429-1432},
Volume = {74},
Year = {2010},
Abstract = {During the last several decades, members of the SSSA have discussed several trends related to soil science education, including: (i) declining academic programs and course offerings at land grant universities, (ii) decreased enrollments, and (iii) improved employment opportunities for soil science graduates (SSSA, 2006; Ferris et al., 2010). The SSSA Advocacy/Education Task Force met in 2007 and concluded that quantitative survey information was needed to document trends in soil science academic programs, student enrollment, faculty, and job opportunities for graduates. Suggested survey topics included: · Has the recognition of soil science as a distinct discipline increased or decreased? · How has the job market changed during the past decade, and how will job opportunities for soil scientists change in the future? · How have undergraduate and graduate soils curricula changed during the last decade? · Has enrollment in soil science degree programs and courses changed during the past decade? · Has there been a change in the degree programs of students enrolling in soils courses in the past decade? · Have soil science programs been combined with other programs? Therefore, the objective of the survey was to quantify trends in student enrollment, faculty positions, pertinent educational issues in soil and related sciences, and career or job opportunities and trends. Expected outcomes included a better understanding of current educational practices and trends, and identification of specific opportunities for SSSA to enhance the practice and profession of soil science.},
Doi = {10.2136/sssaj2010.0143},
Owner = {Alessandro},
Timestamp = {2011.02.25}
}
@Manual{Heiberger2011,
Title = {HH: Statistical Analysis and Data Display: Heiberger and Holland},
Address = {Viena},
Author = {Richard M. Heiberger},
Publisher = {R Project},
Year = {2011},
Note = {R package version 2.2-23},
Url = {http://CRAN.R-project.org/package=HH}
}
@Article{HeimEtAl2009,
Title = {Effects of sampling design on the probability to detect soil carbon stock changes at the Swiss CarboEurope site Lägeren},
Author = {A. Heim and L. Wehrli and W. Eugster and M.W.I. Schmidt},
Journal = {Geoderma},
Pages = {347-354},
Volume = {149},
Year = {2009},
Abstract = {Soil carbon stock changes are an important element in our attempt to understand and quantify the role of terrestrial carbon sinks. Unfortunately, the large spatial variability of organic carbon stocks in soils complicates their analytical quantification. At a heterogeneous forest site, we conducted a pilot study to estimate whether the choice of a suitable sampling design reduces the uncertainty of the stock estimate to an extent that permits the detection of carbon stock changes within a reasonable time period. Parent material had a strong effect on soil carbon stocks and stratified sampling of parent material classes reduced the error of the carbon stock estimate for the top 10 cm of the mineral soil from 3.1 to 1.7 t C ha?1. We estimated that replacing an unpaired sampling approach by a paired sampling approach could improve the detection limit of stock changes approximately by a factor of four. Despite these improvements, we estimate that about 15 years will be necessary to detect carbon stock changes in the top 10 cm if soil carbon sequestration occurs at the rate (0.43 t C ha?1 a?1) predicted by current carbon cycle models.},
Doi = {10.1016/j.geoderma.2008.12.018},
File = {:Geoderma/Heim et al_Geoderma_2009.pdf:PDF},
Keywords = {Carbon stocks; Forest soil; Inventory; Stratified sampling design; Parent material},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{HeinseEtAl2007,
Title = {Measurements and modeling of variable gravity effects on water distribution and flow in unsaturated porous media},
Author = {Robert Heinse and Scott B. Jones and Susan L. Steinberg and Markus Tuller and Dani Or},
Journal = {Vadoze Zone Journal},
Pages = {713-724},
Volume = {6},
Year = {2007},
Abstract = {Liquid behavior under reduced gravity conditions is of considerable interest for various components of life-support systems required for manned space missions. High costs and limited opportunities for space? ight experiments hinder advances in reli- able design and operation of elements involving ? uids in unsaturated porous media such as plant growth facilities. We used para- bolic ? ight experiments to characterize hydraulic properties under variable gravity conditions deduced from variations in matric potential over a range of water contents. We designed and tested novel measurement cells that allowed dynamic control of water content. Embedded time domain re? ectometry probes and fast-responding tensiometers measured changes in water content and matric potential. For near-saturated conditions, we observed rapid establishment of equilibrium matric potentials during the recurring 20-s periods of microgravity. As media water content decreased, the concurrent decrease in hydraulic diffusivity resulted in limited attainment of equilibrium distributions of water content and matric potential in microgravity, and water con- tent heterogeneity within the sample was in? uenced by the preceding hypergravity phase. For steady ? uxes through saturated columns, we observed linear and constant hydraulic gradients during variable gravity, yielding saturated hydraulic conductivi- ties similar to values measured under terrestrial gravity. Our results suggest that water distribution and retention behavior are sensitive to varied gravitational forces, whereas saturated hydraulic conductivity appears to be unaffected. Comparisons between measurements and simulations based on the Richards equation were in reasonable agreement, suggesting that fundamental laws of ? uid ? ow and distribution for macroscopic transport derived on Earth are also applicable in microgravity.},
Doi = {10.2136/vzj2006.0105},
File = {HeinseEtAl2007.pdf:HeinseEtAl2007.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Article{HeldweinEtAl2009,
Title = {O clima de {S}anta {M}aria},
Author = {Heldwein, A.B. and Buriol, G.A. and Streck, N.A.},
Journal = {Ciência e Ambiente},
Pages = {43-58},
Volume = {38},
Year = {2009},
Keywords = {dnos;},
Owner = {Alessandro},
Timestamp = {2011.01.11}
}
@Article{Helland1987,
Title = {On the interpretation and use of R² in regression analysis},
Author = {Helland, Inge S.},
Journal = {Biometrics},
Pages = {61-69},
Volume = {43},
Year = {1987},
Number = {1},
Abstract = {The coefficient of determination (or squared multiple correlation coefficient) R2 is a common output from computer regression packages. We argue first that this statistic can be interpreted as an estimator of a population parameter only when the regressors are random. In such a model the variation of R2 is discussed, and a simple approximate confidence interval for the population coefficient of determination is proposed. Its use is illustrated on data from computerized tomography investigation of pigs.},
Copyright = {Copyright © 1987 International Biometric Society},
File = {Helland1987.pdf:Biometrics/Helland1987.pdf:PDF},
ISSN = {0006341X},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 1987},
Language = {English},
Publisher = {International Biometric Society},
Url = {http://www.jstor.org/stable/2531949}
}
@Techreport{HeltonEtAl2000,
Title = {Sampling-based methods for uncertainty and sensitivity analysis (SAND99-2240)},
Address = {Albuquerque},
Author = {J.C. Helton and F.J. Davis},
Pages = {101},
Year = {2000},
File = {HeltonEtAl2000.pdf:techreport/HeltonEtAl2000.pdf:PDF},
Institution = {Sandia National Laboratories},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.27}
}
@Article{HeltonEtAl2005,
Title = {A comparison of uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling},
Author = {J.C. Helton and F.J. Davis and J.D. Johnson},
Journal = {Reliability Engineering and System Safety},
Pages = {305-330},
Volume = {89},
Year = {2005},
Number = {3},
Abstract = {Uncertainty and sensitivity analysis results obtained with random and Latin hypercube sampling are compared. The comparison uses results from a model for two-phase fluid flow obtained with three independent random samples of size 100 each and three independent Latin hypercube samples (LHSs) of size 100 each. Uncertainty and sensitivity analysis results with the two sampling procedures are similar and stable across the three replicated samples. Poor performance of regression-based sensitivity analysis procedures for some analysis outcomes results more from the inappropriateness of the procedure for the nonlinear relationships between model input and model results than from an inadequate sample size. Kendall's coefficient of concordance (KCC) and the top down coefficient of concordance (TDCC) are used to assess the stability of sensitivity analysis results across replicated samples, with the TDCC providing a more informative measure of analysis stability than KCC. A new sensitivity analysis procedure based on replicated samples and the TDCC is introduced.},
Doi = {10.1016/j.ress.2004.09.006},
File = {HeltonEtAl2005.pdf:Reliability Engineering and System Safety/HeltonEtAl2005.pdf:PDF},
ISSN = {0951-8320},
Keywords = {Epistemic uncertainty; redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0951832004002340}
}
@Article{HeltonEtAl2000a,
Title = {Characterization of subjective uncertainty in the 1996 performance assessment for the Waste Isolation Pilot Plant},
Author = {J.C. Helton and M.-A. Martell and M.S. Tierney},
Journal = {Reliability Engineering and System Safety},
Pages = {191-204},
Volume = {69},
Year = {2000},
Abstract = {The 1996 performance assessment (PA) for the Waste Isolation Pilot Plant (WIPP) maintains a separation between stochastic (i.e. aleatory) and subjective (i.e. epistemic) uncertainty, with stochastic uncertainty arising from the possible disruptions that could occur at the WIPP over the 10,000 yr regulatory period specified by the US Environmental Protection Agency (40 CFR 191, 40 CFR 194) and subjective uncertainty arising from an inability to uniquely characterize many of the inputs required in the 1996 WIPP PA. The characterization of subjective uncertainty is discussed, including assignment of distributions, uncertain variables selected for inclusion in analysis, correlation control, sample size, statistical confidence on mean complementary cumulative distribution functions, generation of Latin hypercube samples, sensitivity analysis techniques, and scenarios involving stochastic and subjective uncertainty.},
Doi = {10.1016/S0951-8320(00)00032-6},
File = {HeltonEtAl2000a.pdf:HeltonEtAl2000a.pdf:PDF},
ISSN = {0951-8320},
Keywords = {Aleatory uncertainty, Complementary cumulative distribution function, Compliance certification application, Epistemic uncertainty, Latin hypercube sampling, Performance assessment, Radioactive waste, Scenario, Stochastic uncertainty, Subjective uncertainty, Transuranic waste, Waste Isolation Pilot Plant, 40 CFR 191, 40 CFR 194; redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0951832000000326}
}
@Article{HeltonEtAl2006,
Title = {Survey of sampling-based methods for uncertainty and sensitivity analysis},
Author = {J C Helton and J D Johnson and C J Sallaberry and C B Storlie},
Journal = {Reliability Engineering and System Safety},
Pages = {1175-1209},
Volume = {91},
Year = {2006},
Note = {<ce:title>The Fourth International Conference on Sensitivity Analysis of Model Output (SAMO 2004)</ce:title> <ce:subtitle>SAMO 2004</ce:subtitle> <xocs:full-name>The Fourth International Conference on Sensitivity Analysis of Model Output (SAMO 2004)</xocs:full-name>},
Number = {10-11},
Abstract = {Sampling-based methods for uncertainty and sensitivity analysis are reviewed. The following topics are considered: (i) definition of probability distributions to characterize epistemic uncertainty in analysis inputs, (ii) generation of samples from uncertain analysis inputs, (iii) propagation of sampled inputs through an analysis, (iv) presentation of uncertainty analysis results, and (v) determination of sensitivity analysis results. Special attention is given to the determination of sensitivity analysis results, with brief descriptions and illustrations given for the following procedures/techniques: examination of scatterplots, correlation analysis, regression analysis, partial correlation analysis, rank transformations, statistical tests for patterns based on gridding, entropy tests for patterns based on gridding, nonparametric regression analysis, squared rank differences/rank correlation coefficient test, two-dimensional Kolmogorov?Smirnov test, tests for patterns based on distance measures, top down coefficient of concordance, and variance decomposition.},
Doi = {10.1016/j.ress.2005.11.017},
File = {HeltonEtAl2006.pdf:Reliability Engineering and System Safety/HeltonEtAl2006.pdf:PDF},
ISSN = {0951-8320},
Keywords = {Aleatory uncertainty; redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0951832005002292}
}
@Article{HemmingaEtAl1997,
Title = {Editorial: NMR in soil science},
Author = {Marcus A Hemminga and Peter Buurman},
Journal = {Geoderma},
Pages = {221-224},
Volume = {80},
Year = {1997},
File = {:Geoderma/Hemminga & Buurman_Geoderma_1997.PDF:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://ntmf.mf.wau.nl/hemminga/Online_articles/Geoderma_SI/HemmingaGeoderma(1997)80,221-224.pdf}
}
@Electronic{HempelEtAl2013,
Title = {Universal Soil Classification System},
Address = {Washington D.C.},
Author = {Jon Hempel and Michéli, E.},
HowPublished = {online},
Language = {en-EN},
Month = {04},
Organization = {International Union of Soil Sciences and USDA National Resources Conservation Service},
Url = {http://soils.usda.gov/technical/classification/Univ_Soil_Classification_System/},
Year = {2013},
Keywords = {redemds;},
Owner = {lgcs-mds},
Timestamp = {2013.04.02}
}
@Article{HendershotEtAl1986,
Title = {A simple barium chloride method for determining cation exchange capacity and exchangeable cations},
Author = {Hendershot, William H. and Duquette, Martin},
Journal = {Soil Science Society of America Journal},
Pages = {605-608},
Volume = {50},
Year = {1986},
Number = {3},
Abstract = {Seventeen soil samples from acidic forest soils (Typic and Pergelic Cryorthods) and near-neutral agricultural soils (Typic Haplaquepts) were used in an experiment to compare three methods of determining cation exchange capacity (CEC). The methods tested are the sum of cations displaced with 0.1 M BaCl2, and exchangeable Ba after saturation with BaCl2 and replacement with either MgSO4 (compulsive exchange) or MgCl2. The results show that when Al, Mn, and Fe are included with Ca, Mg, Na, and K in the sum of cations, this method gives the same result as do the other methods. It is recommended that this simple one-step method be used in routine analysis of acidic soils, especially when nonagricultural lands are under investigation.},
Date = {1986},
Doi = {10.2136/sssaj1986.03615995005000030013x},
File = {HendershotEtAl1986.pdf:Soil Science Society of America Journal/1977_1986/HendershotEtAl1986.pdf:PDF},
Owner = {alessandro},
Timestamp = {29.08.2013},
Url = {https://www.soils.org/publications/sssaj/abstracts/50/3/605}
}
@Article{HendersonEtAl1981,
Title = {Building multiple regression models interactively},
Author = {Harold V. Henderson and Paul F. Velleman},
Journal = {Biometrics},
Pages = {391-411},
Volume = {37},
Year = {1981},
Abstract = {Automated multiple regression model-building techniques often hide important aspects of data from the data analyst. Such features as nonlinearity, collinearity, outliers, and points with high leverage can profoundly affect automated analyses, yet remain undetected. A n alternative technique uses interactive computing and exploratory methods to discover unexpected features of the data. One important advantage of this approach is that the data analyst can use knowledge of the subject matter in the resolution of difficulties. The methods are illustrated with reanalyses of the two data sets used by Hocking (1976, Biornetrics 32, 1-44) to illustrate the use of automated regression methods.},
File = {HendersonEtAl1981.pdf:Biometrics/HendersonEtAl1981.pdf:PDF},
Keywords = {redemds; Multicollinearity;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Manual{Hengl2014,
Title = {plot{KML}: visualization of spatial and spatio-temporal objects in {G}oogle {E}arth},
Author = {Tomislav Hengl},
Year = {2014},
Note = {{R} package version 0.4-4},
Abstract = {Writes sp-class, spacetime-class, raster-class and similar spatial and spatio-temporal objects to KML following some basic cartographic rules. Suitable for visualization of complete analysis outputs.},
File = {HenglEtAl2012a.pdf:HenglEtAl2012a.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.30},
Url = {http://CRAN.R-project.org/package=plotKML}
}
@Conference{Hengl2011,
Title = {Global Soil Mapper (Malawi case study)},
Author = {Hengl, Tomislav},
Booktitle = {GlobalSoilMap.net Workshop 2011. 20-24 JUNE 2011, European Commission , Joint Research Centre, ISPRA / ITALY},
Year = {2011},
File = {Hengl2011.pdf:Hengl2011.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.29}
}
@Conference{Hengl2011a,
Title = {Global Soil Information Facilities - a methodological framework for open soil information},
Author = {Hengl, Tomislav},
Booktitle = {Seminar at the Center for International Earth Science Information Network (CIESIN), Columbia University, Lamont Campus, New York. Sept 14 2011},
Year = {2011},
File = {Hengl2011a.pdf:Hengl2011a.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.29},
Url = {http://www.slideshare.net/thengl/introducing-gsif-seminar-at-lamont-campus}
}
@Conference{Hengl2011b,
Title = {Global Soil Information Facilities - software developments},
Author = {Hengl, Tomislav},
Booktitle = {GlobalSoilMap.net Workshop 2011. 20-24 JUNE 2011, European Commission , Joint Research Centre, ISPRA / ITALY},
Year = {2011},
File = {Hengl2011b.pdf:Hengl2011b.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.29},
Url = {http://www.slideshare.net/thengl/gsif-utilities}
}
@Conference{Hengl2011c,
Title = {Open Soil Profiles},
Author = {Hengl, Tomislav},
Booktitle = {GlobalSoilMap.net Workshop 2011. 20-24 JUNE 2011, European Commission , Joint Research Centre, ISPRA / ITALY},
Year = {2011},
File = {Hengl2011c.pdf:Hengl2011c.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.29}
}
@Conference{Hengl2011d,
Title = {Global Soil Information Facilities - a methodological framework for open soil information},
Author = {Hengl, Tomislav},
Booktitle = {Seminar at the Center for International Earth Science Information Network (CIESIN), Columbia University, Lamont Campus, New York. Sept 14 2011},
Year = {2011},
File = {Hengl2011d.pdf:Hengl2011d.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.29},
Url = {http://www.slideshare.net/thengl/introducing-gsif-seminar-at-lamont-campus}
}
@Conference{Hengl2010,
Title = {Auxiliary maps for Digital Soil Mapping FOSS software (R+SAGA+FWTools)},
Author = {Tomislav Hengl},
Booktitle = {Digital Soil Mapping training, JRC Ispra},
Year = {2010},
File = {Hengl2010.pdf:Hengl2010.pdf:PDF},
Keywords = {redemds;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.03}
}
@Book{Hengl2009,
Title = {A practical guide to geostatistical mapping},
Address = {Amsterdam},
Author = {Tomislav Hengl},
Pages = {165},
Publisher = {University of Amsterdam},
Year = {2009},
Edition = {1},
File = {Hengl2009.pdf:Book/Hengl2009.pdf:PDF},
Institution = {Institute for Environment and Sustainability},
ISBN = {978-90-9024981-0},
Keywords = {redemds},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://spatial-analyst.net/book/sites/default/files/Hengl_2009_GEOSTATe2c1w.pdf}
}
@Article{Hengl2006,
Title = {Finding the right pixel size},
Author = {Tomislav Hengl},
Journal = {Computers and Geosciences},
Pages = {1283 - 1298},
Volume = {32},
Year = {2006},
Number = {9},
Abstract = {This paper discusses empirical and analytical rules to select a suitable grid resolution for output maps and based on the inherent properties of the input data. The choice of grid resolution was related with the cartographic and statistical concepts: scale, computer processing power, positional accuracy, size of delineations, inspection density, spatial autocorrelation structure and complexity of terrain. These were further related with the concepts from the general statistics and information theory such as Nyquist frequency concept from signal processing and equations to estimate the probability density function. Selection of grid resolution was demonstrated using four datasets: (1) GPS positioning data-the grid resolution was related to the area of circle described by the error radius, (2) map of agricultural plots-the grid resolution was related to the size of smallest and narrowest plots, (3) point dataset from soil mapping-the grid resolution was related to the inspection density, nugget variation and range of spatial autocorrelation and (4) contour map used for production of digital elevation model-the grid resolution was related with the spacing between the contour lines i.e. complexity of terrain. It was concluded that no ideal grid resolution exists, but rather a range of suitable resolutions. One should at least try to avoid using resolutions that do not comply with the effective scale or inherent properties of the input dataset. Three standard grid resolutions for output maps were finally recommended: (a) the coarsest legible grid resolution-this is the largest resolution that we should use in order to respect the scale of work and properties of a dataset; (b) the finest legible grid resolution-this is the smallest grid resolution that represents 95% of spatial objects or topography; and (c) recommended grid resolution-a compromise between the two. Objective procedures to derive the true optimal grid resolution that maximizes the predictive capabilities or information content of a map are further discussed. This methodology can now be integrated within a GIS package to help inexperienced users select a suitable grid resolution without doing extensive data preprocessing.},
Doi = {http://www.sciencedirect.com/science/article/pii/S0098300405002657},
File = {:Computers and Geosciences/Hengl_Comput Geosci_2006.pdf:PDF},
Keywords = {Grid resolution; redemds}
}
@Phdthesis{Hengl2003,
Title = {Pedometric mapping - bridging the gaps between conventional and pedometric approaches},
Author = {Tomislav Hengl},
Pages = {252},
School = {Wageningen University},
Year = {2003},
Address = {Wageningen},
File = {Hengl2003.pdf:Hengl2003.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.25}
}
@InCollection{HenglEtAl2009,
Title = {Mathematical and digital models of the land surface},
Author = {Tomislav Hengl and I.S. Evans},
Booktitle = {Geomorphometry - concepts, software, applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {2},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {31-63},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {10.1016/S0166-2481(08)00002-0},
File = {HenglEtAl2009.pdf:HenglEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {conceptual models of the land surface; projection system; kriging; dem; Interpolation;},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Book{HenglEtAl2006,
Title = {The unofficial guide for authors (or how to produce research articles worth citing)},
Address = {Luxemburg},
Author = {Tomislav Hengl and Mike Gould},
Pages = {54},
Publisher = {Office for Official Publications of the European Communities},
Year = {2006},
Edition = {1},
Note = {EUR 22191 EN},
File = {HenglEtAl2006.pdf:HenglEtAl2006.pdf:PDF},
ISBN = {92-79-01703-9},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.10},
Url = {http://www.ueberfachliche-kompetenzen.uzh.ch/onlineRatgeber/PhD/EUR22191-2.pdf}
}
@Article{HenglEtAl2004,
Title = {A generic framework for spatial prediction of soil variables based on regression-kriging},
Author = {Tomislav Hengl and Gerard B.M. Heuvelink and Alfred Stein},
Journal = {Geoderma},
Pages = {75-93},
Volume = {120},
Year = {2004},
Abstract = {A methodological framework for spatial prediction based on regression-kriging is described and compared with ordinary kriging and plain regression. The data are first transformed using logit transformation for target variables and factor analysis for continuous predictors (auxiliary maps). The target variables are then fitted using step-wise regression and residuals interpolated using kriging. A generic visualisation method is used to simultaneously display predictions and associated uncertainty. The framework was tested using 135 profile observations from the national survey in Croatia, divided into interpolation (100) and validation sets (35). Three target variables: organic matter, pH in topsoil and topsoil thickness were predicted from six relief parameters and nine soil mapping units. Prediction efficiency was evaluated using the mean error and root mean square error (RMSE) of prediction at validation points. The results show that the proposed framework improves efficiency of predictions. Moreover, it ensured normality of residuals and enforced prediction values to be within the physical range of a variable. For organic matter, it achieved lower relative RMSE than ordinary kriging (53.3% versus 66.5%). For topsoil thickness, it achieved a lower relative RMSE (66.5% versus 83.3%) and a lower bias than ordinary kriging (0.15 versus 0.69 cm). The prediction of pH in topsoil was difficult with all three methods. This framework can adopt both continuous and categorical soil variables in a semi-automated or automated manner. It opens a possibility to develop a bundle algorithm that can be implemented in a GIS to interpolate soil profile data from existing datasets.},
Doi = {10.1016/j.geoderma.2003.08.018},
File = {:Geoderma/Hengl et al_Geoderma_2004.pdf:PDF},
Keywords = {Spatial prediction, Logit transformation, Factor analysis, Visualisation, Environmental correlation, redemds, stepwise},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{HenglEtAl2010,
Title = {On the uncertainty of stream networks derived from elevation data: the error propagation approach},
Author = {Hengl, Tomislavomislav and Heuvelink, Gerard B M and van Loon, E E},
Journal = {Hydrology and Earth System Sciences},
Pages = {1153-1165},
Volume = {14},
Year = {2010},
Number = {7},
Abstract = {DEM error propagation methodology is extended to the derivation of vector-based objects (stream networks) using geostatistical simulations. First, point sampled elevations are used to fit a variogram model. Next 100 DEM realizations are generated using conditional sequential Gaussian simulation; the stream network map is extracted for each of these realizations, and the collection of stream networks is analyzed to quantify the error propagation. At each grid cell, the probability of the occurrence of a stream and the propagated error are estimated. The method is illustrated using two small data sets: Baranja hill (30 m grid cell size; 16 512 pixels; 6367 sampled elevations), and Zlatibor (30 m grid cell size; 15 000 pixels; 2051 sampled elevations). All computations are run in the open source software for statistical computing R: package geoR is used to fit variogram; package gstat is used to run sequential Gaussian simulation; streams are extracted using the open source GIS SAGA via the RSAGA library. The resulting stream error map (Information entropy of a Bernoulli trial) clearly depicts areas where the extracted stream network is least precise ? usually areas of low local relief and slightly convex (0?10 difference from the mean value). In both cases, significant parts of the study area (17.3% for Baranja Hill; 6.2% for Zlatibor) show high error (H>0.5) of locating streams. By correlating the propagated uncertainty of the derived stream network with various land surface parameters sampling of height measurements can be optimized so that delineated streams satisfy the required accuracy level. Such error propagation tool should become a standard functionality in any modern GIS. Remaining issue to be tackled is the computational burden of geostatistical simulations: this framework is at the moment limited to small data sets with several hundreds of points. Scripts and data sets used in this article are available on-line via the www.geomorphometry.org website and can be easily adopted/adjusted to any similar case study.},
Doi = {10.5194/hess-14-1153-2010},
File = {HenglEtAl2010.pdf:HenglEtAl2010.pdf:PDF},
Keywords = {redemds}
}
@Article{HenglEtAl2012b,
Title = {Spatio-temporal prediction of daily temperatures using time-series of {MODIS} {LST} images},
Author = {Hengl, Tomislav and Heuvelink, Gerard B. M. and Perčec Tadić, Melita and Pebesma, Edzer J.},
Journal = {Theoretical and Applied Climatology},
Pages = {265–277},
Volume = {107},
Year = {2012},
Month = {Jan},
Number = {1-2},
Doi = {10.1007/s00704-011-0464-2},
File = {HenglEtAl2012b.pdf:HenglEtAl2012b.pdf:PDF},
ISSN = {1434-4483},
Keywords = {PCA; principal components; dimensionality; multicollinearity; PhDpaper1},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{HenglEtAl2007b,
Title = {About regression-kriging: from equations to case studies},
Author = {Tomislav Hengl and Gerard B M Heuvelink and David G. Rossiter},
Journal = {Computers \& Geosciences},
Pages = {1301-1315},
Volume = {33},
Year = {2007},
Number = {10},
Abstract = {This paper discusses the characteristics of regression-kriging (RK), its strengths and limitations, and illustrates these with a simple example and three case studies. RK is a spatial interpolation technique that combines a regression of the dependent variable on auxiliary variables (such as land surface parameters, remote sensing imagery and thematic maps) with simple kriging of the regression residuals. It is mathematically equivalent to the interpolation method variously called “Universal Kriging” (UK) and “Kriging with External Drift” (KED), where auxiliary predictors are used directly to solve the kriging weights. The advantage of RK is the ability to extend the method to a broader range of regression techniques and to allow separate interpretation of the two interpolated components. Data processing and interpretation of results are illustrated with three case studies covering the national territory of Croatia. The case studies use land surface parameters derived from combined Shuttle Radar Topography Mission and contour-based digital elevation models and multitemporal-enhanced vegetation indices derived from the MODIS imagery as auxiliary predictors. These are used to improve mapping of two continuous variables (soil organic matter content and mean annual land surface temperature) and one binary variable (presence of yew). In the case of mapping temperature, a physical model is used to estimate values of temperature at unvisited locations and RK is then used to calibrate the model with ground observations. The discussion addresses pragmatic issues: implementation of RK in existing software packages, comparison of RK with alternative interpolation techniques, and practical limitations to using RK. The most serious constraint to wider use of RK is that the analyst must carry out various steps in different software environments, both statistical and GIS.},
Doi = {10.1016/j.cageo.2007.05.001},
File = {HenglEtAl2007b.pdf:HenglEtAl2007b.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Spatial prediction}
}
@Article{HenglEtAl2006a,
Title = {Evaluating adequacy and usability of soil maps in {C}roatia},
Author = {Hengl, Tomislav and Husnjak, Stjepan},
Journal = {Soil Science Society of America Journal},
Pages = {920-929},
Volume = {70},
Year = {2006},
Number = {3},
Doi = {10.2136/sssaj2004.0141},
File = {HenglEtAl2006a.pdf:HenglEtAl2006a.pdf:PDF},
ISSN = {1435-0661},
Keywords = {Effective; Scale;},
Owner = {alessandro},
Publisher = {Soil Science Society of America}
}
@Article{HenglEtAl2014,
Title = {Soil{G}rids1km -- global soil information based on automated mapping},
Author = {Hengl, Tomislav and de Jesus, Jorge Mendes and MacMillan, Robert A. and Batjes, Niels H. and Heuvelink, Gerard B. M. and Ribeiro, Eloi and Samuel-Rosa, Alessandro and Kempen, Bas and Leenaars, Johan G. B. and Walsh, Markus G. and et al.},
Journal = {PLoS ONE},
Pages = {e105992},
Volume = {9},
Year = {2014},
Month = {Aug},
Number = {8},
Doi = {10.1371/journal.pone.0105992},
Editor = {Bond-Lamberty, BenEditor},
File = {HenglEtAl2014.pdf:HenglEtAl2014.pdf:PDF},
ISSN = {1932-6203},
Owner = {alessandro},
Publisher = {Public Library of Science (PLoS)}
}
@Manual{HenglEtAl2013,
Title = {GSIF - Global Soil Information Facilities},
Address = {Wageningen},
Author = {Tomislav Hengl and Bas Kempen and Gerard B M Heuvelink},
Publisher = {ISRIC – World Soil Information},
Year = {2013},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.07},
Url = {http://gsif.isric.org/doku.php?id=wiki:tutorial_eberg}
}
@InCollection{HenglEtAl2009a,
Title = {Geomorphometry in ILWIS},
Author = {Tomislav Hengl and B.H.P. Maathuis and L. Wang},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {13},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {309 - 331},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00013-5},
File = {HenglEtAl2009a.pdf:HenglEtAl2009a.pdf:PDF},
ISSN = {0166-2481},
Keywords = {first steps in ILWIS},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-R/2/a88c412fb293a42f75fe3622b49e90e6}
}
@InCollection{HenglEtAl2009b,
Title = {Geomorphometry - a key to landscape mapping and modelling},
Author = {Tomislav Hengl and R.A. MacMillan},
Booktitle = {Geomorphometry - concepts, software, applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {19},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {433 - 460},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00019-6},
File = {HenglEtAl2009b.pdf:HenglEtAl2009b.pdf:PDF},
ISSN = {0166-2481},
Keywords = {importance of DEMs for mapping natural landscapes},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-Y/2/b6902e567440d7b5dd81819ebccded65}
}
@Book{HenglEtAl2012,
Title = {Global Soil Information Facilities (GSIF) - a methodological framework for open soil information},
Author = {Hengl, Tomislavomislav and McMillan, Robert A and Walsh, M and Reuter, Hannes I},
Year = {2012},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.25}
}
@Article{HenglEtAl2009c,
Title = {A geostatistical analysis of geostatistics},
Author = {Tomislav Hengl and Budiman Minasny and Michael Gould},
Journal = {Scientometrics},
Pages = {491-514},
Volume = {80},
Year = {2009},
Abstract = {The bibliometric indices of the scientific field of geostatistics were analyzed using statistical and spatial data analysis. The publications and their citation statistics were obtained from the Web of Science (4000 most relevant), Scopus (2000 most relevant) and Google Scholar (5389). The focus was on the analysis of the citation rate (CR), i.e. number of citations an author or a library item receives on average per year. This was the main criterion used to analyze global trends in geostatistics and to extract the Top 25 most-cited lists of the research articles and books in geostatistics. It was discovered that the average citation rate for geostatisticians has stabilized since 1999, while the authors? n-index seems to have declined ever since. One reason for this may be because there are more and more young authors with a lower n-index. We also found that the number of publications an author publishes explains only 60% of the variation in the citation statistics and that this number progressively declines for an author with a lower number of publications. Once the geographic location is attached to a selection of articles, an isotropic Gaussian kernel smoother weighted by the CR can be used to map scientific excellence around the world. This revealed clusters of scientific excellence around locations such as Wageningen, London, Utrecht, Hampshire, UK, Norwich, Paris, Louvain, Barcelona, and Zürich (Europe); Stanford, Ann Arbor, Tucson, Corvallis, Seattle, Boulder, Montreal, Baltimore, Durham, Santa Barbara and Los Angeles (North America); and Canberra, Melbourne, Sydney, Santiago (Chile), Taipei, and Beijing (other continents). Further correlation with socio-economic variables showed that the spatial distribution of CRs in geostatistics is independent of the night light image (which represents economic activity) and population density. This study demonstrates that the commercial scientific indexing companies could enhance their service by assigning the geographical location to library items to allow spatial exploration and analysis of bibliometric indices.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.springerlink.com/index/e76k2u7085346315.pdf}
}
@Article{HenglEtAl2013a,
Title = {Mapping efficiency and information content},
Author = {Hengl, T. and Nikolic, M. and MacMillan, R. A.},
Journal = {International Journal of Applied Earth Observation and Geoinformation},
Pages = {127-138},
Volume = {22},
Year = {2013},
Doi = {fscull},
Ee = {http://dx.doi.org/10.1016/j.jag.2012.02.005},
File = {HenglEtAl2013a.pdf:HenglEtAl2013a.pdf:PDF},
Groups = {public},
Interhash = {669c009ac055e5d453867a3d8b15f49e},
Intrahash = {e2e583d93b219f996abc1e40c81c82e8},
Keywords = {pedometrics},
Timestamp = {2014-01-23 01:52:13},
Username = {samuel-rosa}
}
@Techreport{HenglEtAl2007,
Title = {Status and prospect of soil information in south-eastern Europe: soil databases, projects and applications},
Author = {Tomislav Hengl and Panos Panagos and Arwyn Jones and Gergely Tóth},
Pages = {189},
Year = {2007},
File = {:techreport/Hengl et al_Report_2007b.pdf:PDF},
Institution = {European Commission, Directorate-General Joint Research Centre, Institute for Environment and Sustainability},
Owner = {Alessandro},
Timestamp = {2011.02.15},
Url = {http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/esb_rr/EUR22646EN.pdf}
}
@Conference{HenglEtAl2011,
Title = {Worldgrids.org - building global covariates for automated mapping},
Author = {Hengl, Tomislav and Reuter, Hannes I},
Booktitle = {First Conference on Spatial Statistics. 23-25 March 2011},
Year = {2011},
Address = {Enschede},
File = {HenglEtAl2011a.pdf:HenglEtAl2011a.pdf:PDF},
Institution = {University of Twente},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.29},
Url = {http://www.slideshare.net/thengl/worldgridsorg-building-global-covariates-for-automated-mapping}
}
@Book{HenglEtAl2009d,
Title = {Geomorphometry - concepts, software, applications},
Address = {Amsterdam},
Author = {Tomislav Hengl and Hannes I. Reuter},
Pages = {765},
Publisher = {Elsevier},
Year = {2009},
Series = {Developments in Soil Science},
Doi = {DOI: 10.1016/S0166-2481(08)00033-0},
File = {HenglEtAl2009d.pdf:HenglEtAl2009d.pdf:PDF},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-19/2/6969585524b00d6a477e626f6022667a}
}
@Article{HenglEtAl2003,
Title = {Supervised landform classification to enhance and replace photo-interpretation in semi-detailed soil survey},
Author = {Hengl, Tomislav. and Rossiter, David G},
Journal = {Soil Science Society of America Journal},
Pages = {1810-1822},
Volume = {67},
Year = {2003},
Doi = {10.2136/sssaj2003.1810},
File = {HenglEtAl2003.pdf:Soil Science Society of America Journal/HenglEtAl2003.pdf:PDF},
Keywords = {principal component regression, redemds},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.05.03}
}
@Article{HenglEtAl2003a,
Title = {Soil sampling strategies for spatial prediction by correlation with auxiliary maps},
Author = {Hengl, Tomislav and Rossiter, David G. and Stein, Alfred},
Journal = {Australian Journal of Soil Research},
Pages = {1403-1422},
Volume = {41},
Year = {2003},
Number = {8},
Doi = {10.1071/SR03005},
File = {HenglEtAl2003a.pdf:HenglEtAl2003a.pdf:PDF},
Keywords = {response surface design, soil survey, general least squares, feature space, principal components; space filling sampling;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.08}
}
@Article{HenglEtAl2009e,
Title = {Spatial prediction of species’ distributions from occurrence-only records: combining point pattern analysis, ENFA and regression-kriging},
Author = {Hengl, Tomislav and Sierdsema, Henk and Radović, Andreja and Dilo, Arta},
Journal = {Ecological Modelling},
Pages = {3499-3511},
Volume = {220},
Year = {2009},
Number = {24},
Abstract = {A computational framework to map species’ distributions (realized density) using occurrence-only data and environmental predictors is presented and illustrated using a textbook example and two case studies: distribution of root vole (Microtes oeconomus) in the Netherlands, and distribution of white-tailed eagle nests (Haliaeetus albicilla) in Croatia. The framework combines strengths of point pattern analysis (kernel smoothing), Ecological Niche Factor Analysis (ENFA) and geostatistics (logistic regression-kriging), as implemented in the spatstat, adehabitat and gstat packages of the R environment for statistical computing. A procedure to generate pseudo-absences is proposed. It uses Habitat Suitability Index (HSI, derived through ENFA) and distance from observations as weight maps to allocate pseudo-absence points. This design ensures that the simulated pseudo-absences fall further away from the occurrence points in both feature and geographical spaces. The simulated pseudo-absences can then be combined with occurrence locations and used to build regression-kriging prediction models. The output of prediction are either probabilitiesy of species’ occurrence or density measures. Addition of the pseudo-absence locations has proven effective — the adjusted R-square increased from 0.71 to 0.80 for root vole (562 records), and from 0.69 to 0.83 for white-tailed eagle (135 records) respectively; pseudo-absences improve spreading of the points in feature space and ensure consistent mapping over the whole area of interest. Results of cross validation (leave-one-out method) for these two species showed that the model explains 98% of the total variability in the density values for the root vole, and 94% of the total variability for the white-tailed eagle. The framework could be further extended to Generalized multivariate Linear Geostatistical Models and spatial prediction of multiple species. A copy of the R script and step-by-step instructions to run such analysis are available via contact author’s website.},
File = {HenglEtAl2009e.pdf:HenglEtAl2009e.pdf:PDF},
ISSN = {0304-3800},
Keywords = {ppp; point pattern analysis; subsampling;},
Owner = {alessandro},
Timestamp = {07.11.2013},
Url = {http://dx.doi.org/10.1016/j.ecolmodel.2009.06.038}
}
@Article{HenglEtAl2007a,
Title = {Methods to interpolate soil categorical variables from profile observations: lessons from Iran},
Author = {Tomislav Hengl and N. Toomanian and H. I. Reuter and M. J. Malakouti},
Journal = {Geoderma},
Pages = {417-427},
Volume = {140},
Year = {2007},
Note = {<ce:title>Pedometrics 2005</ce:title>},
Number = {4},
Doi = {10.1016/j.geoderma.2007.04.022},
File = {HenglEtAl2007a.pdf:Geoderma/HenglEtAl2007a.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Categorical variables; Concept; Multicollinearity; Principal Components;}
}
@Inproceedings{HerEtAl2008,
Title = {Assessment of interpolation methods for refining SRTM and DEM},
Author = {Younggu Her and Conrad Heatwole},
Year = {2008},
File = {HerEtAl2008.pdf:HerEtAl2008.pdf:PDF},
Keywords = {DEM Interpolation;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Article{Heuvelink2000,
Title = {Interpolation of Spatial Data: Some Theory for Kriging},
Author = {Heuvelink, G.B.M},
Journal = {Geoderma},
Pages = {153–154},
Volume = {96},
Year = {2000},
Month = {May},
Number = {1-2},
Doi = {10.1016/s0016-7061(00)00010-0},
File = {Heuvelink2000.pdf:Heuvelink2000.pdf:PDF},
ISSN = {0016-7061},
Keywords = {REML; Matérn;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@InCollection{HeuvelinkEtAl2014,
Title = {Spatial uncertainty propagation analysis},
Author = {Gerard Heuvelink and Sytze de Bruin},
Publisher = {Laboratory of geo-information science and remote sensing},
Year = {2014},
File = {HeuvelinkEtAl2014.pdf:HeuvelinkEtAl2014.pdf:PDF}
}
@Article{HeuvelinkEtAl2001,
Title = {Modelling soil variation: past, present, and future},
Author = {G.B.M Heuvelink and R Webster},
Journal = {Geoderma},
Pages = {269-301},
Volume = {100},
Year = {2001},
Number = {3-4},
Abstract = {The soil mantles the land, except where there is bare rock or ice, and it varies more or less continuously. Many of its properties change continuously in time, too. We can measure the soil at only a finite number of places and times on small supports, and any statement concerning the soil at other places or times involves prediction. Variation in soil is also complex, so complex that no description of it can be complete, and so prediction is inevitably uncertain. Soil scientists should be able to quantify this uncertainty, and manage it. This means representing the variation by models that may be in part deterministic, but cannot be wholly so; they must have some random element to represent the unpredictable variation. Here we review three families of statistically based models of soil variation that are currently in use and trace their development since the mid-1960s. In particular, we consider classification and geostatistics for modelling the spatial variation, time series analysis and physically based approaches for modelling temporal variation, and space?time Kalman filtering for predicting soil conditions in space and time simultaneously. Each of these attaches to its predictions quantitative estimates of the prediction errors. Past, present and future research has been, is, and will be directed to the development of models that diminish these errors. A challenge for the future is to investigate approaches that merge process knowledge with measurements. For soil survey, this would be achieved by integration of pedogenetic knowledge and field observations through the use of data assimilation techniques, such as the space?time Kalman filter.},
Doi = {10.1016/S0016-7061(01)00025-8},
File = {HeuvelinkEtAl2001.pdf:Geoderma/HeuvelinkEtAl2001.pdf:PDF},
ISSN = {0016-7061},
Keywords = {redemds; PhDpaper1}
}
@Inproceedings{Heuvelink2012,
Title = {Statistical framework for simultaneous handling of input, parameter, model and observational error in spatial uncertainty analysis},
Author = {Gerard B.M. Heuvelink},
Booktitle = {Accuracy 2012 - International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences},
Editor = {Carlos Vieira and Vania Bogorny and Arthur Ribeiro Aquino},
Pages = {333-334},
Publisher = {Federal University of Santa Catarina/State University of Santa Catarina},
Year = {2012},
Address = {Florianópolis},
Volume = {10},
Institution = {Federal University of Santa Catarina and State University of Santa Catarina},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.18},
Url = {http://www.spatial-accuracy.org/Accuracy2012}
}
@InCollection{HeuvelinkEtAl2007b,
Title = {Towards a soil information system for uncertain soil data},
Author = {Gerard B.M. Heuvelink and James D. Brown},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2007},
Chapter = {8},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {97 - 106},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Understanding the limitations of soil data is essential for both managing environmental systems effectively and encouraging the responsible use of soil data. Explicit assessment of the uncertainties associated with soil data, and their storage in a soil database are therefore important. In practice, users will not want to separate [`]uncertain data' from [`]certain data' and will therefore require a single database that meets all the requirements of a conventional database, as well as the ability to handle uncertain data specifically. This chapter presents a framework that facilitates the storage of information about soil-data quality, including the uncertainties associated with soil data, in a conventional database design. It comprises a methodology for classifying data according to their attribute scale, which influences the structure of an uncertainty model, and their space-time variability, which determines the need for autocorrelation functions in describing uncertainty. In terms of the former, the key distinctions are among real numbers on a continuous domain, real or integer numbers on a discrete domain, categorical data and narrative data. In terms of the latter, the key distinctions are among data that are constant in space and time (e.g. universal constants); data that vary in time, but not in space; data that vary in space but not in time; and data that vary both in time and space. Thus, we distinguish 13 [`]data types' to which individual datasets may be assigned. This simplifies the process of assessing uncertainties about soil data because characteristic uncertainty models can be defined for each data type. In general terms, an uncertain soil variable is completely specified by its probability distribution function (pdf). However, the complexity of a pdf varies with the 13 [`]data types' identified. For example, the (cumulative) pdf of an uncertain numerical constant is simply a nondecreasing function on the real line. The database stores this function or some parameters of it, such as the mean and variance. Other data types are associated with more complex pdfs. For example, an uncertain categorical soil map requires the probability of each soil type occurring at any location to be defined (local uncertainty), as well as the spatial dependencies between these probabilities at multiple locations (spatial uncertainty). In practice, the complexity of the joint pdf will make it difficult or impossible to identify. Assumptions (such as a stationarity assumption) are therefore required to reduce the number of model parameters.},
Doi = {DOI: 10.1016/S0166-2481(06)31008-2},
File = {:Developments in Soil Science/Heuvelink_Dev Soil Sci_2006b.pdf:PDF},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-H/2/fad4516278b54d899a1f6d543b6f3380}
}
@Article{HeuvelinkEtAl2010,
Title = {Uncertainty and stochastic sensitivity analysis of the {GeoPEARL} pesticide leaching model},
Author = {Heuvelink, Gerard B.M. and Burgers, S.L.G.E. and Tiktak, A. and {VAN DER BERG}, F.},
Journal = {Geoderma},
Pages = {186 - 192},
Volume = {155},
Year = {2010},
Number = {3?4},
Abstract = {GeoPEARL is a spatially distributed model describing the fate of pesticides in the soil?plant system. It calculates the drainage of pesticides to local surface waters and the leaching into groundwater. GeoPEARL plays an important role in the evaluation of Dutch pesticide policy plans. This study analysed how uncertainties in soil and pesticide properties propagate through GeoPEARL for three representative pesticides. The GeoPEARL output considered is the 90th percentile of the spatial distribution of the temporal median of the leaching concentration (P90). The uncertain pesticide properties are the coefficient of sorption on organic matter and the half-life of transformation in soil. Both were assumed uncorrelated in space and were represented by lognormal probability distributions. Uncertain soil properties considered were horizon thickness, texture, organic matter content, hydraulic conductivity and the water retention characteristic. Probability distributions were derived from meta-data stored in the Dutch soil information system. A regular grid sample of 258 points covering the agricultural area in the Netherlands was randomly selected. At the grid nodes, realizations from the probability distributions of uncertain inputs were generated and used as input to a Monte Carlo uncertainty propagation analysis. The results show large uncertainties in P90, with interquartile ranges larger than the median for all three pesticides. Taking input uncertainty into account also leads to a systematic shift of the P90 towards greater values. Stochastic sensitivity analysis showed that the pesticide half-life is the main source of uncertainty and that the coefficient of sorption to organic matter and uncertainty in soil organic matter contribute to a lesser extent. Uncertainty contributions from other soil properties were negligible. These results suggest that improved assessment of soil properties will only marginally improve the accuracy of the predicted pesticide leaching. Instead, more accurate assessment of the pesticide properties, in particular the pesticide half-life, is required. This is, however, difficult, because the pesticide half-life depends on highly variable soil microbial properties in a way that is as yet poorly understood.},
Doi = {10.1016/j.geoderma.2009.07.004},
File = {HeuvelinkEtAl2010.pdf:HeuvelinkEtAl2010.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Error propagation, Monte Carlo, Stochastic simulation, Spatial aggregation; redemds}
}
@Inbook{Heuvelink2005,
Title = {Propagation of error in spatial modelling with {GIS}},
Author = {G B M Heuvelink},
Editor = {Paul A. Longley and Michael F. Goodchild and David J. Maguire and David W. Rhind},
Pages = {207–217},
Publisher = {Wiley},
Year = {2005},
Chapter = {14},
Edition = {2},
File = {Heuvelink2005.pdf:Heuvelink2005.pdf:PDF},
ISBN = {978-0-471-73545-8},
Url = {http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0471735450.html}
}
@Article{Heuvelink2003,
Title = {From the chair},
Author = {Heuvelink, Gerard B M},
Journal = {Pedometron},
Pages = {1-2},
Volume = {15},
Year = {2003},
File = {:Pedometron/HeuvelinkEtAl2003.pdf:PDF},
Keywords = {redemds},
Owner = {pccli},
Timestamp = {2011.12.26},
Url = {http://www.pedometrics.org/pedometron/pedometron15.pdf}
}
@Article{Heuvelink2003a,
Title = {The definition of pedometrics},
Author = {Heuvelink, Gerard B. M.},
Journal = {Pedometron},
Pages = {11-12},
Volume = {15},
Year = {2003},
File = {:Pedometron/HeuvelinkEtAl2003.pdf:PDF},
Keywords = {redemds},
Owner = {pccli},
Timestamp = {2011.12.26},
Url = {http://www.pedometrics.org/pedometron/pedometron15.pdf}
}
@Article{Heuvelink2003b,
Title = {The definition of pedometrics},
Author = {Heuvelink, Gerard B. M.},
Journal = {Pedometron},
Pages = {2-3},
Volume = {14},
Year = {2003},
File = {Heuvelink2003b.pdf:Heuvelink2003b.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2011.12.26}
}
@Article{Heuvelink2003c,
Title = {What is pedometrics?},
Author = {Heuvelink, Gerard B. M.},
Journal = {Pedometron},
Pages = {6-7},
Volume = {13},
Year = {2003},
File = {Heuvelink2003c.pdf:Heuvelink2003c.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2011.12.26}
}
@Article{Heuvelink1998,
Title = {Uncertainty analysis in environmental modelling under a change of spatial scale},
Author = {Heuvelink, Gerard B. M.},
Journal = {Nutrient Cycling in Agroecosystems},
Pages = {255-264},
Volume = {50},
Year = {1998},
Note = {10.1023/A:1009700614041},
Abstract = {Although environmental processes at large scales are to a great degree the resultant of processes at smaller scales, models representing these processes can vary considerably from scale to scale. There are three main reasons for this. Firstly, different processes dominate at different scales, and so different processes are ignored in the simplification step of the model development. Secondly, input data are often absent or of a much lower quality at larger scales, which results in a tendency to use simpler, empirical models at the larger scale. Third, the support of the inputs and outputs of a model changes with change of scale, and this affects the relationships between them. Given these reasons for using different models at different scales, application of a model developed at a specific scale to a larger scale should be treated with care. Instead, models should be modified to suit the larger scale, and for this purpose uncertainty analyses can be extremely helpful. If upscaling disturbed the balance between the contributions of input and model error to the output error, then an uncertainty analysis will show this. Uncertainty analysis will also show how to restore the balance. In practice, application of uncertainty analysis is severely hampered by difficulties in the assessment of input and model error. Knowledge of the short distance spatial variability is of paramount importance to input error assessment with a change of support, but current geographical databases rarely convey this type of information. Model error can only be estimated reliably by validation, but this is not easy because the support of model predictions and validation measurements is usually not the same.},
Doi = {10.1023/A:1009700614041},
File = {Heuvelink1998a.pdf:Heuvelink1998a.pdf:PDF},
ISSN = {1385-1314},
Issue = {1},
Keyword = {Earth and Environmental Science},
Keywords = {redemds; Support; Spatial; Scale; Resolution; Pedometrics; DSM;},
Publisher = {Springer Netherlands}
}
@Book{Heuvelink1998a,
Title = {Error propagation in environmental modelling with GIS},
Address = {Boca Raton},
Author = {Gerard B. M. Heuvelink},
Pages = {127},
Publisher = {Taylor and Francis},
Year = {1998},
Edition = {1},
Abstract = {GIS users and professionals are aware that the accuracy of GIS results cannot be naively based on the quality of the graphical output. Data stored in a GIS will have been collected or measured, classified, generalised, interpreted or estimated, and in all cases this allows the introduction of errors.; With the processing of translation of this data into the GIS itself further propagation or amplification or errors also occur. It is essential that GIS professionals understand these issues systematically if they are to build ever more accurate systems.; In this book the authors decade of study into these problems is brought into focus with an account of the development, application and implementation of error propagation techniques for use in environmental modelling with GIS. Its purpose is to provide a methodology for handling error and error propagation.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.18}
}
@Article{Heuvelink1996,
Title = {Identification of field attribute error under different models of spatial variation},
Author = {Heuvelink, Gerard B. M.},
Journal = {International journal of geographical information systems},
Pages = {921–935},
Volume = {10},
Year = {1996},
Month = {Dec},
Number = {8},
Doi = {10.1080/02693799608902117},
File = {Heuvelink1996.pdf:Heuvelink1996.pdf:PDF},
ISSN = {0269-3798},
Publisher = {Informa UK Limited}
}
@Conference{HeuvelinkEtAl2011,
Title = {Geostatistical optimization of spatial sampling designs},
Author = {Gerard B M Heuvelink and Olivier Baume and Stephanie Melles},
Booktitle = {GEOSTATS 2011},
Year = {2011},
Address = {Landau},
Organization = {University of Koblenz-Landau},
Publisher = {GEOSTAT-COURSE.ORG},
Abstract = {Objective: Optimization of spatial sampling designs is concerned with choice of the number and spatial configuration of observation locations. These must be chosen such that a pre-defined criterion is optimized. In this workshop you will learn about the various criteria that may be used and the many numerical algorithms that have been developed to seek an optimal design. General description: This workshop provides theory of spatial sampling design optimization and illustrates it with real-world applications, some of which you will have to execute yourself. Required back-ground knowledge: Intermediate level of mathematics and statistics, as well as basic level of geostatistics (you must know about the semivariogram, kriging and kriging variance).},
File = {HeuvelinkEtAl2011.pdf:HeuvelinkEtAl2011.pdf:PDF},
Owner = {alessandro},
Timestamp = {27.06.2013},
Url = {http://geostat-course.org/Topic_Heuvelink_2011}
}
@Article{HeuvelinkEtAl2007a,
Title = {A probabilistic framework for representing and simulating uncertain environmental variables},
Author = {Heuvelink, Gerard B M and Brown, J. D. and {VAN LOON}, E. E.},
Journal = {International Journal of Geographical Information Science},
Pages = {497-513},
Volume = {21},
Year = {2007},
Number = {5},
Abstract = {Understanding the limitations of environmental data is important for managing environmental systems effectively and for encouraging the responsible use of uncertain data. Explicit assessment of the uncertainties associated with environmental data, and their storage in a database, are therefore important. This paper presents a statistical framework for representing and simulating uncertain environmental variables. In general terms, an uncertain variable is completely specified by its probability distribution function (pdf). Pdfs are developed for objects with uncertain locations (?positional uncertainty?) and uncertain attribute values (?attribute uncertainty?). Objects comprising multiple space?time locations are separated into ?rigid objects?, where positional uncertainty cannot alter the internal geometry of the object, and ?deformable? objects, where positional uncertainty can vary between locations in one object. Statistical dependence is allowed between uncertainties in multiple locations in one object. The uncertainties associated with attribute values are also modelled with pdfs. The type and complexity of these pdfs depend upon the measurement scale and the space?time variability of the uncertain attribute. The framework is illustrated with examples. A prototype software tool for assessing uncertainties in environmental data, storing them within a database, and for generating realizations for use in Monte Carlo studies is also presented.},
Doi = {10.1080/13658810601063951},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/13658810601063951},
File = {HeuvelinkEtAl2007.pdf:HeuvelinkEtAl2007.pdf:PDF},
Keywords = {redemds}
}
@InCollection{HeuvelinkEtAl2006,
Title = {Optimization of sample configurations for digital mapping of soil properties with universal kriging},
Author = {Heuvelink, Gerard B. M. and Brus, Dick J. and de Gruijter, Jaap J.},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {11},
Editor = {P. Lagacherie and A.B. McBratney and M. Voltz},
Pages = {137–151},
Volume = {31},
Doi = {10.1016/s0166-2481(06)31011-2},
File = {HeuvelinkEtAl2006.pdf:HeuvelinkEtAl2006.pdf:PDF},
ISBN = {http://id.crossref.org/isbn/9780444529589},
ISSN = {0166-2481},
Journal = {Digital Soil Mapping - An Introductory Perspective},
Keywords = {Sampling; Pedometrics; DSM; Optimization; Design; Simulated; Annealing;},
Owner = {alessandro}
}
@Article{HeuvelinkEtAl1989,
Title = {Propagation of errors in spatial modelling with {GIS}},
Author = {Heuvelink, Gerard B. M. and Burrough, Peter A. and Stein, Alfred},
Journal = {International journal of geographical information systems},
Pages = {303-322},
Volume = {3},
Year = {1989},
Number = {4},
Abstract = {Abstract Methods are needed for monitoring the propagation of errors when spatial models are driven by quantitative data stored in raster geographical information systems. This paper demonstrates how the standard stochastic theory of error propagation can be extended and applied to continuously differentiable arithmetic operations (quantitative models) for manipulating gridded map data. The statistical methods have been programmed using the Taylor series expansion to approximate the models. Model inputs are (a) model coefficients and their standard errors and (b) maps of continuous variables and the associated prediction errors, which can be obtained by optimal interpolation from point data. The model output is a map that is accompanied by a map of prediction errors. The relative contributions of the errors in the inputs (model coefficients, maps of individual variables) can be determined and mapped separately allowing judgments to be made about subsequent survey optimization. The methods are illustrated by two case studies.},
Doi = {10.1080/02693798908941518},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/02693798908941518},
File = {HeuvelinkEtAl1989.pdf:HeuvelinkEtAl1989.pdf:PDF},
Keywords = {redemds, regression}
}
@Article{HeuvelinkEtAl2010a,
Title = {Optimization of mobile radioactivity monitoring networks},
Author = {Heuvelink, G. B. M. and Jiang, Z. and De Bruin, S. and Twenhofel, C. J. W.},
Journal = {International Journal of Geographical Information Science},
Pages = {365-382},
Volume = {24},
Year = {2010},
Month = {Mar},
Number = {3},
__markedentry = {[alessandro:3]},
Doi = {10.1080/13658810802646687},
File = {HeuvelinkEtAl2010a.pdf:HeuvelinkEtAl2010a.pdf:PDF},
ISSN = {1365-8816},
Owner = {alessandro},
Publisher = {Informa UK Limited},
Timestamp = {08.04.2015}
}
@Article{HeuvelinkEtAl1999,
Title = {Spatial aggregation and soil process modelling},
Author = {Gerard B. M. Heuvelink and Edzer J. Pebesma},
Journal = {Geoderma},
Pages = {47-65},
Volume = {89},
Year = {1999},
Number = {1?2},
Abstract = {Nonlinear soil process models that are defined and calibrated at the point support cannot at the same time be valid at the block support. This means that in the situation where model input is available at point support and where model output is required at block support, spatial aggregation should take place after the model is run. Although block kriging does both in one pass, it is sensible to separate spatial aggregation from spatial interpolation. Contrary to aggregation, interpolation should better take place before the model is run because this enables a more efficient use of the spatial distribution characteristics of individual inputs. When a model is run with interpolated inputs, it is important not to ignore the interpolation error. Substituting conditional expectations in place of probability distributions into a nonlinear model leads to bias, essentially for the same reason that aggregating inputs prior to running a model is not the same as aggregating the output after the model is run. Running a model with inputs that are probability distributions will usually call for a Monte Carlo simulation approach. This causes a substantial increase in the numerical load, but apart from eliminating bias, an important advantage is that it shows how uncertainties in model inputs propagate to the model output. Many models used in soil science suffer not only from input error but also from model error, which is support- and case-dependent. Case dependency implies that model error can only be assessed realistically through validation. A major problem in validation is that the validation data are often collected at a much smaller support than the aggregated model predictions.},
Doi = {10.1016/S0016-7061(98)00077-9},
File = {HeuvelinkEtAl1999.pdf:HeuvelinkEtAl1999.pdf:PDF},
ISSN = {0016-7061},
Keywords = {soil process modelling; uncertainty analysis; Support; Kriging; Monte Carlo simulation; validation; redemds; Resolution; Scale; Pedometrics; DSM;}
}
@InCollection{HewittEtAl2010,
Title = {Soilscapes Basis for Digital Soil Mapping in New Zealand},
Author = {Hewitt, A.E. and Barringer, J.R.F. and Forrester, G.J. and McNeill, S.J.},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {297-307},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_24},
File = {HewittEtAl2010.pdf:HewittEtAl2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {Legacy data; Soilscapes; Digital soil mapping},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_24}
}
@Article{Heywood1983,
Title = {The mythology of taxonomy},
Author = {Heywood, V.H.},
Journal = {Transactions of the Botanical Society of Edinburgh},
Pages = {79-94},
Volume = {44},
Year = {1983},
Number = {2},
Doi = {10.1080/03746608308685374},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/03746608308685374},
Url = {http://www.tandfonline.com/doi/abs/10.1080/03746608308685374}
}
@Manual{Hijmans2013,
Title = {Introduction to the ’raster’ package},
Author = {Robert J. Hijmans},
Year = {2013},
File = {Hijmans2013.pdf:Hijmans2013.pdf:PDF},
Keywords = {rasterbrick; rasterstack; rasterlayer;},
Owner = {alessandro},
Timestamp = {16.10.2013}
}
@Techreport{HijmansEtAl2013,
Title = {Species distribution modeling with {R}},
Author = {Robert J Hijmans and Jane Elith},
Pages = {78},
Publisher = {R Project CRAN},
Year = {2013},
File = {HijmansEtAl2013.pdf:HijmansEtAl2013.pdf:PDF},
Keywords = {species distribution models;},
Owner = {alessandro},
Timestamp = {12.11.2013},
Url = {http://cran.r-project.org/web/packages/dismo/vignettes/sdm.pdf}
}
@Manual{HijmansEtAl2012,
Title = {raster: Geographic data analysis and modeling},
Author = {Robert J. Hijmans and van Etten, Jacob},
Year = {2012},
Abstract = {Reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions and processing of very large files is supported.},
File = {HijmansEtAl2012.pdf:HijmansEtAl2012.pdf:PDF},
Keywords = {redemds; filter;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.13},
Url = {http://cran.r-project.org/web/packages/raster/}
}
@Book{Hillel2005,
Title = {Encyclopedia of soils in the environment},
Author = {Daniel Hillel},
Pages = {2200},
Publisher = {Oxford, Elsevier},
Year = {2005},
Edition = {1},
Owner = {pccli},
Timestamp = {2011.12.26},
Url = {http://www.sciencedirect.com/science/referenceworks/9780123485304}
}
@Book{Hillel1998,
Title = {Environmental soil physics},
Author = {Daniel Hillel},
Pages = {798},
Publisher = {San Diego: Academic Press},
Year = {1998},
Edition = {1},
File = {Hillel1998.pdf:Book/Hillel1998.pdf:PDF},
Keywords = {the soil concept; system;},
Owner = {Administrador},
Timestamp = {2011.01.08}
}
@Article{HillyerEtAl2006,
Title = {Land-use and legumes in northern Namibia - the value of a local classification system},
Author = {A.E.M Hillyer and J F McDonagh and A Verlinden},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {251?265},
Volume = {117},
Year = {2006},
Abstract = {Research was conducted in northern Namibia to document and investigate the value of local knowledge connected with soil and land management, in particular with respect to the cultivation of grain legumes. Participatory approaches were used to describe and map the indigenous land unit (ILU) classification system in four villages. Soil and crop analyses indicated good correspondence between conventional productivity assessments and farmers? more qualitative descriptions of the ILUs. Patterns of land ownership were investigated to explore the relationship between the diversity of ILU land-holding, location and history of settlement. Results demonstrated that farmers have developed a sophisticated yet practical framework for managing their land that integrates knowledge of land type, productivity and optimum management under different rainfall scenarios in an unpredictable environment. The framework also clarified the perspective of farmers with regard to growing grain legumes. Their apparent reluctance was more often a pragmatic and rational decision to use the land for something more suitable. The authors conclude that an understanding of this framework offers real benefits to local professionals working for extension institutions and NGOs in agricultural development in northern Namibia, particularly in allowing the targeting of relevant interventions and support to specific farmer groups. It is likely that the practical approach to documenting and exploring the utility of local land-related knowledge systems used in this research has broad applicability in Africa and beyond.},
Doi = {10.1016/j.agee.2006.04.008},
File = {HillyerEtAl2006.pdf:Agriculture Ecosystems and Environment/HillyerEtAl2006.pdf:PDF},
Keywords = {Northern Namibia; Soil fertility; Ethnopedology; Legumes; Pearl millet; GIS},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{HirtEtAl2010,
Title = {Comparison and validation of recent freely-available {ASTER-GDEM} ver1, {SRTM} ver4.1 and {GEODATA} {DEM-9S} ver3 digital elevation models over {A}ustralia},
Author = {Hirt, Christian and Filmer, Michael and Featherstone, Will},
Journal = {Australian Journal of Earth Sciences},
Pages = {337-347},
Volume = {57},
Year = {2010},
Number = {3},
Abstract = {This study investigates the quality (in terms of elevation accuracy and systematic errors) of three recent publicly available elevation model datasets over Australia: (i) the 9 arc second national GEODATA DEM-9S ver3 from Geoscience Australia and the Australian National University; (ii) the 3 arc second SRTM ver4.1 from CGIAR-CSI; and (iii) the 1 arc second ASTER-GDEM ver1 from NASA/METI. The main features of these datasets are reported from a geodetic point of view. Comparison at about 1 billion locations identifies artefacts (e.g. residual cloud patterns and stripe effects) in ASTER. For DEM-9S, the comparisons against the space-collected SRTM and ASTER models demonstrate that signal omission (due to the ~270 m spacing) may cause errors of the order of 100-200 m in some rugged areas of Australia. Based on a set of geodetic ground control points over Western Australia, the vertical accuracy of DEM-9S is ~9 m, SRTM ~6 m and ASTER ~15 m. However, these values vary as a function of the terrain type and shape. Thus, CGIAR-CSI SRTM ver4.1 may represent a viable alternative to DEM-9S for some applications. While ASTER GDEM has an unprecedented horizontal resolution of ~30 m, systematic errors present in this research-grade version of the ASTER GDEM ver1 will impede its immediate use for some applications.},
Doi = {10.1080/08120091003677553},
File = {HirtEtAl2010.pdf:HirtEtAl2010.pdf:PDF},
Keywords = {ASTER-GDEM ver1, Australia, digital elevation models, GEODATA DEM-9S ver3, geodesy, SRTM ver4.1},
Owner = {alessandro},
Timestamp = {20.06.2013}
}
@Article{HirzelEtAl2002,
Title = {Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data?},
Author = {Hirzel, A. H. and Hausser, J. and Chessel, D. and Perrin, N.},
Journal = {Ecology},
Pages = {2027--2036},
Volume = {83},
Year = {2002},
Month = jul,
Number = {7},
Abstract = {We propose a multivariate approach to the study of geographic species distribution which does not require absence data. Building on Hutchinson's concept of the ecological niche, this factor analysis compares, in the multidimensional space of ecological variables, the distribution of the localities where the focal species was observed to a reference set describing the whole study area. The first factor extracted maximizes the marginality of the focal species, defined as the ecological distance between the species optimum and the mean habitat within the reference area. The other factors maximize the specialization of this focal species, defined as the ratio of the ecological variance in mean habitat to that observed for the focal species. Eigenvectors and eigenvalues are readily interpreted and can be used to build habitat-suitability maps. This approach is recommended in situations where absence data are not available (many data banks), unreliable (most cryptic or rare species), or meaningless (invaders). We provide an illustration and validation of the method for the alpine ibex, a species reintroduced in Switzerland which presumably has not yet recolonized its entire range.},
Booktitle = {Ecology},
Comment = {doi: 10.1890/0012-9658(2002)083[2027:ENFAHT]2.0.CO;2},
Doi = {10.1890/0012-9658(2002)083[2027:ENFAHT]2.0.CO;2},
File = {HirzelEtAl2002.pdf:HirzelEtAl2002.pdf:PDF},
ISSN = {0012-9658},
Keywords = {Capra ibex, ecological niche, GIS, habitat suitability, marginality, multivariate analysis, presence–absence data, specialization, species distribution, Switzerland},
Owner = {alessandro},
Publisher = {Ecological Society of America},
Timestamp = {03.12.2013},
Url = {http://dx.doi.org/10.1890/0012-9658(2002)083[2027:ENFAHT]2.0.CO;2}
}
@Article{HjerdtEtAl2004,
Title = {A new topographic index to quantify downslope controls on local drainage},
Author = {Hjerdt, K. N. and J. J. McDonnell and J. Seibert and A. Rodhe},
Journal = {Water Resources Research},
Pages = {1-6},
Volume = {40},
Year = {2004},
Abstract = {Topography is an important control on hydrological processes. One approach to quantify this control is the topographic ln(a/tanb) index. This index has become widely used in hydrology, but it utilizes a relatively small portion of the information contained in a digital elevation model (DEM). One potentially important feature not considered in the implementation of the ln(a/tanb) index is the enhancement or impedance of local drainage by downslope topography. This effect could be important in some terrain for controlling hydraulic gradients. We propose a new way of estimating the hydraulic gradient by calculating how far downhill (Ld, [m]) a parcel of water must move in order to lose a certain amount of potential energy (d, [m]). Expressed as a gradient, tanad = d/Ld, values tend to be lower on concave slope profiles and higher on convex slope profiles compared with the local gradient, tanb. We argue that the parameter d controls the deviation of hydraulic gradient from surface slope. While we determine this subjectively, landscape relief, DEM resolution, and soil transmissivity should be considered at the selection of d. We found the downslope index values to be less affected by changes in DEM resolution than local slope. Three applications are presented where the new index is shown to be useful for hydrological, geomorphological, and biogeochemical applications.},
Doi = {10.1029/2004WR003130},
File = {HjerdtEtAl2004.pdf:HjerdtEtAl2004.pdf:PDF},
Keywords = {saga gis; Hydrology; Geomorphology; Soil moisture; Runoff and streamflow; Wetlands; topographic index, drainage efficiency, hydraulic gradient, terrain analysis; downslope distance gradient;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21}
}
@Article{HoEtAl2008,
Title = {Modelling marked point patterns by intensity-marked {C}ox processes},
Author = {Ho, Lai Ping and Stoyan, D.},
Journal = {Statistics \& Probability Letters},
Pages = {1194-1199},
Volume = {78},
Year = {2008},
Month = {Aug},
Number = {10},
Doi = {10.1016/j.spl.2007.11.013},
File = {HoEtAl2008.pdf:HoEtAl2008.pdf:PDF},
ISSN = {0167-7152},
Publisher = {Elsevier BV}
}
@Article{Ho1998,
Title = {The random subspace method for constructing decision forests},
Author = {Tin Kam Ho},
Journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
Pages = {832-844},
Volume = {20},
Year = {1998},
Number = {8},
Doi = {10.1109/34.709601},
File = {Ho1998.pdf:Ho1998.pdf:PDF},
ISSN = {0162-8828},
Keywords = {Random; Forest;},
Owner = {alessandro},
Publisher = {Institute of Electrical \& Electronics Engineers (IEEE)}
}
@Phdthesis{Hodkiewicz2003,
Title = {The interplay between physical and chemical processes in the formation of world-class orogenic gold deposits in the Eastern Goldfields Province, Western Australia},
Author = {Hodkiewicz, P.},
School = {University of Western Australia, Perth},
Year = {2003},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.30}
}
@Article{HodkiewiczEtAl2005,
Title = {Complexity gradients in the Yilgarn Craton: fundamental controls on crustal-scale fluid flow and the formation of world-class orogenic-gold deposits},
Author = {P. F. Hodkiewicz and R. F. Weinberg and S. J. Gardoll and D. I. Groves},
Journal = {Australian Journal of Earth Sciences},
Pages = {831-841},
Volume = {52},
Year = {2005},
Abstract = {Fractal-dimension analysis is an effective means of quantifying complex map patterns of structures and lithological contacts, which are conduits for hydrothermal fluid flow during the formation of orogenic- gold deposits. In this study, fractal dimensions, calculated on a 10 km grid across a geologic map of the Yilgarn Craton of uniform data quality, highlight relationships between geologic complexity and the location and size of Archaean orogenic-gold deposits. In the Kalgoorlie Terrane and Laverton Tectonic Zone, the largest gold deposits occur along steep gradients defined by fractal-dimension values. These steep gradients in the greenstone belts occur between assive sedimentary rock sequences of low complexity, and volcanic and intrusive rock units with more complex map patterns. The formation of world-class orogenic-gold deposits requires that hydrothermal fluids become focused from a large volume of well-connected rocks at depth, towards narrow, high-permeability zones near the location of deposit formation. Connectivity is indirectly related to permeability, and the degree of connectivity is related to the density and orientation of fluid pathways, which are quantified in map patterns using fractal-dimension analysis. Thus, fractal dimensions are a measure of the potential for increased connectivity and the likelihood of increased permeability. Greater complexity, as measured by larger fractal dimensions, implies that a certain area has the potential to produce more interconnected pathways, or zones of high connectivity. Therefore, the steep complexity gradients defined in the Kalgoorlie Terrane and Laverton Tectonic Zone correspond to areas that focused large volumes of hydrothermal fluid and enhanced the potential for significant gold mineralisation. Fractal-dimension analysis thus provides a link between empirical map features and the processes that have enhanced hydrothermal fluid flow and resulted in the formation of larger orogenic-gold deposits.},
Doi = {10.1080/08120090500304257},
File = {HodkiewiczEtAl2005.pdf:Australian Journal of Earth Sciences/HodkiewiczEtAl2005.pdf:PDF},
Keywords = {fluid flow, fractal dimensions, orogenic gold, percolation networks, Yilgarn Craton, box-counting},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.24}
}
@Article{HoetingEtAl2006,
Title = {Model selection for geostatistical models},
Author = {Jennifer A. Hoeting and Richard A. Davis and Andrew A. Merton and Sandra E. Thompson},
Journal = {Ecological Applications},
Pages = {87-98},
Volume = {16},
Year = {2006},
Abstract = {We consider the problem of model selection for geospatial data. Spatial correlation is often ignored in the selection of explanatory variables and this can influence model selection results. For example, the inclusion or exclusion of particular explanatory variables may not be apparent when spatial correlation is ignored. To address this problem, we consider the Akaike Information Criterion (AIC) as applied to a geostatistical model. We offer a heuristic derivation of the AIC in this context and provide simulation results that show that using AIC for a geostatistical model is superior to the often used traditional approach of ignoring spatial correlation in the selection of explanatory variables. These ideas are further demonstrated via a model for lizard abundance. We also employ the principle of minimum description length (MDL) to variable selection for the geostatistical model. The effect of sampling design on the selection of explanatory covariates is also explored. S-Plus and R software to implement the geostatistical model selection methods described in this paper is available at www.stat.colostate.edu/ ∼ jah.},
File = {HoetingEtAl2006.pdf:HoetingEtAl2006.pdf:PDF},
Owner = {alessandro},
Timestamp = {28.05.2013},
Url = {http://dx.doi.org/10.1890/04-0576}
}
@InCollection{HofierkaEtAl2009,
Title = {Geomorphometry in GRASS GIS},
Author = {J. Hofierka and H. Mitásová and M. Neteler},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {17},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {387 - 410},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00017-2},
File = {HofierkaEtAl2009.pdf:HofierkaEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {how to set-up GRASS GIS},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-W/2/56282f3812db8cac9feb56b0777e483a}
}
@Book{Hogben2007,
Title = {Handbook of Linear Algebra},
Address = {Boca Raton},
Author = {Hogben, Leslie},
Publisher = {Chapman \& Hall/CRC},
Year = {2007},
Edition = {1},
File = {Hogben2007.pdf:Hogben2007.pdf:PDF},
ISBN = {978-1-58488-510-8}
}
@InCollection{HollingsworthEtAl2006,
Title = {Rule-Based Land Unit Mapping of the Tiwi Islands, Northern Territory, Australia},
Author = {Ian D. Hollingsworth and Elisabeth N. Bui and Inakwu O.A. Odeh and Phillip McLeod},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {29},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {401 - 414, 621},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {We have applied a decision tree analysis (DTA) to map soil, plant community and land unit classes across the Tiwi Islands (7320 km2), located in northern Australia. Our survey substituted environmental analysis and DTA for traditional air photo interpretation to provide a continuous land unit coverage over the islands. DTA was used to derive mapping rules for land units, their component vegetation classes and soil families from secondary survey site observations and distributed environmental data. The mapping was tested on a legacy data set. The environmental variables used are: elevation, slope, latitude, longitude, landform pattern class, wetness class, static wetness index, erosion or deposition index, Landsat TM band 5:7 and vegetation cover class extracted from digital topographic 1:50,000-scale mapping. We needed to reduce the number of the resulting land unit classes derived from historical surveys into nine classes so as to produce a more meaningful mapping. This was achieved by generalising the component vegetation and soil units of the land unit classes thus producing the broader land unit classification. This procedure dovetails well with the current survey approach in which surveyors often develop more detailed classification systems than can be accurately mapped. We recommend a predictive mapping approach based on explicit mapping rules that integrate available land resources information and facilitate production of upgradeable maps.},
Doi = {10.1016/S0166-2481(06)31029-X},
ISSN = {0166-2481}
}
@Article{HollisEtAl2012,
Title = {Empirically-derived pedotransfer functions for predicting bulk density in {European} soils},
Author = {Hollis, J. M. and Hannam, J. and Bellamy, P. H.},
Journal = {European Journal of Soil Science},
Pages = {96–109},
Volume = {63},
Year = {2012},
Month = {Feb},
Number = {1},
Doi = {10.1111/j.1365-2389.2011.01412.x},
File = {HollisEtAl2012.pdf:HollisEtAl2012.pdf:PDF},
ISSN = {1351-0754},
Owner = {alessandro},
Publisher = {Wiley-Blackwell},
Url = {http://dx.doi.org/10.1111/j.1365-2389.2011.01412.x}
}
@Article{HolmesEtAl2000,
Title = {Error in a {USGS} 30-meter digital elevation model and its impact on terrain modeling},
Author = {K.W Holmes and O.A Chadwick and P.C Kyriakidis},
Journal = {Journal of Hydrology},
Pages = {154 - 173},
Volume = {233},
Year = {2000},
Number = {1?4},
Abstract = {Calculations based on US Geological Survey (USGS) digital elevation models (DEMs) inherit any errors associated with that particular representation of topography. We investigated the potential impact of error in a USGS 30 m DEM on terrain analysis over 27 km2. The difference in elevation between 2652 differential Global Positioning Systems measurements and USGS 30-m DEM derived elevations provided the comparative error dataset. Analysis of this comparative error data suggested that although the global (average) error is small, local error values can be large, and also spatially correlated. Stochastic conditional simulation was used to generate multiple realizations of the DEM error surface that reproduce the error measurements at their original locations and sample statistics such as the histogram and semivariogram model. The differences between these alternative error surfaces provide a model of uncertainty for the unknown DEM error spatial distribution. These DEM errors had a significant impact on terrain attributes which compound elevation values of many grid cells (e.g. slope, wetness index, etc.). A case study using terrain modeling demonstrates that the result of error propagation is most dramatic in valley bottoms and along streamlines.},
Doi = {10.1016/S0022-1694(00)00229-8},
File = {HolmesEtAl2000.pdf:HolmesEtAl2000.pdf:PDF},
ISSN = {0022-1694},
Keywords = {Digital terrain models,Uncertainty, Spatial distribution, Digital simulation, Geostatistics, Global positioning systems; redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0022169400002298}
}
@Article{Holmgren1988,
Title = {The point representation of soil},
Author = {Holmgren, G.C.S.},
Journal = {Soil Science Society of America Journal},
Pages = {712-716},
Volume = {52},
Year = {1988},
Abstract = {The ambiguities of the current pedon concept are shown to derive from a dual reference to the incompatable logics of J.S. Mill and P.VV. Bridgeman. It is argued that location is the proper referent for soil observations and that operational definitions should apply only to the process of sampling and not to the creation of spatial bodies. An alternate pedon definition is proposed that spatially and temporally relates individual observations to a common point of geographic reference. This allows for the systematic assignment of one-, two-, and three-dimensional soil features to point locations as realizations of a sampling procedure.},
File = {Holmgren1988.pdf:Holmgren1988.pdf:PDF},
Keywords = {Pedon, Polypedon, Soil profile, U.S. system of soil taxonomy, Sampling, Focus, Locus, Locule, Domain, Soil map unit, Paradigm, Existent, Referent, Realization.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.25}
}
@Inproceedings{Holmgren1986,
Title = {The soil individual},
Author = {Holmgren, G. G. S.},
Booktitle = {Proceedings of the Thirteenth World Congress of Soil Science},
Pages = {1146-1147},
Year = {1986},
Address = {Hamburg},
File = {Holmgren1986.pdf:Holmgren1986.pdf:PDF},
Keywords = {pedon; polipedon},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.25}
}
@Book{Holtz2003,
Title = {Do mar ao deserto: a evolução do Rio Grande do Sul no tempo geológico},
Address = {Porto Alegre},
Author = {Michael Holtz},
Pages = {144},
Publisher = {Editora da UFRGS},
Year = {2003},
Edition = {2},
Keywords = {geologia; dnos; rebordo do planalto; bacia do paraná; geomorfologia;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.29}
}
@Book{Holzbecher2012,
Title = {Environmental modeling - using MATLAB},
Address = {Göttingen},
Author = {Ekkehard Holzbecher},
Pages = {410},
Publisher = {Springer},
Year = {2012},
Edition = {2},
File = {Holzbecher2012.pdf:Holzbecher2012.pdf:PDF},
Owner = {alessandro},
Timestamp = {05.09.2013},
Url = {http://www.springer.com/new+%26+forthcoming+titles+%28default%29/book/978-3-642-22041-8}
}
@Article{HomannEtAl2007,
Title = {Relations of mineral-soil C and N to climate and texture: regional differences within the conterminous USA},
Author = {Peter S. Homann and Jason S. Kapchinske and Andrew Boyce},
Journal = {Biogeochemistry},
Pages = {303-316},
Volume = {85},
Year = {2007},
Abstract = {Soil is a prominent component of terres-trial C and N budgets. Soil C and N pools are in?uenced by, and may reciprocally in?uence, many environmental factors. Our objective was to determine the quantitative relations of surface mineral-soil organic C, N, and C/N ratios to climate and soil texture across seven ecological regions that make up the conterminous USA. Up to 608 soil pro?les per region and their corresponding climates were evalu- ated with regression analysis. The organic C pool (kg C m 2 ) in the upper 20 cm of mineral soil was positively related to mean annual precipitation, evapo- transpiration and clay content in all regions. It was negatively related to a temperature/precipitation index in all regions and negatively related to mean annual temperature, except in the northwest temperate forest region. Soil C/N ratios were negatively related to clay or silt content in all regions. These relations are consistent with concepts of moisture and temperature controls on detrital production, differential effects of temperature on detrital production and decomposition, and stabilization of organic matter by clay and silt. Differences in quantitative relations among regions may be related to vegetation-composition effects on soil organic matter processes, clay mineralogy, and faunal mixing of surface organic horizons with mineral soil. Regional differences also occurred in the importance of climate vs. soil texture in explaining the variability in soil C. The regional differences indicate the importance of using region-speci?c, rather than generalized, equations for projecting long-term soil responses to climate change and for conducting ecosystem-model calibration or validation.},
Doi = {10.1007/s10533-007-9139-6},
File = {HomannEtAl2007.pdf:Biogeochemistry/HomannEtAl2007.pdf:PDF},
Keywords = {Carbon pools, Mineral soil, Soil organic carbon, Soil organic nitrogen},
Owner = {Alessandro},
Timestamp = {2011.01.03}
}
@Article{HooksEtAl1986,
Title = {Recording cone penetrometer developed in reclamation research},
Author = {C. L. Hooks and I. J. Jansen},
Journal = {Soil Science Society of America Journal},
Pages = {10-12},
Volume = {50},
Year = {1986},
Abstract = {A constant rate cone penetromcter has been developed for use in a strip mine reclamation project at the Univ. of Illinois. The device is capable of recording soil strength profiles to a depth of I I2 cm. (44 in.). It utilizes a tractor-mounted hydraulic coring machine as a source of movement. A chart recorder and data acquisition system are operated by 12 V DC electrical power. The penetrometer is ef- fective in detecting soil layers where compaction is likely I O inhibit root system development. It is useful in measuring soil strength in mine soils where the amount and depth of compaction may vary due to reclamation methods. Differences in soil strength may prove to be a clue to crop performance on reclaimed land.},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://soilslab.cfr.washington.edu/SSSAJ/SSAJ_Abstracts/data/contents/a050-01-0010.pdf}
}
@Article{HoosbeekEtAl1992,
Title = {Towards the quantitative modeling of pedogenesis - a review},
Author = {Hoosbeek, Marcel R. and Bryant, Ray B.},
Journal = {Geoderma},
Pages = {183-210},
Volume = {55},
Year = {1992},
Month = {Nov},
Number = {3-4},
Doi = {10.1016/0016-7061(92)90083-j},
File = {HoosbeekEtAl1992.pdf:HoosbeekEtAl1992.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Process; Model; Scale; DSM; Pedometrics; Support;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{Hoppin2002,
Title = {How I Review an Original Scientific Article},
Author = {Hoppin, Frederic G.},
Journal = {American Journal of Respiratory and Critical Care Medicine},
Pages = {1019-1023},
Volume = {166},
Year = {2002},
Number = {8},
Doi = {10.1164/rccm.200204-324OE},
Eprint = {http://ajrccm.atsjournals.org/content/166/8/1019.full.pdf+html},
File = {Hoppin2002.pdf:Hoppin2002.pdf:PDF},
Url = {http://ajrccm.atsjournals.org/content/166/8/1019.short}
}
@Article{HoraEtAl1997,
Title = {Nuclear waste and future societies: A look into the deep future},
Author = {Stephen C. Hora and Detlof Von Winterfeldt},
Journal = {Technological Forecasting and Social Change},
Pages = {155 - 170},
Volume = {56},
Year = {1997},
Number = {2},
Abstract = {Inadvertent human intrusion is thought to be a significant, if not the most significant, threat to nuclear waste held in repositories. As part of the effort to access the safety of the first United States repository, the Waste Isolation Pilot Plant near Carlsbad, New Mexico, four interdisciplinary teams of experts were brought together to provide insights into the modes and likelihoods of such intrusions as far as 10,000 years in the future. A formal expert elicitation process was used in obtaining their judgments. The teams provided scenarios that, although formed using different approaches, reflected several central themes. These themes are the uncertainty about the need for resource exploration in the future, the rate at which technology develops or declines in future, the likely failure of government control of radioactive waste sites, and the preservation and potential loss of memory about nuclear waste. Identifying possible futures enhances the ability to construct a repository that will be robust against many different potential threats.},
Doi = {10.1016/S0040-1625(97)00075-9},
ISSN = {0040-1625},
Url = {http://www.sciencedirect.com/science/article/pii/S0040162597000759}
}
@Article{Horn1965,
Title = {A rationale and test for the number of factors in factor analysis},
Author = {Horn, John},
Journal = {Psychometrika},
Pages = {179-185},
Volume = {30},
Year = {1965},
Note = {10.1007/BF02289447},
Abstract = {It is suggested that if Guttman's latent-root-one lower bound estimate for the rank of a correlation matrix is accepted as a psychometric upper bound, following the proofs and arguments of Kaiser and Dickman, then the rank for a sample matrix should be estimated by subtracting out the component in the latent roots which can be attributed to sampling error, and least-squares ldquocapitalizationrdquo on this error, in the calculation of the correlations and the roots. A procedure based on the generation of random variables is given for estimating the component which needs to be subtracted. I wish to acknowledge the valuable help given by J. Jaspers and L. G. Humphreys in the development of the ideas presented in this paper.},
Issue = {2},
Keyword = {Behavioral Science},
Keywords = {redemds; pca; monte carlo},
Url = {http://dx.doi.org/10.1007/BF02289447}
}
@Book{HornEtAl1990,
Title = {Matrix analyis},
Address = {Cambridge},
Author = {Roger A Horn and Charles R Johnson},
Pages = {561},
Publisher = {Cambridge University Press},
Year = {1990},
File = {HornEtAl1990.pdf:HornEtAl1990.pdf:PDF},
Keywords = {Linear; Algebra;},
Owner = {alessandro},
Timestamp = {05.03.2015}
}
@Techreport{HorowitzEtAl2001,
Title = {Selected laboratory evaluations of the whole-water sample-splitting capabilities of a prototype fourteen-liter teflon churn splitter},
Author = {Arthur J. Horowitz and James J. Smith and Kent A. Elrick},
Pages = {14},
Year = {2001},
Institution = {Atlanta, Georgia: U.S. Geological Survey - Open-File Report 01-386},
Owner = {pccli},
Timestamp = {2011.07.13},
Url = {http://fisp.wes.army.mil/Horowitz%20report_ofr01-386.pdf}
}
@Article{vanHorssenEtAl2002,
Title = {Uncertainties in spatially aggregated predictions from a logistic regression model},
Author = {van Horssen, P.W and E.J Pebesma and P.P Schot},
Journal = {Ecological Modelling},
Pages = {93 - 101},
Volume = {154},
Year = {2002},
Number = {1?2},
Abstract = {This paper presents a method to assess the uncertainty of an ecological spatial prediction model which is based on logistic regression models, using data from the interpolation of explanatory predictor variables. The spatial predictions are presented as approximate 95% prediction intervals. The prediction model is based on logistic regression analysis of field data of a wetland area in the central parts of the Netherlands. The model predicts block average probability of occurrences of 78 wetland plant species for 500 m×500 m blocks. The explanatory variables comprise groundwater chemistry, hydrological characteristics, and land use management. The uncertainty of the spatial model output is assumed to be a function of the uncertainty in the estimated regression coefficients and uncertainty in the interpolated values of explanatory variables. Monte Carlo analysis was used to assess the model output error due to uncertainty in both the regression coefficients and the explanatory variables. Correlation between errors in regression coefficients and spatial autocorrelation in explanatory variables are accounted for in the Monte Carlo analysis. Spatial patterns of the relative contribution of uncertainty of the regression coefficients to the total model uncertainty are presented. The patterns of the relative contributions of uncertainty to the total model uncertainty give information on the most effective way to reduce error, i.e. either by reducing uncertainty in the regression coefficients or in the interpolated input patterns. The spatial patterns and values of the 95% prediction intervals vary widely between species but are in general large and the relative contribution of the uncertainty of the regression coefficients is in general large (over 80%).},
Doi = {10.1016/S0304-3800(02)00060-1},
File = {vanHorssenEtAl2002.pdf:vanHorssenEtAl2002.pdf:PDF},
ISSN = {0304-3800},
Keywords = {Spatial prediction; Block kriging; Error propagation; Monte Carlo; Plant species; redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0304380002000601}
}
@InCollection{Horstemeyer2010,
Title = {Multiscale modeling: a review},
Author = {Horstemeyer, M. F.},
Booktitle = {Practical Aspects of Computational Chemistry},
Publisher = {Springer},
Year = {2010},
Editor = {Leszczynski, Jerzy and Shukla, Manoj K.},
Pages = {87-135},
Doi = {10.1007/978-90-481-2687-3_4},
File = {Horstemeyer2010.pdf:Horstemeyer2010.pdf:PDF},
ISBN = {978-90-481-2686-6},
Language = {English},
Owner = {alessandro},
Url = {http://dx.doi.org/10.1007/978-90-481-2687-3_4}
}
@Article{HorvitzEtAl1952,
Title = {A generalization of sampling without replacement from a finite universe},
Author = {Horvitz, D. G. and Thompson, D. J.},
Journal = {Journal of the American Statistical Association},
Pages = {663-685},
Volume = {47},
Year = {1952},
Number = {260},
Abstract = {This paper presents a general technique for the treatment of samples drawn without replacement from finite universes when unequal selection probabilities are used. Two sampling schemes are discussed in connection with the problem of determining optimum selection probabilities according to the information available in a supplementary variable. Admittedly, these two schemes have limited application. They should prove useful, however, for the first stage of sampling with multi-stage designs, since both permit unbiased estimation of the sampling variance without resorting to additional assumptions.},
Copyright = {Copyright © 1952 American Statistical Association},
File = {HorvitzEtAl1952.pdf:Journal of the American Statistical Association/HorvitzEtAl1952.pdf:PDF},
ISSN = {01621459},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Dec., 1952},
Language = {English},
Publisher = {American Statistical Association},
Url = {http://www.jstor.org/stable/2280784}
}
@Manual{HothornEtAl2012,
Title = {multcomp: Simultaneous Inference in General Parametric Models},
Author = {Torsten Hothorn and Frank Bretz and Peter Westfal},
Year = {2012},
Abstract = {Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).},
File = {HothornEtAl2012.pdf:HothornEtAl2012.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.19},
Url = {http://cran.r-project.org/web/packages/multcomp/index.html}
}
@InCollection{HowellEtAl2006,
Title = {Fitting soil property spatial distribution models in the mojave desert for digital soil mapping},
Author = {D. Howell and Y. Kim and C. Haydu-Houdeshell and P. Clemmer and R. Almaraz and M. Ballmer},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {34},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {465 - 475, 624},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {We developed models from soil profile descriptions and GIS landscape analysis to estimate the spatial distribution of soil properties to assist soil scientists with soil-landscape information. Soil profile descriptions were obtained within soil survey projects in the Mojave Desert of southeastern California, USA. Sites were located on broad alluvial fans. Soil development varied from young soils with little or no soil development to well-developed soils on older alluvial fan remnants. We obtained a set of profile descriptions (n=264) from the traditional ongoing fieldwork. The location of these sample points was determined by soil scientist judgment of combinations of soil-forming factors. The project area is sparsely vegetated and access is relatively unimpaired in most areas. We feel that these purposive samples represent the range of the soil-forming factors and that sample location bias will be low. Although this bias is not measurable. We wanted to see if we could make use of these data. We developed models from these data and evaluated the performance of the models using the measured values at randomly located sites not used to fit the models. The models estimated selected soil characteristics continuously in a 30-m raster over the project area. The response variables that we modelled were soil genetic features that are used as diagnostic properties in USDA Soil Taxonomy, for example particle-size class, presence or absence of argillic horizon. Soil profiles and landscape features were described at 97 randomly located field sites within a portion of the active soil survey project. Explanatory variable information was developed for each of these sites through GIS extraction from digital elevation model data, landform derivatives, band-ratio satellite images and geomorphologic data. Model estimates for particle-size class were correct or within one class of the correct class for 73% of sample points. Models for depth to soil features had a range of performance. The best fitting model estimated the depth to secondary carbonates within 20 cm of actual depths for 71% of sample points, which contained carbonates. The model for depth to calcic horizon performed less well, while the model for depth to argillic was slightly less reliable. The model for presence or absence of calcic horizon was the most reliable logistic model. Soils on millions of hectares will be mapped in this general area in the future and we are trying to increase mapping efficiency and depth of understanding of soil-landscape relationships. Model development techniques will be adapted and applied to adjacent areas in the future. Further work will require more field data (to document the response variables) and more complete soil-forming factor spatial data. New soil survey products may result from these continuous raster estimates of soil properties. These model outputs are intended to augment and guide field soil survey data collection, not replace it.},
Doi = {DOI: 10.1016/S0166-2481(06)31034-3},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1M/2/1bac7349868b6a6cd693a16dde576381}
}
@Article{HsuEtAl1999,
Title = {Chemical and spectroscopic analysis of organic matter transformations during composting of pig manure},
Author = {Jenn-Hung Hsu and Shang-Lien Lo},
Journal = {Environmental Pollution},
Pages = {189-196},
Volume = {104},
Year = {1999},
Abstract = {Composting of separated pig manure (SPM) was studied in an attempt to elaborate upon organic matter (OM) transformation during the process and de®ne parameters for product maturity using both chemical and spectroscopical methods. Composting was performed in two piles and the following parameters were measured in 10 samples during 122 days of composting: temperature, ash content, C/N ratio, water-soluble organic C concentration, and humic substance content (humic acid, fulvic acid, and nonhumic fractionÐHA, FA, and NHF, respectively). A spectroscopic method (Fourier-transform infrared [FTIR]) was used to study the chemical composition of the OM. The C/N ratio and ash content exhibited a typically high rate of change during the ®rst 49 days and leveled o? thereafter. Water-soluble organic C concentration rapidly increased to a maximum at Day 18 and declined there- after. The increasing level of HA at various stages of composting indicated the progression of humi®cation. The FTIR spectra revealed an increase in aromaticity and a decrease in carbohydrates as decomposition proceeded. Spectrometric measurements using FTIR provide information signi®cantly correlating to conventional chemical parameters of compost maturity.},
File = {:Environmental Pollution/Hsu & Lo_Environ Pollut_1999.pdf:PDF},
Keywords = {Pig manure; Composting; Humic substances; Organic matter transformation; FTIR},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0269749198001936}
}
@Article{HubbardEtAl2008,
Title = {Why p values are not a useful measure of evidence in statistical significance testing},
Author = {Hubbard, Raymond and Lindsay, R. Murray},
Journal = {Theory andand Psychology},
Pages = {69-88},
Volume = {18},
Year = {2008},
Number = {1},
Abstract = {Reporting p values from statistical significance tests is common in psychology's empirical literature. Sir Ronald Fisher saw the p value as playing a useful role in knowledge development by acting as an `objective' measure of inductive evidence against the null hypothesis. We review several reasons why the p value is an unobjective and inadequate measure of evidence when statistically testing hypotheses. A common theme throughout many of these reasons is that p values exaggerate the evidence against H0 . This, in turn, calls into question the validity of much published work based on comparatively small, including .05, p values. Indeed, if researchers were fully informed about the limitations of the p value as a measure of evidence, this inferential index could not possibly enjoy its ongoing ubiquity. Replication with extension research focusing on sample statistics, effect sizes, and their confidence intervals is a better vehicle for reliable knowledge development than using p values. Fisher would also have agreed with the need for replication research.},
Doi = {10.1177/0959354307086923},
Eprint = {http://tap.sagepub.com/content/18/1/69.full.pdf+html},
File = {HubbardEtAl2008.pdf:HubbardEtAl2008.pdf:PDF},
Url = {http://tap.sagepub.com/content/18/1/69.abstract}
}
@Book{HubertyEtAl2006,
Title = {Applied MANOVA and discriminant analysis},
Author = {Carl J. Huberty and Stephen Olejnik},
Pages = {524},
Publisher = {New Jersey, USA: John Wiley and Sons},
Year = {2006},
Edition = {2},
Abstract = {How discriminant analysis fits in the arena of multivariate statistical methods is reviewed. An introduction of the two aspects of discriminant analysis (DA), descriptive discriminant analysis (DDA) and predictive discriminant analysis (PDA), are prefaced with a little history of DA. Aspects of the design of a DA study involving a DDA or PDA are discussed. Statistical preliminaries to a discussion of DA are presented. This presentation includes some of the basic mathematical and statistical concepts involved in a DA: matrix operations, distance, linear combination, probability, and statistical testing. The role of researcher judgment in data analyses and interpretations thereof is emphasized.},
File = {HubertyEtAl2006.pdf:Book/HubertyEtAl2006.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{Hudson1992,
Title = {The soil survey as paradigm-based science},
Author = {B. D. Hudson},
Journal = {Soil Science Society of America Journal},
Pages = {836-841},
Volume = {56},
Year = {1992},
Doi = {10.2136/sssaj1992.03615995005600030027x},
File = {Hudson1992.pdf:Soil Science Society of America Journal/Hudson1992.pdf:PDF},
Keywords = {pedon; solo-paisagem;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.10}
}
@Article{HudsonEtAl2006,
Title = {Ancient and modern perspectives on land degradation},
Author = {Paul F. Hudson and Irasema Alcántara-Ayala},
Journal = {Catena},
Pages = {102-106},
Volume = {65},
Year = {2006},
Abstract = {Concern over land degradation is not new, and is not solely the domain of geomorphology and soil scientists. Widespread and extensive reference to land degradation occurs throughout the world, and often has deep historical antecedents (Butzer, 1976b, 1982). There is increasing concern by a number of disciplines that land degradation has long term consequences to landscapes, and possibly society. In some cases land degradation is seen as a precursor and triggering mechanism to natural disasters, while social scientists have linked it to disruption of economic and political systems (Blaikie and Brookfield, 1987). Although the topic of land degradation is inherently interdisciplinary, because of its conceptual framework and intellectual breadth, geomorphology is an ideal discipline to address the multiple causes, management and prevention, and broader implications of land degradation. Moreover, because it strongly resonates with the general public, land degradation represents an opportunity for geomorphologists to communicate with a broad audience and make important societal contributions.},
Doi = {10.1016/j.catena.2005.11.003},
File = {HudsonEtAl2006.pdf:Catena/HudsonEtAl2006.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {14.02.2010}
}
@Article{Huete1988,
Title = {A soil adjusted vegetation index ({SAVI})},
Author = {Huete, A R},
Journal = {Remote Sensing of Environment},
Pages = {295-309},
Volume = {25},
Year = {1988}
}
@Article{Hull1932,
Title = {The goal-gradient hypothesis and maze learning},
Author = {Hull, C L},
Journal = {Psychological Review},
Pages = {25-43},
Volume = {39},
Year = {1932},
Month = {Jan},
Number = {1},
Abstract = {The hypothesis, which is an extension of Hull's goal reaction hypothesis, is that the goal reaction gets conditioned most strongly to the stimuli preceding it, and the other reactions in the sequence get conditioned to their stimuli, with a strength inversely proportional to their temporal or spatial remoteness from the goal reaction. Since this assumes a gradient, which is related to the goal, he calls it a goal-gradient. The shape of this gradient is shown, by reference to Yoshioka's experiment in selection of maze pathways by the rat, to be positively accelerated, and to conform to the logarithmic law. The author deduces ten actual behavior phenomena from his principle, such as choice of shorter path, order of elimination of blind alleys, relative rates of locomotion in different parts of the maze, etc. (PsycINFO Database Record (c) 2012 APA, all rights reserved)},
Doi = {10.1037/h0072640},
Keywords = {psychology; motivation;},
Owner = {alessandro},
Timestamp = {17.10.2013}
}
@Article{HuncklerEtAl1997,
Title = {Spodosol development as affected by geomorphic aspect},
Author = {Hunckler, R V and Schaetzl, R J},
Journal = {Soil Science Society of American Journal},
Pages = {1105-1115},
Volume = {61},
Year = {1997},
Keywords = {Aspect; Northerness;},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
@Article{HungEtAl2006,
Title = {A novel sustainable decision making model for municipal solid waste management},
Author = {Ming-Lung Hung and Hwong wen Ma and Wan-Fa Yang},
Journal = {Waste Management},
Pages = {209-219},
Volume = {27},
Year = {2006},
Doi = {10.1016/j.wasman.2006.01.008},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{HunterEtAl1997,
Title = {Modeling the uncertainty of slope and aspect estimates derived from spatial databases},
Author = {Hunter, Gary J. and Goodchild, Michael F.},
Journal = {Geographical Analysis},
Pages = {35-49},
Volume = {29},
Year = {1997},
Number = {1},
Abstract = {Estimates of slope and aspect are commonly made from digital elevation models (DEMs), and are subject to the uncertainty present in such models. We show that errors in slope and aspect depend on the spatial structure of DEM errors. We propose a general-purpose model of DEM errors in which a spatially auto-regressive random field is added as a disturbance term to elevations. In addition, we propose a general procedure for propagating such errors through GIS operations. In the absence of explicit information on the spatial structure of DEM errors, we demonstrate the potential utility of a worst-case analysis. A series of simulations are used to make general observations about the nature and severity of slope and aspect errors.},
Doi = {10.1111/j.1538-4632.1997.tb00944.x},
File = {HunterEtAl1997.pdf:HunterEtAl1997.pdf:PDF},
Keywords = {redemds},
Publisher = {Blackwell Publishing Ltd}
}
@Article{HunterEtAl1995,
Title = {Dealing with error in spatial databases: a simple case study},
Author = {Gary J Hunter and Michael F Goodchild},
Journal = {Photogrammetric Engineering and Remote Sensing},
Pages = {529-537},
Volume = {61},
Year = {1995},
File = {HunterEtAl1995.pdf:HunterEtAl1995.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.24}
}
@Article{HuntingtonEtAl1998,
Title = {Improvements to and limitations of {L}atin hypercube sampling},
Author = {Huntington, D.E. and Lyrintzis, C.S.},
Journal = {Probabilistic Engineering Mechanics},
Pages = {245–253},
Volume = {13},
Year = {1998},
Month = {Oct},
Number = {4},
Doi = {10.1016/s0266-8920(97)00013-1},
File = {HuntingtonEtAl1998.pdf:HuntingtonEtAl1998.pdf:PDF},
ISSN = {0266-8920},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{HupyEtAl2004,
Title = {Modeling the complexity of different, recently deglaciated soil landscapes as a function of map scale},
Author = {Hupy, Christina M. and Schaetzl, Randall J. and Messina, Joseph P. and Hupy, Joseph P. and Delamater, Paul and Enander, Helen and Hughey, Brandi D. and Boehm, Rebecca and Mitroka, Matthew J. and Fashoway, Michael T.},
Journal = {Geoderma},
Pages = {115-130},
Volume = {123},
Year = {2004},
Month = {Nov},
Number = {1-2},
Abstract = {"Indeed, few question the assumption that more effort and time will result in soil maps that portray more information and are potentially more accurate."},
Doi = {10.1016/j.geoderma.2004.01.030},
File = {HupyEtAl2004.pdf:HupyEtAl2004.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Analysis; Scale; Resolution; Support; DSM; Pedometrics;},
Publisher = {Elsevier BV},
Review = {"[...] there is not one correct scale at which to observe natural phenomena. Instead, a range of scales appropriate to the question and landscape in focus must be considered; each may contribute new and unique perspectives." "[...] There are many factors which contribute to the variability in the data. Some potential contributing factors include, again, the varying shapes of the counties, the experience of the surveyors who map each county, and the budget constraints while conducting the soil survey. [...]"}
}
@Article{HuqueEtAl2014,
Title = {On the impact of covariate measurement error on spatial regression modelling},
Author = {Huque, Md Hamidul and Bondell, Howard D. and Ryan, Louise},
Journal = {Environmetrics},
Pages = {n/a–n/a},
Year = {2014},
Month = {Oct},
Doi = {10.1002/env.2305},
File = {HuqueEtAl2014.pdf:HuqueEtAl2014.pdf:PDF},
ISSN = {1180-4009},
Keywords = {Linear Mixed Model; DSM; Pedometrics; Proxy; Sensitivity Analysis;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{HurvichEtAl1990,
Title = {The Impact of Model Selection on Inference in Linear Regression},
Author = {Hurvich, Clifford M. and Tsai, Chih-Ling},
Journal = {The American Statistician},
Pages = {214},
Volume = {44},
Year = {1990},
Month = {Aug},
Number = {3},
Doi = {10.2307/2685338},
File = {HurvichEtAl1990.pdf:HurvichEtAl1990.pdf:PDF},
ISSN = {0003-1305},
Keywords = {degrees of freedom; pedometrics; dnos;},
Owner = {alessandro},
Publisher = {JSTOR}
}
@Book{Husserl2002,
Title = {A crise da humanidade européia e a filosofia},
Address = {Porto Alegre},
Author = {Husserl, Edmund},
Pages = {96},
Publisher = {EDIPUCRS},
Year = {2002},
Edition = {2},
File = {Husserl2002.pdf:Husserl2002.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.29}
}
@Article{HutchinsEtAl1976,
Title = {The influence of soil and microclimate on vegetation of forested slopes in eastern Kentucky},
Author = {Hutchins, R.L. and Hill, J.D. and White, E.H.},
Journal = {Soil Science},
Pages = {234-241},
Volume = {121},
Year = {1976},
Abstract = {Soils, microclimate, and vegetation differed greatly between two contrasting northeast- and southwest-facing slopes in the Appalachian Mountains of eastern Kentucky. Silt loam Shelocta soils had developed on the northeast slopes, while sandy loam Rigley soils had developed on the southwest slopes. Air temperature, through-fall, soil temperature, and the annual cycle of soil temperature fluctuations were all significantly greater on the southwest than on the northeast slope. Available soil moisture and relative humidity were greater on the northeast slope. Vegetation of the northeast slope was more diversified in numbers of species and tended towards the mixed mesophytic type including yellow poplar, basswood, and cucumber magnolia. The southwest slope supported a less diverse plant community with mixed oak and hickory as the dominant trees.},
Owner = {Administrador},
Timestamp = {2011.01.19}
}
@Article{Hutchins1976,
Title = {The influence of soil and microclimate on vegetation of forested slopes in eastern Kentucky},
Author = {Hutchins, R L Et Al},
Journal = {Soil Science},
Pages = {234-241},
Volume = {121},
Year = {1976},
Keywords = {Aspect; Northerness;},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
@Inproceedings{Hutchinson1957,
Title = {Concluding remarks},
Author = {Hutchinson, G.E.},
Booktitle = {Cold Spring Harbour Symposia on Quantitative Biology. Population Studies: Animal Ecology and Demography},
Pages = {415–427},
Year = {1957},
Address = {Cold Spring Harbor},
Number = {2},
Volume = {22},
File = {Hutchinson1957.pdf:Hutchinson1957.pdf:PDF},
Keywords = {ecological niche;},
Owner = {alessandro},
Timestamp = {04.12.2013},
Url = {http://artifex.org/~ecoreaders/lit/Hutchinson1957.pdf}
}
@Inproceedings{Hutchinson1996,
Title = {A locally adaptive approach to the interpolation of digital elevation models},
Author = {Michael F. Hutchinson},
Booktitle = {Proceedings of the Third International Conference/Workshop on Integrating GIS and Environmental Modeling. National Center for Geographic Information and Analysis, Santa Barbara, CA, CD.},
Pages = {8},
Year = {1996},
Abstract = {Significant extensions to an existing finite difference approach to the interpolation of digital elevation models (DEMs) are discussed. The underlying finite difference computational structure is retained, but the minimum curvature interpolation criterion is replaced by a locally adaptive criterion which directly minimises profile curvature, that is curvature of the modelled land surface in the down slope direction. The new method should automatically match landforming processes and hence preserve drainage structure. It should remove biases in the representation of profile curvature which have previously limited applications to the analysis of erosion and soil forming processes. The local nature of the new interpolation condition should also permit greater flexibility in modelling landscape features, including breaklines and cliffs. A statistical analysis of the discretisation errors imposed by representing the landscape with a regular grid DEM leads to a method for optimal smoothing of both point and contour line elevation data. This in turn has led to a simple criterion for matching the spatial resolution of the DEM to the information content of the data, a practical advance toward addressing scale issues in hydrological and environmental modelling.},
File = {Hutchinson1996.pdf:Anais/Hutchinson1996.pdf:PDF},
Location = {National Center for Geographic Information and Analysis, Santa Barbara, CA},
Owner = {Alessandro},
Timestamp = {2011.01.13},
Url = {http://www1.gsi.go.jp/geowww/globalmap-gsi/gtopo30/papers/local.html}
}
@Article{Hutchinson1989,
Title = {A new procedure for gridding elevation and stream line data with automatic removal of spurious pits},
Author = {Michael F. Hutchinson},
Journal = {Journal of Hydrology},
Pages = {211 - 232},
Volume = {106},
Year = {1989},
Number = {3-4},
Abstract = {A morphological approach to the interpolation of regular grid digital elevation models (DEMs) from surface specific elevation data points and selected stream lines is described. The approach has given rise to a computationally efficient interpolation procedure which couples the minimization of a terrain specific roughness penalty with an automatic drainage enforcement algorithm. The drainage enforcement algorithm removes spurious sinks or pits yielding DEMs which may be used to advantage in hydrological process studies. The drainage enforcement algorithm has also been found to significantly increase the accuracy of DEMs interpolated from sparse, but well chosen, surface specific elevation data. Moreover, it facilitates the detection of errors in elevation data that would not be detected by more conventional statistical means and forms a sound physical basis for cartographic generalization.},
Doi = {10.1016/0022-1694(89)90073-5},
File = {Hutchinson1989.pdf:Hutchinson1989.pdf:PDF},
ISSN = {0022-1694},
Keywords = {redemds; dem Interpolation; PhDpaper1}
}
@Article{HyeongEtAl2000,
Title = {The effect of organic matter and the H2O2 organic-matter-removal method on the dD of smectite-rich samples},
Author = {Kiseong Hyeong and Regina M. Capuano},
Journal = {Geochimica et Cosmochimica Acta},
Pages = {3829-3837},
Volume = {64},
Year = {2000},
Abstract = {The H2O2 organic-matter-removal method (Jackson, 1985) used routinely to remove organic matter from sediments in preparation for dD analyses, was found to alter the dD of the smectite standard, H26, up to 28? and of Gulf Coast shale samples up to 213?. Before the H2O2 treatment, analytical error for the dD analyses was low ranging from 61? to 63?. After treatment the error increased ranging from 64 to 613? for 46% of the treated samples. This decreased reproducibility suggests the deuterium is no longer evenly distributed within the samples, and that the shift in dD may be the result of retention or removal of a hydrogen bearing phase. Total organic carbon (TOC) analyses of the shale samples before and after treatment with H2O2 show that up to 0.80 wt.% TOC remains in the samples even after the samples appear bleached, which according to Jackson (1985) indicates complete removal of the organic matter. An additional 24 h of treatment (two more additions of H2O2) or more, depending on the initial TOC content, was necessary beyond bleaching of the samples to achieve a final TOC of 0.10 wt.% or less. The dD values of the untreated Gulf Coast shale samples with 1 wt.% TOC or less, lie within a narrow range, 238 to 232?, and within this range lack any correlation with TOC, suggesting the presence of the organic matter is not effecting the dD values. A single sample with TOC greater than 1 wt.%, PB2?4762 m with 10 wt.% TOC, has a dD value of 256? outside of the range of the low TOC samples. Organic matter isolated from this high TOC sample was added incrementally to four of the other shale samples. dD analyses of these shale-organic matter mixtures show a decrease of 0.23? with each mole % increase in hydrogen from organic matter. By using this slope to calculate the dD of PB2?4762 m without the organic matter gives a value of 240?. This new value is within 2? of the range of values for the low TOC shales, 238 to 232?, and is within the analytical error of the dD analyses.},
File = {:Geochimica et Cosmochimica Acta/Hyeong & Capuano_Geochim Cosmochim Ac_2000.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {15.02.2010},
Url = {http://www.ingentaconnect.com/content/els/00167037/2000/00000064/00000022/art00438}
}
@Article{HyndmanEtAl1996,
Title = {Sample quantiles in statistical packages},
Author = {Hyndman, Rob J. and Fan, Yanan},
Journal = {The American Statistician},
Pages = {361-365},
Volume = {50},
Year = {1996},
Number = {4},
Copyright = {Copyright © 1996 American Statistical Association},
File = {HyndmanEtAl1996.pdf:HyndmanEtAl1996.pdf:PDF},
ISSN = {00031305},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Nov., 1996},
Language = {English},
Owner = {alessandro},
Publisher = {Taylor \& Francis, Ltd. on behalf of the American Statistical Association},
Url = {http://www.jstor.org/stable/2684934}
}
@Book{Iasi2002,
Title = {O dilema de Hamlet - o ser e o não ser da consciência},
Author = {Mauro Luís Iasi},
Pages = {231},
Publisher = {São Paulo, Brasil: Viramundo},
Year = {2002},
Keywords = {filosofia},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.14}
}
@Article{IbanezEtAl2009,
Title = {The fractal mind of pedologists (soil taxonomists and soil surveyors) },
Author = {J.J. Ibáñez and R.W. Arnold and R.J. Ahrens},
Journal = {Ecological Complexity },
Pages = {286 - 293},
Volume = {6},
Year = {2009},
Note = {<ce:title>Special Section: Fractal Modeling and Scaling in Natural Systems</ce:title> },
Number = {3},
Doi = {10.1016/j.ecocom.2009.05.007},
File = {IbanezEtAl2009.pdf:IbanezEtAl2009.pdf:PDF},
ISSN = {1476-945X},
Keywords = {Soil survey practices},
Owner = {alessandro},
Timestamp = {29.06.2013}
}
@Article{IbanezEtAl2006,
Title = {A mathematical comparison of classification structures: the case of the {USDA Soil Taxonomy}},
Author = {J. J. Ibáñez and M. Ruiz-Ramos},
Journal = {Eurasian Soil Science},
Pages = {712-719},
Volume = {39},
Year = {2006},
Abstract = {Biologists have not paid much attention to the mathematical structures of biological classifications and their interpretations. A few have made such an analysis mainly using statistical distribution models. Comparisons with nonbiological classifications are needed to know if such structures are the result of biological evolution or of taxonomic practices, utilitarian bias, and/or subconscious cognitive rules. We compare the biological classification of a target group of soil borne plant parasitic nematodes (the Tylenchina suborder) with a non-biological one (the USDA 8th edition of the Keys to Soil Taxonomy). The authors made use of the same tools used in previous papers by biologists introducing other classifications. The results show that both taxonomies are information systems that try to optimize the information flow and fit well to the same distribution models. The analysis does not show any idiosyncrasies of biological classifications with respect to pedological ones, thus, supporting the idea that these products are the result of subconscious cognitive rules used by humankind to classify the world.},
Doi = {10.1134/S1064229306070040},
File = {:Eurasian Soil Science/Ibáñez and Ruiz-Ramos_Eurasian Soil Sci_2006.pdf:PDF},
Keywords = {fractal;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Electronic{IBGE2010,
Title = {Censo demográfico 2010},
Author = {IBGE},
Url = {http://www.censo2010.ibge.gov.br/},
Year = {2010},
Journal = {Disponível em: <http://www.censo2010.ibge.gov.br/>. Acesso em: 27 dez. 2011.},
Owner = {pccli},
Timestamp = {2011.12.29}
}
@Electronic{IBGE2010a,
Title = {Modelo de Ondulação Geoidal - MAPGEO2010},
Author = {IBGE},
Organization = {Instituto Brasileiro de Geografia e Estatística},
Url = {http://www.ibge.gov.br/home/geociencias/geodesia/modelo_geoidal.shtm},
Year = {2010},
Keywords = {MAPGEO2010},
Owner = {alessandro},
Timestamp = {02.03.2014}
}
@Book{IBGE2009,
Title = {Manual técnico de geomorfologia},
Address = {Rio de Janeiro},
Author = {IBGE},
Pages = {182},
Publisher = {IBGE},
Year = {2009},
Edition = {2},
File = {IBGE2009.pdf:IBGE2009.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Book{IBGE2007,
Title = {Manual técnico de pedologia},
Address = {Rio de Janeiro},
Author = {IBGE},
Pages = {316},
Publisher = {Instituto Brasileiro de Geografia e Estatística},
Year = {2007},
Edition = {2},
Note = {Manuais técnicos em geociências, No. 4},
File = {IBGE2007.pdf:manual/IBGE2007.pdf:PDF},
Keywords = {the soil concept; fao;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.18}
}
@Book{IBGE2006,
Title = {Censo Agropecuário 2006. Agricultura Familiar - Brasil, Grandes Regiões e Unidades da Federação},
Author = {IBGE},
Pages = {267},
Publisher = {Rio de Janeiro: IBGE},
Year = {2006},
Edition = {1},
Owner = {pccli},
Timestamp = {2011.12.29}
}
@Book{IBGE2004,
Title = {Vocabulário básico de recursos naturais e meio ambiente},
Address = {Rio de Janeiro},
Author = {IBGE},
Pages = {332},
Publisher = {Instituto Brasileiro de Geografia e Estatística},
Year = {2004},
Edition = {2},
File = {IBGE2004.pdf:IBGE2004.pdf:PDF},
Keywords = {the soil concept;},
Owner = {pccli},
Timestamp = {2011.12.12},
Url = {http://www.ibge.gov.br/home/presidencia/noticias/vocabulario.pdf}
}
@Techreport{IBGE1998,
Title = {Minimum social indicators: education and living conditions, employment and income (Indicadores sociais mínimos: educação e condições de vida, trabalho e rendimento)},
Author = {IBGE},
Pages = {xx},
Year = {1998},
Institution = {Instituto Brasileiro de Geografia e Estatística},
Owner = {Administrador},
Timestamp = {2011.01.28}
}
@Book{IBGE1998a,
Title = {Noções básicas de cartografia},
Author = {IBGE},
Year = {1998},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.05}
}
@Article{ImanEtAl1982,
Title = {A distribution-free approach to inducing rank correlation among input variables},
Author = {Iman, Ronald L. and Conover, W. J.},
Journal = {Communications in Statistics - Simulation and Computation},
Pages = {311–334},
Volume = {11},
Year = {1982},
Month = {Jan},
Number = {3},
Doi = {10.1080/03610918208812265},
File = {ImanEtAl1982.pdf:ImanEtAl1982.pdf:PDF},
ISSN = {1532-4141},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics; Latin; Hypercube;},
Owner = {alessandro},
Publisher = {Informa UK Limited}
}
@Article{ImanEtAl1981,
Title = {An approach to sensitivity analysis of computer models, Part 1. Introduction, input variable selection and preliminary variable assessment},
Author = {Iman, R. L. and Helton, J. C. and Campbell, J. E.},
Journal = {Journal of Quality Technology},
Pages = {174-183},
Volume = {13},
Year = {1981},
Number = {3},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.01}
}
@Article{Inda.Junior1997,
Title = {Conformação da paisagem, umidade e gênese de solos desenvolvidos sobre o Membro Alemoa da Formação Santa Maria},
Author = {Alberto Vasconcellos Inda.Junior},
Journal = {Ciência Rural},
Pages = {692-693},
Volume = {27},
Year = {1997},
Abstract = {A unidade de bacia é uma pequena bacia de drenagem, tomada como célula básica onde os processos pedológicos, impulsionados pelo movimento da água, são condicionados pelas formas de relevo. O objetivo do trabalho foi caracterizar o solo em uma unidade de bacia que não sofreu intervenção de atividades humanas há pelo menos trinta anos. O solo nessa área é desenvolvido de rochas sedimentares da formação geológica Santa Maria. Aspectos morfológi- cos, químicos,físicos, mineralógicos e hídricos foram analisados no sentido de relacioná-Ios com a distribui- ção do conteúdo de água em função das formas dos declives. Para tanto, foram locados quatro transetos em três declives (um côncavo-côncavo, um convexo- linear, um convexo-convexo) no campus da UFSM. Seis a nove pontos foram locados em cada transeto, totalizando 29 pontos, onde coletou-se amostras de solo até aproximadamente 2m para as análises quími- cas e físicas, nos quais foi monitorado o conteúdo de água com sonda de nêutrons. No transeto côncavo, foram abertas duas trincheiras para descrição morfo- lógica e coleta de amostras para caracterização da solução do solo e análises qUÚTIicas,físicas, mineraló- gicas e sedimentológicas. Nas condições do estudo, observou-se maiores conteúdos de água e diferencia- ção dos horizontes do solo no declive côncavo em relação aos convexos. No declive côncavo, o desen- volvimento do horizonte E se dá provavelmente pelo processo de ferrólise, associado à eluviação/iluviação, contrastando com os declives convexos, onde o horizonte E está em processo inicial de formação, provavelmente por eluviação/iluviação, não sendo possível, com base nos dados obtidos, descartar a contribuição da ferrólise. Também quimicamente o declive côncavo diferenciou-se dos convexos, apresen- tando maior concentração de H+ + AI+ 3 e Ar) em su- perfície, enquanto nos convexos a concentração desses elementos aumentou em profundidade. Entre os perfis analisados no transeto côncavo, um no terço inferior do declive, em posição mal drenada, e outro no terço superior, de melhor drenagem, foram observadas dife- rentes características morfológicas, químicas, físicas e sedimentológicas. O perfil inferior apresentou hori- zontes de coloração acinzentada e baixos valores de ferro total, indicando processo de redução do ferro, bem como sua saída do sistema. Já o perfil na posição mais elevada apresentou características que indicam ma maior atuação dos processos de intemperismo, associados à maior lixiviação, pela sua posição no de- clive. Estas variações nas características do solo estão associadas às diferentes formas de declives e posições de um mesmo declive onde se encontram e que condi- cionam a distribuição do conteúdo de água no solo.},
File = {:Ciência Rural/Inda Junior et al_Cienc Rural_1997.pdf:PDF},
Keywords = {gênese, solo-paisagem, umidade, ferrólise, feições morfológicas.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.scielo.br/pdf/cr/v27n4/a30v27n4.pdf}
}
@Article{Inda-JuniorEtAl2003,
Title = {Avaliação de procedimentos de extração dos óxidos de ferro pedogênicos com ditionito-citrato-bicarbonato de sódio},
Author = {A V Inda-Junior And Nestor Kampf},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1139-1147},
Volume = {27},
Year = {2003},
Abstract = {Em 20 amostras hematíticas e goethíticas de horizontes B latossólicos, uma de B plíntico, uma de B incipiente e uma de saprolito, foram avaliados dois procedimentos de extração de óxidos de ferro pedogênicos (Fed) por ditionito-citrato-bicarbonato de sódio (DCB). O procedimento a 80 oC (DCB80) extraiu aproximadamente 90 % do Fed na primeira extração e praticamente a totalidade do mesmo na segunda extração, sendo mais efetivo que o procedimento a temperatura ambiente (DCB20), o qual teve sua eficiência reduzida com o aumento da substituição isomórfica de Fe3+ por Al3+ na goethita. A substituição isomórfica de Fe3+ por Al3+ na goethita determinada por DCB80 superestimou os valores determinados por DRX conforme aumentaram as extrações. Em amostras hematíticas, esta estimativa foi prejudicada pela presença de maghemita que dissolveu juntamente com a hematita.},
Keywords = {extração de ferro, ditionito de sódio, substituição isomórfica},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://www.scielo.br/pdf/rbcs/v27n6/19208.pdf}
}
@Article{Ingber1993,
Title = {Simulated annealing: practice versus theory},
Author = {Ingber, L.},
Journal = {Mathematical and Computer Modelling},
Pages = {29-57},
Volume = {18},
Year = {1993},
Month = {Dec},
Number = {11},
Doi = {10.1016/0895-7177(93)90204-c},
File = {Ingber1993.pdf:Ingber1993.pdf:PDF},
ISSN = {0895-7177},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Electronic{INPE2012,
Title = {TOPODATA - Banco de Dados Geomorfométricos do Brasil},
Author = {INPE},
Month = {December},
Organization = {Instituto Nacional de Pesquisas Espaciais (INPE)},
Url = {http://www.dsr.inpe.br/topodata/index.php},
Year = {2012},
Owner = {mds},
Timestamp = {2012.12.14}
}
@Article{IsakssonEtAl2008,
Title = {Cross-validation and bootstrapping are unreliable in small sample classification},
Author = {A. Isaksson and M. Wallman and H. Göransson and M.G. Gustafsson},
Journal = {Pattern Recognition Letters},
Pages = {1960 - 1965},
Volume = {29},
Year = {2008},
Number = {14},
Abstract = {The interest in statistical classification for critical applications such as diagnoses of patient samples based on supervised learning is rapidly growing. To gain acceptance in applications where the subsequent decisions have serious consequences, e.g. choice of cancer therapy, any such decision support system must come with a reliable performance estimate. Tailored for small sample problems, cross-validation (CV) and bootstrapping (BTS) have been the most commonly used methods to determine such estimates in virtually all branches of science for the last 20 years. Here, we address the often overlooked fact that the uncertainty in a point estimate obtained with CV and BTS is unknown and quite large for small sample classification problems encountered in biomedical applications and elsewhere. To avoid this fundamental problem of employing CV and BTS, until improved alternatives have been established, we suggest that the final classification performance always should be reported in the form of a Bayesian confidence interval obtained from a simple holdout test or using some other method that yields conservative measures of the uncertainty.},
Doi = {10.1016/j.patrec.2008.06.018},
File = {IsakssonEtAl2008.pdf:IsakssonEtAl2008.pdf:PDF},
ISSN = {0167-8655},
Keywords = {Supervised classification; Performance estimation, Confidence interval; redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0167865508002158}
}
@Article{IslamEtAl2000,
Title = {Land use effects on soil quality in a tropical forest ecosystem of Bangladesh},
Author = {K. R. Islam and R. R. Weil},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {9 - 16},
Volume = {79},
Year = {2000},
Number = {1},
Abstract = {Human population pressures upon land resources have increased the need to assess impacts of land use change on soil quality. In order to assess effects of land use changes on soil quality properties in a tropical forest ecosystem of Bangladesh, soil samples were collected from adjacent well-stocked Shorea robusta natural forest, land reforested with Acacia, grassland and cultivated land. Land use/land cover changes (degradation of natural forest and subsequent cultivation of soils) resulted in surface compaction and significant decreases in silt and clay contents, porosity and aggregate stability, N, fulvic and labile C, and microbial biomass C. Maintenance respiration rates increased in comparison to the soils under natural forest. Use of soil deterioration index showed that soil quality deteriorated significantly (-44%) under cultivation, while in sites revegetated with fast-growing Acacia or grasses, it improved by 6-16%. Degradation of soil quality may have resulted from increased disruption of macroaggregates, reductions in microbial biomass, and loss of labile organic matter due to fire, deforestation, tillage and accelerated erosion. Improvement in soil quality and enhanced biological activity at reforested and grassland sites demonstrated the inherent resilience of these soils once revegetated with highly adaptable and fast growing Acacia (Acacia sp.) and grass species.},
Doi = {DOI: 10.1016/S0167-8809(99)00145-0},
File = {IslamEtAl2000.pdf:Agriculture Ecosystems and Environment/IslamEtAl2000.pdf:PDF},
ISSN = {0167-8809},
Keywords = {Deforestation},
Url = {http://www.sciencedirect.com/science/article/B6T3Y-3YXB15N-2/2/88123e10573cc05d7eaa1d38013eed84}
}
@Article{IslamEtAl2000a,
Title = {Soil quality indicator properties in mid-atlantic soils as influenced by conservation management},
Author = {Islam, K R and Weil, R R},
Journal = {Journal of Soil Water Conservation},
Pages = {69-78},
Volume = {55},
Year = {2000},
Number = {1},
Abstract = {Soil quality or rendition is best assessed by soil properties that are neither so permanent as to be insensitive to management, nor so easily changeable as to give little indication of long-term alterations. Thirteen such intermediate properties were evaluated for potential inclusion in a soil quality index by comparing soils under contrasting management systems from long-term replicated field experiments and from paired field sites. Conservation (v. conventional) management was defined as some combination of reduced tillage, increased crop diversity, more perennial crops, increased crop residue return, increased soil fertility and/or increased application of organic amendments. Conservation management most consistently and markedly influenced soil quality indicator properties by increasing total and active microbial biomass carbon (C-TMB and C-AMB) increasing the ratio of active microbial biomass carbon to total organic carbon (C-AMB/C-ORG) increasing aggregation and decreasing the rate of basal respiration per unit of microbial biomass carbon (qCO(2)). The qCO(2) increased exponentially as C-TMB decreased. This may indicate reduced stress on soil microbial communities under conservation management and high microbial populations.},
File = {:Journal of Soil and Water Conservation/Islam and Weil_ J Soil Water Conserv_2000.pdf:PDF},
Owner = {pccli},
Timestamp = {2011.11.14},
Url = {http://enst2.umd.edu/weilsoilqual.pdf}
}
@Techreport{ISRIC2004,
Title = {Report of activities 2002-2003},
Address = {Wageningen},
Author = {ISRIC},
Pages = {28},
Year = {2004},
Institution = {ISRIC - World Soil Information},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.02},
Url = {http://www.isric.org/content/history-isric}
}
@Book{Itaqui2002,
Title = {Quarta Colônia: inventários técnicos (Fourth Cologne: technical inventories)},
Author = {J. Itaqui},
Pages = {256},
Publisher = {Santa Maria: Condesus Quarta Colônia},
Year = {2002},
Edition = {1},
Owner = {Administrador},
Timestamp = {2011.01.19}
}
@Book{IUSSWGWRB2014,
Title = {World {R}eference {B}ase for {S}oil {R}esources 2014. {I}nternational soil classification system for naming soils and creating legends for soil maps},
Address = {Rome},
Author = {IUSS Working Group WRB,},
Pages = {181},
Publisher = {FAO},
Year = {2014},
Note = {{W}orld {S}oil {R}esources {R}eports {N}o. 106},
File = {IUSSWGWRB2014.pdf:IUSSWGWRB2014.pdf:PDF},
Keywords = {FAO; WRB; soil classification; PhDpaper1;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.01.13},
Url = {www.fao.org/3/a-i3794e.pdf}
}
@Book{IUSSWorkingGroupWRB2007,
Title = {World reference base for soil resources 2006 - a framework for international classification, correlation and communication, first update 2007},
Address = {Rome},
Author = {{IUSS Working Group WRB}},
Pages = {116},
Publisher = {FAO},
Year = {2007},
Note = {{W}orld {S}oil {R}esources {R}eports {N}o. 103},
File = {IUSSWorkingGroupWRB2007.pdf:IUSSWorkingGroupWRB2007.pdf:PDF},
Keywords = {FAO; WRB; soil classification; PhDpaper1},
Owner = {alessandro},
Timestamp = {2013.01.13},
Url = {http://www.fao.org/fileadmin/templates/nr/images/resources/pdf_documents/wrb2007_red.pdf}
}
@Book{IUSS2006,
Title = {World reference base for soil resources 2006 - a framework for international classification, correlation and communication},
Address = {Roma},
Author = {{IUSS Working Group WRB}},
Pages = {128},
Publisher = {Food and Agriculture Organization of the United Nations},
Year = {2006},
Edition = {1},
Note = {World Soil Resources Reports No. 103},
File = {IUSS2006.pdf:Book/IUSS2006.pdf:PDF},
Keywords = {fao;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05},
Url = {ftp://ftp.fao.org/agl/agll/docs/wsrr103e.pdf}
}
@Inproceedings{IvanEtAl2012,
Title = {Modelling the uncertainty of slope estimation from {LiDAR}-derived {DEM}: a case study from large-scaled area in {Czech} {Republic}},
Author = {Ivan, Mudron and Michal, Podhoranyi and Juraj, Cirbus and Branislav, Deve?ka and Peter, Bobá and Jozef, Richnavský},
Booktitle = {GIS Ostrava 2012 - Surface models for geosciences},
Pages = {xx-xx},
Year = {2012},
Address = {Ostrava},
Abstract = {This paper summarizes the approach and results of error propagation analyses in the Olše and Stonávka confluence area. In terrain analyses the outputs of the aforementioned analysis are always a function of input. Four different digital elevation model (DEM) resolutions (0.5, 1, 5 and 10 meters from LIDAR cloud points) were examined with Root Mean Square Error (RMSE) rating up to 0.317 meters (10 m DEM). They all originate in LIDAR survey. In the analyses was performed a stochastic Monte Carlo simulation with 100 iterations. Article targets the error propagation for large-scaled area using high quality input DEM. The DEM data uncertainty (RMSE) was computed from samplings and ground research (RTK GPS). According to empirical error distribution it was used semivariogram to model spatially autocorrelated uncertainty in elevation. Second procedure modelled the uncertainty without autocorrelation using random N(0,RMSE) error generator. Based on Monte Carlo simulation method the initial DEM was repeatedly perturbed by the uncertainty. Finally, statistical summaries were drawn to investigate the expected hypothesis. As expected; the error in slopes is increased with the vertical error in input DEM. According to similar studies using different DEM input data, high qualitative LIDAR input data decreases the output uncertainty. Errors without spatial autocorrelation do not result to greater variance in resulting slope error. Therefore it should be challenged, if error propagation without spatial autocorrelation represents sufficiently the true state of the nature of the error representation. In this case; although the slope error results (comparing random uncorrelated and empirical autocorrelated error fields) did not showed statistical significant difference, the input elevation error pattern has not been normally distributed and therefore the random error generator realization is not suitable interpretation of true state of elevation errors. The normal distribution was rejected because of the high kurtosis and extreme values (outliners).},
File = {IvanEtAl2012.pdf:IvanEtAl2012.pdf:PDF},
Keywords = {Uncertainty, Error propagation, Monte Carlo simulation, LIDAR-derived DEM, autocorrelation, RMSE, Slope estimation, redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.02}
}
@Mastersthesis{Iwai2005,
Title = {Tratamento de chorume através de percolação em solos empregados como material de cobertura de aterros para resíduos sólidos urbanos},
Author = {C.K. Iwai},
Pages = {222},
School = {Universidade Estadual Paulista},
Year = {2005},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Manual{JabRef_software,
Title = {JabRef},
Author = {JabRef Development Team,},
Year = {2013},
Url = {http://jabref.sf.net}
}
@Article{Jackson1993,
Title = {Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches},
Author = {Jackson, Donald A.},
Journal = {Ecology},
Pages = {2204-2214},
Volume = {74},
Year = {1993},
Number = {8},
Abstract = {Approaches to determining the number of components to interpret from principal components analysis were compared. Heuristic procedures included: retaining components with eigenvalues (@ls) > 1 (i.e., Kaiser-Guttman criterion); components with bootstrapped @ls > 1 (bootstrapped Kaiser-Guttman); the scree plot; the broken-stick model; and components with @ls totalling to a fixed amount of the total variance. Statistical approaches included: Bartlett's test of sphericity; Bartlett's test of homogeneity of the correlation matrix, Lawley's test of the second @l; bootstrapped confidence limits on successive @l (i.e., significant differences between @ls); and bootstrapped confidence limits on eigenvector coefficients (i.e., coefficients that differ significantly from zero). All methods were compared using simulated data matrices of uniform correlation structure, patterned matrices of varying correlation structure and data sets of lake morphometry, water chemistry, and benthic invertebrate abundance. The most consistent results were obtained from the broken-stick model and a combined measure using bootstrapped @ls and associated eigenvector coefficients. The traditional and bootstrapped Kaiser-Guttman approaches over-estimated the number of nontrivial dimensions as did the fixed-amount-of-variance model. The scree plot consistently estimated one dimension more than the number of simulated dimensions. Barlett's test of sphericity showed inconsistent results. Both Bartlett's test of homogeneity of the correlation matrix and Lawley's test are limited to testing for only one and two dimensions, respectively.},
File = {Jackson1993.pdf:Jackson1993.pdf:PDF},
Keywords = {redemds; pca; principal component analysis; regression},
Url = {http://www.jstor.org/stable/1939574}
}
@Article{JacksonEtAl1991,
Title = {Interpreting vegetation indices},
Author = {Ray D. Jackson and Alfredo R. Huete},
Journal = {Preventive Veterinary Medicine},
Pages = {185-200},
Volume = {11},
Year = {1991},
Abstract = {Remotely sensed spectral vegetation indices are widely used and have benefited numerous disciplines interested in the assessment of biomass, water use, plant stress, plant health and crop production. The successful use of these indices requires knowledge of the units of the input variables used to form the indices, and im understanding of the manner in which the external environment and the architectural aspects of a vegetation canopy influence and alter the computed index values. Although vegetation indices were developed to extract the plant signal only, the soil background, moisture condition, solar zenith angle, view angle, as well as the atmosphere, alter the index values in complex ways. The nature of these problems are explored both in an empirical and in a theoretical sense, and suggestions are offered for the effective use and interpretation of vegetation indices.},
Owner = {Administrador},
Timestamp = {2011.01.24},
Url = {http://www.uprm.edu/biology/profs/chinea/gis/lectesc/intvegindx.pdf}
}
@Techreport{Jacomine200x,
Title = {A nova versão do Sistema Brasileiro de Classificação de Solos},
Address = {Recife},
Author = {Paulo Klinger Tito Jacomine},
Pages = {16},
Year = {200x},
File = {Jacomine200x.pdf:Jacomine200x.pdf:PDF},
Institution = {Universidade Federal Rural de Pernambuco},
Keywords = {SiBCS},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.21}
}
@Techreport{Jacomine2006,
Title = {Reflexões sobre o Sistema Brasileiro de Classificação de Solos (SiBCS, 2006)},
Address = {Recife},
Author = {Paulo Klinger Tito Jacomine},
Pages = {13},
Year = {2006},
File = {Jacomine2006.pdf:Jacomine2006.pdf:PDF},
Institution = {Universidade Federal Rural de Pernambuco},
Keywords = {SiBCS},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.21}
}
@Article{JainEtAl2005,
Title = {Heavy metal content in soil reclaimed from a municipal solid waste landfill},
Author = {Pradeep Jain and Hwidong Kim and Timothy G. Townsend},
Journal = {Waste Management},
Pages = {25-35},
Volume = {25},
Year = {2005},
Doi = {10.1016/j.wasman.2004.08.009},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Inproceedings{Jansen1998,
Title = {Uncertainty analysis of food-chain models},
Author = {M. J.W. Jansen},
Booktitle = {Proceedings of the International Symposium on Applications of Modelling as InnovativeTechnique in the Agri-Food Chain},
Editor = {Tijskens, L.M.M. and Hertog, M.L.A.M.},
Pages = {33-39},
Year = {1998},
Address = {Wageningen},
Abstract = {A simple food chain might be modelled by a train of sub-models, say A, B, C, D?, the output of one sub-model serving as input of the next. The whole food-chain model yields an output y. Each sub-model has to be specified by a set of parameters, which are imperfectly known; it may also be influenced by unpredictable exogenous input. These uncertain inputs are collectively represented by the upward arrows in the diagram. The uncertainty about these inputs is often modelled by considering them as random variables. The random effects propagate through the chain, by which some accumulation will occur. Uncertainty analysis provides methods to study the consequences of these random effects. The goal of such analyses is to evaluate if the joint effect on the final output y is still acceptably small, and to pinpoint the sources that contribute most to the uncertainty about the final output y. The results may be used to assess the potential benefits of control measures and of more accurate estimation of model parameters. At present, most uncertainty analyses are performed computer-experimentally, by Monte Carlo methods. The model output is calculated for a representative sample of the uncertain model inputs. If the sample is large, the computational burden may be considerable. Several statistical methods have been developed to produce efficient Monte Carlo samples in order to keep the computational efforts as small as possible and to efficiently analyse the results. For a survey, see e.g. Helton (1993). In Section 1, uncertainty and uncertainty contributions are characterised in terms of variances and variance components. Section 2 treats standard analyses based on regression-type approximations of the model output, the uncertain inputs serving as regressors. The analysis, which yields uncertainty contributions per individual input, is valid if the regression-approximation is of good quality. The approximation may fail because of non-linearities, especially in combination with a large number of inputs. Moreover, one may be interested in contributions of groups of inputs rather than individual inputs. Section 3 describes how, in such cases, one can have recourse to methods that are not based on regression-approximations, but that are more computer-intensive. Sections 2 and 3 contain examples of uncertainty analyses of models at the beginning of the food-chain. The paper ends with a discussion section.},
File = {Jansen1998.pdf:Jansen1998.pdf:PDF},
Institution = {International Society for Horticultural Science},
Keywords = {uncertainty contributions, variance components, regression-based and regression-free uncertainty analysis; redemds; sensitivity},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.10},
Url = {http://www.actahort.org/}
}
@Article{JanssenEtAl1995,
Title = {Calibration of process-oriented models},
Author = {Janssen, P.H.M. and Heuberger, P.S.C.},
Journal = {Ecological Modelling},
Pages = {55-66},
Volume = {83},
Year = {1995},
Month = {Dec},
Number = {1-2},
Doi = {10.1016/0304-3800(95)00084-9},
File = {JanssenEtAl1995.pdf:JanssenEtAl1995.pdf:PDF},
ISSN = {0304-3800},
Keywords = {cross-validation; performance measures; comparing model predictions and observations; coefficient of determination; ratio of scatter; PhDpaper1},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{JanssenEtAl2005,
Title = {A guidance for assessing and communicating uncertainties},
Author = {Janssen, PH and Petersen, AC and van der Sluijs, JP and Risbey, JS and Ravetz, JR},
Journal = {Water Science and Technology},
Pages = {125-131},
Volume = {52},
Year = {2005},
Number = {6},
Abstract = {In the daily practice of science for policy, as experienced by governmental agencies which inform the policy and the public on the state and outlook of the environment, there is a pressing need for guidance in assessing and communicating uncertainties. This need extends beyond the quantitative assessment of uncertainties in model results, and focuses on the entire process of environmental assessment, running from problem framing towards reporting the results of the study. Using the Netherlands Environmental Assessment Agency (RIVM/MNP) as a case, the development, structure and content of such a guidance system is highlighted. Conditions for a successful implementation of the guidance system are discussed, and some prospects for future work are outlined.},
File = {JanssenEtAl2005.pdf:JanssenEtAl2005.pdf:PDF},
Keywords = {redemds, quickscan},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.30}
}
@Manual{JarvisEtAl2008,
Title = {Hole-filled {SRTM} for the globe version 4},
Author = {A Jarvis and H I Reuter and A Nelson and E Guevara},
Year = {2008},
HowPublished = {online},
Keywords = {PhDpaper1},
Owner = {alessandro},
Timestamp = {31.10.2013},
Url = {http://www.cgiar-csi.org/data/srtm-90m-digital-elevation-database-v4-1}
}
@Article{Jastrow2005,
Title = {Elevated atmospheric carbon dioxide increases soil carbon},
Author = {Julie D. Jastrow},
Journal = {Global Change Biology},
Pages = {2057-2064},
Volume = {11},
Year = {2005},
Abstract = {The general lack of signi?cant changes in mineral soil C stocks during CO 2 -enrichment experiments has cast doubt on predictions that increased soil C can partially offset rising atmospheric CO 2 concentrations. Here, we show, through meta-analysis techniques, that these experiments collectively exhibited a 5.6% increase in soil C over 2?9 years, at a median rate of 19 g C m2 yr1 . We also measured C accrual in deciduous forest and grassland soils, at rates exceeding 40 g C m2 yr1 for 5?8 years, because both systems responded to CO 2 enrichment with large increases in root production. Even though native C stocks were relatively large, over half of the accrued C at both sites was incorporated into microaggregates, which protect C and increase its longevity. Our data, in combination with the meta-analysis, demonstrate the potential for mineral soils in diverse temperate ecosystems to store additional C in response to CO 2 enrichment.},
Keywords = {carbon sequestration, 13 C stable isotope, FACE experiment, meta-analysis, microaggregates, open-top chamber, roots, soil organic matter, sweetgum forest, tallgrass prairie grassland},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{JayalakshmiEtAl2011,
Title = {Statistical normalization and back propagation for classification},
Author = {T. Jayalakshmi and A. Santhakumaran},
Journal = {International Journal of Computer Theory and Engineering},
Pages = {1793-8201},
Volume = {3},
Year = {2011},
File = {JayalakshmiEtAl2011.pdf:International Journal of Computer Theory and Engineering/JayalakshmiEtAl2011.pdf:PDF},
Keywords = {Sigmoidal},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.06}
}
@InCollection{Jelaska2009,
Title = {Vegetation mapping applications},
Author = {S.D. Jelaska},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {21},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {481 - 496},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00021-4},
File = {Jelaska2009.pdf:Jelaska2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {vegetation mapping and its importance},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-11/2/f8cf84534f4a25492987b51ab186480c}
}
@Book{Jenny1941,
Title = {Factors of soil formation - a system of quantitative pedology},
Address = {Toronto},
Author = {Hans Jenny},
Pages = {281},
Publisher = {Dover Publications},
Year = {1994},
File = {Jenny1941.pdf:Book/Jenny1941.pdf:PDF},
ISBN = {0-486-68128-9},
Keywords = {redemds; the soil concept; solo-paisagem; PhDpaper1},
Owner = {Administrador},
Timestamp = {2011.11.03},
Url = {http://202.200.144.17/sykc/hjx/content/ckzl/6/2.pdf}
}
@Article{Jenny1961,
Title = {Derivation of state factor equations of soils and ecosystems},
Author = {Jenny, Hans},
Journal = {Soil Science Society of America Journal},
Pages = {385-388},
Volume = {25},
Year = {1961},
Month = {Sept},
Number = {5},
Doi = {10.2136/sssaj1961.03615995002500050023x},
File = {Jenny1961.pdf:Jenny1961.pdf:PDF},
ISSN = {0361-5995},
Owner = {alessandro},
Publisher = {Soil Science Society of America}
}
@Book{Jensen2009,
Title = {Remote sensing of the environment: an {E}arth resource perspective},
Address = {Harlow},
Author = {Jensen, John R},
Pages = {592},
Publisher = {Prentice Hall},
Year = {2009},
Edition = {2},
Series = {Geographic Information Science},
ISBN = {0131889508},
Owner = {alessandro}
}
@Article{JettenEtAl1999,
Title = {Evaluation of field-scale and catchment-scale soil erosion models},
Author = {Victor Jetten and Ad de Roo and David Favis-Mortlock},
Journal = {Catena},
Pages = {521-541},
Volume = {37},
Year = {1999},
Abstract = {One of the tasks of the International Geosphere?Biosphere Programme?Global Change and Terrestrial Ecosystems (IGBP?GCTE) Soil Erosion Network is to determine the suitability of modelling approaches for the estimation of soil erosion under global change. To achieve this, current erosion models are being evaluated in a series of GCTE meetings. This paper presents a synthesis of results from the first two meetings, which focused upon models for soil erosion by water at field and catchment scales, respectively. Apart from this comparison, discussions were held on model use and quality. The main conclusions from these discussions are included here as well. For both sets of evaluations, common datasets which had been split into a ?training set' and a ?testing set' were prepared and distributed to the participating modellers. For the ?testing set' data, measured values for runoff and sediment yield (field-scale models) or for erosion only (catchment-scale models) were withheld from the modellers. The data used for the field-scale evaluation represented 73 site-years from seven sites in three countries: six field-scale erosion models took part in the evaluation. For the catchment-scale evaluation, data for 10 events on a 40 ha catchment in the Netherlands was used to evaluate seven catchment models. Conclusions from both field-scale and catchment-scale exercises include the following: ? calibration is desirable for many models, and necessary for some. Calibration is most effective if the event(s) to be estimated lie inside the range of calibration events; ? total discharge is generally better predicted than peak discharge and both are better predicted than sediment discharge; ? for continuous-simulation models, long-term average results are better simulated than results for individual time periods. In general, results are less good for shorter time periods, although there are exceptions; ? while for certain events models may not perform well (absolute results), correlation coefficients between observed and predicted values are acceptable (relative results); ? at a catchment scale, the predicted spatial runoff pattern is as important as a correct prediction of the net output; ? from the discussions it was clear that additional ?soft' information, in particular regarding the change in soil structure as a result of agricultural activities and/or climate, greatly improves the quality of input data and model results},
Doi = {doi:10.1016/S0341-8162(99)00037-5},
File = {JettenEtAl1999.pdf:Catena/JettenEtAl1999.pdf:PDF},
Keywords = {Modelling soil erosion; Catchment modelling; Model evaluation; GCTE},
Owner = {Alessandro Samuel Rosa},
Timestamp = {27.07.2010}
}
@Article{Jian-BingEtAl2008,
Title = {Topography and land use effects on the spatial variation of soil organic carbon: a case study in a typical small watershed of the black soil region in northeast China},
Author = {Wei Jian-Bing and Xiao Du-Ning and Zhang Xing-Yi and Li Xiao-Yu},
Journal = {Eurasian Soil Science},
Pages = {44-53},
Volume = {41},
Year = {2008},
Abstract = {Soil organic carbon is a soil property of central importance for soil quality and the global carbon cycle. Studies specifically aimed at the relationship between the spatial variation of soil organic carbon and environmental factors are few. In this paper, a typical small watershed named Tongshuang in the black soil region of northeast China, which was subjected to drastic erosion before 1980 and was managed subtly after 1980, was chosen as a study area. Classical statistic and geostatistic analysis methods, in combination with a geographic information system (GIS), were used to quantitatively research the spatial variation characteristics of the soil organic carbon and their relation to the topographic factors and land use. The data on the soil organic carbon, topographic factors, and land use were obtained by soil sampling and measurements derived from DEM, remote sensing images, and field investigations, respectively. The classical statistics analysis results indi- cated that the variability of the soil organic carbon was moderate (Cv = 0.30). The slope position and land use types were the most discriminating factors. The soil organic carbon content was the highest in the grassland andlowest in the coniferous forest (P < 0.01). It increased gradually along the slope position gradients from the interfluve to the toe slope. The geostatistics analysis showed that the soil organic carbon had a strong spatial correlation. The C0/(C0 + C) was 0.1608, which was mainly induced by structural factors. The mean soil organic content is 2.27% in this watershed. It is on a very low level in the northern black soil of northeast China. In this small watershed of the eroded black soil region, the present soil and water conservation measures play an important role in controlling the soil loss. However, the soil organic carbon?s restoration is unsatisfactory. Nearly three-quarters of the land has worrisome productivity. How to improve the soil organic carbon content while targeting the soil fertility is a pressing need.},
Doi = {10.1134/S1064229308010055},
File = {:Eurasian Soil Science/Jian-bing et al_Eurasian Soil Sci_2008.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Article{Johnson1963,
Title = {The pedon and the polypedon},
Author = {William M. Johnson},
Journal = {Soil Science Society of America Journal},
Pages = {212-215},
Volume = {27},
Year = {1963},
Number = {2},
Abstract = {One of the great difficulties in soil classification is that soils rarely exist as discrete individuals with clear boundaries. Instead, they grade to other soils across broad transition belts and their boundaries are determined by definition. Two new concepts, the pedon and the soil individual, have been proposed to help clarify relations between the soil continuum and soil taxonomic classes. Pedons are real, natural soil volumes just large enough to show all the soil horizons present and their relationships. Boundaries of pedons do not depend on reference to any taxonomic scheme. A soil individual (polypedon) is also a real soil body; it is a parcel of contiguous pedons all of which have characteristics lying within the defined limits of a single soil series. Pedons may be considered as building blocks that make up both soil taxonomic classes and soil mapping units. Most pedons are too small to exhibit all the characteristics of a soil individual; for example, usually they do not show shape of the soil nor nature of its boundaries with other soils. Soil individuals (polypedons) are the subject of soil taxonomy; they are the real objects that are classified. They are comparable to individual pine trees, individual fish, and individual men.},
File = {Johnson1963.pdf:Johnson1963.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.25},
Url = {https://www.crops.org/publications/sssaj/abstracts/27/2/SS0270020212}
}
@Book{JCGM2008,
Title = {Evaluation of measurement data - guide to the expression of uncertainty in measurement},
Address = {Sèvres},
Author = {Joint Committee for Guides in Metrology,},
Pages = {120},
Publisher = {Bureau International des Poids et Mesures},
Year = {2008},
File = {JCGM2008.pdf:JCGM2008.pdf:PDF},
Owner = {alessandro},
Timestamp = {04.09.2013},
Url = {http://www.bipm.org/en/publications/guides/gum.html}
}
@Book{Jolliffe2002,
Title = {Principal component analysis},
Address = {New York},
Author = {I T Jolliffe},
Pages = {519},
Publisher = {Springer},
Year = {2002},
Edition = {2},
File = {Jolliffe2002.pdf:Book/Jolliffe2002.pdf:PDF},
Keywords = {redemds; pca; principal component analysis; regression; mds;},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{Jolliffe1982,
Title = {A note on the use of principal components in regression},
Author = {Jolliffe, Ian T},
Journal = {Applied Statistics},
Pages = {300-303},
Volume = {31},
Year = {1982},
Number = {3},
Abstract = {The use of principal components in regression has received a lot of attention in the literature in the past few years, and the topic is now beginning to appear in textbooks. Along with the use of principal component regression there appears to have been a growth in the misconception that the principal components with small eigenvalues will very rarely be of any use in regression. The purpose of this note is to demonstrate that these components can be as important as those with large variance. This is illustrated with four examples, three of which have already appeared in the literature.},
File = {Jolliffe1982.pdf:Jolliffe1982.pdf:PDF},
Keywords = {principal component analysis; regression},
Owner = {alessandro},
Publisher = {JSTOR},
Timestamp = {21.06.2013},
Url = {http://www.jstor.org/stable/2348005}
}
@Article{JonathanEtAl2000,
Title = {On the use of cross-validation to assess performance in multivariate prediction},
Author = {Jonathan, P. and Krzanowski, W. J. and McCarthy, W. V.},
Journal = {Statistics and Computing},
Pages = {209-229},
Volume = {10},
Year = {2000},
Note = {10.1023/A:1008987426876},
Abstract = {We describe a Monte Carlo investigation of a number of variants of cross-validation for the assessment of performance of predictive models, including different values of k in leave-k-out cross-validation, and implementation either in a one-deep or a two-deep fashion. We assume an underlying linear model that is being fitted using either ridge regression or partial least squares, and vary a number of design factors such as sample size n relative to number of variables p, and error variance. The investigation encompasses both the non-singular (i.e. n > p) and the singular (i.e. n = p) cases. The latter is now common in areas such as chemometrics but has as yet received little rigorous investigation. Results of the experiments enable us to reach some definite conclusions and to make some practical recommendations.},
Doi = {10.1023/A:1008987426876},
File = {JonathanEtAl2000.pdf:JonathanEtAl2000.pdf:PDF},
ISSN = {0960-3174},
Issue = {3},
Keyword = {Mathematics and Statistics},
Keywords = {redemds;},
Publisher = {Springer Netherlands},
Url = {http://dx.doi.org/10.1023/A:1008987426876}
}
@Article{JonesEtAl2006,
Title = {Phytoremediation of landfill leachate},
Author = {D.L. Jones and K.L. Williamson and A.G. Owen},
Journal = {Waste Management},
Pages = {825?837},
Volume = {26},
Year = {2006},
Doi = {10.1016/j.wasman.2005.06.014},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{JongeEtAl2000,
Title = {The microporous structure of organic and mineral soil materials},
Author = {H de Jonge and L W de Jonge and M C Mittelmeijer-Hazeleger},
Journal = {Soil Science},
Pages = {99-108},
Volume = {165},
Year = {2000},
Abstract = {Microporous properties of soil materials are considered important to the physical sequestration processes of contaminants and the influence on risk assessment for chemicals in the environment. We studied the microporous properties of five organic soil materials and two agricultural topsoils and their size separates. The methods used were gas adsorption with N2, CO2, C2H6, C2H4, and C2H2, as well as retention of the polar liquid EGME (ethylene-glycol-dimethyl-ether). Measured surface areas and micropore volumes determined with gas adsorption were strongly dependent on the molecular dimensions of the adsorbent, revealing that dried organic and mineral soil materials behave like rigid structures in the micropore range. A precipitated humic acid behaved differently, revealing a more open and/or homogeneous micropore structure. The EGME-derived surface areas of organic soil materials had a magnitude | similar to the CO2-derived surface areas. The microporous structure of the more rigid soil organic matter (SOM) materials does not seem to be affected strongly by EGME penetration. The SOM rigidity seems to be positively correlated to SOM polarity and negatively correlated to sorption coefficients of naphthalene under wet conditions. The surface areas of mineral soils and size-separates measured with CO2 and EGME were of comparable size in the absence of swelling clay minerals.},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://journals.lww.com/soilsci/Fulltext/2000/02000/The_Effect_of_Sequential_Removal__of_Organic.1.aspx}
}
@Inproceedings{JorgeEtAl2004,
Title = {Monitoramento em aterros sanitários nas fases de encerramento e de recuperação: desempenhos mecânico e ambiental},
Author = {Francisco Nogueira Jorge and Edson Baptisti and Alexandre Gonçalves},
Booktitle = {RESID'2004: Seminário sobre resíduos sólidos},
Publisher = {ABGE},
Year = {2004},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{JouquetEtAl2009,
Title = {Relevance and limitations of biogenic and physicogenic classification: a comparison of approaches for differentiating the origin of soil aggregates},
Author = {Jouquet, P and Zangerle, A and Rumpel, C and Brunet, D and Bottinelli, N and Tran Duc, T},
Journal = {European Journal of Soil Science},
Pages = {1117-1125},
Volume = {60},
Year = {2009},
Number = {6},
Abstract = {Although freshly formed or unaltered biogenic aggregates are easily recognized, identifying the origin of aggregates altered by physical and biological processes remains empirical and prone to error. The aim of this study was to distinguish between biogenic (BIO) and physicogenic (PHYS) aggregates in various states of fragmentation or size classes using visual, physical and chemical characteristics. Casts produced by Amynthas khami (BIO) and surrounding soil aggregates without visible biological activity (PHYS) were left to disaggregate by natural rainfall events and then separated into five size classes of >10, 10–5, 5–2, 2–0.5 and <0.5 mm. We then analysed aggregate morphology, elemental and stable isotope composition and soil stability, and used near-infrared spectroscopy (NIRS) to determine their chemical characteristics. Although visual assessment is the method most commonly used in the field to distinguish between BIO and PHYS, our study found that the results obtained were always prone to error and that the classification was arbitrary for BIO and PHYS aggregates smaller than 5 and 2 mm in size, respectively. Soil structural stability was only useful for identifying BIO aggregates larger than 2 mm. While C content and δ13C in BIO were always different from PHYS, regardless of soil aggregate size, N content and δ15N were similar. NIRS was the most effective method because it clearly discriminated soil aggregates on the basis of size and origin. The NIRS characteristics of BIO were also more uniform than those of PHYS, suggesting that BIO aggregates have a simpler organization and as a consequence more homogeneous ecological functions. Thus, our findings suggest that information may be lost when only the physical aspect of aggregates is used to quantify the activity of ecosystem engineers in soil. After fragmentation, BIO aggregates become hidden and although it may be impossible to distinguish them visually from PHYS aggregates they retain some of their specific chemical characteristics.},
Doi = {10.1111/j.1365-2389.2009.01168.x},
ISSN = {1365-2389},
Publisher = {Blackwell Publishing Ltd},
Url = {http://dx.doi.org/10.1111/j.1365-2389.2009.01168.x}
}
@Article{Journel1980,
Title = {The lognormal approach to predicting local distributions of selective mining unit grades},
Author = {Journel, A.G.},
Journal = {Journal of the International Association for Mathematical Geology},
Pages = {285-303},
Volume = {12},
Year = {1980},
Number = {4},
Doi = {10.1007/BF01029417},
File = {Journel1980.pdf:Journel1980.pdf:PDF},
ISSN = {0020-5958},
Keywords = {geostatistics; lognormal distribution; mine planning; ore reserve estimation; back-transform;},
Language = {English},
Owner = {alessandro},
Publisher = {Kluwer Academic Publishers-Plenum Publishers}
}
@Electronic{EC-JRC-IES2013,
Title = {Resampling techniques in image processing},
Author = {EC-JRC-IES},
Year = {2013},
File = {EC-JRC-IES2013.pdf:EC-JRC-IES2013.pdf:PDF},
Keywords = {Resampling;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Article{JuEtAl2012,
Title = {Continental-scale validation of MODIS-based and \{LEDAPS\} Landsat ETM+ atmospheric correction methods },
Author = {Junchang Ju and David P. Roy and Eric Vermote and Jeffrey Masek and Valeriy Kovalskyy},
Journal = {Remote Sensing of Environment },
Pages = {175 - 184},
Volume = {122},
Year = {2012},
Note = {<ce:title>Landsat Legacy Special Issue</ce:title> },
Number = {0},
Abstract = {The potential of Landsat data processing to provide systematic continental scale products has been demonstrated by several projects including the \{NASA\} Web-enabled Landsat Data (WELD) project. The recent free availability of Landsat data increases the need for robust and efficient atmospheric correction algorithms applicable to large volume Landsat data sets. This paper compares the accuracy of two Landsat atmospheric correction methods: a MODIS-based method and the Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) method. Both methods are based on the 6SV radiative transfer code but have different atmospheric characterization approaches. The MODIS-based method uses the \{MODIS\} Terra derived dynamic aerosol type, aerosol optical thickness, and water vapor to atmospherically correct ETM+ acquisitions in each coincident orbit. The \{LEDAPS\} method uses aerosol characterizations derived independently from each Landsat acquisition and assumes a fixed continental aerosol type and uses ancillary water vapor. Validation results are presented comparing ETM+ atmospherically corrected data generated using these two methods with \{AERONET\} corrected ETM+ data for 95 10 km × 10 km 30 m subsets, a total of nearly 8 million 30 m pixels, located across the conterminous United States. The results indicate that the MODIS-based method has better accuracy than the \{LEDAPS\} method for the ETM+ red and longer wavelength bands. },
Doi = {http://dx.doi.org/10.1016/j.rse.2011.12.025},
File = {JuEtAl2012.pdf:JuEtAl2012.pdf:PDF},
ISSN = {0034-4257},
Keywords = {Landsat; dip; atcorr;},
Url = {http://www.sciencedirect.com/science/article/pii/S003442571200051X}
}
@Article{JunkEtAl2005,
Title = {Pantanal: a large South American wetland at a crossroads},
Author = {Wolfgang J. Junk and Catia Nunes Cunha},
Journal = {Ecological Engineering},
Pages = {391-401},
Volume = {24},
Year = {2005},
Abstract = {The Pantanal, a large and still rather pristine wetland in the center of the South American continent, is becoming increasingly threatened by large development programs. Agroindustries and reservoirs for hydroelectric power generation in the catchment area modify discharge pattern and sediment load of the tributaries, plans for canalization of the Paraguay River (hidrovia) are putting in risk the natural ?ood regime of large areas inside the Pantanal, and attract industries with high potential for environmental pollution, economic pressure on the traditional cattle ranchers accelerates the transformation of natural vegetation into pasture, etc. These activities negatively affect habitat and species diversity and scenic beauty but also the hydrological buffer capacity of the Pantanal. The article summarizes the ecological conditions of the Pantanal, discusses commercial and non-commercial values of the area, describes constraints for the development of intensive agriculture and cattle ranching, and discusses development alternatives. Considering the low density of human population inside the Pantanal, it can be concluded that development pressure on the Pantanal arises mostly from pressure groups outside the area that will also mostly bene?t from the economic return of the development projects. Low density of human population would still allow the application of economically viable and environmentally friendly development alternatives that maintain and sustainably manage one of the largest wetlands in the world.},
Doi = {10.1016/j.ecoleng.2004.11.012},
File = {:Ecological Engineering/Junk & Cunha_Ecol Eng_2005.pdf:PDF},
Keywords = {Pantanal; Floodplain; Sustainable management},
Owner = {Administrador},
Timestamp = {2010.12.29}
}
@Article{JunrenEtAl2009,
Title = {Carbon stock and allocation of five restoration ecosystems in subalpine coniferous forest zone in Western Sichuan Province, Southwest China},
Author = {Xian Junren and Zhang Yuanbin and Hu Tingxing and Wang Kaiyun and Yang Hua},
Journal = {Acta Ecologica Sinica},
Pages = {51-55},
Volume = {29},
Year = {2009},
Abstract = {As the largest carbon pool of the terrestrial ecosystem, forest plays a key role in sequestrating and reserving greenhouse gases. With the method of replacing space with time, the typical restoration ecosystems of herb (dominated by Deyeuxia scabrescens, P1), shrub (dominated by Salix paraqplesia, P2), broadleaf (dominated by Betula platyphylla, P3), mixed forest (dominated by Betula spp. and Abies faxoniana, P4), and climax (dominated by Abies faxoniana, P5) were selected to quantify the carbon stock and allocation in the subalpine coniferous forest in Western Sichuan (SCFS). The results indicated that the soil organism carbon (SOC) stock decreased with the depth of soil layer, and the SOC per layer and the total SOC increased largely with the vegetation restoration. The contribution of SOC to the carbon stock of ecosystems decreased with the vegetation restoration from 89.45% to 27.06%, while the quantity was from 94.00 to 223.00 t C hm2. The carbon stock in ground cover increased with the vegetation restoration, and its contribution to the carbon stock of ecosystems was similar (3?4% of the total). Following the vegetation restoration, the plant carbon stock multiplied and reached to 430.86 ± 49.49 t C hm2 at the climax phase. During the restoration, the carbon stock of different layers increased, and the contribution of belowground to the carbon stock of ecosystems decreased sharply. The carbon stock on ecosystem scale of the climax phase was 5.89 times that of the herb phase. Our results highlighted that the vegetation restoration in SCFS was a large carbon sink.},
Doi = {10.1016/j.chnaes.2009.04.007},
File = {JunrenEtAl2009.pdf:Acta Ecologica Sinica/JunrenEtAl2009.pdf:PDF},
Keywords = {Carbon stock; Ecosystem; Vegetation restoration; Subalpine},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{KonigEtAl2002,
Title = {Devolução de nutrientes via serapilheira em um fragmento de floresta estacional decidual no município de {S}anta {M}aria, {RS}},
Author = {Flávia Gisele K{\"o}nig and Eleandro José Brun and Mauro Valdir Schumacher and Solon Jonas Longhi},
Journal = {Brasil Florestal},
Pages = {45-52},
Volume = {21},
Year = {2002},
Abstract = {Este estudo objetivou avaliar a deposição de nutrientes através da serapilheira produzida em um fragmento de floresta estacional decidual no município de Santa Maria, RS. Para o experimento, foram instaladas parcelas de 18 m x 20 m em seis áreas com características ambientais semelhantes, onde, em cada uma delas, foram alocados cinco coletores circulares, de 50 cm de diâmetro. As coletas de serapilheira foram realizadas mensalmente, durante um ano. A produção total de serapilheira foi de 9172 kg ha-1 (folhas 67,8%, galhos finos 19,3% e miscelânea 12,9%). O teor médio anual dos elementos na serapilheira foi de: 20,4 g kg-1 de N, 1,3 g kg-1 de P, 11,8 g kg-1 de K, 20,2 g kg-1 de Ca e 3,2 g kg-1 de Mg. Na fração folhas foram obtidos os maiores teores de K, Ca e Mg. Para o N e P, os maiores teores foram encontrados na fração miscelânea. O teor de elementos na serapilheira apresentou variações significativas durante o ano, demonstrando que a serapilheira influencia o fornecimento de nutrientes ao solo de forma sazonal, em função de sua qualidade e de sua quantidade. Através da serapilheira foram devolvidos ao solo, em kg ha-1, 196 de N, 11 de P, 114 de K, 201 de Ca e 32 de Mg, demonstrando o grande potencial da serapilheira na manutenção d.a sustentabilidade da floresta.},
Keywords = {nutrientes, serapilheira, floresta estacional decidual, sustentabilidade; dnos},
Owner = {Administrador},
Timestamp = {2010.12.28},
Url = {http://www.ibama.gov.br/ojs/index.php/braflor/article/viewArticle/110}
}
@Techreport{KaimiEtAl2010,
Title = {Analysing the spatio-temporal distribution of crime in {L}ancashire},
Author = {Irene Kaimi and Peter Diggle and Alex Rodrigues},
Pages = {3},
Year = {2010},
File = {KaimiEtAl2010.pdf:KaimiEtAl2010.pdf:PDF},
Keywords = {ppp; point pattern analysis;},
Owner = {alessandro},
Timestamp = {03.12.2013},
Url = {http://www.lancs.ac.uk/staff/diggle/MADE/MethodsNewsMADE.pdf}
}
@Article{Kaiser1970,
Title = {A second generation little jiffy},
Author = {Kaiser, Henry},
Journal = {Psychometrika},
Pages = {401-415},
Volume = {35},
Year = {1970},
Note = {10.1007/BF02291817},
Affiliation = {University of California Berkeley Berkeley},
ISSN = {0033-3123},
Issue = {4},
Keyword = {Behavioral Science},
Keywords = {redemds},
Publisher = {Springer New York},
Url = {http://dx.doi.org/10.1007/BF02291817}
}
@Article{Kaiser1958,
Title = {The varimax criterion for analytic rotation in factor analysis},
Author = {H F Kaiser},
Journal = {Psychometrika},
Pages = {187-200},
Volume = {23},
Year = {1958},
Abstract = {An analytic criterion for rotation is defined. The scientific advantage of analytic criteria over subjective (graphical) rotational procedures is dis- cussed. Carroll's criterion and the quartimax criterion are briefly reviewed; the varimax criterion is outlined in detail and contrasted both logically and numerically with the quartimax criterion. It is shown that the normal varimax solution probably coincides closely to the application of the principle of simple structure. However, it is proposed that the ultimate criterion of a rotational procedure is factorial invariance, not simple structure-although the two notions appear to be highly related. The normal varimax criterion is shown to be a two-dimensional generalization of the classic Spearman case, i.e., it shows perfect factorial invariance for two pure clusters. An example is given of the invariance of a normal varimax solution for more than two factors. The oblique normal varimax criterion is stated. A computational out- line for the orthogonal normal varimax is appended.},
Keywords = {redemds; pca;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2010},
Url = {http://www.springerlink.com/index/977786th55m62671.pdf}
}
@Article{KaiserEtAl2003,
Title = {Mineral surfaces and soil organic matter},
Author = {K. Kaiser and G. Guggenberger},
Journal = {European Journal of Soil Science},
Pages = {219-236},
Volume = {54},
Year = {2003},
Abstract = {The organic carbon content of soil is positively related to the specific surface area (SSA), but large amounts of organic matter in soil result in reduced SSA as determined by applying the Brunauer?Emmett?Teller (BET) equation to the adsorption of N2. To elucidate some of the controlling mechanisms of this relation, we determined the SSA and the enthalpy of N2 adsorption of separates with a density > 1.6 g cm?3 from 196 mineral horizons of forest soils before and after removal of organic matter with NaOCl. Likewise, we investigated these characteristics before and after sorption of increasing amounts of organic matter to four mineral soil samples, oxides (amorphous Al(OH)3, gibbsite, ferrihydrite, goethite, haematite), and phyllosilicates (kaolinite, illite). Sorption of organic matter reduced the SSA, depending on the amount sorbed and the type of mineral. The reduction in SSA decreased at larger organic matter loadings. The SSA of the mineral soils was positively related to the content of Fe oxyhydroxides and negatively related to the content of organic C. The strong reduction in SSA at small loadings was due primarily to the decrease in the micropores to which N2 was accessible. This suggests preferential sorption of organic matter at reactive sites in or at the mouths of micropores during the initial sorption and attachment to less reactive sites at increasing loadings. The exponential decrease of the heat of gas adsorption with the surface loading points also to a filling or clogging of micropores at early stages of organic matter accumulation. Desorption induced a small recovery of the total SSA but not of the micropore surface area. Destruction of organic matter increased the SSA of all soil samples. The SSA of the uncovered mineral matrix related strongly to the amounts of Fe oxyhydroxides and the clay. Normalized to C removed, the increase in SSA was small in topsoils and illuvial horizons of Podzols rich in C and large for the subsoils containing little C. This suggests that micropores preferentially associate with organic matter, especially at small loadings. The coverage of the surface of the soil mineral matrix as calculated from the SSA before and after destruction of organic matter was correlated only with depth, and the relation appeared to be linear. We conclude that mineralogy is the primary control of the relation between surface area and sorption of organic matter within same soil compartments (i.e. horizons). But at the scale of complete profiles, the surface accumulation and stabilization of organic matter is additionally determined by its input.},
Doi = {10.1046/j.1365-2389.2003.00544.x},
File = {:European Journal of Soil Science/Kaiser & Guggenberger_Eur J Soil Sci_2003.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{KalivasEtAl2002,
Title = {Spatial prediction of two soil properties using topographic information},
Author = {D. P. Kalivas and D. P. Triantakonstatis and V. J. Kollias},
Journal = {Global Nest Journal},
Pages = {41-49},
Volume = {4},
Year = {2002},
Abstract = {The objective of this study was to determine whether the use of the co-regionalization of the distance-to-river topographic variable with the soil properties topsoil clay and sand can improve their mapping. The interpolation techniques: ordinary kriging, kriging combined with regression (two models) and heterotopic co-kriging were applied to data from 153 observation points. The two models of kriging combined with regression involve: (a) linear regression of the two soil variables with the distance-to-river variable on the 153 observation points followed by kriging and (b) summation of the kriged regression values and kriged regression residuals. For co-kriging 350 additional observations for the distance-to-river-variable were employed. The distance-to-river data were easily obtained from the map of the area which was stored in a Geographical Information System (GIS). The performances of the methods were evaluated and compared using the cross-validation method. The mean error of prediction indicates reasonably small bias of prediction for the two soil variables by almost all the methods. The mean square error showed that heterotopic co-kriging produced better estimates of the soil variables than kriging but there was a clear advantage in using the first model of kriging combined with linear regression technique. The second model of kriging combined with regression does not show any particular advantage over the other methods.},
File = {:Global Nest Journal/Kalivas et al_Global Nest_2002.pdf:PDF},
Keywords = {kriging, regression kriging, co-kriging, clay, sand, distance to river, redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://goo.gl/xiOf8}
}
@Article{KamoniEtAl2007,
Title = {Predicted soil organic carbon stocks and changes in Kenya between 1990 and 2030},
Author = {P.T. Kamoni and P.T. Gicheru and S.M. Wokabi and M. Easter and E. Milne and K. Coleman and P. Falloon and K. Paustian},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {105-113},
Volume = {122},
Year = {2007},
Abstract = {Under the United Nations Framework Convention on Climate Change (UNFCCC), Non-Annex 1 countries such as Kenya are obliged to report green house gas (GHG) emissions from all sources where possible, including those from soils as a result of changes in land use or land management. At present, the convention encourages countries to estimate emissions using the most advanced methods possible, given the country circumstances and resources. Estimates of soil organic carbon (SOC) stocks and changes were made for Kenya using the Global Environment Facility Soil Organic Carbon (GEFSOC) Modelling System. The tool conducts analysis using three methods: (1) the Century general ecosystem model; (2) the RothC soil C decomposition model; and (3) the Intergovernmental Panel on Climate Change (IPCC) method for assessing soil C at regional scales. The required datasets included: land use history, monthly mean precipitation, monthly mean minimum and maximum temperatures for all the agro-climatic zones of Kenya and historical vegetation cover. Soil C stocks of 1.4?2.0 Pg (0?20 cm), compared well with a Soil and Terrain (SOTER) based approach that estimated 1.8?2.0 Pg (0?30 cm). In 1990 48% of the country had SOC stocks of <18 t C ha1 and 20% of the country had SOC stocks of 18?30 t C ha1, whereas in 2000 56% of the country had SOC stocks of <18 t C ha1 and 31% of the country had SOC stocks of 18?30 t C ha1. Conversion of natural vegetation to annual crops led to the greatest soil C losses. Simulations suggest that soil C losses remain substantial throughout the modelling period of 1990?2030. All three methods involved in the GEFSOC System estimated that there would be a net loss of soil C between 2000 and 2030 in Kenya. The decline was more marked with RothC than with Century or the IPCC method. In non-hydric soils the SOC change rates were more pronounced in high sandy soils compared to high clay soils in most land use systems.},
Doi = {10.1016/j.agee.2007.01.024},
File = {KamoniEtAl2007.pdf:Agriculture Ecosystems and Environment/KamoniEtAl2007.pdf:PDF},
Keywords = {Kenya; Soil organic carbon stocks; Modelling; Century; RothC; Soil C losses},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{Kaempf1995,
Title = {Haloisitas em saprólitos de rochas vulcânicas do Rio Grande do Sul},
Author = {N Kämpf},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {179-184},
Volume = {19},
Year = {1995},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{KaempfEtAl1995,
Title = {Estrutura básica de argilomineral 2:1 com hidróxi-Al entrecamadas em Latossolo Bruno do Rio Grande do Sul},
Author = {N Kämpf and A C De Azevedo and M I Da Costra.Jr},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {185-190},
Volume = {19},
Year = {1995},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{KaempfEtAl1984,
Title = {Óxidos de ferro em Cambissolos Brunos no Rio Grande do Sul e Minas Gerais},
Author = {Nestor Kämpf and D P Dick},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {183-188},
Volume = {8},
Year = {1984},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVMzA3ZmU4MGYtNDZkOS00ODgwLTg1OTYtYmU1ZGEzZGU3ZDMx&hl=en&authkey=CNKFjooD}
}
@Article{KaempfEtAl1978,
Title = {Mineralogia e gênese de Latossolos (Oxisols) e Podzólicos da região Nordeste do Planalto sul-riograndense},
Author = {N Kämpf and E Klamt},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {68-73},
Volume = {2},
Year = {1978},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVZTMwZDA0ZmUtYWEwNi00NDQzLWE5MzItZjgyNDE0M2Y1YjYw&hl=en&authkey=CJul3Y0E}
}
@Article{KaempfEtAl1995a,
Title = {Alterações mineralógicas em sequência Vertissolo-Litossolo na região da Campanha no Rio Grande do Sul},
Author = {N Kämpf and P Scheneider and P F Mello},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {349-357},
Volume = {19},
Year = {1995},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{KaempfEtAl1989,
Title = {Caracterização de solos orgânicos do Rio Grande do Sul: propriedades morfológicas e físicas como subsídios à classificação},
Author = {N Kämpf and P Schneider},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {227-236},
Volume = {13},
Year = {1989},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVMjNkODI1OTgtNmRhNi00ODc0LTllNDAtZGY0ZmVjYzQ3OTk0&hl=en&authkey=CNPfwdQO}
}
@Article{KaempfEtAl1995b,
Title = {Goethitas na interface solo-rocha em amostras do Rio Grande do Sul e Minas Gerais},
Author = {N Kämpf and U Schwertmann},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {359-366},
Volume = {19},
Year = {1995},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{KaempfEtAl1983,
Title = {Relações entre óxidos de ferro e a cor em solos cauliníticos do Rio Grande do Sul},
Author = {N Kämpf and U Schwertmann},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {27-31},
Volume = {7},
Year = {1983},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVMDQwMDEzNjQtNzdhMi00NTI5LTg2ZTQtZTljZmY5Y2I0YWQ5&hl=en&authkey=COHukbcC}
}
@Article{KaempfEtAl1983a,
Title = {Goethite and hematite in a climossequence in southern Brazil and their application in classification of kaolinitic soils},
Author = {Kämpf, Nestor and Schwertmann, Udo},
Journal = {Geoderma},
Pages = {27-39},
Volume = {29},
Year = {1983},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
@Article{KarlenEtAl1997,
Title = {Soil quality: a concept, definition and framework for evaluation},
Author = {Karlen, D.L. and Mausbach, M.J. and Doran, J.W. and Cline, R.G. and Harris, R.F. and Schuman, G.E.},
Journal = {Soil Science Society of America Journal},
Pages = {4-10},
Volume = {61},
Year = {1997},
File = {KarlenEtAl1997.pdf:Soil Science Society of America Journal/KarlenEtAl1997.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.31}
}
@Article{KarlenEtAl2003,
Title = {Soil quality: humankind's foundation for survival a research editorial by conservation professionals},
Author = {Karlen, D. L. and Andrews, S. S. and Weinhold, B. J. and Doran, J. W.},
Journal = {Journal of Soil and Water Conservation},
Pages = {171-179},
Volume = {58},
Year = {2003},
Number = {4},
Abstract = {During the past decade, soil quality research and education programs have increased exponentially throughout the world. Educational and assessment approaches, ranging from simple scorecard and test-kit monitoring to comprehensive quantitative assessments and indexing using soils databases, have been pursued. The programs have emphasized that soil quality is not “an end in itself” but rather a tool for evaluating and understanding the effects of soil management on a specific soil resource. The approaches have stressed that to determine how well a soil is functioning, inherent and dynamic soil properties and processes must be evaluated using biological, chemical, and physical indicators. No soil quality researcher has ever envisioned the concept would replace modern soil survey programs or diminish the importance of scientifically based soil management strategies. Herein, we present the scientific merits of soil quality research.},
Eprint = {http://www.jswconline.org/content/58/4/171.full.pdf+html},
File = {KarlenEtAl2003.pdf:KarlenEtAl2003.pdf:PDF},
Url = {http://www.jswconline.org/content/58/4/171.abstract}
}
@Article{KarlenEtAl2003a,
Title = {Soil quality: why and how?},
Author = {Douglas L. Karlen and Craig A. Ditzler and Susan S. Andrews},
Journal = {Geoderma},
Pages = {145-156},
Volume = {114},
Year = {2003},
File = {KarlenEtAl2003a.pdf:KarlenEtAl2003a.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.24}
}
@Book{KaufmanEtAl2005,
Title = {Finding groups in data: an introduction to cluster analysis},
Author = {Leonard Kaufman and Peter J. Rousseeuw},
Pages = {342},
Publisher = {New Jersey: John Wiley and Sons},
Year = {2005},
Edition = {1},
File = {KaufmanEtAl2005.pdf:Book/KaufmanEtAl2005.pdf:PDF},
Owner = {pccli},
Timestamp = {2011.06.02}
}
@Article{Kazdin1999,
Title = {The meanings and measurement of clinical significance},
Author = {Kazdin, A E},
Journal = {Journal of Counsulting and Clinical Psychology},
Pages = {332-339},
Volume = {67},
Year = {1999},
Abstract = {The previous articles in this special section make the case for the importance of evaluating the clinical significance of therapeutic change, present key measures and innovative ways in which they are applied, and more generally provide important guidelines for evaluating therapeutic change. Fundamental issues raised by the concept of clinical significance and the methods discussed in the previous articles serve as the basis of the present comments. Salient among these issues are ambiguities regarding the meaning of current measures of clinical significance, the importance of relating assessment of clinical significance to the goals of therapy, and evaluation of the construct(s) that clinical significance reflects. Research directions that are discussed include developing a typology of therapy goals, evaluating cutoff scores and thresholds for clinical significance, and attending to social as well as clinical impact of treatment.},
File = {Kazdin1999.pdf:Kazdin1999.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.23}
}
@Inproceedings{Keefer2007,
Title = {A framework and methods for characterizing uncertainty in geologic maps},
Author = {Donald A. Keefer},
Pages = {5},
Year = {2007},
Abstract = {Geologic maps are products of complex analyses and interpretations, and as such, contain a certain amount of uncertainty. Unfortunately, it is difficult to estimate the uncertainty within a geologic map. Much of this difficulty is due to the lack of a clear framework for describing the sources of uncertainty within the map and poor awareness, within the mapping community, of methods capable of estimating these sources of uncertainty. Mann (1993) provides a discussion of uncertainty in geology and a framework for identifying the sources of uncertainty. His discussion is not limited to maps, but focuses more on data. Bardossy and Fodor (2001) use Mann?s (1993) framework and extend his ideas by proposing four groups of mathematical methods that can be applied to characterize uncertainty in geology. Their discussion provides some innovative suggestions of methods for estimating uncertainty. As with Mann?s (1993) treatment, they focus most of their discussion on data issues and do not provide any recommendations for conducting a comprehensive evaluation of uncertainty within geologic maps. I will present a framework for characterizing the sources of uncertainty in geologic maps which builds significantly on the insights provided by Mann (1993). I will extend Bardossy and Fodor?s (2001) discussion by presenting a larger suite of practical methods for characterizing the uncertainty in geologic maps due to these different sources. Finally, I will briefly discuss concerns for conducting a more comprehensive, integrated evaluation of uncertainty in geologic maps and for interpreting and applying the results from such a comprehensive uncertainty analysis.},
File = {Keefer2007.pdf:Anais/Keefer2007.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.30}
}
@Conference{Keefer2007a,
Title = {A framework and methods for characterizing uncertainty in geologic maps},
Author = {Donald A. Keefer},
Year = {2007},
File = {Keefer2007a.pdf:conference/Keefer2007a.pdf:PDF},
Keywords = {geologic complexity},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.30}
}
@Article{KellnerEtAl2009,
Title = {Aplicação de indicadores de sustentabilidade para lagoas de estabilização.},
Author = {Erich Kellner and Maria do Carmo Calijuri and Eduardo Cleto Pires},
Journal = {Engenharia Sanitaria e Ambiental },
Pages = {455-464},
Volume = {14},
Year = {2009},
Abstract = {A escolha de uma alternativa tecnológica para tratamento de efluentes, assim como o local para implantação deve ser precedida de um estudo de sustentabilidade do ambiente. Foi proposto um método para avaliação da sustentabilidade de estações de tratamento de esgoto, baseado nas características ambientais, sociais e econômico-financeiras dessas unidades. O método foi aplicado em três ETE, constituídas por lagoas de estabilização, localizadas nos municípios de Cajati, Jacupiranga e Pariquera-Açu, todas pertencentes à bacia do Baixo Ribeira de Iguape (SP). A falta de dados para alguns parâmetros considerados na composição dos indicadores prejudicou a obtenção de valores mais realistas. O método proposto mostrou-se de fácil visualização da condição de sustentabilidade das ETE constituídas por lagoas de estabilização.},
File = {:Engenharia Sanitária e Ambiental/Kellner et al_Eng Sanit Ambient_2009.pdf:PDF},
Keywords = {indicadores de sustentabilidade; lagoas de estabilização; sustentabilidade ambiental.},
Language = {english},
Owner = {Administrador},
Publisher = {scielo},
Timestamp = {2010.12.05},
Url = {http://www.abes-dn.org.br/publicacoes/engenharia/resaonline/v14n04/RESAv14n4_p455-64.pdf}
}
@Phdthesis{Kempen2011,
Title = {Updating soil information with digital soil mapping},
Author = {Bas Kempen},
Pages = {218},
School = {Wageningen University},
Year = {2011},
File = {Kempen2011.pdf:Kempen2011.pdf:PDF},
Keywords = {akaike;},
Owner = {alessandro},
Timestamp = {2013.04.29},
Url = {http://edepot.wur.nl/187198}
}
@Article{KempenEtAl2011,
Title = {Three-dimensional mapping of soil organic matter content using soil type–specific depth functions},
Author = {Kempen, B. and Brus, D.J. and Stoorvogel, J.J.},
Journal = {Geoderma},
Pages = {107–123},
Volume = {162},
Year = {2011},
Month = {Apr},
Number = {1-2},
Doi = {10.1016/j.geoderma.2011.01.010},
File = {KempenEtAl2011.pdf:KempenEtAl2011.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{KempenEtAl2012a,
Title = {Soil type mapping using the generalised linear geostatistical model: a case study in a {D}utch cultivated peatland},
Author = {Kempen, Bas and Brus, Dick J. and Heuvelink, Gerard B M},
Journal = {Geoderma},
Pages = {540-553},
Volume = {189-190},
Year = {2012},
Month = {Nov},
Doi = {10.1016/j.geoderma.2012.05.028},
File = {KempenEtAl2012a.pdf:KempenEtAl2012a.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{KempenEtAl2009,
Title = {Updating the 1:50,000 {D}utch soil map using legacy soil data: a multinomial logistic regression approach},
Author = {Bas Kempen and Dick J Brus and Gerard B M Heuvelink and Jetse J Stoorvogel},
Journal = {Geoderma},
Pages = {311-326},
Volume = {151},
Year = {2009},
Abstract = {The 1:50,000 national soil survey of the Netherlands, completed in the early 1990s after more than three decades of mapping, is gradually becoming outdated. Large-scale changes in land and water management that took place after the field surveys have had a great impact on the soil. Especially oxidation of peat soils has resulted in a substantial decline of these soils. The aim of this research was to update the national soil map for the province of Drenthe (2680 km2) without additional fieldwork through digital soil mapping using legacy soil data. Multinomial logistic regression was used to quantify the relationship between ancillary variables and soil group. Special attention was given to model-building as this is perhaps the most crucial step in digital soil mapping. A framework for building a logistic regression model was taken from the literature and adapted for the purpose of soil mapping. The model-building process was guided by pedological expert knowledge to ensure that the final regression model is not only statistically sound but also pedologically plausible. We built separate models for the ten major map units, representing the main soil groups, of the national soil map for the province of Drenthe. The calibrated models were used to estimate the probability of occurrence of soil groups on a 25 m grid. Shannon entropy was used to quantify the uncertainty of the updated soil map, and the updated soil map was validated by an independent probability sample. The theoretical purity of the updated map was 67%. The estimated actual purity of the updated map, as assessed by the validation sample, was 58%, which is 6% larger than the actual purity of the national soil map. The discrepancy between theoretical and actual purity might be explained by the spatial clustering of the soil profile observations used to calibrate the multinomial logistic regression models and by the age difference between calibration and validation observations.},
Doi = {10.1016/j.geoderma.2009.04.023},
File = {:Geoderma/Kempen et al_Geoderma_2009.pdf:PDF},
Keywords = {Digital soil mapping, Sampling, Soil survey, Expert knowledge, Validation, the Netherlands; redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{KempenEtAl2012,
Title = {Efficiency comparison of conventional and digital soil mapping for updating soil maps},
Author = {Bas Kempen and Dick J. Brus and Jetse J. Stoorvogel and Gerard B.M. Heuvelink and Folkert de Vries},
Journal = {Soil Science Society of America Journal},
Pages = {2097-2115},
Volume = {76},
Year = {2012},
Number = {6},
Abstract = {This study compared the efficiency of geostatistical digital soil mapping (DSM) with conventional soil mapping (CSM) for updating soil class and property maps of a cultivated peatland in the Netherlands. For digital soil class mapping, the generalized linear geostatistical model was used. Digital mapping of the soil organic matter (SOM) content and peat thickness was done by universal kriging. The conventional soil class map was created by free survey, while the property maps were created with the representative profile description (RPD) and map unit means (MUM) methods. For each method, we computed the effort invested in the mapping in terms of the sampling and cost densities. The accuracies of the created soil maps were estimated from independent probability sample data. The results showed that for DSM, the cost density could be reduced by a factor of three compared with CSM without compromising accuracy. The map purity of both maps was around 55%. For conventional soil property mapping, the MUM maps were more accurate than the RPD maps. For SOM, CSM-MUM (RMSE 7.5%) performed better than DSM (RMSE 12.1%), although accuracy differences were not significant. For peat thickness, DSM (RMSE 23.3 cm) performed slightly better than CSM-MUM (RMSE 24.9 cm). Despite the differences in accuracy being small, the digital soil property maps were produced more efficiently. The cost density was a factor of 3.5 smaller. We conclude that for updating conventional soil maps in the Dutch peatlands, geostatistical DSM can be more efficient, although not necessarily more accurate, than CSM.},
Doi = {10.2136/sssaj2011.0424},
File = {KempenEtAl2012.pdf:KempenEtAl2012.pdf:PDF},
Groups = {public},
Keywords = {cost model; pedometrics;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.11}
}
@Article{KempenEtAl2010,
Title = {Pedometric mapping of soil organic matter using a soil map with quantified uncertainty},
Author = {Kempen, B and Heuvelink, G B M and Brus, D J and Stoorvogel, J J},
Journal = {European Journal of Soil Science},
Pages = {333-347},
Volume = {61},
Year = {2010},
Number = {3},
Doi = {10.1111/j.1365-2389.2010.01232.x},
File = {KempenEtAl2010.pdf:KempenEtAl2010.pdf:PDF},
Keywords = {mean squared deviation ratio; scaled root-mean squared error; PhDpaper1},
Publisher = {Wiley Online Library}
}
@Book{Kendal1957,
Title = {A course in multivariate analysis},
Author = {M G Kendal},
Pages = {70-75},
Year = {1957},
Keywords = {principal component regression},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.05.03}
}
@Inproceedings{KerEtAl2003,
Title = {Fundamentos para desenvolvimento da pedologia e da fertilidade do solo},
Author = {Ker, J.C. and Novais, R.F.},
Booktitle = {XXIX Congresso Brasileiro de Ciência do Solo, 2003, Ribeirão Preto, 2003.},
Pages = {27},
Year = {2003},
File = {KerEtAl2003.pdf:Anais/KerEtAl2003.pdf:PDF},
Owner = {pccli},
Timestamp = {2011.12.14},
Url = {http://jararaca.ufsm.br/websites/dalmolin/download/textospl/fundame.pdf}
}
@Article{Ker1999,
Title = {O futuro da pedologia no Brasi},
Author = {Ker, J. C.},
Journal = {Boletim Informativo da Sociedade Brasileira de Ciência do Solo},
Pages = {18-21},
Volume = {24},
Year = {1999},
Owner = {alessandro},
Timestamp = {2013.04.28}
}
@Article{Ker1998,
Title = {Latossolos do {Brasil}: uma revisão},
Author = {João Carlos Ker},
Journal = {Geônomos},
Pages = {17-40},
Volume = {5},
Year = {1998},
Abstract = {This paper presents a review on Latosols (oxisols) genesis, classification and use in tropical Brazil. Chemical, physical and mineralogical aspects are throughly discussed, as well as their relationship with soil use and management. Some problems of definition are considered for all types of Latosols recognized in the Brazilian System of Soil Classification. The role of clay minerals such as kaolinite, gibbsite and iron oxides (namely hematite, goethite, magnetite and maghemite) is discussed against the background of soil classification and soil fertility aspects. The ammount of trace-elements and the relationship between these elements (Mn, Cu, Zn, Co) and latosols genesis and classification is shown, illustrating the trend of higher values for those soils developed from mafic rocks and alike. The geographic distribution of latosols classes in Brazil (namely Ferriferous, Dusky-Red, Dark-Red, Red-Yellow, Yellow, Brown, Humic, Una variation and Pallid) is given. Finnaly, a general view on phosphorous adsorption for the various types of latosols is presented, illustrating the importance of the clay mineralogy as a primary factor of controlling P availability in these soils.},
Keywords = {redemds},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://goo.gl/vCMSl}
}
@Article{KerEtAl1990,
Title = {Caracterização química e mineralógica de solos brunos subtropicais do Brasil},
Author = {J C Ker and M Resende},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {215-225},
Volume = {14},
Year = {1990},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVYjI3NTZkNjQtZDJkMS00NTkzLWFiNjMtYjdmYzYxM2MzYjI0&hl=en&authkey=CNKJqZEH}
}
@Article{KerryEtAl2007,
Title = {Comparing sampling needs for variograms of soil properties computed by the method of moments and residual maximum likelihood},
Author = {R. Kerry and M.A. Oliver},
Journal = {Geoderma},
Pages = {383-396},
Volume = {140},
Year = {2007},
Abstract = {It has been generally accepted that the method of moments (MoM) variogram, which has been widely applied in soil science, requires about 100 sites at an appropriate interval apart to describe the variation adequately. This sample size is often larger than can be afforded for soil surveys of agricultural fields or contaminated sites. Furthermore, it might be a much larger sample size than is needed where the scale of variation is large. A possible alternative in such situations is the residual maximum likelihood (REML) variogram because fewer data appear to be required. The REML method is parametric and is considered reliable where there is trend in the data because it is based on generalized increments that filter trend out and only the covariance parameters are estimated. Previous research has suggested that fewer data are needed to compute a reliable variogram using a maximum likelihood approach such as REML, however, the results can vary according to the nature of the spatial variation. There remain issues to examine: how many fewer data can be used, how should the sampling sites be distributed over the site of interest, and how do different degrees of spatial variation affect the data requirements? The soil of four field sites of different size, physiography, parent material and soil type was sampled intensively, and MoM and REML variograms were calculated for clay content. The data were then sub-sampled to give different sample sizes and distributions of sites and the variograms were computed again. The model parameters for the sets of variograms for each site were used for cross-validation. Predictions based on REML variograms were generally more accurate than those from MoM variograms with fewer than 100 sampling sites. A sample size of around 50 sites at an appropriate distance apart, possibly determined from variograms of ancillary data, appears adequate to compute REML variograms for kriging soil properties for precision agriculture and contaminated sites.},
Doi = {10.1016/j.geoderma.2007.04.019},
File = {:Geoderma/Kerry & Oliver_Geoderma_2007.pdf:PDF},
Keywords = {Variogram; Residual maximum likelihood (REML); Method of moments (MoM); Prediction; Sampling; Optimization; Spatial; Pedometrics; DSM; Design;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{KerryEtAl2004,
Title = {Average variograms to guide soil sampling},
Author = {R. Kerry and M.A. Oliver},
Journal = {International Journal of Applied Earth Observation and Geoinformation},
Pages = {307-325},
Volume = {5},
Year = {2004},
Abstract = {To manage land in a site-specific way for agriculture requires detailed maps of the variation in the soil properties of interest. To predict accurately for mapping, the interval at which the soil is sampled should relate to the scale of spatial variation. A variogram can be used to guide sampling in two ways. A sampling interval of less than half the range of spatial dependence can be used, or the variogram can be used with the kriging equations to determine an optimal sampling interval to achieve a given tolerable error. Avariogram might not be available for the site, but if the variograms of several soil properties were available on a similar parent material and or particular topographic positions an average variogram could be calculated from these. Averages of the variogram ranges and standardized average variograms from four different parent materials in southern England were used to suggest suitable sampling intervals for future surveys in similar pedological settings based on half the variogram range. The standardized average variograms were also used to determine optimal sampling intervals using the kriging equations. Similar sampling intervals were suggested by each method and the maps of predictions based on data at different grid spacings were evaluated for the different parent materials. Variograms of loss on ignition (LOI) taken from the literature for other sites in southern England with similar parent materials had ranges close to the average for a given parent material showing the possible wider application of such averages to guide sampling.},
Doi = {10.1016/j.jag.2004.07.005},
Keywords = {Soil sampling; Average variograms; Parent material; Topographic units},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{KhanEtAl2005,
Title = {Soil-landform development of a part of the fold belt along the eastern coast of {B}angladesh},
Author = {Md. Sharif Hossain Khan and B. Parkash and Sudhir Kumar},
Journal = {Geomorphology},
Pages = {310-327},
Volume = {71},
Year = {2005},
Abstract = {The evolution of landforms and soils from the Jaldi and Maiskhali anticlines and adjoining areas in a part of the coastal region of the north?south trending fold belt of Bangladesh during the Late Quaternary Period has been investigated. Based on the degree of soil development and luminescence dating, eight soil geomorphic units have been deciphered and grouped into four members (I?IV) of a morphostratigraphic sequence for the study area. Various soil geomorphic units included in different member/sub-members are: Member I-river floodplains and active tidal flats (b500 years); Member II-distal Piedmont Plains and old tidal flats (0.5?2 ka); Member III-proximal Piedmont Plains (6?10 ka); and Member IV-Mainland Higher and Lower Hillocks and Island Hillocks (N15 ka). Member IV is further subdivided into Sub-member IVa-Island Hillocks (15?18 ka); Sub-member IVb-Mainland Lower Hillocks (23?25 ka); and Sub-member IVc-Mainland Higher Hillocks (30?35 ka). The youngest and poorly developed soils of Member I show features related to hydromorphism. Moderately developed soils of Members II and III show a fersiallitisation stage of pedogenesis. Member IV includes dstrongly developed soilsT with a ferrugination stage of pedogenesis. These soils also exhibit degradation and poor birefringence of argillans and ferriargillans, indicating a significant change in conditions of pedogenesis, probably related to a paleoclimatic change from a subhumid to semiarid phase (40 ka to about 16 ka) to a hot humid to subhumid phase (16 ka?present). Parent material composition and physiography also have affected the pedogenesis in the area. Based on ages and heights above the mean sea level for the five terraces recognized in the study area, the overall base-level rise rates calculated are about 3.6 mm/year (18 ka?present) for the Maiskhali Island and 2.86 mm/year (35 ka?present) for the mainland (Jaldi anticline). These base level changes represent combined effects of eustatic sea level and tectonic uplift due to folding.},
Doi = {10.1016/j.geomorph.2005.03.003},
File = {:Geomorphology/Khan_Geomorphology_2005.pdf:PDF},
Keywords = {Bangladesh; Soil; Landform; Morphostratigraphy},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{KhodaverdilooEtAl2011,
Title = {Deriving and validating pedotransfer functions for some calcareous soils},
Author = {Habib Khodaverdiloo and Mehdi Homaee and Martinus Th van.Genuchten and Shoja Ghorbani Dashtaki},
Journal = {Journal of Hydrology},
Pages = { - },
Volume = {In Press, Accepted Manuscript},
Year = {2011},
Abstract = {The unsaturated soil hydraulic properties are needed for many different applications in soil hydrology. Pedotransfer Functions (PTFs) have proven to be useful to indirectly estimate these parameters from more easily obtainable soil data. Until now no studies have been conducted to derive or verify PTFs for calcareous soils, which hydraulically may not behave the same as non-calcareous soils. The objectives of this study were to assess the influence of soil CaCO3 on the soil water retention characteristics of some calcareous soils, and to derive PTFs for these soils. Two data sets were used to derive and evaluate the established PTFs. Data set 1 containing 220 samples was employed as a calibration set for multiple linear regression. An independent data set containing 55 soil samples from a different location served to verify the derived PTFs. No significant difference in accuracy was found between the PTFs with and without CaCO3 in terms of estimating specific soil water retention values or the van Genuchten soil hydraulic parameters. Compared with the Rosetta PTFs of Schaap et al. (2001), the derived point and parametric PTFs provided better accuracy with average RMSE values of 0.028 and 0.107 cm3cm-3, respectively.},
Doi = {DOI: 10.1016/j.jhydrol.2010.12.040},
ISSN = {0022-1694},
Keywords = {Calcareous soils},
Url = {http://www.sciencedirect.com/science/article/B6V6C-51WD0RH-3/2/13087066e82f5986aeca18b3f910510d}
}
@Article{KieEtAl2002,
Title = {Refractory organic carbon in particle-size fractions of arable soils I: distribution of refractory carbon between the size fractions},
Author = {Rita Kie and Heike Knicker and Ingrid Kögel-Knabner},
Journal = {Organic Geochemistry},
Pages = {1683?1697},
Volume = {33},
Year = {2002},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0146638002001134}
}
@InCollection{Kienast-BrownEtAl2010,
Title = {Applying the optimum index factor to multiple data types in soil survey},
Author = {S. Kienast-Brown and J.L. Boettinger},
Booktitle = {Digital soil mapping: bridging research, environmental application, and operation},
Publisher = {Springer},
Year = {2010},
Address = {Netherlands},
Chapter = {5},
Editor = {Janis L. Boettinger and David W. Howell and Amanda C. Moore and Alfred E. Hartemink and Suzann Kienast-Brown},
Pages = {385-398},
Abstract = {Digital soil mapping requires simple, straight-forward methods that can be easily implemented into daily activities of soil survey. The Optimum Index Factor (OIF) was developed by Chavez et al. (1982, 1984) as a method for determining the three-band combination that maximizes the variability in a particular multispectral scene. The OIF is based on the amount of total variance and correlation within and between all possible band combinations in the dataset. Although the OIF method was developed for Landsat TM data, the concept and methodology are applicable to any multilayer dataset. We used the OIF method in a subset area of the initial soil survey of the Duchesne Area, Utah, USA, to help determine which combination of data layers would be most useful for modeling soil distribution. Unique multiband images created from layers of multiple data types (elevation and remote sensing derivatives) were evaluated using the OIF method to determine which data layers would maximize the biophysical variability in the study area. A multiband image was created from the optimum combinations of data layers and used for classifi- cation and modeling in ERDAS Imagine. The output from the classification and modeling are being evaluated as pre-maps for soil mapping activities in the study area.},
File = {KienastBrownEtAl2010.pdf:KienastBrownEtAl2010.pdf:PDF},
Keywords = {Correlation; Remote sensing; Digital elevation model; Pre-mapping; Unsupervised classification},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2011.01.19}
}
@InCollection{Kienast-BrownEtAl2006,
Title = {Land-cover Classification from Landsat Imagery for Mapping Dynamic Wet and Saline Soils},
Author = {S. Kienast-Brown and J.L. Boettinger},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {18},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {235 - 244, 612},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Wet and saline soils have been recognized as an important and complex component of wetland ecosystems in arid environments. Analysis and classification of remotely sensed spectral data is an effective method for discerning the spatial and temporal variability of soils. The East Shore Area (ESA) of the Great Salt Lake soil survey update is focused on updating soil map units containing wet and saline soils. The ESA provides a unique environment for the use of remotely sensed spectral data for map unit refinement because of low relief and a large extent of soils that are wet and saline to various degrees. Map units in the ESA containing wet and saline soils were updated and refined using Landsat 7 imagery. Five land-cover classes are related to dominant soil types that vary in soil wetness, salinity, calcium carbonate concentration and vegetation cover type. Supervised classification of the imagery was performed using the five land cover classes. The final classification resulted in 14 land cover classes, including nine additional classes that help describe the variability in the original five classes. The classification results were validated using visual inspection in the field, a priori knowledge of the area and an error matrix. The results of the classification were used to enhance original soil map units and calculate map unit composition in the final soil mapping process. This information was then incorporated into the updated soil map. Temporal variation in land cover classes has the potential to be considered in map-unit refinement to reflect the dynamic nature of the margins of the Great Salt Lake, Utah.},
Doi = {DOI: 10.1016/S0166-2481(06)31018-5},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-Y/2/805389bced3c1729c0b044ff0b8fd2ea}
}
@Article{KilmerEtAl1949,
Title = {Methods of making mechanical analyses of soils},
Author = {Kilmer, V.J., and L.T. Alexander},
Journal = {Soil Science},
Pages = {15-24},
Volume = {68},
Year = {1949},
Keywords = {pipette method; particle size distribution;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.31}
}
@Inproceedings{KimEtAl2012,
Title = {Spatial resolution effects of remote sensing images on digital soil models in aquatic ecosystems},
Author = {J. Kim and S. Grunwald and T.Z. Osborne and R. Robbins and H. Yamataki and R.G. Rivero},
Booktitle = {Digital Soil Assessments and Beyond: Proceedings of the 5th Global Workshop on Digital Soil Mapping},
Year = {2012},
Address = {Sydney},
File = {KimEtAl2012.pdf:KimEtAl2012.pdf:PDF},
Keywords = {resolution; DEM; effect;},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://soils.ifas.ufl.edu/faculty/grunwald/home/PDFs/Jongsung%20Kim_publication%20II%20-%20Textbook%20DSM.pdf}
}
@Article{KimEtAl2014,
Title = {Soil phosphorus and nitrogen predictions across spatial escalating scales in an aquatic ecosystem using remote sensing images},
Author = {Jongsung Kim and Sabine Grunwald and Rosanna G. Rivero},
Journal = {IEEE Transactions on Geoscience and Remote Sensing},
Pages = {6724–6737},
Volume = {52},
Year = {2014},
Number = {10},
Doi = {10.1109/tgrs.2014.2301443},
File = {KimEtAl2014.pdf:KimEtAl2014.pdf:PDF},
ISSN = {1558-0644},
Keywords = {resolution; pedometrics; DSM; updating; PhDpaper1},
Owner = {alessandro},
Publisher = {Institute of Electrical \& Electronics Engineers (IEEE)}
}
@Article{Kim2009,
Title = {Estimating classification error rate: repeated cross-validation, repeated hold-out and bootstrap},
Author = {Ji-Hyun Kim},
Journal = {Computational Statistics and Data Analysis},
Pages = {3735 - 3745},
Volume = {53},
Year = {2009},
Number = {11},
Abstract = {We consider the accuracy estimation of a classifier constructed on a given training sample. The naive resubstitution estimate is known to have a downward bias problem. The traditional approach to tackling this bias problem is cross-validation. The bootstrap is another way to bring down the high variability of cross-validation. But a direct comparison of the two estimators, cross-validation and bootstrap, is not fair because the latter estimator requires much heavier computation. We performed an empirical study to compare the .632+ bootstrap estimator with the repeated 10-fold cross-validation and the repeated one-third holdout estimator. All the estimators were set to require about the same amount of computation. In the simulation study, the repeated 10-fold cross-validation estimator was found to have better performance than the .632+ bootstrap estimator when the classifier is highly adaptive to the training sample. We have also found that the .632+ bootstrap estimator suffers from a bias problem for large samples as well as for small samples.},
Doi = {10.1016/j.csda.2009.04.009},
File = {Kim2009.pdf:Kim2009.pdf:PDF},
ISSN = {0167-9473},
Keywords = {redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0167947309001601}
}
@Article{KimEtAl2009,
Title = {Comparative study on leachate in closed landfill sites: focusing on seasonal variations},
Author = {Young Deuk Kim and Dong-Geon Lee},
Journal = {Journal of Material Cycles and Waste Management},
Pages = {174-182},
Volume = {11},
Year = {2009},
Doi = {10.1007/s10163-008-0246-9},
Keywords = {Land? ll · Leachate characteristics · In? ltration · Seasonal variation · Final capping},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Manual{Kincaid2013,
Title = {Cumulative distribution function (CDF) analysis},
Author = {Thomas Kincaid},
Pages = {15},
Publisher = {R Project CRAN},
Year = {2013},
Month = {09},
Abstract = {This document presents cumulative distribution function (CDF) analysis of a GRTS survey design. The resource used in the analysis is small lakes in Florida, which is a nite resource. Lake basins are used to delineate basins among the lakes in the resource. The analysis will include calculation of CDF estimates and testing for di erence between CDFs from subpopulations of the resource.},
File = {Kincaid2013.pdf:Kincaid2013.pdf:PDF},
Owner = {alessandro},
Timestamp = {29.09.2013},
Url = {http://cran.r-project.org/web/packages/spsurvey/vignettes/CDF_Analysis.pdf}
}
@Manual{Kincaid2013a,
Title = {Analysis of a GRTS survey design for a finite resource},
Author = {Thomas Kincaid},
Pages = {16},
Publisher = {R Project CRAN},
Year = {2013},
Month = {09},
Abstract = {This document presents analysis of a GRTS survey design for a nite resource. The nite resource used in the analysis is small lakes in Florida. The analysis will include calculation of three types of population estimates: (1) estimation of proportion and size (number of lakes) for site evaluation status categorical variables; (2) estimation of proportion and size for lake condition categorical variables; and (3) estimation of the cumulative distribution function (CDF) and percentiles for quantitative variables. Testing for di erence between CDFs from subpopulations also will be presented.},
File = {Kincaid2013a.pdf:Kincaid2013a.pdf:PDF},
Owner = {alessandro},
Timestamp = {29.09.2013},
Url = {http://cran.r-project.org/web/packages/spsurvey/vignettes/Finite_Analysis.pdf}
}
@Manual{Kincaid2013b,
Title = {GRTS Survey Designs for a Finite Resource},
Author = {Thomas Kincaid},
Pages = {13},
Publisher = {R Project CRAN},
Year = {2013},
Month = {09},
Abstract = {This document presents example GRTS survey designs for a nite resource. The nite resource used in the designs is lakes in the southern New England region of the U.S. Four survey designs will be presented: (1) an unstrati ed, equal probability design; (2) a strati ed, equal probability design; (3) an unstrati ed, unequal probability design with an oversample; and (4) an unstrati ed, unequal probability design with an oversample and a panel structure for survey over time. The sampling frame used for the survey designs is contained in either an ESRI shape le, a data frame, or an sp package object. The frame contains the coordinates for a set of points that de ne the nite resource in addition to attribute data associated with the points. The coordinate system for the set of points in the sampling frame is an equal area projection rather than latitude and longitude. An equal area projection is used so that calculation of distance between points is valid. Use of the three sources for the sampling frame will be illustrated in the example survey designs.},
File = {Kincaid2013b.pdf:Kincaid2013b.pdf:PDF},
Owner = {alessandro},
Timestamp = {29.09.2013},
Url = {http://cran.r-project.org/web/packages/spsurvey/vignettes/Finite_Design.pdf}
}
@Manual{KincaidEtAl2013,
Title = {spsurvey: Spatial Survey Design and Analysis},
Author = {Thomas M. Kincaid and Anthony R. Olsen},
Year = {2013},
Note = {R package version 2.6},
Url = {http://www.epa.gov/nheerl/arm/}
}
@Conference{KingEtAl2007,
Title = {The soil typological unit},
Author = {Dominique King and Christine Le Bas},
Booktitle = {{Proceedings of the ESBN 2007 Plenary meeting}},
Year = {2007},
Address = {Hannover},
File = {KingEtAl2007.pdf:KingEtAl2007.pdf:PDF},
Keywords = {soil; mapping; classification; taxonomy; typology},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Article{KingEtAl1999,
Title = {Variable selection in large environmental data sets using principal components analysis},
Author = {Jacquelynne R. King and Donald A. Jackson},
Journal = {Environmetrics},
Pages = {67-77},
Volume = {10},
Year = {1999},
Abstract = {In many large environmental datasets redundant variables can be discarded without the loss of extra variation. Principal components analysis can be used to select those variables that contain the most information. Using an environmental dataset consisting of 36 meteorological variables spanning 37 years, four methods of variable selection are examined along with different criteria levels for deciding on the number of variables to retain. Procrustes analysis, a measure of similarity and bivariate plots are used to assess the success of the alternative variable selection methods and criteria levels in extracting representative variables. The Broken-stick model is a consistent approach to choosing significant principal components and is chosen here as the more suitable criterion in combination with a selection method that requires one principal component analysis and retains variables by starting with selection from the first component.},
Doi = {10.1002/(SICI)1099-095X(199901},
File = {:Environmetrics/King & Jackson_Envirometrics_1999.pdf:PDF},
Keywords = {variable selection; principal components analysis; Procrustes analysis; environmental data; limnology; discarding variables; redemds},
Owner = {Administrador},
Timestamp = {2011.01.28},
Url = {http://labs.eeb.utoronto.ca/jackson/king%20&%20jackson.pdf}
}
@Article{King1953,
Title = {Canons of landscape evolution},
Author = {Lester C. King},
Journal = {Journal of the Geological Society of America},
Pages = {721-752},
Volume = {64},
Year = {1953},
Abstract = {The manner in which epigene landscapes evolve is examined and discussed. Slope flattening as a general process of landscape evolution is rejected, and with it Davis' concept of the peneplain. Landscape evolution by scarp retreat and pedimentation is accepted, and several of its consequences are examined. The opinions derived are expressed at the end of the paper as a series of canons of landscape development.},
File = {King1953.pdf:King1953.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.28}
}
@Article{KingEtAl2009,
Title = {The automation of science},
Author = {Ross D. King and Jem Rowland and Stephen G. Oliver and Michael Young and Wayne Aubrey and Emma Byrne and Maria Liakata and Magdalena Markham and Pinar Pir and Larisa N. Soldatova and Andrew Sparkes and Kenneth E. Whelan and Amanda Clare},
Journal = {Science},
Pages = {85-89},
Volume = {324},
Year = {2009},
Abstract = {The basis of science is the hypothetico-deductive method and the recording of experiments in sufficient detail to enable reproducibility. We report the development of Robot Scientist ? Adam, ? which advances the automation of both. Adam has autonomously generated functional genomics hypotheses about the yeast Saccharomyces cerevisiae and experimentally tested these hypotheses by using laboratory automation. We have confirmed Adam ? s conclusions through manual experiments. To describe Adam ? s research, we have developed an ontology and logical language. The resulting formalization involves over 10,000 different research units in a nested treelike structure, 10 levels deep, that relates the 6.6 million biomass measurements to their logical description. This formalization describes how a machine contributed to scientific knowledge.},
File = {KingEtAl2009.pdf:KingEtAl2009.pdf:PDF},
Keywords = {filosofia},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.23}
}
@Article{Kinnell1995,
Title = {The IxEa erosivity index: an index with the capacity to give more direct consideration to hydrology in predicting short-term erosion in the USLE modeling environment},
Author = {P.I.A. Kinnell},
Journal = {Journal of Soil and Water Conservation},
Pages = {507-513},
Volume = {50},
Year = {1995},
Abstract = {One of the biggest shortcomings of the Universal Soil Loss equation is the inadequate attention given to hydrological considerations in the erosivity factor. An index based on the product of the excess rainfall rate and the rainfall kinetic energy flux is suggested as a replacement for the EI30 erosivity index. It is shown that the IxEa index is more consistent with sediment transport principles.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {28.07.2010},
Url = {http://www.jswconline.org/content/50/5/507.abstract}
}
@Article{Kinnell2005,
Title = {Why the universal soil loss equation and the revised version of it do not predict event erosion well},
Author = {P. I. A. Kinnell},
Journal = {Hydrological Processes},
Pages = {851-854},
Volume = {19},
Year = {2005},
Abstract = {The universal soil loss equation (USLE; Wischmeier and Smith, 1978) and its revised version (RUSLE; Renard et al., 1997) were developed to predict the long-term average annual erosion A from field-sized areas from six factors: R the rainfall-runoff (erosivity) factor, K the soil (erodibility) factor, L the slope length factor, S the slope gradient factor, C the crop and management factor and P the conservation support practice factor.},
Doi = {10.1002/hyp.5816},
Owner = {Alessandro Samuel Rosa},
Timestamp = {28.07.2010}
}
@Article{KiraljEtAl2009,
Title = {Basic validation procedures for regression models in QSAR and QSPR studies: theory and application},
Author = {Kiralj, Rudolf and Ferreira, Márcia M. C.},
Journal = {Journal of the Brazilian Chemical Society},
Pages = {770-787},
Volume = {20},
Year = {2009},
Number = {4},
Abstract = {Four quantitative structure-activity relationships (QSAR) and quantitative structure-property relationship (QSPR) data sets were selected from the literature and used to build regression models with 75, 56, 50 and 15 training samples. The models were validated by leave-one-out crossvalidation, leave-N-out crossvalidation (LNO), external validation, y-randomization and bootstrapping. Validations have shown that the size of the training sets is the crucial factor in determining model performance, which deteriorates as the data set becomes smaller. Models from very small data sets suffer from the impossibility of being thoroughly validated, failure and atypical behavior in certain validations (chance correlation, lack of robustness to resampling and LNO), regardless of their good performance in leave-one-out crossvalidation, fitting and even in external validation. A simple determination of the critical Nin LNO has been introduced by using the limit of 0.1 for oscillations in Q2, quantified as the variation range in single LNO and two standard deviations in multiple LNO. It has been demonstrated that it is sufficient to perform 10 -25 y-randomization and bootstrap runs for a typical model validation. The bootstrap schemes based on hierarchical cluster analysis give more reliable and reasonable results than bootstraps relying only on randomization of the complete data set. Data quality in terms of statistical significance of descriptor -yrelationships is the second important factor for model performance.Variable selection that does not eliminate insignificant descriptor - yrelationships may lead to situations in which they are not detected during model validation, especially when dealing with large data sets.},
Citeulike-article-id = {7649324},
Citeulike-linkout-0 = {http://dx.doi.org/10.1590/S0103-50532009000400021},
Doi = {10.1590/S0103-50532009000400021},
File = {KiraljEtAl2009.pdf:Journal of the Brazilian Chemical Society/KiraljEtAl2009.pdf:PDF},
ISSN = {0103-5053},
Keywords = {bootstrepping, chemometrics, cross-validation, qsar, qspr, validation, redemds},
Posted-at = {2010-08-14 14:56:07},
Priority = {2},
Url = {http://dx.doi.org/10.1590/S0103-50532009000400021}
}
@Article{Kirk1996,
Title = {Practical significance: a concept whose time has come},
Author = {R E Kirk},
Journal = {Educational and Psychological Measurement},
Pages = {746-759},
Volume = {56},
Year = {1996},
Abstract = {Statistical significance is concerned with whether a research result is due to chance or sampling variability; practical significance is concerned with whether the result is useful in the real world. A growing awareness of the limitations of null hypothesis significance tests has led to a search for ways to supplement these procedures. A variety of supplementary measures of effect magnitude have been proposed. The use of these procedures in four APA journals is examined, and an approach to assessing the practical significance of data is described.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.23}
}
@Article{Kirkpatrick1984,
Title = {Optimization by simulated annealing: quantitative studies},
Author = {Kirkpatrick, Scott},
Journal = {Journal of Statistical Physics},
Pages = {975-986},
Volume = {34},
Year = {1984},
Month = {Mar},
Number = {5-6},
Doi = {10.1007/bf01009452},
File = {Kirkpatrick1984.pdf:Kirkpatrick1984.pdf:PDF},
ISSN = {1572-9613},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{KirkpatrickEtAl1983,
Title = {Optimization by simulated annealing},
Author = {Kirkpatrick, S. and Gelatt, C. D. and Vecchi, M. P.},
Journal = {Science},
Pages = {671-680},
Volume = {220},
Year = {1983},
Month = {May},
Number = {4598},
Doi = {10.1126/science.220.4598.671},
File = {KirkpatrickEtAl1983.pdf:KirkpatrickEtAl1983.pdf:PDF},
ISSN = {1095-9203},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics; Heuristic; spsann;},
Owner = {alessandro},
Publisher = {American Association for the Advancement of Science (AAAS)}
}
@Book{Kirkwood1997,
Title = {Strategic decision making: multiobjective decision analyis with spreadsheets},
Author = {C W Kirkwood},
Publisher = {Belmont: Duxbury Press},
Year = {1997},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.05},
Url = {http://www.public.asu.edu/~kirkwood/}
}
@Article{Kitamura1993,
Title = {Agricultura e desenvolvimento sustentável: uma agenda para discussão},
Author = {P C Kitamura},
Journal = {Ciência e Ambiente},
Pages = {37-49},
Volume = {4},
Year = {1993},
File = {Kitamura1993.pdf:Kitamura1993.pdf:PDF},
Owner = {pccli},
Timestamp = {2011.12.29}
}
@Techreport{KlamtEtAl2001,
Title = {Solos do município de São Pedro do Sul: características, classificação, distribuição geográfica e aptidão de uso agrícola},
Author = {Egon Klamt and Carlos Alberto Flores and Daniel Rocha Cabral},
Pages = {96},
Year = {2001},
File = {KlamtEtAl2001.pdf:techreport/KlamtEtAl2001.pdf:PDF},
Institution = {Departamento de Solos, Centro de Ciências Rurais, Federal University of Santa Maria, Santa Maria, RS},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.19}
}
@InCollection{KleberEtAl2010,
Title = {Advances in understanding the molecular structure of soil organic matter: implications for interactions in the environment},
Author = {Markus Kleber and Mark G. Johnson},
Booktitle = {Advances in Agronomy},
Publisher = {Amsterdam: Elsevier},
Year = {2010},
Pages = {77-142},
Volume = {106},
Abstract = {We take a historic approach to explore how concepts of the chemical and physical nature of soil organic matter have evolved over time. We emphasize conceptual and analytical achievements in organic matter research over the last two decades and demonstrate how these developments have led to increased skepticism toward the humification concept and question the usefulness of operationally defined and artificially prepared ??humic substances?? as models of fractions of soil organic matter in real soils. We identify some of the still open questions about organic matter, and point out future research directions that are likely to refine those concepts of the physicochemical nature of soil organic matter which we put before the reader today.},
Doi = {10.1016/S0065-2113(10)06003-7},
File = {KleberEtAl2010.pdf:Advances in Agronomy/KleberEtAl2010.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05},
Url = {http://www.mendeley.com/research/advances-understanding-molecular-structure-soil-organic-matter-implications-interactions-environment-6/}
}
@Article{KliemannEtAl2008,
Title = {Densidade de amostragem e complexidade de área em levantamentos pedológicos executados no {Brasil}},
Author = {Antonio José Wilman Riosand Huberto José Kliemann and Virlei Álvaro Oliveira and Paulo Klinger Tito Jacomine},
Journal = {Pesquisa Agropecuária Tropical},
Volume = {38},
Year = {2008},
Abstract = {Com o intuito de fornecer subsídios e contribuir para o estabelecimento de normas e critérios para execução de futuros levantamentos pedológicos no Brasil, avaliaram-se dados de densidade de amostragem. Partindo-se de levantamentos de solos de vários ambientes do território brasileiro, executados conforme normas do Centro Nacional de Pesquisa de Solos (CNPS), da Embrapa Solos, selecionaram-se e agruparam-se os mesmos em generalizados, intermediários e detalhados. Na primeira categoria, usaram-se treze levantamentos exploratórios do Projeto Radambrasil, englobando as cinco regiões geográficas brasileiras, e um levantamento exploratório-reconhecimento da Embrapa (SNLCS), publicados na escala de 1:1.000.000. Na categoria dos intermediários, escolheram-se trabalhos, discriminando-os em Grupo I (escala 1:100.000) e Grupo II (escala de 1:65.000 e 1:50.000). Levantamentos detalhados, com escalas de 1:10.000 a 1:4.000, da região Centro-Oeste, constituíram os trabalhos da categoria dos detalhados. Os resultados mostram que, nos três níveis de levantamento (generalizados, intermediários e detalhados), as densidades médias de amostragem foram de um ponto amostral (perfil completo + amostra extra) por 146.378 ha, 4.448 ha e 29 ha, respectivamente. A densidade de amostragem mostrou relação com a complexidade da paisagem, definida pelo número de unidades de mapeamento por unidade de área, mas não se relacionou com a complexidade de área, quando definida pelo número de polígonos ou manchas definidas nos mapas de solos por unidade de área.},
Keywords = {Levantamento de solos; densidade de amostragem; complexidade de área, redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.12}
}
@Article{KnickerEtAl1995,
Title = {N-15 and C-13 CPMAS and solution NMR studies of N-15 enriched plant material during 600 days of microbial degradation},
Author = {Knicker, H. and Lüdemann, H.-D.},
Journal = {Organic Geochemistry},
Pages = {329-341},
Volume = {23},
Year = {1995},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@Article{Knox1965,
Title = {Soil individuals and soil classification},
Author = {E Knox},
Journal = {Soil Science Society of America Journal},
Pages = {78-84},
Volume = {29},
Year = {1965},
Number = {1},
Abstract = {The standing of 8 kinds of soil bodies as soil individuals was evaluated in the light of the following principles, derived from an analysis of basic ideas: 1) Classes are abstract fields, not groups of individuals. 2) Artificial individuals of continuous universes are different from natural individuals of particulate universes. 3) Classes in continuous universes are independent of individuals. 4) Artificial individuals are member-bodies of minimum size. Soil particles, soil horizons, soil landscape units (including polypedons), and delineated soil bodies are natural individuals, but only within nonsoil universes. The universes of soil resulting from any of the common concepts of soil as an isotropic material or an anisotropic body are continuous, and contain hand specimens, soil profiles taken as bodies, "individuals", and pedons as artifical individuals. These may be regarded as soil individuals. There is need for a concept of soil corresponding to some kind of soil landscape unit.},
File = {Knox1965.pdf:Soil Science Society of America Journal/Knox1965.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.13},
Url = {https://www.crops.org/publications/sssaj/abstracts/29/1/SS0290010079}
}
@Book{KoeetheEtAl1996,
Title = {SARA, System zur Automatischen Relief-Analyse - Benutzerhandbuch},
Author = {Köethe, R. and Lehmeier, F.},
Pages = {24},
Publisher = {Göttingen, Germany: Department of Geography, University of Göttingen},
Year = {1996},
Edition = {2},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.18}
}
@Article{Koegel-Knabner1997,
Title = {13C and 15N NMR spectroscopy as a tool in soil organic matter studies},
Author = {Ingrid Kögel-Knabner},
Journal = {Geoderma},
Pages = {243-270},
Volume = {80},
Year = {1997},
Abstract = {Nuclear magnetic resonance (NMR) is a valuable tool for the characterization of soil organic matter and humification processes in soils. This review highlights soil organic matter studies based mainly on solid-state 13C and 15N NMR spectroscopy and some emerging applications, that may provide significant progress in our knowledge on soil organic matter. A major advantage of Nmr spectroscopy is that it can be used as a non-invasive method for solid soil samples or soil fractions. Although resolution is limited, one can obtain an overview on the organic matter structures present in the soil sample. Application of 13C and 15N NMR to soils has, for a long time, been confined to the study of bulk soils or humic extracts for structural characterization. The transformations of soil organic C and N are now being investigated after addition of 13C- and 15N-labelled parent materials to the soil and following their evolution in different C and N pools. With labelling techniques it is also possible to study the interaction of organic pollutants with soil organic matter. Contamination of a soil with man-made additives, such as soot or brown coal dust, can also be detected in soils or individual soil fractions.},
File = {:Geoderma/Kögel-Knabner_Geoderma_1997.pdf:PDF},
Keywords = {13C NMR spectroscopy; 15N NMR spectroscopy; soil organic matter; carbon cycling; organic pollutants},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706197000554}
}
@Article{Koegel-KnabnerEtAl2008,
Title = {Organo-mineral associations in temperate soils: integrating biology, mineralogy, and organic matter chemistry},
Author = {Kögel-Knabner, I. and Guggenberger, G. and Kleber, M. and Kandeler, E. and Kalbitz, K. and Scheu, S. and Eusterhues, K. and Leinweber, P},
Journal = {Journal of Plant Nutrition and Soil Science},
Pages = {61-82},
Volume = {171},
Year = {2008},
Abstract = {We summarize progress with respect to (1) different approaches to isolate, extract, and quantify organo-mineral compounds fromsoils, (2) types ofmineral surfaces and associated interactions, (3) the distribution and function of soil biota at organo-mineral surfaces, (4) the distribution and content of organo-mineral associations, and (5) the factors controlling the turnover of organic matter (OM) in organo-mineral associations from temperate soils. Physical fractionation achieves a rough separation between plant residues and mineral-associated OM, which makes density or particle-size fractionation a useful pretreatment for further differentiation of functional fractions. A part of the OM in organo-mineral associations resists different chemical treatments, but the data obtained cannot readily be compared among each other, andmore research is necessary on the processes underlying resistance to treatments for certainOMcomponents. Studies using physical-fractionation procedures followed by soil-microbiological analyses revealed that organo-mineral associations spatially isolate C sources from soil biota, making quantity and quality of OM in microhabitats an important factor controlling community composition. The distribution and activity of soil microorganisms at organo-mineral surfaces can additionally be modified by faunal activities. Composition of OM in organo-mineral associations is highly variable, with loamy soils having generally a higher contribution of polysaccharides, whereas mineral-associated OM in sandy soils is often more aliphatic. Though highly reactive towards Fe oxide surfaces, lignin and phenolic components are usually depleted in organo-mineral associations. Charred OM associated with the mineral surface contributes to a higher aromaticity in heavy fractions. The relative proportion of OC bound in organomineral fractions increaseswith soil depth. Likewise does the strength of the bonding.Organicmolecules sorbed to the mineral surfaces or precipitated by Al are effectively stabilized, indicated by reduced susceptibility towards oxidative attack, higher thermal stability, and lower bioavailability. At higher surface loading, organic C is much better bioavailable, also indicated by little 14C age. In the subsurface horizons of the soils investigated in this study, Fe oxides seem to be the most important sorbents, whereas phyllosilicate surfaces may be comparatively more important in topsoils. Specific surface area of soilminerals is not always a good predictor forC-stabilization potentials because surface coverage is discontinuous. Recalcitrance and accessibility/aggregation seemto determine the turnover dynamics in fast and intermediate cycling OM pools, but for long-termOC preservation the interactions with mineral surfaces, and especially with Fe oxide surfaces, are a major control in all soils investigated here.},
Doi = {10.1002/jpln.200700048},
Keywords = {organic matter stabilization / microhabitat / fractionation / specific surface area},
Owner = {Administrador},
Timestamp = {2011.08.15},
Url = {http://onlinelibrary.wiley.com/doi/10.1002/jpln.200700048/pdf}
}
@Inproceedings{Kohavi1995,
Title = {A study of cross-validation and bootstrap for accuracy estimation and model selection},
Author = {Ron Kohavi},
Booktitle = {Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence},
Pages = {1137-1143},
Publisher = {Morgan Kaufmann},
Year = {1995},
Address = {Montreal},
Abstract = {We review accuracy estimation methods and compare the two most common methods crossvalidation and bootstrap. Recent experimental results on artificial data and theoretical re cults in restricted settings have shown that for selecting a good classifier from a set of classifiers (model selection), ten-fold cross-validation may be better than the more expensive leaveone-out cross-validation. We report on a largescale experiment-over half a million runs of C4.5 and a Naive-Bayes algorithm-to estimate the effects of different parameters on these algrithms on real-world datasets. For crossvalidation we vary the number of folds and whether the folds are stratified or not, for bootstrap, we vary the number of bootstrap samples. Our results indicate that for real-word datasets similar to ours, The best method to use for model selection is ten fold stratified cross validation even if computation power allows using more folds.},
File = {Kohavi1995.pdf:Kohavi1995.pdf:PDF},
Institution = {AAAI American Association for Artificial Intelligence / Canadian Society for Computational Studies of Intelligence / The International Joint Conferences on Artificial Intelligence, Inc.},
Keywords = {redemds},
Url = {http://dl.acm.org/}
}
@Article{KoehlEtAl2008,
Title = {Effect of the estimation of forest management and decay of dead woody material on the reliability of carbon stock and carbon stock changes - a simulation study},
Author = {Michael Köhl and Wolfgang Stümer and Bernhard Kenter and Thomas Riedel},
Journal = {Forest Ecology and Management},
Pages = {229-236},
Volume = {256},
Year = {2008},
Abstract = {The IPCC-GPG on Greenhouse Gas Monitoring offers countries several options for reporting. The current study selected management effects and decay of dead woody material to demonstrate the dependence of different approaches and assumptions for carbon stock and carbon stock change estimates. For a given set of inventory data the reported change of carbon stock varied between 3.1 tonnes C ha1 yr1and 34.4 tonnes C ha1 yr1 for a 10-year period. Based on the available data set from a test area in the federal state of Salzburg (Austria) the effect of different scenarios for harvesting operations and mortality on reported carbon release was studied. The scenarios covered timber utilization at different points in time and two mortality rates (constant and exponential). A proportion of harvesting was assumed to remain inside the forest as logging residues and entered together with mortality a decay process. Two different lifetimes for decay (10 and 50 years) and constant and negative exponential decay rates were simulated. Those decisions affect the amount of carbon released considerably. For a 10-year period between 5% and 80% of the carbon content of dead woody material that accumulated within the period is released to the atmosphere.},
Doi = {10.1016/j.foreco.2008.04.004},
File = {:Forest Ecology and Management/Kohl et al_Forest Ecol Manage_2008.pdf:PDF},
Keywords = {Carbon stock; Carbon stock changes; Forest management; Forest inventory; Mortality; Harvest residues; Dead wood; Decay; Reliability; IPCC-Guidelines; Simulation},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Inproceedings{KoehnleinEtAl2002,
Title = {Sobre a concepção empirista-indutivista no ensino de ciências},
Author = {Janete F.K. Köhnlein and Luiz O.Q. Peduzzi},
Booktitle = {Trabalho apresentado no VIII Encontro Nacional de Pesquisa em Ensino de Física. 5 a 8 de junho de 2002. Águas de Lindóia-SP},
Pages = {18},
Year = {2002},
File = {KoehnleinEtAl2002.pdf:Anais/KoehnleinEtAl2002.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.10},
Url = {http://www.cienciamao.usp.br/tudo/exibir.php?midia=epef&cod=_sobreaconcepcaoempirista}
}
@Article{Kohonen1998,
Title = {The self-organizing map},
Author = {Teuvo Kohonen},
Journal = {Neurocomputing},
Pages = {1 - 6},
Volume = {21},
Year = {1998},
Number = {1-3},
Abstract = {An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.},
Doi = {DOI: 10.1016/S0925-2312(98)00030-7},
ISSN = {0925-2312},
Keywords = {Self-organizing map},
Url = {http://www.sciencedirect.com/science/article/B6V10-3V7S70G-1/2/fd7c0b562382d4fcd8d02759cca81599}
}
@Article{Kolasa2006,
Title = {A community ecology perspective on variability in complex systems: the effects of hierarchy and integration},
Author = {Jurek Kolasa},
Journal = {Ecological Complexity},
Pages = {71-79},
Volume = {3},
Year = {2006},
Number = {1},
Abstract = {The question of whether organization and degree of integration of ecological communities are related in a predictable manner to patterns of variability in abundance as well as to patterns of environmental variability is important for theoretical and practical reasons. However, a quantitative answer to this question is difficult as no single measure of organization and variability gained widespread acceptance. Ecological communities exhibit hierarchical structure and that structure can be interpreted as an index of integration and organization. Constituents of such communities show patterns of variability amenable to power spectrum analysis (often abbreviated as 1/f?, where ? is the power exponent characterizing contribution of events of different magnitudes to the overall pattern of variability). I postulated that richer, and thus more hierarchical communities, should gravitate further away from white noise (random) than simple communities. Also, I postulated that communities in more stable physical habitats will also show pattern of variability indicative of complex, multiscale organization. In this paper I analyze the data from natural microcosms to test the above hypotheses. The data span a time series of abundance data for over 70 species of invertebrates occupying 49 supratidal rock pools in Jamaica. These rock pools have many attributes of general ecological systems. The analyses led to a number of findings. First, I established that richer communities have some attributes of higher integration by finding that they are more resistant to periodic ?invasions? (return of species previously present). Second, variability of the physical environmental variables, whether at small or large scales, was within the typical range observed in other studies, with power spectrum exponents close to 1. Third, the variability of component populations differed consistently with theoretical expectations. Specifically, physically more stable pools contained communities whose power spectrum exponent was higher than those in physically variable pools. The same was true for species-rich as compared to species-poor pools. These observations mean that variability is more episodic in pool communities with higher organization and lesser external perturbation levels, with overall variability declining. Fourth, variability of biotic components was substantially different from variability of the environmental variables, suggesting that the physical environment may be a constraining but not necessarily the driving force. I further suggest that different exponents should characterize communities at different stages of development and self-organization.},
Doi = {10.1016/j.ecocom.2005.08.001},
File = {:Ecological Complexity/Kolasa_Ecol Complex_2006.pdf:PDF},
Keywords = {Ecological community; Hierarchical structure; Index of integration and organization; Natural microcosms; 1-Over-f noise; Patterns of environmental variability; Patterns of variability in abundance; Self-organization},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@InCollection{Konyushkova2010,
Title = {Automatic Interpretation of Quickbird Imagery for Digital Soil Mapping, North Caspian Region, Russia},
Author = {Konyushkova, M.V.},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {103-112},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_9},
File = {Konyushkova2010.pdf:Konyushkova2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {Solonetzic complex; Sodic soils; ILWIS software; Nonparametric Analysis},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_9}
}
@Article{KorhonenEtAl1997,
Title = {A heuristic for estimating nadir criterion values in multiple objective linear programming},
Author = {Korhonen, Pekka and Salo, Seppo and Steuer, Ralph E.},
Journal = {Operations Research},
Pages = {751--757},
Volume = {45},
Year = {1997},
Month = {Oct},
Number = {5},
Doi = {10.1287/opre.45.5.751},
File = {KorhonenEtAl1997.pdf:KorhonenEtAl1997.pdf:PDF},
ISSN = {1526-5463},
Owner = {alessandro},
Publisher = {Institute for Operations Research and the Management Sciences (INFORMS)}
}
@Article{KostEtAl1998,
Title = {Topsoiling, ripping, and fertilizing effects on tree growth and nutrition on calcareous minesoils},
Author = {David A. Kost and John P. Vimmerstedt and James H. Brown},
Journal = {Forest Ecology and Management},
Pages = {307-319},
Volume = {103},
Year = {1998},
Abstract = {Tree survival, growth, and foliar nutrition were evaluated in two studies on coal minesoils in southeastern Ohio. A topsoiling-fertilizing study contrasted three constructed soil profiles (graded cast overburden, graded cast overburden under 30 cm of standard graded or ripped topsoil) and six phosphorus fertilizer treatments (0, 280, or 560 kgha-? triple superphosphate. and 0, 1120, or 2240 kgha- ? rock phosphate). A ripping-fertilizing study used only graded cast overburden, ripped to 1.2 m depth or not ripped, and four fertilizer treatments (0 kgha-? P and N, and 112 kgha- ? P in combination with 0, 168, or 336 kgha- ? N). Fertilizer treatments were in addition to fertilizers applied during ground cover seeding. After 7 years, overall tree survival was excellent for green ash (Fraxinus pennsyluanica Marsh.) (9 1% survival) but poor for silver maple ( Acer saccharinurn L.) (15-2 I%), sycamore (Platunus occident&s L.) (9%) and white pine (Pinus strobus L.) (1%). Austrian pine (Pinus nigra Arnold) survived moderately well in the topsoiling study (62%) but failed in the soil ripping study (0%). Deer browsing and rabbit cutting contributed to poor tree survival. In the topsoiling study, green ash was taller on both topsoil profiles (total height, 85 cm) than on cast overburden (64 cm). Austrian pine was also taller on standard topsoil (I 15 cm) and ripped topsoil (102 cm) than on cast overburden (68 cm). Tree performance was not improved by ripping topsoil in the topsoiling study or by ripping cast overburden in the soil ripping study. For comparable fertilizer treatments, green ash grew better on cast overburden (ripped or not ripped) in the ripping study than on topsoils in the topsoiling study. Silver maple survived better (29% vs. 11%) and green ash was taller (126 cm vs. 101 cm) on plots that received both N and P than on plots that received no fertilizer. Fertilization with P alone was not effective. Foliar N concentrations in green ash (12.4-13.6 gkg-? in the topsoiling study; 15.0-16.4 gkg - ? in soil ripping study) and Austrian pine (6.7-7.0 gkgg ? in topsoiling study) were much less than optimal. Of treatments tested, provision of adequate N by fertilizers appears to have the most potential for improving tree growth on these minesoils, but controlling animal damage would probably have a greater impact on survival and early growth than any fertilizer treatment.},
File = {:Forest Ecology and Management/Kost et al_Forest Ecol Manage_1998.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0378112797002272}
}
@Article{KotheEtAl2006,
Title = {Development and use in practice of SAGA modules for high quality analysis of geodata},
Author = {R Köthe and Michael Bock},
Journal = {Göttinger Geographische Abhandlungen},
Pages = {85-96},
Volume = {115},
Year = {2006},
Abstract = {As a founding member of the SAGA GIS User Group e.V. and as a producer of high quality geodata, we use the SAGA's Application Programming Interface (API) to realise solutions for numerous problems in spatial data analysis. As the result of our own or cooperative research activities, the developed methods are demanding to GIS possibilities. Furthermore, often a huge amount of data has to be processed for use in practice. Beyond the limitations of common GIS software, SAGA's API offered the necessary possibilities. This paper gives an overview of different methods, as well as different fields, of application in practice, such as improvement of digital terrain models, terrain analysis, applications for soil mapping and soil protection, hydrology, and forestry.},
File = {KotheEtAl2006.pdf:KotheEtAl2006.pdf:PDF},
Keywords = {saga gis;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21},
Url = {http://mirror.transact.net.au/pub/sourceforge/s/project/sa/saga-gis/SAGA%20-%20Documentation/GGA115/gga115_08.pdf}
}
@Mastersthesis{Kraemer2007,
Title = {Variabilidade espacial dos atributos do solo na delimitação das unidades de mapeamento},
Author = {Guilherme Brenner Kraemer},
Pages = {99},
School = {Universidade Federal do Paraná},
Year = {2007},
Abstract = {Os métodos atuais de levantamentos pedológicos baseiam-se nos trabalhos de interpretação pedológica de fotografias aéreas e compartimentação da paisagem proporcionando grande subjetividade que resulta na discordância dos limites das unidades de mapeamento, mesmo quando executados por especialistas. Este trabalho tem como objetivo a aplicação da geoestatística na espacialização dos atributos do solo e a delimitação das unidades de mapeamento através da técnica booleana. A área de estudo se localiza no Centro de Estações Experimentais do Cangüiri ? Universidade Federal do Paraná, situado nas coordenadas N= 7190000 m e E= 688000 m no sistema de projeção UTM. Foram utilizados 135 perfis coletados em tubos de PVC de 100mm, através de um trado mecânico acoplado na tomada de força de um trator. Os pontos amostrados correspondem a uma sistema de malha, com espaçamento de 30 m x 30 m, tendo ainda 12 pontos amostrados em espaçamento variando entre 1 m e 15 m. Foram realizadas análises granulométrica e química dos elementos cálcio, magnésio, potássio, alumínio, hidrogênio, fósforo, carbono, pH em água e pH em KCL dos horizontes A e B. Os dados obtidos foram transferidos para vetores de pontos. A krigagem dos atributos do solo resultou em imagens contínuas de representação das variações de cada atributo. Através da análise booleana, se utilizou os parâmetros e critérios de classificação de solos estabelecidos pelo Sistema Brasileiro de Classificação de Solos (EMBRAPA, 1999), para a espacialização das classes de solos. Estas foram submetidas aos critérios cartográficos de representação, onde foram obtidos os limites das unidades de mapeamento simples e associações. Os resultados geoestatísticos trabalhados em conjunto na rotina booleana mostraram ser capazes de classificar e delinear unidades de mapeamento de solos. Este resultado mostra ser possível informatizar o processo de classificação de solos, proporcionando mais velocidade e menos subjetividade no delineamento das unidades de mapeamento.},
Keywords = {mapeamento de solos; geoestatística; SIG.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Book{KrasilnikovEtAl2008,
Title = {Soil geography and geostatistics - concepts and applications},
Address = {Luxembourg},
Author = {Krasilnikov, P. and Carré, F. and Montanarella, L.},
Pages = {203},
Publisher = {Office for Official Publications of the European Communities},
Year = {2008},
Abstract = {Geostatistics are a useful tool for understanding and mapping the variation of soil properties across the landscapes. They can be applied at different scales regarding the initial punctual datasets the soil scientist has been provided, and regarding the target resolution of the study. This report is a collection of various studies, all dealing with geostatistical methods, which have been done in Hungary, Russia and Mexico, with the financial support of various research grants. It provides also a chapter about the general concepts of geostatistics and a discussion about limitations of geostatistics with an opening discussion on the usage of pedodiversity index. This report is then particularly recommended to soil scientists who are not so familiar with geostatistics and who need support for applying geostatistics in specific conditions.},
File = {KrasilnikovEtAl2008.pdf:KrasilnikovEtAl2008.pdf:PDF},
ISBN = {978-92-79-08720-2},
ISSN = {1018-5593},
Owner = {alessandro},
Timestamp = {08.07.2013},
Url = {http://eusoils.jrc.ec.europa.eu/esdb_archive/eusoils_docs/other/eur23290.pdf}
}
@Book{KrasilnikovEtAl2009b,
Title = {A handbook of soil terminology, correlation and classification},
Address = {London},
Author = {Pavel V. Krasilnikov and Juan-José Ibáñez Martí and Richard Arnold and Serghei Shoba},
Pages = {449},
Publisher = {Earthscan},
Year = {2009},
Edition = {1},
Abstract = {The cosmos it seems is a vast unending system of phenomenal energy and the Earth is a unique subsystem of the cosmos not known to be duplicated. The numerous subsystems of the Earth contribute to this variability, and life, as we perceive it, comprises a myriad of subsystems the evolution of which has given rise to humans whose systems and subsystems constantly amaze us. In simplistic terms life on terrestrial portions of Earth requires air, water, shelter and sources of energy in order to survive. Survival depends on an ability to classify variability, to envision and interpret relationships among domains and objects within domains, and to respond to known or perceived consequences of those relationships. Thus we are innately conditioned and trained to classify, correlate, interpret and store or discard information about variability. As humans we are exposed to variability, either without choice or through our curiosity, and this causes us to classify these massive sources of information into manageable segments for our existing mental capacities. We mentally put objects, visual clues, sounds and so forth into generalized groups or domains for which we develop archetypes that enable us to quickly distinguish and segregate different populations. The objects in these domains can then be separated into smaller clusters with which we associate specific properties (either imagined or measured). This is the process of correlation that enables us to establish relationships among and between members of populations. For many classifications and correlations of object variability our mental processes seem to be unconscious rather than deliberate activities. Common interpretations of relationships refer to whether we believe they are cause-and-effect, maybe cause-and-effect or unknown (empirical). We tend to prefer the cause-and-effect ones because they provide us with possible explanations of what is happening in the milieu of variability that surrounds us. Do we save the information about our interpretations or discard it? As can be seen, this is another classification issue. If we have a spoken language we save them as stories to pass on to others; if we have a written language we write down the details of the stories. If, as individuals, we choose to discard our interpretations of relationships they go into our huge areas of ignorance.},
File = {KrasilnikovEtAl2009a.pdf:Book/KrasilnikovEtAl2009a.pdf:PDF},
Keywords = {fractal;},
Owner = {Administrador},
Timestamp = {2011.02.24}
}
@Article{KrasilnikovEtAl2003,
Title = {Perspectives on utilitarian ethnopedology},
Author = {Pavel V. Krasilnikov and Joe A. Tabor},
Journal = {Geoderma},
Pages = {197-215},
Volume = {111},
Year = {2003},
File = {:Geoderma/Krasilnikov & Tabor_Geoderma_2003.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {14.02.2010},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002641}
}
@Article{KravchenkoEtAl2011,
Title = {Whole-profile soil carbon stocks: the danger of assuming too much from analyses of too little},
Author = {A. N. Kravchenko and G. P. Robertson},
Journal = {Soil Science Society of America Journal},
Pages = {235-240},
Volume = {75},
Year = {2011},
Abstract = {Whole soil profile assessments of soil C stocks are enormously important for evaluating a soil's potential for sequestering C. Carbon stock measurements are often highly variable, which makes the detection of statistically significant differences among different land uses and management systems difficult. A common mistake is to interpret a lack of statistical significance as evidence for the absence of differences. This mistake is costly: failure to identify practices and habitats that accumulate C can affect our understanding of soil C cycling and hide possible sequestration potentials. In this study, we investigated inadequate replication as a major cause of a lack of statistical significance. Power analysis is a well-established statistical tool that allows researchers to infer whether the lack of statistical significance is due to the absence of meaningful differences or due to insufficient replication. We used data from two published studies to illustrate the value of power analysis. In particular, we showed that in these studies the chances of detecting even substantial (e.g., 50%) differences among experimental treatments can be as low as 20 to 60% due to the natural variability in soil C concentrations and stocks. Carbon variability in different soil horizons suggests that statistical analyses of soil C stocks should be conducted separately for each sampled horizon and that conclusions about the profile as a whole should be made based on the individual horizon results. Devising an optimal sampling strategy that identifies the appropriate number of replicates needed to detect significant C change by horizon is essential.},
Doi = {10.2136/sssaj2010.0076},
File = {:Soil Science Society of America Journal/Kravchenko and Robertson_SSSAJ_2011.pdf:PDF},
Keywords = {CRD, completely randomized design; CT, conventional tillage; LTER, Long-Term Ecological Research; NT, no-till; RCBD, randomized complete block design, redemds},
Owner = {Alessandro},
Timestamp = {2011.02.25},
Url = {https://www.soils.org/publications/sssaj/abstracts/75/1/235}
}
@Book{Krishnamoorthy2006,
Title = {Handbook of statistical distributions with applications},
Author = {K. Krishnamoorthy},
Pages = {344},
Publisher = {Boca Raton, USA: Chapman and Hall/CRC},
Year = {2006},
Edition = {1},
File = {Krishnamoorthy2006.pdf:Book/Krishnamoorthy2006.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Inproceedings{Kroese2011,
Title = {Monte Carlo methods},
Author = {Dirk P. Kroese},
Booktitle = {2011 Summer School of the Australian Mathematical Sciences Institute (AMSI)},
Pages = {176},
Year = {2011},
File = {Kroese2011.pdf:Anais/Kroese2011.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@Book{KroeseEtAl2011,
Title = {Handbook of Monte Carlo Methods},
Author = {Dirk P. Kroese and Thomas Taimre and Zdravko I. Botev},
Pages = {743},
Publisher = {Hoboken, USA: John Wiley and Sons},
Year = {2011},
File = {KroeseEtAl2011.pdf:Book/KroeseEtAl2011.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@InCollection{KrolEtAl2006,
Title = {Ontology-based Multi-source Data Integration for Digital Soil Mapping},
Author = {B. Krol and D.G. Rossiter and W. Siderius},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {10},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {119 - 133},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {There is a need for cheap methods for digital soil mapping on intermediate scales that make optimal use of existing multi-source datasets on both general and detailed scales. Apart from the spatial challenges that often have to be faced in map integration the semantics of datasets have to be well understood for successful data integration. So-called #ontology-based# approaches for the semantic integration of multi-source geographical datasets may be used to give a firm conceptual basis to digital soil mapping from multi-scale, multi-source geographic data. This chapter explores the use of ontologies in semantic data integration. A first version of an approach for ontology-based data integration for soil-landscape mapping is presented consisting of semantic factoring, ontology definition, reference model construction and data integration. This approach is illustrated with the semantic integration of a small-scale (1:400,000) soil-geomorphic map with a geological map at 1:50,000 scale of the Antequera area in Spain. Comparison of the results of our approach to semantic integration with an Antequera geo-pedological legend designed to map soil-landforms in this area at 1:50,000 scale shows a clear correspondence of ontologies.},
Doi = {DOI: 10.1016/S0166-2481(06)31010-0},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-K/2/cc3656227d6aac4724b56330cdd22a2c}
}
@Article{Krzanowski1987,
Title = {Cross-validation in principal component analysis},
Author = {Krzanowski, W. J.},
Journal = {Biometrics},
Pages = {575-584},
Volume = {43},
Year = {1987},
Number = {3},
Abstract = {This paper describes a form of cross-validation, in the context of principal component analysis, which has a number of useful aspects as regards multivariate data inspection and description. Topics covered include choice of dimensionality, identification of influential observations, and selection of important variables. The methods are motivated by and illustrated on a well-known data set.},
Copyright = {Copyright © 1987 International Biometric Society},
File = {Krzanowski1987.pdf:Biometrics/Krzanowski1987.pdf:PDF},
Keywords = {redemds, pca},
Url = {http://www.jstor.org/stable/2531996}
}
@Article{Krzanowski1984,
Title = {Sensitivity of principal components},
Author = {W. J. Krzanowski},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {558-563},
Volume = {46},
Year = {1984},
File = {Krzanowski1984.pdf:Journal of the Royal Statistical Society/Krzanowski1984.pdf:PDF},
Keywords = {redemds, pca},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.17},
Url = {http://www.jstor.org/discover/10.2307/2345693?uid=3737664&uid=2129&uid=2&uid=70&uid=4&sid=21100858434361}
}
@Article{Kubrusly2001,
Title = {A procedure for computing indexes from a multivariate database},
Author = {Lucia Silva Kubrusly},
Journal = {Pesquisa Operacional},
Pages = {107-117},
Volume = {21},
Year = {2001},
Number = {1},
Abstract = {This paper presents a solution to the problem of finding an index number I for ranking a set of n objects, according to criteria defined by a set of m variables. In general, it is necessary to choose a suitable set of variables, and weights for each variable. Cluster Analysis is used for variable selection, and Principal Component Analysis is used to attain weights. Two applications are presented.},
Doi = {10.1590/S0101-74382001000100007},
Keywords = {index-number, cluster analysis, principal component analysis, multivariate analysis.},
Owner = {Administrador},
Timestamp = {2011.01.28}
}
@Article{Kubrusly1992,
Title = {Utilização de técnicas de análise multivariada para redução de variáveis num problema de controle ecológico},
Author = {Lúcia Silvia Kubrusly},
Journal = {Revista Brasileira de Estatística},
Pages = {53-67},
Volume = {53},
Year = {1992},
Abstract = {Este trabalho originou-se em urn projeto desenvolvido no departamento de Ecologia da UFRJ para avalia~ao e reparo dos danos causados pelos despejos, que durante quase 10 a nos foram lan~ados no lago Batata, localizado no estado do Para. Este rejeito era proveniente da lavagem de bauxita rea lizada no processo de beneficiamento do minerio. 0 referido projeto foi iniciado em 1987, e sua base experimental consiste em coleta e analise de material da agua e do sedimento, em diferentes pontos do lago, distribufdos entre as areas impactada (mais proxima ao local de despejo), nao impactada (distante dos despejos) e intermediaria.},
Keywords = {redemds},
Owner = {Administrador},
Timestamp = {2011.01.28}
}
@Book{KuhnEtAl2013a,
Title = {Applied Predictive Modeling},
Address = {New York},
Author = {Max Kuhn and Kjell Johnson},
Pages = {600},
Publisher = {Springer},
Year = {2013},
File = {KuhnEtAl2013a.pdf:KuhnEtAl2013a.pdf:PDF}
}
@Manual{KuhnEtAl2013,
Title = {caret: classification and regression training},
Author = {Max Kuhn and Jed Wing and Steve Weston and Andre Williams and Chris Keefer and Allan Engelhardt},
Year = {2013},
Abstract = {Misc functions for training and plotting classification and regression models},
File = {KuhnEtAl2013.pdf:KuhnEtAl2013.pdf:PDF},
Keywords = {variable selection},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.22},
Url = {http://cran.r-project.org/web/packages/caret/}
}
@Book{Kuhn2011,
Title = {A estrutura das revoluções científicas},
Address = {São Paulo},
Author = {Thomas S. Kuhn},
Pages = {260},
Publisher = {Perspectiva},
Year = {2011},
Edition = {10},
Keywords = {filosofia},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.23}
}
@Article{KumarEtAl2005,
Title = {Evaluating leachate contamination potential of landfill sites using leachate pollution index},
Author = {Dinesh Kumar and Babu J. Alappat},
Journal = {Clean Technologies and Environmental Policy},
Pages = {190-197},
Volume = {7},
Year = {2005},
Doi = {10.1007/s10098-004-0269-4},
File = {:Clean Technologies and Environmental Policy/Kumar & Alappat_Clean Technol Envir_2005.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{KusmandariEtAl1997,
Title = {Soil erosion and sediment yield in forest and agroforestry areas in West Java, Indonesia},
Author = {Ambar Kusmandari and Bruce Mitchell},
Journal = {Journal of Soil and Water Conservation},
Pages = {376-381},
Volume = {52},
Year = {1997},
Abstract = {Soil erosion in Indonesia has occurred at an alarming rate. A management challenge arises not only because of the lack of understanding of soil erosion processes and lack of data, but also due to difficulties in the application of soil erosion models. The objectives here are to measure erosion rates and sediment yields in a watershed in West Java using the Agricultural Non-point Source Pollution (AGNPS) model, to document rates of erosion from forestry and agroforestry land uses in the basin, and to compare soil erosion rates calculated by the AGNPS and Universal Soil Loss Equation (USLE) models. The method was to use both primary and secondary data as inputs to the AGNPS and USLE models, as well as field observations to compare the outputs from the two models with conditions in the field. The AGNPS model measured about half of the erosion rate predicted by the USLE. However, the AGNPS output appears to be more realistic. The erosion rates of the study area (2592 ha; 6.402 acres) were 95 and 103 ton/ha/yr (8,480 and 9,205 ton/acre/yr) in 1991 and 1992. The sediment yields were 99,630 ha/year (246,000 ton/yr) in 1991, and 108,135 ha (267,000 ton/yr) in 1992. The t-test regarding soil erosion in forested and agroforestry areas demonstrates that the difference in soil erosion rates is not statistically significant (? =0.05). Based on this finding, agroforestry is an excellent choice of land use to minimize soil erosion rates.},
Keywords = {re?ection},
Owner = {Alessandro Samuel Rosa},
Timestamp = {26.07.2010},
Url = {http://www.jswconline.org/content/52/5/376.abstract}
}
@Book{KutnerEtAl2004,
Title = {Applied linear statistical models},
Address = {New York},
Author = {Michael H. Kutner and Christopher J. Nachtsheim and John Neter and William Lispss},
Pages = {1396},
Publisher = {McGraw-Hill},
Year = {2004},
Edition = {5},
File = {KutnerEtAl2004.pdf:Book/KutnerEtAl2004.pdf:PDF},
Keywords = {regression through the origin; redemds; Akaike Information Criterion;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{KuzyakovaEtAl2001,
Title = {Geostatistics in Soil Agrochemical Studies},
Author = {I. F. Kuzyakova and V. A. Romanenkov and Ya. V. Kuzyakov},
Journal = {Eurasian Soil Science},
Pages = {1011-1017},
Volume = {34},
Year = {2001},
Abstract = {The application of geostatistical techniques for the processing of soil agrochemical data is considered. A concise review of basic geostatistical concepts is presented. Methods for calculating isotropic and anisotropic variograms, their characteristics, and some models of variograms are discussed. Principles of data interpolation using the kriging procedure are elucidated.},
File = {:Eurasian Soil Science/Kuzyakova et al_Eurasian Soil Sci_2001.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {https://www.uni-hohenheim.de/~kuzyakov/I-EaSS1a.pdf}
}
@Article{Kvalseth1985,
Title = {Cautionary note about {R}$^2$},
Author = {Kvalseth, Tarald O.},
Journal = {The American Statistician},
Pages = {279-285},
Volume = {39},
Year = {1985},
Number = {4},
Abstract = {The coefficient of determination (R2) is perhaps the single most extensively used measure of goodness of fit for regression models. It is also widely misused. The primary source of the problem is that except for linear models with an intercept term, the several alternative R2 statistics are not generally equivalent. This article discusses various considerations and potential pitfalls in using the R2's. Specific points are exemplified by means of empirical data. A new resistant statistic is also introduced.},
Copyright = {Copyright © 1985 American Statistical Association},
Doi = {10.2307/2683704},
File = {Kvalseth1985.pdf:The American Statistician/Kvalseth1985.pdf:PDF},
ISSN = {00031305},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Nov., 1985},
Jstor_issuetitle = {Part 1},
Keywords = {Cross-validation; dsm; pedometrics;},
Language = {English},
Publisher = {American Statistical Association}
}
@Article{KwanEtAl2002,
Title = {Decomposition of Hydrogen Peroxide and Organic Compounds in the Presence of Dissolved Iron and Ferrihydrite},
Author = {Waip Kwan and Bettina M. Voelker},
Journal = {Environmental Science and Technology},
Pages = {1467-1476},
Volume = {36},
Year = {2002},
Abstract = {This work examines the contribution of solution phase reactions, especially those involving a chain reaction mechanism, to the decomposition of hydrogen peroxide (H2O2) and organic compounds in the presence of dissolved iron and ferrihydrite. In solutions at pH 4, where Fe was introduced as dissolved Fe(III), both H2O2 and 14C-labeled formic acid decomposed at measurable rates that agreed reasonably well with those predicted by a kinetic model of the chain reaction mechanism, using published rate constants extrapolated to pH 4. The ratio of the formic acid and H2O2 decomposition rates, as well as the dramatic effect of tert-butyl alcohol on these rates, confirmed that a solution chain reaction mechanism involving ¥OH controlled the decomposition kinetics of both compounds. In the presence of ferrihydrite as the iron source, the ratio of the rate of formic acid decomposition to that of H2O2 decomposition was significantly lower than that observed in the presence of only dissolved Fe. Moreover, neither rate diminished drastically upon addition of tert-butyl alcohol, indicating that the solution phase chain reaction is not a dominant decomposition pathway of H2O2 and formic acid. Relative decomposition rates of formic acid and a second ¥OH probe, benzoic acid, were consistent with oxidation of these compounds by ¥OH. These observations can be reproduced by a kinetic model including (a) decomposition of H2O2 at the iron oxide surface, producing ¥OH with lower yield than the reaction sequence with dissolved Fe, and (b) low concentrations of dissolved Fe in the presence of ferrihydrite, preventing propagation of the solution phase chain reaction.},
File = {:Environmental Science & Technology/Kwan & Voelker_Environ Sci Technol_2002.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {15.02.2010},
Url = {http://pubs.acs.org/doi/abs/10.1021/es011109p}
}
@Article{KyriakidisEtAl2001,
Title = {A geostatistical approach for mapping thematic classification accuracy and evaluating the impact of inaccurate spatial data on ecological model predictions},
Author = {Kyriakidis, Phaedon C. and Dungan, Jennifer L.},
Journal = {Environmental and Ecological Statistics},
Pages = {311-330},
Volume = {8},
Year = {2001},
Note = {10.1023/A:1012778302005},
Number = {4},
Abstract = {Spatial information in the form of geographical information system coverages and remotely sensed imagery is increasingly used in ecological modeling. Examples include maps of land cover type from which ecologically relevant properties, such as biomass or leaf area index, are derived. Spatial information, however, is not error-free: acquisition and processing errors, as well as the complexity of the physical processes involved, make remotely sensed data imperfect measurements of ecological attributes. It is therefore important to first assess the accuracy of the spatial information being used and then evaluate the impact of such inaccurate information on ecological model predictions. In this paper, the role of geostatistics for mapping thematic classification accuracy through integration of abundant image-derived (soft) and sparse higher accuracy (hard) class labels is presented. Such assessment leads to local indices of map quality, which can be used for guiding additional ground surveys. Stochastic simulation is proposed for generating multiple alternative realizations (maps) of the spatial distribution of the higher accuracy class labels over the study area. All simulated realizations are consistent with the available pieces of information (hard and soft labels) up to their validated level of accuracy. The simulated alternative class label representations can be used for assessing joint spatial accuracy, i.e., classification accuracy regarding entire spatial features read from the thematic map. Such realizations can also serve as input parameters to spatially explicit ecological models; the resulting distribution of ecological responses provides a model of uncertainty regarding the ecological model prediction. A case study illustrates the generation of alternative land cover maps for a Landsat Thematic Mapper (TM) subscene, and the subsequent construction of local map quality indices. Simulated land cover maps are then input into a biogeochemical model for assessing uncertainty regarding net primary production (NPP).},
File = {KyriakidisEtAl2001.pdf:KyriakidisEtAl2001.pdf:PDF},
ISSN = {1352-8505},
Issue = {4},
Keyword = {Biomedical and Life Sciences},
Keywords = {redemds},
Publisher = {Springer Netherlands},
Url = {http://dx.doi.org/10.1023/A:1012778302005}
}
@Article{KyriakidisEtAl1999,
Title = {Geostatistics for conflation and accuracy assessment of digital elevation models},
Author = {Kyriakidis, Phaedon C. and Shortridge, Ashton M. and Goodchild, Michael F.},
Journal = {International Journal of Geographical Information Science},
Pages = {677-707},
Volume = {13},
Year = {1999},
Number = {7},
Abstract = { A geostatistical methodology is proposed for integrating elevation estimates derived from digital elevation models (DEMs) and elevation measurements of higher accuracy, e.g., elevation spot heights. The sparse elevation measurements (hard data) and the abundant DEM-reported elevations (soft data) are employed for modeling the unknown higher accuracy (reference) elevation surface in a way that properly reflects the relative reliability of the two sources of information. Stochastic conditional simulation is performed for generating alternative, equiprobable images (numerical models) of the unknown reference elevation surface using both hard and soft data. These numerical models reproduce the hard elevation data at their measurement locations, and a set of auto and crosscovariance models quantifying spatial correlation between data of the two sources of information at various spatial scales. From this set of alternative representations of the reference elevation, the probability that the unknown reference value is greater than that reported at each node in the DEM is determined. Joint uncertainty associated with spatial features observed in the DEM, e.g. the probability for an entire ridge existing, is also modeled from this set of alternative images. A case study illustrating the proposed conflation procedure is presented for a portion of a USGS one-degree DEM. It is suggested that maps of local probabilities for over or underestimation of the unknown reference elevation values from those reported in the DEM, and joint probability values attached to different spatial features, be provided to DEM users in addition to traditionally reported summary statistics used to quantify DEM accuracy. Such a metadata element would be a valuable tool for subsequent decision-making processes that are based on the DEM elevation surface, or for targeting areas where more accurate elevation measurements are required. },
Doi = {10.1080/136588199241067},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/136588199241067},
File = {KyriakidisEtAl1999.pdf:KyriakidisEtAl1999.pdf:PDF},
Keywords = {redemds},
Url = {http://www.tandfonline.com/doi/abs/10.1080/136588199241067}
}
@Article{LacerdaEtAl2008,
Title = {Estudo da relação pedomorfogeológica na distribuição de solos com horizontes B textural e B nítico na paisagem de Lavras (MG)},
Author = {Marilusa Pinto Coelho Lacerda and Jean Joel Gabriel Queménéur and Hélcio Andrade and Helena Maria Ramos Alves and Tatiana Grossi Chquillof Vieira},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {271-284},
Volume = {32},
Year = {2008},
Abstract = {O entendimento das relações entre geologia, geomorfologia e pedologia auxilia nas atividades de classificação dos solos e na avaliação da distribuição pedológica de uma área. Este trabalho foi motivado pela escassez de estudos dessa natureza na região de Lavras (MG), onde ocorrem várias classes de solos, relacionados com a grande variedade petrológica do material de origem e com a ocorrência de domínios geomorfológicos distintos. O objetivo deste trabalho foi estudar as relações entre material de origem (relação pedogeológica), classes de relevo (relação pedogeomorfológica) e solos com horizontes B textural e B nítico, visando propor um modelo da distribuição desses solos na paisagem de Lavras. Os solos com horizontes B textural e B nítico de ocorrência regional foram selecionados de acordo com o estádio de evolução, que permite preservar características das rochas parentais. Esses solos são desenvolvidos nessa região em relevos ondulados a forte ondulados, originando diferentes classes de solos com horizontes B textural e B nítico relacionados ao material de origem. Para desenvolvimento deste estudo, foram realizadas a interpretação petrológica do substrato rochoso e a individualização do relevo, por meio de classes de declividade. Mediante campanhas de campo, foram selecionados e caracterizados perfis representativos das principais classes dos solos em estudo e foram avaliadas as relações pedogeológicas associadas às relações pedogeomorfológicas, permitindo a proposição de um modelo preditivo de distribuição de solos com horizontes B textural e B nítico na paisagem de Lavras (MG).},
File = {:Revista Brasileira de Ciência do Solo/Lacerda et al_RBCS_2008.pdf:PDF},
Keywords = {pedogênese, petrologia, classes de declividade, solos com B textural, solos com B nítico.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v32n1/26.pdf}
}
@Phdthesis{Lagacherie1992,
Title = {Formalisation des lois de distribution des sols pour automatiser la cartographie pédologique à partir d'un secteur pris comme référence},
Author = {Lagacherie, P.},
Pages = {175},
School = {Science du Sol, Université de Montpellie},
Year = {1992},
Owner = {alessandro},
Timestamp = {09.10.2013}
}
@InCollection{LagacherieEtAl2010,
Title = {The Use of Hyperspectral Imagery for Digital Soil Mapping in Mediterranean Areas},
Author = {Lagacherie, P. and Gomez, C. and Bailly, J.S. and Baret, F. and Coulouma, G.},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {93-102},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_8},
File = {LagacherieEtAl2010.pdf:LagacherieEtAl2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {Remote sensing; Reflectance spectroscopy; Partial least square regression; Uncertainty; Upscaling},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_8}
}
@Article{LagacherieEtAl1997,
Title = {Addressing geographical data errors in a classification tree for soil unit prediction.},
Author = {Lagacherie, Philippe and Holmes, Susan},
Journal = {International Journal of Geographical Information Science},
Pages = {183-198},
Volume = {11},
Year = {1997},
Number = {2},
Added-at = {2011-08-15T00:00:00.000+0200},
Biburl = {http://www.bibsonomy.org/bibtex/2072a4b063e2fdef6ad5481c32d5d5a7a/dblp},
Ee = {http://dx.doi.org/10.1080/136588197242455},
Interhash = {30743f6d0289e95dab8c4c0ee4932590},
Intrahash = {072a4b063e2fdef6ad5481c32d5d5a7a},
Keywords = {dblp},
Timestamp = {2011-08-15T00:00:00.000+0200},
Url = {http://dblp.uni-trier.de/db/journals/gis/gis11.html#LagacherieH97}
}
@Article{LagacherieEtAl1995,
Title = {A soil survey procedure using the knowledge of soil pattern established on a previously mapped reference area},
Author = {P. Lagacherie and J.P. Legros and P.A. Burfough},
Journal = {Geoderma},
Pages = {283 - 301},
Volume = {65},
Year = {1995},
Number = {3-4},
Abstract = {Mapping rules based on the knowledge of regional soil patterns - soil pattern rules - can be acquired from a previous soil survey of a small but representative sample area called the reference area. They can then be used in new soil surveys carried out on wider areas; this allows both to select the observation points and to predict which soil unit occurs at non-observed points. A quantified formulation of these rules is proposed to use them within an automated soil survey procedure. The soil pattern rules of a reference area are formulated through rules which give probabilities of soil unit presence. These probabilities are then combined to give soil predictions outside the reference area from a set of observation points. The observation points are successively chosen by the soil survey procedure according to a pre-defined strategy which takes into account the estimated uncertainty of the earlier predictions. The technique was tested on the Middle Valley of the Herault river (France). Comparisons between actual and simulated soil maps show good results both in terms of quality and optimization of the number of observation points. Although further work is needed to achieve a fully operational tool, the soil survey procedure tested looks promising for regions with identifiable and repeating soil patterns.},
Doi = {10.1016/0016-7061(94)00040-H},
File = {:Geoderma/Lagacherie et al_Geoderma_1995.pdf:PDF},
Owner = {pccli},
Timestamp = {2011.11.14}
}
@InCollection{LagacherieEtAl2007a,
Title = {Spatial soil information systems and spatial soil inference systems: perspectives for digital soil mapping},
Author = {P. Lagacherie and A.B. McBratney},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2007},
Chapter = {1},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {3 - 22},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Given the relative dearth of, and the huge demand for, quantitative spatial soil information, it is timely to develop and implement methodologies for its provision. We suggest that digital soil mapping, which can be defined as the creation, and population of spatial soil information systems (SSINFOS) by the use of field and laboratory observational methods, coupled with spatial and non-spatial soil inference systems, is the appropriate response. Problems of large extents and soil-cover complexity and coarse resolutions and short-range variability representation carry over from conventional soil survey to digital soil mapping. Meeting users' requests and demands and the ability to deal with spatially variable and temporally evolving datasets must be the key features of any new approach. In this chapter, we present a generic framework that recognises the procedures required. Within quantitatively defined physiographic regions, SSINFOS must be populated and spatial soil inference systems (SSINFERS) must be developed. When combined this will allow users to derive the data they require. Further work is required on the development of these systems, and on the data requirements, the optimal forms of inference and the appropriate representation of the products of digital soil mapping.},
Doi = {DOI: 10.1016/S0166-2481(06)31001-X},
File = {:Developments in Soil Science/Lagacherie_Dev Soil Sci_2006.pdf:PDF},
ISSN = {0166-2481},
Keywords = {redemds},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-6/2/a2c418ce71dc6aa514e948a0ba4eb410}
}
@Book{LagacherieEtAl2007,
Title = {Digital soil mapping - an introductory perspective},
Author = {Philippe Lagacherie and Alex McBratney and Marc Voltz},
Pages = {658},
Publisher = {Oxford, Elsevier},
Year = {2007},
Edition = {1},
Owner = {pccli},
Timestamp = {2011.12.26}
}
@Article{LagacherieEtAl2001,
Title = {Mapping of reference area representativity using a mathematical soilscape distance},
Author = {P. Lagacherie and J.M. Robbez-Masson and N. Nguyen-The and J.P. Barthès},
Journal = {Geoderma},
Pages = {105 - 118},
Volume = {101},
Year = {2001},
Number = {3-4},
Abstract = {The applicability of detailed soil surveys limited to small reference areas to larger regions should be assessed using easily available data. This is done in this paper by computing at each site of the large region a mathematical distance between local soilscapes and those in the reference area. Soilscapes are represented by a cover frequency vector of elementary landscape classes (combinations of soil-forming factor classes) calculated within an area defined around the site under consideration. The application of this technique to four reference areas located in the Hérault?Libron?Orb valleys in the south of France demonstrated that: (1) the proposed soilscape distance was in good agreement with the degree of representativity of a reference area (i.e. percentage of soil classes already encountered in the reference area), (2) representative areas of different size and purity can be delineated from a soilscape distance map by applying a distance threshold, (3) expertise in delineating a reference area has a strong influence on its performances, i.e. size vs. purity of representative area. This suggests that the soilscape distance tested in this paper could be integrated in a classification procedure defining the optimal size and location of future reference areas.},
Doi = {10.1016/S0016-7061(00)00101-4},
File = {:Geoderma/Lagacherie et al_Geoderma_2001.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Reference area; redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706100001014}
}
@Article{LahiriEtAl1999,
Title = {Prediction of spatial cumulative distribution functions using subsampling},
Author = {Lahiri, Soumendra N. and Kaiser, Mark S. and Cressie, Noel and Hsu, Nan-Jung},
Journal = {Journal of the American Statistical Association},
Pages = {86-97},
Volume = {94},
Year = {1999},
Number = {445},
Abstract = {The spatial cumulative distribution function (SCDF) is a random function that provides a statistical summary of a random field over a spatial domain of interest. In this article we develop a spatial subsampling method for predicting an SCDF based on observations made on a hexagonal grid, similar to the one used in the Environmental Monitoring and Assessment Program of the U.S. Environmental Protection Agency. We show that under quite general conditions, the proposed subsampling method provides accurate data-based approximations to the sampling distributions of various functionals of the SCDF predictor. In particular, it produces estimators of different population characteristics, such as the quantiles and weighted mean integrated squared errors of the empirical predictor. As an illustration, we apply the subsampling method to construct large-sample prediction bands for the SCDF of an ecological index for foliage condition of red maple trees in the state of Maine.},
File = {LahiriEtAl1999.pdf:LahiriEtAl1999.pdf:PDF},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 1999},
Keywords = {redemds},
Language = {English},
Publisher = {American Statistical Association},
Url = {http://www.jstor.org/stable/2669680}
}
@Book{LalEtAl2004,
Title = {Principles of soil physics},
Author = {Rattan Lal and Manoj K. Shukla},
Pages = {682},
Publisher = {New York, USA: Marcel Dekker},
Year = {2004},
Edition = {1},
File = {LalEtAl2004.pdf:Book/LalEtAl2004.pdf:PDF},
Keywords = {soil concept;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Mastersthesis{Lam2004,
Title = {Comparison of flow routing algorithms used in geographic information systems},
Author = {Christine Suet-Yan Lam},
Pages = {105},
School = {University of Southern California},
Year = {2004},
Abstract = {Flow direction and specific catchment area were calculated for different flow routing algorithms using TAPES-G and TauDEM. A fuzzy classification was used along with eight topo-climatic attributes to delineate six landscape classes from a 10-meter USGS DEM. A series of maps and tabular outputs were produced to compare flow routing predictions in different parts of the study area. The matched pair t-test was used to compare the performance of pairs of specific catchment area grids across six user-defined fuzzy landscape classes. The results show that: (1) the ?source? cells predicted with the D?, DEMON, and FD8 algorithms were confined to hilltops; (2) two single flow routing algorithms (Rho8, D8) produced poor results; and (3) the choice of flow routing algorithm has important consequences for the calculation of upslope contributing areas, sediment transport capacity, topographic wetness, and several other terrain-based indices.},
Owner = {Alessandro},
Timestamp = {2011.01.12},
Url = {http://gislab.usc.edu/i/publications/lam_2004.pdf}
}
@Article{Lambdin2012,
Title = {Significance tests as sorcery: science is empirical - significance tests are not},
Author = {Lambdin, Charles},
Journal = {Theory and Psychology},
Pages = {67-90},
Volume = {22},
Year = {2012},
Number = {1},
Abstract = {Since the 1930s, many of our top methodologists have argued that significance tests are not conducive to science. Bakan (1966) believed that ?everyone knows this? and that we slavishly lean on the crutch of significance testing because, if we didn?t, much of psychology would simply fall apart. If he was right, then significance testing is tantamount to psychology?s ?dirty little secret.? This paper will revisit and summarize the arguments of those who have been trying to tell us - for more than 70 years - that p values are not empirical. If these arguments are sound, then the continuing popularity of significance tests in our peer-reviewed journals is at best embarrassing and at worst intellectually dishonest.},
Doi = {10.1177/0959354311429854},
Eprint = {http://tap.sagepub.com/content/22/1/67.full.pdf+html},
File = {Lambdin2012.pdf:Theory and Psychology/Lambdin2012.pdf:PDF},
Url = {http://tap.sagepub.com/content/22/1/67.abstract}
}
@Article{LamoreyEtAl1995,
Title = {Estimation of semivariogram parameters and evaluation of the effects of data sparsity},
Author = {Lamorey, Gregg and Jacobson, Elizabeth},
Journal = {Mathematical Geology},
Pages = {327–358},
Volume = {27},
Year = {1995},
Month = {Apr},
Number = {3},
Doi = {10.1007/bf02084606},
File = {LamoreyEtAl1995.pdf:LamoreyEtAl1995.pdf:PDF},
ISSN = {1573-8868},
Keywords = {Spatial; Sampling; Design; Optimization; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{LanEtAl2010,
Title = {Application of statistical power analysis - how to determine the right sample size in human health, comfort and productivity research},
Author = {Li Lan and Zhiwei Lian},
Journal = {Building and Environment},
Pages = {1202-1213},
Volume = {45},
Year = {2010},
Number = {5},
Abstract = {The minimum size of subjects required for the research on human health, thermal comfort and productivity is a frequently asked question. In this paper the idea of power analysis, which helps to determine required sample size as well as to interpret research results, is introduced in order to promote good practice of power analysis in the context of human and building environment relationship research. How to calculate effect size from published article or experimental data is presented with plenty of examples. The effect sizes of several physiological and psychological measurements indicating the effect of indoor environment quality on human health, thermal comfort and productivity are presented, which could be worked as references when researchers planning their own studies. How to determine required sample size when planning a study and how to interpret the research results with power analysis are also illustrated step by step with samples. Finally how to make decisions when evaluating the study results is summarized. It is expected that these examples and the summary could help researchers to better apply power analysis in indoor environment quality (IEQ) studies. Some statistical terms used in this paper, such as power analysis, effect size, and t-test, etc., are explained in detail in the Appendix.},
Doi = {10.1016/j.buildenv.2009.11.002},
File = {LanEtAl2010.pdf:Building and Environment/LanEtAl2010.pdf:PDF},
Keywords = {Indoor environment quality; Sample size; Power analysis; Thermal comfort; Productivity}
}
@Article{LanEtAl2007,
Title = {Automatic baseline correction of infrared spectra},
Author = {Tiange Lan and Yonghua Fang and Wei Xiong and Chao Kong},
Journal = {Chinese Optics Letters},
Pages = {613-616},
Volume = {5},
Year = {2007},
Abstract = {A fast automatic algorithm is proposed for baseline correction of infrared (IR) spectral signals. It is devised based on iterative curve fitting where orthogonal polynomials are used. The algorithm can process both emission and absorption spectra automatically without human intervention. Orthogonal polynomials are used for curve fitting to reduce computation time. Both emission and absorption spectra are obtained and the results demonstrate the feasibility and practicability of this algorithm.},
File = {:Chinese Optics Letters/Lan et al_Chin Opt Lett_2007.pdf:PDF},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Book{LandauEtAl2004,
Title = {A handbook of statistical analyses using SPSS},
Address = {Boca Raton},
Author = {Sabine Landau and Brian S. Everitt},
Pages = {336},
Publisher = {Chapman and Hall/CRC},
Year = {2004},
Edition = {1},
File = {LandauEtAl2004.pdf:Book/LandauEtAl2004.pdf:PDF},
Keywords = {stepwise;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Manual{Landeiro2011,
Title = {Introdução ao uso do programa R},
Author = {Victor Lemes Landeiro},
Pages = {50},
Publisher = {Manaus: Instituto Nacional de Pesquisas da Amazônia},
Year = {2011},
Keywords = {análise de coordenadas principais},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.05},
Url = {http://www.scribd.com/doc/55582026/Apostila-R}
}
@Article{Landreneau2005,
Title = {Sampling Strategies},
Author = {Kandace J. Landreneau},
Journal = {NATCO},
Pages = {1-2},
Year = {2005},
File = {Landreneau2005.pdf:Landreneau2005.pdf:PDF},
Keywords = {sampling strategy;},
Owner = {alessandro},
Timestamp = {03.12.2013},
Url = {http://www.natco1.org/research/files/SamplingStrategies.pdf}
}
@Article{Lane2002,
Title = {Generalized linear models in soil science},
Author = {P. W. Lane},
Journal = {European Journal of Soil Science},
Pages = {241-251},
Volume = {53},
Year = {2002},
File = {:European Journal of Soil Science/Lane_Eur J Soil Sci_2002.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Article{Lang1992,
Title = {Accuracy of two sampling methods used to estimate sediment concentrations in runoff from soil-loss plots},
Author = {Lang, R. D.},
Journal = {Earth Surface Processes and Landforms},
Pages = {841-844},
Volume = {17},
Year = {1992},
Number = {8},
Abstract = {The use of a bottle sampler and a soil pipette to quickly and accurately sample soil-water mixtures of known sediment concentrations was tested. Both devices failed to sample adequately soil-water mixtures containing 1â€?187 glâ??1 of solid particles. Poor sampling ability was attributed to rapid settlement of larger particles and to innate deficiencies in the sediment trapping ability of the samplers. These sampling devices should not be used to estimate sediment loads in runoff from soil-loss plots, and erosion data from plot studies which have used a sediment sampling procedure should be treated with caution.},
Doi = {10.1002/esp.3290170809},
ISSN = {1096-9837},
Keywords = {Runoff plots, Soil loss, Sediment concentrations, Sampling errors},
Publisher = {John Wiley and Sons, Ltd},
Url = {http://dx.doi.org/10.1002/esp.3290170809}
}
@Article{LangEtAl2013,
Title = {Soil taxonomic distance, a tool for correlation: as exemplified by the Hungarian Brown Forest Soils and related WRB Reference Soil Groups},
Author = {Vince Láng and Márta Fuchs and István Waltner and Erika Michéli},
Journal = {Geoderma},
Pages = {269–276},
Volume = {192},
Year = {2013},
File = {LangEtAl2013.pdf:LangEtAl2013.pdf:PDF},
Owner = {alessandro},
Timestamp = {2013.04.14}
}
@Inproceedings{LangEtAl2010,
Title = {Pedometrics application for correlation of Hungarian soil types with WRB},
Author = {Vince Láng And Márta Fuchs And István Waltner And Erika Michéli},
Booktitle = {19th World Congress of Soil Science, Soil Solutions for a Changing World, 1 ? 6 August 2010, Brisbane, Australia.},
Pages = {21-24},
Year = {2010},
File = {LangEtAl2010.pdf:Anais/LangEtAl2010.pdf:PDF},
Keywords = {taxonomic distance},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.03}
}
@Inbook{LangeEtAl2003a,
Title = {Metodologias para análises laboratoriais de resíduos sólidos urbanos, líquidos lixiviados de aterros sanitários e solos},
Author = {L.C. Lange and H.M.G. Coelho and D.E.W.S. Alves and C.F.A. Ferreira and G.F. Simões},
Booktitle = {Resíduos sólidos urbanos: aterro sustentável para municípios de pequeno porte},
Editor = {Armando Borges},
Pages = {199-221},
Publisher = {Rio de Janeiro: ABES},
Year = {2003},
Chapter = {Apêndice 1},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Inbook{LangeEtAl2006,
Title = {Processos construtivos de aterros sanitários: ênfase no estudo de camadas de cobertura como mecanismo de controle da geração de lixiviados},
Author = {L.C. Lange and L.P. Gomes and A.B. Castilhos.Junior and E. Ritter and C.A.M. Moraes and G.F. Simões and E.C.C. Prim and C.F.A. Ferreira and F.V.B. Silva and H.M.G. Coelho and R.D. Boff},
Booktitle = {Gerenciamento de resíduos sólidos urbanos com ênfase na proteção de corpos d'água: prevenção, geração e tratamento de lixiviados de aterros sanitários},
Pages = {109-208},
Publisher = {Rio de Janeiro: ABES},
Year = {2006},
Chapter = {4},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Inbook{LangeEtAl2003,
Title = {Aterro sustentável: um estudo para a cidade de Caldas Altas, MG},
Author = {L.C. Lange and G.F. Simões and S.F.A. Ferreira},
Booktitle = {Resíduos sólidos urbanos: aterro sustentável para municípios de pequeno porte},
Editor = {Armando Borges de Castilhos Junior},
Pages = {143-197},
Publisher = {Rio de Janeiro: ABES},
Year = {2003},
Chapter = {5},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{LangeveldEtAl1978,
Title = {A comparison of the effectiveness of eight methods for the removal of organic matter from clay},
Author = {A. D. van Langeveld and S. J. van der Gaast and D. Eisma},
Journal = {Clays and Clay Minerals},
Pages = {361-364},
Volume = {26},
Year = {1978},
Abstract = {Organic matter present in clayey sediments may act as a cement between the clay particles as well as a blocking agent for the swelling of clay minerals like montmorillonite. Removal of the organic matter is important when a clay sample is to be characterized by X-ray powder diffraction, or when it is to be separated into the composing minerals on the basis of differences in density. Eight different methods for the removal of organic matter from a North Sea clay sample have been studied. Of all methods tried bromine oxidation was found to be the most effective.},
File = {:Clays and Clay Minerals/Langeveld et al_Clay Clay Miner_1978.pdf:PDF},
Keywords = {Carbon disulfide, Hydrogen peroxide, Hypobromite, Montmorillonite, Organic.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://www.clays.org/journal/archive/volume%2026/26-5-361.pdf}
}
@Techreport{LanzaEtAl2005,
Title = {Orientações técnicas para operação de aterro sanitário},
Author = {Vera Christina Vaz Lanza and André Luciano Carvalho and Riordan Vargas Alvim},
Pages = {32},
Year = {2005},
Institution = {Fundação Estadual do Meio Ambiente (FEAM), Belo Horizonte, Minas Gerais},
Keywords = {Saneamento, aterro sanitário},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{Lark2012,
Title = {Towards soil geostatistics},
Author = {Lark, R.M.},
Journal = {Spatial Statistics},
Pages = {92–99},
Volume = {1},
Year = {2012},
Month = {May},
Doi = {10.1016/j.spasta.2012.02.001},
File = {Lark2012.pdf:Lark2012.pdf:PDF},
ISSN = {2211-6753},
Keywords = {LMM; REML; EBLUP;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{Lark_2011,
Title = {Spatially nested sampling schemes for spatial variance components: Scope for their optimization},
Author = {Lark, R.M.},
Journal = {Computers \& Geosciences},
Pages = {1633–1641},
Volume = {37},
Year = {2011},
Month = {Oct},
Number = {10},
Doi = {10.1016/j.cageo.2010.12.010},
ISSN = {0098-3004},
Publisher = {Elsevier BV},
Url = {http://dx.doi.org/10.1016/j.cageo.2010.12.010}
}
@Article{Lark2002,
Title = {Optimized spatial sampling of soil for estimation of the variogram by maximum likelihood},
Author = {R.M. Lark},
Journal = {Geoderma},
Pages = {49-80},
Volume = {105},
Year = {2002},
Abstract = {Recent studies have attempted to optimize the configuration of sample sites for estimation of the variogram by the usual method-of-moments. This paper shows that objective functions can readily be defined for estimation by the method of maximum likelihood. In both cases an objective function can only be defined for a specified variogram so some prior knowledge about the spatial variation of the property of interest is necessary. This paper describes the principles of the method, using Spatial Simulated Annealing for optimization, and applies optimized sample designs to simulated data. For practical applications it seems that the most fruitful way of using the technique is for supplementing simple systematic designs that provide an initial estimate of the variogram.},
Doi = {10.1016/S0016-7061(01)00092-1},
Keywords = {Spatial variation; Geostatistics; Soil sampling; Optimization; Design; Pedometrics; DSM; Starting; Sample; Pattern;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{LarkEtAl1998,
Title = {A geostatistical descriptor of the spatial distribution of soil classes, and its use in predicting the purity of possible soil map units},
Author = {R.M. Lark and P.H.T. Beckett},
Journal = {Geoderma},
Pages = {243-267},
Volume = {83},
Year = {1998},
Abstract = {A geostatistical descriptor of the spatial distribution of soil profile classes is discussed, the Sum of Indicator Variograms (SIV). This function may be estimated for a region from observations of the soil profile class occurring at a systematic array of sample sites, and fitted by an authorised variogram model. It is shown that the fitted variogram model can be used, given some simplifying assumptions, to predict the average purity of map units for a soil map of the region with a legend of simple units corresponding to the profile classes. An indication of the mean boundary interval of alternative maps is also given by the variogram model, although this should be treated with caution. The method proposed could therefore be useful when analysing observations from a reconnaissance soil survey, as an aid to selecting appropriate methods for more detailed survey.},
File = {LarkEtAl1998.pdf:Geoderma/LarkEtAl1998.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.09}
}
@Article{LarkEtAl2007,
Title = {Cokriging particle size fractions of the soil},
Author = {R.M. Lark and T.F.A. Bishop},
Journal = {European Journal of Soil Science},
Pages = {763-774},
Volume = {58},
Year = {2007},
Abstract = {It is often necessary to predict the distribution of mineral particles in soil between size fractions, given observations at sample sites. Because the contents in each fracti in necessarily sum to 100%, these values constitute a composition, which we may assume is drawn from a random compositional variate. Elements of a D-component composition are subject to non-stochastic constraints; they are constrained to lie on a D ? 1 dimensional simplex. This means we cannot treat them as realizations of unbounded random variables such as the multivariate Gaussian. For this reason, there are theoretical reasons not to use ordinary cokriging (or ordinary kriging) to map particle size distributions. Despite this, the compositional constraints on data on particle size fractions are not always accounted for by soil scientists. The additive log-ratio (alr) transform can be used to transform data from a compositional variate into a form that can be treated as a realization of an unbounded random variable. Until now, while soil scientists have made use of the alr transform for the spatial prediction of particle size, there has been concern that the simple back-transform of the optimal estimate of the alr-transformed variables does not yield the optimal estimate of the composition. A numerical approximation to the conditional expectation of the composition has been proposed, but we are not aware of examples of its application and it has not been used in soil science. In this paper, we report two case studies in which we predicted clay, silt and sand contents of the soil at test sites by ordinary cokriging of the alr-transformed data followed by both the direct (biased) backtransform of the estimates and the unbiased back-transform. We also computed estimates by ordinary cokriging of the untransformed data (which ignores the compositional constraints on the variables) for comparison. In one of our case studies, the benefit of using the alr transform was apparent, although there was no consistent advantage in using the unbiased back-transform. In the other case study, there was no consistent advantage in using the alr transform, although the bias of the simple back-transform was apparent. The differences between these case studies could be explained with respect to the distribution on the simplex of the particle size fractions at the two sites.},
Doi = {10.1111/j.1365-2389.2006.00866.x},
File = {:European Journal of Soil Science/Lark & Bishop_Eur J Soil Sci_2007.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{LarkEtAl2008,
Title = {Digital soil mapping, or digital soil information?},
Author = {R.M. Lark and R. Corstanje and M.J. Pringle},
Journal = {Geophysical Research Abstracts},
Pages = {1-2},
Volume = {10},
Year = {2008},
File = {LarkEtAl2008.pdf:Geophysical Research Abstracts/LarkEtAl2008.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.15}
}
@InCollection{Lark2006,
Title = {Decomposing digital soil information by spatial scale},
Author = {R. M. Lark},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {23},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {301 - 326, 616},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Digital soil mapping (DSM) depends on the identification of relationships between soil variables and informative covariates. These have components of variation that correspond to different spatial scales, so an analysis of variation by spatial scale may be both informative and of practical value for improving predictions of soil properties. In this chapter multiresolution analysis on wavelet basis functions is explained and illustrated, using both continuous variables and indicator variables defined on soil classes. A case study is presented in which a decomposition of sensor data on soil electrical conductivity resulted in better predictive models for soil properties. The use of wavelet methods for denoising data is illustrated. Because of the local properties of wavelet coefficients it is possible to smooth noise while retaining local variation at high spatial frequencies that appears to be significant. Finally, it is shown how wavelet packet transforms and best-basis identification can be used to develop a wavelet basis that is adapted to the properties of a particular data set.},
Doi = {10.1016/S0166-2481(06)31023-9},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Article{Lark2011,
Title = {Spatially nested sampling schemes for spatial variance components: scope for their optimization},
Author = {Lark, R M},
Journal = {Computers \& Geosciences},
Pages = {1633-1641},
Volume = {37},
Year = {2011},
Month = {Oct},
Number = {10},
Doi = {10.1016/j.cageo.2010.12.010},
File = {Lark2011.pdf:Lark2011.pdf:PDF},
ISSN = {0098-3004},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{Lark2000,
Title = {Estimating variograms of soil properties by the method-of-moments and maximum likelihood},
Author = {R. M. Lark},
Journal = {European Journal of Soil Science},
Pages = {717-728},
Volume = {51},
Year = {2000},
Abstract = {Variograms of soil properties are usually obtained by estimating the variogram for distinct lag classes by the method-of-moments and fiting an appropriate model to the estimates. An alternative is to fit a model by maximum likelihood to data on the assumption that they are a realization of a multivariate Gaussian process. This paper compares the two using both simulation and real data. The method-of-moments and maximum likelihood were used to estimate the variograms of data simulated from stationary Gaussian processes. In one example, where the simulated field was sampled at different intensities, maximum likelihood estimation was consistently more efficient than the method-ofmoments, but this result was not general and the relative performance of the methods depends on the form of the variogram. Where the nugget variance was relatively small and the correlation range of the data was large the method-of-moments was at an advantage and likewise in the presence of data from a contaminating distribution. When fields were simulated with positive skew this affected the results of both the method-of-moments and maximum likelihood. The two methods were used to estimate variograms from actual metal concentrations in topsoil in the Swiss Jura, and the variograms were used for kriging. Both estimators were susceptible to sampling problems which resulted in over- or underestimation of the variance of three of the metals by kriging. For four other metals the results for kriging using the variogram obtained by maximum likelihood were consistently closer to the theoretical expectation than the results for kriging with the variogram obtained by the method-of-moments, although the differences between the results using the two approaches were not significantly different from each other or from expectation. Soil scientists should use both procedures in their analysis and compare the results.},
Doi = {10.1046/j.1365-2389.2000.00345.x},
File = {Lark2000.pdf:European Journal of Soil Science/Lark2000.pdf:PDF},
Keywords = {Method-of-moments;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{Lark1998,
Title = {Forming spatially coherent regions by classification of multi-variate data: an example from the analysis of maps of crop yield},
Author = {Lark, R M},
Journal = {International Journal of Geographical Information Science},
Pages = {83-98},
Volume = {12},
Year = {1998},
Number = {1},
Publisher = {Taylor and Francis Ltd},
Url = {http://www.informaworld.com/openurl?genre=article&doi=10.1080/136588198242021&magic=crossref}
}
@Article{LarkEtAl1995,
Title = {A regular pattern in the relative areas of soil profile classes and possible applications in reconnaissance soil survey},
Author = {Lark, R. M. and Beckett, P. H. T.},
Journal = {Geoderma},
Pages = {27-37},
Volume = {68},
Year = {1995},
Month = {Sep},
Number = {1-2},
Doi = {10.1016/0016-7061(95)00021-f},
File = {LarkEtAl1995.pdf:LarkEtAl1995.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{LarkEtAl2007a,
Title = {Using expert knowledge with control of false discovery rate to select regressors for prediction of soil properties},
Author = {R. M. Lark and T. F. A. Bishop and R. Webster},
Journal = {Geoderma},
Pages = {65-78},
Volume = {138},
Year = {2007},
Number = {1-2},
Abstract = {Soil scientists often have many covariates that they can use to predict soil properties by regression. They are ill-advised to use all available covariates uncritically, but methods for selection (whether informal or formal) that depend on data for both the predictors and the predictand are subject to selection bias. In this paper we propose an approach that uses automated methods for selecting variables, but which controls the rate of false rejection of true null hypotheses about the various predictive regression models that are considered. This approach reduces the effects of selection bias. Expert judgement is used both to determine the size of the pool of models that is searched (matching it to the strength of evidence for the existence of good models) and to ensure that the searched subset of possible models includes those that make sense, given our knowledge of the soil. The method is described, and a case study is presented on the prediction of soil properties in a large field in northern New South Wales, Australia.},
Doi = {10.1016/j.geoderma.2006.10.015},
File = {:Geoderma/Lark et al_Geoderma_2007.pdf:PDF},
Keywords = {Model selection, redemds}
}
@Article{LarkEtAl2009,
Title = {Non-homogeneity of variance components from spatially nested sampling of the soil},
Author = {Lark, R. M. and Corstanje, R.},
Journal = {European Journal of Soil Science},
Pages = {443-452},
Volume = {60},
Year = {2009},
Month = {Jun},
Number = {3},
Doi = {10.1111/j.1365-2389.2009.01133.x},
File = {LarkEtAl2009.pdf:LarkEtAl2009.pdf:PDF},
ISSN = {1365-2389},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{LarkEtAl2004,
Title = {Model-based analysis using {REML} for inference from systematically sampled data on soil},
Author = {Lark, R. M. and Cullis, B. R.},
Journal = {European Journal of Soil Science},
Pages = {799-813},
Volume = {55},
Year = {2004},
Number = {4},
Abstract = {The general linear model encompasses statistical methods such as regression and analysis of variance (anova) which are commonly used by soil scientists. The standard ordinary least squares (OLS) method for estimating the parameters of the general linear model is a design-based method that requires that the data have been collected according to an appropriate randomized sample design. Soil data are often obtained by systematic sampling on transects or grids, so OLS methods are not appropriate.Parameters of the general linear model can be estimated from systematically sampled data by model-based methods. Parameters of a model of the covariance structure of the error are estimated, then used to estimate the remaining parameters of the model with known variance. Residual maximum likelihood (REML) is the best way to estimate the variance parameters since it is unbiased. We present the REML solution to this problem. We then demonstrate how REML can be used to estimate parameters for regression and anova-type models using data from two systematic surveys of soil.We compare an efficient, gradient-based implementation of REML (ASReml) with an implementation that uses simulated annealing. In general the results were very similar; where they differed the error covariance model had a spherical variogram function which can have local optima in its likelihood function. The simulated annealing results were better than the gradient method in this case because simulated annealing is good at escaping local optima.},
Doi = {10.1111/j.1365-2389.2004.00637.x},
File = {LarkEtAl2004.pdf:European Journal of Soil Science/LarkEtAl2004.pdf:PDF},
ISSN = {1365-2389},
Keywords = {linear mixed models;}
}
@Article{LarkEtAl2006,
Title = {On spatial prediction of soil properties in the presence of a spatial trend: the empirical best linear unbiased predictor ({E-BLUP}) with {REML}},
Author = {Lark, R. M. and Cullis, B. R. and Welham, S. J.},
Journal = {European Journal of Soil Science},
Pages = {787-799},
Volume = {57},
Year = {2006},
Month = {Dec},
Number = {6},
Doi = {10.1111/j.1365-2389.2005.00768.x},
File = {LarkEtAl2006.pdf:LarkEtAl2006.pdf:PDF},
ISSN = {1365-2389},
Keywords = {PhDpaper1},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{LarkEtAl2013,
Title = {The offset correlation, a novel quality measure for planning geochemical surveys of the soil by kriging},
Author = {Lark, R. M. and Lapworth, D. J.},
Journal = {Geoderma},
Pages = {27-35},
Volume = {197-198},
Year = {2013},
Month = {Apr},
Doi = {10.1016/j.geoderma.2012.12.020},
File = {LarkEtAl2013.pdf:LarkEtAl2013.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Best Paper in Pedometrics 2013;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{LarkEtAl1999,
Title = {Analysis and elucidation of soil variation using wavelets},
Author = {Lark, R M and Webster, R},
Journal = {European Journal of Soil Science},
Pages = {185-206},
Volume = {50},
Year = {1999},
Abstract = {@article {EJSS:EJSS234, author = {Lark, R. M. and Webster, R.}, title = {Analysis and elucidation of soil variation using wavelets}, journal = {European Journal of Soil Science}, volume = {50}, number = {2}, publisher = {Blackwell Science Ltd}, issn = {1365-2389}, url = {http://dx.doi.org/10.1046/j.1365-2389.1999.t01-1-00234.x}, doi = {10.1046/j.1365-2389.1999.t01-1-00234.x}, pages = {185-206}, year = {1999}, abstract = {SummaryA wavelet is a compact analysing kernel that can be moved over a sequence of data to measure variation locally. There are several families of wavelet, and within any one family wavelets of different lengths and therefore smoothness and their corresponding scaling functions can be assembled into a collection of orthogonal functions. Such an assemblage can then be applied to filter spatial data into a series of independent components at varying scales in a single coherent analysis. The application requires no assumptions other than that of finite variance. The methods have been developed for processing signals and remote imagery in which data are abundant, and they need modification for data from field sampling. The paper describes the theory of wavelets. It introduces the pyramid algorithm for multiresolution analysis and shows how it can be adapted for fairly small sets of transect data such as one might obtain in soil survey. It then illustrates the application using Daubechies’s wavelets to two soil transects, one of gilgai on plain land in Australia and the other across a sedimentary sequence in England. In both examples the technique revealed strongly contrasting local features of the variation that had been lost by averaging in previous analyses and expressed them quantitatively in combinations of both scale and magnitude. Further, the results could be explained as the spatial effects of change in topography or geology underlying the variation in the soil.Analyse et éclairissement sur la variation du sol en utilisant les ondelettes RésuméUne ondelette est un noyau compact d’analyse qu’on peut passer sur une séquence de données pour quantifier la variation localement. Plusieurs familles d’ondelettes existent. Chaque famille est caractérisée par des fonctions d’échelle de longueurs d’ondes et de degrés de lissage différents, le tout constituant un ensemble de fonctions orthogonales. L’application de ces fonctions sur des données spatiales est une méthode d’analyse unique et cohérente qui permet de filtrer des données spatiales en identifiant des composantes indépendentes à différentes échelles. L’application n’éxige que l’hypothése d’une variance bornée. Ces méthodes ont été developpées pour le traitement de signaux qui contiennent énormement de données comme des images de télédétection. Elles necessitent des modifications avant de les appliquer sur des données d’échantillonage provenant du terrain. Cet article décrit la théorie d’ondelettes. Il introduit l’algorithme pyramidal pour une analyse à quelques résolutions. Il montre ensuite comment on peut adapter l’algorithme pour un ensemble de données peu nombreuses comme celles qu’on peut obtenir lors d’une prospection du sol sur des transects.Les resultats montrent l’application des ondelettes de Daubechies à deux transects pédologiques, lepremier situé sur une plaine marquée de gilgaï en Australie, et le second à travers une séquence de sediments jurassiques en Angleterre. Dans les deux exemples, la technique a révélé des contrastes bien marqués de certain traits locaux qui ont été totalement occultés dans des analyses antérieures basées sur le calcul des moyennes. La technique des ondelettes permet aussi une quantification de ces traits locaux, en fonction de l’échelle d’observation et de la magnitude. De plus, ces résultats peuvent être interprétés par les effets d’une variation spatiale de la topographie ou de la géologie qui sont à l’origine de la variation du sol.}, }},
Doi = {10.1046/j.1365-2389.1999.t01-1-00234.x},
File = {LarkEtAl1999.pdf:LarkEtAl1999.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.06}
}
@Article{LarsonEtAl1979,
Title = {Chloroform and Chlorophenol Production by Decarboxylation of Natural Acids during Aqueous Chlorination},
Author = {Richard A. Larson and Arlene L. Rockwell},
Journal = {Environmental Science and Technology},
Pages = {325-329},
Volume = {13},
Year = {1979},
Number = {3},
Abstract = {Naturally occurring carboxylic acids of several structural types reacted in dilute solution with aqueous hypochlorite to afford decarboxylation products. Incorporation of chlorine into the residual organic molecule occurred. Citric acid was efficiently converted to chloroform at pH 7 by a pathway probably involving 3-ketoglutaric acid as an intermediate; in acidic or alkaline solution, yields of CHCl3 were lower. Several other enolizable keto acids (including all three isomers of resorcylic acid) were likewise precursors of CHCl3 or of substances which could thermally be converted to CHCl3; yields varied widely. Two substituted benzoic acids common to natural waters, p-hydroxybenzoic acid and vanillic acid, were decarboxylated by hypochlorite with the production of chlorophenols.},
File = {:Environmental Science & Technology/Larson & Rockwell_Environ Sci Technol_1979.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://pubs.acs.org/doi/abs/10.1021/es60151a014}
}
@Conference{LarsonEtAl1991,
Title = {Conservation and enhancement of soil quality},
Author = {W E Larson And F J Pierce},
Booktitle = {Evaluation for sustainable land management in the developing world},
Year = {1991},
Pages = {175-203},
Publisher = {Int. Board for Soil Res. and Manage.},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{LaslettEtAl1990,
Title = {Further comparison of spatial methods for predicting soil p{H}},
Author = {Laslett, G. M. and McBratney, A. B.},
Journal = {Soil Science Society of America Journal},
Pages = {1553},
Volume = {54},
Year = {1990},
Number = {6},
Doi = {10.2136/sssaj1990.03615995005400060007x},
File = {LaslettEtAl1990.pdf:LaslettEtAl1990.pdf:PDF},
ISSN = {0361-5995},
Keywords = {Spatial; Sampling; Design; Optimization; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Soil Science Society of America}
}
@Article{LaslettEtAl1987,
Title = {Comparison of several spatial prediction methods for soil p{H}},
Author = {Laslett, G. M. and McBratney, A. B. and Pahl, P. J. and Hutchinson, M. F.},
Journal = {Journal of Soil Science},
Pages = {325-341},
Volume = {38},
Year = {1987},
Month = {Jun},
Number = {2},
Doi = {10.1111/j.1365-2389.1987.tb02148.x},
File = {LaslettEtAl1987.pdf:LaslettEtAl1987.pdf:PDF},
ISSN = {0022-4588},
Keywords = {PEV; DSM; cross-validation; pedometrics; PhDpaper1},
Publisher = {Wiley-Blackwell}
}
@Inproceedings{Last2006,
Title = {The uncertainty principle of cross-validation},
Author = { Last, M.},
Booktitle = {2006 IEEE International Conference on Granular Computing},
Pages = { 275 - 280},
Year = {2006},
Month = {may},
Abstract = {Not available},
Doi = {10.1109/GRC.2006.1635796},
File = {Last2006.pdf:Last2006.pdf:PDF}
}
@Mastersthesis{Lauermann2007,
Title = {Caracterização química dos efluentes gerados pelo aterro controlado de Santa Maria e retenção de chumbo e zinco por um Argissolo da Depressão Central do Rio Grande do Sul},
Address = {Santa Maria},
Author = {Andressa Lauermann},
Pages = {1-72},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2007},
Keywords = {poluição da água, contaminação do solo, resíduos sólidos urbanos, chorume.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {12.09.2009},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Article{LaurentEtAl2012,
Title = {{GeoXp}: an {R} package for exploratory spatial data analysis},
Author = {Thibault Laurent and Anne Ruiz-Gazen and Christine Thomas-Agnan},
Journal = {Journal of Statistical Software},
Pages = {1-23},
Volume = {47},
Year = {2012},
Number = {2},
Abstract = {We present GeoXp, an R package implementing interactive graphics for exploratory spatial data analysis. We use a data set concerning public schools of the French Midi- Pyr´en´ees region to illustrate the use of these exploratory techniques based on the cou- pling between a statistical graph and a map. Besides elementary plots like boxplots, histograms or simple scatterplots, GeoXp also couples maps with Moran scatterplots, variogram clouds, Lorenz curves and other graphical tools. In order to make the most of the multidimensionality of the data, GeoXp includes dimension reduction techniques such as principal components analysis and cluster analysis whose results are also linked to the map.},
File = {LaurentEtAl2012.pdf:LaurentEtAl2012.pdf:PDF},
Keywords = {redemds;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.02}
}
@Article{LavkulichEtAl1970,
Title = {Comparison of organic matter destruction by hydrogen peroxide and sodium hypochlorite and its effects on selected mineral constituents},
Author = {L. M. Lavkulich and J. H. Wiens},
Journal = {Soil Science Society of America Journal},
Pages = {755-758},
Volume = {34},
Year = {1970},
Abstract = {The destruction of organic matter from widely different soils was evaluated by using hydrogen peroxide and sodium hypochlorite oxidation procedures. The amounts of extractable Si, Mn, AI, and Fe were determined on the residues following treatment with the oxidizing agents by using acid ammonium oxalate and 0.5N NaOH extraction procedures. In addition, the amount of Si, Mn, Fe, and Al in the extracting solutions was determined. It was found that NaOCl extracted more organic matter with less destruction of the oxides than procedures employing H2O2. This was substantiated statistically using the (-test as applied to paired values. Three treatments with NaOCl were concluded to be satisfactory for destruction of organic matter with minimum removal of Si, Mn, Fe, and Al.},
Keywords = {carbon, iron, aluminum, silicon, manganese.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVOTNhMDUxODctMjU0MS00NGU5LWIxMmYtZmJhMGEyNDRhMTgx&hl=en&authkey=CISThYoN}
}
@Article{Leamer1985,
Title = {Sensitivity analyses would help},
Author = {Leamer, Edward E.},
Journal = {The American Economic Review},
Pages = {308-313},
Volume = {75},
Year = {1985},
Number = {3},
Copyright = {Copyright © 1985 American Economic Association},
File = {Leamer1985.pdf:The American Economic Review/Leamer1985.pdf:PDF},
ISSN = {00028282},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Jun., 1985},
Keywords = {redemds},
Language = {English},
Publisher = {American Economic Association},
Url = {http://www.jstor.org/stable/1814801}
}
@Article{LeeEtAl1997,
Title = {Assessing influence on the goodness-of-link in generalized linear models},
Author = {Andy H. Lee and Yuejen Zhao},
Journal = {Statistics and Probability Letters},
Pages = {351 - 358},
Volume = {31},
Year = {1997},
Number = {4},
Abstract = {The evidence for a hypothesized link function in a generalized linear model may depend crucially on one or a few observations. Global and local influence diagnostics are proposed to assess influence on the goodness-of-link test. It is found that the local influence method can reveal influential observations on the link even when masking is present.},
Doi = {DOI: 10.1016/S0167-7152(96)00049-1},
ISSN = {0167-7152},
Keywords = {Goodness-of-link test},
Url = {http://www.sciencedirect.com/science/article/B6V1D-3SNN2NC-15/2/fb991be5b846a5d44cc0b2f82db44832}
}
@Article{LeempoelEtAl2011,
Title = {Ph.D. Showcase: Very High Resolution Digital Elevation Models (VHR DEMs) and multiscale landscape genomics analysis applied to an alpine plant species},
Author = {Leempoel, Kevin and Stucki, Sylvie and Parisod, Christian and Joost, Stéphane},
Journal = {The SIGSPATIAL Special},
Pages = {10-14},
Volume = {3},
Year = {2011},
Number = {3},
Abstract = {In landscape genomics, choosing the appropriate environmental parameter is primordial. While most studies are looking at large scale associations between genetic markers and environmental variables, adaptation of plants can also happen on a fine scale. However, the predictive ability of large scale predictors is weak when considering microclimates and landscape heterogeneity in mountainous areas. In that context, DEM's derivatives have been proven useful but remain confidential. This research focuses on the alpine herb Biscutella laevigata subsp. laevigata L., an autotetraploid perennial plant, which occurs in small patches in a heterogeneous landscape. The objectives are firstly, to explore correlations between environmental variables, exclusively derived from two DEMs of different spatial resolutions, respectively 25 and 2 meters, and genetic markers. Secondly, to analyze the effect of different spatial resolutions on significant correlations. The most important result obtained is the large congruency between results from a population genomics and a spatial coincidence approach. In addition, three variables show interesting results that is altitude, duration of insolation and morphometric protection index, which is rarely used. And finally, better significances were found most of the times with the 25m DEM, which raises questions about the most appropriate scale of computation of geomorphological and environmental processes.},
File = {LeempoelEtAl2011.pdf:LeempoelEtAl2011.pdf:PDF},
Keywords = {saga gis; morphometric protection index;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21},
Url = {http://www2.unine.ch/files/content/sites/evobot/files/shared/documents/CP_Publications_Data/Leempoel_etal_11_SIGSPATIAL.pdf}
}
@Article{Leeper1956,
Title = {The classification of soils},
Author = {Leeper, G. W.},
Journal = {Journal of Soil Science},
Pages = {59-64},
Volume = {7},
Year = {1956},
Number = {1},
Doi = {10.1111/j.1365-2389.1956.tb00861.x},
ISSN = {1365-2389},
Publisher = {Blackwell Publishing Ltd},
Url = {http://dx.doi.org/10.1111/j.1365-2389.1956.tb00861.x}
}
@Book{Legros2006,
Title = {Mapping of the soil},
Address = {Enfield},
Author = {Jean-Paul Legros},
Pages = {411},
Publisher = {Science Publishers},
Year = {2006},
Edition = {1},
File = {Legros2006.pdf:Legros2006.pdf:PDF},
Keywords = {soil survey; hudson;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.17},
Url = {http://www.amazon.com/Mapping-Soil-Jean-Paul-Legros/dp/157808363X}
}
@Article{Lehmann2006,
Title = {Technosols and other proposals on urban soils for the WRB (World Reference Base for Soil Resources)},
Author = {A. Lehmann},
Journal = {International Agrophysics},
Pages = {129-134},
Volume = {20},
Year = {2006},
Abstract = {Urban soils are defined as soils which are severely influenced by various human activities, but not only by cultivation. These soils have assumed particular significance because they extend over large areas, are intensively used and are increasingly relevant in the consideration of land-use patterns. However, urban soils can bring about both considerable benefits and extreme risk for urban living. Therefore, an effective way of handling taxonomy for urban soils must be taken into account in spatial planning. The taxonomy of urban soils must take into consideration the fact that urban soils are mostly young soils, normally showing only weak signs of soil genesis. In contrast herein urban soils are often characterized by easily differentiable substrate-linked features. Since the early stages of soil genesis are mainly influenced by substrate properties, reasonable taxonomic differentiation of urban soils can be obtained by restricting consideration to substrate- linked properties. Proposals which were first presented during a ses- sion on Anthropogenic soils classifica- tion at the 2nd International Conference on Soil Classification in July 2005, in Petrozavodsk (Russia) are reflected here.},
Keywords = {urban soils, soil taxonomy, World Reference Base for Soil Resources (WRB), land-use},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.international-agrophysics.org/artykuly/international_agrophysics/IntAgr_2006_20_2_129.pdf}
}
@Article{Leisch2009,
Title = {Creating R Packages: A Tutorial},
Author = {Friedrich Leisch},
Year = {2009},
Abstract = {This tutorial gives a practical introduction to creating R packages. We discuss how object oriented programming and S formulas can be used to give R code the usual look and feel, how to start a package from a collection of R functions, and how to test the code once the package has been created. As running example we use functions for standard linear regression analysis which are developed from scratch.},
File = {Leisch2009.pdf:Leisch2009.pdf:PDF},
Keywords = {writing r extensions},
Owner = {alessandro},
Timestamp = {04.12.2013},
Url = {http://cran.r-project.org/doc/contrib/Leisch-CreatingPackages.pdf}
}
@Article{LeiteEtAl2004,
Title = {Simulação pelo modelo Century da dinâmica da matéria orgânica de um Argissolo sob adubação mineral e orgânica},
Author = {L. F. Leite and E. S. Mendonça and P. L. Machado},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {348-358},
Volume = {28},
Year = {2004},
Abstract = {Os modelos de simulação são ferramentas essenciais para o entendimento da dinâmica da matéria orgânica do solo e da transformação de seus compartimentos em solos tropicais. Os objetivos deste estudo foram: (a) simular por meio do modelo Century os efeitos de sistemas de produção de milho sob adubação orgânica e mineral sobre a dinâmica da matéria orgânica em um Argissolo Vermelho-Amarelo, e (b) comparar os estoques de C orgânico total (COT), N total (NT) e dos compartimentos de C medidos por meio de métodos de laboratório e estimados pelo modelo Century na camada superficial (0-20 cm). A área em estudo, sob Floresta Atlântica (FA) até o ano de 1930, foi cultivada com milho e feijão por aproximadamente 50 anos, até à instalação do experimento no ano de 1984. Os tratamentos constaram de combinações entre três doses de adubo mineral, correspondentes a de 0, 250 e 500 kg ha -1 da fórmula 4-14-8, e duas doses de adubo orgânico (esterco bovino com palha de soja e feijão), nas doses de 0 e 40 m 3 ha -1 . Os métodos de laboratório incluíram determinações do COT, do NT, do C da biomassa microbiana (C MIC ), representando o compartimento ativo, e do C da fração leve (C FL ), referenciando o compartimento lento. O compartimento passivo foi obtido por diferença. A parametrização do modelo Century foi realizada a partir dos dados obtidos no experimento e na literatura, enquanto as simulações da dinâmica do COT, NT e dos compartimentos ativo de C lento e passivo incluíram as mudanças no uso da terra ocorridas de 1930 a 2050. O modelo Century estimou diminuição nos estoques de COT, NT e dos compartimentos de C desde a derrubada da FA até o início do experimento e apenas nos tratamentos com adubação orgânica foi observada recuperação desses estoques. O Cm IC e o C FL foram mais sensíveis às mudanças no manejo do que o COT, o que indica a importância desses compartimentos no estudo da dinâmica da matéria orgânica, especialmente em solos tropicais. Os estoques de COT, NT e dos compartimentos de C (lento e passivo), simulados pelo modelo Century, foram similares aos estoques medidos. Os estoques de COT (em Mg ha -1 de C), medidos e simulados pelo modelo Century, foram bem correlacionados (R 2 = 0,93; p < 0,01), assim como para o C do compartimento ativo (R 2 = 0,84; p < 0,05), lento (R 2 = 0,87; p < 0,05) e passivo (R 2 = 0,91; p < 0,05). Também para os estoques de NT (em Mg ha -1 de N), medidos e simulados pelo modelo Century, houve alta correlação (R 2 = 0,93; p < 0,01). O modelo Century demonstrou bom desempenho para simular a dinâmica da matéria orgânica em solos tropicais ácidos.},
Keywords = {compartimentos de carbono, carbono orgânico do solo, solos tropicais.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v28n2/20217.pdf}
}
@Article{LemenihEtAl2005,
Title = {Soil organic matter dynamics after deforestation along a farm field chronosequence in southern highlands of Ethiopia},
Author = {Mulugeta Lemenih and Erik Karltun and Mats Olsson},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {9 - 19},
Volume = {109},
Year = {2005},
Number = {1-2},
Abstract = {Depletion of soil organic matter (SOM) is a major component of soil degradation that threatens the sustainability of smallholder farming systems in Ethiopia. In this study, soil organic carbon (SOC) and total nitrogen (N) dynamics following deforestation and subsequent cultivation were evaluated using natural abundance of 13C and 15N along a farm field chronosequence cleared from tropical dry Afromontane forest in south central Ethiopia. Soil samples were collected from five closely located farm fields cultivated for 7, 10, 26, 34 and 53 years after clearance and from an adjacent natural forest soil. All the soils in the study were Mollic Andosols/Humic Haplustands. The [delta]13C values of the SOC of the farm fields in the 0-10 and 10-20 cm layers were significantly elevated compared to the natural forest soil. In the 0-10 cm layer, the lowest [delta]13C value of -23.17[per mille sign]±0.36 was recorded from the natural forest soil and the highest value of -15.7[per mille sign]±1.50 from the 53-year-old farm field. Fractionation of the SOC of the bulk soil based on the [delta]13C values showed that in the 0-10 cm layer the SOC of the forest origin declined by 74.6%, which is equivalent to 54.1 Mg C ha-1 or 740 kg ha-1 year-1, where as SOC input from the agricultural crops was low (240 kg ha-1 year-1). However, part of the SOC of the forest origin lost from the surface 0-10 cm soil layer was translocated to the 10-20 cm layer. The SOC derived natural forest approached steady state around 30 years after cultivation while the SOC derived from agricultural crops reached steady state already after 10 years. The results show that the remaining forest derived SOC is recalcitrant while the SOC derived from agricultural crops has a relatively short mean residence time. The soils of the farm fields also showed increasing [delta]15N values indicating a loss of N from the system. The increasing [delta]15N values were consistent with the loss of total N along the chronosequence. A continued loss of N combined with insufficient input of fertilizer will result in a decreased productivity of the studied farming systems.},
Doi = {DOI: 10.1016/j.agee.2005.02.015},
File = {LemenihEtAl2005.pdf:Agriculture Ecosystems and Environment/LemenihEtAl2005.pdf:PDF},
ISSN = {0167-8809},
Keywords = {13C},
Url = {http://www.sciencedirect.com/science/article/B6T3Y-4FRB7WP-1/2/77d3f4c66b57cc1da3698d5ea5662a3f}
}
@Manual{LemoineEtAl1998,
Title = {The Development of the Joint NASA GSFC and NIMA Geopotential Model EGM96},
Address = {Greenbelt},
Author = {F. G. Lemoine and S. C. Kenyon and J. K. Factor and R.G. Trimmer and N. K. Pavlis and D. S. Chinn and C. M. Cox and S. M. Klosko and S. B. Luthcke and M. H. Torrence and Y. M. Wang and R. G. Williamson and E. C. Pavlis and R. H. Rapp and T. R. Olson},
Publisher = {NASA Goddard Space Flight Center},
Year = {1998},
Url = {http://cddis.nasa.gov/926/egm96/egm96.html}
}
@Book{LemosEtAl1982,
Title = {Manual de descrição e coleta de solos no campo},
Author = {Lemos, R. C. and Santos, R. D.},
Pages = {46},
Publisher = {Sociedade Brasileira de Ciência do Solo},
Year = {1982},
Edition = {2},
Owner = {alessandro},
Timestamp = {12.02.2014}
}
@Article{Lenth2001,
Title = {Some practical guidelines for effective sample size determination},
Author = {Lenth, Russell V},
Journal = {The American Statistician},
Pages = {187-193},
Volume = {55},
Year = {2001},
Number = {3},
Abstract = {Sample size determination is often an important step in planning a statistical study-and it is usually a difficult one. Among the important hurdles to be surpassed, one must obtain an estimate of one or more error variances and specify an effect size of importance. There is the temptation to take some shortcuts. This article offers some suggestions for successful and meaningful sample size determination. Also discussed is the possibility that sample size may not be the main issue, that the real goal is to design a high-quality study. Finally, criticism is made of some ill-advised shortcuts relating to power and sample size.},
Doi = {10.1198/000313001317098149},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1198/000313001317098149},
File = {Lenth2001.pdf:The American Statistician/Lenth2001.pdf:PDF},
Url = {http://www.tandfonline.com/doi/abs/10.1198/000313001317098149}
}
@Book{LeongEtAl2006,
Title = {The psychology research handbook - a guide for graduate students and research assistants},
Address = {Thousand Oaks},
Author = {Frederick T. L. Leong and James T. Austin},
Pages = {536},
Publisher = {SAGE Publications},
Year = {2006},
Edition = {2},
File = {LeongEtAl2006.pdf:LeongEtAl2006.pdf:PDF},
Keywords = {redemds; pca; kmo; msa},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.04}
}
@Article{Lesch2005,
Title = {Sensor-directed response surface sampling designs for characterizing spatial variation in soil properties},
Author = {Lesch, S.M.},
Journal = {Computers and Electronics in Agriculture},
Pages = {153–179},
Volume = {46},
Year = {2005},
Month = {Mar},
Number = {1-3},
Doi = {10.1016/j.compag.2004.11.004},
File = {Lesch2005.pdf:Lesch2005.pdf:PDF},
ISSN = {0168-1699},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{LeschEtAl2008,
Title = {Prediction of spatial soil property information from ancillary sensor data using ordinary linear regression: model derivations, residual assumptions and model validation tests},
Author = {S.M. Lesch and D.L. Corwin},
Journal = {Geoderma},
Pages = {130-140},
Volume = {148},
Year = {2008},
Abstract = {Geospatial measurements of ancillary sensor data, such as bulk soil electrical conductivity or remotely sensed imagery data, are commonly used to characterize spatial variation in soil or crop properties. Geostatistical techniques like kriging with external drift or regression kriging are often used to calibrate geospatial sensor data to specific soil or crop properties. More traditional statistical methods such as ordinary linear regression models are also commonly used. Unfortunately, some soil scientists see these as competing and unrelated modeling approaches and are unaware of their relationship. In this article we review the connection between the ordinary linear regression model and the more comprehensive geostatistical mixed linear model and describe when and under what conditions ordinary linear regression models represent valid spatial prediction models. The formulas for the ordinary linear regression model parameter estimates and best linear unbiased predictions are derived from the geostatistical mixed linear model under two different residual error assumptions; i.e., strictly uncorrelated (SU) residuals and effectively uncorrelated (EU) residuals. The theoretically optimal (best linear unbiased) and computable (linear unbiased) predictions and variance estimates derived under the EU error assumption are examined in detail. Statistical tests for detecting spatial correlation in LR model residuals are also reviewed, in addition to three LR model validation tests derived from classical linear modeling theory. Two case studies are presented that highlight and demonstrate the various parameter estimation, response variable prediction and model validation techniques discussed in this article.},
Doi = {10.1016/j.geoderma.2008.09.014},
File = {:Geoderma/Lesch & Corwin_Geoderma_2008.pdf:PDF},
Keywords = {Linear models, Geostatistics, BLU estimation, BLU prediction, Soil salinity; REML;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{LeschEtAl1995,
Title = {Spatial prediction of soil salinity using electromagnetic induction techniques: 2. {A}n efficient spatial sampling algorithm suitable for multiple linear regression model identification and estimation},
Author = {Lesch, Scott M. and Strauss, David J. and Rhoades, James D.},
Journal = {Water Resources Research},
Pages = {387-398},
Volume = {31},
Year = {1995},
Month = {Feb},
Number = {2},
Doi = {10.1029/94wr02180},
File = {LeschEtAl1995.pdf:LeschEtAl1995.pdf:PDF},
ISSN = {0043-1397},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{LeschEtAl1995a,
Title = {Spatial prediction of soil salinity using electromagnetic induction techniques: 1. {S}tatistical prediction models: a comparison of multiple linear regression and cokriging},
Author = {Lesch, Scott M. and Strauss, David J. and Rhoades, James D.},
Journal = {Water Resources Research},
Pages = {373-386},
Volume = {31},
Year = {1995},
Month = {Feb},
Number = {2},
Doi = {10.1029/94wr02179},
File = {LeschEtAl1995a.pdf:LeschEtAl1995a.pdf:PDF},
ISSN = {0043-1397},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{LesschenEtAl2007,
Title = {A spatially explicit methodology to quantify soil nutrient balances and their uncertainties at the national level},
Author = {Lesschen, J.P. and Stoorvogel, J.J. and Smaling, E.M.A. and Heuvelink, G.B.M. and Veldkamp, A.},
Journal = {Nutrient Cycling in Agroecosystems},
Pages = {111-131},
Volume = {78},
Year = {2007},
Abstract = {A soil nutrient balance is a commonly used indicator to assess changes in soil fertility. In this paper, an earlier developed methodology by Stoorvogel and Smaling to assess the soil nutrient balance is given a major overhaul, based on growing insights and advances in data availability and modelling. The soil nutrient balance is treated as the net balance of five inflows (mineral fertilizer, organic inputs, atmospheric deposition, nitrogen fixation and sedimentation) and five outflows (crop products, crop residues, leaching, gaseous losses and erosion). This study aims to improve the existing methodology by making it spatially explicit, improving various transfer functions, and by modelling explicitly the uncertainties in the estimations. Spatially explicit modelling has become possible through a novel methodology to create a simulated land use map on the basis of the principles of traditional qualitative land evaluation. New literature data on the various inputs and outputs allowed improvement of the estimations of deposition, sedimentation, leaching, and erosion. Moreover, the uncertainty of the calculated soil nutrient balances was assessed. To illustrate the improved methodology, we applied it to Burkina Faso and revealed that nutrient depletion is occurring throughout the country at rates of -20+/-15kgNha-1 , -3.7+/-2.9kgPha-1 and -15+/-12kgKha-1 . The resulting spatial soil nutrient balances at the national level can constitute the basis for targeting soil fertility policies at lower levels.},
Doi = {10.1007/s10705-006-9078-y},
File = {LesschenEtAl2007.pdf:LesschenEtAl2007.pdf:PDF},
ISSN = {1385-1314},
Issue = {2},
Keywords = {Land use; Soil fertility; Soil nutrient balance; Spatially explicit; Uncertainty analysis; redemds},
Language = {English},
Publisher = {Kluwer Academic Publishers}
}
@Article{Letey1985,
Title = {Relationship between soil physical properties and crop production},
Author = {J Letey},
Journal = {Advances in Soil Science},
Pages = {277-294},
Volume = {1},
Year = {1985},
File = {Letey1985.pdf:Advances in Soil Science/Letey1985.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.28},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVYzM4NTVmMmUtODg4NS00YWVjLTk1ZDMtY2M1Zjc1ZDgyNWM5&hl=en}
}
@Article{LetonEtAl2004,
Title = {Landfill operations in the Niger delta region of Nigeria},
Author = {T.G. Leton and Olujide Omotosho},
Journal = {Engineering Geology},
Pages = {171-177},
Volume = {73},
Year = {2004},
Doi = {10.1016/j.enggeo.2003.12.006},
File = {:Engineering Geology/Leton & Omotosho_Eng Geol_2004.pdf:PDF},
Keywords = {Solid wastes; Landfill; Permeability or hydraulic conductivity; Deltaic lateritic soils; Chicoco; Backswamps},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{LettensEtAl2005,
Title = {Stocks and fluxes of soil organic carbon for landscape units in Belgium derived from heterogeneous data sets for 1990 and 2000},
Author = {Suzanna Lettens and Jos van Orshoven and Bas van Wesemael and Bruno de Vos and Bart Muys},
Journal = {Geoderma},
Pages = {11-23},
Volume = {127},
Year = {2005},
Abstract = {The global carbon cycle has an important influence on global change. Soil organic carbon (SOC), the largest component of the terrestrial carbon pool, plays a vital role in the terrestrial carbon cycle and therefore knowledge of soil organic carbon pools and fluxes is required. This paper assesses typical values and measures of variation for soil organic carbon contents of soil-land use combinations in Belgium, further termed landscape units (LSU). Data from several heterogeneous data sets collected around the years 1990 and 2000 are used. Their heterogeneity is related to the purpose for which the soil carbon data were collected, the measurement technique, the nature and total depth of the sampled layers and the level of spatial aggregation with which the data were made available. In order to make integrated use of the data and present a spatial and temporal uncertainty assessment of the SOC contents of LSU, we exploit all available information on variability using simple statistical rules. Two thirds of the LSU under arable or grassland have lost SOC between 1990 and 2000 for the upper 20 cm. Approximately one third of these LSU show significantly decreased SOC stocks. The decreases are more pronounced in northern Belgium (region of Flanders), which is possibly due to specific manure regulations. The average SOC content of cropland in the upper 100 cm decreased from 8.8 kg C m2 in 1990 to 8.4 kg C m2 in 2000. A comparable decrease is observed under grassland, namely from 13.9 to 13.0 kg C m2. For soils, the highest SOC losses occur in the sandy soil associations of northern Belgium. LSU under forest could only be assessed for the year 2000. Forest soils store on average between 14.8 and 15.5 kg C m2 in the upper 100 cm of mineral soil, depending on forest type. These values are comparable to grassland but significantly higher than cropland.},
Doi = {10.1016/j.geoderma.2004.11.001},
File = {:Geoderma/Lettens et al_Geoderma_2005.pdf:PDF},
Keywords = {Soil organic carbon; Inventory; Heterogeneous data sets; Uncertainty; Stocks; Change},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{LeviEtAl2014,
Title = {Covariate selection with iterative principal component analysis for predicting physical soil properties},
Author = {Levi, Matthew R. and Rasmussen, Craig},
Journal = {Geoderma},
Pages = {46-57},
Volume = {219-220},
Year = {2014},
Month = {May},
Doi = {10.1016/j.geoderma.2013.12.013},
File = {LeviEtAl2014.pdf:LeviEtAl2014.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{Levin1992,
Title = {The problem of pattern and scale in ecology},
Author = {Levin, Simon A.},
Journal = {Ecology},
Pages = {1943-1967},
Volume = {73},
Year = {1992},
Month = {Dec},
Number = {6},
Doi = {10.2307/1941447},
File = {Levin1992.pdf:Levin1992.pdf:PDF},
ISSN = {0012-9658},
Owner = {alessandro},
Publisher = {JSTOR},
Review = {"[...] the problem is not to choose the correct scale of description, but rather to recognize that change is taking place on many scales at the same time, and that it is the interaction among phenomena on different scales that must occupy our attention."}
}
@Article{Lewin1931,
Title = {{The conflict between Aristotelian and Galilean modes of thought in contemporary psychology}},
Author = {Kurt Lewin},
Journal = {Journal of General Psychology},
Pages = {141-177},
Volume = {5},
Year = {1931},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.15}
}
@Manual{LewinKohEtAl2012,
Title = {maptools: Tools for reading and handling spatial objects},
Author = {Nicholas J. Lewin-Koh and Roger Bivand},
Pages = {74},
Year = {2012},
Abstract = {Set of tools for manipulating and reading geographic data, in particular ESRI shapefiles; C code used from shapelib. It includes binary access to GSHHS shoreline files. The package also provides interface wrappers for exchanging spatial objects with packages such as PBSmapping, spatstat, maps, RArcInfo, Stata tmap, WinBUGS, Mondrian, and others.},
File = {LewinKohEtAl2012.pdf:LewinKohEtAl2012.pdf:PDF},
Keywords = {R project;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.24},
Url = {http://cran.r-project.org/web/packages/maptools/index.html}
}
@Article{LiEtAl2000,
Title = {Use of UV Spectroscopy To Characterize the Reaction between NOM and Free Chlorine},
Author = {Chi-Wang Li and Mark M. Benjamin and Gregory V. Korshin},
Journal = {Environmental Science and Technology},
Pages = {2570-2575},
Volume = {34},
Year = {2000},
Abstract = {Simple and reliable relationships exist between the change in UV absorbance (?A) of NOM when it is chlorinated and the formation of chlorinated byproducts. These relationships provide an approach for obtaining large amounts of data that can be used to interpret the kinetics, stoichiometry, and mechanism of the reactions. Analysis of these relationships suggests that the functional groups that are the major precursors for DBPs might be highly activated aromatic rings, as has been suggested previously, but that these groups have some fundamental differences from highly activated rings in pure compounds. The key evidence for this difference is that the UV absorbance of NOM decreases when dosed with even very low concentrations of chlorine, whereas the absorbance of pure compounds such as 3,5-DHBA and resorcinol increases. When hypochlorite species (HOCl and OCl-) are added to a solution containing NOM, between 1.6 and 4.1 Cl atoms become incorporated into NOM for each activated aromatic ring that is destroyed. The rate of Cl incorporation into organic molecules is very rapid initially and decreases steadily thereafter. Chlorine reduction on the other hand (or, equivalently, NOM oxidation) is negligible initially and then increases over time. The effect of these parallel processes is that the amount of Cl that becomes incorporated into organic molecules as a fraction of the amount of HOCl and OCl- consumed decreases from near 100% initially to near 20% over the course of the reaction. Considering that many of the carbon atoms in NOM probably do not participate in redox reactions with Cl, those that do must be oxidized quite substantially during the process, and it is likely that atoms other than C (particularly N) also provide some of the electrons to reduce Cl. Expanded use of ?A to study DBP-forming reactions is likely to lead to more insights into key aspects of the reaction mechanisms.},
Doi = {10.1021/es990899o},
File = {:Environmental Science & Technology/Li et al_Environ Sci Technol.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@InCollection{Li2008,
Title = {Multi-Scale Digital Terrain Modelling and Analysis},
Author = {Zhilin Li},
Booktitle = {Advances in Digital Terrain Analysis},
Publisher = {Springer Berlin Heidelberg},
Year = {2008},
Editor = {Zhou, Qiming and Lees, Brian and Tang, Guo-an},
Pages = {59-83},
Series = {Lecture Notes in Geoinformation and Cartography},
Doi = {10.1007/978-3-540-77800-4_4},
File = {Li2008.pdf:Li2008.pdf:PDF},
ISBN = {978-3-540-77799-1},
Keywords = {scale; multi-scale; multi-resolution; variable resolution; terrain representation; terrain analysis; scale effect; optimization; DEM;},
Owner = {alessandro},
Timestamp = {24.02.2014}
}
@Book{LiEtAl2005,
Title = {Digital terrain modeling - principles and methodology},
Address = {Boca Raton},
Author = {Zhilin Li and Qing Zhu and Christopher Gold},
Pages = {318},
Publisher = {CRC Press},
Year = {2005},
File = {LiEtAl2005.pdf:LiEtAl2005.pdf:PDF},
Keywords = {redemds; mde; uncertainty; Kriging; Interpolation; Resampling;mitas},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.02}
}
@Article{LiawEtAl2002,
Title = {Classification and regression by random{F}orest},
Author = {Andy Liaw and Matthew Wiener},
Journal = {R News},
Pages = {18-22},
Volume = {2/3},
Year = {2002},
File = {LiawEtAl2002.pdf:LiawEtAl2002.pdf:PDF},
ISSN = {1609-3631},
Url = {http://cogns.northwestern.edu/cbmg/LiawAndWiener2002.pdf}
}
@Article{LiebensEtAl2003,
Title = {Infuence of estimation procedure on soil organic carbon stock assessment in Flanders, Belgium},
Author = {J. Liebens and M. VanMolle},
Journal = {Soil Use and Management},
Pages = {364-371},
Volume = {19},
Year = {2003},
Abstract = {The purpose of the study was to determine the soil organic carbon (SOC) stock for Flanders, Belgium and to evaluate various methods for assessing SOC stock. The assessment methods ®rst determined the SOC density (C mass per unit area) for pedons in a database of soil properties, and then spatially distributed the SOC density to soil and soil/land use categories on a map. The results showed that the pedon SOC density is in¯uenced by drainage class, texture and land use/land cover. The SOC density estimation method signi®cantly in¯uences results and leads to differences of up to 6% in total estimated SOC stock for Flanders. Use of various spatial distributing methods creates differences of up to 2% in total estimated SOC stock. The largest difference in SOC stock estimate between any combination of assessment methods was 7% (125.6 Tg vs 134.9 Tg). These ®ndings emphasize the importance of complete spatial soil databases of high quality that reduce uncertainty of estimates for use in research examining the role of soils in the C cycle. The results indicate that the need for these databases is greater than the need to standardize methods to determine the spatial distribution of SOC. A map of the distribution of SOC density shows that in Flanders a large proportion of SOC is stored in sandy soils in the north of the territory},
Doi = {10.1079/SUM2003215},
Keywords = {Organic carbon, soil carbon, bulk density, GIS, Belgium},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{LiebigEtAl2004,
Title = {AEPAT: software for assessing agronomic and environmental performance of management practices in long-term agroecosystem experiments},
Author = {Liebig, M.A. and Miller, M.E. and Varvel, G.E. and Doran, J.W. and Hanson, J.D.},
Journal = {Soil Science Society of America Journal},
Pages = {109-115},
Volume = {96},
Year = {2004},
Abstract = {Approaches to assess the effects of management practices on agroecosystem functions are needed. This paper describes a computer program designed to assess the relative sustainability of management practices using agronomic and environmental data. The program, entitled AgroEcosystem Performance Assessment Tool (AEPAT), utilizes performance-based index methodology to derive a relative ranking of agroecosystem performance among management practices for functions and indicators included in the procedure. The program is organized into eight major steps: Introduction, Input Files, Assign Indicators to Functions, Describe Indicators, Assign Weights, Select Output File, Calculate Agroecosystem Performance Scores, and Save Agroecosystem Project. Help windows as well as a tutorial are provided within the program to assist users through each step. Users must keep in mind the assumptions and drawbacks inherent to performance-based indices while using AEPAT. Additionally, the program requires data on many indicators to provide useful information on agroecosystem performance. Therefore, its use is intended primarily for clientele conducting long-term agroecosystem experiments.},
File = {LiebigEtAl2004.pdf:Soil Science Society of America Journal/LiebigEtAl2004.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@Article{LiebigEtAl2001,
Title = {A simple performance-based index for assessing multiple agroecosystem functions},
Author = {Liebig, M.A. and Varvel, G. and Doran, J.},
Journal = {Agronomy Journal},
Pages = {313-318},
Volume = {93},
Year = {2001},
Abstract = {Evaluating the impact agricultural practices have on agroecosystem functions is essential to determine the sustainability of management systems. This paper presents an approach to determine the relative sustainability of agricultural practices. A simple ranking procedure using a relative scoring method is proposed to discriminate among treatments based on the status of crop and soil parameters within different agroecosystem functions. Summing scores across agroecosystem functions allows for the identification of agricultural practices that are performing optimally based on functions included in the procedure. An example, using data from a long-term cropping systems experiment in the western Corn Belt, found the indexing procedure to successfully discern differences in overall performance across four agroecosystem functions between conventional [continuous corn (Zea mays L.) cropping sequence at a fertilization rate of 180 kg N h-1] and alternative {corn?oat (Avena sativa L.) 1 clover (Trifolium pratense L.)?grain sorghum [Sorghum bicolor (L.) Moench]?soybean [Glycine max (L.) Merr.] cropping sequence at a fertilization rate of 90 kg N ha-1}management systems. The simplicity, inclusiveness, and inherent flexibility of the indexing procedure can be considered benefits and drawbacks, depending on the point of view taken. Data requirements of the approach, however, are stringent. Consequently, its most appropriate use may be with data from long-term agroecosystem experiments.},
File = {LiebigEtAl2001.pdf:Agronomy Journal/LiebigEtAl2001.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@InCollection{LiljaEtAl2006,
Title = {Developing a digital soil map for finland},
Author = {H. Lilja and R. Nevalainen},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {5},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {67 - 74, 603},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {This chapter describes our methods and experiences of making a 1:250,000 georeferenced soil databases for Finland with digital soil mapping systems. We use the following source materials: maps of quaternary deposits, geophysical low-altitude flight measurements, various GIS - materials from different sources and old soil surveys. We are aware that our pretty simplified way of digital soil mapping, mostly based on a parent material (lithogenic) approach, is vulnerable to international criticism and that is why we explain why this is possible in Finland, which consists of young soils (<12,000 years).},
Doi = {DOI: 10.1016/S0166-2481(06)31005-7},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-C/2/bb2a24ffb10a8e279125d2d71f0b7efe}
}
@Article{Lima2010,
Title = {Modelos de categorização: apresentando o modelo clássico e o modelo de protótipos},
Author = {Lima, Gercina {\^A}ngela Borém Oliveira},
Journal = {Perspectivas em Ciência da Informação},
Pages = {108-122},
Volume = {15},
Year = {2010},
Number = {2},
Doi = {10.1590/s1413-99362010000200008},
File = {Lima2010.pdf:Lima2010.pdf:PDF},
ISSN = {1413-9936},
Owner = {alessandro}
}
@Article{LimaEtAl2006,
Title = {Mineralogia e química de três solos de uma toposseqüência da bacia sedimentar do Alto Solimões, Amazônia Ocidental},
Author = {Hedinaldo Narciso Lima and Jaime Wilson Vargas De Mello and Carlos Ernesto G. R. Schaefer and João Carlos Ker and Augusto Miguel Nascimento Lima},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {59-68},
Volume = {30},
Year = {2006},
Abstract = {Pouco se conhece sobre os atributos mineralógicos e químicos dos solos da região do Alto Solimões, em comparação aos solos do Médio e Baixo Amazonas, mais estudados. No Alto Solimões, pela maior proximidade do ambiente andino, há maior possibilidade de enriquecimento dos solos. Este trabalho teve por objetivo ampliar o conhecimento dos solos dessa região por meio da caracterização de atributos mineralógicos e químicos de três solos de uma toposseqüência na região de Benjamin Constant (AM), próximo à fronteira Brasil- Peru. Tais solos situam-se das partes mais elevadas até a várzea, sendo classificados como Argissolo Amarelo Ta alumínico abrupto, Plintossolo Argilúvico alumínico abrúptico e Neossolo Flúvico Ta eutrófico. Os resultados mostram que estes solos possuem maior riqueza de nutrientes e de minerais alteráveis, com menor grau de intemperismo, em comparação aos solos mais bem drenados da parte oriental da Amazônia, derivados de sedimentos mais antigos ou de rochas cristalinas. Os baixos teores de Fe e Mn no Plintossolo em todas as frações analisadas, em comparação aos demais solos da toposseqüência, indicam o predomínio de processos de remoção nesse ambiente, enquanto, no Neossolo Flúvico, a remoção é superada pela deposição de novos sedimentos, possibilitando a ocorrência em teores elevados de Fe e Mn. Os valores de capacidade máxima de adsorção de fosfato são baixos nos horizontes superficiais, tornando-se elevados nos horizontes subsuperficiais mais ricos em argila ou com ocorrência de plintita, podendo representar, em caso de erosão, um fator limitante ao cultivo agrícola.},
Keywords = {Amazônia, Formação Solimões, capacidade de adsorção de P, plintita, solos de várzea, terra firme.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/scielo.php?pid=S0100-06832006000100007&script=sci_abstract&tlng=pt}
}
@Article{LimaEtAl2007,
Title = {Desenvolvimento e verificação de métodos indiretos para a estimativa da erodibilidade dos solos da bacia experimental do alto Rio Jardim ? DF},
Author = {Jorge Enoch Furquim Werneck Lima and Euzebio Medrado Da Silva and Nabil Joseph Eid and Éder De Souza Martins and Sergio Koide and Adriana Reatto},
Journal = {Revista Brasileira de Geomorfologia},
Pages = {23-26},
Volume = {8},
Year = {2007},
Abstract = {A dificuldade na determinação direta da erodibilidade (fator K) exige o desenvolvimento de métodos para estimá-la a partir de outras características dos solos de mais fácil obtenção. Entretanto, ainda não existe um método indireto considerado o melhor para a estimativa da erodibilidade do solo. O objetivo deste trabalho foi definir a melhor abordagem para se estimar a erodibilidade dos solos da bacia do alto rio Jardim - DF. Foram avaliados quatro métodos indiretos de estimativa da erodibilidade, os quais tiveram seus resultados discutidos e comparados com dados medidos. Os resultados do teste de comparação de médias t- Student indicaram que todos os métodos diferem significativamente dos dados medidos a 5% de significância. Os métodos de Denardin (1990), van der Knijff et al. (1999) e Stone & Hillborn (2002), em média, superestimaram os valores medidos, enquanto o nomograma de Wischmeier et al. (1971) os subestimaram. De acordo com os resultados obtidos, a adoção de um valor de K por classe de solo, como normalmente utilizado, não é recomendada, pois implica em erros consideráveis. Optou-se pelo uso do método de Denardin (1990), pois foi aquele que mais se aproximou do valor medido. Com base no método de Denardin (1990) e nos resultados de sua aplicação com os dados levantados na bacia de estudo, desenvolveu-se um novo método indireto de estimativa do valor de K, baseado unicamente no teor de argila da amostra. O método desenvolvido foi aplicado à bacia do rio Jardim de forma espacialmente interpolada e os resultados obtidos foram considerados melhores do que aqueles gerados com a adoção de um valor médio de K por classe de solo.},
Keywords = {erosão, perda de solos, fator K, EUPS, bacia experimental.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.ugb.org.br/home/artigos/RBG_8_2/RGB_SF03.pdf}
}
@Article{Lima2005,
Title = {O solo no ensino de ciências no nível fundamental},
Author = {Marcelo Ricardo Lima},
Journal = {Ciência e Educação},
Pages = {383-394},
Volume = {11},
Year = {2005},
File = {:Ciência e Educação/Lima_Cien Educ_2005.pdf:PDF},
Keywords = {ensino de solos. Ensino Fundamental. ensino de Ciências.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.scientificcircle.com/pt/99529/solo-ensino-ciencias-nivel-fundamental/}
}
@Article{LinEtAl2002,
Title = {Clay mineralogy of spodosols with high clay contents in the subalpine forests of Taiwan},
Author = {Ching-Wei Lin and Zeng-Yei Hseu and Zueng-Sang Chen},
Journal = {Clays and Clay Minerals},
Pages = {726-735},
Volume = {50},
Year = {2002},
Abstract = {Three Ultic Haplorthods with significant illuviation of clay and spodic materials in the subalpine forests located in the Alishan area of central Taiwan were selected to identify the clay mineral compositions by X-ray diffraction (XRD) and to explain the transformation of the clay minerals. The three pedons are dominated by vermiculite and vermiculite-illite interstratified minerals, and they have minor kaolinite, quartz and gibbsite. No hydroxy interlayered vermiculite (HIV) was found in the E horizon of the three pedons because the forest soils are very acidic and have very low Al contents. The presence of HIV in the spodic (Bhs) and argillic horizons (Bt) of the three pedons was associated with greater free Fe and Al contents (Fe d and Al d ), more favorable pH ranges, and coatings of organo-metallic complexes which prevented continuous weathering. The specific pedogenic process, clay illuviation and podzolization occurred sequentially in the Alishan area, and induced the unusual clay mineral distribution and transformation. The largest amounts of illite are in the C horizon and the amounts of vermiculite increased with decreasing soil depths. A reverse distribution between illite and vermiculite through the soil profile was observed. Illite was transformed to vermiculite due to the strong weathering environment associated with extremely low exchangeable K contents. The weathering sequence of clay minerals of Spodosols with fine textures in the study area is proposed as: illite ? vermiculite (or interstratified vermiculite-illite minerals) ? HIV and vermiculite.},
File = {:Clays and Clay Minerals/Lin et al_Clay Clay Miner_2002.pdf:PDF},
Keywords = {Hydroxy Interlayer ed Vermiculite (HIV), Podzolizat ion, Spodosols, Weathering Sequence, X-ray Diffraction (XRD).},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.rockmagnetism.ru/articles/321.pdf}
}
@Article{Lin1989,
Title = {A Concordance Correlation Coefficient to Evaluate Reproducibility},
Author = {Lin, Lawrence I-Kuei},
Journal = {Biometrics},
Pages = {255},
Volume = {45},
Year = {1989},
Month = {Mar},
Number = {1},
Doi = {10.2307/2532051},
File = {Lin1989.pdf:Lin1989.pdf:PDF},
ISSN = {0006-341X},
Keywords = {Coefficient of determination; DSM; pedometrics;},
Publisher = {JSTOR}
}
@InCollection{Lindsay2009,
Title = {Geomorphometry in TAS GIS},
Author = {J.B. Lindsay},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {16},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {367 - 386},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00016-0},
File = {Lindsay2009.pdf:Lindsay2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {what is TAS GIS?},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-V/2/1757b3eac8f6b4f3035f62186e37833b}
}
@Article{Lindsay1995,
Title = {Reconsidering the status of tests of significance: An alternative criterion of adequacy},
Author = {R.Murray Lindsay},
Journal = {Accounting, Organizations and Society},
Pages = {35 - 53},
Volume = {20},
Year = {1995},
Number = {1},
Abstract = {Tests of significance are regarded as essential for the establishment of facts. This paper questions this, and an alternative approach is presented which centres on replication. Replication provides the crucial test of the reliability and validity of facts, hypotheses and theories. It leads, when successful, to generalizable and predictable results. The new criterion is based on obtaining ?significant sameness? in related studies, in contrast to obtaining a significant difference in a single isolated study. This means determining whether the same model holds over many sets of data, and not what model fits best for one particular data set.},
Doi = {10.1016/0361-3682(93)E0004-Z},
File = {Lindsay1995.pdf:Lindsay1995.pdf:PDF},
ISSN = {0361-3682},
Url = {http://www.sciencedirect.com/science/article/pii/0361368293E0004Z}
}
@Article{LloydEtAl2009,
Title = {Self organising maps for variable selection: application to human saliva analysed by nuclear magnetic resonance spectroscopy to investigate the effect of an oral healthcare product},
Author = {Gavin R. Lloyd and Kanet Wongravee and Christopher J.L. Silwood and Martin Grootveld and Richard G. Brereton},
Journal = {Chemometrics and Intelligent Laboratory Systems},
Pages = {149 - 161},
Volume = {98},
Year = {2009},
Number = {2},
Abstract = {SOMs (Self Organising Maps) are derived from the machine learning literature and serve as a valuable method for representing data. In this paper, the use of SOMs as a technique for determining the most signi ? cant variables (or markers) in a dataset is described. The method is applied to the NMR spectra of 96 human saliva samples, half of which have been treated with an oral rinse formulation and half of which are controls, and 49 variables consisting of bucketed intensities. In addition, three simulations, two of which consist of the same number of samples and variables as the experimental dataset and a third that contains a much larger number of variables, are described. Two of the simulations contain known discriminatory variables, and the remaining is treated as a null dataset without any speci ? c discriminatory variables added. The described SOM method is contrasted to Partial Least Squares Discriminant Analysis, and a list of the markers determined to be most signi ? cant using both approaches was obtained and the differences arising are discussed. A SOM Discrimination Index (SOMDI) is de ? ned, whose magnitude relates to how strongly a variable is considered to be a discriminator. In order to ensure that the model is stable and not dependent on the random starting point of the SOM, one hundred iterations were performed and variables that were consistently of high rank were selected. A variety of approaches for data representation are illustrated, and the main theoretical principles of employing SOMs for determining which variables are most signi ? cant are outlined. Software used in this paper was written in-house, allowing greater ? exibility over existing packages, and tailored for the speci ? c application in hand.},
Doi = {DOI: 10.1016/j.chemolab.2009.06.002},
File = {LloydEtAl2009.pdf:Chemometrics and Intelligent Laboratory Systems/LloydEtAl2009.pdf:PDF},
ISSN = {0169-7439},
Keywords = {Self Organising Maps, Pattern recognition, Variable selection, Saliva, Nuclear magnetic resonance spectroscopy, Metabolic pro?ling},
Url = {http://www.sciencedirect.com/science/article/B6TFP-4WK485J-1/2/558669229466b7e110a4cc7c640ad9db}
}
@Article{Loftus1991,
Title = {On the tyranny of hypothesis testing in the social sciences},
Author = {Geoffrey R. Loftus},
Year = {1991},
File = {Loftus1991.pdf:Loftus1991.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.22}
}
@Article{LoehrEtAl2010,
Title = {Iron occurrence in soils and sediments of a coastal catchment: A multivariate approach using self organising maps},
Author = {S.C. Löhr and M. Grigorescu and J.H. Hodgkinson and M.E. Cox and S.J. Fraser},
Journal = {Geoderma},
Pages = {253 - 266},
Volume = {156},
Year = {2010},
Number = {3-4},
Abstract = {The processes controlling the distribution and phases of Fe in soils and sediments of a forested coastal catchment in southeast Queensland, Australia are identi ? ed. The physicochemical attributes of 120 spatially distributed soil and sediment samples, along with geomorphic, geological and land-use characteristics were analysed using Kohonen's self organising maps (SOM) methodology. The SOM-based data analysis approach permits the analysis of complex multivariate datasets that are not well suited to traditional statistical methods. Across the catchment readily extractable Fe concentrations are low overall, despite a high proportion of Fe- concretions in many soils. However, two processes associated with elevated Fe occurrences are identi ? ed. Firstly, seasonal water-logging leads to the accumulation of Fe in clay-rich soils on lower slope positions. Mottling and the presence of lepidocrocite indicate cyclical redox conditions. Secondly, a high proportion of total readily extractable Fe is present in organically complexed form in the stream sediments. It is suggested that an accumulation of Fe-rich sediment and organic detritus in streams permits the release of Fe under anoxic conditions, which is then bound by organic material. Contrary to the ? ndings of previous studies, vegetation type does not affect Fe; there is no major difference between the concentrations of Fe of soils under pine plantation and native vegetation. Landform, however, does play an important role. Local depressions on gentle-sloped, low-lying terrain and associated with high topographic wetness indices were found to enhance seasonal redox processes. The groupings obtained from the SOM analyses were internally consistent and can be regarded as ?process groups?. The results show that SOM is a tool that can aid in the interpretation of complex datasets and help identify geochemical processes operating on a catchment scale.},
Doi = {DOI: 10.1016/j.geoderma.2010.02.025},
File = {:Geoderma/Löhr et al_Geoderma_2010.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Iron geochemistry, Multivariate data analysis, Self organising maps, Pine plantation, Water-logging, Organic complexation},
Url = {http://www.sciencedirect.com/science/article/B6V67-4YP16YP-1/2/a32d2c48ceaf60f0ddf1484cdaca642b}
}
@Book{Lohr1999,
Title = {Sampling: design and analyis},
Author = {S. L. Lohr},
Publisher = {Pacific Grove, USA: Duxbury Press},
Year = {1999},
File = {Lohr1999.pdf:Book/Lohr1999.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.30}
}
@Article{LonghiEtAl2000,
Title = {Aspectos fitossociológicos de fragmento de floresta estacional decidual, Santa Maria, RS},
Author = {Solon Jonas Longhi and Maristela Machado Araujo and Mônica Brucker Kelling and Juarez Martins Hoppe and Ivanor Müller and Geedre Adriano Borsoi},
Journal = {Ciência Florestal},
Pages = {59-74},
Volume = {10},
Year = {2000},
Abstract = {Foi realizado estudo da vegetação em fragmento de floresta estacional decidual em processo de sucessão, em área da Associação Tabor (29 o 43?S; 53 o 47?W), no município de Santa Maria (RS), Brasil. Utilizaram-se dezesseis unidades amostrais de 10 x 20 m distribuídas de forma sistemática para avaliação (medição e identificação) dos indivíduos com Circunferência à Altura do Peito (CAP) igual ou maior de 30 cm e subunidades circulares com raios de 1,78 m para identificação e contagem da regeneração (indivíduos menores de 30 cm). Observou-se a ocorrência de 64 espécies arbóreas e arbustivas de 54 gêneros e 31 famílias. As espécies com maior valor de importância foram Myrocarpus frondosus, Cupania vernalis, Ocotea puberula, Patagonula americana, Casearia sylvestris, Luehea divaricata, Enterolobium contortisiliquum e Helietta apiculata. Na regeneração, as espécies com maior densidade de indivíduos foram Trichilia elegans, Nectandra megapotamica, Actinostemon concolor, Piper gaudichaudianum, Cupania vernalis, Hybanthus bigibbosus, Aiouea saligna e Parapiptadenia rigida. Constatou-se o contínuo processo de sucessão por meio da substituição de espécies nos estratos da floresta e algumas bem-representadas desde a regeneração até o estrato superior.},
File = {:Ciência Florestal/Longhi et al_Cienc Florest_2000.pdf:PDF},
Keywords = {fitossociologia, espécies florestais, sucessão, floresta estacional decidual.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://cascavel.ufsm.br/revistas/ojs-2.2.2/index.php/cienciaflorestal/article/view/471/367}
}
@Article{LonghiEtAl1999,
Title = {Composição florística e estrutura da comunidade arbórea de um fragmento florestal no município de Santa Maria-Brasil},
Author = {Solon Jonas Longhi and André R.T. Nascimento and Frederico Dimas Fleig and Jocelaine Bolzan Della-Flora and Rosane Amaral Freitas and Leandro W. Charão},
Journal = {Ciência Florestal},
Pages = {115-133},
Volume = {9},
Year = {1999},
Abstract = {O presente estudo objetiva descrever a composição florística e a estrutura de uma comunidade arbórea em um fragmento florestal e discutir algumas características dendrométricas das espécies componentes do mesmo. Esta comunidade enquadra-se na região da Floresta Estacional Decidual, estando localizada no Município de Santa Maria, na região da Depressão Central do Estado do RS. Foram locadas, de maneira sistemática, 18 parcelas de 200 m² no interior do fragmento. Na área amostrada foram mensuradas 56 espécies vegetais com CAP ? 15 cm, distribuídas em 46 gêneros e 28 famílias botânicas. As famílias Rutaceae, Rubiaceae, Flacourtiaceae e Myrsinaceae apresentaram as maiores riquezas em relação ao número de espécies e indivíduos. Helietta apiculata, Casearia sylvestris, Faramea marginata, Myrsine umbellata, Chomelia obtusa e Cabralea canjerana foram as espécies mais importantes da comunidade vegetal estudada. As alturas variaram de 3,5 m, para árvores do estrato inferior até 22 m, para árvores emergentes. A maior parte das árvores vegetam em baixa competição, pois apresentam relação h/d igual ou inferior a 1. Pela distribuição das freqüências das circunferências, verifica-se que 42,25% dos indivíduos tem CAP entre 15 e 25 centímetros e que somente 4,25% tem CAP superior a 65 cm.},
File = {:Ciência Florestal/Longhi et al_Cienc Florest_1999.pdf:PDF},
Keywords = {Composição Florística, Dendrometria, Floresta Estacional Decidual.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://cascavel.ufsm.br/revistas/ojs-2.2.2/index.php/cienciaflorestal/article/view/371}
}
@Article{Lopez-GranadosEtAl2005,
Title = {Using geostatistical and remote sensing approaches for mapping soil properties},
Author = {F. López-Granados and M. Jurado-Expósito and J.M. Peña-Barragán and L. García-Torres},
Journal = {European Journal of Agronomy},
Pages = {279-289},
Volume = {23},
Year = {2005},
Abstract = {This paper attempts to compare various prediction methods for mapping soil properties (texture, organic matter (OM), pH, phosphorus and potassium) for precision farming approaches by incorporating secondary spatial information into the mapping. The primary information (or primary attribute) was obtained from an intensive grid soil sampling and the secondary spatial information from digital (or spectral) data from an aerial colour photograph of bare soil. The prediction methods were statistical (linear regression between soil properties and digital values) and geostatistical algorithms (ordinary kriging, ordinary kriging plus regression and kriging with varying local means). Mean square error (MSE) was used to evaluate the performance of the map prediction quality. The best prediction method for mapping organic matter, pH and potassium was kriging with varying local means in combination with the spectral data from the blue waveband with the smallest MSE indicating the highest precision. Maps from these kriged estimates showed that a combination of geostatistical techniques and digital data from aerial photograph could improve the prediction quality of soil management zones, which is the first step for site-specific soil management.},
Doi = {10.1016/j.eja.2004.12.003},
File = {:European Journal of Agronomy/López-Granados et al_Eur J Agron_2005.pdf:PDF},
Keywords = {Bare soil aerial colour photograph; Precision farming; Kriging},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{Lopez-UlloaEtAl2005,
Title = {Soil carbon stabilization in converted tropical pastures and forests depends on soil type},
Author = {M. López-Ulloa and E. Veldkamp and G. H. J.},
Journal = {Soil Science Society of America Journal},
Pages = {1110-1117},
Volume = {69},
Year = {2005},
Abstract = {The influence of soil C stabilization mechanisms is normally not considered in studies on the effects of land use changes. Instead, observed changes are typically explained by differences in litter input. As a result, it is not well known if and how quickly newly incorporated C is stabilized in soils. Our goals were to find out how much soil C was stabilized in two different soil orders (Andisols and Inceptisols) and which are the responsible mechanisms of C stabilization. Furthermore, we looked for evidence that newly incorporated soil C was stabilized in these contrasting soil orders. We selected 25 sites in northwestern Ecuador with two paired plots per site: one plot where pasture was converted to secondary forest and one plot where forest was converted to pasture. In all the plots, soil C content, stocks, and stable isotope (?13C) signal were measured in the surface soil. The ?13C values were used to estimate the stocks of soil C derived from forest (Cdf) and from pasture (Cdp) in all plots. We calculated correlations between these stocks and soil and environmental characteristics to identify mechanisms of soil C stabilization. Our results show that long-term stabilization in Andisols was through formation of metal?humus complexes and allophane, while in Inceptisols long-term stabilization was through sorption to clay minerals. We found evidence that recently incorporated C was not stabilized in Andisols, while in Inceptisols, poorly crystalline (hydr-) oxides seemed to have stabilized part of this soil C. We conclude that unless soil C stabilizing mechanisms are explicitly considered, we will not be able to predict the direction and magnitude of changes in soil C stocks following land use changes in the tropics.},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{LorenzEtAl2006,
Title = {Soil organic matter in urban soils: Estimation of elemental carbon by thermal oxidation and characterization of organic matter by solid-state 13 C nuclear magnetic resonance (NMR) spectroscopy},
Author = {K. Lorenz and C.M. Preston and E. Kandeler},
Journal = {Geoderma},
Pages = {312-323},
Volume = {130},
Year = {2006},
Abstract = {To reduce soil destruction by urban sprawl, land use planning has to promote the use of soils within cities. As soil functions are now protected by law in Germany, urban soil quality has to be evaluated before soil management. We studied contributions from elemental carbon (EC) and soil organic matter (SOM) quality in topsoil horizons at seven sites in Stuttgart, Germany, differing in impurities by technogenic substrates. The most disturbed site was found at a disused railway area while high-density areas, public parks and garden areas showed varying degrees of disturbance by anthropogenic activities. For most soils, compounds derived from plant litter dominated organic matter (OM) quality characterized by nuclear magnetic resonance (NMR) spectroscopy. Although high contents of EC (up to 70% of soil organic carbon) were indicated by thermal oxidation, this was not confirmed by aromatic C intensities in NMR spectra. Only for the highly aromatic railway soil were results for elemental carbon by thermal oxidation and NMR similar. As other technogenic substrates beside EC like plastics may also contribute in the long-term to OM in urban soils, new analytical techniques are therefore required. This knowledge will promote the evaluation of urban soil properties and their sustainable use.},
Doi = {10.1016/j.geoderma.2005.02.004},
File = {:Geoderma/Lorenz et al_Geoderma_2006.pdf:PDF},
Keywords = {Urban soils; Thermal oxidation; Elemental carbon; Solid-state 13 C NMR spectroscopy},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Losche1970,
Title = {Soils of steeply sloping landscapes in the southern appalachian mountains},
Author = {Losche, C K Et Al},
Journal = {Soil Science Society of America Journal},
Pages = {473-478},
Volume = {34},
Year = {1970},
Keywords = {Aspect; Northerness;},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
@Phdthesis{Loss2011,
Title = {Dinâmica da matéria orgânica, fertilidade e agregação do solo em áreas sob diferentes sistemas de uso no Cerrado goiano},
Author = {Loss, Arcângelo},
Year = {2011},
File = {Loss2011.pdf:Loss2011.pdf:PDF},
Keywords = {ufrrj; latex;},
Owner = {alessandro},
Timestamp = {04.11.2013}
}
@Article{Lowry1992,
Title = {Use and misuse of multiple comparisons in animal experiment},
Author = {S. R. Lowry},
Journal = {Journal of Animal Science},
Pages = {1971-1977},
Volume = {70},
Year = {1992},
Abstract = {The objective of many animal ex- periments is to detect meaningful relationships among treatments and associated responses. Types of comparisons of means include pairwise multiple comparisons, planned orthogonal or nonorthogonal contrasts, and orthogonal poly- nomials.Some procedures are appropriate only for specific types of treatment designs and specific types of objectives. Pairwise, multiplecomparisons are appropriate only for comparing unstructured, qualitative treatments. Planned comparisons par- tition the overall set of treatment effects into independent or nonindependent subsets, with special application to factorials. Orthogonal polyno- mial (regression)procedures assess relationships between quantitative treatments and response when a full range of responses or an optimal dose is ofinterest. Recommendations for appropriate use of each mean comparison procedure are illustrated using data from three JournaE of Ani- malScience articles. Also mentioned are a number of computer graphics packages that provide crea- tive ways to display biological relationships andcan be linked to statistical packages for input and to word processors or 35-mm cameras for output.},
File = {Lowry1992.pdf:Lowry1992.pdf:PDF},
Keywords = {Experimental Design, Multiple Comparison Tests},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.14},
Url = {http://www.ncbi.nlm.nih.gov/pubmed/1634420}
}
@Manual{Lucas2004,
Title = {Ortho-rectification and precision terrain correction with OSSIM},
Author = {Mark R Lucas},
Pages = {7},
Publisher = {Intelligence Data Systems Inc.},
Year = {2004},
File = {Lucas2004.pdf:Lucas2004.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.11},
Url = {http://download.osgeo.org/ossim/docs/pdfs/OSSIMOrthos.pdf}
}
@Article{Lum2012,
Title = {Bayesian variable selection for spatially dependent generalized linear models},
Author = {Lum, Kristian},
Journal = {arXiv preprint arXiv:1209.0661},
Year = {2012},
Abstract = {Despite the abundance of methods for variable selection and accommodating spatial structure in regression models, there is little precedent for incorporating spatial dependence in covariate inclusion probabilities for regionally varying regression models. The lone existing approach is limited by difficult computation and the requirement that the spatial dependence be represented on a lattice, making this method inappropriate for areal models with irregular structures that often arise in ecology, epidemiology, and the social sciences. Here we present a novel method for spatial variable selection in areal generalized linear models that can accommodate arbitrary spatial structures and works with a broad subset of GLM likelihoods. The method uses a latent probit model with a spatial dependence structure where the binary response is taken as a covariate inclusion indicator for area-specific GLMs. The covariate inclusion indicators arise via thresholding of latent standard normals on which we place a conditionally autoregressive prior. We propose an efficient MCMC algorithm for computation that is entirely conjugate in any model with a conditionally Gaussian representation of the likelihood, thereby encompassing logistic, probit, multinomial probit and logit, Gaussian, and negative binomial regressions through the use of existing data augmentation methods. We demonstrate superior parameter recovery and prediction in simulation studies as well as in applications to geographic voting patterns and population estimation. Though the method is very broadly applicable, we note in particular that prior to this work, spatial population estimation/capture-recapture models allowing for varying list dependence structures has not been possible.}
}
@Manual{Lumley2009,
Title = {\texttt{leaps}: regression subset selection},
Address = {Viena},
Author = {Thomas Lumley},
Pages = {8},
Publisher = {R Project},
Year = {2009},
Abstract = {Regression subset selection including exhaustive search},
File = {Lumley2009.pdf:Lumley2009.pdf:PDF},
Keywords = {variable selection},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.06},
Url = {http://cran.r-project.org/web/packages/leaps/index.html}
}
@Article{LumleyEtAl2002,
Title = {The importance of the normality assumption in large public health data sets},
Author = {Thomas Lumley and Paula Diehr and Scott Emerson and Lu Chen},
Journal = {Annual Review of Public Health},
Pages = {151-169},
Volume = {23},
Year = {2002},
Abstract = {It is widely but incorrectly believed that the t-test and linear regression are valid only for Normally distributed outcomes. The t-test and linear regression compare the mean of an outcome variable for different subjects. While these are valid even in very small samples if the outcome variable is Normally distributed, their major usefulness comes from the fact that in large samples they are valid for any distribution. We demonstrate this validity by simulation in extremely non-Normal data. We discuss situations in which in other methods such as the Wilcoxon rank sum test and ordinal logistic regression (proportional odds model) have been recommended, and conclude that the t-test and linear regression often provide a convenient and practical alternative. The major limitation on the t-test and linear regression for inference about associations is not a distributional one, but whether detecting and estimating a difference in the mean of the outcome answers the scienti?c question at hand.},
File = {LumleyEtAl2002.pdf:Annual Review of Public Health/LumleyEtAl2002.pdf:PDF},
Keywords = {parametric, nonparametric, Wilcoxon test, rank test, heteroscedasticity},
Owner = {Administrador},
Timestamp = {2010.12.28},
Url = {http://www.rctdesign.org/techreports/ARPHnonnormality.pdf}
}
@Inproceedings{LushEtAl2012,
Title = {Geospatial data quality indicators},
Author = {Victoria Lush and Lucy Bastin and Jo Lumsden},
Booktitle = {Accuracy 2012 - International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences},
Editor = {Carlos Vieira and Vania Bogorny and Arthur Ribeiro Aquino},
Pages = {121-126},
Publisher = {Federal University of Santa Catarina/State University of Santa Catarina},
Year = {2012},
Address = {Florianópolis},
Volume = {10},
Institution = {Federal University of Santa Catarina and State University of Santa Catarina},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.18},
Url = {http://www.spatial-accuracy.org/Accuracy2012}
}
@Inproceedings{LyashevskaEtAl2014,
Title = {Implications of the grid spacing on the quality of spatially predicted species abundances},
Author = {Olga Lyashevska and Dick J Brus and Jaap van der Meer},
Booktitle = {International {S}tatistical {E}cology {C}onference},
Year = {2014},
Address = {Montpellier},
File = {LyashevskaEtAl2014.pdf:LyashevskaEtAl2014.pdf:PDF},
Keywords = {Model; Expectation;},
Url = {http://isec2014.sciencesconf.org/31364/document}
}
@Article{LynchEtAl1985,
Title = {Microorganisms and soil aggregate stability},
Author = {J M Lynch and Elaine Bragg},
Journal = {Advances in Soil Science},
Pages = {133-171},
Volume = {2},
Year = {1985},
File = {LynchEtAl1985.pdf:Advances in Soil Science/LynchEtAl1985.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.28},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVMGRlY2I5ZjQtNzgxOS00YWM5LWFkYzUtMGIzYzY3ODU5NjA1&hl=en}
}
@Article{MoellerEtAl1998,
Title = {Log {G}aussian {C}ox Processes},
Author = {M{\o}ller, Jesper and Syversveen, Anne Randi and Waagepetersen, Rasmus Plenge},
Journal = {Scandinavian Journal of Statistics},
Pages = {451-482},
Volume = {25},
Year = {1998},
Number = {3},
Copyright = {Copyright © 1998 Board of the Foundation of the Scandinavian Journal of Statistics},
File = {MoellerEtAl1998.pdf:MoellerEtAl1998.pdf:PDF},
ISSN = {03036898},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Sep., 1998},
Language = {English},
Publisher = {Wiley on behalf of Board of the Foundation of the Scandinavian Journal of Statistics},
Url = {http://www.jstor.org/stable/4616515}
}
@Article{MacedoEtAl1998,
Title = {Variabilidade de características físicas, químicas e físico-hídricas em solo Podzólico Vermelho-Amarelo de Seropédica, RJ},
Author = {J.R. Macedo and T.B. Otonni-Filho and N.A. Meneguelli},
Journal = {Pesq. agropec. bras.},
Pages = {2043-2053},
Volume = {33},
Year = {1998},
Abstract = {O objetivo deste trabalho foi avaliar os parâmetros fundamentais da distribuição das propriedades físicas (granulometria, densidade do solo, densidade de partículas e percentagem de porosidade total), químicas (teores de matéria orgânica); e físico-hídricas (retenção de água e tensão hídrica), em solos Podzólicos Vermelho-Amarelos, com textura variando de areia franca a franco-areno-argilosa, no município de Seropédica, RJ. A variabilidade das características estudadas foi pesquisada segundo três níveis de análise (global, por perfil e por profundidade). Conclui-se que as características médias de densidades do solo e de partículas e porosidade total foram bem amostradas nos três níveis considerados; a granulometria e a matéria orgânica foram adequadamente amostradas na análise global, em toda a área de estudo, todavia, por perfil e por profundidade, no solo PVe3, o número de amostras foi insuficiente. A variabilidade dos dados de retenção de água cresceu com o aumento da tensão hídrica em todos os níveis de análise e cresceu, linearmente, com o aumento da distância de coleta dos pontos amostrais. Os solos arenosos apresentaram maior variabilidade, sugerindo uma amostragem mais densa quanto às características físicas, químicas e físico-hídricas do que os solos de textura mais argilosa. Os resultados demonstraram que essas propriedades foram muito bem amostradas e que a variabilidade da retenção de água foi positivamente relacionada ao nível de tensão de água.},
Keywords = {água no solo, retenção de umidade, capacidade de campo.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://ainfo.cnptia.embrapa.br/digital/bitstream/AI-SEDE/15885/1/pab427_96.pdf}
}
@Techreport{MacedoEtAl2004,
Title = {Contribuição ao Sistema Brasileiro de Classificação de Solos com a inclusão da nomenclatura físico-hídrica nos 5 º e 6 º níveis categóricos},
Address = {Rio de Janeiro},
Author = {José Ronaldo Macedo and Ottoni Filho, Theóphilo Benedicto and Marta Vasconcelos Ottoni and Flávio Sodré Brito and Francesco Palmieri and Lúcia Helena Cunha Anjos},
Pages = {34},
Year = {2004},
File = {MacedoEtAl2004.pdf:MacedoEtAl2004.pdf:PDF},
Institution = {EMBRAPA-Solos},
Keywords = {SiBCS},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.21}
}
@Article{MachadoEtAl1990,
Title = {Aspectos florísticos e fitossociológicos do Morro do Elefante, Santa Maria, RS},
Author = {Fernando Paulo Santos Machado and Solon Jonas Longhi},
Journal = {Ciência Rural},
Pages = {261-280},
Volume = {20},
Year = {1990},
Abstract = {O "Morro do Elefante" é estudado quanto á sua composição florística e estrutura fitossociológica. Foram levantadas 10 amostras (10 x 100m) totalizando um área de 10.000 m2, no município de Santa Maria, Estado do Rio Grande do Sul. Foram encontradas 67 espécies arbóreas, das quais Nectandra megapotamica, Trichilia clausseni e Cupania vernalis destacaram-se como as mais típicas da floresta.},
File = {:Ciência Rural/Machado e Longhi_Cienc Rural_1990.pdf:PDF},
Keywords = {composição florística, estrutura da vegetação, levantamento},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://coralx.ufsm.br/revista/include/getdoc.php?id=2380&article=930&mode=pdf&OJSSID=9cd931073a586e699dca8c37d3df7072}
}
@Electronic{Machado2012,
Title = {Hidroestratigrafia química preliminar dos aquíferos na {Região Central do Rio Grande do Sul}},
Author = {José Luiz Flores Machado},
Month = {Outubro},
Url = {http://www.perfuradores.com.br},
Year = {2012},
File = {Machado2012.pdf:Machado2012.pdf:PDF},
Keywords = {formação caturrita; dnos; serra geral; santa maria;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.11}
}
@Article{MachamerEtAl2000,
Title = {Thinking about mechanisms},
Author = {Machamer, Peter and Darden, Lindley and Craver, Carl F.},
Journal = {Philosophy of Science},
Pages = {1-25},
Volume = {67},
Year = {2000},
Number = {1},
Abstract = {The concept of mechanism is analyzed in terms of entities and activities, organized such that they are productive of regular changes. Examples show how mechanisms work in neurobiology and molecular biology. Thinking in terms of mechanisms provides a new framework for addressing many traditional philosophical issues: causality, laws, explanation, reduction, and scientific change.},
Copyright = {Copyright © 2000 Philosophy of Science Association},
File = {MachamerEtAl2000.pdf:MachamerEtAl2000.pdf:PDF},
ISSN = {00318248},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 2000},
Language = {English},
Publisher = {The University of Chicago Press on behalf of the Philosophy of Science Association},
Url = {http://www.jstor.org/stable/188611}
}
@Techreport{MacielFilho1990,
Title = {Geotechnical map of {S}anta {M}aria},
Address = {Santa Maria},
Author = {Maciel Filho, C. L.},
Pages = {21},
Publisher = {Federal University of Santa Maria},
Year = {1990},
Keywords = {dnos; redemds; PhDpaper1},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Techreport{MacielEtAl1987,
Title = {Mapa geológico das folhas de Santa Maria e Camobi, na escala de 1:50.0O0},
Address = {Santa Maria},
Author = {Maciel Filho, C L and Gasparetto, N V L and Veiga, P and Sartori, P L P and et alii},
Publisher = {Departamento de Geociência (UFSM - CCNE)},
Year = {1987},
Owner = {alessandro},
Timestamp = {12.02.2014}
}
@Techreport{MacielEtAl1987a,
Title = {Mapa de formações superficiais e solos das folhas de Santa Maria e Camobi na escala 1:50.000},
Address = {Santa Maria},
Author = {Maciel Filho, C L and Gasparetto, N V L and Veiga, P and Sartori, P L P and et alii},
Publisher = {Departamento de Geociência (UFSM - CCNE)},
Year = {1987},
Owner = {alessandro},
Timestamp = {12.02.2014}
}
@Conference{MacMillan2012,
Title = {History and evolution of digital (predictive) soil mapping},
Author = {MacMillan, R. A.},
Booktitle = {Canadian Land Resource Network (CLRN) Annual Meeting},
Year = {2012},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.25},
Url = {http://goo.gl/YVdUh}
}
@Article{MacMillanEtAl2000,
Title = {A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic},
Author = {R. A. MacMillan and W. W. Pettapiece and S. C. Nolan and T. W. Goddard},
Journal = {Fuzzy Sets and Systems},
Pages = {81 - 109},
Volume = {113},
Year = {2000},
Number = {1},
Abstract = {A robust new approach for describing and segmenting landforms which is directly applicable to precision farming has been developed in Alberta. The model uses derivatives computed from DEMs and a fuzzy rule base to identify up to 15 morphologically defined landform facets. The procedure adds several measures of relative landform position to the previous classification of Pennock et al. (Geoderma 40 (1987) 297-315; 64 (1994) 1-19). The original 15 facets can be grouped to reflect differences in complexity of the area or scale of application. Research testing suggests that a consolidation from 15 to 3 or 4 units provides practical, relevant separations at a farm field scale. These units are related to movement and accumulation of water in the landscape and are significantly different in terms of soil characteristics and crop yields. The units provide a base for benchmark soil testing, for applying biological models and for developing agronomic prescriptions and management options.},
Doi = {DOI: 10.1016/S0165-0114(99)00014-7},
File = {:Fuzzy Sets and Systems/MacMillan et al_Fuzzy Sets Sys_2000.pdf:PDF},
ISSN = {0165-0114},
Keywords = {Fuzzy logic},
Url = {http://www.sciencedirect.com/science/article/pii/S0165011499000147}
}
@InCollection{MacMillanEtAl2010,
Title = {Predictive Ecosystem Mapping (PEM) for 8.2 Million ha of Forestland, British Columbia, Canada},
Author = {MacMillan, R.A. and Moon, D.E. and Coupé, R.A. and Phillips, N.},
Booktitle = {Digital Soil Mapping},
Publisher = {Springer Netherlands},
Year = {2010},
Editor = {Boettinger, JanisL. and Howell, DavidW. and Moore, AmandaC. and Hartemink, AlfredE. and Kienast-Brown, Suzann},
Pages = {337-356},
Series = {Progress in Soil Science},
Volume = {2},
Doi = {10.1007/978-90-481-8863-5_27},
File = {MacMillanEtAl2010.pdf:MacMillanEtAl2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Keywords = {Operational predictive mapping; Basic principles; Expert knowledge; Area-class maps; Accuracy assessment},
Language = {English},
Owner = {alessandro},
Timestamp = {20.02.2014},
Url = {http://dx.doi.org/10.1007/978-90-481-8863-5_27}
}
@InCollection{MacMillanEtAl2009,
Title = {Landforms and landform elements in geomorphometry},
Author = {R.A. MacMillan and P.A. Shary},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {9},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {227 - 254},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00009-3},
File = {MacMillanEtAl2009.pdf:MacMillanEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {why are landforms important and why classify them? ruggedness; roughness;},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-K/2/7b1073a7b908eb95d71ece19d6774a3a}
}
@InCollection{MacMillanEtAl2009a,
Title = {Automated predictive mapping of ecological entities},
Author = {R.A. MacMillan and A. Torregrosa and D. Moon and R. Coupé and N. Philips},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {24},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {551 - 578},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00024-X},
File = {MacMillanEtAl2009a.pdf:MacMillanEtAl2009a.pdf:PDF},
ISSN = {0166-2481},
Keywords = {ecological zones and land classification},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-14/2/d2c088cc17cf219d29e8e5d620ac18a6}
}
@Article{Madow1949,
Title = {On the theory of systematic sampling, {II}},
Author = {Madow, William G.},
Journal = {The Annals of Mathematical Statistics},
Pages = {333-354},
Volume = {20},
Year = {1949},
Number = {3},
Abstract = {In an earlier paper, [1] an approach to the problem of systematic sampling was formulated, and the associated variance obtained. Several forms of the population were assumed. The efficiency of the systematic design as compared with the random and stratified random design was evaluated for these forms. It was remarked that as the size of sample increased the variance of a systematic design might also increase, contrary to the behavior of variances in the random sampling design. This possibility was verified in [2]. One approach to the study of systematic designs, given by Cochran [3] removed this difficulty to some extent by changing the problem to one of the expected variance, and supposing the elements of the population to be random variables. He showed that if the correlogram of these random variables is concave upwards, then the expected variance of the systematic design would be less, and often considerably less, than the variance of a stratified design. In the present paper the results of the earlier papers are extended to the systematic sampling of clusters of equal and unequal sizes. Some comments on systematic sampling in two dimensions are included. In section 2 we derive two theorems that have considerable applications in many parts of sampling. Although it has been common for people working in sampling theory to tell each other that these theorems ought to be true, yet no reference seems to exist. In section 3 we develop the implications of a remark [1, p. 13] that in designing sample surveys we should try to induce negative correlation between strata. In Theorem 3 we obtain sufficient conditions for the correlation to be negative. The lemma and Theorem 4 given in Section 4 enable us to extend the uses of Theorem 3 in practice. As an application of these results, we show that if a population has a concave upwards correlogram, and if strata are defined in an optimum fashion for the selection of one element at random from each stratum, then we can define a systematic type design that will be more efficient than independent random selection from each stratum. In sections 5 and 6 we obtain various results in the systematic sampling of clusters largely as applications of the more general theorems of the earlier sections. In general the results are of a nature similar to those of [1] and [3] in that the formulae show the conditions under which systematic sampling may be expected to be more efficient than random or stratified random sampling. We have not, however, applied these formulae to specified types of populations. From [1, 2 and 3] it is already apparent that this work will be useful and such studies should be more valuable when made in connection with important types of surveys or data than when made as illustrations in a general paper.},
Copyright = {Copyright © 1949 Institute of Mathematical Statistics},
File = {Madow1949.pdf:the_annals_of_mathematical_statistics/Madow1949.pdf:PDF},
ISSN = {00034851},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Sep., 1949},
Language = {English},
Publisher = {Institute of Mathematical Statistics},
Url = {http://www.jstor.org/stable/2236532}
}
@Article{MadowEtAl1944,
Title = {On the theory of systematic sampling, I},
Author = {Madow, William G. and Madow, Lillian H.},
Journal = {The Annals of Mathematical Statistics},
Pages = {1-24},
Volume = {15},
Year = {1944},
Number = {1},
Copyright = {Copyright © 1944 Institute of Mathematical Statistics},
File = {MadowEtAl1944.pdf:the_annals_of_mathematical_statistics/MadowEtAl1944.pdf:PDF},
ISSN = {00034851},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 1944},
Language = {English},
Publisher = {Institute of Mathematical Statistics},
Url = {http://www.jstor.org/stable/2236209}
}
@Article{MadridEtAl2002,
Title = {Distribution of heavy metal contents of urban soils in parks of Seville},
Author = {Luis Madrid and Encarnación Díaz-Barrientos and Fernando Madrid},
Journal = {Chemosphere},
Pages = {1301-1308},
Volume = {49},
Year = {2002},
Abstract = {Several metals in urban soils of Seville were extracted by two methods, which respectively give estimates of the available and quasi total contents. Although the soils did not show strong heterogeneity in their general properties, high dispersion of the contents in those metals with greater relative availability, Cu, Pb and Zn, as compared to others suggested that pollution with these three metals could occur in some sampling sites. It was shown that the contents in these metals tend to increase as the historic quarters of the city are approached. Using reference values given by the Queebec Ministry of Environment it was shown that those green areas closer to the historic centre present contents in Pb, Zn and particularly Cu that often exceed the acceptable limits for residential, recreational and institutional sites. From background contents for Seville soils estimated from a park located on the outskirts, a pollution load index (PLI) for each sampling site was calculated for the set of these three metals. It was shown that the PLI tends to increase as tra?c density increases and as distance from main tra?c decreases, but poor regressions were obtained, suggesting that other variables di?erent from tra?c should be considered.},
File = {:Chemosphere/Madrid et al_Chemosphere_2002.pdf:PDF},
Keywords = {Urban soils; Heavy metals in soils; Soil pollution},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0045653502005301}
}
@Inproceedings{EtAl2007,
Title = {Avaliação do desempenho do uso de PRCE?s e consórcio de espécies vegetais para a revegetação da cobertura final de aterros sanitários ? estudo de caso para o aterro sanitário de Belo Horizonte, MG},
Author = {Allan Freitas Magalhães and Gustavo Ferreira Simões},
Booktitle = {Anais do 24º Congresso Brasileiro de Engenharia Sanitária e Ambiental},
Editor = {ABES},
Pages = {1-7},
Year = {2007},
Keywords = {Aterro Sanitário, Cobertura final, Áreas Degradadas, Revegetação, Bioengenharia de solos.},
Location = {Belo Horizonte, MG},
Owner = {Alessandro Samuel Rosa},
Timestamp = {18.08.2009}
}
@Inproceedings{MagalhaesEtAl2007,
Title = {Avaliação do desempenho do uso de PRCE?s e consórcio de espécies vegetais para a revegetação da cobertura final de aterros sanitários ? estudo de caso para o aterro sanitário de Belo Horizonte, MG},
Author = {Allan Freitas Magalhães and Gustavo Ferreira Simões},
Booktitle = {Anais do 24º Congresso Brasileiro de Engenharia Sanitária e Ambiental},
Editor = {ABES},
Pages = {1-7},
Year = {2007},
Keywords = {Aterro Sanitário, Cobertura final, Áreas Degradadas, Revegetação, Bioengenharia de solos.},
Location = {Belo Horizonte, MG},
Owner = {Alessandro Samuel Rosa},
Timestamp = {18.08.2009}
}
@Inproceedings{EtAl2005,
Title = {Avaliação da fertilidade do solo da camada de cobertura final como substrato para a revegetação de aterros sanitários ? estudo de caso para o aterro sanitário de Belo Horizonte},
Author = {Allan Freitas Magalhães and Gustavo Ferreira Simões and Valéria Ferreira Coelho and Sofia Regina Lopes},
Booktitle = {23º Congresso Brasileiro de Engenharia Sanitária e Ambiental},
Editor = {ABES},
Pages = {1-9},
Year = {2005},
Keywords = {Aterro Sanitário, Fertilidade do Solo, Áreas Degradadas, Cobertura Final, Revegetação do Solo.},
Location = {Campo Grande, MS},
Owner = {Alessandro Samuel Rosa},
Timestamp = {18.08.2009}
}
@Inproceedings{EtAl2005a,
Title = {Avaliação das características físicas do solo da camada da cobertura final como substrato para a revegetação de aterros sanitários ? estudo de caso para o aterro sanitário de Belo Horizonte, MG},
Author = {Allan Freitas Magalhães and Gustavo Ferreira Simões and Valéria Ferreira Coelho and Sofia Regina Lopes},
Booktitle = {Anais do 23º Congresso Brasileiro de Engenharia Sanitária e Ambiental},
Editor = {ABES},
Pages = {1-8},
Year = {2005},
Keywords = {Camada de Cobertura Final, Aterro Sanitário, Erosão do Solo, Recuperação do Solo.},
Location = {Campo Grande, MS},
Owner = {Alessandro Samuel Rosa},
Timestamp = {18.08.2009}
}
@Book{MagdoffEtAl2004,
Title = {Soil organic matter in sustainable agriculture},
Author = {Fred Magdoff and Ray R. Weil},
Pages = {524},
Publisher = {Boca Raton, USA: CRC Press},
Year = {2004},
Edition = {1},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Book{Magee1974,
Title = {As idéias de Popper},
Address = {São Paulo},
Author = {Edgar Bryan Magee},
Pages = {113},
Publisher = {Editora Cultrix},
Year = {1974},
Abstract = {Método científico: a concepção tradicional e a concepção de Popper; O critério de demarcação entre o que é ciência e o que não é ciência; O evolucionismo de Popper e sua teoria acerca do Mundo 3; Conhecimento objetivo; A sociedade aberta; Os inimigos da sociedade aberta.},
File = {Magee1974.pdf:Magee1974.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.09},
Url = {http://pt.scribd.com/doc/55722456/As-Ideias-de-Popper}
}
@Article{MaiaEtAl2009,
Title = {Effect of grassland management on soil carbon sequestration in Rondônia and Mato Grosso states, Brazil},
Author = {Stoécio M.F. Maia and Stephen M. Ogle and Carlos E.P. Cerri and Carlos C. Cerri},
Journal = {Geoderma},
Pages = {84-91},
Volume = {149},
Year = {2009},
Abstract = {Grassland management affects soil organic carbon (SOC) content and a variety of management options have been proposed to sequester carbon. However, studies conducted in Brazilian pastures have shown divergent responses for the SOC depending on management practices. Our objective was to evaluate the effects of management on SOC stocks in grasslands of the Brazilian states of Rondônia and Mato Grosso, and to derive region-speci ? c factors for soil C stock change associated with different management conditions. Compared to SOC stocks in native vegetation, degraded grassland management decreased SOC by a factor of 0.91±0.14, nominal grassland management reduced SOC stock for Oxisols by a relatively small factor of 0.99 ±0.08, whereas, SOC storage increased by a factor of 1.24±0.07 with nominal management for other soil types. Improved grassland management on Oxisols increased SOC storage by 1.19±0.07, relative to native stocks, but there were insuf ? cient data to evaluate the impact of improved grassland management for other soil types. Using these results, we also evaluated the potential for grassland management to sequester or emit C to the atmosphere, and found that degraded grassland management decreased stocks by about 0.27?0.28 Mg C ha ?1 yr ?1 ; nominal management on Oxisols decreased C at a rate of 0.03 Mg C ha ?1 yr ?1 , while nominal management on others soil types and improved management on Oxisols increased stocks by 0.72 Mg C ha ?1 yr ?1 and 0.61 Mg C ha ?1 yr ?1 , respectively. Therefore, when well managed or improved, grasslands in Rondônia and Mato Grosso states have the potential to sequester C.},
Doi = {10.1016/j.geoderma.2008.11.023},
File = {:Geoderma/Maia et al_Geoderma_2009.pdf:PDF},
Keywords = {Grassland management, Soil organic carbon, Carbon sequestration, Amazonia, Cerrado},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Maindonald,
Title = {Data mining from a statistical perspective},
Author = {John Maindonald},
Keywords = {nonlinear; data mining; statistics; data analysis; knowledge discovery in databases; evidence-based medicine; Francis Bacon;},
Url = {http://maths-people.anu.edu.au/~johnm/}
}
@Book{MaindonaldEtAl2003,
Title = {Data analyisis and graphics using R: an exemple-based approach},
Author = {John Maindonald and John Braun},
Pages = {362},
Publisher = {Cambridge, UK: Cambridge University Press},
Year = {2003},
Edition = {1},
File = {MaindonaldEtAl2003.pdf:Book/MaindonaldEtAl2003.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Book{Mallet2002,
Title = {Geomodeling},
Author = {Mallet, Jean Laurent},
Pages = {599},
Publisher = {New York, USA: Oxford University Press},
Year = {2002},
Edition = {1},
File = {Mallet2002.pdf:Book/Mallet2002.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{Mallows1973,
Title = {Some comments on {Cp}},
Author = {Mallows, C. L.},
Journal = {Technometrics},
Pages = {661-675},
Volume = {15},
Year = {1973},
Number = {4},
Abstract = {We discuss the interpretation of CP-plots and show how they can be calibrated in several ways. We comment on the practice of using the display as a basis for formal selection of a subset-regression model, and extend the range of application of the device to encompass arbitrary linear estimates of the regression coefficients, for example Ridge estimates.},
Copyright = {Copyright © 1973 American Statistical Association and American Society for Quality},
File = {Mallows1973.pdf:Mallows1973.pdf:PDF},
ISSN = {00401706},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Nov., 1973},
Keywords = {redemds},
Language = {English},
Owner = {Alessandro Samuel Rosa},
Publisher = {American Statistical Association and American Society for Quality},
Timestamp = {2012.06.25},
Url = {http://www.jstor.org/stable/1267380}
}
@Article{MaloneEtAl2013,
Title = {Spatial scaling for digital soil mapping},
Author = {Malone, Brendan P. and McBratney, Alex B. and Minasny, Budiman},
Journal = {Soil Science Society of America Journal},
Pages = {890},
Volume = {77},
Year = {2013},
Number = {3},
Doi = {10.2136/sssaj2012.0419},
File = {MaloneEtAl2013.pdf:MaloneEtAl2013.pdf:PDF},
ISSN = {0361-5995},
Keywords = {Best Paper in Pedometrics 2013;},
Owner = {alessandro},
Publisher = {Soil Science Society of America}
}
@Article{Maluf2000,
Title = {A new climatic classification for the state of {Rio} {Grande} do {Sul}, {Brazil}},
Author = {Maluf, J.R.T.},
Journal = {Revista Brasileira de Agrometeorologia},
Pages = {141-150},
Volume = {8},
Year = {2000},
Keywords = {climatic classification, climate, climatology, Rio Grande do Sul, Brazil; dnos; redemds; pedometrics; PhDpaper1},
Owner = {pccli},
Timestamp = {2011.10.24},
Url = {http://www.ufsm.br/rba/p14181.html}
}
@Article{MandalEtAl2010,
Title = {Landscape and land use effects on soil resources in a Himalayan watershed},
Author = {Debashis Mandal and Ratan Singh and S.K. Dhyani and B.L. Dhyani},
Journal = {Catena},
Pages = {203-208},
Volume = {81},
Year = {2010},
Number = {3},
Abstract = {Sustainable land management decisions at all scales require solid, science-based information. Soil quality assessment can provide this regarding soil physical, chemical, and biological characteristics and the ability to provide ecosystem and societal services. Our objective was to make a regional assessment of soils in the Garhwal Himalayas to determine their ability to perform various functions and respond to external influences. Five functional categories were assessed using 13 soil parameters focused on ecological sustainability. Human land use effects on soils were referenced to natural woodlands at each landscape position. Within upper-slope regions, flora and fauna habitat, moisture retention, organic matter and nutrient cycling, air and water infiltration and resistance to erosion were decreased 35, 27, 24, 24, and 9%, respectively. At mid-slope positions the order and magnitude of decrease were organic matter and nutrient cycling, flora and fauna habitat, and moisture retention (26, 22, and 16%, respectively). Changes within the valley were lowest, averaging ? 3% for flora and fauna habitat and ? 13% for organic matter and nutrient cycling. We conclude that the minimum data set (MDS) used provided a representative assessment of soil quality and could serve as a basis for assessment in similar tropical watersheds},
File = {MandalEtAl2010.pdf:Catena/MandalEtAl2010.pdf:PDF},
Keywords = {Soil functionality; Erosion resistance; Landscape and land use; Organic matter supply and nutrient cycling},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0341816210000330}
}
@Book{Mandelbrot1983,
Title = {The fractal geometry of nature},
Author = {Benoit B. Mandelbrot},
Pages = {468},
Publisher = {New York, USA: W. H. Freeman and Company},
Year = {1983},
Edition = {3},
File = {Mandelbrot1983.pdf:Book/Mandelbrot1983.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.25}
}
@Article{MannEtAl1998,
Title = {Global-scale temperature patterns and climate forcing over the past six centuries},
Author = {Michael E. Mann and Raymond S. Bradley and Malcolm K. Hughes},
Journal = {Nature},
Pages = {779-787},
Volume = {392},
Year = {1998},
Abstract = {Spatially resolved global reconstructions of annual surface temperature patterns over the past six centuries are based on the multivariate calibration of widely distributed high-resolution proxy climate indicators. Time-dependent correlations of the reconstructions with time-series records representing changes in greenhouse-gas concentrations, solar irradiance, and volcanic aerosols suggest that each of these factors has contributed to the climate variability of the past 400 years, with greenhouse gases emerging as the dominant forcing during the twentieth century. Northern Hemisphere mean annual temperatures for three of the past eight years are warmer than any other year since (at least) ad 1400.},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://www.geo.umass.edu/faculty/bradley/mann1998.pdf}
}
@Article{MapaEtAl1996,
Title = {Variability of soil properties in a tropical Alfisol used for shifting cultivation},
Author = {Ranjith B. Mapa and D. Kumaragamage},
Journal = {Soil Technology},
Pages = {187-197},
Volume = {9},
Year = {1996},
Abstract = {Many lands in the tropics are abandoned after few seasons of shifting cultivation due to loss of soil fertility. There is a great need for characterizing these soils for reforestation or revegetation using conservation farming systems. This study investigate the variability of soil pH, electrical conductivity (EC), clay content, organic C and available P in a tropical Alfisol and its spatial dependence subsequent to shifting cultivation. These parameters were measured in a total of 132 samples obtained from a 45 by 45 m area according to a pre-determined sampling grid. The coefficient of variation for the parameters ranged from 7% to 44%. The variability was assessed by conventional statistical methods and semi-variograms for spatial dependence using geostatistics. All the soil properties except soil pH exhibited spatial dependence at the distances measured. However, EC showed less spatial dependency when compared with clay, organic matter and available P contents. The spatial auto-correlation was strongest for soil organic C, less for clay and EC and least fl~r available P. EC showed a spatial correlation to a highest distance while the organic C showed spatial correlation to a lowest distance. All properties that showed a spatial dependence exhibited high nugget variance. The parameters obtained from the semi-variograms were used to interpolate the values at unmeasured locations using block kriging. It showed that EC is not a limiting factor lot crop production in these areas used for shifting cultivation. The organic C levels were low other than in few pockets showing the need in increasing the organic matter contents before cropping again. Available P contents were also limiting where cereals, soybean, maize and grasses which has a low P demand may be included in any conservation farming systems. The field variability obtained by block kriging is useful in applying soil amendments in pockets rather than to the total field to optimize resource use. This study shows the potential of geostatistics in agronomic applications.},
Keywords = {Kriging; Shifting cultivation; Spatial variability},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0933363096000153}
}
@Article{MaquereEtAl2008,
Title = {Influence of land use (savanna, pasture, Eucalyptus plantations) on soil carbon and nitrogen stocks in Brazil},
Author = {V. Maquere and J. P. Laclau and M. Bernoux and L. Saint-Andre and J. L. M. Gonçalves and C.C. Cerri and M. C. Piccolo and J. Ranger},
Journal = {European Journal of Soil Science},
Pages = {863-877},
Volume = {59},
Year = {2008},
Abstract = {In Brazil, most Eucalyptus stands have been planted on Cerrado (shrubby savanna) or on Cerrado converted into pasture. Case studies are needed to assess the effect of such land use changes on soil fertility and C sequestration. In this study, the influence of Cerrado land development (pasture and Eucalyptus plantations) on soil organic carbon (SOC) and nitrogen (SON) stocks were quantified in southern Brazil. Two contrasted silvicultural practices were also compared: 60 years of short-rotation silviculture (EUCSR) versus 60 years of continuous growth (EUCHF). C and N soil concentrations and bulk densities were measured and modelled for each vegetation type, and SOC and SON stocks were calculated down to a depth of 1 m by a continuous function. Changes in SOC and SON stocks mainly occurred in the forest floor (no litter in pasture and up to 0.87 kg C m2 and 0.01 kg N m2 in EUCSR) and upper soil horizons. C and N stocks and their confidence intervals were greatly influenced by the methodology used to compute these layers. C/N ratio and 13C analysis showed that down to a depth of 30 cm, the Cerrado organic matter was replaced by organic matter from newly introduced vegetation by as much as 75?100% for pasture and about 50% for EUCHF, poorer in N for Eucalyptus stands (C/N larger than 18 for Eucalyptus stands). Under pasture, 0?30 cm SON stocks (0.25 kg N m2) were between 10 and 20% greater than those of the Cerrado (0.21 kg N m2), partly due to soil compaction (limit bulk density at soil surface from 1.23 for the Cerrado to 1.34 for pasture). Land development on the Cerrado increased SOC stocks in the 0?30 cm layer by between 15 and 25% (from 2.99 (Cerrado) to 3.86 (EUCSR) kg C m2). When including litter layers, total 0?30 cm carbon stocks increased by 35% for EUCHF (4.50 kg C m2) and 53% for EUCSR (5.08 kg C m2), compared with the Cerrado (3.28 kg C m2), independently of soil compaction. TRABALHO BOM!!!},
Doi = {10.1111/j.1365-2389.2008.01059.x},
File = {:European Journal of Soil Science/Maquere et al_Eur J Soil Sci_2008.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{Maraschin-SilvaEtAl2009,
Title = {Diversidade e estrutura do componente herbáceo-subarbustivo em vegetação secundária de Floresta Atlântica no sul do Brasil},
Author = {Fabiana Maraschin-Silva and Adriano Scherer and Luís Rios de},
Journal = {Revista Brasileira de Biociências},
Pages = {53-65},
Volume = {7},
Year = {2009},
Abstract = {A composição florística, diversidade e estrutura do componente herbáceo-subarbustivo e suas relações com fatores ambientais foram estudados em comunidades secundárias de Floresta Atlântica de Terras Baixas com cinco (5a.) e 20 anos (20a.) de regeneração natural. Os dados estruturais foram obtidos em 100 e 35 parcelas de 1 m 2 nas capoeiras 5a. e 20a., respectivamente. Foram avaliadas as correlações entre o padrão de distribuição das espécies e variáveis ambientais com análise de correspondência canônica (CCA). A composição e estrutura do componente herbáceo-subarbustivo das capoeiras apresentaram diferenças significativas. A similaridade florística entre as capoeiras atingiu 40%. A capoeira 5a. teve 76 espécies e diversidade (H?) de 2,305 nats/ind. A maioria das espécies era heliófila e poucas ciófilas. A capoeira 20a. teve 34 espécies e H? de 1,961 nats/ ind. Nesta capoeira, a maioria das espécies era tolerante à sombra em comparação à capoeira 5a. Embora haja efeitos do esforço amostral na riqueza, as diferenças gerais observadas distinguiram as capoeiras na CCA. A distribuição das espécies mostrou-se associada em parte à densidade de arbustos e árvores, que reflete o sombreamento nos estratos inferiores, à distância de bordas florestais e às condições de fertilidade do solo, provavelmente afetadas por diferentes usos feitos no passado.},
Keywords = {sucessão secundária, regeneração florestal, sinúsia herbácea, Floresta Ombrófila Densa Atlântica de Terras Baixas.},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{MarchantEtAl2007,
Title = {The {M}atérn variogram model: implications for uncertainty propagation and sampling in geostatistical surveys},
Author = {Marchant, B.P. and Lark, R.M.},
Journal = {Geoderma},
Pages = {337–345},
Volume = {140},
Year = {2007},
Month = {Aug},
Number = {4},
Doi = {10.1016/j.geoderma.2007.04.016},
File = {MarchantEtAl2007.pdf:MarchantEtAl2007.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Spatial; Sampling; Optimization; Design; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{MarchantEtAl2006,
Title = {Adaptive sampling and reconnaissance surveys for geostatistical mapping of the soil},
Author = {Marchant, B.P. and Lark, R.M.},
Journal = {European Journal of Soil Science},
Pages = {831-845},
Volume = {57},
Year = {2006},
Month = {Dec},
Number = {6},
Doi = {10.1111/j.1365-2389.2005.00774.x},
File = {MarchantEtAl2006.pdf:MarchantEtAl2006.pdf:PDF},
ISSN = {1365-2389},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics; Variogram; Starting; Sample; Pattern;},
Owner = {alessandro}
}
@Article{MarchantEtAl2004,
Title = {Estimating variogram uncertainty},
Author = {B. P. Marchant and R. M. Lark},
Journal = {Mathematical Geology},
Pages = {867-898},
Volume = {36},
Year = {2004},
Number = {8},
Abstract = {The variogram is central to any geostatistical survey, but the precision of a variogram estimated from sample data by the method of moments is unknown. It is important to be able to quantify variogram uncertainty to ensure that the variogram estimate is sufficiently accurate for kriging. In previous studies theoretical expressions have been derived to approximate uncertainty in both estimates of the experimental variogram and fitted variogram models. These expressions rely upon various statistical assumptions about the data and are largely untested. They express variogram uncertainty as functions of the sampling positions and the underlying variogram. Thus the expressions can be used to design efficient sampling schemes for estimating a particular variogram. Extensive simulation tests show that for a Gaussian variable with a known variogram, the expression for the uncertainty of the experimental variogram estimate is accurate. In practice however, the variogram of the variable is unknown and the fitted variogram model must be used instead. For sampling schemes of 100 points or more this has only a small effect on the accuracy of the uncertainty estimate. The theoretical expressions for the uncertainty of fitted variogram models generally overestimate the precision of fitted parameters. The uncertainty of the fitted parameters can be determined more accurately by simulating multiple experimental variograms and fitting variogram models to these. The tests emphasize the importance of distinguishing between the variogram of the field being surveyed and the variogram of the random process which generated the field. These variograms are not necessarily identical. Most studies of variogram uncertainty describe the uncertainty associated with the variogram of the random process. Generally however, it is the variogram of the field being surveyed which is of interest. For intensive sampling schemes, estimates of the field variogram are significantly more precise than estimates of the random process variogram. It is important, when designing efficient sampling schemes or fitting variogram models, that the appropriate expression for variogram uncertainty is applied.},
Doi = {10.1023/B:MATG.0000048797.08986.a7},
File = {MarchantEtAl2004.pdf:MarchantEtAl2004.pdf:PDF},
Keywords = {redemds}
}
@Article{Marcos1999,
Title = {Terminologia e vernáculo},
Author = {Zilmar Ziller Marcos},
Journal = {Boletim da Sociedade Brasileira de Ciência do Solo},
Pages = {12-15},
Volume = {24},
Year = {1999},
Number = {2},
File = {Marcos1999.pdf:Marcos1999.pdf:PDF},
Keywords = {soil concept;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.29}
}
@Article{Marcos1982,
Title = {{Essay on pedological epistemology. 1. Definition of soil. 2. Nature and behaviour of the soil}},
Author = {Zilmar Ziller Marcos},
Journal = {Cahiers ORSTOM. Serie Pedologie},
Pages = {5-28},
Volume = {19},
Year = {1982},
Abstract = {This is an essay on epistemology in the sense that it is a critical study of principles. The methods of logic were used in arguments presented to demonstrate the validity of concepts and the correctness of terms proposed herein, as rue11 as for the rebuttal of their traditionally accepted counterparts. The subjecfs discussed and the conclusions thereof were the following : 1. DEFINITION OF SOIL. Starting from the accepted fact that the definitions of soi1 found in the literature on the subject do not lead to a consensus as to what is soil, an inductive analogical argument was used to show that the incongruent situation of Pedology in the context of Science should be corrected. It was concluded that Pedology relates coherently with other divisions of Science by taking responsibility for the study of regolith as defined in the tezt. Consequently, ii was possible to present a straightforward edaphological definition of soil; 2. NATURE AND BEHAVIOR OF THE SOIL. The argument was developed starting from the distinction between what is intrinsic and what is inherent to the soil. It was logically concluded that the nature of the soi1 is defined by its characteristics whereas behavior is indicated by its properties. Some applications of these concepts were indicated and compared with other alternatives found in the literature.},
File = {Marcos1982.PDF:Marcos1982.PDF:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.03},
Url = {http://horizon.documentation.ird.fr/exl-doc/pleins_textes/cahiers/PTP/1431.PDF}
}
@Article{MariethozEtAl2009,
Title = {Integrating collocated auxiliary parameters in geostatistical simulations using joint probability distributions and probability aggregation},
Author = {Mariethoz, Grégoire and Renard, Philippe and Froidevaux, Roland},
Journal = {Water Resources Research},
Pages = {n/a–n/a},
Volume = {45},
Year = {2009},
Month = {Aug},
Number = {8},
Doi = {10.1029/2008wr007408},
File = {MariethozEtAl2009.pdf:MariethozEtAl2009.pdf:PDF},
ISSN = {0043-1397},
Owner = {alessandro},
Publisher = {Wiley-Blackwell},
Timestamp = {20.04.2015}
}
@Mastersthesis{Marins2004,
Title = {Hidrologic simulation of the {Vacacaí-Mirim} reservoir, {Santa Maria-RS}, using the {IPHS1} system},
Address = {Santa Maria},
Author = {Alexandre Pereira Marins},
Pages = {161},
School = {Programa de Pós-Graduação em Engenharia Civil, Federal University of Santa Maria},
Year = {2004},
File = {:dissertação/Marins_Dissertação_2004.pdf:PDF},
Keywords = {dnos; geologia; geomorfologia;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.11}
}
@Article{MariotEtAl2007,
Title = {Dissolved organic matter fluorescence as a water-flow tracer in the tropical wetland of Pantanal of Nhecolândia, Brazil},
Author = {Mélody Mariot and Yves Dudal and Sônia Furian and Arnaldo Sakamoto and Vincent Vallès and Monique Fort and Laurent Barbiero},
Journal = {Science of the Total Environment},
Pages = {184-193},
Volume = {388},
Year = {2007},
Abstract = {The Nhecolândia is a sub-region of the Brazilian Pantanal wetland, where saline and freshwater lakes coexist in close proximity. Measurements of dissolved organic carbon (DOC) content and analysis of fluorescence excitation?emission matrices (EEM) were conducted in an effort to characterize spatial variability in concentration and source of dissolved organic matter (DOM) and to further understand the hydrochemical functioning of this complex environment. Increasing pH under the influence of evaporation resulted in an increasing DOC solubility ranging from 50 to over 300 mgC L ? 1 in surface water. Spectrofluorescence characterisation indicates the presence of several families of dissolved organic matter (fulvic and humic-type and proteinaceous materials), which are related to the type of lake and its hydro?bio?geochemical functioning. Moreover, the fluorescence signatures from lake water DOM and from surrounding soil?water-extracted organic matter (WEOM) show strong similarities although some labile proteinaceous compounds disappeared during humification. Results from the characterisation of DOM and WEOM not only suggest that spectrofluorescence is a reliable technique for the tracing of water flows, but also for the marking of the origin of organic horizons in this environment.},
Doi = {10.1016/j.scitotenv.2007.08.003},
Keywords = {Spectrofluorecence; Organic matter; Tracing; Alkaline wetland; Pantanal; Brazil},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{MarlerEtAl2009,
Title = {The weighted sum method for multi-objective optimization: new insights},
Author = {Marler, R. Timothy and Arora, Jasbir S.},
Journal = {Structural and Multidisciplinary Optimization},
Pages = {853-862},
Volume = {41},
Year = {2009},
Month = {Dec},
Number = {6},
Doi = {10.1007/s00158-009-0460-7},
File = {MarlerEtAl2009.pdf:MarlerEtAl2009.pdf:PDF},
ISSN = {1615-1488},
Keywords = {Normalization;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{MarlerEtAl2005,
Title = {Function-transformation methods for multi-objective optimization},
Author = {Marler, R. Timothy and Arora, Jasbir S.},
Journal = {Engineering Optimization},
Pages = {551-570},
Volume = {37},
Year = {2005},
Month = {Sep},
Number = {6},
Doi = {10.1080/03052150500114289},
File = {MarlerEtAl2005.pdf:MarlerEtAl2005.pdf:PDF},
ISSN = {1029-0273},
Keywords = {Normalization;},
Owner = {alessandro},
Publisher = {Informa UK Limited}
}
@Article{MarlerEtAl2004,
Title = {Survey of multi-objective optimization methods for engineering},
Author = {Marler, R. T. and Arora, J. S.},
Journal = {Structural and Multidisciplinary Optimization},
Pages = {369-395},
Volume = {26},
Year = {2004},
Month = {Apr},
Number = {6},
Doi = {10.1007/s00158-003-0368-6},
File = {MarlerEtAl2004.pdf:MarlerEtAl2004.pdf:PDF},
ISSN = {1615-1488},
Keywords = {Normalization; Pareto;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{MarquardtEtAl1974,
Title = {Test statistics for mixture models},
Author = {Marquardt, Donald W. and Snee, Ronald D.},
Journal = {Technometrics},
Pages = {533-537},
Volume = {16},
Year = {1974},
Number = {4},
Abstract = {Regression models of the forms proposed by Scheffé and by Becker have been widely and usefully applied to describe the response surfaces of mixture systems. These models do not contain a constant term. It has been common practice to test the statistical significance of these mixture models by the same statistical procedures used for other regression models whose constant term is absent (e. g., because the regression must pass through the origin). In this paper we show that the common practice produces misleading results for mixtures. The mixture models require a different set of F, R2, and RA 2 statistics. The correct mixture statistics correspond to a physically consistent null hypothesis and are also consistent with the expression of the mixture model in the older "slack-variable" form. An illustrative example is included.},
Copyright = {Copyright © 1974 American Statistical Association and American Society for Quality},
File = {MarquardtEtAl1974.pdf:Technometrics/MarquardtEtAl1974.pdf:PDF},
ISSN = {00401706},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Nov., 1974},
Keywords = {intercept, coefficient of determination},
Language = {English},
Publisher = {American Statistical Association and American Society for Quality},
Url = {http://www.jstor.org/stable/1267604}
}
@Article{MarquesEtAl2007,
Title = {Caracterização e classificação de Cambissolos do arquipélago de Fernando de Noronha, Pernambuco},
Author = {Flávio Adriano Marques and Mateus Rosas Ribeiro and Sheila Maria Bretas Bittar and José De Almeida Lima.Neto and José Fernando Wanderley Fernandes Lima},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1023-1034},
Volume = {31},
Year = {2007},
Abstract = {Este trabalho visou caracterizar e classificar Cambissolos de ocorrência comum no Arquipélago de Fernando de Noronha, com o objetivo de testar e contribuir para o desenvolvimento do Sistema Brasileiro de Classificação de Solos (SiBCS). Além disso, uma melhor compreensão desses solos e de sua distribuição na paisagem é de grande importância no planejamento do uso da terra, para nortear ações governamentais visando à exploração sustentável desse complexo turístico- ecológico. Com base no Mapa Detalhado de Solos do Arquipélago de Fernando de Noronha, seis perfis de Cambissolos representativos da área foram selecionados, descritos e coletados, visando à caracterização morfológica, física, química e mineralógica. Os Cambissolos foram adequadamente classificados segundo a nova versão do SiBCS, que incluiu o grande grupo ?Ta eutroférrico?, sugerido durante o desenvolvimento deste trabalho. Os solos do Arquipélago refletem nas suas propriedades as características marcantes do material de origem vulcânico, do clima tropical com franco domínio oceânico e do relevo. Os Cambissolos Háplicos Ta eutroférricos típicos ocupam as posições mais preservadas do planalto central da ilha principal e possuem os melhores atributos físicos e químicos para utilização agrícola ou geotécnica. Os Cambissolos Háplicos Ta eutróficos lépticos, relacionados com relevos acidentados e geralmente associados com Neossolos Litólicos e afloramentos de rocha, são solos que requerem proteção especial devido à sua alta instabilidade ao processo erosivo. Por sua vez, os Cambissolos Háplicos Sódicos vertissólicos, que ocorrem em áreas ligeiramente rebaixadas do planalto central, apresentam sérios problemas de drenagem e argilas expansivas. Quimicamente, os solos apresentam teores elevados a extremamente elevados de P extraível, de distribuição irregular tanto entre perfis como nos horizontes, o que sugere a influência de fontes distintas deste elemento.},
Keywords = {ilhas oceânicas brasileiras, taxonomia de solos, Cambissolos.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/scielo.php?pid=S0100-06832007000500019&script=sci_arttext}
}
@Article{MarquesEtAl2007a,
Title = {Caracterização e classificação de neossolos da ilha de fernando de noronha (pe)},
Author = {Flávio Adriano Marques and Mateus Rosas Ribeiro and Sheila Maria Bretas Bittar and Antônio Novais Tavares.Filho and José Fernando Wanderley Fernandes Lima},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1553-1562},
Volume = {31},
Year = {2007},
Abstract = {Na ilha principal do Arquipélago de Fernando de Noronha, condições peculiares de clima tropical, com franco domínio oceânico, e material de origem de natureza vulcânica contribuem para formação de solos pouco desenvolvidos, de especial interesse científico, particularmente no que tange à reestruturação do Sistema Brasileiro de Classificação de Solos (SiBCS). Com o objetivo de estudá-los, foram caracterizados morfológica, física, química e mineralogicamente e classificados sete perfis de Neossolos de ocorrência comum nesse ambiente insular, sendo dois Litólicos, um ?Saprolítico?, três Regolíticos e um Flúvico. Os Neossolos Litólicos apresentam contato lítico constituído por fragmentos de rocha a menos de 50 cm de profundidade. O Neossolo ?Saprolítico? apresenta o contato lítico superior aos 50 cm de profundidade, porém precedido por rochas parcialmente decompostas (saprolito), que preservam ainda sua estrutura original. Os Neossolos Regolíticos estão relacionados aos depósitos sedimentares marinhos e são constituídos, predominantemente, por grãos bioclásticos carbonáticos. O Neossolo Flúvico, de origem colúvio-aluvial, apresenta camadas alternadas de materiais distintos, notoriamente, pela textura e mineralogia. Os Neossolos Litólicos foram adequadamente classificados segundo a nova versão do SiBCS (Embrapa, 2006), que inclui o subgrupo ?fragmentário?, sugerido durante o desenvolvimento deste trabalho. Os outros Neossolos não foram adequadamente enquadrados, ora por apresentarem características peculiares, ora pela ausência de termos mais apropriados, que melhor explicitassem suas características distintas. Sugere-se a inclusão no SiBCS da subordem dos Neossolos Saprolíticos, do grande grupo dos Neossolos Regolíticos Psamíticos, e dos subgrupos dos Neossolos Regolíticos Psamíticos bioclásticos carbonáticos e Neossolos Flúvicos Ta eutróficos bioclásticos carbonáticos.},
Keywords = {ilhas oceânicas brasileiras, taxonomia de solos, contato lítico, sedimento bioclástico},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/scielo.php?pid=S0100-06832007000600032&script=sci_abstract}
}
@Article{MarquesEtAl1997,
Title = {Adequação de métodos indiretos para estimativa da erodibilidade de solos com horizonte B textural no Brasil},
Author = {J. J. G. S. M. Marques and N. Curi and M. M. Ferreira and J. M. Lima and M. L. N. Silva and M. A. Carolino De Sá},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {447-456},
Volume = {21},
Year = {1997},
Abstract = {O conhecimento da erodibilidade dos solos (fator K) é de fundamental importância para a aplicação da equação universal de perdas de solo (EUPS). O objetivo deste trabalho foi verificar a adequação de diferentes métodos indiretos para estimativa da erodibilidade de solos com horizonte B textural (Bt) de várias regiões geográficas do Brasil. Coletaram-se amostras superficiais de 22 solos com Bt, cujo fator K foi determinado diretamente no campo. Realizaram-se diversas análises químicas e físicas, de modo que o fator K pudesse ser estimado por treze diferentes métodos indiretos. Correlacionaram-se os valores dos fatores K medidos no campo com os obtidos indiretamente. Verificou-se que nenhum dos métodos indiretos testados é adequado para a estimativa do fator K de todo o conjunto de solos com Bt estudados.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://sbcs.solos.ufv.br/solos/revistas/v21n3a14.pdf}
}
@Inbook{MarquesEtAl2005,
Title = {O magmatismo toleítico da bacia do {P}araná},
Address = {São Paulo},
Author = {Leila Soares Marques and Marcia Ernesto},
Booktitle = {Geologia do continente sul-americano: evolução da obra de {F}ernando {F}lávio {M}arques de {A}lmeida},
Editor = {Mantesso Neto, V. and Bartorelli, A. and Carneiro, C.D.R. and Neves, B.B.B.},
Pages = {245-263},
Publisher = {Beca},
Year = {2005}
}
@Article{Marques.JuniorEtAl2008,
Title = {Variabilidade espacial de matéria orgânica, P, K e CTC de um latossolo cultivado com cana-de-açúcar por longo período},
Author = {José Marques.Júnior and Zigomar Menezes Souza and Gener Tadeu Pereira and Diogo Mazza Barbieri},
Journal = {Revista de Biologia e Ciências da Terra},
Pages = {143-152},
Volume = {8},
Year = {2008},
Abstract = {Com o aumento dos custos na agricultura é fundamental o uso de tecnologias que permitam o uso racional de fertilizantes, evitando desperdícios e aumentando a eficiência das atividades agrícolas. Portanto, objetivou-se com este estudo avaliar a variabilidade espacial da matéria orgânica (MO), fósforo (P), potássio (K) e capacidade de troca catiônica (CTC) em duas profundidades de um Latossolo Vermelho eutroférrico cultivado com cana-de-açúcar por longo período. Os dados foram submetidos à análise estatística descritiva, geoestatística e krigagem. No terço inferiores da encosta após análise detalhada da variação do gradiente do declive, caracterizaram-se dois compartimentos da paisagem (I e II), sobre os quais os solos foram amostrados nos pontos de cruzamento de uma malha, com intervalos regulares de 50 m, perfazendo um total de 206 pontos, nas profundidades de 0,0-0,2 m e 0,6-0,8 m. Os maiores alcances foram observados na profundidade de 0,0-0,2 m para todas as variáveis estudadas, refletindo os efeitos do maior tempo de exposição dos horizontes superficiais ao intemperismo e/ou manejo químico dos solos. Pequenas variações nas formas do relevo propiciam variabilidade nos atributos químicos dos solos.},
Keywords = {geoestatística, relação solo-paisagem, krigagem},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.08.2009},
Url = {http://eduep.uepb.edu.br/rbct/sumarios/pdf/marquesjunior.pdf}
}
@Phdthesis{Martins2010,
Title = {Análise geoestatística de dados composicionais},
Author = {Ana Beatriz Tozzo Martins},
Pages = {204},
School = {Universidade Federal do Paraná, Curitiba, PR},
Year = {2010},
Owner = {Administrador},
Timestamp = {2011.08.18},
Url = {http://www.leg.ufpr.br/lib/exe/fetch.php/pessoais:abtmartins:teseanabeatriz310310.pdf}
}
@Mastersthesis{Martins2006,
Title = {Renderização em tempo real utilizando mapas de iluminação em alta precisão},
Address = {Rio de Janeiro},
Author = {Rodrigo Pereira Martins},
Pages = {99},
School = {Programa de Pós-Graduação em Informática - Pontífica Universidade Católica},
Year = {2006},
File = {Martins2006.pdf:Martins2006.pdf:PDF},
Keywords = {sensoriamento remoto;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.10},
Url = {http://www2.dbd.puc-rio.br/pergamum/tesesabertas/}
}
@Article{MarzaioliEtAl2010,
Title = {Soil quality in a Mediterranean area of Southern Italy as related to different land use types},
Author = {R. Marzaioli and R. D'Ascoli and R.A. De.Pascale and F.A. Rutigliano},
Journal = {Applied Soil Ecology},
Pages = {205 - 212},
Volume = {44},
Year = {2010},
Number = {3},
Abstract = {The impact of different land use types on soil quality was evaluated by measuring several soil properties that are sensitive to stress or disturbance and by using two synthetic approaches, i.e. a numerical quality index and multivariate analysis. A Minimum Data Set of soil indicators was selected including physical (texture, bulk density and water holding capacity), chemical (pH, cation exchange capacity, electrical conductivity, organic carbon, total and mineral nitrogen, available K, Ca, Mg, P contents and total Cd, Cr, Cu, Pb and Zn contents) and biological (microbial biomass, fungal mycelium, soil potential respiration and potentially mineralizable nitrogen) parameters. These parameters were assayed on soil samples collected with seasonal frequency (except for physical parameters, determined only in autumn) in an area of Southern Italy under different land use types (i.e. permanent crops, grazing lands, shrublands, coniferous and mixed forests). Moreover, for most of the land use types, a further distinction on the basis of topographic position (hill, middle-hill and plain) was carried out. Annual means of the data (except for texture) were used to calculate a soil quality index (SQI) and elaborated by multivariate analyses (Cluster Analysis and Principal Component Analysis, PCA) in order to distinguish among different soil quality classes. Data indicated a clear difference in soil quality among the studied areas: low soil quality (SQI < 0.55) in almost all permanent crops; intermediate soil quality (0.55 < SQI < 0.70) in shrublands, grazing lands, coniferous forest and middle-hill olive grove (the only crop with an herb layer on the soil surface); high soil quality (SQI > 0.70) in mixed forests. Results suggested that the permanent crop management had generally a strong negative impact on soil quality, while the moderate grazing activity and the crop management that leaves an herb cover on the soil had a lower negative impact. Nevertheless, the abandonment of cultivated lands, with consequent development of shrublands, produced an improvement of soil quality suggesting a good recovery capacity in the studied soil.},
Doi = {DOI: 10.1016/j.apsoil.2009.12.007},
File = {MarzaioliEtAl2010.pdf:Applied Soil Ecology/MarzaioliEtAl2010.pdf:PDF},
ISSN = {0929-1393},
Keywords = {Soil quality index},
Url = {http://www.sciencedirect.com/science/article/B6T4B-4Y64DFM-1/2/69d872225c1059332c0f8a86085bac6c}
}
@Article{MasekEtAl2006,
Title = {A Landsat Surface Reflectance Dataset for North America, 1990–2000},
Author = {Jeffrey G. Masek and Eric F. Vermote and Nazmi E. Saleous and Robert Wolfe and Forrest G. Hall and Karl F. Huemmrich and Feng Gao and Jonathan Kutler and Teng-Kui Lim},
Journal = {IEEE Geoscience and Remote Sensing Letters},
Pages = {68-72},
Volume = {3},
Year = {2006},
Number = {1},
Doi = {10.1109/LGRS.2005.857030},
File = {MasekEtAl2006.pdf:MasekEtAl2006.pdf:PDF},
Owner = {alessandro},
Timestamp = {08.12.2013}
}
@Article{MassukadoEtAl2006,
Title = {SIMGERE - software para avaliação de cenários de gestão integrada de resíduos sólidos domiciliares},
Author = {Luciana Miyoko Massukado and Viviana Maria Zanta},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {133-142},
Volume = {11},
Year = {2006},
Abstract = {Este artigo apresenta o desenvolvimento de um sistema de apoio à decisão como ferramenta para analisar diferentes cenários de gestão integrada de resíduos sólidos domiciliares. O SIMGERE, nome do software, foi desenvolvido para auxiliar as Administrações Públicas Municipais na gestão dos resíduos sólidos domiciliares por meio da simulação de cenários, mostrando os efeitos que poderão ocorrer a partir de possíveis mudanças nas estratégias da gestão. Para tanto, foi defi nido e delimitado o campo de trabalho do sistema de apoio à decisão seguindo-se para a construção do modelo conceitual com base no conhecimento adquirido na literatura pertinente, para depois traduzi-lo em telas de ação e fl uxogramas de decisão. Terminados estes procedimentos iniciou-se a codificação do modelo em linguagem de programação (Delphi 6.0). Paralelamente foram realizados testes de validação do sistema quanto a usabilidade e coerência, sendo os erros ajustados. Finalmente, foram gerados os arquivos executáveis do sistema para sua instalação e posterior disponibilização.},
File = {:Engenharia Sanitária e Ambiental/Massukado & Zanta_Eng Sanit Ambient_2005.pdf:PDF},
Keywords = {Gestão de resíduos sólidos, sistema de apoio à decisão, simulação de cenários, SIMGERE.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.abes-dn.org.br/publicacoes/engenharia/resaonline/v11n02/v11n02a02_019_05.pdf}
}
@Article{Massy1965,
Title = {Principal components regression in exploratory statistical research},
Author = {Massy, William F.},
Journal = {Journal of the American Statistical Association},
Pages = {234-256},
Volume = {60},
Year = {1965},
Number = {309},
Abstract = {Regression upon principal components of the percentage points of the income and education distributions for 1950 census tracts in the city of Chicago led to the estimation of "beta coefficient profiles" for television receiver and refrigerator ownership, for central heating system usage, and for a measure of dwelling unit overcrowding. The betas are standardized coefficients of regression of a dependent variable upon the proportions of families in the classes of the marginal income and education distributions. They measure the relative contribution of families in these classes to the over-all per cent saturation of the dependent variable in the tract. The coefficients were estimated by techniques developed in the first portion of the paper; estimation by classical regression methods would have been impossible because of multicollinearity. The empirical results are in substantial agreement with findings from regressions of the dependent variables upon the mean values of income and education, and their squares. The statistical devices appear to be useful in exploratory empirical research.},
Copyright = {Copyright © 1965 American Statistical Association},
File = {Massy1965.pdf:Massy1965.pdf:PDF},
ISSN = {01621459},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 1965},
Keywords = {principal component analysis; regression;},
Language = {English},
Owner = {alessandro},
Publisher = {American Statistical Association},
Timestamp = {25.06.2013},
Url = {http://www.jstor.org/stable/2283149}
}
@Book{Mather2004,
Title = {Computer processing of remotely-sensed images - an introduction},
Address = {Chichester},
Author = {Paul M. Mather},
Pages = {324},
Publisher = {John Wiley and Sons, Ltd},
Year = {2004},
Edition = {3},
File = {Mather2004.pdf:Mather2004.pdf:PDF},
Keywords = {redemds; filter; atmospheric correction; digital image processing; dip; Resampling;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.05}
}
@Book{Matheron1969,
Title = {Le krigeage universel},
Address = {Fontainebleau},
Author = {Matheron, Georges},
Pages = {83},
Publisher = {Ecole des Mines de Paris},
Year = {1969},
Edition = {1},
File = {Matheron1969.pdf:Book/Matheron1969.pdf:PDF},
Keywords = {redemds, geostatistics, regression-kriging},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.15}
}
@Article{Mato1999,
Title = {Environmental implications involving the establishment of sanitary landfills in five municipalities in Tanzania: the case of Tanga municipality},
Author = {R.R.A.M. Mato},
Journal = {Resources, Conservation and Recycling},
Pages = {1-16},
Volume = {25},
Year = {1999},
Keywords = {Solid waste; Environmental impact assessment; Groundwater pollution; Leachate; Municipality; Sanitary landfill; Public health; Tanzania},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S092134499800038X}
}
@Article{MatteiEtAl2007,
Title = {Composição gravimétrica de resíduos sólidos aterrados},
Author = {G. Mattei and P.A.V. Escosteguy},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {247-251},
Volume = {12},
Year = {2007},
File = {:Engenharia Sanitária e Ambiental/Mattei & Escosteguy_Eng Sanit Ambient_2007.pdf:PDF},
Keywords = {Caracterização de resíduos, aterro, reciclagem},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-41522007000300003}
}
@Article{Mauro2003,
Title = {Disaggregating local knowledge: the effects of gendered farming practices on soil fertility and soil reaction in SW Hungary},
Author = {S. Engel-Di Mauro},
Journal = {Geoderma},
Pages = {503?520},
Volume = {111},
Year = {2003},
Abstract = {Soil sampling and analysis of hydromorphic meadow soils were combined with semi-structured interviews to discern the multiple forms of local agricultural practices and knowledge in a community located in SW Hungary. Particular attention was extended to the role of gender in affecting soil management and knowledge and thereby soil reaction and fertility. The findings suggest that gender-specific forms of soil management directly alter soil status with lowered pH and macronutrient values in male-controlled cash-crop plots and excessive amounts of P2O5 on femalecontrolled subsistence plots. General soil classification likewise varied according to gender. To determine soil productivity potential, women mostly relied on a conventional economic index (the Gold Crown system) and general descriptive terminology, while men tended to be sensitised to soil texture. As the study is not based on an extensive survey, the results presented here should be considered preliminary and further expansion of interviews and soil sampling will be attempted in the future. These results nevertheless indicate that examining variability within local soil management systems is crucial to understanding anthropogenic impacts on soil dynamics.},
File = {:Geoderma/Mauro_Geoderma_2003.pdf:PDF},
Keywords = {Soil management; Local knowledge; Soil fertility; Cropping system; Gender; Hungary},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002793}
}
@Phdthesis{Maxell2009,
Title = {State-wide assessment of status, predicted distribution, and landscape-level habitat suitability of amphibians and reptiles in Montana},
Author = {Maxell, Bryce A.},
Pages = {294},
School = {Wildlife Biology Program, University of Montana},
Year = {2009},
File = {Maxell2009.pdf:Maxell2009.pdf:PDF},
Keywords = {vector ruggedness measure;},
Owner = {alessandro},
Timestamp = {29.05.2013}
}
@Article{May2003,
Title = {A note on the use of confidence intervals},
Author = {May, Kim},
Journal = {Understanding Statistics},
Pages = {133},
Volume = {2},
Year = {2003},
Abstract = {In the wake of repeated long-term criticism of blind reliance on simple hypothesis testing via an observed statistic and a p value, the American Psychological Association currently recommends including other methods such as reporting effect sizes, meta-analyses, graphical data presentation, and reporting confidence intervals (CIs). In this brief article, I first discuss some of the merits of reporting CIs and mention several sources that advocate the use if CIs, and I further elucidate their computation and interpretation in various circumstances. Second, I discuss a caveat regarding the use of CIs that apparently has not been widely recognized, although it is fairly obvious. The point to be made is that violation of assumptions that affect the tree value of ?(the probability of a Type I error) in a significance test will also affect the precision of the corresponding 100(1 - ?)% CI.},
Keywords = {Statistical hypothesis testing, meta-analysis, confidence intervals},
Owner = {Administrador},
Timestamp = {2011.01.04},
Url = {http://link.periodicos.capes.gov.br/sfxlcl3?url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&ctx_enc=info:ofi/enc:UTF-8&ctx_ver=Z39.88-2004&rfr_id=info:sid/sfxit.com:azlist&sfx.ignore_date_threshold=1&rft.object_id=111014393768028&rft.object_portfolio_id=&svc.fulltext=yes}
}
@Article{MaynardEtAl2014,
Title = {Scale-dependency of {LiDAR} derived terrain attributes in quantitative soil-landscape modeling: effects of grid resolution vs. neighborhood extent},
Author = {Maynard, J.J. and Johnson, M.G.},
Journal = {Geoderma},
Pages = {29–40},
Volume = {230-231},
Year = {2014},
Month = {Oct},
Doi = {10.1016/j.geoderma.2014.03.021},
File = {MaynardEtAl2014.pdf:MaynardEtAl2014.pdf:PDF},
ISSN = {0016-7061},
Keywords = {PhDpaper1},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@InCollection{MayrEtAl2006,
Title = {Digital Soil Mapping: An England and Wales Perspective},
Author = {Thomas Mayr and Bob Palmer},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {26},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {365 - 375, 618},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Growing demand for soil information at fine resolutions led to National Soil Resources Institute (NSRI) investigating environmental modelling as an alternative to traditional field surveys. Training data based on the existing records were subjected to data analysis to deduce modelling rules. Techniques were investigated for one nonglaciated and three glaciated terrains. Problems with several predictive data layers were identified. Very limited numbers of data layers were required to model spatial distribution of soils; and these were landscape driven. The success of extrapolation strategies was related to the extent of identified correspondences between trial and test areas. Relationships were more easily defined for nonglaciated areas.},
Doi = {DOI: 10.1016/S0166-2481(06)31026-4},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-19/2/b7b028d36029ddf6d816dcbab19bb754}
}
@Article{McBratneyEtAl2003,
Title = {On digital soil mapping},
Author = {A.B. McBratney and M.L. Mendonça-Santos and B. Minasny},
Journal = {Geoderma},
Pages = {3-52},
Volume = {117},
Year = {2003},
Abstract = {We review various recent approaches to making digital soil maps based on geographic information systems (GIS) data layers, note some commonalities and propose a generic framework for the future. We discuss the various methods that have been, or could be, used for fitting quantitative relationships between soil properties or classes and their ?environment?. These include generalised linear models, classification and regression trees, neural networks, fuzzy systems and geostatistics. We also review the data layers that have been, or could be, used to describe the ?environment?. Terrain attributes derived from digital elevation models, and spectral reflectance bands from satellite imagery, have been the most commonly used, but there is a large potential for new data layers. The generic framework, which we call the scorpan-SSPFe (soil spatial prediction function with spatially autocorrelated errors) method, is particularly relevant for those places where soil resource information is limited. It is based on the seven predictive scorpan factors, a generalisation of Jenny?s five factors, namely: (1) s: soil, other or previously measured attributes of the soil at a point; (2) c: climate, climatic properties of the environment at a point; (3) o: organisms, including land cover and natural vegetation; (4) r: topography, including terrain attributes and classes; (5) p: parent material, including lithology; (6) a: age, the time factor; (7) n: space, spatial or geographic position. Interactions (*) between these factors are also considered. The scorpan-SSPFe method essentially involves the following steps: (i) Define soil attribute(s) of interest and decide resolution q and block size b. (ii) Assemble data layers to represent Q. (iii) Spatial decomposition or lagging of data layers. (iv) Sampling of assembled data (Q) to obtain sampling sites. (v) GPS field sampling and laboratory analysis to obtain soil class or property data. (vi) Fit quantitative relationships (observing Ockham?s razor) with autocorrelated errors. (vii) Predict digital map. (viii) Field sampling and laboratory analysis for corroboration and quality testing. (ix) If necessary, simplify legend or decrease resolution by returning to (i) or improve map by returning to (v). Finally, possible applications, problems and improvements are discussed.},
Doi = {10.1016/S0016-7061(03)00223-4},
File = {:Geoderma/McBratney et al_Geoderma_2003.pdf:PDF},
Keywords = {Soil map; Soil survey; Digital map; Classification tree; DEM; DTM; GAM; Generalised linear model; Geophysics; Geostatistics; GIS; Neural network; Pedometrics; Pedotransfer function; Regression tree; Remote sensing; Soil spatial prediction function; Wavelets; globalsoilmap, redemds; hudson; Nyquist frequency; solo-paisagem; Jenny; PhDpaper1},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@InCollection{McBratneyEtAl2004,
Title = {Soil inference systems},
Author = {A. McBratney and B. Minasny},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {323 - 348},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30018-8},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-M/2/d92a309758ebc58da4b70788ed54501f}
}
@Article{McBratneyEtAl2007,
Title = {On measuring pedodiversity},
Author = {Alex McBratney and Budiman Minasny},
Journal = {Geoderma},
Pages = {149 - 154},
Volume = {141},
Year = {2007},
Number = {1-2},
Abstract = {Measures of taxa pedodiversity are discussed. It is argued that taxonomic distance needs to be incorporated into pedodiversity calculations to get an effective estimate. Various comparisons showed that the mean taxonomic distance, also called Rao's quadratic entropy, appears to be a good measure of pedodiversity. This index combines both information on the abundance and taxonomic distance between soil types.},
Doi = {DOI: 10.1016/j.geoderma.2007.05.012},
File = {:Geoderma/McBratney and Minasny_Geoderma_2007.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Pedodiversity}
}
@Article{McBratneyEtAl1981a,
Title = {The design of optimal sampling schemes for local estimation and mapping of regionalized variables. {II}: program and examples},
Author = {McBratney, A.B and Webster, R},
Journal = {Computers and Geosciences},
Pages = {335–365},
Volume = {7},
Year = {1981},
Month = {Jan},
Number = {4},
Doi = {10.1016/0098-3004(81)90078-9},
File = {McBratneyEtAl1981a.pdf:McBratneyEtAl1981a.pdf:PDF},
ISSN = {0098-3004},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{McBratneyEtAl1981,
Title = {The design of optimal sampling schemes for local estimation and mapping of of regionalized variables. {I}: theory and method},
Author = {McBratney, A.B. and Webster, R. and Burgess, T.M.},
Journal = {Computers \& Geosciences},
Pages = {331–334},
Volume = {7},
Year = {1981},
Month = {Jan},
Number = {4},
Doi = {10.1016/0098-3004(81)90077-7},
File = {McBratneyEtAl1981.pdf:McBratneyEtAl1981.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Spatial; Sampling; Design; Optimization; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Inproceedings{McBratneyEtAl1999,
Title = {A purposive sampling scheme for precision agriculture},
Author = {A.B. McBratney and B.M. Whelan and D.J.J. Walvoort and B. Minasny},
Booktitle = {Precision Agriculture '99},
Editor = {J.V. Stafford},
Pages = {101-110},
Publisher = {Sheffield Academic Press},
Year = {1999},
Address = {Sheffield},
Abstract = {Precision Agriculture brings the information revolution to agriculture. However, it is a fundamental requirement for the provision of quality information that a sufficient quantity relevant data has been previously obtained and analysed. For Precision Agriculture, the data sets will be required to embrace a range of crop, soil, landscape and other environmental attributes over significant areas. While there is no doubting the quantity/density of data obtainable from modern crop yield sensors, the quantity and density of data gathered on other important variables is less than optimal. The ultimate solution is the development of real-time sensors for these attributes. In the mean time, the conflict between manual sampling expense and sampling scheme resolution has lead to a grid sampling density for most attributes that fails to capture the true variability within a field. This dilemma must be overcome while the community awaits more technological solutions. Here a new formal method of spatial sampling, the variance quad-tree (VQT) method, is introduced. This scheme samples sparsely in uniform areas and more intensively where variation is large. This is motivated by a non-stationary covariance structure of the variables of interest. Previous work has shown this to be the case for spatial variation of crop yield. The method is equivalent to sampling on a regular grid in a transformed space, the method implicitly defining the transformation. Applications for the VQT method should include sampling for Digital Elevation Models (DEM), soil sampling and weed density estimation. The method is compared with grid sampling and ?smart? sampling methods.},
File = {McBratneyEtAl1999.pdf:Anais/McBratneyEtAl1999.pdf:PDF},
Keywords = {Spatial; Sampling; Design; Optimization; Pedometrics; DSM;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Inbook{McBratney2011,
Title = {Numerical approaches to a {U}niversal {S}oil {C}lassification {S}ystem},
Address = {West Lafayette},
Author = {Alex B McBratney},
Booktitle = {Universal {S}oil {C}lassification {S}ystem {V}ision {S}tatements},
Publisher = {United States Department of Agriculture. Natural Resources Conservation Service},
Year = {2011},
Month = {05},
File = {McBratney2011.pdf:McBratney2011.pdf:PDF},
HowPublished = {online},
Keywords = {redemds},
Language = {en-EN},
Organization = {IUSS and USDA-NRCS},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.02},
Url = {http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/class/?cid=nrcs142p2_053565}
}
@Article{McBratney2003,
Title = {Pedometrics in a sentence},
Author = {McBratney, A. B.},
Journal = {Pedometron},
Pages = {4-5},
Volume = {14},
Year = {2003},
File = {Heuvelink2003b.pdf:Heuvelink2003b.pdf:PDF},
Keywords = {redemds; concept;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2011.12.26}
}
@Article{McBratney1998,
Title = {Some considerations on methods for spatially aggregating and disaggregating soil information},
Author = {McBratney, Alex B},
Journal = {Nutrient Cycling in Agroecosystems},
Pages = {51-62},
Volume = {50},
Year = {1998},
Abstract = {Some possible approaches to the aggregation and disaggregation of soil data and information are presented as an opener to the more detailed discussion. The concepts of hierarchy, grain, extent, scale and variability are discussed. Slight modifications to the Hoosbeek-Bryant scheme to deal with spatial and temporal scales and various types of quantitative models are suggested. Approaches to aggregation or upscaling are reviewed. The contributions of representative elementary volume (REV), variograms, fractal theory, multi-resolution analysis using wavelets, critical point phenomena, renormalisation groups and transfer functions are discussed followed by a brief presentation of some ecological approaches including extrapolation by lumping, extrapolation by increasing model extent and extrapolation by explicit integration. A clear distinction must be made between additive and non-additive variables. The scaling of the former is much less problematic than the latter. Corroboration of any approach by testing against the aggregated values seems problematic. Methods of disaggregation or downscaling including transfer functions, mass-preserving or pycnophylactic methods are also discussed. In order to make quantitative advances, nested sampling or reanalysis of data in land information systems to obtain variance information over a complete range of scales is required. Finally an appeal is made for work to begin on a quantitative scale-explicit theory of soil variation.},
Doi = {10.1023/A:1009778500412},
File = {McBratney1998.pdf:McBratney1998.pdf:PDF},
Keywords = {redemds, upscaling, downscaling, aggregation, disaggregation, soil variability, wavelets, fractals, grain, extent}
}
@Article{McBratneyEtAl2002,
Title = {From pedotransfer functions to soil inference systems},
Author = {Alex B McBratney and Budiman Minasny and Stephen R Cattle and R.Willem Vervoort},
Journal = {Geoderma},
Pages = {41 - 73},
Volume = {109},
Year = {2002},
Number = {1-2},
Abstract = {Pedotransfer functions (PTFs) have become a ?white-hot? topic in the area of soil science and environmental research. Most current PTF research focuses only on the development of new functions for predicting soil physical and chemical properties for different geographical areas or soil types while there are also efforts to collate and use the available PTFs. This paper reviews the brief history of the use of pedotransfer functions and discusses types of PTFs that exist. Different approaches to developing PTFs are considered and we suggest some principles for developing and using PTFs. We propose the concept of the soil inference systems (SINFERS), where pedotransfer functions are the knowledge rules for inference engines. A soil inference system takes measurements we more-or-less know with a given level of (un)certainty, and infers data that we do not know with minimal inaccuracy, by means of properly and logically conjoined pedotransfer functions. The soil inference system has a source, an organiser and a predictor. The sources of knowledge to predict soil properties are collections of pedotransfer functions and soil databases. The organiser arranges and categorises the PTFs with respect to their required inputs and the soil types from which they were generated. The inference engine is a collection of logical rules selecting the PTFs with the minimum variance. Uncertainty of the prediction can be assessed using Monte Carlo simulations. The inference system will return the predictions of soil physical and chemical properties with their uncertainties based on the information provided. Uncertainty in the prediction can be quantified in terms of the model uncertainty and input data uncertainty. In order to avoid extrapolation, a method was developed to quantify the degree of belonging of a soil sample within the training set of a PTF. With the first approach to a soil inference system, we can optimally predict various important physical and chemical properties from the information we have utilising PTFs as the knowledge rules.},
Doi = {10.1016/S0016-7061(02)00139-8},
File = {:Geoderma/McBratney et al_Geoderma_2002.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Expert systems}
}
@Article{McBratneyEtAl2011,
Title = {Necessary meta-data for pedotransfer functions},
Author = {Alex B. McBratney and Budiman Minasny and Grant Tranter},
Journal = {Geoderma},
Pages = {627 - 629},
Volume = {160},
Year = {2011},
Number = {3-4},
Abstract = {Although pedotransfer functions have been published for more than 25 years, most published functions have very little information on the functions themselves and where they can be used. In this paper, we recommend 3 tables to accompany every published PTF so that users can decide whether they can potentially use a published PTF on their data. The first table contains the information and statistics of the training data. The second table provides information and statistics about the variable to be predicted on the calibration set. The third table contains the statistics of the validation data. Furthermore, the function should be expressed, and uncertainty measures of the function should also be included.},
Doi = {10.1016/j.geoderma.2010.09.023},
File = {:Geoderma/McBratney et al_Geoderma_2011.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Soil modeling}
}
@Article{McBratneyEtAl2000,
Title = {An overview of pedometric techniques for use in soil survey},
Author = {Alex B. McBratney and Inakwu O.A. Odeh and Thomas F.A. Bishop and Marian S. Dunbar and Tamara M. Shatar},
Journal = {Geoderma},
Pages = {293-327},
Volume = {97},
Year = {2000},
Abstract = {Quantitative techniques for spatial prediction in soil survey are developing apace. They generally derive from geostatistics and modern statistics. The recent developments in geostatistics are reviewed particularly with respect to non-linear methods and the use of all types of ancillary information. Additionally analysis based on non-stationarity of a variable and the use of ancillary information are demonstrated as encompassing modern regression techniques, including generalised linear modelsGLM., generalised additive modelsGAM., classification and regression treesRT.and neural networksNN.. Three resolutions of interest are discussed. Case studies are used to illustrate different pedometric techniques, and a variety of ancillary data. The case studies focus on predicting different soil properties and classifying soil in an area into soil classes defined a priori. Different techniques produced different error of interpolation. Hybrid methods such as CLORPT with geostatistics offer powerful spatial prediction methods, especially up to the catchment and regional extent. It is shown that the use of each pedometric technique depends on the purpose of the survey and the accuracy required of the final product.},
Doi = {10.1016/S0016-7061(00)00043-4},
File = {McBratneyEtAl2000.pdf:McBratneyEtAl2000.pdf:PDF},
Keywords = {soil science, soil survey, pedometrics, soil geostatistics, spatial prediction, generalised additive models, regression trees; PhDpaper1},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{McbratneyEtAl1986,
Title = {Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates},
Author = {Mcbratney, A. B. and Webster, R.},
Journal = {Journal of Soil Science},
Pages = {617-639},
Volume = {37},
Year = {1986},
Month = {Dec},
Number = {4},
Doi = {10.1111/j.1365-2389.1986.tb00392.x},
File = {McbratneyEtAl1986.pdf:McbratneyEtAl1986.pdf:PDF},
ISSN = {0022-4588},
Keywords = {Sampling; Optimization; Design; Spatial; Pedometrics; DSM;},
Owner = {alessandro}
}
@Article{McCormackEtAl1969,
Title = {Variation of soil properties within mapping units of soils with contrasting substrata in northwestern Ohio},
Author = {McCormack, D.E. and Wilding, L.P.},
Journal = {Soil Science Society of America Proceedings},
Pages = {587-593},
Volume = {33},
Year = {1969},
Abstract = {Variation of soil properties within mapping units of Seward, Rimer, Wauseon, Rawson, Haskins, and Mermill soils in north- western Ohio was statistically summarized. These series have sandy or loamy upper sola that overlie a fine-textured sub- strata. Ten randomly selected profiles within each of 22 deline- ations of these soils were characterized by field study. Standard deviation, standard error of the mean, and coefficient of varia- tion were computed for each of 48 selected properties. The most variable properties were depth to mottling, depth to fine- textured discontinuity, horizon thickness, texture, and chroma of the B2t horizon, percent of mottles having chromas of two or less, and grade of structure. Hue, value, and pH of all hori- zons, texture of the IIB horizon, and size and shape of struc- ture were the least variable. 54% of the profiles had IIB horizons in areas mapped as soils in which this horizon was lacking; 78% had IIB horizons in areas mapped as soils having this horizon. Little difference in other properties was noted between areas mapped as soils representing the two conditions. These soils were correctly classified with regard to soil series at 37% of the 220 observations. Careful study in such complex areas is essential before establishing a legend.},
File = {McCormackEtAl1969.pdf:Soil Science Society of America Journal/McCormackEtAl1969.pdf:PDF},
Keywords = {purity},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.03}
}
@Book{McCullaghEtAl1989,
Title = {Generalized linear models},
Author = {P. McCullagh And J.A. Nelder},
Pages = {525},
Publisher = {London: Chapman and Hall},
Year = {1989},
Edition = {2},
Abstract = {This monograph deals with a class of statistical models that generalizes classical linear models to include many other models that have been found useful in statistical analysis. These other models include log-linear models for the analysis of data in the form of counts, probit and logit models for data in the form of proportions (ratios of counts), and models for continuous data with constant proportional standard error. In addition, important types of models for survival data are covered by the class. An important aspect of the generalization is the presence in all the models of a linear predictor based on a linear combination of explanatory or stimulus variables. The variables may be continuous or categorical (or indeed a mixture of the two), and the existence of a linear predictor means that the concepts of classical regression and analysis-of-variance models, insofar as they refer to the estimation of parameters in a linear predictor, carry across directly to the wider class of model. In particular, the ideas underlying factorial models, including those of additivity, interaction, polynomial contrasts, aliasing, etc., all appear in the wider context. Generalized linear models have a common algorithm for the estimation of parameters by maximum likelihood; this uses weighted least squares with an adjusted dependent variate, and does not require preliminary guesses to be made of the parameter values. The book is aimed at applied statisticians and postgraduate students in statistics, but will be most useful, at least in part, to undergraduates and to numerate biologists. More mathematical sections are marked with asterisks and may be omitted at first reading. Some mathematics has been relegated to the first four appendices, while the fifth contains information on computer software for the fitting of generalized linear models. The book requires the reader to have a knowledge of matrix theory, including generalized inverses, together with basic ideas of probability theory, including orders of magnitude in probability. As far as possible, however, the development is self-contained, though necessarily fairly condensed because of the constraints on a monograph in this series. Further reading is giv€n in the bibliographic sections of various chapters, and the theory is illustrated with a diverse set of worked examples. We are grateful to Professor J.V. Zidek of the University of British Columbia and to the Natural Sciences and Engineering Research Council, Canada, for the opportunity to undertake an intensive spell of writing. For permission to use previously unpublished data, we wish to thank Dr Graeme Newell, Lloyds Register of Shipping, and Drs P.M. Morse, K.S. McKinlay and D.T. Spurr. We are grateful to Miss Lilian Robertson for her careful preparation of the manuscript.},
File = {McCullaghEtAl1989.pdf:Book/McCullaghEtAl1989.pdf:PDF},
Keywords = {linear model; regression; glm;},
Owner = {Administrador},
Timestamp = {2011.02.01}
}
@Article{McDonald2002,
Title = {A teaching note on Cook's distance - a guideline},
Author = {McDonald, B.},
Journal = {Research Letters in the Information and Mathematical Sciences},
Pages = {127-128},
Volume = {3},
Year = {2002},
Abstract = {Cook’s Distance (Di) is used for assessing influence in regression models. The usual criterion is that a point is influential if Di exceeds the median of the Fp,n-p distribution, where p is the number of regression parameters. The practice developed here at Massey Albany is to teach the guideline Di>0.7 for p=2, Di> 0.8 for p=3, Di> 0.85 for p>3, where n≥15. It is not known if this guideline is used elsewhere. Teaching Guideline Cook’s Distance (Di) is an influence measure based on the difference between the regression parameter estimates β ˆ and what they become if the ith data point is deleted, β −i ˆ , say. There are numerical rules for assessing Cook’s Di but the rules tend to be rough guidelines, and textbook authors differ in their advice. The most common criterion quoted around the world appears to be to declare the ith point influential if Di exceeds the median of the Fp, n-p distribution, where p is the number of regression coefficients (including the intercept) and n the number of data. This guideline is justified on a mixture of theoretical and practical grounds. However Fp,n-p(0.5) is seldom tabulated, and needs to be computed for each situation, which seems unnecessary effort for a rough-and-ready guideline.},
File = {:Res Lett Inf Math Sci/McDonald_Res Lett Inf Math Sci_2002.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.05.01},
Url = {http://www.massey.ac.nz/~wwiims/research/letters/volume3number1/macdonald.pdf}
}
@Article{McGrathEtAl2004,
Title = {Geostatistical analyses and hazard assessment on soil lead in Silvermines area, Ireland},
Author = {David McGrath and Chaosheng Zhang and Owen T. Carton},
Journal = {Environmental Pollution},
Pages = {239-248},
Volume = {127},
Year = {2004},
Abstract = {Spatial distribution and hazard assessment of soil lead in the mining site of Silvermines, Ireland, were investigated using statistics, geostatistics and geographic information system (GIS) techniques. Positively skewed distribution and possible outlying values of Pb and other heavy metals were observed. Box?Cox transformation was applied in order to achieve normality in the data set and to reduce the effect of outliers. Geostatistical analyses were carried out, including calculation of experimental variograms and model fitting. The ordinary point kriging estimates of Pb concentration were mapped. Kriging standard deviations were regarded as the standard deviations of the interpolated pixel values, and a second map was produced, that quantified the probability of Pb concentration higher than a threshold value of 1000 mg/kg. These maps provide valuable information for hazard assessment and for decision support.},
Doi = {10.1016/j.envpol.2003.07.002},
File = {:Environmental Pollution/McGrath et al_Environ Pollut_2004.pdf:PDF},
Keywords = {Geostatistics; Box-Cox transformation; Kriging standard deviation; Lead; Probability map; Hazard assessment},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{McGreeEtAl2008,
Title = {Compound optimal design criteria for nonlinear models},
Author = {McGree, J. M. and Eccleston, J. A. and Duffull, S. B.},
Journal = {Journal of Biopharmaceutical Statistics},
Pages = {646–661},
Volume = {18},
Year = {2008},
Month = {Jul},
Number = {4},
Doi = {10.1080/10543400802071352},
File = {McGreeEtAl2008.pdf:McGreeEtAl2008.pdf:PDF},
ISSN = {1520-5711},
Owner = {alessandro},
Publisher = {Informa UK Limited}
}
@Article{McIntyreEtAl2005,
Title = {Hockey sticks, principal components, and spurious significance},
Author = {Stephen McIntyre and Ross McKitrick},
Journal = {Geophysical Research Letters},
Pages = {5},
Volume = {32},
Year = {2005},
Abstract = {The ?hockey stick? shaped temperature reconstruction of Mann et al. (1998, 1999) has been widely applied. However it has not been previously noted in print that, prior to their principal components (PCs) analysis on tree ring networks, they carried out an unusual data transformation which strongly affects the resulting PCs. Their method, when tested on persistent red noise, nearly always produces a hockey stick shaped first principal component (PC1) and overstates the first eigenvalue. In the controversial 15th century period, the MBH98 method effectively selects only one species (bristlecone pine) into the critical North American PC1, making it implausible to describe it as the ?dominant pattern of variance?. Through Monte Carlo analysis, we show that MBH98 benchmarks for significance of the Reduction of Error (RE) statistic are substantially under-stated and, using a range of cross-validation statistics, we show that the MBH98 15th century reconstruction lacks statistical significance.},
Doi = {10.1029/2004GL021750},
File = {McIntyreEtAl2005.pdf:Geophysical Research Letters/McIntyreEtAl2005.pdf:PDF},
Keywords = {redemds, pca},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.17},
Url = {http://www.agu.org/pubs/crossref/2005/2004GL021750.shtml}
}
@Inproceedings{McKay1992,
Title = {Latin hypercube sampling as a tool in uncertainty analysis of computer models},
Author = {McKay, Michael D.},
Booktitle = {Proceedings of the 24th Conference on Winter simulation},
Pages = {557-564},
Publisher = {ACM},
Year = {1992},
Address = {New York},
Series = {WSC '92},
Acmid = {167637},
Doi = {10.1145/167293.167637},
File = {McKay1992.pdf:McKay1992.pdf:PDF},
ISBN = {0-7803-0798-4},
Keywords = {redemds; Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Location = {Arlington, Virginia, United States},
Numpages = {8},
Url = {http://doi.acm.org/10.1145/167293.167637}
}
@Article{McKayEtAl1979,
Title = {A comparison of three methods for selecting values of input variables in the analysis of output from a computer code},
Author = {McKay, M. D. and Beckman, R. J. and Conover, W. J.},
Journal = {Technometrics},
Pages = {239-245},
Volume = {21},
Year = {1979},
Number = {2},
Abstract = {Two types of sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies. These plans are shown to be improvements over simple random sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.},
Copyright = {Copyright © 1979 American Statistical Association and American Society for Quality},
Doi = {10.2307/1268522},
File = {McKayEtAl1979.pdf:McKayEtAl1979.pdf:PDF},
ISSN = {00401706},
Jstor_articletype = {research-article},
Jstor_formatteddate = {May, 1979},
Keywords = {redemds; Latin; Hypercube; Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Language = {English},
Publisher = {American Statistical Association and American Society for Quality}
}
@Inproceedings{McKayEtAl1992,
Title = {An alternative view of sensitivity in the analysis of computer codes},
Author = {Michael D. McKay and Richard J. Beckman and Leslie M. Moore and Richard R. Picard},
Booktitle = {Proceedings of the Section on Physical and Engineering Sciences of the American Statistical Association},
Pages = {87--92},
Year = {1992},
File = {McKayEtAl1992.pdf:McKayEtAl1992.pdf:PDF},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.195.6023}
}
@Article{McKeagueEtAl1971,
Title = {Differentiation of forms of extractable iron and aluminum in soils},
Author = {J. A. McKeague and J. E. Brydon and N. M. Mile},
Journal = {Soil Science Society of America Journal},
Pages = {33-38},
Volume = {35},
Year = {1971},
Abstract = {The approximate differentiation of crystalline and amorphous iron oxide in soils by extraction methods can be extended to a distinction between organic-complexed and amorphous in- organic Fe. Data for synthetic Fe-fulvic acid complexes, X-amorphous hydrous Fe oxide, crystalline Fe oxides and soils show that the Fe extracted by 0.1M Na 4 P 2 O 7 is largely organic Fe. The difference between oxalate- and pyrophosphate- extractable Fe gives a measure of amorphous inorganic Fe, and dithionite- minus oxalate-extractable Fe provides an esti- mate of more or less crystalline Fe-oxides. These extractants are less useful in distinguishing forms of Al in soils. Spodic horizons contained much more pyrophosphate-extract- able Fe and Al than other soil materials. A criterion for spodic horizons could be based upon pyrophosphate-extractable Al, Fe, and possibly C. The rusty mottles of several Aquepts and Aqualfs and some placic horizons low in organic matter con- tained goethite as well as amorphous inorganic Fe. Hematite occurred in some reddish-brown parent materials having a igh ratio of dithionite- to oxalate-extractable Fe, but mottles formed in these soils contained secondary goethite.},
Doi = {10.2136/sssaj1971.03615995003500010016x},
File = {McKeagueEtAl1971.pdf:Soil Science Society of America Journal/McKeagueEtAl1971.pdf:PDF},
Groups = {public},
Intrahash = {The body part of the received document is not valid: tag name contains space character. To assign several tags to a post, please use one tag element for each tag.},
Keywords = {iron_oxides},
Timestamp = {2010.12.31},
Username = {samuel-rosa}
}
@Article{McKeagueEtAl1966,
Title = {Dithionite- and oxalate-extractable Fe and Al as aids in differentiating various classes of soils},
Author = {J A McKeague and J H Day},
Journal = {Canadian Journal of Soil Science},
Pages = {13-22},
Volume = {46},
Year = {1966},
Abstract = {Iron and aluminum u'erc determined in acid anmonium oxalate extracts and in dithionite-citrate-bicarbonate extracts of a rvide range of Canadian soils, several oxide and silicate minerals, and sone amorphous preparations of iron or aluminum and silica. Thc oxalate extraction dissolved much of the iron and aluminum from the amorphous materials but very iittle from crystalline oxides, whereas the dithionite exrraction dissolved a large proportion of the crystalline iron oxides as rvell as much of the amorohous materials. Oxalate-extractable iron and alunrinum gavc a useful indication of Bf horizon developntent in many-soils. even if tl-re oarent naterials rvere hish in iron oxides. In one class of Gleysolic soils, howevcr, the Bfg horizons-were high in dithionite-extractable iron and low'in oxalate-extractibl" irotr. An accimulation of goethite was found in the Bfg horizon of some of these soils- In some other Gleysolic soils iron was deoleted in the A horizon but there was no horizon of iron accumulation. Extrattior-r of soils with oxalate as u'ell as with dithionite is useful in differcntiating certain classes of soils and in identifying horizons of accumulation of secondary sesquioxides.},
File = {McKeagueEtAl1966.pdf:Canadian Journal of Soil Science/McKeagueEtAl1966.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVZDU2MWFmNTQtNTJiNC00NjBkLTgyY2ItYzQyOGQyYmU4Mjc0&hl=en&authkey=CLmZzbAD}
}
@Article{McKenzieEtAl1993,
Title = {A quantitative {Australian} approach to medium and small scale surveys based on soil stratigraphy and environmental correlation},
Author = {N.J. McKenzie and M.P. Austin},
Journal = {Geoderma},
Pages = {329 - 355},
Volume = {57},
Year = {1993},
Number = {4},
Abstract = {Current methods of soil survey and land evaluation are based on transfer by analogy and results can be limited by the quality of the classification system used for mapping. Parametric soil survey is an alternative where predictions of individual soil characteristics and qualities, rather than soil types, are provided for the complete survey area. Predictions can be derived from either local soil classifications or interpolation and surface fitting procedures. The feasibility for a third approach to parametric survey has been investigated using data from the lower Macquarie Valley, NSW, Australia. Soil characteristics were predicted using generalized linear models with more readily observed environmental variables as predictors. These variables (e.g. geomorphic unit, local relief, etc.) are related to pedologic factors controlling soil distribution. A large percentage of variation for most soil characteristics was accounted for by pedoderms which were mapped using stratigraphic relationships determined in the field and by air photo interpretation. (Variation accounted for in the A horizon: clay content = 63.9%, CEC = 66.5%, EC = 26.5%, pH = 43.0%, bulk density = 33.3%, COLE = 61.2%, ?10 kPa gravimetric water content = 66.4%, ?1.5 MPa gravimetric water content = 64.0%; B horizon: clay content = 34.9%, CEC = 58.2%, ESP = 41.5%, EC = 17.2%, pH = 33.3%, bulk density = 32.1%, COLE = 59.9%, ?10 kPa gravimetric water content = 55.5%, ?1.5 MPa gravimetric water content = 39.8%). Within-pedoderm statistical models were developed with landform as an explanatory for several units and these further improved predictions. The potential of the approach in routine soil survey is discussed and the advantages of generalized linear models for analysing survey data are noted.},
Doi = {10.1016/0016-7061(93)90049-Q},
File = {McKenzieEtAl1993.pdf:McKenzieEtAl1993.pdf:PDF},
ISSN = {0016-7061},
Keywords = {redemds},
Url = {http://www.sciencedirect.com/science/article/pii/001670619390049Q}
}
@Book{McKenzieEtAl2008,
Title = {Guidelines for surveying soil and land resources},
Address = {Melbourne},
Author = {N.J. McKenzie and M.J. Grundy and R. Webster and A.J. Ringrose-Voase},
Pages = {576},
Publisher = {CSIRO Publishing},
Year = {2008},
Edition = {2},
Abstract = {Guidelines for Surveying Soil and Land Resources promotes the development and implementation of consistent methods and standards for conducting soil and land resource surveys in Australia. These surveys are primarily field operations that aim to identify, describe, map and evaluate the various kinds of soil or land resources in specific areas. The advent of geographic information systems, global positioning systems, airborne gamma radiometric remote sensing, digital terrain analysis, simulation modelling, efficient statistical analysis and internet-based delivery of information has dramatically changed the scene in the past two decades. As successor to the Australian Soil and Land Survey Handbook: Guidelines for Conducting Surveys, this authoritative guide incorporates these new methods and techniques for supporting natural resource management. Soil and land resource surveyors, engineering and environmental consultants, commissioners of surveys and funding agencies will benefit from the practical information provided on how best to use the new technologies that have been developed, as will professionals in the spatial sciences such as geomorphology, ecology and hydrology.},
File = {McKenzieEtAl2008.pdf:Book/McKenzieEtAl2008.pdf:PDF},
Keywords = {redemds, lumper; land concept; Nyquist frequency;},
Owner = {pccli},
Timestamp = {2011.12.12},
Url = {http://www.publish.csiro.au/pid/5650.htm}
}
@InCollection{MckenzieEtAl2006,
Title = {Digital soil mapping with improved environmental predictors and models of pedogenesis},
Author = {Neil J. Mckenzie and John C. Gallant},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {24},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {327 - 349},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Conventional and quantitative methods require synthesis for digital soil mapping to reach its full potential, particularly when survey extents are large (i.e. >10,000 km2), data are sparse and resources are limited. One of the challenges is to express narratives of pedogenesis in an explicit form that can be incorporated into digital soil mapping. We present an applied example where such a narrative is developed - it emphasizes landscape history, provenance of soil parent materials and pedogenic process. The narrative is then expressed as rules that are used to produce digital soil maps. The rules are parsimonious; they encourage testing and enable spatial prediction; and are easy to update. The rules rely on just a few terrain and geophysical variables. We demonstrate how a new terrain variable, the multiresolution valley-bottom flatness (MrVBF) index, can be used with the familiar topographic wetness index (TWI), to map geomorphic and soil features.},
Doi = {DOI: 10.1016/S0166-2481(06)31024-0},
ISSN = {0166-2481},
Keywords = {redemds},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-16/2/6e9c4fd649231554e34c769d9c1caa10}
}
@Article{McKenzieEtAl1999,
Title = {Spatial prediction of soil properties using environmental correlation},
Author = {Neil J. McKenzie and Philip J. Ryan},
Journal = {Geoderma},
Pages = {67-94},
Volume = {89},
Year = {1999},
Doi = {10.1016/S0016-7061(98)00137-2},
File = {McKenzieEtAl1999.pdf:McKenzieEtAl1999.pdf:PDF},
Keywords = {digital terrain model; digital elevation model; soil sampling; soil survey; soil carbon; soil depth; total phosphorus; classification and regression trees; spatial prediction; Compound Topographic Index, redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Book{McKillupEtAl2010,
Title = {Geostatistics explained - an introductory guide for earth scientists},
Author = {Steve McKillup and Melinda Darby Dyar},
Pages = {396},
Publisher = {Cambridge, UK: Cambridge University Press},
Year = {2010},
Edition = {1},
File = {McKillupEtAl2010.pdf:Book/McKillupEtAl2010.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{McSweeneyEtAl1984,
Title = {Soil structure and associated rooting behavior in minesoils},
Author = {K. McSweeney and I. J . Jansen},
Journal = {Soil Science Society of America Journal},
Pages = {607-612},
Volume = {48},
Year = {1984},
Abstract = {The objective of this study was to identify and describe soil struc-tural patterns and rooting behavior in reclaimed minesoiis. The soil chosen for this study consists of approximately 0.4 m of topsoil (A horizon) material placed on approximately 1.5 m of 8 blend of B horizon, mixed paleoloesses Sangamon paieosol, and Illinoian till. Four soil pits were excavated, exposing root systems of the corn test crop. Detailed soil and root pattern descriptions were made in each pit. Root patterns were depicted using the profile wall method. An o u t l i n e o f s o i l structural pattern was superimposed over the root pattern to provide a pictorial relationship between the two. Differences in the physical condition of subsoils were distinguished on the basis of the soil descriptions and statistical analysis of the root length determinations. An artificial soil structure was characterized and attributed to particular mining and reclamation practices. The struc- tural arrangement consists of rounded aggregates loosely com- pressed together, that fall within the size classes currently used forblocklike and polyhedral aggregates Plant rooting was distinctly more profuse where this structure was present than where the ssoil material was massive and compact. It is proposed that structural differences among newly constructed soils are of such significance that they should he carefully characterized and described, and what appropriate used for series level separations. Operations using a mining wheel in combination with belt transportation favor tbe formation of the more desirable fritted structure whereas operations using scrapcn exclusively favor the formation of the less desirable massive pbysial condition.},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVOWI3ZDMwMzktYjM5Yi00YmQzLWFhZTQtMTQ1MDkxM2ViMmQ5&hl=en&authkey=CIStoPUI}
}
@Article{Mebius1960,
Title = {A rapid method for the determination of organic carbon in soil},
Author = {L.J. Mebius},
Journal = {Analytica Chimica Acta},
Pages = {120 - 124},
Volume = {22},
Year = {1960},
Number = {0},
Abstract = {TIURIN'S method for the determination of organic carbon in soil is modified to give results practically identical with those of the dry combustion method. The standard deviation of a single determination is only 12%. By using 50 mg of soil and 10 ml of 0.2 N dichromate solution, soils with a carbon, content up to 12% can bo analysed. The method is suitable for all soils except those containing much chloride or reducing substances other than organic carbon Carbonates do not interfere.},
Doi = {10.1016/S0003-2670(00)88254-9},
File = {Mebius1960.pdf:analytica_chimica_acta/Mebius1960.pdf:PDF},
ISSN = {0003-2670}
}
@Article{MeerschmanEtAl2013,
Title = {Mapping complex soil patterns with multiple-point geostatistics},
Author = {Meerschman, E. and Van Meirvenne, M. and Van De Vijver, E. and De Smedt, P. and Islam, M. M. and Saey, T.},
Journal = {European Journal of Soil Science},
Pages = {183-191},
Volume = {64},
Year = {2013},
Month = {Mar},
Number = {2},
Doi = {10.1111/ejss.12033},
File = {MeerschmanEtAl2013.pdf:MeerschmanEtAl2013.pdf:PDF},
ISSN = {1351-0754},
Keywords = {Best Paper in Pedometrics 2013;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{MehlEtAl2001,
Title = {Caracterização de padrões de chuvas ocorrentes em {S}anta {M}aria ({RS})},
Author = {Mehl, H. U. and Eltz, F. L. F. and Reichert, J. M. and Didone, I. A.},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {475-483},
Volume = {25},
Year = {2001},
Number = {2},
Abstract = {Rainfall characteristics may determine most of the harmful effects of soil erosion. Intensity variation during a rainfall is one of these important rainfall characteristics. However, there is a lack of information about rainfall patterns that occur in Brazil. This research had as objectives the determination of natural erosive rainfalls patterns verified in Santa Maria (RS), and the estimation of rainfall return period for the three patterns proposed. Daily rainfall charts were obtained from the Research Center of Forestry and Soil Conservation, of FEPAGRO, from 1963 to 1989 and from 1991 to 1992. Rainfalls were classified in advanced, intermediary and delayed patterns, according to their maximum intensity peak position and afterwards, the rainfall return period for each rainfall pattern was estimated. Some interesting characteristics were calculated, such as the mean intensity peaks, duration of rainfalls and peaks with intensity over 100 mm h-1. Out of the 1193 natural erosive rainfalls analyzed, the advanced, intermediary and delayed patterns had 551, 295 and 347 rainfalls, corresponding to 46,2; 24,7 and 29,1% of the total number of rainfalls, respectively. This characterizes the advanced pattern as the most frequent rainfall pattern in Santa Maria. From the 79 rainfalls with intensity peak greater than 100 mm h-1, the advanced, intermediary and delayed pattern had 45, 18 and 16 rainfalls, corresponding to 8,2; 6,1 and 4,6% ofthe total number of rain falls. The mean duration of rain falls with peaks greater than 100 mm h-1 was of 8 hours, and mean peak duration was 6 minutes and 50 seconds. For the estimation of return periods, the maximum rainfall amount in 10, 20, 30, 60, 120, 240 and 480 minutes during the 29 years studied were identified, for the three rainfall patterns defined before. The maximum intensity values found for the specified duration were submitted to a computer program, and the extreme distribution type I had the best fit to the data. The return periods of 2, 5, 10, 20 50 and 100 years for the studied rainfall duration were calculated and intensity-duration-frequency curves were built for the three above-mentioned rainfall patterns.},
File = {MehlEtAl2001.pdf:MehlEtAl2001.pdf:PDF},
Keywords = {DNOS; redemds;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.10},
Url = {http://sbcs.solos.ufv.br/solos/revistas/v25n2a23.pdf}
}
@Techreport{Mehlich1953,
Title = {Determination of P, Ca, Mg, K, Na and NH4},
Address = {Raleigh},
Author = {Mehlich, A.},
Pages = {8},
Publisher = {Soil Testing Division, Department of Agriculture},
Year = {1953},
Note = {(S.T.D.P. No. 1-53)},
File = {Mehlich1953.pdf:Mehlich1953.pdf:PDF},
Institution = {North Carolina Soil Testing Division},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.31},
Url = {http://ncagr.gov/agronomi/pdffiles/mehlich53.pdf}
}
@Inproceedings{MehraEtAl1960,
Title = {Iron oxide removal from soils and clays by a dithionite-citrate system buffered with sodium bicarbonate},
Author = {O P Mehra and M L Jackson},
Booktitle = {Proceedings of the National Conference on Clays and Clay Minerals},
Pages = {317-327},
Publisher = {Pergamon},
Year = {1960},
Address = {New York},
Abstract = {The oxidation potential of dithionite (NaS204) increases from 0.37 V to 0.73 V with increase in pH from 6 to 9, because hydroxyl is consumed during oxidation of dithionite. At the same time the amount of iron oxide dissolved in 15 minutes falls off (from 100 percent to less than 1 per cent extracted) with increase in pH from 6 to 12 owing to solubility product relationships of iron oxides. An optimum pH for maximum reaction kinetics occurs at approximately pH 7.3. A buffer is needed to hold the pH at the optimum level because 4 moles of OH are used up in reaction with each mole of Na2S204 oxidized. Tests show that NaHCO3 effectively serves as a buffer in this application. Crystalline hematite dissolved in amounts of several hundred milligrams in 2 min. Crystalline goethite dissolved more slowly, but dissolved during the two or three 15 rain treatments normally given for iron oxide removal from soils and clays. A series of methods for the extraction of iron oxides from soils and clays was tested with soils high in free iron oxides and with nontronite and other iron-bearing clays. It was found that the bicarbonate-buffered Na2S2Oa-citrate system was the most effective in removal of free iron oxides from latosolic soils, and the least destructive of iron silicate clays as indicated by least loss in cation exchange capacity after the iron oxide removal treatment . With soils the decrease was very little but with the very susceptible Woody district nontronite , the decrease was about 17 percent as contrasted to 35-80 percent with other methods.},
File = {:Clays and Clay Minerals/Mehra & Jackson_Clay Clay Miner_1960.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://www.clays.org/journal/archive/volume%207/7-1-317.pdf}
}
@Article{MeierEtAl1997,
Title = {A new, efficient, one-step method for the removal of organic matter from claycontaining sediments},
Author = {L. P. Meier and A. P. Menegatti},
Journal = {Clay Minerals},
Pages = {557-563},
Volume = {32},
Year = {1997},
Abstract = {For the purpose of clay examination, a new one-step method for the removal of organic matter was developed using sodium peroxodisulphate combined with different buffers such as sodium hydrogen carbonate, disodium hydrogen phosphate and disodium tetraborate. From an early Cretaceous black shale from the Apennines with a high organic carbon content, the <2 mm clay fraction was separated and contained 10.9 wt% organic carbon. To prevent decomposition of the clay layers, the period of oxidation was short (2560 min) and the pH was kept between 5 and 9.5. Up to 98% of carbon was removed by this method.},
File = {:Clay Minerals/Meier & Menegatti_Clay Miner_1997.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {15.02.2010},
Url = {http://claymin.geoscienceworld.org/cgi/content/abstract/32/4/557}
}
@Inproceedings{MeinerzEtAl2009,
Title = {Estudo de Caso para Recuperação Paisagística do Aterro Sanitário de Toledo ? PR},
Author = {C.C. Meinerz and J.C. Klein and S. Dimbarre and D. Mondardo and P.P. Bellon and L.B. Santos and F. Scherer},
Booktitle = {2nd International Workshop: Advances in Cleaner Production},
Pages = {1-10},
Year = {2009},
Month = {Maio},
Keywords = {Sanitário, Área Degradada, Revegetação, Taludes.},
Location = {São Paulo, SP},
Owner = {Alessandro Samuel Rosa},
Timestamp = {31.07.2009}
}
@Article{Meinshausen2006,
Title = {Quantile regression forests},
Author = {Nicolai Meinshausen},
Journal = {Journal of Machine Learning Research},
Pages = {983-999},
Volume = {7},
Year = {2006},
__markedentry = {[alessandro:1]},
File = {Meinshausen2006.pdf:Meinshausen2006.pdf:PDF},
Owner = {alessandro},
Timestamp = {19.04.2015},
Url = {http://www.jmlr.org/papers/v7/meinshausen06a.html}
}
@Article{MelfiEtAl1979,
Title = {Natureza e distribuição dos compostos ferríferos nos solos do Brasil},
Author = {A J Melfi and G Pedro and B Volkoff},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {47-54},
Volume = {3},
Year = {1979},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVMDg2OGRmMjQtOWU1MS00MjM4LWJjODctYWVkYTAxODdlZDFk&hl=en&authkey=CIzWldEJ}
}
@Article{MellesEtAl2011,
Title = {Optimizing the spatial pattern of networks for monitoring radioactive releases},
Author = {S.J. Melles and G.B.M. Heuvelink and C.J.W. Twenhöfel and A. van Dijk and P.H. Hiemstra and O. Baume and U. Stöhlker},
Journal = {Computers \& Geosciences},
Pages = {280 - 288},
Volume = {37},
Year = {2011},
Number = {3},
Doi = {10.1016/j.cageo.2010.04.007},
File = {MellesEtAl2011.pdf:MellesEtAl2011.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Spatial simulated annealing; optimization;},
Owner = {alessandro},
Timestamp = {27.06.2013}
}
@Conference{Mello2012,
Title = {Teoria da amostragem},
Author = {Carlos Alexandre Mello},
Year = {2012},
Address = {Recife},
File = {Mello2012.pdf:Mello2012.pdf:PDF},
Institution = {Centro de Informática , Universidade Federal de Pernambuco},
Keywords = {Nyquist;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.11},
Url = {http://www.cin.ufpe.br/~cabm/pds/PDS_Aula03%20Amostragem.pdf}
}
@Book{Mello2012a,
Title = {Processamento digital de sinais},
Address = {Centro de Informática , Universidade Federal de Pernambuco},
Author = {Carlos Alexandre Mello},
Pages = {325},
Publisher = {Centro de Informática , Universidade Federal de Pernambuco},
Year = {2012},
File = {Mello2012a.pdf:Mello2012a.pdf:PDF},
Keywords = {Nyquist;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.11},
Url = {http://pt.scribd.com/doc/71007066/19/Teoria-da-Amostragem}
}
@Article{MelloEtAl2006,
Title = {Variabilidade espacial de perdas de solo, do potencial natural e risco de erosão em áreas intensamente cultivadas},
Author = {Gláucia De Mello and Célia R. P. Bueno and Gener T. Pereira},
Journal = {Revista Brasileira de Engenharia Agrícola e Ambiental},
Pages = {315-322},
Volume = {10},
Year = {2006},
Abstract = {O objetivo desta pesquisa foi identificar a variabilidade espacial do potencial natural de erosão, das perdas de solo e do risco de erosão em duas áreas intensamente cultivadas, com o intuito de fornecer subsídios na descrição de padrões de ocorrência de erosão. O solo da área, localizado em Monte Alto, SP, foi classificado como Argissolo Vermelho Amarelo (PVA), relevo ondulado e sob diferentes manejos. O solo da área localizado em Jaboticabal, SP, foi classificado como Latossolo Vermelho (LV), relevo suave, cultivado com cana-de-açúcar. O esquema de amostragem constituiu em uma malha irregular. Amostras de solo foram obtidas na profundidade de 0-0,2 m, para cada malha: 88 amostras para a área de Monte Alto (1465 ha) e 128 amostras para a área de Jaboticabal (2597 ha). Para obtenção dos valores das variáveis estudadas, empregou-se a EUPS para cada ponto amostrado. Os dados foram submetidos à análise estatística descritiva e geoestatística para definição dos semivariogramas. Para os modelos foi utilizada a interpolação por krigagem. Observou- se a ocorrência de dependência espacial para todas as variáveis. O solo PVA apresentou maiores riscos de erosão, devi- do ao relevo, uso atual e manejo, comparado com o solo LV.},
Keywords = {geoestatística, EUPS (Equação Universal de Perdas de Solo), conservação do solo, mapeamento do solo},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbeaa/v10n2/v10n2a10.pdf}
}
@Article{MeloEtAl1995,
Title = {Reserva mineral e caracterização mineralógica de alguns solos do Rio Grande do Sul},
Author = {V F Melo and L M Costa and N F Barros and M P F and R F Novais},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {159-164},
Volume = {19},
Year = {1995},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{MeloEtAl2006,
Title = {Caracterizacão física, química e mineralógica de solos da colônia agrícola do apiaú (Roraima, Amazônia), sob diferentes usos e após queima},
Author = {Valdinar Ferreira Melo and Carlos Ernesto G. R. Schaefer and Luiz Eduardo Ferreira Fontes and Adriana Cláudia Chagas and João Bosco Lemos.Júnior and Renato Pereira De Andrade},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1039-1050},
Volume = {30},
Year = {2006},
Abstract = {Existem poucos estudos sobre os solos sob cultivo de subsistência em assentamentos rurais do norte da Amazônia. Os objetivos deste trabalho foram a caracterização de solos da Colônia Agrícola do Apiaú, Roraima, e a avaliação das alterações em algumas propriedades químicas resultantes dos sistemas de manejo adotados pelos agricultores, bem como os impactos da ação de queimadas nos solos. As áreas estudadas foram: pastagens, cultivo de banana e de milho, mata queimada e não queimada. As amostras de solos foram submetidas a análises químicas e mineralógicas. Foram encontrados Latossolos, Argissolos e Gleissolos, todos possuindo mineralogia caulinítica e expressivos teores de Ti, evidenciando elevado grau de intemperismo. Os Argissolos e Gleissolos possuem baixos teores de Fe. Os baixos teores de cátions trocáveis indicam a baixa fertilidade natural, com elevada saturação por Al no complexo sortivo na maioria dos solos. A pobreza química resultou em pouca variação química entre os diferentes solos. Comparativamente, a área cultivada com banana mostrou os maiores teores de cátions trocáveis e de P disponível no horizonte superficial, conseqüência da mineralização dos restos culturais pela ação do fogo e maior proximidade de afloramentos de rocha. A pobreza química extrema nos Argissolos refletiu-se na má qualidade da pastagem degradada. Os baixos teores totais de Zn, Cu e Mg indicaram sua baixa reserva e possível deficiência.},
Keywords = {manejo do solo, solos da Amazônia, agricultura de subsistência},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/scielo.php?pid=S0100-06832006000600013&script=sci_arttext}
}
@Article{MendesEtAl2004,
Title = {Comparison of the environmental impact of incineration and landfilling in São Paulo City as determined by LCA},
Author = {Mara Regina Mendes and Toshiya Aramaki and Keisuke Hanaki},
Journal = {Resources, Conservation and Recycling},
Pages = {47-63},
Volume = {41},
Year = {2004},
Doi = {10.1016/j.resconrec.2003.08.003},
Keywords = {Life cycle assessment (LCA); Landfilling; Incineration; Municipal solid waste (MSW); Global warming; Acidification; Nutrient enrichment; São Paulo City},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@InCollection{Mendonca-SantosEtAl2006a,
Title = {The state of the art of {B}razilian soil mapping and prospects for digital soil mapping},
Author = {M L Mendon{\c c}a-Santos and H G Santos},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2007},
Chapter = {3},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {39 - 601},
Series = {Developments in Soil Science },
Volume = {31},
Abstract = {In this chapter, we shall discuss about the state of the art of the Brazilian soil survey and mapping, including a brief history of soil surveys in Brazil, a summary description of survey methods and techniques, mapping paradigms, as well as the present-day needs and current challenges. Digital soil mapping is viewed as an opportunity to recover the unaccomplished soil mapping program in Brazil. We also focus on several attempts to make a national soil database, starting at the beginning of the 1980s with SisSolos, followed by SigSolos, and lately, SigWeb “Iniciativa Solos br”, available at http://www.cnps.embrapa.br/soilsbr and the country's new challenges to improve soil mapping, as well as some insights into digital soil mapping. Traditional soil surveys in Brazil have covered almost the whole country; these soil surveys are mainly in small-scale mapping, except for the Amazon region, which is poorly provided with soil surveys. Four main governmental institutions, Brazilian Agricultural Research Corporation (EMBRAPA), Brazilian Institute of Geography and Statistics (IBGE), Agronomic Institute of Campinas (IAC) and Geological Survey of Brazil (CPRM), execute soil surveys at the national and state levels. Private consultants also perform soil surveys, particularly on larger scales, under private contracts. Consequently, there is much dispersed information about soil surveys, but at least the methods and procedures are kept reasonably uniform all over the country. The systematic, governmental-supported soil mapping of the entire country, as initially planned, has been cancelled for a long time, although the demand for soil survey information continues at the same or even higher levels in some regions. At present, complete soil mapping covers 17 states out of 26, and the Federal District, at scales ranging from 1:100,000 to 1:600,000, covers approximately 35% of Brazilian soil, as well as a full uniform cover at scales of 1:1,000,000 and 1:5,000,000. Extensive zones still lack complete soil information at suitable scales and survey levels, needed to face the current problems of use, management, conservation, prevention and recovery of agriculturally and nonagriculturally degraded areas. Nowadays, soil surveys are made only on governmental demands, to support agroecological zonings and evaluation of environmental-impact projects, precision agriculture, degraded-area reclamation, planning of rural settlements and land-use planning, and are always linked to multidisciplinary activities. Soil and environmental data organisation, structuring and availability is imperative to perform digital soil mapping, which will certainly generate demands of quality databases as well as of the necessary tools for institutions involved in soil surveys in Brazil. },
Doi = {10.1016/S0166-2481(06)31003-3},
File = {Mendonca-SantosEtAl2006a.pdf:Mendonca-SantosEtAl2006a.pdf:PDF},
ISSN = {0166-2481}
}
@Article{MendoncaEtAl2007,
Title = {Progresso científico e incomensurabilidade em {Thomas Kuhn}},
Author = {A Luis Oliveira Mendonça and Antonio Augusto Passos Videira},
Journal = {Scientiae Studia},
Pages = {169-183},
Volume = {5},
Year = {2007},
Number = {2},
Abstract = {Apesar das inúmeras críticas que recebeu ao longo de sua produção acadêmica, Thomas Kuhn produziu, inegavelmente, uma nova imagem acerca do progresso científico. A rigor, ele mostrou que o progresso ocorre em duas direções diferentes e complementares. Isso o levou a advogar a tese de que o desenvolvimento da ciência se dá por intermédio de uma tensão essencial entre o normal e o revolucionário. Segundo Kuhn, há o progresso no sentido de aprofundamento do conhecimento – proporcionado pela aquisição de um paradigma – e há o progresso no sentido de ampliação do conhecimento – gerado pela emergência da incomensurabilidade. O argumento central que desenvolvemos, neste artigo, afirma que o problema de Kuhn foi ter começado, com o passar do tempo, a pensar esses dois conceitos fundamentais (paradigma e incomensurabilidade) somente em suas conotações lingüísticas e teóricas.},
File = {MendoncaEtAl2007.pdf:MendoncaEtAl2007.pdf:PDF},
Keywords = {paradigm;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@InCollection{Mendonca-SantosEtAl2006,
Title = {Soil prediction with spatially decomposed environmental factors},
Author = {Mendonça-Santos, Maria de Lourdes and Alex B McBratney and B. Minasny},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {21},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {269 - 278},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Prediction of soil attributes and soil classes in digital soil mapping relies on finding relationships between soil and the predictor variables of soil-forming factors and processes. The predictor variables can be remotely or proximally sensed images of soil, landscape, parent material or climatic factors. Till date, most prediction methods are based on performing regression on the predictor variables directly to predict soil attributes or classes. There are problems using data layers from different sources, particularly, multicollinearity, and the fact that the relationships between soil and environmental variables can change with spatial scale. To overcome the problem of correlation between variables, principal component analysis can be performed on the predictor variables. With respect to the spatial dependency, each of these variables can be decomposed into separate spatial components and mapped separately. One of the methods of achieving this is wavelet analysis, which decomposes the variables into separate hierarchical spatial components of decreasing spatial resolution. These components could all be derived and subsequently used as separate layers in predicting soil classes or soil attributes. In this chapter, data are decomposed using the wavelet method and examples of predictions of soil classes and surface-clay content are shown, in order to evaluate the effect of using the decomposed layers in comparison with the original data.},
Doi = {DOI: 10.1016/S0166-2481(06)31021-5},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-12/2/9ecdb86d41bf5e0a133c128306ff00a4}
}
@Techreport{Mendonca-SantosEtAl2003,
Title = {Mapeamento digital de classes e atributos de solos - métodos, paradigmas e novas técnicas},
Address = {Rio de Janeiro},
Author = {Mendonça-Santos, Maria de Lourdes and Humberto G Santos},
Pages = {17},
Publisher = {Embrapa Solos},
Year = {2003},
Note = {(Documento 55)},
File = {:embrapa/Mendonça-Santos & Santos_Doc EMBRAPA_2003.pdf:PDF},
Institution = {Rio de Janeiro: Embrapa Solos},
ISSN = {1517-2627},
Keywords = {redemds},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://www.cnps.embrapa.br/publicacoes/pdfs/doc55_mapeamentodigital.pdf}
}
@Techreport{Mendonca-SantosEtAl2008,
Title = {Applying conditional {L}atin hypercube (c{LHS}) for selecting soil sampling location for digital soil mapping at {P}arque {E}stadual da {M}ata {S}eca, {MG}, {B}razil},
Address = {Rio de Janeiro},
Author = {Mendonça-Santos, Maria Lourdes and R. O. Dart and R. L. L. Berbara},
Pages = {6},
Publisher = {Embrapa Solos},
Year = {2008},
File = {Mendonca-SantosEtAl2008.pdf:Mendonca-SantosEtAl2008.pdf:PDF},
Keywords = {redemds, mata seca},
Url = {http://ainfo.cnptia.embrapa.br/digital/bitstream/item/65151/1/Mendonca-Santos-Session-2.pdf}
}
@Article{MenegattiEtAl1999,
Title = {Removal of organic matter by disodium peroxodisulphate: effects on mineral structure, chemical composition and physicochemical properties of some clay minerals},
Author = {A. P. Menegatti and G. L. Früh-Green and P. Stille},
Journal = {Clay Minerals},
Pages = {247-257},
Volume = {34},
Year = {1999},
Abstract = {The use of disodium peroxodisulphate combined with a neutral buffer is a new method for the efficient removal of organic matter from clay-bearing sediments. The effects of this oxidation procedure on mineral structure were investigated by treatment of different standard clay minerals (kaolinite `china clay', illite `Le Puy', montmorillonite SWy-1). The materials were characterized by means of XRD, FTIR, SEM and TEM before and after leaching with disodium peroxodisulphate. Systematic experiments were conducted to determine the effects of leaching on the chemical and isotopic composition of oxygen, hydrogen and K-Ar in these samples. Effects on the physicochemical properties of the clays such as BET external surface area, cation exchange capacity (CEC) and expandability with ethylene glycol were also investigated. The results show that structure, chemical composition, oxygen and hydrogen isotope ratios, as well as the K-Ar system remain unaffected by leaching with disodium peroxodisulphate. The CEC and expandability remain unchanged, whereas changes in BET area can be attributed to mechanical dispersion by ultrasonic treatment.},
File = {:Clay Minerals/Menegatti et al_Clay Miner_1999.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {15.02.2010},
Url = {http://claymin.geoscienceworld.org/cgi/reprint/34/2/247}
}
@Book{MenesesEtAl2012,
Title = {Introdução ao processamento de imagens de sensoriamento remoto},
Address = {Brasília},
Author = {Paulo Roberto Meneses and Tati Almeida},
Pages = {266},
Publisher = {Instituto de Geociências , Universidade de Brasília},
Year = {2012},
File = {MenesesEtAl2012.pdf:MenesesEtAl2012.pdf:PDF},
Keywords = {radar;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.12}
}
@Phdthesis{Menezes2008a,
Title = {Integridade de paisagem, manejo e atributos do solo no {M}édio {V}ale do {P}araíba do {S}ul, {P}inheiral - {RJ}},
Author = {Carlos Eduardo Gabriel Menezes},
Pages = {163},
School = {Curso de Pós-Graduação em Agronomia-Ciência do Solo, Universidade Federal Rural do Rio de Janeiro},
Year = {2008},
Address = {Seropédica},
File = {Menezes2008a.pdf:Menezes2008a.pdf:PDF},
Url = {http://www.ia.ufrrj.br/cpacs/}
}
@Mastersthesis{Menezes2008,
Title = {Humic substances in soils from different geomorphologic feature in the edge of {R}io {G}rande do {S}ul {P}lateau},
Address = {Santa Maria},
Author = {Fábio Pacheco Menezes},
Pages = {112},
School = {Graduate School in Soil Science. Federal University of Santa Maria},
Year = {2008},
File = {:dissertação/Menezes_Dissertação_2008.pdf:PDF},
Keywords = {fracionamento quíimico, frações húmicas, solos rasos, pedologia; dnos; rebordo do planalto;},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Phdthesis{Menezes2011,
Title = {Levantamento pedológico de hortos florestais e mapeamento digital de atributos físicos do solo para estudos hidrológicos},
Author = {Michele Duarte Menezes},
Pages = {224},
School = {Universidade Federal de Lavras},
Year = {2011},
Address = {Lavras},
File = {Menezes2011.pdf:Menezes2011.pdf:PDF},
Keywords = {Soil map; Soil management; Geostatistics; Fuzzy logics; Groundwater recharge},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.24}
}
@Article{MessingEtAl2003,
Title = {Criteria for land suitability evaluation in a small catchment on the Loess Plateau in China},
Author = {Ingmar Messing and Minh-Ha Hoang Fagerström and Liding Chen and Bojie Fu},
Journal = {Catena},
Pages = {215 - 234},
Volume = {54},
Year = {2003},
Note = {Soil Erosion and Participatory Land Use Planning on the Loess Plateau in China},
Number = {1-2},
Abstract = {This article describes some of the results of a land evaluation within the framework of a research project carried out in a small catchment on the Loess Plateau in northern China, which has long been exposed to land degradation from erosion. The project aimed to identify an approach for land use planning, combining participatory (land users) planning, land evaluation and soil erosion modelling. The results from this study were intended to provide the biophysical properties of importance to be used together with results from participatory approach (PA) studies and soil erosion modelling to construct scenarios for a more sustainable use of land. Land properties, which were restricting for agricultural cropping, were defined and values of each property were matched with the requirements for cropping. By defining the spatial distribution of critical properties, they could be combined to achieve compound suitability classes in each land unit for the chosen land use. Information was gathered from measurements and data searches as well as from farmers, using PA methods. Properties for which data and other information were available and which were considered to be relevant for the study included climate, soil water content, slope aspect, soil water storage capacity, rooting environment, tillage constraints, slope gradient, infiltration capacity, soil nutrients and flooding hazard. Each of the properties were discussed in relation to their influence on land suitability, primarily for agricultural crops. Whatever management changes were carried out to improve the productivity and sustainability in the project catchment, restrictions for agricultural production were large. The major constraints were water availability, nutrient availability and erosion hazard. The properties chosen for further use in suitability evaluation and scenario analyses were those having a significant spatial variability in the catchment: soil type, slope gradient and slope aspect. The results from this study are applied in other articles this issue.},
Doi = {DOI: 10.1016/S0341-8162(03)00066-3},
File = {MessingEtAl2003.pdf:Catena/MessingEtAl2003.pdf:PDF},
ISSN = {0341-8162},
Keywords = {Land characteristics; Land evaluation; Land properties; Land qualities; Loess Plateau of China},
Url = {http://www.sciencedirect.com/science/article/B6VCG-48TMN2G-1/2/d45e6b2f8ea27795167dc510bcfd7cbb}
}
@Article{MetzgerEtAl2006,
Title = {The vulnerability of ecosystem services to land use change},
Author = {M.J. Metzger and M.D.A. Rounsevell and L. Acosta-Michlik and R. Leemans and D. Schröter},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {69 - 85},
Volume = {114},
Year = {2006},
Note = {Scenario-Based Studies of Future Land Use in Europe},
Number = {1},
Abstract = {Terrestrial ecosystems provide a number of vital services for people and society, such as biodiversity, food, fibre, water resources, carbon sequestration, and recreation. The future capability of ecosystems to provide these services is determined by changes in socio-economic characteristics, land use, biodiversity, atmospheric composition and climate. Most published impact assessments do not address the vulnerability of the human-environment system under such environmental change. They cannot answer important multidisciplinary policy relevant questions such as: which are the main regions or sectors that are vulnerable to global change? How do the vulnerabilities of two regions compare? Which scenario is the least, or most, harmful for a given region or sector? The ATEAM project (Advanced Terrestrial Ecosystem Analysis and Modelling) uses a new approach to ecosystem assessment by integrating the potential impacts in a vulnerability assessment, which can help answer multidisciplinary questions, such as those listed above. This paper presents the vulnerability assessment of the ATEAM land use scenarios. The 14 land use types, discussed in detail by Rounsevell et al. (this volume), can be related to a range of ecosystem services. For instance, forest area is associated with wood production and designated land with outdoor recreation. Directly applying the vulnerability methodology to the land use change scenarios helps in understanding land use change impacts across the European environment. Scatter plots summarising impacts per principal European Environmental Zone (EnZ) help in interpreting how the impacts of the scenarios differ between ecosystem services and the European environments. While there is considerable heterogeneity in both the potential impacts of global changes, and the adaptive capacity to cope with these impacts, this assessment shows that southern Europe in particular will be vulnerable to land use change. Projected economic growth increases adaptive capacity, but is also associated with the most negative potential impacts. The potential impacts of more environmentally oriented developments are smaller, indicating an important role for both policy and society in determining eventual residual impacts.},
Doi = {DOI: 10.1016/j.agee.2005.11.025},
File = {MetzgerEtAl2006.pdf:Agriculture Ecosystems and Environment/MetzgerEtAl2006.pdf:PDF},
ISSN = {0167-8809},
Keywords = {Vulnerability assessment},
Url = {http://www.sciencedirect.com/science/article/B6T3Y-4J2M6T7-5/2/4b4db8e80f87b4defe82a77d3079c260}
}
@Book{MeyerEtAl2001,
Title = {Eliciting and analyzing expert judgment: a practical guide},
Address = {London},
Author = {Meyer, M A and Booker, J M},
Pages = {459},
Publisher = {ASA-SIAM Series on Statistics and Applied Probability},
Year = {2001},
File = {MeyerEtAl2001.pdf:MeyerEtAl2001.pdf:PDF},
Keywords = {redemds; expert knowledge},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.19}
}
@Article{Micceri1989,
Title = {The unicorn, the normal curve, and other improbable creatures},
Author = {Theodore Micceri},
Journal = {Psychological Bulletin},
Pages = {156-166},
Volume = {105},
Year = {1989},
Abstract = {An investigation of the distributional characteristics of 440 large-sample achieve-ment and psychometric measures found all to be significantly nonnormal at the alpha .01 significance level. Several classes of contamination were found, including tail weights from the uniform to the double exponential, exponential-level asymmetry, severe digit preferences, multimodalities, and modes external to the mean/median interval. Thus, the underlying tenets of normality-assuming statistics appear fallacious for these commonly used types of data. However, findings here also fail to support the types of distributions used in most prior robustness research suggesting the failure of such statistics under nonnormal conditions. A reevaluation of the statistical robustness literature appears appropriate in light of these findings.},
File = {:Psychological Bulletin/Micceri_Psychol Bull_1989.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.unt.edu/rss/class/mike/5030/articles/micceri89.pdf}
}
@Article{MiceliEtAl2011,
Title = {Vertical accuracy of digital elevation models (DEMs) in different topographic settings for medium and small scales},
Author = {Bruna Santos Miceli and Filipe de Meireles Dias and Fernanda Moraes Seabra and Paulo Roberto Alves dos Santos and Manoel do Couto Fernandes},
Year = {2011},
File = {MiceliEtAl2011.pdf:MiceliEtAl2011.pdf:PDF},
Keywords = {DEM; TOPODATA; kriging; Interpolation; Resampling;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Inproceedings{Micheli2011,
Title = {Toward a {U}niversal {S}oil {C}lassification ({USC})},
Author = {Michéli, E.},
Year = {2011},
Address = {West Lafayette},
Month = {05},
Organization = {IUSS and USDA-NRCS},
File = {Micheli2011.pdf:Micheli2011.pdf:PDF},
HowPublished = {online},
Keywords = {redemds},
Language = {en-EN},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.02},
Url = {http://soils.usda.gov/technical/classification/}
}
@Conference{MicheliEtAl2011,
Title = {Taxonomic relationships between WRB Solonetz and Solonchak soils with classification units of Soil Taxonomy},
Author = {Erika Michéli and Vince Láng and Szabolcs Szabari and Márta Fuchs},
Booktitle = {ASA-SSSA-CSSA International Annual Meeting, San Antonio, USA},
Year = {2011},
File = {MicheliEtAl2011.pdf:conference/MicheliEtAl2011.pdf:PDF},
Keywords = {taxonomic distance},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.04}
}
@Mastersthesis{Michelon2006,
Title = {Balanço químico em seis conjuntos solo-saprolito do {Rio Grande do Sul}},
Address = {Santa Maria},
Author = {Cristiane Regina Michelon},
Pages = {68},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2006},
File = {Michelon2006.pdf:Michelon2006.pdf:PDF},
Keywords = {dnos; geologia; caturrita;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.13},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Phdthesis{Miguel2013,
Title = {Pedogeochemical and mineralogical variables in the identification of sources of sediments in a basin of hillside},
Author = {Pablo Miguel},
Pages = {98},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2013},
Address = {Santa Maria},
File = {Miguel2013.pdf:Miguel2013.pdf:PDF},
Url = {http://w3.ufsm.br/ppgcs}
}
@Mastersthesis{Miguel2010,
Title = {Pedological characterization, land use and modeling of the soil loss in hillslope areas the {P}lateau {B}order of {RS}},
Address = {Santa Maria},
Author = {Pablo Miguel},
Pages = {112},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2010},
Abstract = {The river catchment Vacacaí Mirim is located where the water reservoir that supplies part of the water needs of the city of Santa Maria is located in a hillslope area of plateau border Southern Rio Grande. In these hillslope areas, due to the combination of strong relief is rolling to hilly common occurrence of soils with variable depth, with the predominance of shallow soils. The objectives were to conduct a study ofcurrent use and the evolution of land use and demarcation of areas of risk or potentially susceptible to loss of soil from the Universal Soil Loss Equation (USLE). The soil survey of semi-detailed, characterize thedifferent soil classes occurring in the region. Through techniques of GIS maps were generated from soil, slope, Permanent Preservation Areas (PPAs), land suitability and land use evolution from 1987 to 2009. Map was made usability and identified areas of land use conflicts. According to the soil survey over 50% of the area consists of Entisols and over 50% of the area has less ability, being only suitable for the protection offauna and flora. For the second study, the topographic factor (LS) was generated from the digital elevation model (DEM), the rainfall-runoff erosivity factor (R) data through normal rainfall, erodibility factor (K) thecomposition particle size of each class of soil, and cover-management and support practice factor (CP) through field observations and tabulated values. About 74% of the area has soil losses ranging 1 to 2 tha-1 .yr -1 . Only 3% of the area has a soil loss of more than 20 t ha -1 .yr -1 , and of these 3%, 1% shows soil loss exceeding 50 t ha -1 .yr -1 . For assessing the potential loss of soil, the topographic factor (LS) was the most strongly determined the pace of erosion followed by the factor use and cover-management and support practice factor (CP) and soil erodibility factor (K). The aid of the image ofcomputer application Google Earth is a very important tool in the evaluation of occupation and land use in the study area. The data gathered through this methodology for the estimation of factor use and cover-management and support practice factor (CP) are reliable and the researcher can make a conference field for a possible better definition of the classes of land use.},
File = {Miguel2010.pdf:Miguel2010.pdf:PDF},
Keywords = {Soil Survey, Soil Loss, River Catchment, USLE, DNOS, Santa Maria},
Owner = {Administrador},
Timestamp = {2011.01.21},
Url = {http://w3.ufsm.br/ppgcs}
}
@Article{MiguelEtAl2012,
Title = {Soil and land use dynamics in {P}lateau {B}order areas of {R}io {G}rande do {S}ul},
Author = {Pablo Miguel and Ricardo Simão Diniz Dalmolin and Pedron, Fabrício Araújo and Alessandro Samuel-Rosa and Paula Suélen Corrêa Medeiros and Jean Michel Moura-Bueno and Andrisa Balbinot},
Journal = {Revista Brasileira de Agrociência},
Pages = {347-455},
Volume = {17},
Year = {2011},
Number = {4},
Abstract = {Em áreas de encosta, devido à combinação de relevo forte ondulado a montanhoso, é comum a ocorrência de solos com profundidade variável, havendo o predomínio de solos rasos. Com base nessa informação, o objetivo deste estudo foi realizar um levantamento pedológico em uma bacia hidrográfica de encosta no Rebordo do Planalto do Rio Grande do Sul, utilizando técnicas de geoprocessamento, avaliando assim, a aptidão agrícola das terras e sua evolução de uso através da análise digital de imagens de satélite. Gerou-se o mapa de solos e o mapa de aptidão agrícola das terras e utilizando técnicas de geoprocessamento foram gerados mapas de declividade, áreas de preservação permanente (APPs) e evolução de uso das terras de 1987 a 2009. O levantamento de solo mostrou predomínio de Neossolos Litólicos (50% da área), seguido de Argissolos Bruno-Acinzentados (14%) associação de Cambissolos-Neossolos (14%), Argissolos Vermelhos (12%) e pequenas áreas com Planossolos Háplicos e associações de Neossolos Litólicos e Neossolos Regolíticos. Mais de 50% da área não apresenta aptidão para lavouras com cultivos anuais de grãos, pastagens plantadas ou áreas de reflorestamento, sendo somente indicada para a preservação da fauna e da flora. As APPs correspondem a 14% da área total de estudo. A evolução de uso da terra na bacia hidrográfica, no período estudado mostra que nesses últimos 22 anos houve um aumento das áreas de floresta com uma possível estabilização do ambiente a partir do ano de 1991 e um decréscimo considerável nas áreas de lavoura. O mapa foi publicado na escala de 1:30.000.},
File = {MiguelEtAl2012.pdf:my_publications/2012/agrociencia/MiguelEtAl2012.pdf:PDF},
Keywords = {bacia hidrográfica; levantamento pedológico; aptidão agrícola das terras; geoprocessamento; PhDpaper1},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.09},
Url = {http://www.ufpel.edu.br/faem/agrociencia/v17n4_arquivos/artigo05.htm}
}
@Electronic{MiguelEtAl2011,
Title = {Curvas de nível da área de captação do reservatório do DNOS, Santa Maria, RS (Contour lines of the catchment area of the reservoir DNOS, Santa Maria, RS)},
Author = {Pablo Miguel and Alessandro Samuel-Rosa},
HowPublished = {Online (kmz file)},
Language = {Português},
Month = {Janeiro},
Organization = {Federal University of Santa Maria, Santa Maria, RS},
Url = {http://bbs.keyhole.com/ubb/ubbthreads.ph...8.04547164.kmz},
Year = {2011},
Abstract = {O arquivo disponibilizado constitui as curvas de nível da área de captação do reservatório do DNOS, no município de Santa Maria, Estado do Rio Grande do Sul. AS curvas de nível foram digitalizadas a partir das cartas planialtimétricas Santa Maria (SH.22-V-C-IV/1 - SE) e Santa Maria (SH.22-V-C-IV-1 - NE) da Diretoria do Serviço Geográfico do Exército (DSG), na escala 1:25.000. Os autores da digitalização são Pablo Miguel e Alessandro Samuel-Rosa.},
Owner = {Administrador},
Timestamp = {2011.01.19}
}
@Article{MikuttaEtAl2005,
Title = {Poorly crystalline minerals protect organic carbon in clay subfractions from acid subsoil horizons},
Author = {R. Mikutta and M. Kleber and R. Jahn},
Journal = {Geoderma},
Pages = {106-115},
Volume = {128},
Year = {2005},
Abstract = {Minerals with less than perfect crystallinity (poorly crystalline minerals) are ubiquitous in pedogenetic active soils as a result of mineral weathering. However, systematic investigations into the importance of poorly crystalline phases for carbon stabilisation in soils are scarce. We used clay subfractions from 12 acid subsoil horizons of differing pedogenetic provenance to test the influence of poorly crystalline minerals on carbon stabilisation. Stable organic carbon (OC stable ) was isolated by chemical treatment using NaOCl. Poorly crystalline minerals were characterised chemically by selective dissolution with acid oxalate and dithionite?citrate and physically by surface area determinations (BET?N 2 ). Fine clay contained slightly but insignificantly more stable OC and total N than coarse clay fractions. The majority of the variability of stable OC concentrations (r 2 =0.58, pb0.01 in coarse and r 2 =0.84, pb0.001 in fine clay) was explained by linear regression using a parameter, which represents poorly crystalline Fe and Al minerals [OC stable =f(Fe+Al) o ]. Stable OC was neither related to dithionite-extractable Fe (Fe d ) nor to mineral surface area. The absence of a relation between stable OC and total mineral surface area points to a coupling mechanism requiring specific surface sites on mineral surfaces.},
Doi = {10.1016/j.geoderma.2004.12.018},
File = {:Geoderma/Mikutta et al_Geoderma_2005.pdf:PDF},
Keywords = {Clay subfractions; Carbon stabilisation; Poorly crystalline minerals; Sodium hypochlorite},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{MikuttaEtAl2005a,
Title = {Review: organic matter removal from soils using hydrogen peroxide, sodium hypochlorite, and disodium peroxodisulfate},
Author = {R. Mikutta and M. Kleber and K. Kaiser and R. Jahn},
Journal = {Soil Science Society of America Journal},
Pages = {120-135},
Volume = {69},
Year = {2005},
Abstract = {We compare the performance of three most accepted reagents for organic matter removal: hydrogen peroxide (H2O2), sodium hypochlorite (NaOCl) and disodium peroxodisulfate (Na2S2O8). Removal of organic matter from soil is mostly incomplete with the efficiency of removal depending on reaction conditions and sample properties. Generally, NaOCl and Na2S2O8 are more effective in organic C removal than H2O2. Alkaline conditions and additives favoring dispersion and/or desorption of organic matter, such as sodium pyrophosphate, seem to be crucial for C removal. Pyrophosphate and additives for pH control (bicarbonate) may irreversibly adsorb to mineral surfaces. In soils with a large proportion of organic matter bound to the mineral matrix, for example subsoils, or rich in clay-sized minerals (Fe oxides, poorly crystalline Fe and Al phases, expandable phyllosilicates), C removal can be little irrespective of the reagents used. Residual organic C seems to seems to represent largely refractory organic matter, and comprises mainly pyrogenic materials and aliphatic compounds. If protected by close association with minerals, other organic constituents such as low-molecular weight carboxylicacids, lignin-derived and N-containing compounds may escape chemical destruction. For determination of mineral phase properties, treatment with H2O2 should be avoided since it may promote organicassisted dissolution of poorly crystalline minerals at low pH, disintegration of expandable clay minerals, and transformation of vermiculite into mica-like products due to NH4 fixation. Sodium hypochlorite and Na2S2O8 are less harmful for minerals thanH2O2.While the NaOCl procedure (pH 9.5) may dissolve Al hydroxides, alkaline conditions favor the precipitation of metals released upon destruction of organic matter. Prolonged heating to 40C during any treatment may transform poorly crystalline minerals into more crystalline ones. Sodium hypochlorite can be used at 25C, thus preventing heat-induced mineral alteration.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://cat.inist.fr/?aModele=afficheN&cpsidt=16422287}
}
@Article{MikuttaEtAl2006,
Title = {Stabilization of Soil Organic Matter: Association with Minerals or Chemical Recalcitrance?},
Author = {Mikutta, Robert and Kleber, Markus and Torn, Margaret and Jahn, Reinhold},
Journal = {Biogeochemistry},
Pages = {25-56},
Volume = {77},
Year = {2006},
Note = {10.1007/s10533-005-0712-6},
Abstract = {Soil organic matter (OM) can be stabilized against decomposition by association with minerals, by its inherent recalcitrance and by occlusion in aggregates. However, the relative contribution of these factors to OM stabilization is yet unknown. We analyzed pool size and isotopic composition (14C, 13C) of mineral-protected and recalcitrant OM in 12 subsurface horizons from 10 acidic forest soils. The results were related to properties of the mineral phase and to OM composition as revealed by CPMAS 13C-NMR and CuO oxidation. Stable OM was defined as that material which survived treatment of soils with 6 wt% sodium hypochlorite (NaOCl). Mineral-protected OM was extracted by subsequent dissolution of minerals by 10% hydrofluoric acid (HF). Organic matter resistant against NaOCl and insoluble in HF was considered as recalcitrant OM. Hypochlorite removed primarily 14C-modern OM. Of the stable organic carbon (OC), amounting to 2.4?20.6 g kg?1 soil, mineral dissolution released on average 73%. Poorly crystalline Fe and Al phases (Feo, Alo) and crystalline Fe oxides (Fed?o) explained 86% of the variability of mineral-protected OC. Atomic Cp/(Fe+Al)p ratios of 1.3?6.5 suggest that a portion of stable OM was associated with polymeric Fe and Al species. Recalcitrant OC (0.4?6.5 g kg?1 soil) contributed on average 27% to stable OC and the amount was not correlated with any mineralogical property. Recalcitrant OC had lower ?14C and ?13C values than mineral-protected OC and was mainly composed of aliphatic (56%) and O-alkyl (13%) C moieties. Lignin phenols were only present in small amounts in either mineral-protected or recalcitrant OM (mean 4.3 and 0.2 g kg?1 OC). The results confirm that stabilization of OM by interaction with poorly crystalline minerals and polymeric metal species is the most important mechanism for preservation of OM in these acid subsoil horizons.},
Affiliation = {Martin-Luther-Universität Halle-Wittenberg Institut für Bodenkunde und Pflanzenernährung Weidenplan 14 D-06108 Halle Germany Weidenplan 14 D-06108 Halle Germany},
File = {MikuttaEtAl2006.pdf:Biogeochemistry/MikuttaEtAl2006.pdf:PDF},
ISSN = {0168-2563},
Issue = {1},
Keyword = {Earth and Environmental Science},
Keywords = {C isotopes, Hydro?uoric acid, Lignin, Recalcitrant organic matter, Sodium hypochlorite, Stable organic matter},
Publisher = {Springer Netherlands},
Url = {http://dx.doi.org/10.1007/s10533-005-0712-6}
}
@Inbook{Milani2005,
Title = {Comentários sobre a origem e a evolução tectônica da bacia do {P}araná},
Address = {São Paulo},
Author = {Milani, E.J.},
Booktitle = {Geologia do continente sul-americano: evolução da obra de {F}ernando {F}lávio {M}arques de {A}lmeida},
Editor = {Mantesso Neto, V. and Bartorelli, A. and Carneiro, C.D.R. and Neves, B.B.B.},
Pages = {264-279},
Publisher = {Beca},
Year = {2005},
Owner = {alessandro},
Timestamp = {23.09.2014}
}
@Manual{MildenbergerEtAl2009,
Title = {histogram: Construction of regular and irregular histograms with different options for automatic choice of bins},
Author = {Thoralf Mildenberger and Yves Rozenholc and David Zasada},
Year = {2009},
Note = {R package version 0.0-23},
Url = {http://CRAN.R-project.org/package=histogram}
}
@Article{Miller2014,
Title = {Semantic calibration of digital terrain analysis scale},
Author = {Miller, Bradley A.},
Journal = {Cartography and Geographic Information Science},
Pages = {166-176},
Volume = {41},
Year = {2014},
Month = {Mar},
Number = {2},
Doi = {10.1080/15230406.2014.883488},
File = {Miller2014.pdf:Miller2014.pdf:PDF},
ISSN = {1545-0465},
Keywords = {Analysis; Scale; Resolution; Support; DSM; Pedometrics;},
Publisher = {Informa UK Limited},
Review = {The author believes that there is "the optimal" scale to study environmental processes. He assumes the existence of process and phenomenon scale. However, he does not define any of this terms. The proposed approach implies that scientific theories are representations of the reality. More than that, the author implies that the mental model of field soil scientists is the best possible representation of the reality. This is in line with what Hupy et al. (2004) stated. Mental models.}
}
@Article{MillerEtAl2015,
Title = {Impact of multi-scale predictor selection for modeling soil properties},
Author = {Miller, Bradley A. and Koszinski, Sylvia and Wehrhan, Marc and Sommer, Michael},
Journal = {Geoderma},
Pages = {97-106},
Volume = {239-240},
Year = {2015},
Month = {Feb},
Doi = {10.1016/j.geoderma.2014.09.018},
File = {MillerEtAl2015.pdf:MillerEtAl2015.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{MillerEtAl2014,
Title = {The historical role of base maps in soil geography},
Author = {Miller, B.A. and Schaetzl, R.J.},
Journal = {Geoderma},
Pages = {329–339},
Volume = {230–231},
Year = {2014},
Month = {May},
Doi = {10.1016/j.geoderma.2014.04.020},
File = {MillerEtAl2014.pdf:MillerEtAl2014.pdf:PDF},
ISSN = {0016-7061},
Keywords = {DEM; resolution; Accuracy; PhDpaper1},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{Miller2011,
Title = {ESP paper rekindles discussion about statistics},
Author = {Miller, Greg},
Journal = {Science},
Pages = {272-273},
Volume = {331},
Year = {2011},
Number = {6015},
Doi = {10.1126/science.331.6015.272},
Eprint = {http://www.sciencemag.org/content/331/6015/272.full.pdf},
File = {Miller2011.pdf:Miller2011.pdf:PDF},
Keywords = {filosofia},
Url = {http://www.sciencemag.org/content/331/6015/272.short}
}
@Article{Miller1955,
Title = {The magical number seven, plus or minus two - some limits on our capacity for processing information},
Author = {George A. Miller},
Journal = {Psychological Review},
Pages = {343-352},
Volume = {101},
Year = {1955},
Number = {2},
File = {Miller1955.pdf:Miller1955.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.10}
}
@Book{MillerEtAl2005,
Title = {Statistics and chemometrics for analytical chemistry},
Author = {James N. Miller and Jane C. Miller},
Publisher = {Harlow, England: Pearson Prentice Hall},
Year = {2005},
Edition = {5},
File = {MillerEtAl2005.pdf:Book/MillerEtAl2005.pdf:PDF},
Keywords = {comparação de métodos},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.11}
}
@Article{MillsEtAl2003,
Title = {Declining soil quality in South Africa: effects of land use on soil organic matter and surface crusting},
Author = {A. J. Mills and M. V. Fey},
Journal = {South African Journal of Science},
Pages = {429},
Volume = {99},
Year = {2003},
Abstract = {Soil conservation in South Africa has historically focused on preventing soil erosion. Effective maintenance of the soil requires, in addition to erosion control, an understanding of how land-use practices affect more subtle indicators of soil quality. This review outlines how land use in South Africa can rapidly result in a marked reduction in soil organic matter (SOM) content and increased tendency of soils to crust. Removal of a cover of vegetation, whether by ploughing, grazing or burning, tends to reduce SOM due to reduced inputs of organic matter and enhanced activity of soil microbes. Loss of SOM, particularly from the top few centimetres of soil (named here the pedoderm), has a dispropor- tionately large effect on soil infiltrability and nutrient supply. The mineralogy of the clay fraction also has great bearing on the response of soil to land-use effects. The unexpected role of quartz in soil dispersion and crusting in South Africa has only recently been revealed. Apart from SOM effects, land use can lead to subtle changes in soil chemistry. Plantation forestry has resulted in an increase in soil nitrate in many areas, possibly due to greater mineralization under forests than grasslands. Annual burning in the Kruger National Park bushveld has been shown to increase clay dispersibility and crusting of the pedoderm, which was ascribed to a reduction in electrical conductivity and SOM as well as to an increase in the exchangeable sodium percentage. Soil quality is a multifaceted concept. One aspect stands out, however, as critical and that is the conservation and replenishment of nitrogen, which is all-important for retaining humus and maintaining soil quality.},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://www.r3g.co.za/publications/Mills%20and%20Fey%202003.pdf}
}
@Article{MilneEtAl2008,
Title = {Finding the boundary},
Author = {Alice Milne and Murray Lark},
Journal = {Pedometron},
Pages = {10-13},
Volume = {25},
Year = {2008},
Keywords = {redemds},
Owner = {pccli},
Timestamp = {2011.12.22},
Url = {http://www.pedometrics.org/pedometron/Pedometron25s.pdf}
}
@Article{MilneEtAl2010,
Title = {Spectral and wavelet analysis of gilgai patterns from air photography},
Author = {A. E. Milne and R. Webster and R. M. Lark},
Journal = {Australian Journal of Soil Research},
Pages = {309-325},
Volume = {48},
Year = {2010},
Abstract = {Gilgais form repeating patterns that seem to be regular to some degree. We have analysed the patterns of gilgais as they appear on aerial photographs of the Bland Plain of New South Wales to discover to what degree they exhibit regularity and to estimate the spatial frequencies of the repeating patterns. We digitised rectangular sections of the photographs to produce grids of pixels at 0.063-mm intervals, equivalent to 1.3 m on the ground, with the optical density of each pixel recorded as a level of grey in the range 0 (black) to 255 (white). From the data we computed autocorrelograms and power spectra in both 1 and 2 dimensions and wavelet coefficients and wavelet packet coefficients and their variances. Spectra of many of the individual rows of the grids contained peaks corresponding to wavelengths of ≈32 m (at Caragabal) and ≈52 m (at Back Creek). The 2-dimensional spectra have rings of relatively large power corresponding to these wavelengths in addition to their central peaks. The 1-dimensional wavelet variances have pronounced peaks at the 16-32 pixel scale, corresponding to 20-40 m on the ground. The 2-dimensional wavelet analyses revealed peaks in the variances in the same range. Back Creek has in addition a low-frequency feature caused by the much darker than average gilgais in one comer of the digitised rectangle, and this is equally evident in the 1-dimensional analyses of rows that cross this comer, where the largest contribution to wavelet packet variation is at wavelength 84-167 m. Where this feature is absent, the best wavelet packet basis indicates that variation at frequencies at or below the repeating pattern is consistent with an underlying stationary random variable, while higher-frequency components show more complex (non-stationary) behaviour. We conclude that the gilgai patterns we have examined have a regularity with wavelengths in the range 30-50 m.},
Doi = {10.1071/SR09189},
File = {MilneEtAl2010.pdf:MilneEtAl2010.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.06}
}
@Article{MilneEtAl2007,
Title = {An increased understanding of soil organic carbon stocks and changes in non-temperate areas: National and global implications},
Author = {Eleanor Milne and Keith Paustian and Mark Easter and Mohamed Sessay and Rida Al-Adamat and Niels H. Batjes and Martial Bernoux and Tapas Bhattacharyya and Carlos Clemente Cerri and Carlos E.P. Cerri and Kevin Coleman and Pete Falloon and Christian Feller and Patrick Gicheru and Peter Kamoni and Kendrick Killian and Dilip K. Pal and David S. Powlson and Stephen Williams and Zahir Rawajfih},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {125-136},
Volume = {122},
Year = {2007},
Abstract = {National and sub-national scale estimates of soil organic carbon (SOC) stocks and changes can provide information land degradation risk, C sequestration possibilities and the potential sustainability of proposed land management plans. Under a GEF co-financed project, ?The GEFSOC Modelling System? was used to determine SOC stocks and projected stock change rates for four case study areas; The Brazilian Amazon, The Indo-Gangetic Plains of India, Kenya and Jordan. Each case study represented soil and vegetation types, climates and land management systems that are under represented globally, in terms of an understanding of land use and land management systems and the effects these systems have on SOC stocks. The stocks and stock change rates produced were based on detailed geo-referenced datasets of soils, climate, land use and management information. These datasets are unique as they bring together national and regional scale data on the main variables determining SOC, for four contrasting non-temperate eco-regions. They are also unique, as they include information on land management practices used in subsistence agriculture in tropical and arid areas. Implications of a greater understanding of SOC stocks and stock change rates in non-temperate areas are considered. Relevance to national land use plans are explored for each of the four case studies, in terms of sustainability, land degradation and greenhouse gas mitigation potential. Ways in which such information will aid the case study countries in fulfilling obligations under the United Nations Conventions on Climate Change, Biodiversity and Land Degradation are also considered. The need for more detailed land management data to improve SOC stock estimates in non-temperate areas is discussed.},
Doi = {10.1016/j.agee.2007.01.012},
File = {MilneEtAl2007.pdf:Agriculture Ecosystems and Environment/MilneEtAl2007.pdf:PDF},
Keywords = {The GEFSOC Modelling System; Soils; Soil organic carbon; Soil organic carbon stock change; Land use; Non-temperate},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{Milne1936,
Title = {Normal erosion as a factor in soil profile development},
Author = {G Milne},
Journal = {Nature},
Pages = {548-549},
Volume = {138},
Year = {1936},
Abstract = {IN NATURE of June 6, Prof. G. W. Robinson directs attention to the effects of lateral transport of surface soil material, moved in the course of ordinary slow denudation, on certain soils in Wales. Erosive processes of this kind not only modify the development of particular soil profiles, but also may be found governing the zonation of soil types over wide areas. I offer an example from tropical semi-arid country.},
Doi = {10.1038/138548c0},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.28}
}
@Article{MiltnerEtAl1998,
Title = {Carbohydrate decomposition in beech litter as influenced by aluminium, iron and manganese oxides},
Author = {A. Miltner and W. Zech},
Journal = {Soil Biology and Biochemistry},
Pages = {1-7},
Volume = {30},
Year = {1998},
Abstract = {though carbohydrates are one of the most degradable groups of soil organic matter compounds, they can accumulate in soil horizons containing strongly humified organic matter. It is there- fore assumed that stabilization reactions exist, which may be related to the presence. of particular mineral compounds in soils. An incubation experiment was made to investigate the influence of selected oxides (ferrihydrite, aluminium hydroxide, birnessite) on the decomposition of polysaccharides in beech litter. pH changes and the dynamics of total organic carbon, cellulosic and non-cellulosic polysacchar- ides, and potential cellulase activity were recorded. Carbon loss during incubation was promoted by 10% in the presence of birnessite, which acts as an oxidizing agent. Polysaccharide decomposition was hardly affected by birnessite. On the other hand, ferrihydrite and aluminium hydroxide reduced the de- composition of bulk organic matter by 12 and 65%, respectively. These mineral phases resulted in a re- duction of carbohydrate decomposition by 15 and 50%, respectively. In the presence of aluminium hydroxide, there was no significant cellulose decomposition after 90 d. Nevertheless, throughout the ex- periment, potential cellulase activity was higher in this treatment than in the presence of bimessite. Therefore we assume that organic matter stabilization is caused by toxic effects, or by adsorption to the oxides or hydroxides, especially to aluminium hydroxide, or by both. This process tends to lower the microbial availability of organic matter and therefore to inhibit the decomposition.},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0038071797000928}
}
@InCollection{MinasnyEtAl2006,
Title = {Latin hypercube sampling as a tool for digital soil mapping},
Author = {B. Minasny and A.B. McBratney},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {12},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {153 - 165, 606},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Prediction of soil attributes (properties and classes) in digital soil mapping (DSM) is based on the correlation between primary soil attributes and secondary environmental attributes. These secondary attributes can be obtained relatively cheaply over large areas. In the presence of these environmental covariates, a strategic sampling design needs to ensure the coverage of the full range of environmental variables. This could enhance the full representation of the expected soil properties or soil classes. This chapter presents the Latin hypercube sampling (LHS) as a sampling strategy on existing data layers. LHS is a stratified-random procedure that provides an efficient way of sampling variables from their multivariate distributions. It provides a full coverage of the range of each variable by maximally stratifying the marginal distribution. This method is illustrated with examples from DSM of part of the Hunter Valley of New South Wales. Comparison is made with other methods: random sampling, equal spatial strata and principal component (PC). Results showed that the LHS is the most effective way to replicate the distribution of the variables.},
Doi = {10.1016/S0166-2481(06)31012-4},
File = {:Developments in Soil Science/Minasny_Dev Soil Sci_2006.pdf:PDF},
ISSN = {0166-2481},
Keywords = {redemds},
Owner = {Alessandro},
Timestamp = {2011.01.21}
}
@Inbook{MinasnyEtAl2010a,
Title = {Conditioned {L}atin {H}ypercube {S}ampling for calibrating soil sensor data to soil properties},
Address = {Amsterdam},
Author = {Minasny, B and McBratney, A B},
Booktitle = {Proximal Soil Sensing},
Editor = {Viscarra Rossel, Raphael A and McBratney, Alex B and Minasny, Budiman},
Pages = {111-119},
Publisher = {Springer},
Year = {2010},
Chapter = {9},
Series = {Progress in Soil Science},
Doi = {10.1007/978-90-481-8859-8_9},
File = {MinasnyEtAl2010a.pdf:MinasnyEtAl2010a.pdf:PDF},
ISBN = {http://id.crossref.org/isbn/978-90-481-8859-8},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro}
}
@Article{MinasnyEtAl2007,
Title = {Spatial prediction of soil properties using {EBLUP} with the {Matérn} covariance function},
Author = {Budiman Minasny and Alex B. McBratney},
Journal = {Geoderma},
Pages = {324-336},
Volume = {140},
Year = {2007},
Number = {4},
Abstract = {Spatial prediction with the presence of spatially dense ancillary variables has attracted research in pedometrics. While soil survey and analysis of soil properties are still expensive and time consuming, the secondary data can be made available on a dense grid for the whole area of interest. The main aim of using the ancillary data is to enhance prediction of soil properties by making use of the ancillary variables as covariates. Methods that can be used for this purpose are kriging with external drift, cokriging, regression kriging, and REML-EBLUP (Residual Maximum Likelihood-Empirical Best Linear Unbiased Predictor). Regression kriging is a sub-optimal method that has been utilised extensively because it is easy to use and has been shown empirically to perform as well as other methods. A statically sound method is REML-EBLUP. This paper examines the use of REML-EBLUP in combination with the Matérn covariance function for spatial prediction of soil properties. Methods for estimating parameters of the Matérn variogram using REML, and prediction with EBLUP are described. The prediction capability of REML-EBLUP, regression kriging, and ordinary kriging is compared for four datasets. Results show that although REML-EBLUP generally improves the prediction, the improvement is small compared with regression kriging. Thus, for practical applications regression kriging appears to be a robust method. REML-EBLUP is useful when the trend is strong, and the number of observations is small (< 200). We concluded that improvement in the prediction of soil properties does not rely on more sophisticated statistical methods, but rather on gathering more useful and higher quality data.},
Doi = {10.1016/j.geoderma.2007.04.028},
File = {MinasnyEtAl2007a.pdf:MinasnyEtAl2007a.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Best linear unbiased predictor, redemds}
}
@Article{MinasnyEtAl2006b,
Title = {A conditioned {L}atin hypercube method for sampling in the presence of ancillary information},
Author = {Minasny, Budiman and McBratney, Alex B.},
Journal = {Computers \& Geosciences},
Pages = {1378-1388},
Volume = {32},
Year = {2006},
Month = {Nov},
Number = {9},
Doi = {10.1016/j.cageo.2005.12.009},
File = {MinasnyEtAl2006b.pdf:MinasnyEtAl2006b.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Sampling; Pedometrics; DSM; PhDpaper1; space filling sampling;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{MinasnyEtAl2005,
Title = {The Mat{\'e}rn function as a general model for soil variograms},
Author = {Minasny, Budiman and McBratney, Alex B},
Journal = {Geoderma},
Pages = {192--207},
Volume = {128},
Year = {2005},
Number = {3},
Doi = {10.1016/j.geoderma.2005.04.003},
File = {MinasnyEtAl2005.pdf:MinasnyEtAl2005.pdf:PDF},
Keywords = {REML; Cressie;},
Owner = {alessandro},
Publisher = {Elsevier}
}
@Article{MinasnyEtAl2002,
Title = {Uncertainty analysis for pedotransfer functions},
Author = {Minasny, B. and McBratney, A. B.},
Journal = {European Journal of Soil Science},
Pages = {417--429},
Volume = {53},
Year = {2002},
Month = {Sep},
Number = {3},
Doi = {10.1046/j.1365-2389.2002.00452.x},
File = {MinasnyEtAl2002.pdf:MinasnyEtAl2002.pdf:PDF},
ISSN = {1365-2389},
Keywords = {Latin; Hypercube; Sampling; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{MinasnyEtAl2010,
Title = {Global pedodiversity, taxonomic distance, and the World Reference Base},
Author = {Budiman Minasny and Alex. B. McBratney and Alfred E. Hartemink},
Journal = {Geoderma},
Pages = {132 - 139},
Volume = {155},
Year = {2010},
Number = {3-4},
Abstract = {This paper discusses the study of taxonomic distance and pedodiversity by (1) deriving taxonomic distances for the World Reference Base for Soil Resources (WRB), (2) calculating pedodiversity indices at the global scale using the soil map of the world at a scale 1:25M, and (3) comparing traditional diversity measures which are based on abundance of soil individuals to measures that are based on taxonomic distance. Based on dominant identifiers in the WRB soil groups, taxonomic distances were derived between the soil groups and plotted in feature space. Using this information the soil's mean taxonomic distance for the world was calculated. The mean taxonomic distance combines the abundance and taxonomic relationship between soil groups and appears to be a useful index of pedodiversity. There is a good relation between mean taxonomic distance and climate or soil classes; areas with extreme temperatures and precipitation have the lowest pedodiversity. It was observed that areas with more detailed soil mapping units exhibit the largest pedodiversity and it was concluded that the measure of pedodiversity depends amongst others on the detail of the soil survey in an area.},
Doi = {10.1016/j.geoderma.2009.04.024},
File = {:Geoderma/Minasny et al_Geoderma_2010.pdf:PDF},
ISSN = {0016-7061},
Keywords = {World soil map}
}
@InCollection{MinasnyEtAl2008,
Title = {Digital soil mapping technologies for countries with sparse data infrastructures},
Author = {Minasny, Budiman and McBratney, Alex. B. and Lark, R. Murray},
Booktitle = {Digital soil mapping with limited data},
Publisher = {Springer},
Year = {2008},
Address = {Amsterdam},
Chapter = {2},
Editor = {Alfred E. Hartemink and Alex B McBratney and Maria Lourdes Mendonça-Santos},
Pages = {15-30},
Doi = {10.1007/978-1-4020-8592-5_2},
File = {MinasnyEtAl2008.pdf:MinasnyEtAl2008.pdf:PDF},
ISBN = {http://id.crossref.org/isbn/978-1-4020-8592-5},
Journal = {Digital soil mapping with limited data},
Keywords = {linear; nonlinear; data-mining; free survey; sampling bias; PhDpaper1},
Owner = {alessandro}
}
@Article{MinasnyEtAl2006a,
Title = {Prediction and digital mapping of soil carbon storage in the Lower Namoi Valley},
Author = {Budiman Minasny and Alex. B. McBratney and M. L. Mendonça-Santos and I.O.A. Odeh and Brice Guyon},
Journal = {Australian Journal of Soil Research},
Pages = {233-244},
Volume = {44},
Year = {2006},
Abstract = {Estimation and mapping carbon storage in the soil is currently an important topic; thus, the knowledge of the distribution of carbon content with depth is essential. This paper examines the use of a negative exponential profile depth function to describe the soil carbon data at different depths, and its integral to represent the carbon storage. A novel method is then proposed for mapping the soil carbon storage in the Lower Namoi Valley, NSW. This involves deriving pedotransfer functions to predict soil organic carbon and bulk density, fitting the exponential depth function to the carbon profile data, deriving a neural network model to predict parameters of the exponential function from environmental data, and mapping the organic carbon storage. The exponential depth function is shown to fit the soil carbon data adequately, and the parameters also reflect the influence of soil order. The parameters of the exponential depth function were predicted from land use, radiometric K, and terrain attributes. Using the estimated parameters we map the carbon storage of the area from surface to a depth of 1 m. The organic carbon storage map shows the high influence of land use on the predicted storage. Values of 15?22 kg/m2 were predicted for the forested area and 2?6 kg/m2 in the cultivated area in the plains.},
Doi = {10.1071/SR05136},
File = {MinasnyEtAl2006a.pdf:Australian Journal of Soil Research/MinasnyEtAl2006a.pdf:PDF},
Keywords = {soil information system, neural networks, carbon stock, carbon sequestration, organic carbon, Vertosol, digital soil mapping},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{MinasnyEtAl2007a,
Title = {The variance quadtree algorithm: use for spatial sampling design},
Author = {Budiman Minasny and Alex B. McBratney and Dennis J.J. Walvoort},
Journal = {Computers \& Geosciences},
Pages = {383-392},
Volume = {33},
Year = {2007},
Abstract = {Spatial sampling schemes are mainly developed to determine sampling locations that can cover the variation of environmental properties in the area of interest. Here we proposed the variance quadtree algorithm for sampling in an area with prior information represented as ancillary or secondary environmental data, and the covariance structure of the ancillary variable is non-stationary. The algorithm is based on the idea of a quadtree decomposition, where an area is successively divided into strata so each stratum has more-or-less equal variation. An observation point is then placed inside each stratum. This scheme samples sparsely in relatively uniform areas and more intensively where variation is large. It samples in the feature space and also takes into consideration the spread in the geographic space. We describe the algorithm, its software implementation, and present some examples of applications.},
Doi = {10.1016/j.cageo.2006.08.009},
File = {:Computers and Geosciences/Minasny et al_Comput Geosci_2007.pdf:PDF},
Keywords = {Sampling design; Spatial design; Soil survey; Geostatistics; Quadtree; Ancillary data;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@InCollection{MinasnyEtAl2004,
Title = {Solute adsorption and transport parameters},
Author = {B. Minasny and E. Perfect},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {195 - 224},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30012-7},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-D/2/afcf25727bd628aa41d5f280c3313cd9}
}
@Article{MinellaEtAl2010,
Title = {Use of spatial representation to calculate the topographic factor in the revised universal soil loss equation in watersheds},
Author = {Jean P.G. Minella and Gustavo Henrique Merten and Anderson Luis Ruhoff},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1455-1462},
Volume = {34},
Year = {2010},
Abstract = {Methods of spatial representation to calculate the topographic factor (LS) of the Revised Universal Soil Loss Equation (USLE) have been used to estimate soil erosion and sediment yield of watersheds. These procedures are based on equations traditionally used to determine the LS factor and information that characterize the hillslope forms and processes, derived from the Digital Elevation Model (DEM). Two computational methods commonly used to calculate LS factor in soil erosion and sediment yield models were analyzed in this study. The analysis was performed in four small rural watersheds with hilly terrain. The LS values obtained by the methods of spatial representation were compared with each other with LS values measured by the traditional method. Results show significant differences of the computer- generated LS values, which were related to the calculation procedure and the method used to determine the DEM flow direction. Differences were also observed between the numeric values of the LS factor determined by methods of spatial representation and in the field.},
Doi = {10.1590/S0100-06832010000400041},
File = {MinellaEtAl2010.pdf:MinellaEtAl2010.pdf:PDF},
Keywords = {Revised Universal Soil Loss Equation, sediment yield, hillslope erosion, numeric terrain modeling, geographic information systems.},
Owner = {Administrador},
Timestamp = {2011.01.23}
}
@Phdthesis{Minella2007,
Title = {UTILIZAÇÃO DE TÉCNICAS HIDROSSEDIMENTOMÉTRICAS COMBINADAS COM A IDENTIFICAÇÃO DE FONTES DE SEDIMENTOS PARA AVALIAR O EFEITO DO USO E DO MANEJO DO SOLO NOS RECURSOS HÍDRICOS DE UMA BACIA HIDROGRÁFICA RURAL NO RIO GRANDE DO SUL},
Author = {Jean Paolo Gomes Minella},
Year = {2007},
File = {Minella2007.pdf:phdthesis/Minella2007.pdf:PDF}
}
@Mastersthesis{Minell2003,
Title = {Identificação de fontes de produção de sedimentos em uma pequena bacia rural},
Address = {Porto Alegre},
Author = {Jean Paolo Gomes Minella},
Pages = {80},
School = {Programa de Pós-Graduação em Recursos Hídricos e Saneamento Ambiental, Universidade Federal do Rio Grande do Sul},
Year = {2003},
File = {Minell2003.pdf:dissertação/Minell2003.pdf:PDF}
}
@Article{MirallesEtAl2009,
Title = {Soil quality and organic carbon ratios in mountain agroecosystems of South-east Spain},
Author = {Isabel Miralles and Raúl Ortega and Gonzalo Almendros and Manuel Sánchez-Marañón and Miguel Soriano},
Journal = {Geoderma},
Pages = {120-128},
Volume = {150},
Year = {2009},
Number = {1-2},
Abstract = {Soil physical and chemical characteristics as well as climatic and geomorphological factors have been determined in 68 sites of a mountain calcimorphic ecosystem (Sierra María-Los Vélez Natural Park, Almería) in Southeastern Spain. Land use and vegetation were natural pine forest, evergreen oak forest, reforested pine forest of different ages, bush, juniper forest, and olive, almond and cereal crops under conventional tillage. By using multivariate data treatments, 17 soil variables were processed. A large part of the total variability was controlled by local topographical features through their effect on moisture retention and vegetation. Most characteristics were significantly correlated with total organic C (mean = 28.5 ± 4.6 g kg? 1), which demonstrates the central role of the organic matter in the functioning of the whole ecosystem. New soil quality descriptors consisting of ratios to soil organic carbon were obtained, informing about the specific activity (per C unit) or performance of the organic matter, independently of its total content. When soil data are directly processed by using principal component analysis, we found a set of high quality soils under natural and old reforested forests, where environmental services provided by soil depend on the high levels of quality descriptors related to organic carbon, e.g. cation exchange capacity (CEC), total porosity, or aggregate stability. When variables such as CEC, porosity and aggregate stability are calculated as ratios to the total organic carbon, a new classification pattern is obtained, allowing to detect soils with organic matter of high maturity which in general do not coincide with soils with high organic matter content. The results suggest the assessment of soil quality based on ratios informing on the organic matter performance should be emphasized as an alternative to direct descriptors based on the total organic carbon content.},
File = {:Geoderma/Miralles et al_Geoderma_2009.pdf:PDF},
Keywords = {Forest soils; Cleared soils; Physico-chemical indicators; Aggregate stability/C; Porosity/C; Topographic attributes},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706109000299}
}
@Article{MirandaEtAl2007,
Title = {Caracterização da matéria orgânica do solo em fragmentos de Mata Atlântica e em plantios abandonados de eucalipto},
Author = {Cristiana Do Couto Miranda and Luciano Pasqualoto Canellas and Marcelo Trindade Nascimento},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {905-916},
Volume = {31},
Year = {2007},
Abstract = {A compreensão da dinâmica da matéria orgânica (MO) nos ecossistemas de Mata Atlântica é necessária para o manejo eficiente e conservação de vegetações nativas. A natureza química das substâncias húmicas (SHs) reflete os processos de gênese e uso do solo e pode ser usada como indicador da qualidade da MO. O objetivo deste estudo foi usar a qualidade da MO como sinalizador do ambiente edáfico em áreas de mata nativa, sobre Gleissolo Háplico Tb distrófico, argissólico e Cambissolo Háplico Tb distrófico, e em plantios abandonados de eucalipto de diferentes idades, sobre Argissolo Vermelho-Amarelo distrófico latossólico, localizados na Reserva Biológica União, RJ. Para isso, foram avaliadas as distribuições da MO humificada e os ácidos húmicos do solo por meio de métodos químicos e espectroscópicos, em duas profundidades do solo (0?0,10 e 0,10?0,20 m). Os solos da Reserva Biológica apresentaram fertilidade natural muito baixa, condição esta limitante para o processo de humificação. As SHs representaram, portanto, menos de 50 % do carbono prontamente oxidável, indicando que as substâncias não-húmicas compõem a maior parte da MO; portanto, a serrapilheira tem o papel central na nutrição das plantas e microrganismos. A distribuição relativa das frações que compõem a MO humificada não foi alterada pela cobertura vegetal nem pela classe de solo. Os ácidos húmicos apresentaram natureza química semelhante à normalmente encontrada para os ácidos fúlvicos, e tais características foram expressas no baixo conteúdo de C e nos elevados valores das razões H/C e O/C e da acidez, o que levou à formação de material humificado pouco condensado. A espectroscopia de infravermelho indicou o efeito do tipo de solo e da cobertura vegetal sobre a qualidade química dos ácidos húmicos. O material humificado isolado da Mata Atlântica apresentou maior intensidade de fluorescência, sugerindo maior labilidade e capacidade de ceder elétrons para reações químicas do solo.},
Keywords = {substâncias húmicas, fertilidade, solos florestais, solos tropicais},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v31n5/a08v31n5.pdf}
}
@Article{MizeEtAl1985,
Title = {Comparing treatment means correctly and appropriately},
Author = {Mize, C.W. and Schultz, R.C.},
Journal = {Canadian Journal of Forest Research},
Pages = {1142-1148},
Volume = {15},
Year = {1985},
Doi = {10.1139/x85-185},
Keywords = {multiple comparison},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.14},
Url = {http://dx.doi.org/10.1139/x85-185}
}
@Electronic{MoitaNeto2004,
Title = {Estatística multivariada - uma visão didática-metodológica},
Author = {J M MoitaNeto},
Year = {2004},
File = {MoitaNeto2004.pdf:Internet/MoitaNeto2004.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.04}
}
@Article{MollerEtAl2008,
Title = {Placing soil-genesis and transport processes into a landscape context: a multiscale terrain-analysis approach},
Author = {Markus Möller and Martin Volk and Klaus Friedrich and Leo Lymburner},
Journal = {Journal of Plant Nutrition and Soil Science},
Pages = {419-430},
Volume = {171},
Year = {2008},
Abstract = {Landforms and landscape context are of particular importance in understanding the processes of soil genesis and soil formation in the spatial domain. Consequently, many approaches for soil generation are based on classifications of commonly available digital elevation models (DEM). However, their application is often restricted by the lack of transferability to other, more hetero- geneous, landscapes. Part of the problem is the lack of broadly accepted definitions of topo- graphic location based on landscape context. These issues arise because of: (1) the scale dependencies of landscape pattern and processes, (2) different DEM qualities, and (3) different expert perceptions. To address these problems, we suggest a hierarchical terrain-classification procedure for defining landscape context. The classification algorithm described in this paper handles object detection and classification separately. Landscape objects are defined at multiple scales using a region-based segmentation algorithm which allows each object to be placed into a hierarchical landscape context. The classification is carried out using the terrain attribute mass-balance index across a range of scales. Soil genesis and transport processes at estab- lished field sites were used to guide the classification process. The method was tested in Sax- ony-Anhalt (Germany), an area that contains heterogeneous land surfaces and soil substrates. The resulting maps represent adaptation degrees between classifications and 191 semantically identified random samples. The map with the best adaptation has an overall accuracy of 89%.},
Doi = {10.1002/jpln.200625039},
File = {MollerEtAl2008.pdf:MollerEtAl2008.pdf:PDF},
Keywords = {saga gis; mass balance index;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21}
}
@Book{Monmonier1991,
Title = {How to lie with maps},
Address = {Chicago},
Author = {Mark Monmonier},
Pages = {176},
Publisher = {The University of Chicago Press},
Year = {1991},
Edition = {1},
File = {Monmonier1991.pdf:Monmonier1991.pdf:PDF},
Keywords = {soil mapping; cloropleth map; realization;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Article{MontanariEtAl2008,
Title = {Variabilidade espacial de atributos químicos em Latossolo e Argissolos},
Author = {Rafael Montanari and Gener Tadeu Pereira and José Marques.Júnior and Zigomar Menezes Souza and Renato Junqueira Pazeto and Lívia Arantes Camargo},
Journal = {Ciência Rural},
Pages = {1266-1272},
Volume = {38},
Year = {2008},
Abstract = {O trabalho teve como objetivo caracterizar a variabilidade espacial de atributos químicos de Latossolos e Argissolos, sob cultivo de cana-de-açúcar em áreas com variações na forma do relevo. No presente estudo utilizou-se duas áreas, sendo uma em Latossolo em pedoforma convexa (158ha) e a outra em Argissolo na pedoforma linear (172ha). Foi coletada amostra de solo em malha na profundidade de 0,00-0,50m, realizando-se análise química de cada ponto amostrado. Os maiores coeficientes de variação e alcances foram observados na pedoforma convexa (Latossolo). Portanto, o Latossolo inserido na pedoforma convexa apresentou maior variabilidade espacial para os atributos químicos em relação ao Argissolo na pedoforma linear. O latossolo inserido pedoforma convexa necessita de maior número de pontos de coleta por apresentar maior variabilidade espacial. Recomenda-se que o intervalo de amostragem seja igual ao alcance da dependência espacial, para associar menor esforço de amostragem com maior representatividade.},
File = {:Ciência Rural/Montanari et al_Cienc Rural_2008.pdf:PDF},
Keywords = {Saccharum offcinarum, geoestatística, relação solo-paisagem.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://www.scielo.br/pdf/cr/v38n5/a10v38n5.pdf}
}
@Article{Monteiro2003,
Title = {A dimensão da pobreza, da desnutrição e da fome no Brasil},
Author = {Carlos Augusto Monteiro},
Journal = {Estudos Avançados},
Pages = {7-20},
Volume = {17},
Year = {2003},
Doi = {http://www.scielo.br/pdf/ea/v17n48/v17n48a02.pdf},
Owner = {pccli},
Timestamp = {2011.12.29}
}
@Article{DessolesEtAl2006,
Title = {Estudo do comportamento de RSU em uma célula experimental e suas correlações com aspectos microbiológicos, físicos e químicos},
Author = {Veruschka Escarião Dessoles Monteiro and Marcio Camargo Melo and Perboyre Barbosa Alcântara and Janete Magali Aráujo and Ingrid Roberta França Soares Alves and José Fernando Thomé Jucá},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {223-230},
Volume = {11},
Year = {2006},
File = {:Engenharia Sanitária e Ambiental/Monteiro et al_Eng Sanit Ambient_2006.pdf:PDF},
Keywords = {Resíduos Sólidos, Biodegradação, Recalque, Lisímetro.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.abes-dn.org.br/publicacoes/engenharia/resaonline/v11n03/v11n03a02_051_05.pdf}
}
@Inbook{Montello2001,
Title = {Scale in {G}eography},
Address = {Oxford},
Author = {Montello, D. R.},
Booktitle = {International encyclopedia of the social and behavioral sciences},
Editor = {N. J. Smelser and P. B. Baltes},
Pages = {13501-13504},
Publisher = {Pergamon Press},
Year = {2001},
Doi = {10.1016/b0-08-043076-7/02473-6},
File = {Montello2001.pdf:Montello2001.pdf:PDF},
ISBN = {http://id.crossref.org/isbn/9780080430768},
Keywords = {Scale; Resolution; Analysis; Phenomenon;},
Owner = {alessandro}
}
@Book{MontgomeryEtAl2012,
Title = {Introduction to Linear Regression Analysis},
Address = {Hoboken},
Author = {Douglas C. Montgomery and Elizabeth A. Peck and G. Geoffrey Vining},
Pages = {645},
Publisher = {Wiley},
Year = {2012},
Edition = {5},
ISBN = {0470542810},
Owner = {alessandro},
Url = {http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470542810.html}
}
@Article{MooreEtAl1988,
Title = {Topographic effects on the distribution of surface soil water and the location of ephemeral gullies},
Author = {Moore, I.D. and Burch, G.J. and Mackenzie, D.H.},
Journal = {Transactions of the ASAE},
Pages = {1098?1107},
Volume = {31},
Year = {1988},
Owner = {pccli},
Timestamp = {2012.01.31},
Url = {https://docs.google.com/viewer?a=v&q=cache:QUXl7ZPaWlIJ:elibrary.asabe.org/azdez.asp%3FJID%3D3%26AID%3D30829%26CID%3Dt1988%26v%3D31%26i%3D4%26T%3D2%26redirType%3D+Topographic+effects+on+the+distribution+of+surface+soilwater+and+the+location+of+ephemeral+gullies.&hl=pt-BR&gl=br&pid=bl&srcid=ADGEEShPQwcGAGaRORxnjh1YMh1GIZkf89NcjpQKtSLd4zXxPPjm20_V5OLDme-uHyhZyHwmFxTeOx76jBH7qMFJ8g_zt3M5bb10HF3UX9CVyZDTK01yIWuSCBOstS5TGUF9TIcLXV5y&sig=AHIEtbRObofpw3u5QFDNjcxTPom-NhBVPg}
}
@Article{MooreEtAl1993,
Title = {Soil attribute prediction using terrain analysis},
Author = {I. D. Moore and P. E. Gessler and G. A. Nielsen and G. A. Peterson},
Journal = {Soil Science Society of America Journal},
Pages = {443-452},
Volume = {57},
Year = {1993},
Doi = {10.2136/sssaj1993.03615995005700020026x},
File = {:Soil Science Society of America Journal/Moore et al_SSSAJ_1993.pdf:PDF},
Keywords = {redemds, stepwise; PhDpaper1},
Owner = {Administrador},
Timestamp = {2011.09.02}
}
@Article{MooreEtAl1991,
Title = {Digital terrain modelling: a review of hydrogical, geomorphological, and biological applications},
Author = {Moore, I. D. and Grayson, R. B. and Ladson, A. R.},
Journal = {Hydrological Processes},
Pages = {3-30},
Volume = {5},
Year = {1991},
Doi = {10.1002/hyp.3360050103},
File = {MooreEtAl1991.pdf:MooreEtAl1991.pdf:PDF},
Owner = {pccli},
Review = {THE MEANING OF PROCESS. According to the authors, compound attributes involve combinations of the primary attributes and are indices that describe or characterize the spatial variability of specific processes occurring in the landscape such as soil water content distribution or the potential for sheet erosion. But are the "soil water content distribution" or the "potential for sheet erosion" processes or features of the land surface? The authors also suggest that the compound indices can be used as surrogates of very complex hydrological, geomorphological, and biological processes. They suggest the use of the wetness and radiation indices to predict the spatial distribution of different plant species. I understand that using these DEM derivaties as predictor variables does not mean that the are surrogates of the processes, but instead they are descriptions of the land surface with are correlated with the spatial distribution of different plant species.},
Timestamp = {2012.01.31}
}
@Article{MoranEtAl1992,
Title = {Evaluation of simplified procedures for retrieval of land surface reflectance factors from satellite sensor output },
Author = {M.Susan Moran and Ray D. Jackson and Philip N. Slater and Philippe M. Teillet},
Journal = {Remote Sensing of Environment },
Pages = {169 - 184},
Volume = {41},
Year = {1992},
Number = {2–3},
Abstract = {In response to the need for a simple atmospheric correction method and the consequent verification of such a method, an experiment was conducted to acquire a data set suitable for testing atmospheric correction procedures under a variety of atmospheric conditions. Several procedures, including radiative transfer codes (RTCs) with simulated atmospheres, image-based procedures and dark-object subtraction (DOS), were evaluated by comparing surface reflectance factors derived from Landsat Thematic Mapper (TM) digital data with low-altitude, aircraft-based measurements for seven dates over a 1-year period. Acceptable results, approximately ± 0.02 reflectance (1 σ RMS), were achieved based on an \{RTC\} with appropriate simulated atmospheres. The \{DOS\} technique was the least accurate method and, in fact, produced greater error in estimations of near-IR reflectance than no correction at all. Two hybrid approaches, which combined the image-based nature of \{DOS\} with the precision of an RTC, provided sufficient accuracy and simplicity to warrant consideration for use on an operational basis. Though these results were probably site-specific (characterized by relatively low aerosol levels and low humidity), they illustrate the feasibility of simple atmospheric correction methods and the usefulness of a diverse data set for validation of such techniques. },
Doi = {http://dx.doi.org/10.1016/0034-4257(92)90076-V},
ISSN = {0034-4257},
Keywords = {atcorr; 6S; atmospheric correction;},
Url = {http://www.sciencedirect.com/science/article/pii/003442579290076V}
}
@Article{Mora-VallejoEtAl2008,
Title = {Small scale digital soil mapping in Southeastern Kenya},
Author = {Alejandra Mora-Vallejo and Lieven Claessens and Jetse Stoorvogel and Gerard B.M. Heuvelink},
Journal = {Catena},
Pages = {44-53},
Volume = {76},
Year = {2008},
Abstract = {Digital soil mapping techniques appear to be an interesting alternative for traditional soil survey techniques. However, most applications deal with (semi-)detailed soil surveys where soil variability is determined by a limited number of soil forming factors. The question that remains is whether digital soil mapping techniques are equally suitable for exploratory or reconnaissance soil surveys in more extensive areas with limited data availability. We applied digital soil mapping in a 13,500 km2 study area in Kenya with the main aim to create a reconnaissance soil map to assess clay and soil organic carbon contents in terraced maize fields. Soil spatial variability prediction was based on environmental correlation using the concepts of the soil forming factors equation. During field work, 95 composite soil samples were collected. Auxiliary spatially exhaustive data provided insight on the spatial variation of climate, land cover, topography and parent material. The final digital soil maps were elaborated using regression kriging. The variance explained by the regression kriging models was estimated as 13% and 37% for soil organic carbon and clay respectively. These results were confirmed by cross-validation and provide a significant improvement compared to the existing soil survey.},
Doi = {10.1016/j.catena.2008.09.008},
File = {Mora-VallejoEtAl2008.pdf:Catena/Mora-VallejoEtAl2008.pdf:PDF},
Keywords = {Soil survey, Digital soil mapping, Regression kriging, Kenya},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{MoreiraEtAl2004,
Title = {Organic matter dynamics in the recovery of clearings of the Amazon forest, Brazil},
Author = {Adônis Moreira and Danielle Gonçalves Costa},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {1013-1019},
Volume = {39},
Year = {2004},
Number = {10},
Abstract = {The removal of native forest as well as of the surface soil horizons causes a significant decrease of microbial biomass and soil fertility. A slow and continuous recovery of the amount and of the quality of organic matter occurs in these areas, with reforestation. The objective of this work was to evaluate the fertility, organic matter and microbial biomass dynamics in areas reforested at different ages. The reforested clearings were set up in 2003, 2002, 2001, 1999 and 1993, with native regional species. The soil fertility was associated to soil organic matter content. The reforestation increased significantly the organic matter and the microbial biomass after the fourth year, and this indicates the need of an initial soil supply of carbon content, which can be provided by grasses or legumes used for forage.},
Doi = {10.1590/S0100-204X2004001000009},
Keywords = {microbial biomass, reflorestation, soil tillage},
Owner = {Administrador},
Timestamp = {2011.08.16},
Url = {http://www.scielo.br/pdf/pab/v39n10/22323.pdf}
}
@Article{MoreiraEtAl2009,
Title = {Aplicação de métodos geofísicos no monitoramento de área contaminada sob atenuação natural},
Author = {César Augusto Moreira and Antonio Celso Oliveira Braga},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {257-264},
Volume = {14},
Year = {2009},
Abstract = {Estudos geofísicos em áreas impactadas por derivados de petróleo descrevem anomalias tanto de baixa quanto de elevada resistividade, confirmada como fase contaminante por meio de análises químicas. Esta aparente contradição pode refletir processos de degradação, associada ao tempo de residência de contaminantes no meio, por meio da geração de subprodutos que alteram as propriedades físicas do meio, principalmente pela dissolução mineral por ação de ácidos orgânicos e pela neoformação de minerais de óxidos e hidróxidos de ferro. Este trabalho apresenta resultados da aplicação do método de eletrorresistividade e polarização induzida em uma área industrial contaminada por benzeno, tolueno, xileno, 1,2 dicloroetano e sais inorgânicos, em processo de atenuação natural. Os resultados indicam a neoformação mineral no centro e nas adjacências da área contaminada, conforme sugerem as alterações apontadas nos parâmetros físicos medidos.},
File = {:Engenharia Sanitária e Ambiental/Moreira & Braga_Eng Sanit Ambient_2009.pdf:PDF},
Keywords = {mineralização; cargabilidade; resistividade; atenuação natural; biodegradação; fase líquida não-aquosa.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.scielo.br/pdf/esa/v14n2/a13v14n2.pdf}
}
@Article{MoreiraEtAl2003,
Title = {"História e epistemologia da física" na licenciatura em física: uma disciplina que busca mudar concepções dos alunos sobre a natureza da ciência},
Author = {Marco Antonio Moreira and Neusa Teresinha Massoni and Fernanda Ostermann},
Journal = {Revista Brasileira de Ensino de Física},
Pages = {127-134},
Volume = {29},
Year = {2003},
File = {MoreiraEtAl2003.pdf:Revista Brasileira de Ensino de Fisica/MoreiraEtAl2003.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.14}
}
@Book{Morin1986,
Title = {Para sair do século XX - as grandes questões do nosso tempo},
Address = {Rio de Janeiro},
Author = {Edgar Morin},
Pages = {361},
Publisher = {Nova Fronteira},
Year = {1986},
Edition = {1},
Owner = {pccli},
Timestamp = {2011.12.28}
}
@Article{MorisadaEtAl2004,
Title = {Organic carbon stock in forest soils in Japan},
Author = {Kazuhito Morisada and Kenji Ono and Hidesato Kanomata},
Journal = {Geoderma},
Pages = {21-32},
Volume = {119},
Year = {2004},
Abstract = {An accurate estimate of the organic carbon stock in the soil in a country allows the global estimate to be refined. This study estimated the organic carbon stock in forest soil in Japan using available data. Forest soil was classified into 15 soil units, and the extent of each soil unit was determined using digital soil and land use data. A representative value of the organic carbon density for each unit was determined from 3391 soil profiles obtained in a nationwide soil survey. The mean organic carbon density of the forest soils differed in each soil unit; the density to a depth of 1 m ranged from 33.0 kg m 2 for Black soils (Andisols) to 8.2 kg m 2 for Immature soils (Regosols). The variation within soil units was also large, and the coefficient of variation was almost 40%. The area-weighted average organic carbon density was 9.0 kg m 2 in the first 30 cm of soil, and 18.8 kg m 2 in the upper 1 m. The estimated total organic carbon stock in the forest soils of Japan was 4570F500 Tg (1 Tg = 1012 g) in the first 1 m (F95% confidence limit), excluding carbon held in the surface organic horizons and buried horizons. The Brown forest soils group (mostly Cambisols) made the largest contribution, with over 3000 Tg C. Forty-eight percent of the total organic carbon stock (2180 Tg C) was contained in the top 30 cm. The contribution of the surface layers to the organic carbon was clear. The wide variation in organic carbon density by soil type and the high density of organic carbon on a national scale in Japan is related to the distribution of volcanic ejecta. The concentration of organic carbon in the surface layers implies that soil conservation is important both to maintain land productivity and to counter global warming. The analysis of variability in the organic carbon density with soil type demonstrated that estimation methods should be improved.},
Doi = {10.1016/S0016-7061(03)00220-9},
File = {:Geoderma/Morisada et al_Geoderma_2004.pdf:PDF},
Keywords = {Forest soil; National soil classification; Organic carbon density; Organic carbon stock; Japan},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{MorrisEtAl1995,
Title = {Exploratory designs for computational experiments},
Author = {Morris, Max D. and Mitchell, Toby J.},
Journal = {Journal of Statistical Planning and Inference},
Pages = {381–402},
Volume = {43},
Year = {1995},
Month = {Feb},
Number = {3},
Doi = {10.1016/0378-3758(94)00035-t},
File = {MorrisEtAl1995.pdf:MorrisEtAl1995.pdf:PDF},
ISSN = {0378-3758},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Inbook{Moser1990,
Title = {Solos},
Address = {Rio de Janeiro},
Author = {Moser, J. M.},
Booktitle = {Geografia do {B}rasil: {R}egião {S}ul},
Editor = {IBGE},
Pages = {85-111},
Publisher = {IBGE},
Year = {1990}
}
@Article{Mosier1951,
Title = {Problems and designs of cross-validation},
Author = {Mosier, Charles I.},
Journal = {Educational and Psychological Measurement},
Pages = {5-11},
Volume = {11},
Year = {1951},
Number = {1},
Doi = {10.1177/001316445101100101},
Eprint = {http://epm.sagepub.com/content/11/1/5.full.pdf+html},
Keywords = {redemds},
Url = {http://epm.sagepub.com/content/11/1/5.short}
}
@Article{Mostbauer2003,
Title = {Criteria selection for landfills: do we need a limitation on inorganic total content?},
Author = {Peter Mostbauer},
Journal = {Waste Management},
Pages = {547?554},
Volume = {23},
Year = {2003},
Doi = {10.1016/S0956-053X(03)00028-X},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{MottaEtAl2002,
Title = {Relações solo-superfície geomórfica e evolução da paisagem em uma área do Planalto Central Brasileiro},
Author = {Paulo Emilio Ferreira Motta and Amaury Carvalho.Filho and João Carlos Ker and Nilson Rendeiro Pereira and Waldir Carvalho.Junior and Philippe Blancaneaux},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {869-878},
Volume = {37},
Year = {2002},
Abstract = {Com base em levantamento pedológico de reconhecimento de alta intensidade, foram investigadas relações pedogeomorfológicas em uma área do Planalto Central Brasileiro, com vistas à predição de atributos e distribuição dos solos em áreas vizinhas carentes de mapas pedológicos. Três superfícies geomórficas, com distintos padrões de espacialização de solos, foram identificadas. Na mais elevada, a distribuição dos solos é estreitamente relacionada à variação do regime hídrico ao longo das encostas. Ocorrem Latossolo Vermelho (LV), Latossolo Vermelho-Amarelo (LVA), Latossolo Amarelo (LA), Latossolo Amarelo plíntico, Latossolo Amarelo petroplíntico (concrecionário) e Plintossolo Háplico, todos muito argilosos, com teores de Fe 2 O 3 e TiO 2 relativamente homogêneos e índices Ki e Kr indicativos de mineralogia oxídica. Na segunda superfície, os solos apresentam maior variação quanto à textura e teores de Fe e Ti. Predominam LV e LV acriférrico, além de LVA e LA. Nos limites com as chapadas, observa-se a ocorrência de LVA e LA acriférricos endopetroplínticos. Na terceira superfície, que disseca as anteriores, predominam solos menos intemperizados, com atributos muito variáveis, como Cambissolo Háplico, Argissolos Vermelho e Vermelho-Amarelo, Nitossolo Vermelho eutroférrico, Neossolo Litólico e Neossolo Flúvico. O trabalho inclui a proposição de um modelo de evolução para a paisagem regional.},
File = {:Pesquisa Agropecuária Brasileira/Motta et al_PAB_2002.pdf:PDF},
Keywords = {cerrados, pedogênese, aspectos morfológicos do solo, geomorfologia.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/pab/v37n6/10565.pdf}
}
@Misc{MouraBueno2012,
Title = {Soil erosion in the {P}lateau {B}order areas of the {R}io {G}rande do {S}ul state},
Author = {Jean Michel Moura-Bueno},
Note = {{U}ndergraduate {T}hesis},
Year = {2012},
Address = {Santa Maria},
File = {MouraBueno2012.pdf:MouraBueno2012.pdf:PDF},
Keywords = {DNOS; soil erosion;},
Owner = {Alessandro Samuel Rosa},
Pages = {37},
School = {Undergraduate Course in Agronomy. Federal University of Santa Maria},
Timestamp = {2012.10.07},
Url = {http://1drv.ms/1jECraN}
}
@Article{Mowrer2000,
Title = {Uncertainty in natural resource decision support systems: sources, interpretation, and importance},
Author = {H.Todd Mowrer},
Journal = {Computers and Electronics in Agriculture},
Pages = {139 - 154},
Volume = {27},
Year = {2000},
Number = {1?3},
Abstract = {Decision support systems (DSS) have been defined as computer-based systems that integrate data sources with modeling and analytical tools; facilitate development, analysis, and ranking of alternatives; assist in management of uncertainty; and enhance overall problem comprehension. Of these capabilities, uncertainty assessment is the most poorly understood and implemented. Uncertainty assessment provides methodology to estimate the reliability of recommended alternatives, to place confidence intervals about the most likely outcome, or to quantify the likelihood of exceeding some environmental threshold. The extent to which this affects management decisions, and how it integrates with other management science disciplines such as risk assessment, remains largely unexplored territory. This paper briefly outlines sources of uncertainty in DSS, techniques for quantification, and then explores the relevance and importance of uncertainty in the larger decision-making context.},
Doi = {10.1016/S0168-1699(00)00113-7},
File = {Mowrer2000.pdf:Mowrer2000.pdf:PDF},
ISSN = {0168-1699},
Keywords = {Risk probability; Spatial probability; Propagation of error; Monte Carlo; redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0168169900001137}
}
@Manual{MoyesEtAl2012,
Title = {soiltexture: functions for soil texture plot, classification and transformation},
Author = {Julien Moyes and Wei Shangguan},
Year = {2012},
Note = {R package version 1.2.2},
Abstract = {"The Soil Texture Wizard" is a set of R functions designed to produce texture triangles (also called texture plots, texture diagrams, texture ternary plots), classify and transform soil textures data. These functions virtually allows to plot any soil texture triangle / classification into any triangle geometry (isosceles, right-angled triangles, etc.). This set of function is expected to be useful to people using soil textures data from different soil texture classification or different particle size systems. Several texture triangles are predefined: USDA; FAO (which is also the triangle for the soil map of Europe); Aisne (France); GEPPA (France); German triangles "Bodenkundliche Kartieranleitung 1994", "SEA 1974" and "TGL 1985"; Soil Survey of England and Wales; Australian triangle; Belgian triangle; Canadian triangle; ISSS triangle; Romanian triangle; Polish triangle.},
File = {MoyesEtAl2012.pdf:MoyesEtAl2012.pdf:PDF},
Keywords = {redemds; R project},
Url = {http://cran.r-project.org/web/packages/soiltexture/index.html}
}
@Inproceedings{MucsiEtAl2010,
Title = {Analysis of the relationship between urban land use and urban heat island using remote sensing methods},
Author = {L Mucsi and L Henits and J Unger},
Booktitle = {{Proceedings of the 30th EARSeL Symposium: Remote Sensing for Science, Education and Culture}},
Editor = {Rainer Reuter},
Pages = {155-164},
Year = {2010},
Address = {Paris},
Abstract = {Remote sensing has considerable potential for providing accurate, up-to-date information in urban areas. Urban remote sensing is complicated, however, by very high spectral and spatial complexity. In this paper, beside traditional per-pixel method (annual NDVI change detection using Landsat TM images), Normalized Endmember Spectral Mixture Analysis (NSMA) was applied to map urban land cover. The TM images were acquired over the city of Szeged, Hungary in 1986 and 2009. The urban land use categories were classified according to the standard deviation (SD) of NDVI values of 8 TM images in 1986. Significant linear connection was calculated between the SD values and the sub-pixel rate of impervious surfaces. Impervious surface, one of the most important elements of the VIS model, has been recognized as a key indicator in assessing of the change of the urban environment in the last 25 years in the city. Fractional images of impervious surfaces developed from LTM images acquired in 1986 and 2009 were compared with each other and with the SD image of NDVI values. The spatial statistical analysis of internal land use change was developed on the the traditional urban zones. Later, the urban land cover map was the main database for the estimation of spatial distribution of urban heat island. The result of the geostatistical analysis demonstrated a very strong connection between urban land cover classes and spatial characteristics of urban heat island.},
File = {MucsiEtAl2010.pdf:MucsiEtAl2010.pdf:PDF},
Institution = {UNESCO},
Journal = {Remote Sensing for Science, Education, and Natural and Cultural Heritage},
Keywords = {ndvi; urban land use, urban heat island, spectral mixture analysis, standard deviation of NDVI},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.20}
}
@Article{MugglerEtAl2006,
Title = {Educação em solos: princípios, teoria e métodos},
Author = {Cristine Carole Muggler and Fábio De Araújo and Vinícius Azevedo Machado},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {733-740},
Volume = {30},
Year = {2006},
Abstract = {O solo é um componente essencial do meio ambiente, cuja importância é normalmente desconsiderada e pouco valorizada. Assim, é necessário que se desenvolva uma ?consciência pedológica?, a partir de um processo educativo que privilegie uma concepção de sustentabilidade na relação homem-natureza. Existem múltiplas formas, tempos e espaços de promover a educação para o meio ambiente a partir de uma abordagem pedológica; esse conjunto de conteúdos e métodos constituem a Educação em Solos, que é indissociável da Educação Ambiental. A Educação em Solos tem como principal objetivo trazer o significado da importância do solo à vida das pessoas e, portanto, da necessidade da sua conservação e do seu uso e ocupação sustentáveis. Assim como a Educação Ambiental, a Educação em Solos coloca-se como um processo de formação que, em si, precisa ser dinâmico, permanente e participativo. Nessa perspectiva, foi criado o Programa de Educação em Solos e Meio Ambiente (PES) junto ao Museu de Ciências da Terra do Departamento de Solos da UFV, que atua na educação formal e não-formal na região de Viçosa. A base teórico-metodológica da prática pedagógica do PES baseia-se no construtivismo e nas idéias de Paulo Freire, utilizando-se a abordagem holística, os métodos participativos e a prática da pedagogia de projetos. A perspectiva Construtivista-Freiriana promove uma abordagem dos temas pedológico-ambientais com base não apenas na simples transmissão do conhecimento, mas também da investigação, da experimentação e do resgate e valorização do conhecimento prévio das pessoas. A abordagem de aspectos que são familiares e conhecidos das pessoas, possibilitando uma aprendizagem significativa, embute em si um grande potencial para consolidar mudanças de valores e atitudes, ou seja, para efetivar uma consciência ambiental/ planetária.},
Keywords = {educação ambiental, aprendizagem significativa, relação homem-ambiente},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{MugglerEtAl2000,
Title = {Erosion, sedimentation and pedogenesis in a polygenetic oxisol sequence in Minas Gerais, Brazil},
Author = {Cristine C. Muggler and Peter Buurman},
Journal = {CATENA},
Pages = {3 - 17},
Volume = {41},
Year = {2000},
Number = {1–3},
Abstract = {The geomorphic evolution of the south-eastern Brazilian landscape is attributed to climatic changes coupled with tectonic activity. Soils developed on the resulting surfaces are mainly deep polygenetic Oxisols. The combination of stable landscapes (with continuously exposed soils) and neo-Cenozoic graben zones (episodically filled with sediments that may have undergone soil formation) offers the possibility to unravel the history of the soils that are found at the present day surface. Soil-sediment sequences in the southern part of the state of Minas Gerais, Brazil were investigated by micromorphology and mineralogy in order to understand the genesis of the soils. Erosion (profile thinning), weathering, biological activity, clay accumulation and iron translocation are the main soil forming processes imprinted in the various pedosedimentary layers. Strong weathering is shown by dissolution of quartz and weathering of ilmenite. Bioturbation is ubiquitous even in older and deeper buried layers. Clay accumulation is observed as illuviation and precipitation features which were micromorphologically differentiated. Accumulation and movement of iron are represented by gley and pseudogley features, related to groundwater and surface-water saturation processes. These features and the layering of sediments and soils play key roles in understanding the evolutionary phases undergone by the soils and sediments. As main soil formation episodes, the graben fillings show two phases of clay formation and illuviation, separated by a phase of ferralitization, interrupted by various episodes of erosion. The whole material was eventually overprinted by a phase of ferralitization and plinthite formation. Apart from water saturation, these processes also appear to have acted on the soils of the stable areas (not affected by tectonic activity), but overprinting and erosion prevents recognition of the separate evolutionary phases.},
Doi = {10.1016/S0341-8162(00)00103-X},
File = {MugglerEtAl2000.pdf:MugglerEtAl2000.pdf:PDF},
ISSN = {0341-8162},
Keywords = {Brazil},
Url = {http://www.sciencedirect.com/science/article/pii/S034181620000103X}
}
@Article{MulderEtAl2011,
Title = {The use of remote sensing in soil and terrain mapping - a review},
Author = {V.L. Mulder and S. de Bruin and M.E. Schaepman and T.R. Mayr},
Journal = {Geoderma},
Pages = {1 - 19},
Volume = {162},
Year = {2011},
Number = {1?2},
Abstract = {This article reviews the use of optical and microwave remote sensing data for soil and terrain mapping with emphasis on applications at regional and coarser scales. Remote sensing is expected to offer possibilities for improving incomplete spatial and thematic coverage of current regional and global soil databases. Traditionally, remotely sensed imagery have been used to support segmentation of the landscape into rather homogeneous soil?landscape units for which soil composition can be established by sampling. Soil properties have also been inferred from optical and microwave data using physically-based and empirical methods. Used as a secondary data source, remotely sensed imagery may support spatial interpolation of sparsely sampled soil property data. Soil properties that have been measured using remote or proximal sensing approaches include mineralogy, texture, soil iron, soil moisture, soil organic carbon, soil salinity and carbonate content. In sparsely vegetated areas, successful use of space borne, airborne, and in situ measurements using optical, passive and active microwave instruments has been reported. On the other hand, in densely vegetated areas, soil data acquisition typically relied on indirect retrievals using soil indicators, such as plant functional groups, productivity changes, and Ellenberg indicator values. Several forms of kriging, classification and regression tree analyses have been used jointly with remotely sensed data to predict soil properties at unvisited locations aiming at obtaining continuous area coverage. We expect that remotely sensed data from existing platforms and planned missions can provide an important data source supporting digital soil mapping. Yet, most studies so far have been performed on a local scale and only few on regional or smaller map scale. Although progress has been made, current methods and techniques still bear potential to further explore the full range of spectral, spatial and temporal properties of existing data sources. For example, space borne spectroscopy has been of limited use in retrieving soil data when compared to laboratory or field spectroscopy. To date, there is no coherent methodology established, where approaches of spatial segmentation, measurements of soil properties and interpolation using remotely sensed data are integrated in a holistic fashion to achieve complete area coverage. Such approaches will enhance the perspectives of using remotely sensed data for digital soil mapping.},
Doi = {10.1016/j.geoderma.2010.12.018},
File = {MulderEtAl2011.pdf:MulderEtAl2011.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Soil and terrain mapping, Remote and proximal sensing, Radar, Optical sensing, Digital soil mapping},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706110003976}
}
@Article{MulderEtAl2013,
Title = {Representing major soil variability at regional scale by constrained {L}atin hypercube sampling of remote sensing data},
Author = {Mulder, V L and de Bruin, S and Schaepman, M E},
Journal = {International Journal of Applied Earth Observation and Geoinformation},
Pages = {301-310},
Volume = {21},
Year = {2013},
Month = {Apr},
Doi = {10.1016/j.jag.2012.07.004},
File = {MulderEtAl2013.pdf:MulderEtAl2013.pdf:PDF},
ISSN = {0303-2434},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics; Access;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{MulderEtAl2013a,
Title = {Quantifying mineral abundances of complex mixtures by coupling spectral deconvolution of {SWIR} spectra (2.1-2.4 μm) and regression tree analysis},
Author = {Mulder, V. L. and Plötze, M. and de Bruin, S. and Schaepman, M. E. and Mavris, C. and Kokaly, R. F. and Egli, M.},
Journal = {Geoderma},
Pages = {279-290},
Volume = {207-208},
Year = {2013},
Month = {Oct},
Doi = {10.1016/j.geoderma.2013.05.011},
File = {MulderEtAl2013a.pdf:MulderEtAl2013a.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Best Paper in Pedometrics 2013;},
Publisher = {Elsevier BV}
}
@Article{MuellerEtAl2004,
Title = {Soil organic matter turnover as a function of the soil clay content: consequences for model applications},
Author = {T. Müller and H. Höper},
Journal = {Soil Biology and Biochemistry},
Pages = {877-888},
Volume = {36},
Year = {2004},
Abstract = {Based on a literature review including 201 surface soils from wet, mild, mid-latitude climates and 290 soils from the Lower Saxony soil monitoring programme (Germany), we investigated the relationship between soil clay content and soil organic matter turnover. The relationship was then used to evaluate the clay modi?er for microbial decomposition in the organic matter module of the soil?plant? atmosphere model DAISY. A positive relationship was found between soil clay content and soil microbial biomass (SMB) C. Furthermore, a negative relationship was found between soil clay content and metabolic quotient (qCO 2 ) as an indicator of speci?c microbial activity. Both ?ndings support the hypothesis of a clay dependent capacity of soils to protect microbial biomass. Under the differing conditions of practical agriculture and forestry, no or only very weak relationships were found between soil clay content and non-living soil organic matter C (humus C). It is concluded that the stabilising effect of clay is much stronger for SMB than for humus. This is in contrast to the DAISY clay modi?er assuming the same negative relationship between soil clay content, on the one hand, and turnover of SMB and turnover of soil humus on the other. There is a positive relationship between SMB and microbial decomposition activity under steady-state conditions (microbial growth < microbial death). The original concept of a biomass-independent simulation of organic matter turnover in the DAISY model must therefore be rejected. In addition to the original modi?ers of organic matter turnover, a modi?er based on the pool size of decomposing organisms is suggested. Priming effects can be simulated by applying this modi?er. When using this approach, the original modi?ers are related to speci?c microbial activity. The DAISY clay modi?er is a useful approximation of the relationship between the metabolic quotient (qCO 2 ) as an indicator of speci?c microbial activity and soil clay content.},
Doi = {10.1016/j.soilbio.2003.12.015},
Keywords = {Metabolic quotient; qCO 2 ; Soil microbial biomass; Clay content; Microbial activity; Soil respiration; DAISY; Soil organic matter turnover},
Owner = {Alessandro},
Timestamp = {2011.01.03}
}
@Book{Mueller2007,
Title = {Collecting spatial data - optimum design of experiments for random fields},
Address = {Berlin},
Author = {W G Müller},
Pages = {242},
Publisher = {Springer},
Year = {2007},
Doi = {10.1007/978-3-540-31175-1},
File = {Mueller2007.pdf:Mueller2007.pdf:PDF},
ISBN = {http://id.crossref.org/isbn/978-3-540-31174-4},
Keywords = {sampling; Optimization; Design; Pedometrics; DSM; D-Optimum; Muller;},
Owner = {alessandro}
}
@Article{MuellerEtAl1999,
Title = {Optimal designs for variogram estimation},
Author = {Müller, Werner G. and Zimmerman, Dale L.},
Journal = {Environmetrics},
Pages = {23-37},
Volume = {10},
Year = {1999},
Month = {Jan},
Number = {1},
Doi = {10.1002/(sici)1099-095x(199901/02)10:1<23::aid-env333>3.0.co;2-p},
File = {MuellerEtAl1999.pdf:MuellerEtAl1999.pdf:PDF},
ISSN = {1099-095X},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics; WarrickEtAl1987;},
Owner = {alessandro}
}
@Article{MuellerEtAl1995,
Title = {An algorithm for sampling optimization for semivariogram estimation},
Author = {Müller, Werner G. and Zimmerman, Dale L.},
Journal = {MODA4 — Advances in Model-Oriented Data Analysis},
Pages = {173–178},
Year = {1995},
Doi = {10.1007/978-3-662-12516-8_19},
ISBN = {http://id.crossref.org/isbn/978-3-662-12516-8},
ISSN = {1431-1968},
Publisher = {Springer Science + Business Media}
}
@Article{Mueller-GronbachEtAl1998,
Title = {Spatial adaption for predicting random functions},
Author = {Müller-Gronbach, Thomas and Ritter, Klaus},
Journal = {The Annals of Statistics},
Pages = {2264-2288},
Volume = {26},
Year = {1998},
Number = {6},
Abstract = {We study integration and reconstruction of Gaussian random functions with inhomogeneous local smoothness. A single realization may only be observed at a finite sampling design and the correct local smoothness is unknown. We construct adaptive two-stage designs that lead to asymptotically optimal methods. We show that every nonadaptive design is less efficient.},
Copyright = {Copyright © 1998 Institute of Mathematical Statistics},
File = {Mueller-GronbachEtAl1998.pdf:Mueller-GronbachEtAl1998.pdf:PDF},
ISSN = {00905364},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Dec., 1998},
Language = {English},
Owner = {alessandro},
Publisher = {Institute of Mathematical Statistics},
Url = {http://www.jstor.org/stable/120087}
}
@Article{MundryEtAl2009,
Title = {Stepwise Model Fitting and Statistical Inference: Turning Noise into Signal Pollution},
Author = {Mundry, Roger and Nunn, Charles L.},
Journal = {The American Naturalist},
Pages = {119–123},
Volume = {173},
Year = {2009},
Month = {Jan},
Number = {1},
Doi = {10.1086/593303},
File = {MundryEtAl2009.pdf:MundryEtAl2009.pdf:PDF},
Groups = {public},
ISSN = {1537-5323},
Keywords = {stepwise; variable selection;},
Owner = {alessandro},
Publisher = {University of Chicago Press},
Url = {http://dx.doi.org/10.1086/593303}
}
@Article{MurphyEtAl1962,
Title = {A modified single solution method for the determination of phosphate in natural waters},
Author = {J. Murphy and J.P. Riley},
Journal = {Analytica Chimica Acta },
Pages = {31 - 36},
Volume = {27},
Year = {1962},
Number = {0},
Abstract = {A single solution reagent is described for the determination of phosphorus in sea water. It consists of an acidified solution of ammonium molybdate containing ascorbic acid and a small amount of antimony. This reagent reacts rapidly with phosphate ion yielding a blue-purple compound which contains antimony and phosphorus in a 1:1 atomic ratio. The complex is very stable and obeys Beer's law up to a phosphate concentration of at least 2 μg/ml.The sensitivity of the procedure is comparable with that of the stannous chloride method. The salt error is less than 1 %. },
Doi = {http://dx.doi.org/10.1016/S0003-2670(00)88444-5},
File = {MurphyEtAl1962.pdf:MurphyEtAl1962.pdf:PDF},
ISSN = {0003-2670},
Url = {http://www.sciencedirect.com/science/article/pii/S0003267000884445}
}
@Article{MuttiahEtAl1996,
Title = {Waste disposal site selection using {GIS}-based simulated annealing},
Author = {Muttiah, R.S. and Engel, B.A. and Jones, D.D.},
Journal = {Computers \& Geosciences},
Pages = {1013–1017},
Volume = {22},
Year = {1996},
Month = {Nov},
Number = {9},
Doi = {10.1016/s0098-3004(96)00039-8},
File = {MuttiahEtAl1996.pdf:MuttiahEtAl1996.pdf:PDF},
ISSN = {0098-3004},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{MwigangaEtAl2005,
Title = {The impact of Mpererwe landfill in Kampala-Uganda, on the surrounding environment},
Author = {M. Mwiganga and F. Kansiime},
Journal = {Physics and Chemistry of the Earth},
Pages = {744?750},
Volume = {30},
Year = {2005},
Doi = {10.1016/j.pce.2005.08.016},
Keywords = {Contamination; Environmental impact; Mpererwe landfill; Solid wastes; Kampala; Uganda},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Book{Myatt2007,
Title = {Making sense of data - a practical guide to exploratory data analysis and data mining},
Author = {Glenn J. Myattmy},
Pages = {280},
Publisher = {Hoboken, New Jersey, USA: John Wiley and Sons},
Year = {2007},
Edition = {1},
File = {Myatt2007.pdf:Book/Myatt2007.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{MysgavEtAl2001,
Title = {Selecting a compatible open space use for a closed landfill site},
Author = {A. Mysgav and N. Perl and Y. Avnimelech},
Journal = {Landscape and Urban Planning},
Pages = {95-111},
Volume = {55},
Year = {2001},
Keywords = {Landfill, reclamation, open space},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0169204601001475}
}
@Article{Nabel2009,
Title = {The coordinates of truth},
Author = {Gary J. Nabel},
Journal = {Science},
Pages = {53-54},
Volume = {326},
Year = {2009},
Abstract = {The scienti? c method has driven conceptual inquiry for centuries and still forms the basis of scienti? c investi- gation. Yet, the hypothesis-based research paradigm itself has received scant atten- tion recently. Here, I propose an alternative model for this paradigm, based on decision, information, and game theory. Analysis of biomedical research efforts with this model may provide a framework for predicting their likely contributions to knowledge, assessing their impact on human health, and managing research priorities.},
File = {Nabel2009.pdf:Nabel2009.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.23}
}
@Article{NanniEtAl2006,
Title = {Spectral reflectance methodology in comparison to traditional soil analysis},
Author = {Marcos Rafael Nanni and J A M Demattê},
Journal = {Soil Science Society of America Journal},
Pages = {393?407},
Volume = {70},
Year = {2006},
Abstract = {Traditional soil analyses are expensive, time-consuming, and may also result in environmental pollutants. The objective of this study was to develop and evaluate a methodology to measure soil attributes using spectral reflectance (SR) as an alternative to traditional methods. Tropical Brazilian soils were sampled over a 196-ha area divided into grids. Samples (n = 184) were obtained from the 0- to 20- and 80- to 100-cm depths and georeferenced. The laboratory SR data were obtained using a Spectroradiometer (400?2 500 nm). Satellite reflectance values were sampled from corrected Landsat Thematic Mapper (TM) images. Particle-size distribution and chemical analysis (organic matter [OM], cation-exchange capacity [CEC], total SiO2, Fe2 O3, TiO2, sum of cations, cation, and Al saturation) were performed in the laboratory. Statistical analysis and multiple regression equations for soil attribute predictions using radiometric data were developed. Laboratory data used 22 bands and 13 ??Reflectance Inflexion Differences, RID?? from different wavelength intervals of the optical spectrum. However, the satellite data used only the reflectance of the 1, 2, 3, 4, 5, and 7 TM-Landsat bands. Multiple regression equations were derived from surface and subsurface soil layers. Estimations of some tropical soil attributes were possible using laboratory spectral analysis. Laboratory SR yielded high correlations with traditional laboratory analyses (R2 > 0.79) for the soil attributes such as clay, sand, TiO2, and Fe2O3. Satellite spectral data correlated well with most of the soil attributes such as clay, Fe2O3, and TiO2 (reaching R2 = 0.72). The use of soil analysis methodology by satellite and/or ground remote sensing constitutes an alternative to traditional routine laboratory analysis.},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {https://www.soils.org/publications/sssaj/articles/70/2/393}
}
@Misc{NASA2010,
Title = {Landsat TM scene 20101226_223_080},
Author = {NASA Landsat Program,},
Month = {12},
Year = {2010},
Address = {Cachoeira Paulista},
Owner = {alessandro},
Publisher = {INPE - Instituto Nacional de Pesquisas Espaciais},
Timestamp = {31.10.2013}
}
@Article{NascimentoEtAl2003,
Title = {Determinação da classe textural de amostras de terra através de planilha eletrônica},
Author = {Geovane Barbosa Nascimento And Marcos Gervásio Pereira And Lúcia Helena Cunha Anjos And Elizene Damasceno Rodrigues Soares And Márcio Rogério Piratello Freitas Souza},
Journal = {Revista Universidade Rural: Série Ciências da Vida},
Pages = {2003},
Volume = {23},
Year = {2003},
Abstract = {Apresenta-se um arquivo de dados capaz de determinar a classe textural de amostras de terra a partir de planilha eletrônica. As classes de textura estão de acordo com os padrões da Sociedade Brasileira de Ciên- cia do Solo. O uso da planilha eletrônica permite a redução de tempo e de erros de identifi cação da classe textural, principalmente quando são utilizados um grande número de amostras. A planilha poderá servir como ferramenta aplicada em banco de dados de solos, contribuindo para a redução das tarefas de identifi cação da classe textural e digitação dos resultados.},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.19}
}
@Article{NascimentoEtAl2010,
Title = {Mapeamento geomorfológico da área abrangida pela carta topográfica de {{S}anta {M}aria - RS} como subsídio ao planejamento ambiental},
Author = {Marilene Dias Nascimento and {PENNA E SOUZA}, Bernardo Syão},
Journal = {Revista Brasileira de Geomorfologia},
Pages = {83-90},
Volume = {11},
Year = {2010},
Number = {2},
File = {NascimentoEtAl2010.pdf:NascimentoEtAl2010.pdf:PDF},
Keywords = {geomorfologia; dnos; geologia; caturrita;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.12}
}
@Article{Nascimento.FilhoEtAl2001,
Title = {Estudo de compostos orgânicos em lixiviado de aterros sanitários por EFS e CG/EM},
Author = {Irajá Nascimento.Filho and Carin von Mühlen and Elina Bastos Caramão},
Journal = {Química Nova},
Pages = {554-556},
Volume = {24},
Year = {2001},
Keywords = {landfill leachate; gas chromatography; SPE; GC/MSD.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.scielo.br/pdf/qn/v24n4/a17v24n4.pdf}
}
@Article{Nash2008,
Title = {{Teaching statistics with Excel 2007 and other spreadsheets}},
Author = {John C. Nash},
Journal = {Computational Statistics and Data Analysis},
Pages = {4602 - 4606},
Volume = {52},
Year = {2008},
Number = {10},
Abstract = {This article considers which activities in teaching statistics may be suitable candidates for the application of spreadsheets, and whether spreadsheets in general and Excel 2007 in particular are suitable for these tasks.},
Doi = {10.1016/j.csda.2008.03.008},
File = {Nash2008.pdf:Nash2008.pdf:PDF},
ISSN = {0167-9473},
Url = {http://www.sciencedirect.com/science/article/pii/S0167947308001643}
}
@Article{Navalgund2002,
Title = {Remote sensing. 2 - sensors and platforms},
Author = {Rangnath R Navalgund},
Journal = {Resonance},
Pages = {37-46},
Volume = {7},
Year = {2002},
Number = {1},
File = {Navalgund2002.pdf:Navalgund2002.pdf:PDF},
Keywords = {radar; sensoriamento remoto;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.13}
}
@Techreport{Neal1993,
Title = {Probabilistic inference using Markov Chain Monte Carlo methods},
Author = {Radford Neal},
Year = {1993},
File = {Neal1993.pdf:techreport/Neal1993.pdf:PDF},
Institution = {Department of Computer Science, University of Toronto, Toronto},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@Article{Nearing2000,
Title = {Evaluating soil erosion models using measured plot data: accounting for variability in the data},
Author = {Mark Nearing},
Journal = {Earth Surface Processes and Landforms},
Pages = {1035-1043},
Volume = {25},
Year = {2000},
Abstract = {One ofthe important methods used to evaluate the effectiveness of soil erosion models is to compare the predictions given by the model to measured data from soil loss collected on plots taken under natural rainfall conditions. While it is recognized that plot data contain natural variability, this factor is not quantitatively considered during such evaluations because our knowledge of natural variability between plots which have the same treatments is very limited. The goal of this study was to analyse sufficient replicated plot data and present methodology to allow the model evaluator to take natural, within- treatment variability of erosion plots into account when models are tested. A large amount of data from pairs of replicated erosion plots was evaluated and quantified. The basis for the evaluation method presented is that if the difference between the model prediction and a measured plot data value lies within the population of differences between pairs of measured values, then the prediction is considered `acceptable'. A model `effectiveness' coefficient was defined for studies undertaken on large numbers of prediction versus measured data comparisons. This method provides a quantitative criterion for taking into account natural variability and uncertainty in measured erosion plot data when those data are used to evaluate erosion models.},
File = {:Earth Surface Processes and Landforms/Nearing_Earth Surf Proc Land_2000.pdf:PDF},
Keywords = {soil erosion; soil conservation; soil erosion models; hydrology; surface water; sediment; spatial variability},
Owner = {Alessandro Samuel Rosa},
Timestamp = {27.07.2010},
Url = {http://ddr.nal.usda.gov/bitstream/10113/7023/1/IND43978943.pdf}
}
@Article{Nearing1998,
Title = {Why soil erosion models over-predict small lois losses and under-predict large soil losses},
Author = {M A Nearing},
Journal = {Catena},
Pages = {15-22},
Volume = {32},
Year = {1998},
Abstract = {Evaluation of varios soil erosion models with large data sets have consistently shown that these models tend to over-predict soil erosion for smalm measured values, and uder-predict soil erosion for larger measured values. This trend appears to be consistent regardless of whether the erosion value of interest for individual storm, annual totals, or average annual soil losses, and regardless of whether the model is empirical or physically based. The hypothesis presented herein is that this phenomenon is not necessarily associated with bias in model predictions as a function of treatment, but rather with limitations in representing the ramdom component of the measured data within treatments (i.e., between replicates) with a deterministic model. A simple exemple is presented, showing how even a "perfect" deterministic soil erosion model exhibits bias relative to small and large measured erosion rates. The concept is further tested and verified on a set of 3007 measured soil erosion data pairs from storms of natural rainfall and run-off plots using the best possible, unbiased, real-world model, i.e., the physical model presented by replicated plots. The results of this study indicate that the ommonly observed bias, in erosion prediction models relative to over-prediction of small and under-prediction of large measured erosion rates on inividual data points, is normal and expected if the model is accurately predicting erosion rates as a function of environmental conditions, i.e., treatments.},
Doi = {10.1016/S0341-8162(97)00052-0},
File = {Nearing1998.pdf:Catena/Nearing1998.pdf:PDF},
Keywords = {Soil erosion, sediment, hydrologic modeling; hydrology},
Owner = {Fatec},
Timestamp = {2010.07.27},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0341-8162(97)00052-0}
}
@Article{NearingEtAl1999,
Title = {Variability in soil erosion data from replicated plots},
Author = {Mark A. Nearing and Gerard Govers and L. Darrell Norton},
Journal = {Soil Science Society of America Journal},
Pages = {1829-1835},
Volume = {63},
Year = {1999},
Abstract = {Understanding and quantifying the large, unexplained variability in soil erosion data are critical for advancing erosion science, evaluating soil erosion models, and designing erosion experiments. We hypothesized that it is possible to quantify variability between replicated soil erosion field plots under natural rainfall, and thus determine the principal factor or factors which correlate to the magnitude of the variability. Data from replicated plot pairs for 2061 storms, 797 annual erosion measurements, and 53 multi-year erosion totals were used. Thirteen different soil types and site locations were represented in the data. The relative differences between replicated plot pair data tended to be lesser for greater magnitudes of measured soil loss, thus indicating that soil loss magnitude was a principal factor for explaining variance in the soil loss data. Using this assumption, we estimated the coefficient of variation of within-treatment, plot replicate values of measured soil loss. Variances between replicates decreased as a power function (r 2 5 0.78) of measured soil loss, and were independent of whether the measurements were event-, annual-, or multi-year values. Coefficients of variation ranged on the order of 14% for a measured soil loss of 20 kg/m 2 to greater than 150% for a measured soil loss of less than 0.01 kg/m2. These results have important implications for both experimental design and for using erosion data to evaluate prediction capability for erosion models.},
File = {:Soil Science Society of America Journal/Nearing et al_SSSAJ_1999.pdf:PDF},
Owner = {Fatec},
Timestamp = {2010.07.27},
Url = {http://soil.scijournals.org/cgi/content/abstract/63/6/1829}
}
@Article{Nelder1966,
Title = {Inverse Polynomials, a Useful Group of Multi-Factor Response Functions},
Author = {Nelder, J. A.},
Journal = {Biometrics},
Pages = {128--141},
Volume = {22},
Year = {1966},
Month = mar,
Number = {1},
File = {Nelder1966.pdf:Nelder1966.pdf:PDF},
ISSN = {0006341X},
Owner = {alessandro},
Publisher = {International Biometric Society},
Timestamp = {05.03.2014},
Url = {http://www.jstor.org/stable/2528220}
}
@Article{NelderEtAl1972,
Title = {Generalized Linear Models},
Author = {Nelder, J. A. and Wedderburn, R. W. M.},
Journal = {Journal of the Royal Statistical Society. Series A (General)},
Pages = {pp. 370-384},
Volume = {135},
Year = {1972},
Number = {3},
Abstract = {The technique of iterative weighted linear regression can be used to obtain maximum likelihood estimates of the parameters with observations distributed according to some exponential family and systematic effects that can be made linear by a suitable transformation. A generalization of the analysis of variance is given for these models using log-likelihoods. These generalized linear models are illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables) and gamma (variance components). The implications of the approach in designing statistics courses are discussed.},
Copyright = {Copyright © 1972 Royal Statistical Society},
File = {NelderEtAl1972.pdf:NelderEtAl1972.pdf:PDF},
Groups = {public},
ISSN = {00359238},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1972},
Keywords = {glm; analysis of variance; contingency tables; exponential families; inverse polynomials; linear models; maximum likelihood; quantal response; regression; variance components; weighted least squares},
Language = {English},
Publisher = {Blackwell Publishing for the Royal Statistical Society},
Url = {http://www.jstor.org/stable/2344614},
Username = {samuel-rosa}
}
@InCollection{NelsonEtAl2009,
Title = {DEM Production Methods and Sources},
Author = {A. Nelson and H.I. Reuter and P. Gessler},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {3},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {65 - 85},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00003-2},
File = {NelsonEtAl2009.pdf:NelsonEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {the most common data sources for DEM data},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-C/2/d09aac3904940dc3e086a004de5dad5a}
}
@Article{NelsonEtAl1975,
Title = {A rapid and accurate procedure for estimation of organic carbon in soils},
Author = {Nelson, D W and Sommers, L E},
Journal = {Proceedings - Indiana Academy of Science},
Pages = {456-462},
Volume = {84},
Year = {1975},
File = {NelsonEtAl1975.pdf:NelsonEtAl1975.pdf:PDF},
Keywords = {soil; laboratory; analysis; methods;},
Owner = {alessandro},
Timestamp = {03.09.2013},
Url = {https://journals.iupui.edu/index.php/ias/article/viewFile/8191/8151}
}
@Article{NelsonEtAl2011,
Title = {An error budget for different sources of error in digital soil mapping},
Author = {Nelson, M. A. and Bishop, T. F. A. and Triantafilis, J. and Odeh, I. O. A.},
Journal = {European Journal of Soil Science},
Pages = {417–430},
Volume = {62},
Year = {2011},
Month = {Jun},
Number = {3},
Doi = {10.1111/j.1365-2389.2011.01365.x},
File = {NelsonEtAl2011.pdf:NelsonEtAl2011.pdf:PDF},
ISSN = {1351-0754},
Keywords = {DEM; DSM: pedometrics; LiDAR; PhDpaper1},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{NelsonEtAl1986,
Title = {Interpretation of significance levels and effect sizes by psychological researchers},
Author = {Nanette Nelson and Robert Rosenthal and Ralph L. Rosnow},
Journal = {American Psychologist},
Year = {1986},
Abstract = {How do American psychologists use statistical results and related information to interpret research evidence? On the one hand, decision making in our field has traditionally been guided primarily by significance testing, using a Neyman?Pearson framework to make a decision to reject or not to reject a null hypothesis. Convention has dictated that the .05 significance level be regarded as the critical level to detect the presence of a real difference or a real effect. To be sure, in a given situation it is a personal decision to regard a particular p value as low enough to make us question the validity of the null hypothesis. On the other hand, Fisherian ideas, such as regarding conclusions as always provisional and in the nature of progress reports, have shown resurgent vigor as an alternative framework for decision making.},
File = {NelsonEtAl1986.pdf:NelsonEtAl1986.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.23},
Url = {http://psycnet.apa.org/journals/amp/41/11/1299.html}
}
@Article{NesiEtAl2005,
Title = {Orthogonal decomposition of treatment degrees of freedom using auxiliar variables and the {PROC} {GLM/SAS}},
Author = {Cristiano Nunes Nesi and Antonio A.F. Garcia},
Journal = {Bragantia},
Pages = {157-167},
Volume = {64},
Year = {2005},
Abstract = {Os testes de hipóteses têm sido amplamente utilizados, em análise de variância, para se concluir a respeito das fontes de variação. O teste F, em análise de variância para tratamentos com mais de um grau de liberdade, proporciona informações gerais, relacionadas com o comportamento médio dos tratamentos. Informações mais específicas são obtidas por meio de desdobramentos ortogonais dos graus de liberdade, comumente empregando contrastes. Entretanto, essa técnica torna-se complexa e de difícil implementação à medida que o número de tratamentos aumenta. Diante desse fato, utilizando-se como exemplo do uso da técnica, dados provenientes de um experimento de competição entre nove híbridos de milho, classificados em três tipos (simples, duplo e triplo), no delineamento em blocos casualizados, explicitou-se o emprego das variáveis auxiliares, que facilitam o desdobramento ortogonal dos graus de liberdade de tratamentos. Cada fator no modelo, após a decomposição, recebe uma codificação específica, tendo como valor, o nível do fator quando o tratamento for desse tipo, ou valor zero em caso contrário. O uso de variáveis auxiliares é uma forma simples e prática para determinar diferenças dentro dos grupos de interesse, embora não seja possível testar diretamente diferenças entre os grupos, o que pode também ser feito com a função CONTRAST do PROC GLM do SAS, mas não de forma tão simples.},
Doi = {10.1590/S0006-87052005000100017},
File = {NesiEtAl2005.pdf:NesiEtAl2005.pdf:PDF},
Keywords = {desdobramento ortogonal, contrastes, variáveis auxiliares; multiple comparison},
Language = {english},
Owner = {Alessandro Samuel-Rosa},
Publisher = {scielo},
Timestamp = {2012.03.03},
Url = {http://dx.doi.org/10.1590/S0006-87052005000100017}
}
@Book{NetelerEtAl2008,
Title = {Open source {GIS} - a {GRASS} {GIS} approach},
Address = {New York},
Author = {Markus Neteler and Helena Mitasova},
Pages = {406},
Publisher = {Springer},
Year = {2008},
Edition = {3},
File = {NetelerEtAl2008.pdf:NetelerEtAl2008.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.13}
}
@Inbook{NetoEtAl2006,
Title = {Monitoramento da contaminação provocada por lixiviados de aterros sanitários},
Author = {P.M. Santos Neto and S. Koide and W.G. Mattias and V.M. Zanta and A.B. Castilhos Junior and I.N. Firta and M.S.S. May},
Booktitle = {Gerenciamento de resíduos sólidos urbanos com ênfase na proteção de corpos d'água: prevenção, geração e tratamento de lixiviados de aterros sanitários},
Editor = {Armando Borges de Castilhos Junior},
Pages = {425-475},
Publisher = {Rio de Janeiro: ABES},
Year = {2006},
Chapter = {8},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{NettletonEtAl1991,
Title = {The taxadjunct problem},
Author = {Nettleton, W.D. and B.R. Brasher and G. Borst.},
Journal = {Soil Science Society of America Journal},
Pages = {421-427},
Volume = {55},
Year = {1991},
File = {NettletonEtAl1991.pdf:Soil Science Society of America Journal/NettletonEtAl1991.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.25}
}
@InCollection{NettoEtAl2006,
Title = {Visible-NIR Hyperspectral Imagery for Discriminating Soil Types in the La Peyne Watershed (France)},
Author = {J.S. Madeira Netto and J.-M. Robbez-Masson and E. Martins},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {17},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {219 - 233, 611},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Remotely sensed data might be an important tool for acquiring geographical information about soil attributes especially in areas where the soil surface is permanently or temporarily exposed, as in the extensive vineyard region of the Languedoc Roussillon region of France. By providing detailed spectral signature for every pixel, imaging spectrometry can potentially be used to identify the nature and abundance of some soil surface components. This chapter reports results obtained in the analysis of soil spectral data of the Low Languedoc Plains natural region of southern France acquired by an image spectrometer (Hyperspectral Mapper - HyMap) after laboratory calibration to make quantitative estimations of CaCO3 and clay content of surface soil horizons. Two different approaches for extracting information from soil reflectance spectra were used: (a) band depth analysis for estimating calcium carbonate and clay abundances and (b) a redness index to identify soil colour variations. Validation data are available on surface soil samples as visible-NIR and X-ray spectra, and chemical characterisations. For areas with soils developed from sedimentary materials of variable calcium carbonate and particle-size composition, we have demonstrated the possibility of obtaining quantitative information for CaCO3 content from the intensity of absorption of the feature centred at 2341 nm. CaCO3 estimates were highly satisfactory and at least as good as field effervescence test usually used in fieldwork. Clay particle-size content classes can also be estimated using the absorption depth of the clay minerals absorption feature at 2206 nm. Redness index along with clay and CaCO3 estimates allows characterisation and explanation of the intra-unit variability of a pre-existing 1:100,000 soil map, and could be further used as new covariates in order to refine limits or segment existing units.},
Doi = {DOI: 10.1016/S0166-2481(06)31017-3},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-X/2/4d384c10833e8237dc65c995e390b74b}
}
@Article{NeumannEtAl2012,
Title = {Digital elevation models obtained by contour lines and {SRTM}/{T}opodata, for digital soil mapping},
Author = {Marina R Bilich Neumann and Henrique L Roig and Souza, André Luiz F de},
Journal = {Journal of Soil Science and Environmental Management},
Pages = {104-109},
Volume = {3},
Year = {2012},
Month = {May},
Number = {5},
Doi = {10.5897/JSSEM11.136},
File = {NeumannEtAl2012.pdf:NeumannEtAl2012.pdf:PDF},
Keywords = {DEM;}
}
@Phdthesis{Neumann2003,
Title = {The impact of the fragmentation and of the lands' format in the family farm systems},
Author = {P.S. Neumann},
Pages = {326},
School = {Universidade Federal de Santa Catarina, Florianópolis, SC},
Year = {2003},
Keywords = {Fragmentação e Parcelismo das Terras; Sistemas de Produção Agrícolas; Reordenamento Fundiário},
Owner = {Administrador},
Timestamp = {2011.01.19}
}
@Article{NevesEtAl2004,
Title = {Estoque de carbono em sistemas agrossilvopastoril, pastagem e eucalipto sob cultivo convencional na região noroeste do estado de Minas Gerais},
Author = {Cláudia M.N. Neves and Marx L.N. Silva and Nilton Curi and Renato L.G. Macedo and Alessandra Mayumi Tokura},
Journal = {Ciência e Agrotecnologia},
Pages = {1038-1046},
Volume = {28},
Year = {2004},
Abstract = {Conduziu-se este estudo com o objetivo de verificar as alterações nos teores e no estoque de carbono orgânico em sistemas agrossilvopastoril, pastagem cultivada e reflorestamento de eucalipto, no noroeste do Estado de Minas Gerais. O solo estudado foi um Latossolo Vermelho distrófico típico. As amostragens de solo foram efetuadas em três repetições, nas profundidades de 0-5, 5-20 e 20-40 cm. Os sistemas foram selecionados segundo o histórico de uso, a saber: cerrado nativo (CN - testemunha); eucalipto + arroz (EA - ano zero do sistema agrossilvopastoril); eucalipto + soja (ES - ano um do sis- tema agrossilvopastoril); eucalipto + pastagem (EP - ano dois do sistema agrossilvopastoril); eucalipto + pastagem + gado (EPG - ano três do sistema agrossilvopastoril); pastagem convencional (PC) e eucalipto convencional (EC). Houve dife- rença significativa nos teores e no estoque de carbono dos sistemas avaliados em relação ao cerrado nativo. De modo geral, os sistemas estão desempenhando um papel de emissores de C-CO 2 , quando comparados com o CN, em que os vários re- volvimentos para o preparo do solo estão acelerando o processo de oxidação e perda de carbono orgânico. No sistema agrossilvopastoril, foi observada uma tendência de aumento do estoque do carbono com o passar dos anos, demonstrando a eficiência do sistema em manter ou até mesmo aumentar o estoque de carbono orgânico ao longo dos anos.},
File = {:Ciência e Agrotecnologia/Neves et al_Ciênc Agrotec_2004.pdf:PDF},
Keywords = {Qualidade do solo, estoque de carbono, sistema agrossilvopastoril, cerrado.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.scielo.br/pdf/cagro/v28n5/v28n5a10.pdf}
}
@Article{NewellEtAl1976,
Title = {Computer science as empirical inquiry: symbols and search},
Author = {Newell, Allen and Simon, Herbert A.},
Journal = {Communications of the ACM},
Pages = {113–126},
Volume = {19},
Year = {1976},
Month = {Mar},
Number = {3},
Doi = {10.1145/360018.360022},
File = {NewellEtAl1976.pdf:NewellEtAl1976.pdf:PDF},
ISSN = {0001-0782},
Owner = {alessandro},
Publisher = {Association for Computing Machinery (ACM)}
}
@Article{Neyman1934,
Title = {On the two different aspects of the representative method: the method of stratified sampling and the method of purposive selection},
Author = {Neyman, Jerzy},
Journal = {Journal of the Royal Statistical Society},
Pages = {558-625},
Volume = {97},
Year = {1934},
Number = {4},
Copyright = {Copyright © 1934 Royal Statistical Society},
File = {Neyman1934.pdf:Neyman1934.pdf:PDF},
ISSN = {09528385},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1934},
Language = {English},
Owner = {alessandro},
Publisher = {Wiley for the Royal Statistical Society},
Url = {http://www.jstor.org/stable/2342192}
}
@Inproceedings{NgatchouEtAl2005,
Title = {Pareto multi objective optimization},
Author = {Ngatchou, P. and Anahita Zarei and El-Sharkawi, M. A.},
Booktitle = {Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems},
Pages = {84 - 91},
Year = {2005},
Abstract = {The goal of this chapter is to give fundamental knowledge on solving multi-objective optimization problems. The focus is on the intelligent metaheuristic approaches (evolutionary algorithms or swarm-based techniques). The focus is on techniques for efficient generation of the Pareto frontier. A general formulation of MO optimization is given in this chapter, the Pareto optimality concepts introduced, and solution approaches with examples of MO problems in the power systems field are given},
Doi = {10.1109/ISAP.2005.1599245},
File = {NgatchouEtAl2005.pdf:NgatchouEtAl2005.pdf:PDF},
ISBN = {1-59975-174-7},
Owner = {alessandro},
Timestamp = {26.06.2013}
}
@Mastersthesis{Nguyet2012,
Title = {Error propagation in carbon estimation using the combination of airborne {LiDAR} data and very high resolution {GEO-EYE} satellite imagery in {Ludhikhola} {Watershed}, {Gorkha}, {Nepal}},
Address = {Enschede},
Author = {Dang Anh Nguyet},
Pages = {64},
School = {Faculty of Geo-Information Science and Earth Observation of the University of Twente},
Year = {2012},
Note = {Master of Science in Geo-information Science and Earth Observation},
Abstract = {Carbon dioxide (CO 2 ) is believed the main anthropogenic greenhouse gas which causes global climate change. In the carbon cycle, forest plays an important role both as a carbon source and a carbon sink. Therefore, forest carbon inventories and emission reduction programs, in particular REDD, are one of the main efforts to combat climate change. REDD provides opportunities for Nepal and other developing countries to take part in the international carbon market and to promote sustainable forest management. Forest inventories and programs for emission reduction require robust methods to quantify carbon sequestration in forests. The combination of LiDAR data and high resolution satellite imagery is one of potential approach for assessing forest carbon sequestration. The application of LiDAR data and high resolution satellite imagery in carbon estimation are mostly based on the strong relationship between tree parameters, crown projection area (CPA) and height, with carbon stock of individual trees. A Canopy Height Model (CHM) is created from Airborne LiDAR data in order to derive the tree height information. The crown projection area is delineated from a very high resolution Geo-Eye satellite imageey with Region growing algorithm. Field-based carbon stock of individual tree (obtained through an allometric equation) is then related to CPA and height obtained from remote sensing data through multiple linear regression modelling. The crown delineated with Region growing resulted in 71.9% accuracy, LiDAR derived height fitted well with the measured height with the coefficient of determination R 2 =0.72. The object based image classification is applied to classify Shorea robusta and Other species with reasonable accuracy of 81% overall. Modelling the relationship between CPA and LiDAR derived height with carbon stock of Shorea robusta and Other species results in R 2 values of 0.76 and 0.68 respectively. In order to complete the carbon stock accounting and monitoring process, uncertainty estimates are required as an essential element of the process. Uncertainty estimates can help to reduce the uncertainty of inventories in the future, and guide decision on the choice of method. The combination of data requires more complex data processing and analysis techniques than using high resolution image or LiDAR data alone. As a result, the risk of error propagation through carbon estimation process is higher. The main sources of error are associated with ground-based sampling, LiDAR data processing, image processing and data integration processing. Most studies have used the standard error of regression equation as a measure of uncertainty but the uncertainty maybe two to three times the standard error. Accordingly, error propagation assessment needs to be evaluated to make correct inference about forest carbon stock. The trees used as the input for multiple linear regression analysis mostly affect the result of carbon estimation process. For the purpose of error propagation analysis, Monte Carlo Simulation is applied to generate a number of input datasets, which then were used to develop different regression predictive models of carbon. The input datasets were created by adding the random error to individual tree?s parameters (CPA, height, field-based carbon). Carbon stock then calculated based on simulated carbon predictive model. The results of different iterations were compared to see the effect of error propagation.},
File = {Nguyet2012.pdf:Nguyet2012.pdf:PDF},
Keywords = {redemds; LiDAR, canopy height model, very high resolution image, object based image analysis, region growing, above ground biomass, forest carbon},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.12},
Url = {http://goo.gl/NPn9F}
}
@Article{NiEtAl2006,
Title = {Impact of climate variability on present and Holocene vegetation: a model-based study},
Author = {Jian Ni and Sandy P. Harrison and I. Colin Prentice and John E. Kutzbach and Stephen Sitch},
Journal = {Ecological Modelling},
Pages = {469-486},
Volume = {191},
Year = {2006},
Number = {3-4},
Abstract = {A series of nine simulations has been made with the Lund?Potsdam?Jena Dynamic Global Vegetation Model (LPJ-DGVM) in order to explore the impacts of climate variability and Holocene changes in variability (as simulated by the Fast Ocean-Atmosphere Model, FOAM) on vegetation in three forest-dominated regions of China and in the semi-arid Sahelian region of northern Africa. The simulations illustrate that changes both in the magnitude of climate variability and in the persistence of above/below average conditions have the potential to modify the vegetation response to changes in mean climate. Simulated changes in moisture availability affect vegetation through drought stress or through changing the fuel availability in semi-arid regions where lack of fuel often limits the incidence of fire. Increasing moisture availability causes trees to replace grasses in China by reducing drought stress; increasing moisture availability in the Sahel increases the available fuel and hence reduces fire return times, favouring grasses. The modelling results imply that climate variability is important to vegetation dynamics; that not only the magnitude, but also the temporal structure of variability is important; and that correctly simulating vegetation changes in response to climate variability requires a realistic ?baseline? simulation of plant community composition. They further indicate that the impacts of climate change on ecosystems can sometimes derive as much from changes in variability as from changes in mean climate.},
Doi = {10.1016/j.ecolmodel.2005.05.019},
File = {:Ecological Modelling/Ni et al_Ecol Modell_2006.pdf:PDF},
Keywords = {Climate variability; Dynamic Global Vegetation Model (DGVM); Fast Ocean-Atmosphere Model (FOAM); Fire; Foliage projective cover (FPC); Holocene; Plant functional types (PFTs)},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0304380005002851}
}
@Article{Nichols1984,
Title = {Relation of organic carbon to soil properties and climate in the southern Great Plains},
Author = {Nichols, J. D.},
Journal = {Soil Science Society of America Journal},
Pages = {1382?1384},
Volume = {48},
Year = {1984},
Owner = {Administrador},
Timestamp = {2011.01.06}
}
@Article{Nicholson2012,
Title = {The concept of mechanism in biology },
Author = {Daniel J. Nicholson},
Journal = {Studies in History and Philosophy of Biological and Biomedical Sciences},
Pages = {152-163},
Volume = {43},
Year = {2012},
Note = {<ce:title>Data-Driven Research in the Biological and Biomedical Sciences</ce:title> <ce:title>On Nature and Normativity: Normativity, Teleology, and Mechanism in Biological Explanation</ce:title> },
Number = {1},
Abstract = {The concept of mechanism in biology has three distinct meanings. It may refer to a philosophical thesis about the nature of life and biology (‘mechanicism’), to the internal workings of a machine-like structure (‘machine mechanism’), or to the causal explanation of a particular phenomenon (‘causal mechanism’). In this paper I trace the conceptual evolution of ‘mechanism’ in the history of biology, and I examine how the three meanings of this term have come to be featured in the philosophy of biology, situating the new ‘mechanismic program’ in this context. I argue that the leading advocates of the mechanismic program (i.e., Craver, Darden, Bechtel, etc.) inadvertently conflate the different senses of ‘mechanism’. Specifically, they all inappropriately endow causal mechanisms with the ontic status of machine mechanisms, and this invariably results in problematic accounts of the role played by mechanism-talk in scientific practice. I suggest that for effective analyses of the concept of mechanism, causal mechanisms need to be distinguished from machine mechanisms, and the new mechanismic program in the philosophy of biology needs to be demarcated from the traditional concerns of mechanistic biology. },
Doi = {10.1016/j.shpsc.2011.05.014},
File = {Nicholson2012.pdf:Nicholson2012.pdf:PDF},
ISSN = {1369-8486},
Keywords = {Mechanism}
}
@Article{NiemeijerEtAl2003,
Title = {Moving beyond indigenous soil taxonomies: local theories of soils for sustainable development},
Author = {David Niemeijer and Valentina Mazzucato},
Journal = {Geoderma},
Pages = {403?424},
Volume = {111},
Year = {2003},
Abstract = {It is now widely recognized that local farmers possess an important body of knowledge concerning soils and their use for agriculture. This article argues that in order for that knowledge to be useful for sustainable development interventions, it is necessary to go beyond the collection of indigenous soil taxonomies and also explore the theories farmers have on soil formation and degradation processes. Based on field research in eastern Burkina Faso, the article demonstrates that farmers? theories of soil go beyond practical rules of thumb and include complex concepts about soil processes and fertility. In this sense they are similar to scientific theories of soil. It is argued that understanding the similarities and differences in soil related concepts, such as that of soil fertility, could do much more to improve communication between farmers, researchers and development workers than only comparing taxonomies. Furthermore, capturing the grammar (theories) rather than the sentences (taxonomies) provides a much clearer insight to how farmers will deal with changing circumstances and new crops than the static way in which local taxonomies are often treated. Finally, local soil theories are a better point of departure in terms of creating the necessary comprehension of farmer practices required for effective collaboration towards sustainable development.},
File = {:Geoderma/Niemeijer & Mazzucato_Geoderma_2003.pdf:PDF},
Keywords = {Soil classification; Farmers? system; Indigenous knowledge; Sustainable development; Soil management; Burkina Faso; Africa},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002744}
}
@Article{NissimEtAl2005,
Title = {From dumping to sanitary landfills ? solid waste management in Israel},
Author = {I. Nissim and T. Shohat and Y. Inbar},
Journal = {Waste Management},
Pages = {323-327},
Volume = {25},
Year = {2005},
Doi = {10.1016/j.wasman.2004.06.004},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Electronic{NIST/SEMATECH2011,
Title = {e-Handbook of Statistical Methods (available at http://www.itl.nist.gov/div898/handbook/index.htm)},
Author = {NIST/SEMATECH},
HowPublished = {Online},
Url = {http://www.itl.nist.gov/div898/handbook/index.htm},
Year = {2011},
Owner = {Administrador},
Timestamp = {2011.01.28}
}
@Article{NiutanenEtAl2002,
Title = {Management of old landfills by utilizing forest and energy industry waste flows},
Author = {Ville Niutanen and Jouni Korhonen},
Journal = {Journal of Environmental Management},
Pages = {39-47},
Volume = {65},
Year = {2002},
Doi = {10.1006/jema.2001.0508},
Keywords = {land®ll management, waste utilization, forest industry recycling network.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{Nogueira2004,
Title = {Orthogonal contrasts: definitions and concepts},
Author = {Maria Cristina Stolf Nogueira},
Journal = {Scientia Agricola},
Pages = {118-124},
Volume = {61},
Year = {2004},
Abstract = {The single degree of freedom of orthogonal contrasts is a useful technique for the analysis of experimental data and helpful in obtaining estimates of main, nested and interaction effects, for mean comparisons between groups of data and in obtaining specific residuals. Furthermore, the application of orthogonal contrasts is an alternative way of doing statistical analysis on data from non-conventional experiments, whithout a definite structure. To justify its application, an extensive review is made on the definitions and concepts involving contrasts.},
File = {Nogueira2004.pdf:Nogueira2004.pdf:PDF},
Keywords = {analysis of variance, partition of sum of squares, experiments with additional treatments; multiple comparison},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000100020}
}
@Article{NolEtAl2010,
Title = {Uncertainty propagation analysis of an {$\text{N}_{2}\text{O}$} emission model at the plot and landscape scale},
Author = {L Nol and Gerard B M Heuvelink and A Veldkamp and W de Vries and J Kros},
Journal = {Geoderma},
Pages = {9 - 23},
Volume = {159},
Year = {2010},
Number = {1?2},
Abstract = {Nitrous oxide (N2O) emission from agricultural land is an important component of the total annual greenhouse gas (GHG) budget. In addition, uncertainties associated with agricultural N2O emissions are large. The goals of this work were (i) to quantify the uncertainties of modelled N2O emissions caused by model input uncertainty at point and landscape scale (i.e. resolution), and (ii) to identify the main sources of input uncertainty at both scales. For the Dutch western fen meadow landscape, we performed a Monte Carlo uncertainty propagation analysis using the INITIATOR model. The Monte Carlo analysis used novel and state-of-the-art methods for estimating and simulating continuous-numerical and categorical input variables, handling spatial and cross-correlations and analyzing spatial aggregation effects. Spatial auto- and cross-correlation of uncertain numerical inputs that are spatially variable were represented by the linear model of coregionalization. Bayesian Maximum Entropy was used to quantify the uncertainty of spatially variable categorical model inputs. Stochastic sensitivity analysis was used to analyze the contribution of groups of uncertain inputs to the uncertainty of the N2O emission at point and landscape scale. The average N2O emission at landscape scale had a mean of 20.5 kg N2O-N ha?1 yr?1 and a standard deviation of 10.7 kg N2O-N ha?1 yr?1, producing a relative uncertainty of 52%. At point scale, the relative error was on average 78%, indicating that upscaling decreases uncertainty. Soil inputs and denitrification and nitrification inputs were the main sources of uncertainty in N2O emission at point scale. At landscape scale, uncertainty in soil inputs averaged out and uncertainty in denitrification and nitrification inputs was the dominant source of uncertainty. This was partly because these inputs were assumed constant across areas with the same soil type and land use, which is probably not very realistic. Experiments at landscape scale are needed to assess the spatial variability of these fractions and analyze how a more realistic representation influences the uncertainty budget at landscape scale. This research confirms that results from uncertainty analyses are often scale dependent and that results for one scale cannot directly be extrapolated to other scales.},
Doi = {10.1016/j.geoderma.2010.06.009},
File = {NolEtAl2010.pdf:NolEtAl2010.pdf:PDF},
Keywords = {Uncertainty propagation analysis, N2O emission, Landscape scale, Fen meadow landscape, Aggregation, Model input uncertainty; redemds}
}
@Article{Nolasco-CarvalhoEtAl2009,
Title = {Digital soil map: a methodological proposal using fuzzy inference},
Author = {Claudia C. Nolasco-Carvalho and Washington Franca-Rocha and J M. Ucha},
Journal = {Revista Brasileira de Engenharia Agrícola e Ambiental},
Pages = {46-55},
Volume = {13},
Year = {2009},
Number = {1},
Abstract = {A digital soil map was elaborated for an area in the region of Mucugê-BA using data integration derived from a digital elevation model (DEM) of the vegetation and geology that was associated with a soil scientist’s knowledge and correlated in a GIS environment (Geography Information System) under fuzzy inference, as a methodological proposal. The methodology was developed and based on the soil-land inference model – SoLIM, on the soil factor equation and the soil-landscape model. The fuzzy logic is able to simulate the uncertainty and transitions that often appear in pedologic systems. The results show that the methodology allows the generation of digital soil maps with increased scale and to reduce soil classe generalizations in the space and parameter domain. However, this methodology is very dependent upon the soil expert’s knowledge and accuracy of the data base. To verify the applicability of the methodology the repetition of the study is recommended in other areas and the validation done through field work.},
File = {NolascoCarvalhoEtAl2009.pdf:NolascoCarvalhoEtAl2009.pdf:PDF},
Keywords = {geography information system, geotechnology – GIS, mapping; redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Article{Noller2009,
Title = {Incorporating soil aging in digital mapping of soils},
Author = {Jay Stratton Noller},
Journal = {Pedometron},
Pages = {12-16},
Year = {2009},
Month = {December},
Number = {28},
Owner = {Administrador},
Timestamp = {2011.11.02},
Url = {http://www.pedometrics.org/pedometron/pedometron28.pdf}
}
@Article{NorraEtAl2006,
Title = {Mineralogical and geochemical patterns of urban surface soils, the example of Pforzheim, Germany},
Author = {Stefan Norra and Mahesh Lanka-Panditha and Utz Kramar and Doris Stüben},
Journal = {Applied Geochemistry},
Pages = {2064 - 2081},
Volume = {21},
Year = {2006},
Number = {12},
Abstract = {This study presents a combined geochemical and mineralogical survey of urban surface soils. Many studies on urban soils are restricted to purely chemical surveys in order to investigate soil pollution caused by anthropogenic activities such as traffic, heating, industrial processing, waste disposal and many more. In environmental studies, chemical elements are often distinguished as lithogenic and anthropogenic elements. As a novel contribution to those studies, the authors combined the analysis of a broad set of chemical elements with the analysis of the main mineralogical phases. The semi-quantification of mineralogical phases supported the assignment of groups of chemical elements to lithogenic or anthropogenic origin. Minerals are important sinks for toxic elements. Thus, knowledge about their distribution in soils is crucial for the assessment of the environmental hazards due to pollution of urban soils. In Pforzheim, surface soils (0-5 cm depth) from various land use types (forest, agriculture, urban green space, settlement areas of various site densities) overlying different geological units (clastic and chemical sediments) were investigated. Urban surface soils of Pforzheim reflect to a considerable degree the mineral and chemical composition of parent rocks. Irrespective of the parent rocks, elevated concentrations of heavy metals (Zn, Cu, Pb, Sn, Ag) were found in soils throughout the whole inner urban settlement area of Pforzheim indicating pollution. These pollutants will tend to accumulate in inner urban surface soils according to the available adsorption capacity, which is normally higher in soils overlying limestone than in soils overlying sandstone. However, inner urban surface soils overlying sandstone show elevated concentrations of carbonates, phyllo-silicates and Fe and elevated pH values compared with forest soils overlying sandstone. Thus, in comparison to forest soils overlying sandstones, inner urban soils overlying sandstone affected by pollution concurrently possess elevated concentrations of mineral phases typically providing relatively high adsorption capacities for heavy metals.},
Doi = {DOI: 10.1016/j.apgeochem.2006.06.014},
ISSN = {0883-2927},
Url = {http://www.sciencedirect.com/science/article/B6VDG-4KXDWFM-1/2/0a7bf8b8693c3ad5eccd5d442b31cecf}
}
@Article{NorthEtAl2003,
Title = {A note on the calculation of empirical p values from {M}onte {C}arlo procedures},
Author = {North, B V and Curtis, D and Sham, P C},
Journal = {The American Journal of Human Genetics},
Pages = {498-499},
Volume = {72},
Year = {2003},
Number = {2},
Comment = {024577[PII] 12596795[pmid]},
File = {NorthEtAl2003.pdf:NorthEtAl2003.pdf:PDF},
ISSN = {1537-6605},
Owner = {alessandro},
Publisher = {The American Society of Human Genetics},
Timestamp = {04.12.2014},
Url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC379244/}
}
@Article{NorthEtAl2002,
Title = {A note on the calculation of empirical p values from {M}onte {C}arlo procedures},
Author = {North, B V and Curtis, D and Sham, P C},
Journal = {The American Journal of Human Genetics},
Pages = {439-441},
Volume = {71},
Year = {2002},
Month = {Aug},
Number = {2},
Doi = {10.1086/341527},
File = {NorthEtAl2002.pdf:NorthEtAl2002.pdf:PDF},
ISSN = {0002-9297},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{NortonEtAl2003,
Title = {Hillslope soils and organic matter dynamics within a native American agroecosystem on the Colorado Plateau},
Author = {J. B. Norton and J. A. Sandor and C. S. White},
Journal = {Soil Science Society of America Journal},
Pages = {225-234},
Volume = {67},
Year = {2003},
Abstract = {Zuni farmers of western New Mexico demonstrate knowledge about soil and hydrological processes that link upland watersheds to alluvium-derived soils that have crucial cultural, ecological, and hydrological functions. To define how hillslopes contribute to productivity of soils derived from alluvium, we studied soil-vegetation-landform parameters in three headwater drainages on the Zuni Indian Reservation. Analyses along eight summit to toeslope transects show that soil properties follow parabolic and linear trends with changes driven by elevation, lithology, and vegetation in the mesa-canyon pinyon-juniper-Gambel oak (Pinus edulis Engelm.-Juniperus spp.-Quercus gambelii Nutt.) woodlands. Total organic C, N, and P concentrations in surface horizons follow negative parabolic trends and are highest on wooded backslopes and lowest on summits and toeslopes. Inorganic N and available P concentrations and total organic to inorganic N and P ratios increase linearly from summit to toeslope. Taken together, soil, landform, and vegetation data suggest: (i) summit positions are relatively stable with immobilizing microbial environments; (ii) inorganic nutrients increase progressively down steep and erodible hackslopes as inputs of forest litter are mixed with surface soil; (iii) influx of mixed sediment and organic materials from backslopes maintains concentrations of inorganic nutrients on footslopes and toeslopes. Entrenchment of drainage ways can circumvent these translocation processes. Without the influx of organic materials, footslopes and toeslopes may become nutrient-depleted as immobilization becomes the dominant microbial process. The results underscore the importance of functional connectivity between upland hillslopes and alluvial soils.},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Article{PauloEtAl2007,
Title = {Variabilidade espacial de atributos físicos de solo usada na identificação de classes pedológicas de microbacias na Amazônia Meridional},
Author = {João Paulo Novaes.Filho and Eduardo Guimarães Couto and Virlei Alvaro Oliveira and Mark S. Johnson and Johannes Lehmann and Susan S. Riha},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {91-100},
Volume = {31},
Year = {2007},
Abstract = {A região noroeste do Estado de Mato Grosso compreende paisagens de grande complexidade para amostragem de solo. Isso ocorre devido à contínua atividade geomorfológica, que contribuiu para a existência de diferentes classes pedológicas em pequenas distâncias. O trabalho foi desenvolvido em Juruena (MT), com o objetivo de identificar as classes pedológicas em microbacias sob floresta nãoperturbada, por meio do estudo da variabilidade espacial da textura (relação textural) e cor (índice de avermelhamento) do solo, considerando-se ainda a altitude da paisagem. A variabilidade espacial da textura e da cor do solo foi determinada em amostras de 185 pontos georreferenciados em malha sistemática regular com espaçamento de 20 x 20 m, abrangendo quatro microbacias. Usando profundidades de 0?20 e 40?60 cm, foi possível distinguir e mapear as principais classes de solo ocorrentes na área de estudo até o segundo nível categórico do Sistema Brasileiro de Classificação de Solos, associadas ao fator relevo da paisagem. Também foi estabelecida uma correspondência bastante satisfatória entre os intervalos do índice de avermelhamento do horizonte diagnóstico e as cores das classes de solo. As microbacias apresentaram as classes Plintossolos e Argissolos (com caráter plíntico) em altitudes inferiores a 280 m e Latossolos nas cotas superiores. Dessa forma, ficou evidenciada a possibilidade do uso da geoestatística para separar classes homogêneas de solo, além de estimar a precisão de mapeamento. Contudo, são indispensáveis o conhecimento pedológico e o trabalho posterior de campo para a aplicação e o ajuste dessa modelagem.},
Keywords = {geoestatística, krigagem, cor, índice de avermelhamento, textura, paisagem.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://www.scielo.br/scielo.php?pid=s0100-06832007000100010&script=sci_arttext}
}
@Book{NRCS2004,
Title = {Soil Survey Laboratory Methods Manual. Soil Survey Investigations Report No. 42.},
Address = {Washington},
Author = {NRCS},
Editor = {Rebecca Burt},
Pages = {700},
Publisher = {United States Department of Agriculture, Natural Resources Conservation Service},
Year = {2004},
Edition = {Version 4.0.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.27}
}
@Article{NunesEtAl2008,
Title = {Optimization measures of entropy landscape grant as the environmental planning, region of Goiânia, GO},
Author = {Elizon Dias Nunes and Patrícia Araújo Romão and Nilson Clementino Ferreira},
Journal = {Boletim Goiano de Geografia},
Pages = {125-140},
Volume = {28},
Year = {2008},
Abstract = {It presents a review of the concept of entropy, its application in the study of relief and a routine for calculating the matrix with different configurations and spatial resolution of the Digital Elevation Model through geoprocessing of resources in order to subsidize the environmental plan-ning. The methodology was to use the formula for calcu-lating the entropy applied to a square matrix of convolu-tion of n x n cells of the DEM, in which a central cell was classified taking into account the likelihood that the same place in the surrounding area by DEM through the service of operations neighborhood developed in the program Ar-cGIS 9.2 through programming in SQL (Structured Query of Language). It included the development and correlation of the letters of hypsometric, slope, curvature of the pro-file and the flat parts. It can perform the calculation of entropy of relief in different configurations and different array of spatial resolutions of the DEM at appropriate fea-tures of the terrain being, the tool developed, ready to be used in the calculation of entropy in other areas for using both curves level or a Digital Elevation Model. Although the letter of entropy was also relevant in the characteri-zation of diversity altimetry, allowing separate areas with different classes of dissection auxiliary in understanding the ways of relief.},
File = {NunesEtAl2008.pdf:Boletim Goiano de Geografia/NunesEtAl2008.pdf:PDF},
Keywords = {entropy, landscape, environment planning},
Owner = {Alessandro},
Timestamp = {2011.01.14},
Url = {http://www.revistas.ufg.br/index.php/bgg/article/viewArticle/5728}
}
@Article{NussbaumEtAl2014,
Title = {Estimating soil organic carbon stocks of Swiss forest soils by robust external-drift kriging},
Author = {Nussbaum, M. and Papritz, A. and Baltensweiler, A. and Walthert, L.},
Journal = {Geoscientific Model Development},
Pages = {1197-1210},
Volume = {7},
Year = {2014},
Number = {4},
__markedentry = {[alessandro:5]},
Doi = {10.5194/gmd-7-1197-2014},
File = {NussbaumEtAl2014.pdf:NussbaumEtAl2014.pdf:PDF},
ISSN = {1991-962X},
Owner = {alessandro},
Publisher = {Copernicus GmbH},
Timestamp = {30.04.2015}
}
@Article{OCallaghanEtAl1984,
Title = {The extraction of drainage networks from digital elevation data},
Author = {John F. O'Callaghan and David M. Mark},
Journal = {Computer Vision, Graphics, and Image Processing},
Pages = {323-344},
Volume = {28},
Year = {1984},
Number = {3},
Abstract = {The extraction of drainage networks from digital elevation data is important for quantitative studies in geomorphology and hydrology. A method is presented for extracting drainage networks from gridded elevation data. The method handles artificial pits introduced by data collection systems and extracts only the major drainage paths. Its performance appears to be consistent with the visual interpretation of drainage patterns from elevation contours.},
Doi = {10.1016/S0734-189X(84)80011-0},
File = {OCallaghanEtAl1984.pdf:OCallaghanEtAl1984.pdf:PDF},
Url = {http://www.sciencedirect.com/science/article/pii/S0734189X84800110}
}
@Book{OHaganEtAl2006,
Title = {Uncertain judgements: eliciting experts' probabilities},
Address = {Chichester},
Author = {O'Hagan, A. and Buck, C. and Daneshkhah, A. and Eiser, J. and Garthwaite, P. and Jenkinson, D. and Oakley, J. and Rakow, T.},
Pages = {321},
Publisher = {John Wiley and Sons},
Year = {2006},
File = {:OHaganEtAl2006.acsm:jstyle},
Keywords = {expert knowledge; redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.19}
}
@Article{OSullivan1992,
Title = {Uniaxial compaction effects on soil physical properties in relation to soil type and cultivation},
Author = {M.F. O'Sullivan},
Journal = {Soil and Tillage Research},
Pages = {257 - 269},
Volume = {24},
Year = {1992},
Number = {3},
Abstract = {Disturbed soil samples, representing different textures and organic matter contents, were compressed uniaxially by a range of stresses and at varying water contents. Air permeability was measured immediately after compaction and tensile strength was measured after oven drying. The samples were taken from two soil types which had been subjected to three tillage treatments in a long-term field experiment and from the site of an experiment which compared the compaction caused by different tractor wheels. Within the range of practical interest, specific volume (i.e. the ratio of total volume to volume of solids) decreased with the log of applied stress and tensile strength increased linearly with applied stress. Specific volume also decreased with increasing water content at the time of compaction, whereas both tensile strength and air permeability increased. Soils with higher organic matter contents tended to have higher specific volumes and lower tensile strengths at a given water content and stress. The influence of water content on these properties upon compaction was less in soils of greater organic matter content. Similarly, the rate of increase of tensile strength with applied stress was less in soils of greater organic matter content. However, organic matter did not influence the relative change of specific volume with stress. In the tillage experiment, a stress applied in the laboratory of 100 kPa produced a specific volume similar to the average for ploughed soil in the field but 800 kPa was required to produce a specific volume similar to that obtained by direct drilling. A comparison with compaction values produced by vehicles in the field showed that a higher stress, by a factor of between 3 and 24, was required to reach the same specific volume in the laboratory as in the field. The tensile strength results indicated the susceptibility of the soils to clod formation and their ease of cultivation. Air permeability measurements gave some insight into the possible mechanics of compaction.},
Doi = {10.1016/0167-1987(92)90091-O},
File = {OSullivan1992.pdf:OSullivan1992.pdf:PDF},
Url = {http://www.sciencedirect.com/science/article/pii/016719879290091O}
}
@Article{ObeysekeraEtAl1997,
Title = {Selection of scale for Everglades landscape models},
Author = {Obeysekera, Jayantha and Rutchey, Ken},
Journal = {Landscape Ecology},
Pages = {7–18},
Volume = {12},
Year = {1997},
Month = {Feb},
Number = {1},
Doi = {10.1007/bf02698203},
File = {ObeysekeraEtAl1997.pdf:ObeysekeraEtAl1997.pdf:PDF},
ISSN = {1572-9761},
Keywords = {Vasques; resolution; pedometrics;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{ObutEtAl2002,
Title = {Hydrogen peroxide exfoliation of vermiculite and phlogopite},
Author = {A. Obut and I Girgin},
Journal = {Minerals Engineering},
Pages = {683?687},
Volume = {15},
Year = {2002},
Abstract = {The exfoliation characteristics of Karakoç phlogopite (KP), Phalaborwa phlogopite (PP) and Phalaborwa vermiculite (PV) with hydrogen peroxide were investigated. A series of swelling tests were done to obtain comparative data in order to determine the effects of hydrogen peroxide concentration (1?50 wt.%) and reaction time (1?30 h) that were determined to be the main parameters with solid/liquid ratio being of minor importance. Experimental results show that Karakoç sample has higher exfoliation rate and Phalaborwa samples show a steep increase in exfoliation rate when hydrogen peroxide concentration exceeds 30%. Maximum swelling values of 103-, 90- and 118-fold were reached at 50% H2O2 concentration in 30 h for KP, PP and PV samples, respectively. Exfoliation mechanism was explained in terms of crystal water contents, released cations and change of pH values of solutions.},
Keywords = {Industrial minerals; Non-metallic ores; pH control; Ion exchange; Leaching},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0892687502001619}
}
@Article{OdehEtAl1995,
Title = {Further results on prediction of soil properties from terrain attributes: heterotopic cokriging and regression-kriging},
Author = {I.O.A. Odeh and A.B. McBratney and D.J. Chittleborough},
Journal = {Geoderma},
Pages = {215-226},
Volume = {67},
Year = {1995},
Abstract = {Several methods involving spatial prediction of soil properties from landform attributes are compared using carefully designed validation procedures. The methods, tested against ordinary kriging and universal kriging of the target variables, include multi-linear regression, isotopic cokriging, heterotopic cokriging and regression-kriging models A, B and C. Prediction performance by ordinary kriging and universal kriging was comparatively poor as the methods do not use covariation of the predictor variable with terrain attributes. Heterotopic cokriging outperformed isotopic cokriging because the former utilised more of the local information from the covariables. The combined regression-kriging methods generally performed well. Both the regression-kriging model C and heterotopic cokriging performed well when soil variables were predicted into a relatively finer gfidded digital elevation model (DEM) and when all the local information was utilised. Regression-kriging model C generally performed best and is, perhaps, more flexible than heterotopic cokriging. Potential for further research and developments rests in improving the regression part of model C.},
Doi = {10.1016/0016-7061(95)00007-B},
File = {:Geoderma/Odeh et al_Geoderma_1995.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{OdehEtAl1994,
Title = {Spatial prediction of soil properties from landform attributes derived from a digital elevation model},
Author = {I.O.A. Odeh and A.B. McBratney and D.J. Chittleborough},
Journal = {Geoderma},
Pages = {197 - 214},
Volume = {63},
Year = {1994},
Number = {3?4},
Abstract = {Digital elevation models (DEMs) provide a good way of deriving landform attributes that may be used for soil prediction. The geostatistical techniques of kriging and cokriging are increasingly being applied to predicting soil properties. Whereas ordinary kriging (and universal kriging) utilise spatial correlation to determine the coefficients of the linear predictor, cokriging involves both inter-variable correlation and spatial covariation among variables. Multi-linear regression modelling also offers an alternative to predicting a soil variable by means of covariation. The performance of predicting four soil variables by these methods and two regression-kriging models are compared. The precision and bias of prediction of the six methods were dependent on the soil variable predicted. The mean error of prediction indicates reasonably small bias of prediction for all the soil variables by almost all of the methods. With the exception of topsoil gravel, for which multi-linear regression performed best, the root mean square error showed the two regression-kriging procedures to be best. Further analysis based on the mean ranks of performance by the methods confirmed this. All the kriging methods involving covariables (landform attributes) have a more smoothing effect on the predicted values, thus minimising the influence of outliers on prediction performance. Both the methods of regression-kriging show promise for predicting sparsely located soil properties from dense observations of landform attributes derived from the DEM. Histograms of subsoil clay residuals show outliers in the data set. These outliers are more evident in multi-linear regression, ordinary kriging and universal kriging than regression-kriging. There was a clear advantage in using the regression-kriging methods on those variables which had a small correlation with the landform attributes: root mean square errors for all the soil variables are much smaller than those resulting from any of the multi-linear regression, ordinary kriging, universal kriging or cokriging methods.},
Doi = {10.1016/0016-7061(94)90063-9},
File = {OdehEtAl1994.pdf:Geoderma/OdehEtAl1994.pdf:PDF},
Keywords = {redemds}
}
@Article{OdehEtAl1990,
Title = {Design of optimal sample spacings for mapping soil using fuzzy-k-means and regionalized variable theory},
Author = {Odeh, I.O.A. and McBratney, A.B. and Chittleborough, D.J.},
Journal = {Geoderma},
Pages = {93–122},
Volume = {47},
Year = {1990},
Month = {Aug},
Number = {1-2},
Doi = {10.1016/0016-7061(90)90049-f},
File = {OdehEtAl1990.pdf:OdehEtAl1990.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@InCollection{OdehEtAl2006,
Title = {Digital mapping of soil attributes for regional and catchment modelling, using ancillary covariates, statistical and geostatistical techniques},
Author = {Inakwu O.A. Odeh and Mark Crawford and Alex. B. McBratney},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {32},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {437 - 453, 622},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {The application of statistical techniques to spatially predicting soil attributes from ancillary variables evolved from Jenny's factors of soil formation, termed Climate, Organisms, Relief, Parent material and Time or corpt. The corpt approach was recently extended to include other soil attributes (s as surrogates) and space (n), and thus it is termed scorpan with time factor t in corpt replaced as age (a). The main objectives of this chapter are to collate and integrate various land feature digital layers to the same resolution and coordinate system, and to develop spatial prediction models based on scorpan and scorpan-kriging methods, for predicting selected soil attributes. Existing analogue maps were first digitised and transformed into digital maps. These, along with other existing digital information, were reprojected in the same coordinate system, the Geocentric Datum of Australia (1994) and Map Grid of Australia (1994), namely GDA-94 and MGA-94. Further these digital map layers, along with Landsat bands and digital terrain attributes, were used to predict soil attributes and thus producing different soil attribute maps for a number of soil depths. The spatial prediction methods used were scorpan methods, such as multiple linear regressions (MLR) and scorpan-kriging (SK), which combines simple kriging with MLR. While MLR was good enough model to predict a number of soil attributes, SK was more appropriate for electrical conductivity for two layers: 0-10 and 70-80 cm layers and was equally good, if not slightly better than the scorpan technique of MLR. However, the results of scorpan-kriging exhibit more detailed variation across the extent of the study area compared with kriging or MLR. The application of generalised linear and generalised additive models did not improve the prediction accuracy. Two of the soil attributes - clay content and electrical conductivity - for both the topsoil (0-10-cm depth) and subsoil (70-80-cm depth) are illustrated here. Both soil attributes have significant influence on the hydrological processes shaping the landscape. Finally, the digital land feature maps, including those of soil and digital terrain attributes, are displayed as geographical information systems (GIS) layers, which could potentially be useful for various environmental and catchment modelling.},
Doi = {DOI: 10.1016/S0166-2481(06)31032-X},
ISSN = {0166-2481},
Keywords = {redemds},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1J/2/f5837e11256eec7f194571e198f7c6dd}
}
@Article{OdehEtAl2003,
Title = {Spatial prediction of soil particle-size fractions as compositional data},
Author = {Inakwu O.A. Odeh and Alison J. Todd and John Triantafilis},
Journal = {Soil Science},
Pages = {501-515},
Volume = {168},
Year = {2003},
Abstract = {Particle-size fractions (psf) of mineral soils and, hence, soil texture, are the most important attributes affecting physical and chemical processes in the soil. More often, psf data are available only at a few locations for a given area and, therefore, require some form of interpolation or spatial prediction. However, psf data are compositional and, therefore, require special treatment before spatial prediction. This includes ensuring posi- tive definiteness and a constant sum of interpolated values at a given lo- cation, error minimization, and lack of bias. In order to meet these re- quirements, this study applied two methods of data transformation prior to kriging of the psf of soils in two regions of eastern Australia. The two methods are additive log-ratio transformation of the psf (ALROK) and modified log-ratio transformation (mALROK). The performance of the transformed values by ordinary kriging was compared with the spatial prediction of the untransformed psf data using ordinary kriging, com- positional kriging (CK) (UTOK), and cokriging, based on the criteria- prediction bias or mean error (ME) and precision (root mean square er- ror (RMSE)), and validity of textural classification. ALROK and mALROK outperformed UTOK and CK in terms of prediction ME and RMSE. Be- cause of the closure effect on the psf data, UTOK, and, to a lesser extent, CK, did not meet all of the requirements for spatially predicting compo- sitional data and, therefore, performed poorly. mALROK outperformed all of the interpolation methods in terms of misclassification of soils into textural classes. The results show that without considering the special re- quirements of compositional data, spatial interpolation of psf data will necessarily produce uncertain and unreliable interpolated psf values.},
Keywords = {redemds},
Owner = {Administrador},
Timestamp = {2011.09.08},
Url = {http://rbras.org.br/lib/exe/fetch.php/pessoais:abtmartins:vsi.pdf}
}
@Conference{OdgersEtAl2011,
Title = {Application of the equal-area spline function to legacy soil data},
Author = {Nathan P.. Odgers and James Thompson and Zamir Libohova and Sharon Waltman},
Booktitle = {ASA - CSSA - SSSA International Annual Mettings},
Year = {2011},
Address = {San Antonio},
Abstract = {Splines have often been used to approximate continuous depth functions of soil properties. Mathematical approaches have often fit polynomial curves through the mean value of a given soil property at pedogenic soil horizons, where the mean value is assumed to occur at the mid-point of the given horizon. The fit of such curves are highly sensitive to small variations in the soil property values at the soil horizons. Recently, a new tool that utilizes the equal-area spline has become available. The equal-area spline fits quadratic curves piecewise through soil horizons down the soil profile; these quadratic curves are joined at the soil horizon boundaries. The equal-area spline is so-called because within a soil horizon, the area between the mean property value and the portion of the curve above the mean value, and the portion of the curve below the mean value, respectively, is equivalent, which preserves the mean soil property value across the entire soil horizon as a whole. The splines are a rapid, effective way of estimating soil property values at user-specified standard depth increments, and do not require profiles to be sampled at fixed depths in order to do so. We have applied the equal-area spline function to SSURGO and STATSGO2 map unit components, and present preliminary results of mapping selected soil properties across the contiguous United States at standard depths.},
File = {OdgersEtAl2011.pdf:OdgersEtAl2011.pdf:PDF},
Institution = {ASA/CSSA/SSSA},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.26},
Url = {http://scisoc.confex.com/scisoc/2011am/flvgateway.cgi/id/12693?recordingid=12693}
}
@Book{OetikerEtAl2011,
Title = {The not so short introduction to LaTeX2e},
Author = {Tobias Oetiker and Hubert Partl and Irene Hyna and Elisabeth Schlegl},
Pages = {157},
Year = {2011},
Edition = {5.01},
File = {OetikerEtAl2011.pdf:OetikerEtAl2011.pdf:PDF},
Keywords = {manual},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.20},
Url = {http://www.ctan.org/tex-archive/info/lshort/english/}
}
@Book{OjaEtAl1999,
Title = {Kohonen maps},
Author = {Erkki Oja and Samuel Kaski},
Pages = {390},
Publisher = {Amsterdam: Elsevier},
Year = {1999},
Edition = {1},
File = {OjaEtAl1999.pdf:Book/OjaEtAl1999.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Phdthesis{Oksanen2006,
Title = {Digital elevation model error in terrain analysis},
Author = {Juha Oksanen},
Pages = {51},
School = {University of Helsinki},
Year = {2006},
Address = {Helsinki},
File = {Oksanen2006.pdf:Oksanen2006.pdf:PDF},
Keywords = {redemds, dem; uncertainty},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.03}
}
@Manual{OksanenEtAl2012,
Title = {vegan: Community Ecology Package},
Author = {Jari Oksanen and F. Guillaume Blanchet and Roeland Kindt and Pierre Legendre and Peter R. Minchin and R. B. O'Hara and Gavin L. Simpson and Peter Solymos and M. Henry H. Stevens and Helene Wagner},
Year = {2012},
Note = {R package version 2.0-3},
Url = {http://CRAN.R-project.org/package=vegan}
}
@Inproceedings{OksanenEtAl2010,
Title = {Non-stationary modelling and simulation of {LiDAR} {DEM} uncertainty},
Author = {Juha Oksanen and Tapani Sarjakoski},
Booktitle = {Accuracy 2010 - International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences},
Pages = {201-204},
Year = {2010},
Address = {Leicester},
Abstract = {Appropriate modelling and simulation of digital elevation model (DEM) uncertainty is among the most long- lasting of topics in geographical information science, because DEMs and terrain analysis are widely used in tasks with high societal impact. Decisions based on the analysis are expected to be of better quality if the uncertainty of the analysis results is taken into account. Despite the long research history of the topic, a few big challenges have decelerated the final break- through of the uncertainty-aware terrain analysis. Firstly, the utilisation of Monte Carlo simulation, which is the most flexible method for investigating the propagation of uncertainty in terrain analysis, is time-consuming. Moreover, the use of massive high-resolution DEMs based on airborne light detection and ranging (LIDAR) has made the performance issue even worse. Secondly, mainstream uncertainty-aware terrain analysis is done by applying stationary models of DEM uncertainty, even though the number of experiments has proven that the uncertainty would be modelled more realistically as a non-stationary stochastic process. The paper demonstrates how the process convolution method can be applied in a realistic and efficient non-stationary simulation of LIDAR DEM uncertainty.},
File = {OksanenEtAl2010.pdf:OksanenEtAl2010.pdf:PDF},
Institution = {University of Leicester},
Keywords = {process convolution, unconditional simulation, redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.02}
}
@Article{OksanenEtAl2005,
Title = {Error propagation of DEM-based surface derivatives},
Author = {Juha Oksanen and Tapani Sarjakoski},
Journal = {Computers andamp; Geosciences},
Pages = {1015 - 1027},
Volume = {31},
Year = {2005},
Number = {8},
Abstract = {This paper presents research showing how random errors in a fine toposcale digital elevation model (DEM) are propagated to DEM-based surface derivatives. The focus was on two constrained derivatives, slope and aspect, and one unconstrained derivative, drainage basin delineation. The error propagation was explored by using numerical and analytical methods, and in both approaches the DEM error was modelled as a second-order stationary Gaussian random process. The results were summarised in the case study, in which 32 realistic scenarios of DEM error models were used. The scenarios were based on exponential and Gaussian spatial autocorrelation models with four sills (0.0625, 0.25, 1.00, and 4.00 m2) and practical ranges (0, 30, 60, and 120 m). We found that, as expected, increase in DEM error increased the error in surface derivatives. However, contrary to expectations, the spatial autocorrelation model appears to have varying effects on the error propagation analysis depending on the application. In constrained surface derivatives, such as slope and aspect, the maximum error in results appeared to exist when the practical range of the error's spatial autocorrelation was roughly equal to the size of the surface derivative's calculation window. In unconstrained terrain analysis, such as drainage basin delineation, the variance of the results appeared to increase while the spatial autocorrelation range increases. Until now, the use of spatially uncorrelated DEM error models have been considered as a ?worst-case scenario?, but this opinion may now be challenged because none of the DEM derivatives investigated in the study had maximum variation with spatially uncorrelated random error. In addition, the study revealed that the role of the appropriate shape of the spatial autocorrelation model, either exponential or Gaussian, was not as important as the choice of appropriate autocorrelation parameters: practical range and sill. However, the shape of the spatial autocorrelation model appeared to have more influence on the calculation of slope and aspect than on the drainage basin delineation. For error propagation analysis purposes an analytical approach appears to be more useful for constrained derivatives, while the Monte Carlo method is appropriate for analysing both constrained and unconstrained derivatives.},
Doi = {10.1016/j.cageo.2005.02.014},
File = {OksanenEtAl2005.pdf:OksanenEtAl2005.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Error modelling, Geostatistics, Simulation, Digital elevation models, Spatial analysis},
Url = {http://www.sciencedirect.com/science/article/pii/S0098300405000701}
}
@InCollection{Olaya2009,
Title = {Basic land-surface parameters},
Author = {V. Olaya},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {6},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {141 - 169},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00006-8},
File = {Olaya2009.pdf:Olaya2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {morphometric parameters that can be extracted from the DEM without further adjustment; ruggedness;},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-G/2/2f4380f147460d69fb1c5c04457ede0f}
}
@Book{Olaya2012,
Title = {{SEXTANTE} for {QGIS} user’s manual},
Author = {Olaya, V.},
Pages = {33},
Year = {2012},
Edition = {1},
File = {Olaya2012.pdf:Olaya2012.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.11}
}
@Book{Olaya2012a,
Title = {Sistemas de Información Geográfica. Tomo I},
Author = {Olaya, V.},
Pages = {442},
Year = {2012},
Edition = {1.0},
File = {Olaya2012a.pdf:Olaya2012a.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.30}
}
@Book{Olaya2012b,
Title = {Sistemas de Información Geográfica. Tomo II},
Author = {Olaya, V.},
Year = {2012},
Edition = {1.0},
File = {Olaya2012b.pdf:Olaya2012b.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.30}
}
@Book{Olaya2005,
Title = {Fundamentos de análisis geográfico con SEXTANTE},
Author = {Víctor Olaya},
Pages = {353},
Year = {2005},
Edition = {1.0},
File = {Olaya2005.pdf:Olaya2005.pdf:PDF},
Keywords = {saga gis; cell balance; vector ruggedness measure;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.25},
Url = {http://pt.scribd.com/doc/66408293/227/Soporte-multiling%C2%A8ue-y-ayuda-contextual}
}
@Manual{Olaya2004,
Title = {A gentle introduction to SAGA GIS},
Author = {Víctor Olaya},
Edition = {1.1},
Pages = {216},
Year = {2004},
Abstract = {SAGA is a free Geographical Information System (GIS) with support for vector and ? spe-cially ? raster data. This book describes the main features of SAGA, and its aimed at every user who wants to use the program whether as a learning tool (SAGA is a very good choice to discover GIS fundamentals) or as an all?purpose GIS with which develop ?real? geographical analysis. No GIS knowledge is assumed, so this work can be used as a self?study reference by all those who want to initiate themselves in the study of Geographical Information Systems. The book is conceptually divided in two parts: the ?rst one (chapters from 1 to 5) deals with basic SAGA functionalities, while the second one explain how to perform data analysis using some of the most important SAGA modules. Both parts seem rather independent, but they are closely related. You can read the ?rst part and you will get a good knowledge of SAGA and how it works, but if you don?t get into the second part you will not be able to get many results. On the other hand, you cannot study modules described in the second part without reading the ?rst one, since they all make use of SAGA core capabilities, which are explained in the ?rst ?ve chapters. For the technically inclined reader, I have included some information about the algorithms and technical concepts implemented in each module, targeted at those who like to get some beyond nuts?and?bolts descriptions. However, this information is rather limited, since the book will grow overwhelmingly large otherwise. Further references are provided in case you want to get a deeper knowledge of how a particular module works. The last chapter of the book, which could be considered as a very brief third part, introdu- ces the fundamentals of SAGA module programming. You should only read this chapter once you have become acquainted with the information from the previous chapters. Knowledge of C++ programming is assumed. If you have ideas for something to be added, removed or altered in this document, please let me know. I would love to get as much feedback as possible from readers.},
File = {:manual/Olaya_Manual_2004.pdf:PDF},
HowPublished = {Online},
Keywords = {saga gis; downslope area;},
Owner = {Alessandro},
Timestamp = {2011.01.25},
Url = {http://ufpr.dl.sourceforge.net/project/saga-gis/SAGA%20-%20Documentation/SAGA%20Documents/SagaManual.pdf}
}
@Book{Olaya2004a,
Title = {Hidrología computacional y modelos digitales del terreno - teoría, práctica y filosofía de una nueva forma de análisis hidrológico},
Author = {Víıctor Olaya},
Pages = {336},
Year = {2004},
Edition = {1},
File = {Olaya2004a.pdf:Olaya2004a.pdf:PDF},
Keywords = {saga gis;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@InCollection{OlayaEtAl2009,
Title = {Geomorphometry in SAGA},
Author = {V. Olaya and O. Conrad},
Booktitle = {Geomorphometry - concepts, software, applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {12},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {293-308},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00012-3},
File = {OlayaEtAl2009.pdf:OlayaEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {SAGA gis; history, system architecture, license; morphometric protection index; Flow sinuosity; relative heights; Potential Incoming Solar Radiation;},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-P/2/2de06d75d1da2a915432ea95523b2e3c}
}
@Phdthesis{Oliphant2000,
Title = {Spatial and temporal variability of surface energy fluxes in an alpine catchment},
Author = {Oliphant, A J},
Pages = {199},
School = {University of Canterbury},
Year = {2000},
Keywords = {Aspect; Northerness;},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
@Article{OliphantEtAl2003,
Title = {Spatial variability of surface radiation fluxes in mountainous terrain},
Author = {A. J. Oliphant And R. A. Spronken-Smith and A. P. Sturman And I. F. Owens},
Journal = {Journal of Applied Meteorology},
Pages = {113-128},
Volume = {42},
Year = {2003},
Abstract = {This paper investigates the magnitude and causes of spatial variability of surface radiative fluxes in a complex alpine landscape in the Southern Alps of New Zealand. Radiative flux components are simulated for the Tekapo watershed at 100-m resolution for clear-sky summer days, using a surface radiation budget model in conjunction with satellite imagery and topographic modeling to derive surface parameters. Overall, the model results agree well with observations made at a range of sites, with shortwave fluxes simulated more accurately than longwave fluxes. Sensitivity studies were conducted to isolate the role of spatial variability of surface characteristics in generating variance in the radiation budget. In order of most to least important, these characteristics were found to be slope aspect, slope angle, elevation, albedo, shading, sky view factor, and leaf area index. Spatial variability was greatest in midmorning and midafternoon, as a function of optical depth. The role of landscape complexity in the spatial distribution of fluxes was investigated by considering three subareas of the watershed that contain strongly contrasting scales of autocorrelation of topography and surface cover. Increase in topographical com- plexity yielded a small decrease in spatial average net radiation and a large increase in spatial standard deviation, driven most signi?cantly by incident shortwave radiation. The regional averages scaled more or less linearly, whereas subregional-scale spatial variability differed dramatically.},
Doi = {10.1175/1520-0450(2003)042<0113:SVOSRF>2.0.CO;2},
File = {OliphantEtAl2003.pdf:OliphantEtAl2003.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Oliveira2008,
Title = {Testes estatísticos para comparação de médias},
Author = {A. F. G. Oliveira},
Journal = {Revista Eletrônica Nutritime},
Pages = {777-788},
Volume = {5},
Year = {2008},
Number = {6},
File = {Oliveira2008.pdf:Oliveira2008.pdf:PDF},
Keywords = {multiple comparison},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.15},
Url = {http://www.nutritime.com.br/arquivos_internos/artigos/076V5N6P777_788_NOV2008_.pdf}
}
@Phdthesis{Oliveira2013,
Title = {Atributos edáficos e adubação nitrogenada em cana de açúcar em tabuleiros costeiros: respostas a sistemas de colheita com e sem queima da palhada},
Author = {Oliveira, Ana Paula Pessim de},
Year = {2013},
File = {Oliveira2013.pdf:Oliveira2013.pdf:PDF},
Keywords = {latex; ufrrj;},
Owner = {alessandro},
Timestamp = {30.10.2013}
}
@Article{OliveiraEtAl2004,
Title = {Acúmulo de metais pesados e capacidade de impermeabilização do solo imediatamente abaixo de uma célula de um aterro de resíduos sólidos},
Author = {Fernando Jorge Santos Oliveira and José Fernando Thomé Jucá},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {211-217},
Volume = {9},
Year = {2004},
File = {:Engenharia Sanitária e Ambiental/Oliveira & Jucá_Eng Sanit Ambient_2004.pdf:PDF},
Keywords = {Contaminação, solo, metais pesados, resíduos sólidos urbanos.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.scielo.br/pdf/esa/v9n3/v9n3a07.pdf}
}
@Conference{Oliveira2005,
Title = {Reflexões sobre critérios diagnósticos para níveis categóricos mais baixos e sobre designação de horizontes},
Author = {Oliveira, João Bertoldo de},
Booktitle = {Congresso Brasileiro de Ciência do Solo},
Year = {2005},
Address = {Recife},
Edition = {30},
File = {Oliveira2005.pdf:Oliveira2005.pdf:PDF},
Institution = {Universidade Federal Rural de Pernambuco},
Keywords = {Sistema Brasileiro de Classificação de Solos; SiBCS},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.21}
}
@Techreport{Oliveira2005a,
Title = {As séries e o novo Sistema Brasileiro de Classificação de Solos. Tem-se condições de gerenciar o seu estabelecimento oficial?},
Address = {Rio de Janeiro},
Author = {Oliveira, João Bertoldo de},
Pages = {4},
Year = {2005},
File = {Oliveira2005b.pdf:Oliveira2005b.pdf:PDF},
Institution = {EMBRAPA-SOLOS},
Keywords = {SiBCS},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.21}
}
@Mastersthesis{Oliveira2011,
Title = {Analysis of digital surface models generated from images of PRISM/ALOS sensor},
Author = {Oliveira, Leila Freitas de},
Pages = {163},
School = {Programa de Pós-Graduação em Engenharia Civil, Universidade Federal de Viçosa},
Year = {2011},
Keywords = {egm96; geoid; elipsoid; dem;},
Url = {http://www.tede.ufv.br/tedesimplificado/tde_arquivos/42/TDE-2012-04-02T102358Z-3677/Publico/texto%20completo.pdf}
}
@Phdthesis{Oliveira2001,
Title = {Determinação de alguns parâmetros indicadores de poluição por efluente líquido em um aterro sanitário},
Author = {Selene Oliveira},
Pages = {92},
School = {Universidade Estadual Paulista},
Year = {2001},
Keywords = {Solid waste, sanitary landfill, leachate, heavy metal, groundwater},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{OliveiraEtAl2004a,
Title = {Avaliação de parâmetros indicadores de poluição por efluente líquido de um aterro sanitário},
Author = {Selene Oliveira and Antenor Pasqual},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {240-249},
Volume = {9},
Year = {2004},
File = {:Engenharia Sanitária e Ambiental/Oliveira & Pasqual_Eng Sanit Ambient_2004.pdf:PDF},
Keywords = {Resíduos sólidos urbanos, metais pesados, lixiviado, águas subterrâneas.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.scielo.br/pdf/esa/v9n3/v9n3a10.pdf}
}
@Techreport{MedeirosEtAl2008,
Title = {Sistema de Informação de Solos Brasileiros},
Address = {Campinas},
Author = {Oliveira, Stanley Robson de Medeiros and Henri Rodrigues Zurmely and Francisco Alves de Lima Júnior and Humberto Gonçalves Santos and Margareth P Simões Meirelles},
Pages = {8},
Publisher = {Embrapa},
Year = {2008},
File = {MedeirosEtAl2008.pdf:MedeirosEtAl2008.pdf:PDF},
ISSN = {1677-9274},
Owner = {alessandro},
Timestamp = {15.07.2013}
}
@Article{OliverEtAl2004,
Title = {Variation in soil carbon in pine plantations and implications for monitoring soil carbon stocks in relation to land-use change and forest site management in New Zealand},
Author = {G.R. Oliver and P.N. Beets and L.G. Garrett and S.H. Pearce and M.O. Kimberly and J.B. Ford-Robertson and K.A. Robertson},
Journal = {Forest Ecology and Management},
Pages = {283-294},
Volume = {203},
Year = {2004},
Abstract = {Various methods were assessed to determine the impact of forest harvesting on mineral soil carbon (C) in Pinus radiata stands at Puruki catchment in the central North Island of New Zealand. Previous work at this site reported a reduction in soil carbon of 3.6 Mg ha1 in the top 0.1 m over one 23-year rotation of pine on improved pasture [Beets, P.N., Oliver, G.R., Clinton, P.W., 2002. Soil carbon protection in podocarp/hardwood forest, and the effects of conversion to pasture and exotic pine forest. J. Environ. Pollut. 116, S63?S73]. In this study, by sampling before and after harvesting, a further reduction of 3.1 Mg ha1 (significant at P = 0.05) in mineral soil carbon stocks to 0.1 m depth was found to be associated with harvesting disturbance. However, less intensive sampling was unable to detect any significant harvesting effects in depths down to 2 m. Variation between plots was large, and it was estimated that to detect a 10% change in carbon content with 95% confidence 19 permanent plots would be required for 0?0.1 m depth and 40 permanent plots required to detect changes to 1 m depth. Soil C content to 1 m depth in Puruki Rua subcatchment was estimated to average between 143 and 164 Mg ha1. In two paired-site studies comparing pasture with second rotation pine, the difference between land-uses in mineral soil C content to 0.1 m depth was 19.6 Mg ha1 in volcanic soil at Kaingaroa and 8.5 Mg ha1 in high clay activity soil at Ngaumu. Significant differences in mineral soil C between pine and pasture was found with cumulative depth down to 2 m, well below the rooting depth of pasture, which suggests that historic factors overshadowed influences of the current land-use and can account for the difference in soil carbon. At Kaingaroa, variability in soil carbon content was high at all depths measured, and to detect a 10% difference in soil carbon content with 95% confidence approximately 60 pits measured to 1 m depth would be required.},
Doi = {10.1016/j.foreco.2004.07.045},
File = {:Forest Ecology and Management/Oliver et al_Forest Ecol Manage_2004.pdf:PDF},
Keywords = {Soil carbon; Carbon stocks; Land-use change; Harvesting effects; Carbon monitoring},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{OliverEtAl1991,
Title = {How geostatistics can help you},
Author = {Oliver, M. A. and Webster, R.},
Journal = {Soil Use and Management},
Pages = {206-217},
Volume = {7},
Year = {1991},
Number = {4},
Abstract = {Geostatistics is basically a technology for estimating the local values of properties that vary in space from sample data. Research and development in the last 15 years has shown it to be eminently suited for soil and ripe for application in soil survey and land management. The basic technique, ordinary kriging, provides unbiased estimates with minimum and known variance. Data for related variables can be incorporated to improve estimates using cokriging. By more elaborate analysis using disjunctive kriging the probabilities of deficiency and excess can be estimated to aid decision.The variogram is crucial in all geostatistics; it must be estimated reliably from sufficient data at a sensible scale and modelled properly. Once obtained it can be used not only in the estimation itself but also to choose additional sampling sites, improve a monitoring network or design an optimal sampling scheme for a survey. It may also be used to control a multivariate classification so that the resulting classes are not too fragmented spatially to manage.},
Doi = {10.1111/j.1475-2743.1991.tb00876.x},
File = {OliverEtAl1991.pdf:OliverEtAl1991.pdf:PDF}
}
@Article{OliverEtAl1987,
Title = {The elucidation of soil pattern in the {W}yre {F}orest of the {W}est {M}idlands, {E}ngland. {II}. {S}patial distribution},
Author = {Oliver, M. A. and Webster, R.},
Journal = {Journal of Soil Science},
Pages = {293–307},
Volume = {38},
Year = {1987},
Month = {Jun},
Number = {2},
Doi = {10.1111/j.1365-2389.1987.tb02146.x},
File = {OliverEtAl1987.pdf:OliverEtAl1987.pdf:PDF},
ISSN = {0022-4588},
Keywords = {Sampling; DSM; Pedometrics; Nested; Design; Optimization;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{OliverEtAl1986,
Title = {Combining nested and linear sampling for determining the scale and form of spatial variation of regionalized variables},
Author = {Oliver, Margaret A. and Webster, R.},
Journal = {Geographical Analysis},
Pages = {227–242},
Volume = {18},
Year = {1986},
Month = {Jul},
Number = {3},
Doi = {10.1111/j.1538-4632.1986.tb00095.x},
File = {OliverEtAl1986.pdf:OliverEtAl1986.pdf:PDF},
ISSN = {0016-7363},
Keywords = {Sampling; Spatial; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@InCollection{OlmosEtAl1982,
Title = {Concentração preliminar de Podzólico Bruno-Acinzentado tentativamente identificados no pais},
Author = {Olmos, J and Camargo, M N},
Booktitle = {Conceituação sumária de algumas classes de solos recém-reconhecidas nos levantamentos e estudos de correlação do SNLCS},
Publisher = {Serviço Nacional de Levantamento e Conservação do Solo},
Year = {1982},
Address = {Rio de Janeiro},
Note = {(circular tecnica 1)},
Pages = {25-31},
Owner = {alessandro},
Timestamp = {12.02.2014}
}
@Article{OlszevskiEtAl2007,
Title = {Estimativa do estoque de carbono em unidades geoambientais da bacia hidrográfica do Rio Preto},
Author = {Nelci Olszevski and Carlos Ernesto Goncalves and Liovando Marciano Costa and Elpidio Inácio Fernandes.Filho},
Journal = {Revista de Biologia e Ciências da Terra},
Pages = {56-64},
Volume = {7},
Year = {2007},
Abstract = {Este trabalho teve como objetivo estimar o estoque de carbono em perfis de solos de unidades geoambientais (UGs) da Bacia Hidrográfica do Rio Preto. As UGs foram delimitadas a partir da estratificação do meio físico e os valores de C total nos solos foram estimados em perfis descritos do Projeto Radambrasil. As áreas ocupadas por cada classe de solo foram estimadas em função de características pedo-geomorfológicas e, para o cálculo final da estimativa de C em cada UG, o valor médio de C por classe de solo foi multiplicado pela área ocupada por esta classe. Identificaram-se 4 UGs: (i) Maciço Montanhoso do Itatiaia/Alto Rio Preto: 106 t C ha-1 em altitudes que variam de 2787 a 1700 m e cobertura pedológica formada por Cambissolos e Latossolos Vermelho Amarelos; (ii) Planalto Soerguido do Alto Rio Preto: 96 t C ha-1 em altitudes entre 600 e 1.100 m e áreas isoladas que alcançam 1500 m, com cobertura pedológica representada por Cambissolos álicos, Latossolos Vermelho Amarelos e Afloramentos de Rochas; (iii) Maciço Montanhoso em Rochas Metassedimentares Proterozóicas: 71 t C ha-1, em altitudes que variam de 900 a 1.600 m e de 500 a 1.000 m com cobertura pedológica representada por Cambissolos, Latossolos Vermelho Amarelos e Afloramentos de Rochas; (iv) Planalto Deprimido do Médio Baixo Rio Preto: 55 t C ha-1 em altitudes que variam de 600 a 800 m, podendo chegar a 340 m e cobertura pedológica representada por Latossolos Vermelho Amarelos e Cambissolos álicos. Os valores de C encontrados nas UGs foram decrescendo quando se partiu da área localizada em altitudes maiores e com menor intervenção antrópica até a UG com menores altitudes, maior contingente populacional e atividades agropecuárias mais intensas. Isto indica que a metodologia fornece uma estimativa satisfatória, porém sem precisão de valores, apenas indicações sobre a relação do uso do solo e a conservação de C no sistema.},
Keywords = {meio físico; estoque de carbono},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{Omueti1980,
Title = {Sodium hypochlorite treatment for organic matter destruction in tropical soils of Nigeria},
Author = {J. A. I. Omueti},
Journal = {Soil Science Society of America Journal},
Pages = {878-880},
Volume = {44},
Year = {1980},
Abstract = {Supporting evidence for the universal usefulness of NaOCl in removing organic matter from soils is needed. Apart from its higher efficiency in organic matter destruction, NaOCl adjusted to pH 9.5 was found to be an effective dispersing reagent for savannah soils (which make up over 60% of the land area of Nigeria) during particle size analysis. The additional discovery of the use of NaOCl was considered to be very significant over the conventional H2O2 method where extra treatment with (NaPO3)8 was needed to obtain dispersion. However, in the case of fine textured forest soils it was found that for them to be in the dispersed state, additional washing with 2% aqueous Na2CO3-HaHCO3 must be performed after the NaOCl pretreatment.},
Keywords = {Hydrogen peroxide, soil dispersion, sodium hexametaphosphate, savannah soil},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVOTc1NTVjNjItNmJjYS00MGY1LThlZGMtYTczZDE2ODhmZmI5&hl=en&authkey=CLKa4rQE}
}
@Article{OostEtAl2007,
Title = {The impact of agricultural soil erosion on the global carbon cycle},
Author = {K. Van Oost and T. A. Quine and G. Govers and S. De Gryze and J. Six and J. W. Harden and J. C. Ritchie and G. W. McCarty and G. Heckrath and C. Kosmas and J. V. Giraldez and J. R. Marques Da Silva and R. Merckx},
Journal = {Science},
Pages = {626-629},
Volume = {318},
Year = {2007},
Abstract = {Agricultural soil erosion is thought to perturb the global carbon cycle, but estimates of its effect range from a source of 1 petagram per year?1 to a sink of the same magnitude. By using caesium-137 and carbon inventory measurements from a large-scale survey, we found consistent evidence for an erosion-induced sink of atmospheric carbon equivalent to approximately 26% of the carbon transported by erosion. Based on this relationship, we estimated a global carbon sink of 0.12 (range 0.06 to 0.27) petagrams of carbon per year?1 resulting from erosion in the world?s agricultural landscapes. Our analysis directly challenges the view that agricultural erosion represents an important source or sink for atmospheric CO 2 .},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.sciencemag.org/content/318/5850/626.full}
}
@Article{OrEtAl2009,
Title = {Liquid behavior in partially saturated porous media under variable gravity},
Author = {Dani Or and Markus Tuller and Scott B. Jones},
Journal = {Soil Science Society of America Journal},
Pages = {341-350},
Volume = {73},
Year = {2009},
Abstract = {Plant growth in restricted volumes of porous material is of interest for advanced life support systems for the National Aeronautics and Space Administration?s future space missions. Reduced gravity conditions may affect ? uid behavior in partially saturated porous media, requiring special considerations for growth media selection and root module design to ensure reliable water, air, and nutrient supply. Evidence suggests that ? uid displacement patterns become unstable and enhance phase entrapment in the absence of gravity, thereby modifying macroscopic transport properties essential for ? uid management decisions. Parabolic ? ight experiments have shown that preferential ? ows may lead to phase (air or gas) entrapment that would affect gaseous diffusion, as illustrated by lattice Boltzmann simulations. In microgravity, unstable ? ow patterns and particle rearrangement introduce uncertainty associated with particulate root growth media. These ? ndings suggest that future efforts toward designing porous media and plant root modules in reduced gravity should focus on engineered plant growth media with stable pore space and spatially segregated domains that support water and nutrient retention in addition to gas exchange.},
Doi = {10.2136/sssaj2008.0046},
File = {OrEtAl2009.pdf:OrEtAl2009.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Article{OrsiEtAl2011,
Title = {Towards a common set of criteria and indicators to identify forest restoration priorities: an expert panel-based approach},
Author = {Francesco Orsi and Davide Geneletti and Adrian C. Newton},
Journal = {Ecological Indicators},
Pages = {337 - 347},
Volume = {11},
Year = {2011},
Number = {2},
Abstract = {Ecological restoration of forest ecosystems is increasingly being implemented in many parts of the world, as a response to widespread forest loss and degradation. In common with other conservation management interventions, restoration efforts should be directed towards areas where the maximum benefits are likely to be achieved. Such prioritisation requires the development of appropriate criteria and indicators (C&I), an issue poorly addressed by previous research. In particular, there is need for C&I that are operational, suitable for spatial analysis and mapping and applicable to a broad range of contexts. This investigation aimed to verify whether this might be achieved through the elicitation of experts' opinion, when considering biodiversity conservation as the main objective of restoration. A Delphi process was performed, aimed at defining the key ecological criteria and a broad set of indicators. 389 criteria and 669 related indicators were provided in total and grouped into clusters relating to individual criteria. A total of 20 criteria referred to the need for restoration and 18 to its feasibility. In the second round of the Delphi process, 8 definitive criteria were identified along with some 90 related indicators. Finally, a face-to-face meeting was conducted to show how ready-to-use C&I can be obtained for application to a specific context starting from the Delphi's results. The study highlights the potential value of combining the Delphi process and face-to-face meetings for identifying practically applicable C&I for planning ecological restoration. However, the diversity of views identified within a single group of stakeholders suggests that the development of a generally applicable set of C&I for forest restoration will be difficult to achieve in practice.},
Doi = {DOI: 10.1016/j.ecolind.2010.06.001},
File = {:Ecological Indicators/Orsi et al_Ecol Indic_2011.pdf:PDF},
ISSN = {1470-160X},
Keywords = {Delphi survey; redemds; expert knowledge;},
Url = {http://www.sciencedirect.com/science/article/B6W87-50G5H5F-2/2/1f174e1406d7629bbf6ceeb38c7384e6}
}
@Article{OrtonEtAl2011,
Title = {Geostatistical prediction of nitrous oxide emissions from soil using data, process models and expert opinion},
Author = {Orton, T. G. and Goulding, K. W. T. and Lark, R. M.},
Journal = {European Journal of Soil Science},
Pages = {359-370},
Volume = {62},
Year = {2011},
Month = {Apr},
Number = {3},
Doi = {10.1111/j.1365-2389.2011.01367.x},
File = {OrtonEtAl2011.pdf:OrtonEtAl2011.pdf:PDF},
ISSN = {1351-0754},
Keywords = {Expert; Knowledge; Variable; Selection;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{OseiEtAl1999,
Title = {Electrophoretic mobility of some tropical soil clays: effect of iron oxides and organic matter},
Author = {B.A. Osei and B. Singh},
Journal = {Geoderma},
Pages = {325-334},
Volume = {93},
Year = {1999},
Abstract = {The effect of organic matter and iron oxides on the electrophoretic mobility EM behaviour of some colloidal clay fractions of some tropical soils was studied. The clays from the A-horizon of the soils were treated to remove organic matter oxidation by Na hypochlorite treatment , ferrihydrite by acid ammonium oxalate and better crystalline iron oxides reductive dissolution . by dithionite?citrate?bicarbonate treatment . Organic matter and iron oxides particularly better crystalline ones contributed to the pH-dependent charge. The removal of organic matter resulted in an increase in the EM and isoelectric point iep . Deferration decreased both the EM and iep of the soil clays. Increase in pH resulted in negative EM while salt concentration did not have consistent effect on the EM and iep values.},
File = {:Geoderma/Osei & Singh_Geoderma_1999.pdf:PDF},
Keywords = {electrophoretic mobility; isoelectric point and tropical soil clays},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706199000786}
}
@Article{OudwaterEtAl2003,
Title = {Methods and issues in exploring local knowledge of soils},
Author = {Nicoliene Oudwater and Adrienne Martin},
Journal = {Geoderma},
Pages = {387?401},
Volume = {111},
Year = {2003},
Abstract = {There is a wide range of literature about the relevance of local knowledge, its use and the importance of integrating local knowledge into more formal research settings. Although it is widely recognised that the underlying principles of local and scientific knowledge differ, very little has actually been written about the process of exploring and integrating knowledge sources, particularly the implications of the choice and combination of methodologies and tools used. In this paper, we present our findings from a research project conducted in two villages in Tanzania and two villages in Uganda. The project?s objective was to develop methodologies for comparing and integrating scientific and indigenous knowledge of soil and land resources, using Geographical Information System (GIS) as an integration domain. Our focus is on methods and issues in exploring local knowledge of soils. We first give a short overview of the process of exploring local knowledge of soils and the different methodologies used. We present some of the limitations and opportunities that we have encountered during the analysis, arising from the differences in methodologies used and the epistemological differences associated with each knowledge source. The paper highlights the risk that an uncritical approach to local knowledge may lead to misunderstandings and misconceptions that are not apparent until more detailed research is conducted.},
File = {:Geoderma/Oudwater & Martin_Geoderma_2003.pdf:PDF},
Keywords = {Local knowledge; Local soil classifications; Research methodology; GIS; Tanzania; Uganda},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002732}
}
@Article{OzcanEtAl2008,
Title = {Use of USLE/GIS technology integrated with geostatistics to assess soil erosion risk in different land uses of Indagi Mountain Pass-Çank?r?, Turkey},
Author = {A. Ugur Ozcan and Gunay Erpul and Mustafa Basaran and H. Emrah Erdogan},
Journal = {Environmental Geology},
Pages = {1731-1741},
Volume = {53},
Year = {2008},
Abstract = {The universal soil loss equation (USLE) is an erosion model to estimate average soil loss that would generally result from splash, sheet, and rill erosion from agricultural plots. Recently, use of USLE has been extended as a useful tool predicting soil losses and planning control practices by the effective integration of the GIS-based procedures to estimate the factor values on a grid cell basis. This study was performed for ?ve different lands uses of Indag?? Mountain Pass, Cank?r? to predict the soil erosion risk by the USLE/GIS methodology for planning conser- vation measures in the site. Of the USLE factors, rainfall- runoff erosivity factor (USLE-R) and topographic factor (USLE-LS) were greatly involved in GIS. These were sur- faced by correcting USLE-R site-speci?cally using DEM and climatic data and by evaluating USLE-LS by the ?ow accumulation tool using DEM and watershed delineation tool to consider the topographical and hydrological effects on the soil loss. The study assessed the soil erodibility factor (USLE-K) by randomly sampled ?eld properties by geo- statistical analysis. Crop management factor for different land-use/land cover type and land use (USLE-C) was assigned to the numerical values from crop and ?ora type, canopy and density of ?ve different land uses, which are plantation, recreational land, cropland, forest and grassland, by means of reclassifying digital land use map available for the site. Support practice factor (USLE-P) was taken as a unit assuming no erosion control practices. USLE/GIS technology together with the geostatistics combined these major erosion factors to predict average soil loss per unit area per unit time. Resulting soil loss map revealed that spatial average soil loss in terms of the land uses were 1.99, 1.29, 1.21, 1.20, 0.89 t ha ?1 year ?1 for the cropland, grass- land, recreation, plantation and forest, respectively. Since the rate of soil formation was expected to be so slow in Central Anatolia of Turkey and any soil loss of more than 1 ton ha ?1 year ?1 over 50?100 years was considered as irreversible for this region, soil erosion in the Indag?? Mountain Pass, to the great extent, attained the irreversible state, and these ?ndings should be very useful to take mitigation measures in the site.},
Doi = {10.1007/s00254-007-0779-6},
File = {:Environmental Geology/Ozcan et al_Environ Geol_2008.pdf:PDF},
Keywords = {USLE/GIS technology, Geostatistics, Erosion risk assessment, Land use},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{PachecoEtAl2004,
Title = {Integração de processos físico-químicos e oxidativos avançados para remediação de percolado de aterro sanitário (chorume)},
Author = {J.R. Pacheco and P.G. Peralta-Zamora},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {306-311},
Volume = {9},
Year = {2004},
File = {:Engenharia Sanitária e Ambiental/Pacheco & Peralta-Zamora_Eng Sanit Ambient_2004.pdf:PDF},
Keywords = {Chorume, processos integrados, processos oxidativos avançados.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.scielo.br/pdf/esa/v9n4/v9n4a06.pdf}
}
@Article{PainEtAl1995,
Title = {Inversion of relief - a component of landscape evolution},
Author = {Colin F. Pain and C.D. Oilier},
Journal = {Geomorphology},
Pages = {151 - 165},
Volume = {12},
Year = {1995},
Number = {2},
Abstract = {Inversion of relief occurs when materials on valley floors are, or become, more resistant to erosion than the adjacent valley slopes. As erosion proceeds, the valley floor becomes a ridge bounded by newly formed valleys on each side. Areas of lava flows contain many examples of inversion of relief, but it is also common in areas of duricrusts. Inversion of relief is so widespread in some areas that it should be regarded as a general component in a model of landscape evolution. Inversion of relief has some important implications. Drainage lines will shift significantly over time. Slope-soil relationships (catenas) have to be reassessed, because the regolith on the upper part of a hill slope may have developed under very different conditions from those existing at present. The resulting catena is not a simple expression of soils and response to landscape position. This also has important implications for geochemistry. Where present day ridge tops were once valley floors, geochemical signatures will reflect lateral water movement in the old landscape rather than simple in situ weathering and vertical redistribution in the present landscape. Finally, inversion of relief can produce erosion surfaces of very low relief that cannot be termed peneplains, pediplains or etchplains because they have a very different genesis. This underlines the importance of determining the complexities of landscape evolution before such genetic terms are applied to any landscape.},
Doi = {10.1016/0169-555X(94)00084-5},
File = {PainEtAl1995.pdf:PainEtAl1995.pdf:PDF},
ISSN = {0169-555X},
Keywords = {redemds},
Url = {http://www.sciencedirect.com/science/article/pii/0169555X94000845}
}
@Article{PaisaniEtAl2010,
Title = {{Evolution of hillslopes in the Basaltic Plateau based on the analysis of colluvium deposits - Middle Valley of Marrecas River - SW Paraná}},
Author = {J.C. Paisani and F. Geremia},
Journal = {Geociências},
Pages = {321-334},
Volume = {29},
Year = {2010},
Number = {3},
Abstract = {This article presents the properties of deposit of colluvium in high slopes as a fundament for understanding the evolution of slopes of middle valley of Marrecas River, commended by morphogenesis. It has bee proceeded as it follows: a) the description of two stratigraphic sections in the sector of high slopes; b) the texture matrix of colluvial unities, which the percentages of particle size were plotted in Flemming triangular diagram; c) the determination of mineralogy of clay fraction; and d) the micro morphological description. The properties of colluvial deposits of the two stratigraphic sections made possible to characterize the pedological source cover of its material and to identify the respective disposal process. Exposing both information, it is possible to understand the role of morphogenesis in the evolution of slopes area. The morphogenesis was presented in the studied slopes through the frequent action of superficial running. Exceptional pluviometric events were responsible for the unleashing of mass movements in the rebording of plateau, generating deposits of colluvial in high slopes. These not usual events correspond to the last evolutionary stages of slopes, accelerating its recoil and modifying its morphology. It is believed that these phenomena acted in scale in the middle valley of Marrecas River.},
File = {PaisaniEtAl2010.pdf:PaisaniEtAl2010.pdf:PDF},
Keywords = {dnos; geologia; geomorfologia; serra geral; patamar;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.12}
}
@Article{PaivaEtAl2001,
Title = {Evolução de processo erosivo acelerado em trecho do arroio {Vacacaí-Mirim}},
Author = {Eloiza Maria Cauduro Dias Paiva and João Batista Dias Paiva and Attus Pereira Moreira and Gilton Fabiano Maffini and Adalberto Meller and Paulo Roberto Jaques Dill},
Journal = {Revista Brasileira de Recursos Hídricos},
Pages = {129-135},
Volume = {6},
Year = {2001},
Abstract = {Este trabalho apresenta os resultados do monitoramento de um processo erosivo acelerado em trecho de aproximadamente 1 km do Arroio Vacacaí Mirim, a montante do reservatório do DNOS. São apresentados e comparados os levantamentos de campo realizados em agosto e dezembro de 1999, época em que tais processos foram mais marcantes. Com a finalidade de comparar as alterações do leito em relação ao leito estável, é apresentado levantamento planimétrico contendo delimitação das margens do trecho de rio em estudo em 1992 e a situação atual. Embora processos antrópicos tenham ocorrido no período, a causa mais provável do apareci- mento do processo erosivo é o alto índice pluviométrico registrado no mês de outubro de 1997, provocan- do uma desestabilização do leito e margens de um trecho do rio.},
File = {:Revista Brasileira de Recursos Hídricos/Paiva et al_Rev Bras Rec Hidr_2001.pdf:PDF},
Keywords = {sedimentos; erosão; estabilidade fluvial; geologia;},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.abrh.org.br/}
}
@Inproceedings{PalamaraEtAl2006,
Title = {High-resolution topographic data for subsidence impact assessment and smp preparation: methods and considerations},
Author = {Daniel Palamara and Gary Brassington and Phil Flentje and Ernest Baafi},
Booktitle = {Coal 2006: Coal Operators' Conference},
Pages = {276-292},
Year = {2006},
Address = {Wollongong},
Month = {6 ? 7 July 2006},
Abstract = {Corporate and social requirements relating to sustainable mining practices have resulted in an increasing need for identification and assessment of natural features that may be susceptible to coalmine-induced subsidence. Natural features such as, cliff lines, watercourses and steep slopes, that are typically susceptible to subsidence-induced impacts can often be identified and quantified using high-resolution topographic data and a geographic information system (GIS). Once identified, digital representations of these features can be used in the impact assessment process and for Subsidence Management Plan (SMP) preparation. This paper demonstrates the use of topographic data for site characterisation and feature identification purposes by mapping susceptible areas for a study site, including valley floors, steep slopes, drainage lines, and erosion-prone areas. It also discusses the potential use of topographic data and GIS for assessing subsidence impacts through knowledge- and data-driven approaches. The assessment of pre- and post-subsidence hydrological conditions is also shown for two swamps within the study area. The area over the proposed Dendrobium Area 2 operation in the Southern Coalfield was chosen as a case study site, and high-resolution airborne laser scan data were acquired for the site from BHP Billiton.},
File = {PalamaraEtAl2006.pdf:PalamaraEtAl2006.pdf:PDF},
Institution = {University of Wollongong / Australasian Institute of Mining and Metallurgy},
Keywords = {saga gis; valley depth;},
Location = {University of Wollongong},
Owner = {Alessandro},
Timestamp = {2011.02.15},
Url = {http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1054&context=coal}
}
@Techreport{Panel2000,
Title = {Summary for policymakers - land use, land-use change, and forestry},
Author = {IPCC Intergovernmental Panel},
Pages = {1-30},
Year = {2000},
Institution = {Intergovernmental Panel on Climate Change},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Book{PansuEtAl2003,
Title = {Handbook of Soil Analysis - Mineralogical, Organic and Inorganic Methods},
Author = {Marc Pansu and Jacques Gautheyrou},
Year = {2003},
File = {:manual/PansuEtAl2003.pdf:PDF},
Keywords = {manual; soil; analysis; laboratory;},
Owner = {alessandro},
Timestamp = {16.07.2013}
}
@Article{PapiniEtAl2011,
Title = {Influence of land use on organic carbon pool and chemical properties of Vertic Cambisols in central and southern Italy},
Author = {R. Papini and G. Valboa and F. Favilli and G. L'Abate},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {68-79},
Volume = {140},
Year = {2011},
Abstract = {Land use strongly influences soil properties and unsuitable practices lead to degradation of soil and environmental quality. The aim of this study was to assess the impact of different land uses on some chemical properties of soils developed from Pliocene clays, within hilly environments of central and southern Italy. The areas investigated are located in Vicarello di Volterra (Pisa, Tuscany), S. Quirico d'Orcia (Siena, Tuscany) and Soveria Simeri (Catanzaro, Calabria). Within each area different land uses were compared, including a natural ecosystem (Mediterranean bush), a perennial grass or pasture and an intensive crop (wheat, as monoculture or in rotation). The soils were sampled at 0.0-0.1, 0.1-0.2 and 0.2-0.4 m depth and analysed for particle size, pH, bulk density, cation exchange capacity and exchangeable cations, total organic carbon (TOC) and humified carbon (HC) concentrations, organic carbon stock and total N. The stratification ratio of soil organic carbon was calculated to characterize soil organic carbon distribution with depth. At all sites, soil under Mediterranean bush contained the largest amounts of TOC (as both concentration and stock), HC, total N and exchangeable K, together with the highest cation exchange capacity and the lowest pH values. The decrease in soil OC stock with land use change from natural to agricultural ecosystem was 65-85% to 0.1 m depth, 55-82% to 0.2 m depth and 44-76% to 0.4 m depth, with the lowest decrements for perennial grass from S. Quirico and the highest decrement for continuous wheat from Soveria Simeri. Continuous wheat cropping, based on conventional tillage, proved to be the least sustainable land use. At Soveria Simeri, the organic carbon content under pasture was not significantly larger than under wheat cultivation, probably because of grazing mismanagement; however, organic carbon under pasture was more humified. At S. Quirico, the perennial grass resulted in a significant increase in soil organic carbon at the soil surface relative to the wheat cultivation, while at Vicarello no differences were observed between alfalfa/wheat rotation and perennial grass. Our results lead to the questioning of sustainability of intensive cereal farming and uncontrolled grazing in the considered environments, emphasizing the need for greater attention to conservative land managements.},
Doi = {DOI: 10.1016/j.agee.2010.11.013},
File = {PapiniEtAl2011.pdf:Agriculture Ecosystems and Environment/PapiniEtAl2011.pdf:PDF},
ISSN = {0167-8809},
Keywords = {Continuous wheat},
Url = {http://www.sciencedirect.com/science/article/B6T3Y-51PH814-1/2/bb073d7ce4c97e751929f8929f1b053c}
}
@Mastersthesis{Paranhos2003,
Title = {Avaliação de metodologia para a estimativa de produção de sedimentos em uma pequena bacia rural de encosta},
Address = {Santa Maria},
Author = {Raquel Maldaner Paranhos},
Pages = {129},
School = {Programa de Pós Graduação em Engenharia Civil, Federal University of Santa Maria},
Year = {2003},
Keywords = {DNOS;},
Owner = {alessandro},
Timestamp = {2013.05.03},
Url = {http://w3.ufsm.br/enquadra/Trabalhos/DissAnteriores/Raquel.pdf}
}
@Article{Parfitt2009,
Title = {Allophane and imogolite: role in soil biogeochemical processes},
Author = {Parfitt, R.L.},
Journal = {Clay Minerals},
Pages = {135-155},
Volume = {44},
Year = {2009},
Abstract = {The literature on the formation, structure and properties of allophane and imogolite is reviewed, with particular emphasis on the seminal contributions by Colin Farmer. Allophane and imogolite occur not only in volcanic-ash soils but also in other environments. The conditions required for the precipitation of allophane and imogolite are discussed. These include pH, availability of Al and Si, rainfall, leaching regime, and reactions with organic matter. Because of their excellent water storage and physical properties, allophanic soils can accumulate large amounts of biomass. In areas of high rainfall, these soils often occur under rain forest, and the soil organic matter derived from the forest biomass is stabilized by allophane and aluminium ions. Thus the turnover of soil organic matter in allophanicsoils is slower than that in non-allophanic soils. The organic matter appears to be derived from the microbial by-products of the plant material rather than from the plant material itself. The growth of young forests may be limited by nitrogen supply but growth of older forests tends to be P limited. Phosphorus is recycled through both inorganic and organic pathways, but it is also strongly sorbed by Al compounds including allophane. When crops are grown in allophanic soils, large amounts of labile P are required and, accordingly, these soils have to be managed to counteract the large P sorption capacity of allophane and other Al compounds, and to ensure an adequate supply of labile P. Because of their physical and chemical properties, allophanic soils are excellent filters of heavy metals and pathogens.},
Doi = {10.1180/claymin.2009.044.1.135},
File = {:Clay Minerals/Parfitt_Clay Miner_2009.pdf:PDF},
Owner = {Administrador},
Timestamp = {2011.01.08}
}
@Article{ParkEtAl2007,
Title = {L1-regularization path algorithm for generalized linear models},
Author = {Park, Mee Young and Hastie, Trevor},
Journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
Pages = {659--677},
Volume = {69},
Year = {2007},
Number = {4},
Abstract = {Summary. We introduce a path following algorithm for L1-regularized generalized linear models. The L1-regularization procedure is useful especially because it, in effect, selects variables according to the amount of penalization on the L1-norm of the coefficients, in a manner that is less greedy than forward selection–backward deletion. The generalized linear model path algorithm efficiently computes solutions along the entire regularization path by using the predictor–corrector method of convex optimization. Selecting the step length of the regularization parameter is critical in controlling the overall accuracy of the paths; we suggest intuitive and flexible strategies for choosing appropriate values. We demonstrate the implementation with several simulated and real data sets.},
Doi = {10.1111/j.1467-9868.2007.00607.x},
File = {ParkEtAl2007.pdf:ParkEtAl2007.pdf:PDF},
ISSN = {1467-9868},
Keywords = {Generalized linear model, Lasso, Path algorithm, Predictor–corrector method, Regularization, Variable selection},
Owner = {alessandro},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {11.07.2013},
Url = {http://dx.doi.org/10.1111/j.1467-9868.2007.00607.x}
}
@Article{ParkEtAl2002,
Title = {Environmental correlation of three-dimensional soil spatial variability: a comparison of three adaptive techniques},
Author = {S.J. Park and P.L.G. Vlek},
Journal = {Geoderma},
Pages = {117 - 140},
Volume = {109},
Year = {2002},
Number = {1-2},
Abstract = {An appropriate inclusion of spatial variation of soils is becoming increasingly important for spatially distributed ecological modelling approaches. Even though soils are anisotropic vertically and laterally, most soil spatial variability studies have focused on the lateral variation of soil attributes over the landscape. This study characterizes the complexity of three-dimensional variations of individual soil attributes and examines the possibility of predicting soil property distribution using three different regression approaches: artificial neural networks (ANN), regression trees (RT) and general linear models (GLM). Thirty-two physiochemical attributes of 502 soil samples were collected from 64 soil profiles on a slope at Bicknoller Combe, Somerset, UK. After a principal component analysis, five soil attributes were selected to test for environmental correlation, assuming they reflect dominant pedological processes at the hillslope. Vegetation occurrence, soil types, terrain parameters and soil sample depth were used as predictors. Prediction using environmental variables was most successful for soil attributes whose spatial distribution is strongly influenced by lateral hydrological and slope processes with relatively simple depth functions (e.g. total exchangeable bases, Mn oxides and soil pH). These soil attributes also showed a high mobility, which implies that their spatial distribution quickly reaches an equilibrium with current slope processes. Soil taxonomic information only marginally improved the performance of models constructed from surface information such as vegetation and terrain parameters. On the other hand, soil attributes whose vertical distribution is strongly governed by vertical pedogenesis or unknown factors were poorly modelled by environmental variables due to stronger nonlinearity in their vertical distribution. Soil taxonomic information becomes more important for predicting these soil attributes. As an empirical modelling tool, GLM with interaction terms outperformed the other two methods tested, ANN and RT, in terms of both the simplicity of the model structure and the performance of derived empirical functions.},
Doi = {DOI: 10.1016/S0016-7061(02)00146-5},
File = {:Geoderma/Park and Vlek_Geoderma_2002.pdf:PDF},
Keywords = {Artificial neural networks, redemds, stepwise}
}
@Misc{Parsad20xx,
Title = {Multiple comparison procedures},
Author = {Rajender Parsad},
Year = {20xx},
File = {Parsad20xx.pdf:Parsad20xx.pdf:PDF},
Keywords = {multiple comparison},
Owner = {Alessandro Samuel Rosa},
Pages = {12},
Timestamp = {2012.08.15}
}
@Techreport{Partners2009,
Title = {Estimation of carbon stocks in the soil organic carbon pool},
Author = {Avoided Deforestation Partners},
Pages = {1-9},
Year = {2009},
Institution = {XXXX},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Book{PashleyEtAl2004,
Title = {Applied colloid and surface chemistry},
Author = {Richard M. Pashley and Marilyn E. Karaman},
Pages = {188},
Publisher = {Chichester, England: John Wiley and Sons},
Year = {2004},
Edition = {1},
File = {PashleyEtAl2004.pdf:Book/PashleyEtAl2004.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{PatersonEtAl1996,
Title = {Urban soils as pollutant sinks - a case study from Aberdeen, Scotland},
Author = {E. Paterson and M. Sanka and L. Clark},
Journal = {Applied Geochemistry},
Pages = {129 - 131},
Volume = {11},
Year = {1996},
Note = {Environmental Geochemistry, Selected Papers from the 3rd International Symposium},
Number = {1-2},
Abstract = {The chemical composition of soils from 80 sites within the city of Aberdeen in north-east Scotland have been determined by aqua-regia digestion and inductively coupled plasma emission spectroscopy. Within the urban dataset soils from roadside locations show enhanced contents of Pb, Zn, Ba and Cu and can be readily distinguished from those obtained from city parks. However, comparison of the composition of the urban soils with rural soils, derived from similar parent material, show that chemically these 2 groups of soils now have little in common.},
Doi = {DOI: 10.1016/0883-2927(95)00081-X},
ISSN = {0883-2927},
Url = {http://www.sciencedirect.com/science/article/B6VDG-3Y2G13N-N/2/8ecf773b0b7dd57b26bbd7d7f6433612}
}
@Mastersthesis{Paula2009,
Title = {O fenômeno El Niño oscilação sul e a erosividade das chuvas em Santa Maria - RS},
Address = {Santa Maria},
Author = {Gizelli Moiano Paula},
Pages = {51},
School = {Federal University of Santa Maria},
Year = {2009},
Abstract = {Um dos fenômenos de grande escala que mais afetam o tempo e o clima de diferentes locais na superfície terrestre e que tem sido bastante estudado nas últimas três décadas é o fenômeno El Niño Oscilação Sul (ENOS). O ENOS provoca alterações na circulação atmosférica que afetam os elementos meteorológicos, principalmente a precipitação pluviométrica, em todas as regiões do Brasil. Em anos de El Niño, fase positiva do fenômeno, a precipitação pluviométrica é freqüentemente acima da normal na Região Sul do Brasil e em anos de La Niña, fase negativa do fenômeno, a precipitação pluviométrica é freqüentemente abaixo da normal. Algumas características das precipitações pluviométricas são afetadas pelo ENOS como a freqüência, a intensidade e a quantidade. Essas características são importantes para se definir se as chuvas são erosivas. Existem alguns métodos de determinação da erosividade das chuvas, através de índices de erosividade, entre os quais, o melhor e mais usado no Rio Grande do Sul (RS) é o Índice de Erosividade EI 30 . O objetivo desta dissertação foi determinar e associar o Índice de Erosividade EI 30 das chuvas com o fenômeno ENOS para Santa Maria, RS. Usaram-se os dados de precipitação diária retirados de pluviogramas a partir de 01 de julho de 1978 a 30 de junho de 2008 coletados na Estação Climatológica Principal de Santa Maria, RS. As chuvas individuais e erosivas foram identificadas nos pluviogramas, classificadas em anos de El Nino, La Niña e Neutros e calculado o seu índice EI 30 . Também foram classificadas as chuvas em padrões de chuvas Avançado, Intermediário e Atrasado. Foi realizada a análise de correlação de Pearson e análise de regressão entre o Índice de Erosividade EI 30 e o Índice Oceânico do Niño (ION) e a significância da regressão foi testada com o teste t com o objetivo de quantificar a associação entre as duas variáveis, com vistas à possível previsibilidade do potencial erosivo das chuvas a partir de anomalias de Temperatura da Superfície do Mar (TSM) no Oceano Pacífico. O potencial erosivo das chuvas em Santa Maria é afetado pelo fenômeno ENOS, de modo que um maior número de chuvas tem maior potencial erosivo em anos de El Niño e em anos Neutros. A variabilidade do potencial erosivo das chuvas em Santa Maria é maior nos anos Neutros do que nos anos de anomalia da TSM. A distribuição de freqüência do índice de erosividade EI 30 de chuvas individuais é assimétrica positiva em anos de El Niño, La Niña e Neutros. O padrão das chuvas é alterado em anos de anomalia da TSM no sentido de que nos anos El Niño há um leve acréscimo nas chuvas de padrão avançado e em anos de La Niña há um leve acréscimo nas chuvas de padrão atrasado, e no padrão intermediário, decrescem o número de chuvas em anos de El Niño e La Niña comparado com anos Neutros. A capacidade preditiva do potencial erosivo das chuvas em Santa Maria pelo Índice ION é fraca ou inexistente.},
Keywords = {índice de erosividade; ENOS; potencial erosivo; padrões de chuva},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.07.2010},
Url = {http://w3.ufsm.br/ppgea/admin/dissertacoes/1805091439_Gizelli_Moiano_de_Paula_Dissertacao_de_Mestrado.pdf}
}
@InCollection{Pawlowsky-GlahnEtAl2006,
Title = {Compositional data and their analysis: an introduction},
Author = {V. Pawlowsky-Glahn and J. J. Egozcue},
Booktitle = {Compositional data analysis in the geosciences: from theory to practice},
Publisher = {Geological Society, London, Special Publications},
Year = {2006},
Editor = {A. Buccianti and G. Mateu-Figueras and V. Pawlowsky-Glahn},
Pages = {1-10},
Volume = {264},
Abstract = {Compositional data are those which contain only relative information. They are parts of some whole. In most cases they are recorded as closed data, i.e. data summing to a constant, such as 100% ? whole-rock geochemical data being classic examples. Compositional data have important and particular properties that preclude the application of standard statistical techniques on such data in raw form. Standard techniques are designed to be used with data that are free to range from - 8 to + 8. Compositional data are always positive and range only from 0 to 100, or any other constant, when given in closed form. If one component increases, others must, perforce, decrease, whether or not there is a genetic link between these components. This means that the results of standard statistical analysis of the relationships between raw components or parts in a compositional dataset are clouded by spurious effects. Although such analyses may give apparently interpretable results, they are, at best, approximations and need to be treated with considerable circumspection. The methods outlined in this volume are based on the premise that it is the relative variation of components which is of interest, rather than absolute variation. Log-ratios of components provide the natural means of studying compositional data. In this contribution the basic terms and operations are introduced using simple numerical examples to illustrate their computation and to familiarize the reader with their use.},
Doi = {10.1144/GSL.SP.2006.264.01.01},
Owner = {Administrador},
Timestamp = {2011.08.19},
Url = {http://sp.lyellcollection.org/content/264/1/1.full.pdf+html}
}
@Article{PaytonEtAl2003,
Title = {Contrasting approaches to integrating indigenous knowledge about soils and scientific soil survey in East Africa and Bangladesh},
Author = {R.W. Payton and J.J.F. Barr and A. Martin and P. Sillitoe and J.F. Deckers and J.W. Gowing and N. Hatibu and S.B. Naseem and M. Tenywa and M.I. Zuberi},
Journal = {Geoderma},
Pages = {355?386},
Volume = {111},
Year = {2003},
Abstract = {Methodologies for collection and integration of scientific and indigenous soils knowledge are discussed in relation to two interdisciplinary projects involving soil scientists, other natural scientists and anthropologists. In Uganda and Tanzania, participatory methods paralleled scientific soil survey. Indigenous or ?local? soil classification was explored by a semi-structured, iterative discussion with farmers, resulting in classes that could be related to scientific taxa. However, the relation of farmers? cognitive soil maps to scientific soil maps in the Geographical Information Systems (GIS), developed as an integration domain, was problematic. In-depth analysis was only achieved through geo-referencing local knowledge (LK) using global positioning system (GPS). In Bangladesh, ethnographic methods obtained local soils knowledge and its socio-cultural context, and accompanied scientific surveys of floodplain soils and agroecosystems. Subsequent data processing included database and GIS tools, but there were problems systematically relating the two knowledge bases. The sequencing of, and iteration between, methods used to access and analyse geo-referenced scientific and local soils knowledge are critical considerations in such research.},
File = {:Geoderma/Payton et al_Geoderma_2003.pdf:PDF},
Keywords = {Soil indigenous knowledge; Soil local knowledge; Soil survey method; GIS; Integrated land resource survey; Soil classification},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002720}
}
@Manual{PCI2009,
Title = {Geomatica OrthoEngine v10.2 Tutorial - Orthorectifying RapidEye Data - RPC and Rigorous Modeling},
Author = {PCI},
Year = {2009},
File = {PCI2009.pdf:PCI2009.pdf:PDF},
Owner = {alessandro},
Timestamp = {06.12.2013},
Url = {http://www.pcigeomatics.com/pdf/Geomatica_v102_Ortho_Tutorial_RapidEye.pdf}
}
@Manual{PCIGeomatics2007,
Title = {Geomatica\textregistered{} OrthoEngine\textregistered{} 10.1 User Guide},
Author = {{PCI Geomatics}},
Pages = {174},
Year = {2007},
Note = {(Version 10.1)},
File = {PCIGeomatics2007.pdf:PCIGeomatics2007.pdf:PDF},
Url = {http://www.gis.unbc.ca/help/software/pci/orthoeng.pdf}
}
@Manual{Pebesma2013,
Title = {gstat: spatial and spatio-temporal geostatistical modelling, prediction and simulation},
Address = {Viena},
Author = {Edzer Pebesma},
Pages = {70},
Publisher = {R Project},
Year = {2013},
Abstract = {variogram modelling; simple, ordinary and universal point or block (co)kriging, sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions.},
File = {Pebesma2013.pdf:Pebesma2013.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.02.16},
Url = {http://cran.r-project.org/web/packages/gstat/index.html}
}
@Manual{Pebesma2013a,
Title = {The meuse data set: a brief tutorial for the gstat R package},
Address = {Viena},
Author = {Pebesma, E.},
Pages = {17},
Publisher = {R Project},
Year = {2013},
Abstract = {The meuse data set is a data set comprising of four heavy metals measured in the top soil in a flood plain along the river Meuse. The governing process seems that polluted sediment is carried by the river, and mostly deposited close to the river bank. This document shows a geostatistical analysis of this data set. This tutorial introduced the functionality of the R package gstat, used in conjunction with package sp. Package gstat provides a wide range of univariable and multivariable geostatistical modelling, prediction and simulation functions, where package sp provides general purpose classes and methods for defining, importing/exporting and visualizing spatial data.},
File = {Pebesma2013a.pdf:Pebesma2013a.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.02.19},
Url = {cran.r-project.org/web/packages/gstat/vignettes/gstat.pdf}
}
@Manual{PebesmaEtAl2012,
Title = {sp: classes and methods for spatial data},
Address = {Viena},
Author = {Edzer Pebesma and Roger Bivand and Barry Rowlingson and Virgilio Gomez-Rubio},
Pages = {103},
Publisher = {R Project},
Year = {2012},
File = {PebesmaEtAl2012.pdf:PebesmaEtAl2012.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.02.18},
Url = {http://cran.r-project.org/web/packages/sp/index.html}
}
@Manual{PebesmaEtAl2013,
Title = {intamap{I}nteractive: procedures for automated interpolation - methods only to be used interactively, not included in intamap package},
Author = {Edzer Pebesma and Jon Skoien},
Pages = {25},
Year = {2013},
Note = {{R} package version 1.1-10 with contributions from O. Baume, A. Chorti, D.T. Hristopulos, S.J. Melles and G. Spiliopoulos},
Abstract = {A package that provides additional functionality for spatial interpolation in the intamap package.},
File = {PebesmaEtAl2013.pdf:PebesmaEtAl2013.pdf:PDF},
Owner = {alessandro},
Timestamp = {28.06.2013},
Url = {http://cran.r-project.org/web/packages/intamapInteractive/index.html}
}
@Techreport{Pebesma2009,
Title = {INTAMAP - {I}nteroperability and {A}utomated {M}apping. {D}eliverable 4.7. {E}nvironmental monitoring network optimization with {INTAMAP}},
Author = {Edzer J Pebesma},
Year = {2009},
File = {Pebesma2009.pdf:Pebesma2009.pdf:PDF},
Keywords = {Spatial; Simulated; Annealing;},
Url = {http://www.intamap.org/documents/D4_7_Optimization_of_networks.pdf}
}
@Article{Pebesma2004,
Title = {Multivariable geostatistics in S: the gstat package},
Author = {Edzer J Pebesma},
Journal = {Computers \& Geosciences},
Pages = {683-691},
Volume = {30},
Year = {2004},
Number = {7},
Abstract = {This paper discusses advantages and shortcomings of the S environment for multivariable geostatistics, in particular when extended with the gstat package, an extension package for the S environments (R, S-Plus). The gstat S package provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions. In particular, it makes the calculation, simultaneous fitting, and visualisation of a large number of direct and cross (residual) variograms very easy. Gstat was started 10 years ago and was released under the GPL in 1996; gstat.org was started in 1998. Gstat was not initially written for teaching purposes, but for research purposes, emphasising flexibility, scalability and portability. It can deal with a large number of practical issues in geostatistics, including change of support (block kriging), simple/ordinary/universal (co)kriging, fast local neighbourhood selection, flexible trend modelling, variables with different sampling configurations, and efficient simulation of large spatially correlated random fields, indicator kriging and simulation, and (directional) variogram and cross variogram modelling. The formula/models interface of the S language is used to define multivariable geostatistical models. This paper introduces the gstat S package, and discusses a number of design and implementation issues. It also draws attention to a number of papers on integration of spatial statistics software, GIS and the S environment that were presented on the spatial statistics workshop and sessions during the conference Distributed Statistical Computing 2003.},
Doi = {10.1016/j.cageo.2004.03.012},
File = {Pebesma2004.pdf:Computers and Geosciences/Pebesma2004.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Kriging, redemds}
}
@Article{PebesmaEtAl1999,
Title = {Latin {H}ypercube {S}ampling of {G}aussian {R}andom {F}ields},
Author = {Pebesma, Edzer J. and Heuvelink, Gerard B.M.},
Journal = {Technometrics},
Pages = {303--312},
Volume = {41},
Year = {1999},
Month = {Nov},
Number = {4},
Doi = {10.1080/00401706.1999.10485930},
File = {PebesmaEtAl1999.pdf:PebesmaEtAl1999.pdf:PDF},
ISSN = {1537-2723},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro},
Publisher = {Informa UK Limited}
}
@Article{PebesmaEtAl1997,
Title = {Mapping groundwater quality in the {Netherlands}},
Author = {Pebesma, Edzer J. and de Kwaadsteniet, J.W.},
Journal = {Journal of Hydrology},
Pages = {364–386},
Volume = {200},
Year = {1997},
Month = {Dec},
Number = {1-4},
Doi = {10.1016/s0022-1694(97)00027-9},
File = {PebesmaEtAl1997.pdf:PebesmaEtAl1997.pdf:PDF},
ISSN = {0022-1694},
Keywords = {Lognormal; back-transform;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Manual{PechtaEtAl,
Title = {The Kile Handbook},
Author = {Jonathan Pechta and Federico Zenith and Holger Danielsson and Thomas Braun and Michel Ludwig and Felix Mauch},
File = {PechtaEtAl.pdf:PechtaEtAl.pdf:PDF},
Keywords = {LaTeX},
Owner = {alessandro},
Timestamp = {29.10.2013}
}
@InCollection{Peckham2009,
Title = {Geomorphometry in RiverTools},
Author = {S.D. Peckham},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {18},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {411 - 430},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00018-4},
File = {Peckham2009.pdf:Peckham2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {history and development of RiverTools},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-X/2/30956eee49e38c2011add555ae5ccf71}
}
@InCollection{Peckham2009a,
Title = {Geomorphometry and spatial hydrologic modelling},
Author = {S.D. Peckham},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {25},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {579 - 602},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00025-1},
File = {Peckham2009a.pdf:Peckham2009a.pdf:PDF},
ISSN = {0166-2481},
Keywords = {how can DEMs be used for spatial hydrologic modelling?},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-15/2/325f012b196a7b5b9718254ee6d1ed9a}
}
@Phdthesis{Pedron2007,
Title = {Mineralogia, morfologia e classificação de saprolitos e {N}eossolos derivados de rochas vulcânicas no {R}io {G}rande do {S}ul},
Author = {Pedron, Fabrício Araújo},
Pages = {160},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2007},
Address = {Santa Maria},
File = {Pedron2007.pdf:phdthesis/Pedron2007.pdf:PDF},
Keywords = {geologia; bacia do paraná;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.27},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Mastersthesis{Pedron2005,
Title = {Classification of land use potencial in the urban perimeter of {S}anta {M}aria - {RS}},
Address = {Santa Maria},
Author = {Fabrício Araújo Pedron},
Pages = {65s},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2005},
File = {Pedron2005.pdf:dissertação/Pedron2005.pdf:PDF},
Keywords = {soil survey; santa maria;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.02.16},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Article{PedronEtAl2009,
Title = {Morphology and taxonomy classification of neossolos and saprolites derived from volcanic rock of the Serra Geral formation in Rio Grande do Sul, Brazil},
Author = {Fabrício Araújo Pedron and Antonio Carlos Azevedo and Ricardo Simão Diniz Dalmolin and Sidinei Leandro Klockner Stürmer and Fábio Pacheco Menezes},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {119-128},
Volume = {33},
Year = {2009},
Abstract = {The soil types Neossolos Litólicos (Leptosols) and Neossolos Regolíticos (Regosols) have been poorly studied in Brazil, due to their relatively low potential for agricultural use. Consequently the morphological description of Neossolos in the field is also hampered, particularly in terms of contacts between soil, saprolite and rock, and their classification in the Brazilian Soil Classification System. The purpose of this study was: to define morphologically the contact between soil, saprolite and rock in Neossolos; generate data of the saprolite layer and test an inclusion in the suborder Neossolos Litólicos and Neossolos Regolíticos; and evaluate the diagnostic attributes and classes available in the Brazilian Soil Classification System for the of Neossolos Litólicos and Regolíticos derived from volcanic rocks of the Serra Geral formation in Rio Grande do Sul, State, Brazil. Five profiles of litho-climosequence were analyzed. The contacts were characterized based on the straight shovel excavation test associated to analyses of saprolite fracture and weathering classes. The contacts related to the presence of saprolite layers identified in the profile are not taken into consideration in the Brazilian Soil Classification System. Diagnostic attributes for the classification of Neossolos Regolíticos were proposed as well as a change of the term from "Regolítico" to "Saprolítico". New classes were also suggested for the third categorical level, based on information such as soil position and saprolite contact, excavation resistance and cracking level of the material. The proposed diagnostic attributes and classes allowed a more adequate classification of Neossolos derived from volcanic rocks in the State of Rio Grande do Sul.},
File = {PedronEtAl2009.pdf:Revista Brasileira de Ciência do Solo/PedronEtAl2009.pdf:PDF},
Keywords = {pedology, shallow soils, soil morphology, soil classification, Brazilian soil classification system},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.25},
Url = {http://dx.doi.org/10.1590/S0100-06832009000100013}
}
@Article{PedronEtAl2006b,
Title = {Spatial dynamic analysis of the land occupation and their conflicts of use in the urban perimiter of {S}anta {M}aria - {RS} (1975 – 2002)},
Author = {Pedron, Fabrício Araújo and Dalmolin, Ricardo Simão Diniz and Azevedo, Antonio Carlos and Botelho, Marcio Ramos and Alessandro Samuel-Rosa},
Journal = {Ciência Rural},
Pages = {1756–1764},
Volume = {36},
Year = {2006},
Month = {Dec},
Number = {6},
Doi = {10.1590/s0103-84782006000600014},
File = {PedronEtAl2006b.pdf:my_publications/2006/Ciencia Rural/PedronEtAl2006b.pdf:PDF},
ISSN = {0103-8478},
Keywords = {PhDpaper1},
Owner = {alessandro},
Publisher = {FapUNIFESP (SciELO)}
}
@Article{PedronEtAl2004,
Title = {Solos urbanos},
Author = {Fabrício Araújo Pedron and Ricardo Simão Diniz Dalmolin and Antônio Carlos Azevedo and João Kaminski},
Journal = {Ciência Rural},
Pages = {1647-1653},
Volume = {34},
Year = {2004},
Abstract = {A forte pressão provocada pela expansão urbana desordenada sobre os recursos naturais, principalmente os solos, tem provocado danos, muitas vezes de difícil reparo. A grande concentração populacional em centros urbanos cada vez maiores tem dirigido a atenção de diferentes profissionais para o recurso solo, no sentido de entender sua dinâmica para minimizar sua degradação. No entanto, a falta de conhecimento sobre as propriedades, bem como sobre a aptidão dos solos sob uso urbano tem provocado o seu mau uso, resultando em processos como compactação, erosão, deslizamentos e inundações, assim como poluição com substâncias orgânicas, inorgânicas e patógenos, aumentando os custos do desenvolvimento afetando toda a sociedade. Neste sentido, este texto discute como o conhecimento pedológico pode diminuir os efeitos negativos provocados pelo processo de urbanização.},
File = {:Ciência Rural/Pedron et al_Cienc Rural_2004.pdf:PDF},
Keywords = {pedologia, levantamento de solos, classificação de solos, poluição dos solos, planejamento de uso dos solos urbanos, paisagismo.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.scielo.br/pdf/cr/v34n5/a53v34n5.pdf}
}
@Article{PedronEtAl2006,
Title = {Utilização do sistema de avaliação do potencial de uso urbano das terras no diagnóstico ambiental do município de {S}anta {M}aria - {RS}},
Author = {Fabrício Araújo Pedron and Ricardo Simão Diniz Dalmolin and Antonio Carlos Azevedo and Everton Luis Poelking and Pablo Miguel},
Journal = {Ciência Rural},
Pages = {468-477},
Volume = {36},
Year = {2006},
Abstract = {A expansão urbana acelerada tem provocado diversos impactos negativos ao ambiente. A necessidade de novas metodologias que permitam um planejamento mais adequado dos recursos naturais é cada dia mais evidente. O objetivo deste trabalho foi realizar um diagnóstico ambiental em áreas urbanas de Santa Maria - RS, determinando-se os conflitos de uso das terras através, do Sistema de Avaliação do Potencial de Uso Urbano das Terras (SAPUT). Foram utilizados produtos e técnicas de sensoriamento remoto e geoprocessamento de imagens. Os problemas de uso indevido das terras identificados estão relacionados com a fragilidade do material geológico e do recurso solo. Até 33% da área vem apresentando utilização acima do seu potencial devido ao seu uso inadequado para construções e agricultura urbana.},
File = {:Ciência Rural/Pedron et al_Cienc Rural_2006b.pdf:PDF},
Keywords = {levantamento de solos, pedologia, solos, uso das terras, sensoriamento remoto.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.scielo.br/pdf/cr/v36n2/a17v36n2.pdf}
}
@Article{PedronEtAl2006a,
Title = {A aptidão de uso da terra como base para o planejamento da utilização dos recursos naturais no município de São João do Polêsine ? RS},
Author = {Fabrício Araújo Pedron and Everton Luís Poelking and Ricardo Simão Diniz Dalmolin and Antonio Carlos Azevedo and Egon Klamt},
Journal = {Ciência Rural},
Pages = {105-112},
Volume = {36},
Year = {2006},
Abstract = {A falta de conhecimento da aptidão de uso da terra e do planejamento adequado da sua utilização tem sido fato freqüente ocasionando impactos negativos ao meio ambiente. Neste sentido, os objetivos deste trabalho foram determinar a aptidão de uso, uso atual e os conflitos de uso da terra, visando contribuir para o planejamento racional dos recursos naturais no município de São João do Polêsine (SJP), RS. A análise ambiental foi efetuada através da integração de diferentes planos de informações como solos, relevo, hidrografia, aptidão agrícola, uso das terras e áreas de preservação permanente (APP). SJP apresenta mais de 50% de sua área destinada a atividades agropecuárias, 14,8% do município enquadra-se como APP, sendo a metade dessa área utilizada inadequadamente. Os principais problemas relacionam-se com a utilização inadequada dos seus recursos naturais, sem considerar a legislação ambiental e a aptidão das terras no processo de planejamento.},
File = {:Ciência Rural/Pedron et al_Cienc Rural_2006a.pdf:PDF},
Keywords = {levantamento de solos, aptidão agrícola, conflitos de uso das terras, sensoriamento remoto, SIG.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.scielo.br/pdf/cr/v36n1/a16v36n1.pdf}
}
@Article{PedronEtAl2012,
Title = {Variation in pedological characteristics and the taxonomic classification of {A}rgissolos ({U}ltisols and {A}lfisols) derived from sedimentary rocks},
Author = {Pedron, Fabrício Araújo and Alessandro Samuel-Rosa and Ricardo S Diniz Dalmolin},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1-9},
Volume = {36},
Year = {2012},
Doi = {10.1590/S0100-06832012000100001},
File = {PedronEtAl2012.pdf:my_publications/2012/RBCS/PedronEtAl2012.pdf:PDF},
Keywords = {formação caturrita;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.25}
}
@Book{PedronEtAl2008,
Title = {Solos do perímetro urbano de {S}anta {M}aria - características, classificação e potencial de uso},
Address = {Santa Maria},
Author = {Pedron, Fabrício de Araújo and Ricardo Simão Diniz Dalmolin and Azevedo, Antônio Carlos de},
Pages = {143},
Publisher = {Orium},
Year = {2008},
File = {PedronEtAl2008.pdf:PedronEtAl2008.pdf:PDF},
Owner = {alessandro},
Timestamp = {10.06.2013}
}
@Article{PedronEtAl2010,
Title = {Morphology of soil-saprolite-rock contacts in neossolos derived from sandstone (caturrita formation) in Rio Grande do Sul, Brazil},
Author = {Pedron, Fabrício de Araújo and Fink, Jessé Rodrigo and Dalmolin, Ricardo Simão Diniz and Azevedo, Antonio Carlos de},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1941–1950},
Volume = {34},
Year = {2010},
Month = {Dec},
Number = {6},
Doi = {10.1590/s0100-06832010000600019},
File = {PedronEtAl2010.pdf:PedronEtAl2010.pdf:PDF},
ISSN = {0100-0683},
Owner = {alessandro},
Publisher = {FapUNIFESP (SciELO)}
}
@Inproceedings{PeiEtAl2007,
Title = {Mapping soil carbon using collocated cokriging with wetness index},
Author = {Tao Pei and Chengzhi Qin and Axing Zhu and Lin Yang and Baolin Li},
Booktitle = {12th Conference of Int. Association for Mathematical Geology. Beijing, China, August 26-31, 2007},
Pages = {391-395},
Year = {2007},
Month = {August 26-31},
Abstract = {Secondary information, especially exhaustive secondary information, is widely used in soil carbon mapping. However, the secondary information used in present methods is limited to analytical data and simple topographical indices derived from DEM, which lack the power to account for the immigration and distribution of soil carbon in cultivated fields. Hydrological information is more closely related to the immigration and distribution of soil carbon and so should be considered for soil carbon mapping. An exploration of several indices shows that the wetness index (WI, an index used to quantify the influence of hydrological process based on local topography), which incorporates topographical and hydrological information, using Collocated Cokriging (CC) yields the best result. This trial indicates that CC (with WI-md) not only significantly reduces estimation uncertainties but also reveals more details of the distribution of soil carbon.},
File = {PeiEtAl2007.pdf:Anais/PeiEtAl2007.pdf:PDF},
Location = {Beijing, China},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{PeltoniemiEtAl2004,
Title = {Changes in soil carbon with stand age - an evaluation of a modelling method with empirical data},
Author = {Peltoniemi, Mikko and Mäkipää, Raisa and Liski, Jari and Tamminen, Pekka},
Journal = {Global Change Biology},
Pages = {2078-2091},
Volume = {10},
Year = {2004},
Number = {12},
Abstract = {Abstract Forest soils store a substantial amount of carbon, often more than the forest vegetation does. Estimates of the amount of soil carbon, and in particular estimates of changes in these amounts are still inaccurate. Measuring soil carbon is laborious, and measurements taken at a few statistically unrepresentative sites are difficult to scale to larger areas.We combined a simple dynamic model of soil carbon with litter production estimated on the basis of stand parameters, models of tree allometry and biomass turnover rates of different biomass components. This integrated method was used to simulate soil carbon as forest stands develop. The results were compared with measurements of soil carbon from 64 forest sites in southern Finland.Measured carbon stocks in the organic soil layer increased by an average of 4.7±1.4 g m-2 a-1 with increasing stand age and no significant changes were measured in the amount of carbon in mineral soil. Our integrated method indicated that soil carbon stocks declined to a minimum 20 years after clear-cutting and the subsequent increase in the soil carbon stock (F/H - 1 m) was 5.8±1.0 g m-2 a-1 averaged over the period to next harvesting (~125 years). Simulated soil carbon accumulation slowed down considerably in stands older than 50 years. The carbon stock measured (F/H - 1 m) for the study area averaged 6.8±2.5 kg m-2. The simulated carbon stock in soil was 7.0±0.6 kg m-2 on average.These tests of the validity of the integrated model suggest that this method is suitable for estimating the amount of carbon in soil and its changes on regional scales.},
Doi = {10.1111/j.1365-2486.2004.00881.x},
ISSN = {1365-2486},
Keywords = {accumulation, boreal forest, decomposition, forest management, mineral soil, organic layer, soil carbon, soil model, simulation, testing},
Owner = {pccli},
Publisher = {Blackwell Science Ltd},
Timestamp = {2011.08.17},
Url = {http://dx.doi.org/10.1111/j.1365-2486.2004.00881.x}
}
@Book{Penck1953,
Title = {Morphological analysis of landforms: a contribution to physical geology},
Address = {London},
Author = {Walther Penck},
Pages = {429},
Publisher = {McMillan},
Year = {1953},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.28}
}
@Article{Peng2008,
Title = {A Method for Visualizing Multivariate Time Series Data},
Author = {Roger D. Peng},
Journal = {Journal of Statistical Software},
Pages = {1-17},
Volume = {25},
Year = {2008},
Keywords = {multivariate time series; vizualization;},
Url = {http://www.jstatsoft.org/v25/c01/paper}
}
@Book{PenidoEtAl2001,
Title = {Manual de gerenciamento integrado de resíduos sólidos},
Author = {José Henrique Penido and Carlos Eugênio Moutinho and Antônio Fernando Magalhães and Marco Antônio França and João Carlos Xavier and Tarquínio Prisco Fernandes and Gilson Leite Mansur},
Editor = {Victor Zular Zveibil},
Pages = {200},
Publisher = {IBAM},
Year = {2001},
Edition = {1},
Keywords = {Resíduos sólidos, aterro, gerenciamento},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{Peralvo2003,
Title = {Influence of DEM interpolation methods in Drainage Analysis},
Author = {Manuel Peralvo},
Year = {2003},
File = {Peralvo2003.pdf:Peralvo2003.pdf:PDF},
Keywords = {DEM Interpolation; Resampling; Kriging;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Article{PercivalEtAl2000,
Title = {Factors controlling soil carbon levels in New Zealand grasslands: is clay content important?},
Author = {Harry J. Percival and Roger L. Parfitt and Neal A. Scott},
Journal = {Soil Science Society of America Journal},
Pages = {1623-1630},
Volume = {64},
Year = {2000},
Abstract = {Soil organic matter is a major component of biogeochemical cycles and is important in maintaining soil quality. We investigated relationships between soil organic C and various soil and site properties that may influence long-term soil C accumulation across a range of soil orders in New Zealand. We used pedon and climatic data for 167 pedons under permanent grass, and carried out regression analysis between soil C (0-200 mm) contents it ha-1) or concentrations (g kg-1) and climatic and soil properties, namely, precipitation, temperature, and contents or concentrations of sand, silt, clay, pyrophosphate-extractable Al (Alpy), Fe oxide, and allophane. Soil clay content or concentration explained little of the variation in soil C across all soils (R2 < 0.05) and within each soil type. Likewise, mean annual precipitation and temperature explained little variation in soil C content or concentration (R2 < 0.15 for precipitation, R2 = 0.04 for temperature). Allophane content or concentration was unrelated to soil C in the soils of volcanic origin; Alpy, however, correlated strongly with both soil C content and soil C concentration across all soil types (R2 = 0.55 and 0.60, respectively). When all factors were combined in a multiple regression analysis, the combination of Alpy and allophane contents explained the greatest amount of variation in soil C content (R2 = 0.57), whereas the combination of Alpy, Fe oxide, allophane, and clay concentrations explained the greatest amount of variation in soil C concentration (R2 = 0.67). Out results suggest that in New Zealand soils, chemical stabilization of organic matter is the key process controlling soil C accumulation, and that clay content relates poorly to long-term soil organic C accumulation.},
Owner = {Alessandro},
Timestamp = {2011.01.03}
}
@Electronic{Perego2012,
Title = {SRTM DEM destriping with SAGA GIS: consequences on drainage network extraction},
Author = {Alessandro Perego},
HowPublished = {Online},
Month = {November},
Url = {http://www.webalice.it/alper78/},
Year = {2012},
File = {Perego2009.pdf:Perego2009.pdf:PDF},
Keywords = {topodata;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.13}
}
@Book{PereiraEtAl2002,
Title = {Agrometeorology: fundamentals and practical applications},
Address = {Guaíba},
Author = {Pereira, A R and Angelocci, L R and Sentelhas, P C},
Pages = {478},
Publisher = {Agropecuária},
Year = {2002},
Edition = {1},
Owner = {Administrador},
Timestamp = {2011.01.19}
}
@Article{AntenorEtAl2006,
Title = {Conhecimento local, modernização e o uso e manejo do solo: um estudo de etnopedologia no planalto sul catarinense},
Author = {João Antenor Pereira and João Fert.Neto and Olivio Ciprandi and Cleimon Eduardo Amaral Dias},
Journal = {Revista de Ciências Agroveterinárias},
Pages = {140-148},
Volume = {5},
Year = {2006},
Abstract = {A etnopedologia é a área que estuda o conhecimento que o povo tem acerca dos recursos do solo, levando em consideração os conhecimentos sobre a natureza e os valores da cultura e da tradição local. Tendo presente que o desenvolvimento rural não é somente uma questão de manejo dos solos, estudou-se os processos de desenvolvimento na região do Planalto Sul de Santa Catarina (PSSC), procurando relacionar o conhecimento das populações locais quanto ao uso e manejo do solo e seus efeitos sobre o desenvolvimento regional. As conclusões do trabalho foram que a aplicação do instrumental da etnopedologia é bastante útil a este tipo de estudo, revelando as bases antropológicas da utilização do solo; e ainda que há muito preconceito e falta de entendimento sobre a lógica própria da população serrana.},
Keywords = {desenvolvimento regional, etnopedologia, uso e manejo do solo.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {14.02.2010},
Url = {http://www.agroecologiaemrede.org.br/upload/arquivos/P312_2005-08-18_150249_446.pdf}
}
@Article{PereiraEtAl2006,
Title = {Organic carbon determination in histosols and soil horizons with high organic matter content from Brazil},
Author = {Marcos Gervasio Pereira and Gustavo Souza Valladares and Lúcia Helena Cunha Anjos and Vinícius Melo Benites and Ademar Espíndula and Adierson Gilvani Ebeling},
Journal = {Scientia Agricola},
Pages = {187-193},
Volume = {63},
Year = {2006},
Abstract = {Soil taxonomy systems distinguish mineral soils from organic soils based on the amount of soil organic carbon. Procedures adopted in soil surveys for organic carbon measurement are therefore of major importance to classify the soils, and to correlate their properties with data from other studies. To evaluate different methods for measuring organic carbon and organic matter content in Histosols and soils with histic horizons, from different regions of Brazil, 53 soil samples were comparatively analyzed by the methods of Walkley & Black (modified), Embrapa, Yeomans & Bremner, modified Yeomans & Bremner, muffle furnace, and CHN. The modified Walkley & Black (C-W & B md) and the combustion of organic matter in the muffle furnace (OM-Muffle) were the most suitable for the samples with high organic carbon content. Based on regression analysis data, the OM-muffle may be estimated from C-W & B md by applying a factor that ranges from 2.00 to 2.19 with 95% of probability. The factor 2.10, the average value, is suggested to convert results obtained by these methods.},
Doi = {10.1590/S0103-90162006000200012},
File = {PereiraEtAl2006.pdf:Scientia Agricola/PereiraEtAl2006.pdf:PDF},
Keywords = {comparação de métodos, carbono orgânico},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.04},
Url = {http://www.scielo.br/scielo.php?pid=S0103-90162006000200012&script=sci_arttext}
}
@Book{Pereira2004,
Title = {Princípios físicos em sensoriamento remoto},
Address = {Santa Maria},
Author = {Rudiney S Pereira},
Pages = {69},
Publisher = {Federal University of Santa Maria (UFSM)},
Year = {2004},
Edition = {1},
Abstract = {O conteúdo abrange aspectos relacionados às Resoluções, Radiação ótica com grandezas físicas e Leis Físicas, interações da REM com a superfície e a atmosfera e como se dá o processo de aquisição e interpretação de dados.},
File = {Pereira2004.pdf:Pereira2004.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.10},
Url = {http://geosere.ccr.ufsm.br/?q=content/princ%C3%ADpios-f%C3%ADsicos-em-sensoriamento-remoto}
}
@Article{Peres-NetoEtAl2005,
Title = {How many principal components? {Stopping} rules for determining the number of non-trivial axes revisited},
Author = {Peres-Neto, Pedro R. and Jackson, Donald A. and Somers, Keith M.},
Journal = {Computational Statistics and Data Analysis},
Pages = {974-997},
Volume = {49},
Year = {2005},
Number = {4},
Doi = {10.1016/j.csda.2004.06.015},
File = {PeresNetoEtAl2005.pdf:PeresNetoEtAl2005.pdf:PDF},
Keywords = {Monte Carlo simulations, Principal component analysis, Stopping rules; redemds; pca;},
Numpages = {24}
}
@Inbook{PessinEtAl2006,
Title = {Métodos transformação e aproveitamento da fração orgânica: minimização da quantidade de resíduos dispostos em aterro},
Author = {N. Pessin and F. Fernandes and C.T. Panarotto and A.R. Finotti and V.E. Schneider and S.M.C.P. Silva and A.L. Hossaka and M. Telh},
Booktitle = {Gerenciamento de resíduos sólidos urbanos com ênfase na proteção de corpos d'água: prevenção, geração e tratamento de lixiviados de aterros sanitários},
Editor = {Armando Borges de Castilhos Junior},
Pages = {17-63},
Publisher = {Rio de Janeiro: ABES},
Year = {2006},
Chapter = {2},
Owner = {Alessandro Samuel Rosa},
Timestamp = {31.07.2009}
}
@Inbook{PessinEtAl2003,
Title = {Monitoramento de aterros sustentáveis para municípios de pequeno porte},
Author = {N. Pessin and A.R. Silva and C.T. Panarotto},
Booktitle = {Resíduos sólidos urbanos: aterro sustentável para municípios de pequeno porte},
Editor = {Armando Borges de Castilhos Junior},
Pages = {107-141},
Publisher = {Rio de Janeiro: ABES},
Year = {2003},
Chapter = {4},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009}
}
@Article{PetigaraEtAl2002,
Title = {Mechanisms of Hydrogen Peroxide Decomposition in Soils},
Author = {B. R. Petigara and N.V. Blough and A. C. Mignerey},
Journal = {Environmental Science and Technology},
Pages = {639-645},
Volume = {36},
Year = {2002},
Abstract = {The rates and mechanisms of hydrogen peroxide (H2O2) decomposition were examined in a series of soil suspensions at H2O2 concentrations comparable to those found in rainwaters. The formation of hydroxyl radical (OH) as a possible decomposition intermediate was investigated using a new, highly sensitive method. In surface soils with higher organic matter or manganese content, H2O2 usually decayed rapidly, with disproportionation to water and dioxygen dominating the decomposition, whereas the formation of the hydroxyl radical (OH) represented <10% of the total H2O2 decomposed. In contrast, for soils with lower organic matter content, H2O2 usually decayed much more slowly, but OH was a major product of the H2O2 decomposed. The decomposition was principally associated with soil particles, not the soil supernatant. Different sterilization techniques indicated that decomposition of H2O2 was at least partly due to biological activity. Because the loss of H2O2 can largely be accommodated by the production of O2 and OH within these soils, our results suggest that disproportionation through a catalase-type mechanism and the production of OH through a Haber-Weiss mechanism represent the principal routes through which H2O2 is lost.},
File = {:Environmental Science & Technology/Petigara et al_Environ Sci Technol_2002.PDF:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://pubs.acs.org/doi/abs/10.1021/es001726y}
}
@Article{PettittEtAl1993a,
Title = {Sampling designs for estimating spatial variance components},
Author = {Pettitt, A. N. and McBratney, A. B.},
Journal = {Applied Statistics},
Pages = {185-209},
Volume = {42},
Year = {1993},
Number = {1},
Doi = {10.2307/2347420},
File = {PettittEtAl1993a.pdf:PettittEtAl1993a.pdf:PDF},
ISSN = {0035-9254},
Keywords = {Sampling; Design; DSM; Pedometrics;},
Owner = {alessandro}
}
@Article{PhatEtAl2004,
Title = {Appropriate measures for conservation of terrestrial carbon stocks - Analysis of trends of forest management in Southeast Asia},
Author = {Nophea Kim Phat and Wolfgang Knorr and Sophanarith Kim},
Journal = {Forest Ecology and Management},
Pages = {283-299},
Volume = {191},
Year = {2004},
Abstract = {The 21st century has brought new challenges for forest management at a time when global climate change is becoming increasingly apparent. Additional to various goods and services being provided to human beings, forest ecosystems are a large store of terrestrial carbon and account for a major part of the carbon exchange between the atmosphere and the land surface. Depending on the management regime, forests can thus be either a sink, or a source of atmospheric carbon. Southeast Asia or ASEAN comprises 10 countries of different cultures and political background. Rapid economic development and fast-growing population in the region have raised much concern over the use of natural resources, especially forest resources. This study aims at finding the appropriate measures for sustainable use and management of tropical forests on a long-term basis. Between 1990 and 2000, about 2.3 million ha of forest were cleared every year and lost to other forms of land use. In terms of carbon emissions, a net amount of approximately 465 million t per year were released to the atmosphere over the same period, which amounts to 29% of the global net carbon release from deforestation worldwide. This study provides an approach to analyzing the implications of alternative forest and land management options on forest carbon stocks. This is done in three steps: First, observed trends in land use are expressed in terms of a model in order to create a scenario for the period 1980?2050. Second, forest management practices and timber production rates are analyzed and three management scenarios are created: (1) continuing the current rate of exploitation, (2) management for long-term economic gains, and (3) climate-beneficial management. Third, the impact of the three scenarios on regional carbon storage is estimated on the basis of a carbon balance model. Comparing the additional rate of carbon sequestration of scenario (3) over scenario (2), and taking into account differing management costs, we also discuss a framework for industrialized countries to invest in carbon credits in the region in order to fulfil their commitments under present and future climate protection agreements.},
Doi = {10.1016/j.foreco.2003.12.019},
File = {:Forest Ecology and Management/Phat et al_Forest Ecol Manage_2004.pdf:PDF},
Keywords = {Southeast Asia; Carbon stock; Tropical forest management; Land-use change},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{Phillips2001,
Title = {Contingency and generalization in pedology, as exemplified by texture-contrast soils},
Author = {Jonathan D. Phillips},
Journal = {Geoderma},
Pages = {347 - 370},
Volume = {102},
Year = {2001},
Number = {3-4},
Abstract = {Soils and landscapes are subject to historical and spatial contingency, leading to locally unique pedologic features. This can make broad-scale generalizations difficult, impractical, or even impossible. The development of vertical texture-contrast soils with argillic horizons, for example, is potentially subject to all general forms of spatial and historical contingency. A case study in east Texas shows evidence both supporting and refuting five general classes of explanation for the formation of vertical textural contrasts. Multiple causality is likely, and attempts to apply any single explanation to a county-size area (and sometimes to a pedon) are not likely to be successful. The implication is not that pedologists should abandon the search for generalizations, but that the context in which laws and generalizations are developed needs rethinking. Explanatory constructs should be formulated not with the notion that a single explanation is likely to be applicable to most soils, but with the idea that multiple causality and polygenesis are likely, and that location-specific characteristics cannot be ignored. The search is directed not toward a single principle to explain the majority of cases and against which exceptions can be judged, but toward a set of principles that define the possibilities (or probabilities). Two analogies that may be useful in addressing historical and spatial contingency in soils are proposed, based on demographic and synoptic metaphors.},
Doi = {10.1016/S0016-7061(01)00041-6},
File = {:Geoderma/Phillips_Geoderma_2001.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Soils?evolution},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706101000416}
}
@Article{PhillipsEtAl1999,
Title = {Agricultural soil redistribution and landscape complexity},
Author = {Phillips, Jonathan D and Gares, Paul A and Slattery, Michael C},
Journal = {Landscape Ecology},
Pages = {197-211},
Volume = {14},
Year = {1999},
Note = {10.1023/A:1008024213440},
Abstract = {A number of hypotheses and conceptual models, particularly those emphasizing nonlinear dynamics and self-organization, postulate increases or decreases in complexity in the evolution of drainage basins, topography, soils, ecosystems, and other earth surface systems. Accordingly, it is important to determine under what circumstances and at what scales either trend might occur. This paper is concerned with changes in soil landscape complexity due to redistribution of sediment by fluvial, aeolian, and tillage processes at historical time scales in an agricultural field system near Grifton, North Carolina. Soil mapping and soil stratigraphic investigations were used to identify and map soil changes associated with erosion and deposition by water, wind, and tillage; reconstruct the pre-agricultural soil pattern; and identify transformations between soil types. The Kolmogorov entropy of the pre- and post- agricultural landscapes was then compared. The soil transformations associated with erosion and deposition created four distinct new soils and made possible new transformations among soil series, increasing the number of soil types from seven to 11 and the number of possible transformations from 14 to 22. However, the entropy and complexity of the soil landscape decreased, with associated increases in information and redundancy. The mass redistributions created a lower-entropy landscape by concentrating particular soils and soil transformations in specific landscape settings. This result is contrary to studies showing a trend toward increasing pedological complexity at comparable spatial scales, but over much longer time scales. These results point to the importance of temporal scale, and to the fact that environmental complexity is influenced by factors other than the number of different landscape units present.},
ISSN = {0921-2973},
Issue = {2},
Keyword = {Biomedical and Life Sciences},
Publisher = {Springer Netherlands},
Url = {http://dx.doi.org/10.1023/A:1008024213440}
}
@Article{PicardEtAl1984,
Title = {Cross-validation of regression models},
Author = {Picard, Richard R. and Cook, R. Dennis},
Journal = {Journal of the American Statistical Association},
Pages = {575-583},
Volume = {79},
Year = {1984},
Number = {387},
Abstract = {A methodology for assessment of the predictive ability of regression models is presented. Attention is given to models obtained via subset selection procedures, which are extremely difficult to evaluate by standard techniques. Cross-validatory assessments of predictive ability are obtained and their use illustrated in examples.},
Copyright = {Copyright © 1984 American Statistical Association},
File = {PicardEtAl1984.pdf:PicardEtAl1984.pdf:PDF},
ISSN = {01621459},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Sep., 1984},
Keywords = {redemds},
Language = {English},
Publisher = {American Statistical Association},
Url = {http://www.jstor.org/stable/2288403}
}
@Article{PieriniEtAl2002,
Title = {Integrated stratigraphic and geochemical study of the {S}anta {M}aria and {C}aturrita formations ({T}riassic of the {P}araná {B}asin), {S}outhern {B}razil},
Author = {Cristina Pierini and Ana Maria P. Mizusaki and Claiton M.S. Scherer and Daisy B. Alves},
Journal = {Journal of South American Earth Sciences},
Pages = {669-681},
Volume = {15},
Year = {2002},
Abstract = {Several analytical techniques were applied in the study of the Alemoa Member (Santa Maria formation) and Caturrita formation to make an assessment of changing paleoenvironmental conditions through the Triassic succession of southern Brazil. This included a integration of petrography, X-ray diffractometry, scanning electron microscopy and chemical analysis of both major and minor elements, as well as uranium (U) and thorium (Th). The studied succession comprises part of the Triassic continental deposits of the Parana? Basin in South America and represents channel deposits surrounded by ?ne-grained ?ood plain facies. This stratigraphic interval is interpreted as an anastomosing ?uvial system (Alemoa Member) that has gradually evolved into a braided system (Caturrita formation). The chemical index of alteration (CIA), which is determined through the rock chemical composition, was used to highlight weathering processes on primary minerals. The CIA follows an upward trend representing an increase on weathering conditions from the Alemoa Member to the Caturrita formation. The deep chemical alteration in the Caturrita formation suggests weathering under a humid, possibly tropical climate. These results are in agreement with U and Th analysis. The Th/U ratios rise toward the top of the section (Caturrita formation) suggesting an increasingly more humid climate. Thus, the gradual upward shift from an anastomosing to a braided ?uvial style is ascribed to a climate change, and related increase in palaeorainfall. The existence of interstrati?ed illite?smectite clay minerals, mud cracks and caliche concretions within the ?ood plain deposits suggests deposition under a hot climate with alternating wet and dry seasons. Therefore, the results of this work show that the integration of facies studies with mineralogical and geochemical analysis enhances our ability to perform detailed paleoenvironmental studies on continental successions.},
File = {:Journal of South American Earth Sciences/Pierini et al_J S Am Earth Sci_2002.pdf:PDF},
Keywords = {Stratigraphy; X-Ray diffractometry; Scanning electron microscopy; Chemical analysis; Triassic; Weathering; Climate},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0895981102001141}
}
@InCollection{PikeEtAl2009,
Title = {Geomorphometry: a brief guide},
Author = {R.J. Pike and I.S. Evans and Tomislav Hengl},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {1},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {3 - 30},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00001-9},
File = {PikeEtAl2009.pdf:PikeEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {basic definitions; projection;},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-9/2/c8edf88078b0cb3168ee80ccbb947911}
}
@Article{PimentelEtAl2006,
Title = {The incredible use of dangerous chemicals in the past},
Author = {Pimentel, L. C. F. and Chaves, C. R. and Freire, L. A A and Afonso, J C},
Journal = {Química Nova},
Pages = {1138-1149},
Volume = {29},
Year = {2006},
Keywords = {soc methods;},
Owner = {pccli},
Timestamp = {2011.05.24},
Url = {http://dx.doi.org/10.1590/S0100-40422006000500040}
}
@Article{PinderEtAl1998,
Title = {Classification and ordination of plant formations in the Pantanal of Brazil},
Author = {Laurenz Pinder and Sergio Rosso},
Journal = {Plant Ecology},
Pages = {151-165},
Volume = {136},
Year = {1998},
Abstract = {Classi?cation and ordination of plant formations are presented for a seasonally ?ooded plain of the Brazilian Pantanal. Phytosociological data were collected on 10 physiognomically distinct formations during the rainy, ?ood, and dry seasons. The degree of association among plant species was measured with Jaccard similarity index, and both Jaccard similarity index and Bray Curtis distance index were employed to classify sample units into similar groups. The ordination of plant species and sample units were performed with Correspondence Analysis. Four groups of plant formations were signi?cantly distinct on a quantitative basis: marsh ponds/waterlogged basins, short grasslands, tall grassland/scrub, and forest-edges. These formations were ordered along a gradient of topographic relief from depressions with permanent standing water (marshes) through ?ats subject to seasonal ?ooding (grasslands and scrub) and mounds of sandy soil above the ?ood level (forests). Although hydroperiod appears to be one of the most important variables, the distribution of plant species within wetlands is most probably explained by the interaction of many additional factors. A few plant species could be used as indicators of the local hydrological and edaphic conditions, e.g., Eleocharis elegans, Aeschynomene ?uminensis, Hydrolea spinosa, and Hymenachne amplexicaulis for marsh ponds, and Caperonia castaneifolia, Diodia kuntzei, and Eleocharis acutangula for waterlogged basins. The procedure presented in this study could be developed as a tool for the inventory and management of the Pantanal and other palustrine wetland habitats.},
Keywords = {Grassland, Marsh, Phytosociology, Savanna, Wet/dry wetland},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.springerlink.com/index/X58H1HR51L258W74.pdf}
}
@Mastersthesis{Pinheiro2012,
Title = {Digital soil mapping by artificial neural network of the {Guapi-Macacu watershed, RJ}},
Address = {Seropédica},
Author = {Helena Saraiva Koenow Pinheiro},
Pages = {138},
School = {Universidade Federal Rural do Rio de Janeiro},
Year = {2012},
Abstract = {The soil survey includes a description of the morphological, physical and chemical properties of soils in a given area, including technical description and interdisciplinary information, and supporting various purposes. The digital soil mapping makes possible to improve the products of pedological surveys through the use of geographic information system (GIS) tools, and knowledge of the soil genesis, morphology and classification, in regards the choice of attributes that represent a consistent approach to the reality, and seeking to produce a precise soil survey with efficiency (cost x time). The overall objective of this study was to characterize the landscape components to subsidizethe prediction of soil classes, using artificial neural networks (ANN's), to produce the digital soil map of the Rio Guapi-Macacu watershed, located in Rio de Janeiro State. The mapping involved 100 sample points which were analysed for chemical and physical propertiesandmorphological described, according to standard soil surveys methods in Brazil. The digital soil mapping involved the acquisition ofcartographic database, creating digital models that represent landscape attributes relevant to pedogenesis and soil classification, analysis ofsoil-landscape relationships, and ultimately supervised classification by ANN and validation of the mapping result. Given the approach usedand the processing tools of the data available, the digital elevation models (DEM's) were analysed, for the spatial resolution and how to acquire the model, to select the appropriate DEM to derive the morphometric attributes. The analyses showed as having superior quality the DEM with appropriate spatial resolution of 30m cell size, obtained by interpolation of elevation data, contour lines and elevation points,SRTM sensor data. After defining the MDE and derivation of attributes, a study was made for recognition of patterns and geomorphic characterization of pedoenvironment involving sample collection and description of profiles in predefined locations, through theprogram Hypercube Latin Conditioned Sampling (cLHS). The predominant soils were: Oxisols, Ultisols, Inceptisols, Aquents and other Entisols.The usage of GIS tools allowed the selection of variables to compose sets of discriminants used in the classification stage by ANN. Theselected variables were: altimetry, slope, curvature, combined topographic index, euclidean distance, clay minerals, iron oxide, NDVI and geology. There were trained eleven sets of ANN's, with different combinations as to the discriminating variables (input layer). Thecriteria used in evaluating the performance of the ANN were the rates of overall accuracy and Kappa, considering the generalization of outputclasses. Validation was performed using 120 control points corresponding to the soil profiles that were not used for ANN training. Afterthe analysis of the mean square error of the different sets, the architecture with 10 hidden nodes was chosen. The evaluation criteria ofclassification underlined the best networks performance of the sets 1, 7 and 10, corresponding to all variables, excluding the geology, andexcluding the index NDVI, which did not differ. The generalization and validation showed that the set 10 allowed the best final classification.},
File = {Pinheiro2012.pdf:Pinheiro2012.pdf:PDF},
Keywords = {soil; mapping;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Article{PinheiroEtAl2012,
Title = {Elevation models for obtaining terrain attributes used in digital soil mapping},
Author = {Pinheiro, H S K and Chagas, C S and Carvalho Júnior, W and Anjos, L H C},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {1384-1394},
Volume = {47},
Year = {2012},
Number = {9},
Doi = {10.1590/S0100-204X2012000900024},
File = {PinheiroEtAl2012.pdf:PinheiroEtAl2012.pdf:PDF},
Keywords = {DEM;}
}
@Article{PinheiroEtAl2004,
Title = {Condicionantes geológicos-geotécnicos de movimentos de massa na encosta da {Serra Geral - RS}},
Author = {Rinaldo J.B. Pinheiro and José M.D. Soares},
Journal = {Teoria e Prática na Engenharia Civil},
Pages = {59-68},
Volume = {4},
Year = {2004},
Number = {4},
Abstract = {Este artigo discute os principais aspectos geológicos e geomorfológicos que condicionam os fenômenos de instabilização de taludes observados nas encostas sul e leste da Serra Geral no estado do Rio Grande do Sul, Brasil. Os movimentos de massa mais freqüentes são, nas encostas mais elevadas, as quedas de blocos e os fluxos de detritos. Nas cotas inferiores predominam os movimentos de rastejo de colúvios e de tálus, além dos escorregamentos de solos. Alguns dos casos de instabilidade estudados apresentavam superfícies de ruptura com aspecto estriado e brilhante em camadas com elevada concentração de argilo-minerais, com evidência clara de mobilização da resistência ao cisalhamento residual.},
Owner = {pccli},
Timestamp = {2011.12.05},
Url = {http://www.editoradunas.com.br/revistatpec/Sumario_Numero4.htm}
}
@Mastersthesis{Pinto2005,
Title = {Estudo da condutividade hidráulica de solos para disposição de resíduos sólidos na região de {S}anta {M}aria},
Address = {Santa Maria},
Author = {Juliane Santos Pinto},
Pages = {154},
School = {Programa de Pós-Graduação em Engenharia Civil, Federal University of Santa Maria},
Year = {2005},
File = {:dissertação/Pinto_Dissertação_2005.pdf:PDF},
Keywords = {Condutividade hidráulica, solos, ensaios in situ e laboratório; dnos; geologia; geomorfologia;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {29.07.2009}
}
@Article{PintoEtAl1996,
Title = {Solos derivados de rochas ultrabásicas no ambiente subtropical do Rio Grande do Sul},
Author = {L F S Pinto and N Kämpf},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {447-458},
Volume = {20},
Year = {1996},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{PiroliEtAl2002,
Title = {Análise do uso da terra na microbacia do {A}rroio do {M}eio - {S}anta {M}aria - {RS}, por sistema de informações geográficas e imagem de satélite},
Author = {Edson Luís Piroli and Elsbeth Léia Spode Becker and Edson Luis Bolfe and Rudiney Soares Pereira},
Journal = {CIência Rural},
Pages = {407-413},
Volume = {32},
Year = {2002},
Abstract = {O objetivo desse trabalho foi verificar a viabilidade do uso de um Sistema de Informações Geográficas (SIG) e a imagem de satélite para a análise do uso atual da terra e localização de áreas onde possam estar ocorrendo conflitos entre capacidade e uso do solo, na microbacia hidrográfica do Arroio do Meio. Foram utilizadas técnicas de geoprocessamento, como álgebra entre mapas, consulta ao banco de dados e reclassificação de imagens. Uma microbacia foi escolhida como objeto deste estudo, por ser considerada por muitos autores como sendo uma das melhores unidades para o planejamento e desenvolvimento sócioeconômico dos habitantes do meio rural. Na microbacia estudada, foram encontrados 555ha cobertos com florestas, compreendendo 24% da área total. As lavouras com área de 1.314ha ocupam a maior parte da microbacia (56%). Os campos de pastagens cobrem 184ha, ou seja, 8% da área total. As áreas alagadas representam 11% da área da microbacia, tendo respectivamente 265ha. Foram detectados ainda, 31ha sombreados (1%) onde não se determinou com exatidão o uso da terra. Nas áreas com declividade superior a 47%, foram detectados 32ha sem cobertura de florestas, perfazendo 1,4% da área da microbacia. Em declives superiores a 30%, existem 71ha (3%) sendo usados para a agricultura. A área ocupada com Chernossolos e Neossolos Litólicos, unidade de mapeamento Ciríaco-Charrua em declividade maior que 30% sem cobertura florestal é de 14ha (0,6%). De acordo com a declividade e o solo, as áreas de conflito alcançam 5% da área total, o que demonstra que, na maior parte da microbacia, a terra está sendo usada de acordo com sua capacidade.},
File = {:Ciência Rural/Piroli et al_Cienc Rural_ 2002.pdf:PDF},
Keywords = {sistema de informações geográficas, imagem de satélite, uso da terra.},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.scielo.br/pdf/cr/v32n3/a07v32n3.pdf}
}
@Article{PizarroEtAl2002,
Title = {Multiple comparison procedures applied to model selection},
Author = {Joaqu N Pizarro and Elisa Guerrero and Pedro L Galindo},
Journal = {Neurocomputing},
Pages = {155-173},
Volume = {48},
Year = {2002},
Doi = {10.1016/S0925-2312(01)00653-1},
File = {PizarroEtAl2002.pdf:PizarroEtAl2002.pdf:PDF},
Url = {http://dx.doi.org/10.1016/S0925-2312(01)00653-1}
}
@Article{PlanchonEtAl2001,
Title = {A fast, simple and versatile algorithm to fill the depressions of digital elevation models},
Author = {Olivier Planchon and Frédéric Darboux},
Journal = {Catena},
Pages = {159 -176},
Volume = {46},
Year = {2001},
Number = {2-3},
Abstract = {The usual numerical methods for removing the depressions of a Digital Elevation Model (DEM) gradually fill the depressions and merge the embedded ones. These methods are complex to implement and need large computation time, particularly when the DEM contains a high proportion of random noise. A new method is presented here. It is innovative because, instead of gradually filling the depressions, it first inundates the surface with a thick layer of water and then removes the excess water. The algorithm is simple to understand and to implement, requiring only a few tens of code lines. It is much faster than usual algorithms. Moreover, this method is versatile: depressions can be replaced with a surface either strictly horizontal, or slightly sloping. The first option is used for the calculation of depression storage capacity and the second one for drainage network extraction. The method is fully detailed and a pseudo-code is provided. Its practical computation time, evaluated on generated fractal surfaces, is asymptotically proportional to N1.2 where N is the number of grid points. The theoretical computation time is asymptotically proportional to N1.5 in all cases, with the exception of some exotic ones with no practical interest. By contrast, existing methods have a computation time asymptotically proportional to N2. Applications are done for both generated and measured surfaces with 256 cells to 6.2 million cells.},
Doi = {DOI: 10.1016/S0341-8162(01)00164-3},
File = {PlanchonEtAl2001.pdf:Catena/PlanchonEtAl2001.pdf:PDF},
ISSN = {0341-8162},
Keywords = {Digital elevation model},
Url = {http://www.sciencedirect.com/science/article/pii/S0341816201001643}
}
@Article{PlanteEtAl2006,
Title = {Impact of soil texture on the distribution of soil organic matter in physical and chemical fractions},
Author = {Alain F. Plante and Richard T. Conant and Catherine E. Stewart and Keith Paustian and Johan Six},
Journal = {Soil Science Society of America Journal},
Pages = {287-296},
Volume = {70},
Year = {2006},
Abstract = {Previous research on the protection of soil organic C from decom-position suggests that soil texture affects soil C stocks. However, dif- ferent pools of soil organic matter (SOM) might be differently related to soil texture. Our objective was to examine how soil texture differ- entially alters the distribution of organic C within physically and chemi- cally defined pools of unprotected and protected SOM. We collected samples from two soil texture gradients where other variables influ- encing soil organic C content were held constant. One texture gradient (16?60% clay) was located near Stewart Valley, Saskatchewan, Canada and the other (25?50% clay) near Cygnet, OH. Soils were physically fractionated into coarse- and fine-particulate organic matter (POM), silt- and clay-sized particles within microaggregates, and easily dispersed silt- and clay-sized particles outside of microaggregates. Whole-soil organic C concentration was positively related to silt plus clay content at both sites. We found no relationship between soil texture and unprotected C (coarse- and fine-POM C). Biochemically protected C (nonhydrolyz- able C) increased with increasing clay content in whole-soil samples, but the proportion of nonhydrolyzable C within silt- and clay-sized fractions was unchanged. As the amount of silt or clay increased, the amount of C stabilized within easily dispersed and microaggregate- associated silt or clay fractions decreased. Our results suggest that for a given level of C inputs, the relationship between mineral surface area and soil organic matter varies with soil texture for physically and biochemically protected C fractions. Because soil texture acts directly and indirectly on various protection mechanisms, it may not be a uni- versal predictor of whole-soil C content.},
Doi = {10.2136/sssaj2004.0363},
File = {:Soil Science Society of America Journal/Plante et al_SSSAJ_2006.pdf:PDF},
Owner = {Alessandro},
Timestamp = {2011.01.03}
}
@Article{Platt1964,
Title = {Strong inference: certain systematic methods of scientific thinking may produce much more rapid progress than others.},
Author = {Platt, JR},
Journal = {Science},
Pages = {347-53},
Volume = {146},
Year = {1964},
Number = {5},
Doi = {10.1126/science.146.3642.347},
File = {Platt1964.pdf:Platt1964.pdf:PDF},
ISSN = {0036-8075}
}
@Article{PlazaEtAl2008,
Title = {Organic matter humification by vermicomposting of cattle manure alone and mixed with two-phase olive pomace},
Author = {C. Plaza and R. Nogales and N. Senesi and E. Benitez and A. Polo},
Journal = {Bioresource Technology},
Pages = {5085 - 5089},
Volume = {99},
Year = {2008},
Note = {Exploring Horizons in Biotechnology: A Global Venture},
Number = {11},
Abstract = {The chemical changes occurring in a cattle manure (CM) and a mixture of two-phase olive pomace and CM (OP + CM) after vermicomposting with Eisenia andrei for eight months were evaluated. Further, humic acid (HA)-like fractions were isolated from the two substrates before and after the vermicomposting process, and analyzed for elemental and acidic functional group composition, and by ultraviolet/visible, Fourier transform infrared and fluorescence spectroscopies. Before vermicomposting, the HA-like fractions featured a prevalent aliphatic character, large C contents, small O and acidic functional group contents, a marked presence of proteinaceous materials and polysaccharide-like structures, extended molecular heterogeneity and small degrees of aromatic ring polycondensation, polymerisation and humification. After vermicomposting, the total extractable C and HA-C contents in the bulk substrates increased, and the C and H contents, aliphatic structures, polypeptidic components and carbohydrates decreased in the HA-like fractions, whereas O and acidic functional group contents increased. Further, an adequate degree of maturity and stability was achieved after vermincomposting, and the HA-like fractions, especially that from OP + CM, approached the characteristics typical of native soil HA. Vermicomposting was thus able to promote organic matter humification in both CM alone and in the mixture OP + CM, thus enhancing the quality of these materials as soil organic amendments.},
Doi = {DOI: 10.1016/j.biortech.2007.09.079},
File = {PlazaEtAl2008.pdf:Bioresource Technology/PlazaEtAl2008.pdf:PDF},
ISSN = {0960-8524},
Keywords = {Cattle manure},
Url = {http://www.sciencedirect.com/science/article/B6V24-4R2XCK3-2/2/11aee914aea804273636da091355854e}
}
@Mastersthesis{Poelking2007,
Title = {Land suitability, evolution and land use conflicts in {I}taara {C}ounty, {RS}},
Address = {Santa Maria},
Author = {Everton Luís Poelking},
Pages = {67},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2007},
File = {:dissertação/Poelking_Dissertação_2007.pdf:PDF},
Keywords = {soil survey; geographic information system; land suitability; dnos; santa maria;},
Owner = {Administrador},
Timestamp = {2011.01.19},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Book{Popper1959,
Title = {The logic of scientific discovery},
Author = {Popper, K. R.},
Publisher = {London: Hutchinso},
Year = {1959},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.15}
}
@Article{PortugalEtAl2008,
Title = {Atributos químicos e físicos de um Cambissolo Háplico Tb Distrófico sob diferentes usos na Zona da Mata Mineira},
Author = {Arley Figueiredo Portugal and Oldair Del?arco Vinhas Costa and Liovando Marciano Da Costa and Bruno Costa Moreira Dos Santos},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {249-258},
Volume = {32},
Year = {2008},
Abstract = {O conhecimento de atributos químicos e físicos de solos nos mares de morros pode fornecer importantes subsídios ao planejamento sustentável dos seus recursos naturais. Nesse sentido, realizou-se a caracterização química e física de um Cambissolo Háplico Tb distrófico sob diferentes usos, no município de Visconde do Rio Branco, na Zona da Mata mineira. Foram avaliadas áreas com seringueira, laranja, cana, pastagem e mata. Seringueira, laranja e pastagem estão instaladas há 15 anos, e a cana, há 1,5 ano, sendo antes pastagem. Todos os usos agrícolas tiveram histórico com cana por aproximadamente 100 anos. A amostragem foi realizada em trincheiras, com três repetições, nas profundidades de 0 a 20 e 20 a 40 cm. Foram analisados as seguintes propriedades químicas: matéria orgânica do solo (MOS), pH em H 2 O, P, Ca 2+ , Mg 2+ , K + , Al 3+ , H + Al, SB, CTC efetiva (t), CTC a pH 7,0 (T), V, m e P-rem. As propriedades físicas analisadas foram: granulometria, densidade de partículas, densidade do solo, porosidade total, curva de retenção de água, resistência do solo à penetração e estabilidade de agregados em água, bem como as relações capacidade de água disponível/porosidade total (CAD/PT) e água retida na capacidade de campo/porosidade total (CC/PT). Os resultados demonstraram que o solo, em todos os usos, apresenta baixa fertilidade e caráter distrófico, com Al 3+ dominando o complexo de troca, com exceção do solo sob cana, que apresenta fertilidade média e teores negligenciáveis de Al 3+ trocável no complexo de troca. O uso agrícola do solo reduziu a MOS. As características físicas nos usos com seringueira e cana assemelharam-se às da mata, ao passo que laranja e pastagem mostraram degradação física, evidenciada pelos maiores valores de densidade e resistência do solo à penetração, e redução do espaço poroso e da estabilidade de agregados em água.},
Keywords = {mar de morros, manejo do solo, química e física do solo},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/scielo.php?pid=S0100-06832008000100024&script=sci_abstract&tlng=pt}
}
@Article{PossamaiEtAl2007,
Title = {Lixões inativos na região carbonífera de Santa Catarina: análise dos riscos à saúde pública e ao meio ambiente},
Author = {Fernando Pagani Possamai and Ednilson Viana and Harry Edmar Schulz and Marcel Madeira Costa and Everson Casagrande},
Journal = {Ciência e Saúde Coletiva},
Pages = {171-179},
Volume = {12},
Year = {2007},
File = {:Ciência e Saúde Coletiva/Possamai et al_Cien Saude Coletiva_2007.pdf:PDF},
Keywords = {Resíduos sólidos, Lixões inativos, Legislação ambiental, Remediação},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.08.2009},
Url = {http://www.scielo.br/scielo.php?pid=S1413-81232007000100020&script=sci_abstract&tlng=pt}
}
@Article{PostEtAl1982,
Title = {Soil carbon pools and world life zones},
Author = {Post, Wilfred M. and Emanuel, William R. and Zinke, Paul J. and Stangenberger, Alan G.},
Journal = {Nature},
Pages = {156–159},
Volume = {298},
Year = {1982},
Month = {Jul},
Number = {5870},
Doi = {10.1038/298156a0},
ISSN = {0028-0836},
Owner = {alessandro},
Publisher = {Nature Publishing Group},
Url = {http://dx.doi.org/10.1038/298156a0}
}
@Article{Potere2008,
Title = {Horizontal positional accuracy of {Google Earth’s} high-resolution imagery archive},
Author = {Potere, David},
Journal = {Sensors},
Pages = {7973-7981},
Volume = {8},
Year = {2008},
Number = {12},
Doi = {10.3390/s8127973},
File = {Potere2008.pdf:Potere2008.pdf:PDF},
ISSN = {1424-8220},
Url = {http://www.mdpi.com/1424-8220/8/12/7973}
}
@Article{PotesEtAl2010,
Title = {Soil organic matter in highland Leptosols: influence of pasture management on composition and content},
Author = {Mariana Luz Potes and Deborah Pinheiro Dick and Ricardo S.D. Dalmolin and Heike Knicker and Alessandro Samuel-Rosa},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {23-32},
Volume = {34},
Year = {2010},
Abstract = {Burning pastures after the winter is a traditional practice in highland soils, whose main purpose is the regrowth of vegetation. However, the impact of fire, as well as the influence of grazing on the organic matter of Leptosols is still unknown. The purpose of this study was to investigate the composition and content of organic matter in soil profiles from São José dos Ausentes, state of Rio Grande do Sul, and to relate the results with the occurrence of burning and grazing, in comparison with a soil under native forest. The following environments were studied: grazed native pasture (2 animals ha -1 ) without burning for 22 years; grazed native pasture (0.5 animals ha -1 ) burned every two years; and native forest adjacent to the pasture area. Composed soil samples were collected from four layers (0?5, 5?10, 10?15 and 15? 30 cm) in which contents of C, of N, and of iron oxides (Fe d and Fe o ) were determined and infrared spectroscopy and thermogravimetry analyses performed. The subsurface layers of the fire-affected environment contained greater organic matter contents, and in general, a composition with higher proportion of chemically labile structures, in comparison with the unburned pasture. In the latter environment, the lower C content than in the burned pasture was ascribed to more intensive grazing. The C distribution in the native forest environment was similar to that of the unburned pasture. Nevertheless, in the samples under forest, the proportion of organic matter of low molecular weight, extractable with 0.1 mol L -1 HCl and related mainly to microbial activity, exceeded that of the pasture environment.},
Keywords = {burning, chemical lability, iron oxides},
Owner = {Administrador},
Timestamp = {2011.01.20},
Url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832010000100003}
}
@Article{PoetterEtAl1981,
Title = {Argilo-minerais e óxidos de ferro em Cambissolos e Latossolos sob regime climático térmico údico no Rio Grande do Sul},
Author = {R O Pötter and N Kämpf},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {153-159},
Volume = {5},
Year = {1981},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVY2YyNzNhNWUtMTI1Yy00NzA2LThhNmEtNjNjNDMwOTFjZWM2&hl=en&authkey=COr7oK8G}
}
@Manual{PottsEtAl2006,
Title = {OSSIM users guide},
Author = {Garrett Potts and Mark Lucas},
Pages = {107},
Year = {2006},
File = {PottsEtAl2006.pdf:PottsEtAl2006.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.11},
Url = {http://download.osgeo.org/ossim/docs/pdfs/ossim_users_guide.pdf}
}
@Article{PouillotEtAl2010,
Title = {Evaluating variability and uncertainty separately in microbial quantitative risk assessment using two R packages},
Author = {Régis Pouillot and Marie Laure Delignette-Muller},
Journal = {International Journal of Food Microbiology},
Pages = {330 - 340},
Volume = {142},
Year = {2010},
Number = {3},
Abstract = {Quantitative risk assessment has emerged as a valuable tool to enhance the scientific basis of regulatory decisions in the food safety domain. This article introduces the use of two new computing resources (R packages) specifically developed to help risk assessors in their projects. The first package, #fitdistrplus#, gathers tools for choosing and fitting a parametric univariate distribution to a given dataset. The data may be continuous or discrete. Continuous data may be right-, left- or interval-censored as is frequently obtained with analytical methods, with the possibility of various censoring thresholds within the dataset. Bootstrap procedures then allow the assessor to evaluate and model the uncertainty around the parameters and to transfer this information into a quantitative risk assessment model. The second package, #mc2d#, helps to build and study two dimensional (or second-order) Monte-Carlo simulations in which the estimation of variability and uncertainty in the risk estimates is separated. This package easily allows the transfer of separated variability and uncertainty along a chain of conditional mathematical and probabilistic models. The usefulness of these packages is illustrated through a risk assessment of hemolytic and uremic syndrome in children linked to the presence of Escherichia coli O157:H7 in ground beef. These R packages are freely available at the Comprehensive R Archive Network (cran.r-project.org).},
Doi = {DOI: 10.1016/j.ijfoodmicro.2010.07.011},
ISSN = {0168-1605},
Keywords = {Freeware tools},
Url = {http://www.sciencedirect.com/science/article/B6T7K-50J4M6G-4/2/e1fc75aaa240e32f13a50cba39af24c9}
}
@Article{PouyatEtAl2002,
Title = {Soil carbon pools and fluxes in urban ecosystems},
Author = {R. Pouyat and P. Groffman and I. Yesilonis and L. Hernandez},
Journal = {Environmental Pollution},
Pages = {S107-S118},
Volume = {116},
Year = {2002},
Abstract = {The transformation of landscapes from non-urban to urban land use has the potential to greatly modify soil carbon (C) pools and ?uxes. For urban ecosystems, very little data exists to assess whether urbanization leads to an increase or decrease in soil C pools. We analyzed three data sets to assess the potential for urbanization to a?ect soil organic C. These included surface (0?10 cm) soil C data from unmanaged forests along an urban?rural gradient, data from ??made?? soils (1 m depth) from ?ve di?erent cities, and surface (0?15 cm) soil data of several land-use types in the city of Baltimore. Along the urban?rural land-use gradient, we found that soil organic matter concentration in the surface 10 cm varied signi?cantly (P=0.001). In an analysis of variance, the urban forest stands had signi?cantly (P=0.02) higher organic C densities (kg m 2 to 1 m depth) than the suburban and rural stands. Our analysis of pedon data from ?ve cities showed that the highest soil organic C densities occurred in loamy ?ll (28.5 kg m 2 ) with the lowest occurring in clean ?ll and old dredge materials (1.4 and 6.9 kg m 2 , respectively). Soil organic C densities for residential areas (15.5 1.2 kg m 2 ) were consistent across cities. A comparison of land-use types showed that low density residential and institutional land-uses had 44 and 38% higher organic C densities than the commercial land-use type, respectively. Our analysis shows that as adjacent land-use becomes more urbanized, forest soil C pools can be a?ected even in stands not directly disturbed by urban land development. Data from several ??made?? soils suggests that physical disturbances and inputs of various materials by humans can greatly alter the amount C stored in these soils.},
File = {:Environmental Pollution/Pouyat et al_Environ Pollut_2002.pdf:PDF},
Keywords = {Soil organic carbon; Anthropogenic soils; Urban soils; Human modi?ed soils; Baltimore Ecosystem Study},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0269749101002639}
}
@Article{Powell1996,
Title = {The evaluation of waste management options},
Author = {Jane C. Powell},
Journal = {Waste Management and Research},
Pages = {515-526},
Volume = {14},
Year = {1996},
Keywords = {Waste management, municipal solid waste, incineration, RDF, landfill, recycling, multicriteria evaluation, U.K.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://wmr.sagepub.com/content/14/6/515.short}
}
@Book{PowersEtAl1999,
Title = {Statistical methods for categorical data analyis},
Author = {D.A. Powers and Y. Xie},
Pages = {295},
Publisher = {Academic Press},
Year = {1999},
Edition = {1},
File = {PowersEtAl1999.pdf:Book/PowersEtAl1999.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{PradoEtAl2007,
Title = {Characterization, functioning and classification of two volcanic soil profiles under different land uses in Central Mexico},
Author = {B. Prado and C. Duwig and C. Hidalgo and D. Gómez and H. Yee and C. Prat and M. Esteves and J.D. Etchevers},
Journal = {Geoderma},
Pages = {300-313},
Volume = {139},
Year = {2007},
Abstract = {Volcanic soils constitute an important resource for agriculture and forestry in Central Mexico, as well as in various world regions. They exhibit unique properties and high productive potential related to the amorphous materials they contain. The relationship between amorphous materials, soil characteristic and functioning, has not been well studied. The objectives of the present work were to assess the influence of land use (agricultural and forest), topography and other soil forming factors on physical, chemical and mineralogical characteristics and pedological processes responsible for soil genesis and soil classification of two volcanic soil profiles derived from andesitic parent material located 150 m away from each other within the same toposequences. The toposequence is located in the Trans-Mexican Volcanic Belt (TMVB), a highly populated region of Central Mexico that provides part of the water for Mexico City megapolis. A series of field and laboratory techniques including physical, chemical, micromorphological, X-ray diffraction (XRD), transmission electron microscopy (TEM), infra-red analysis, Mössbauer spectroscopy were used. The main factor affecting the present morphology of the soil profiles was the topography. The mineralogical features of the upper layers of the maize profile (Pachic Andosol), indicate redistribution of soil material from the upper part of the toposequence. The land use change favored this redistribution. Deeper horizons of this profile were developed from volcanic ashes deposited in situ. hematite and ferrihydrite, considered markers of evolution in redistributed soil material were observed in this profile associated with allophane. The presence of hematite has been reported for the first time in Mexican Andosols. The present characteristics of the forest profile (Dystric Cambisol) are mainly due to the pedological process of the volcanic ash layers remaining in situ after the redistribution and volcanic breccia. It was concluded that the forest profile evolved from an Andosol to an Inceptisol, which was evidenced by desaturation, loss of silica and organic carbon. In this profile the Fe minerals were associated with the presence of gibbsite and halloysite. The position in the toposequence and the physical and chemical characteristics of these profiles define their present functioning, such as losses by erosion and C dynamics.},
Doi = {10.1016/j.geoderma.2007.02.008},
File = {:Geoderma/Prado et al_Geoderma_2007.pdf:PDF},
Keywords = {Andosol; Cambisol; Land use; Allophanic soil; Gibbsitic soil; Trans-Mexican Volcanic Belt},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Prado2006,
Title = {{J. S. Mill: lógica, linguagem e empirismo}},
Author = {Lúcio Lourenço Prado},
Journal = {Revista Eletrônica Informação e Cognição},
Pages = {4-19},
Volume = {5},
Year = {2006},
Number = {2},
Abstract = {This paper presents J. S. Mill’s concept of logic and the relation between this concept and the radical empiricism professed in the ‘System of logic’. I defend the hypothesis that an important move responsible for linguistic turn – the displacement of epistemology for semantics as main philosophical discipline – already occur in Mill’s great logical work.},
File = {Prado2006.pdf:Prado2006.pdf:PDF},
Keywords = {philosophy; paradigm;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.15},
Url = {http://www2.marilia.unesp.br/revistas/index.php/reic/article/view/736}
}
@Article{Prado.FilhoEtAl2007,
Title = {Desempenho operacional e ambiental de unidades de reciclagem e disposição final de resíduos sólidos domésticos financiados pelo ICMS ecológico de Minas Gerais},
Author = {J.F. Prado.Filho and F.G. Sobreira},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {52-61},
Volume = {12},
Year = {2007},
File = {:Engenharia Sanitária e Ambiental/Prado Filho & Sobreira_Eng Sanit Ambient_2007.pdf:PDF},
Keywords = {Resíduos sólidos, usinas de reciclagem de resíduos, aterros sanitários, Índice de Qualidade de Aterros - IQR, Índice de Qualidade de Unidades de Compostagem - IQC.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {24.07.2009},
Url = {http://www.scielo.br/pdf/esa/v12n1/a07v12n1.pdf}
}
@Book{Pratchett2010,
Title = {Unseen academicals},
Address = {London},
Author = {Terry Pratchett},
Pages = {540},
Publisher = {Transworld Publishers},
Year = {2010},
Owner = {alessandro},
Timestamp = {2013.05.17}
}
@Article{Pregibon1980,
Title = {Goodness of Link Tests for Generalized Linear Models},
Author = {Pregibon, Daryl},
Journal = {Journal of the Royal Statistical Society. Series C (Applied Statistics)},
Pages = {pp. 15-24},
Volume = {29},
Year = {1980},
Number = {1},
Abstract = {Data analytic procedures are proposed to examine the adequacy of the hypothesized link used in fitting a generalized linear model. Through model expansion and linearization, tests and estimation techniques are provided. These procedures, along with the release of GLIM3, enable the user to examine routinely and objectively the fit of an hypothesized model. Examples are presented to illustrate the testing and fitting procedure.},
Copyright = {Copyright © 1980 Royal Statistical Society},
ISSN = {00359254},
Jstor_articletype = {research-article},
Jstor_formatteddate = {1980},
Language = {English},
Publisher = {Blackwell Publishing for the Royal Statistical Society},
Url = {http://www.jstor.org/stable/2346405}
}
@Book{PressEtAl1992,
Title = {Numerical recipes in {F}ortran 77 - the art of scientific computing},
Address = {Cambridge},
Author = {Press, W H and Flannery, B P and Teukolsky, S A and Vetterling, W T},
Pages = {973},
Publisher = {Press Syndicate of the University of Cambridge},
Year = {1992},
Edition = {2},
Volume = {1},
File = {PressEtAl1992.pdf:PressEtAl1992.pdf:PDF},
Keywords = {Simulated; Annealing;}
}
@Article{Pribyl2010,
Title = {A critical review of the conventional {SOC} to {SOM} conversion factor},
Author = {Douglas W. Pribyl},
Journal = {Geoderma},
Pages = {75-83},
Volume = {156},
Year = {2010},
Number = {3?4},
Abstract = {Use of a single factor for converting soil organic carbon to soil organic matter is challenged. The basis for this challenge arises from four sources: the original papers published in the nineteenth century, empirical studies published throughout the twentieth century, theoretical considerations of organic matter composition, and a consideration of what led to the popularity and general acceptance of the conventional factor. The conventional factor of 1.724, based on the assumption that soil organic matter contains 58% carbon, applies only to some soils or only to particular components of soil organic matter. Studies published since the end of the nineteenth century have consistently shown that the factor of 1.724 is too low for most soils. In a review of previously published data, the median value for the conversion factor was found to be 1.9 from empirical studies and 2 from more theoretical considerations. A factor of 2, based on the assumption that organic matter is 50% carbon, would in almost all cases be more accurate than the conventional factor of 1.724. A consideration of the possible variation in organic matter composition predicts a range of factor values between 1.4 and 2.5, a range that is narrower than empirical results at least in part because of the interaction between the methods used to estimate organic matter and soil composition. Convenience, authority, and tradition rather than strength of evidence are in large part responsible for the widespread acceptance of the conventional factor.},
Doi = {10.1016/j.geoderma.2010.02.003},
File = {Pribyl2010.pdf:Geoderma/Pribyl2010.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Van Bemmelen factor, comparação de métodos}
}
@Article{PriceEtAl2009,
Title = {Estimating the spatial scale of herbicide and soil interactions by nested sampling, hierarchical analysis of variance and residual maximum likelihood},
Author = {Price, Oliver R. and Oliver, Margaret A. and Walker, Allan and Wood, Martin},
Journal = {Environmental Pollution},
Pages = {1689–1696},
Volume = {157},
Year = {2009},
Month = {May},
Number = {5},
Doi = {10.1016/j.envpol.2008.12.005},
File = {PriceEtAl2009.pdf:PriceEtAl2009.pdf:PDF},
ISSN = {0269-7491},
Keywords = {Nested; Sampling; Design;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{ProosEtAl2001,
Title = {Multicriterion evolutionary structural optimization using the weighting and the global criterion methods},
Author = {Proos, K. A. and Steven, G. P. and Querin, O. M. and Xie, Y. M.},
Journal = {AIAA Journal},
Pages = {2006-2012},
Volume = {39},
Year = {2001},
Month = {Oct},
Number = {10},
Doi = {10.2514/2.1193},
File = {ProosEtAl2001.pdf:ProosEtAl2001.pdf:PDF},
ISSN = {1533-385X},
Keywords = {Multi-objective; Optimization; MOOP; Pareto;},
Owner = {alessandro},
Publisher = {American Institute of Aeronautics and Astronautics (AIAA)},
Timestamp = {06.02.2015}
}
@Article{PulidoEtAl2003,
Title = {The traditional farming system of a Mexican indigenous community: the case of Nuevo San Juan Parangaricutiro, Michoaca?n, Mexico},
Author = {Juan S. Pulido and Gerardo Bocco},
Journal = {Geoderma},
Pages = {249?265},
Volume = {111},
Year = {2003},
Abstract = {The objective of this paper is twofold: first, to describe the dynamics of the traditional farming system (TFS) of a rural indigenous community in Central Mexico and second, to detect the contribution of local knowledge to potential indicators of sustainable development. The method included the following steps: (a) field description of the TFS; (b) survey of local knowledge on both landscape and land qualities; (c) soil and maize grain yield sampling; and (d) statistical analyses relating local knowledge to field and laboratory data. A participatory approach was used; every field technique was carried out together with local producers. Statistical analyses of both field and laboratory data proved the consistency of peasant-defined land quality classes. Land quality was related to the distribution of available P, slope position and depth of recent volcanic ash cover. In addition, we detected a well-structured relief and soil quality knowledge-base. The TFS is a highly complex integrated scheme serving as a conceptual basis for decisionmaking procedures. The TFS does not attempt to maximize profit in cash. Its goal is self-sufficiency. These principles are at the core of decision-making procedures. The system represents a substantial part of the culture of Nuevo San Juan traditional producers. Family participation in the TFS is a key element; self-sufficiency gives security to the family. This explains the survival of the TFS despite its drawbacks, basically of a social nature rather than a technical nature.},
File = {:Geoderma/Pulido & Bocco_Geoderma_2003.pdf:PDF},
Keywords = {Traditional farming systems; Traditional knowledge; Sustainability; Land evaluation; Landscape; Maize; Mexico},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002677}
}
@Misc{Purdue.University20xx,
Title = {Measurement analysis 1: measurement uncertainty and propagation},
Author = {Purdue.University},
Year = {20xx},
File = {Purdue.University20__a.pdf:miscelaneous/Purdue.University20__a.pdf:PDF},
Keywords = {redemds; laboratory; error; uncertainty;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.16}
}
@Misc{Purdue.University20xxa,
Title = {Measurement analysis 2: probabilistic uncertainty, least squares fitting, and graphical analysis},
Author = {Purdue.University},
Year = {20xx},
File = {Purdue.University20__b.pdf:miscelaneous/Purdue.University20__b.pdf:PDF},
Keywords = {redemds; laboratory; error; uncertainty;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.16}
}
@Manual{QGIS2013,
Title = {Quantum GIS Geographic Information System},
Author = {Quantum GIS Development Team,},
Year = {2013},
Note = {Version 2.0.1-Dufour},
Organization = {Open Source Geospatial Foundation},
Keywords = {redemds; georeferencer;},
Url = {http://qgis.osgeo.org}
}
@Article{QueneaEtAl2006,
Title = {Influence of change in land use on the refractory organic macromolecular fraction of a sandy spodosol (Landes de Gascogne, France)},
Author = {K. Quénéa and S. Derenne and C. Largeau and C. Rumpel and A. Mariotti},
Journal = {Geoderma},
Pages = {136-151},
Volume = {136},
Year = {2006},
Abstract = {The refractory (insoluble and resistant to drastic laboratory hydrolyses) organic macromolecular material (ROM), isolated from a sandy spodosol from Cestas (Landes de Gascogne, France), was examined via a combination of isotopic (? 13 C measurements), spectroscopic (FTIR and solid-state 13 C NMR) and pyrolytic (conventional pyrolysis and thermally assisted hydrolysis and methylation) methods. This soil was collected from a plot cleared 22years ago and since then continuously used for intensive maize cropping. The ROM of this cultivated soil was also compared to the ROM from the reference forest soil. It thus appeared that (i) the carbon of the ROM accounts for a substantial part (20%) of the total organic carbon of the cropped soil, (ii) the ROM shows a heterogeneous composition with contributions of altered lignin, polysaccharides, suberans, bacterial and higher plant fatty acids incorporated in the macromolecular structure, melanoidin-type components and suberin, (iii) extensive degradation of the ROM inherited from the forest soil (ca. two thirds) occurred upon cropping, a conspicuous uncoupling is thus observed between the resistance of this material to drastic laboratory hydrolyses (i.e. refractoriness) and its resistance to degradation under natural conditions, (iv) a low input of maize components took place in the ROM of the cropped soil so that, in spite of such a large degradation of the refractory carbon inherited from the forest soil, the latter is still predominant (ca. 85%) in this ROM, (v) differential degradation took place, upon cropping, in the ROM inherited from the forest soil: some components were eliminated (condensed alkyl lipids of higher plants, cellulosic units) or heavily degraded (other polysaccharides), a part of the lignin was retained but underwent side-chain oxidation, while increase in relative abundance was observed for suberin, melanoidins and suberans.},
Doi = {10.1016/j.geoderma.2006.03.018},
File = {:Geoderma/Quénéa et al_Geoderma_2006.pdf:PDF},
Keywords = {Soil organic matter; Refractory fraction; Land use; FTIR; 13 C NMR; Pyrolysis},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{QuideauEtAl2000,
Title = {Soil organic matter processes : characterization by 13C NMR and 14C measurements},
Author = {Quideau, S. A. and Anderson, M. A. and Graham, R. C. and Chadwick, O. A. and Trumbore, S. E.},
Journal = {Forest Ecology and Management},
Pages = {19-27},
Volume = {138},
Year = {2000},
Abstract = {Soil organic matter (SOM) is a central contributor to soil quality as it mediates many of the chemical, physical, and biological processes controlling the capacity of a soil to perform successfully. SOM properties (e.g. C/N ratio, macro-organic matter) have been proposed as diagnostic criteria of overall soil fitness, but their use is hampered by a poor understanding of the basic biochemical principles underlying SOM processes. The objective of this project was to determine the influence of scrub oak (Quercus dumosa Nutt.) and Coulter pine (Pinus coulteri B. Don) vegetation on decomposition and SOM formation processes in a lysimeter installation constructed in 1936 in the San Gabriel mountains of southern California. Soil samples archived during construction of the installation, and A horizons sampled in 1987, were fractionated according to density and mineral particle size to isolate the water floatable (macro-organic matter), fine silt and clay fractions. Carbon turnover rates were determined on all fractions from AMS 14C measurements. Solid state CPMAS TOSS 13C NMR was used to semiquantitatively characterize the chemical structure of organic matter on fresh litter and soil fractions. For the two soils, there was a progressive decrease in O-alkyl C, and an increase in alkyl and carbonyl C from the litter to the floatable, fine silt and clay fractions. These compositional differences were due to the oxidative degradation of the litter material, with preferential decomposition of the cellulose and hemicellulose entities and selective preservation of recalcitrant waxes and resins. In all soil fractions, turnover rates of carbon were longer for the pine than for the oak lysimeter (up to 10 times longer). Also under pine, there was a gradual increase in turnover rate progressing from the floatable to the clay fraction, and differences in turnover rates among fractions may be explained based on differences in carbon chemistry. In contrast, under oak, rapid carbon turnover for all fractions suggested intense biological activity in this soil.},
File = {:Forest Ecology and Management/Quideau et al_Forest Ecol Manage_2000.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0378112700004096}
}
@Article{QuinnEtAl1991,
Title = {The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models},
Author = {Quinn, P. and Beven, K. and Chevallier, P. and Planchon, O.},
Journal = {Hydrological Processes},
Pages = {59-79},
Volume = {5},
Year = {1991},
Number = {1},
Abstract = {The accuracy of the predictions of distributed hydrological models must depend in part on the proper specification of flow pathways. This paper examines some of the problems of deriving flow pathways from raster digital terrain data in the context of hydrological predictions using TOPMODEL. Distributed moisture status is predicted in TOPMODEL on the basis of spatial indices that depend on flow path definition. The sensitivity of this index to flow path algorithm and grid size is examined for the case where the surface topography is a good indicator of local hydraulic gradients. A strategy for the case where downslope subsurface flow pathways may deviate from those indicated by the surface topography is described with an example application.},
Doi = {10.1002/hyp.3360050106},
ISSN = {1099-1085},
Keywords = {Digital terrain data, Flow pathways, Distributed hydrological models},
Publisher = {John Wiley and Sons, Ltd},
Url = {http://dx.doi.org/10.1002/hyp.3360050106}
}
@Manual{2014,
Title = {R Internals},
Author = {R Core Team,},
Edition = {3.0.3},
Pages = {59},
Year = {2014},
HowPublished = {Online},
Keywords = {R;},
Owner = {Alessandro},
Timestamp = {2011.01.27},
Url = {http://cran.r-project.org/doc/manuals/r-release/R-ints.pdf}
}
@Manual{R2014a,
Title = {Writing R Extensions},
Author = {R Core Team,},
Edition = {3.0.3},
Pages = {158},
Year = {2014},
HowPublished = {Online},
Keywords = {R;},
Owner = {Alessandro},
Timestamp = {2011.01.27},
Url = {http://cran.r-project.org/}
}
@Manual{RDEVELOPMENTCORETEAM2014,
Title = {An Introduction to R},
Author = {R Core Team,},
Edition = {3.0.3},
Pages = {105},
Year = {2014},
HowPublished = {Online},
Owner = {Alessandro},
Timestamp = {2011.01.27},
Url = {http://cran.r-project.org/doc/manuals/r-release/R-intro.pdf}
}
@Manual{R2013,
Title = {R: A language and environment for statistical computing},
Address = {Vienna},
Author = {{R Core Team}},
Publisher = {R Foundation for Statistical Computing},
Year = {2013},
Keywords = {r project},
Url = {http://www.R-project.org/}
}
@Manual{R2010,
Title = {R Data Import/Export},
Author = {{R DEVELOPMENT CORE TEAM}},
Edition = {2.11.0},
Pages = {34},
Year = {2010},
HowPublished = {Online},
Owner = {Alessandro},
Timestamp = {2011.01.27},
Url = {http://cran.r-project.org/doc/manuals/R-data.pdf}
}
@Manual{R2010d,
Title = {R Language Definition},
Author = {{R DEVELOPMENT CORE TEAM}},
Edition = {2.11.0},
Pages = {60},
Year = {2010},
HowPublished = {Online},
Owner = {Alessandro},
Timestamp = {2011.01.27}
}
@Article{RafterEtAl2002,
Title = {Multiple comparison methods for means},
Author = {John A. Rafter and Martha L. Abell and James P. Braselton},
Journal = {Society for Industrial and Applied Mathematics Review},
Pages = {259-278},
Volume = {44},
Year = {2002},
Number = {2},
Abstract = {Multiple comparison methods (MCMs) are used to investigate di?erences between pairs of population means or, more generally, between subsets of population means using sample data. Although several such methods are commonly available in statistical software packages, users may be poorly informed about the appropriate method(s) to use and/or the correct way to interpret the results. This paper classi?es the MCMs and presents the mportant methods for each class. Both simulated and real data are used to compare methods, and emphasis is placed on correct application and interpretation. We include suggestions for choosing the best method. Mathematica programs developed by the authors are used to compare MCMs. By taking advantage of Mathematica?s notebook structure, an interested student can use these programs to explore the subject more deeply. The programs and examples used in the article are available at http://www.cs.gasou.edu/faculty/rafter/MCMM/.},
File = {RafterEtAl2002.pdf:RafterEtAl2002.pdf:PDF},
Keywords = {multiple comparison procedures, familywise error rate, single-step procedures, step-down procedures},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.15},
Url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.132.2976&rep=rep1&type=pdf}
}
@Techreport{RafteryEtAl1993,
Title = {Model selection and accounting for model uncertainty in linear regression models},
Address = {Seattle},
Author = {Adrian Raftery and David Madigan and Jennifer Hoetin},
Pages = {31},
Year = {1993},
File = {RafteryEtAl1993.pdf:techreport/RafteryEtAl1993.pdf:PDF},
Institution = {University of Washington},
Keywords = {redemds, monte carlo, markov chain},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.18},
Url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.45.6883&rep=rep1&type=ps}
}
@Article{RaheemEtAl2011,
Title = {Positive-shrinkage and pretest estimation in multiple regression: a {Monte} {Carlo} study with applications},
Author = {SM Enayetur Raheem and S. Ejaz Ahmed},
Journal = {Journal of the Iranian Statistical Society},
Pages = {267-289},
Volume = {10},
Year = {2011},
Number = {2},
Abstract = {Consider a problem of predicting a response variable using a set of covariates in a linear regression model. If it is a priori known or suspected that a subset of the covariates do not significantly contribute to the overall fit of the model, a restricted model that excludes these covariates, may be sufficient. If, on the other hand, the subset provides useful information, shrinkage method combines restricted and unrestricted estimators to obtain the parameter estimates. Such an estimator outperforms the classical maximum likelihood estimators. Any prior information may be validated through preliminary test (or pretest), and depending on the validity, may be incorporated in the model as a parametric restriction. Thus, pretest estimator chooses between the restricted and unrestricted estimators depending on the outcome of the preliminary test. Examples using three real life data sets are provided to illustrate the application of shrinkage and pretest estimation. Performance of positive-shrinkage and pretest estimators are compared with unrestricted estimator under varying degree of uncertainty of the prior information. Monte Carlo study reconfirms the asymptotic properties of the estimators available in the literature.},
File = {RaheemEtAl2011.pdf:RaheemEtAl2011.pdf:PDF},
Keywords = {Data analysis, James-Stein estimation, lasso, Monte Carlo simulation, multiple regression, pretest estimation, quadratic risk, RMSE, shrinkage estimation; redemds; cross-validation},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.08},
Url = {http://goo.gl/kvm99}
}
@Mastersthesis{Rahimy2011,
Title = {Effects of soil depth and saturated hydraulic conductivity spatial variation on runoff simulation by the Limburg Soil Erosion Model (LISEM), a case study in Faucon catchment, France},
Address = {Enschede},
Author = {Pooyan Rahimy},
Pages = {91},
School = {Faculty of Geo-Information Science and Earth Observation, University of Twente},
Year = {2011},
Abstract = {Soil depth (thickness) and saturated hydraulic conductivity (Ks) are important parameters for models of surface runoff. Distributed models require not only accurate estimates but also their spatial distribution. The objective of this study was to use terrain and environmental variables to map these parameters, comparing different spatial prediction methods by their effect on simulated runoff hydrographs. The study area is called Faucon, located in south east of the French Alps. From amongst variables of “land cover class”, “lithologic units”, “elevation”, “LS factor”, “slope”, “aspect”, “wetness index”, “Overland flow distance to channel network”, “plan- profile curvature” and “convergence”, the “land cover class” was the best explanatory variable for soil thickness. None of the variables were good predictors for Ks. Also, An additive linear model of “land cover class” and “overland flow distance to channel network” best predicted soil thickness. Regression Kriging (RK) using this model and local spatial correlation of the residuals gave better accuracy than Ordinary Kriging (OK). These methods failed for Ks, so it was mapped by Thiessen polygons. The parameter maps, including conditional simulations of soil thickness, were exported to the hydrologic model of LISEM, where three synthetic rainfall scenarios were used. The hydrographs produced by RK and OK were significantly different at rainfall of low intensity or short duration but at rain events of longer duration or higher intensity, the hydrographs had no significant differences. The same results were obtained when simulated fields of soil thickness were applied in modelling. As a whole, the study revealed that RK of soil thickness represents better spatial variations than the OK. Also, various spatial patterns of soil thickness significantly influence simulated runoff at only rainfalls of low intensity and/or short duration.},
File = {Rahimy2011.pdf:Rahimy2011.pdf:PDF},
Keywords = {LISEM, soil thickness, saturated hydraulic conductivity, Kriging, conditional simulation, Faucon, hydrograph; saga gis;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21},
Url = {http://www.agriculturejournals.cz/publicFiles/64802.pdf}
}
@Article{RaiskinmaekiEtAl2002,
Title = {Lattice-Boltzmann simulation of capillary rise dynamics},
Author = {P. Raiskinmäki and A. Shakib-Manesh and A. Jäsberg and A. Koponen and L. Merikoski and J. Timonen},
Journal = {Journal of Statistical Physics},
Pages = {143-158},
Volume = {107},
Year = {2002},
Abstract = {We report results of extensive two-phase lattice-Boltzmann simulations of capillary rise dynamics. We demonstrate that the method can be used to model the hydrodynamic behaviour inside a capillary tube provided that the diameter of the tube is large enough, typically at least 30 lattice units. We also present results for the dependence of the cosine of the dynamic contact angle on the capillary number Ca. Its deviation from the static advancing contact angle has a power-law form, with the value of the exponent very close to 3/2 for capillary rise at zero gravity, while behaviour is more complex in the presence of gravity.},
File = {RaiskinmaekiEtAl2002.pdf:RaiskinmaekiEtAl2002.pdf:PDF},
Keywords = {Lattice-Boltzmann; capillary phenomenon; wetting; two-phase hydrodynamics.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.springerlink.com/index/y24hhfbl1f2l5pfe.pdf}
}
@Article{RajkaiEtAl2004,
Title = {Estimating the water retention curve from soil properties: comparison of linear, nonlinear and concomitant variable methods},
Author = {Rajkai, K. and Kabos, S. and Van Genuchten, M.T.},
Journal = {Soil and Tillage Research},
Pages = {145-152},
Volume = {79},
Year = {2004},
Number = {2},
Abstract = {The unsaturated soil hydraulic functions involving the soil-water retention curve (SWRC) and the hydraulic conductivity provide useful integrated indices of soil quality. Existing and newly devised methods were used to formulate pedotransfer functions (PTFs) that predict the SWRC from readily available soil data. The PTFs were calibrated using a large soils database from Hungary. The database contains measured soil-water retention data, the dry bulk density, sand, silt and clay percentages, and the organic matter content of 305 soil layers from some 80 soil profiles. A three-parameter van Genuchten type function was fitted to the measured retention data to obtain SWRC parameters for each soil sample in the database. Using a quasi-random procedure, the database was divided into “evaluation” (EVAL) and “test” (TEST) parts containing 225 and 80 soil samples, respectively. Linear PTFs for the SWRC parameters were calculated for the EVAL database. The PTFs used for this purpose particle-size percentages, dry bulk density, organic matter content, and the sand/silt ratio, as well as simple transforms (such as logarithms and products) of these independent variables. Of the various independent variables, the eight most significant were used to calculate the different PTFs. A nonlinear (NL) predictive method was obtained by substituting the linear PTFs directly into the SWRC equation, and subsequently adjusting the PTF parameters to all retention data of the EVAL database. The estimation error (SSQ) and efficiency (EE) were used to compare the effectiveness of the linear and nonlinearly adjusted PTFs. We found that EE of the EVAL and the TEST databases increased by 4 and 7%, respectively, using the second nonlinear optimization approach. To further increase EE, one measured retention data point was used as an additional (concomitant) variable in the PTFs. Using the 20 kPa water retention data point in the linear PTFs improved the EE by about 25% for the TEST data set. Nonlinear adjustment of the concomitant variable PTF using the 20 kPa retention data point as concomitant variable produced the best PTF. This PTF produced EE values of 93 and 88% for the EVAL and TEST soil data sets, respectively.},
Doi = {10.1016/j.still.2004.07.003},
File = {RajkaiEtAl2004.pdf:RajkaiEtAl2004.pdf:PDF},
Keywords = {Soil–water retention function; Pedotransfer functions; Unsaturated flow; Soil quality},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.03}
}
@Conference{Ramos2003,
Title = {Desafios da pedologia brasileira frente ao novo milênio},
Author = {Doracy Pessoa Ramos},
Booktitle = {Palestra proferida no XXIX Congresso Brasileiro de Ciência do Solo. Ribeirão Preto, SP, Julho 2003},
Year = {2003},
File = {Ramos2003.pdf:Anais/Ramos2003.pdf:PDF},
Owner = {pccli},
Timestamp = {2011.12.14},
Url = {http://jararaca.ufsm.br/websites/dalmolin/download/textospl/desafio.pdf}
}
@Article{RandallEtAl1997,
Title = {NMR studies of soil, soil organic matter and nutrients: spectroscopy and imaging},
Author = {E W Randall and N Mahieu and G I Ivanova},
Journal = {Geoderma},
Pages = {307-325},
Volume = {80},
Year = {1997},
Abstract = {A short general review of all aspects of the NMR technique, in both the spectroscopic and imaging modes, as applied to the study of soil, is presented from a mainly technical point of view. Illustrations, in the form of spectra and images, are reproduced for whole soils, solids, solid fractions, and liquid extracts from material in the authors' group. Nuclides covered are 1H, 13C, 15N, 27Al and 31P. For solid samples the techniques employed include CP/MAS with and without TOSS, and for liquid-state studies the first high field (14.1 T) examples for soils in both one and two frequency dimensions are presented. For imaging further results from the first application of the stray field (STRAFI) technique applied to water in soil are given showing distortion-free images of both bound and free water. Finally, the first electron nuclear double resonance (ENDOR) and pulsed EPR results on soils will be illustrated. This paper is a slightly expanded version of an introductory talk of 35 minutes and so is not discursive. In particular the benefits of the techniques presented to soil science are only touched on. Other speakers present papers elsewhere in this issue which expand on particular aspects of the utility of NMR studies of soils},
File = {:Geoderma/Randal et al_Geoderma_1997.PDF:PDF},
Keywords = {NMR; spectroscopy; imaging; soil; organic matter; nutrients},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706197000578}
}
@Manual{RapidEye2013,
Title = {Satellite imagery product specifications},
Address = {Brandenburg an der Havel},
Author = {RapidEye},
Edition = {5},
Pages = {46},
Publisher = {RapidEye},
Year = {2013},
File = {RapidEye2013.pdf:RapidEye2013.pdf:PDF},
Owner = {alessandro},
Timestamp = {31.10.2013},
Url = {http://www.rapideye.com/upload/RE_Product_Specifications_ENG.pdf}
}
@Article{Rapti-CaputoEtAl2006,
Title = {Pollution risk assessment based on hydrogeological data and management of solid waste landfills},
Author = {Dimitra Rapti-Caputo and Francesco Sdao and Salvatore Masi},
Journal = {Engineering Geology},
Pages = {122-131},
Volume = {85},
Year = {2006},
Doi = {10.1016/j.enggeo.2005.09.033},
File = {:Engineering Geology/Rapti-Caputo et al_Eng Geol_2006.pdf:PDF},
Keywords = {Landfill; Contamination; Risk index; Groundwater; Vulnerability},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009}
}
@Book{RawlingsEtAl1998,
Title = {Applied regression analysis: a research tool},
Author = {John O. Rawlings and Sastry G. Pantula and David A. Dickey},
Publisher = {New York, USA: Springer},
Year = {1998},
Edition = {2},
File = {RawlingsEtAl1998.pdf:Book/RawlingsEtAl1998.pdf:PDF},
Keywords = {Regression through the origin},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.11}
}
@Article{RawlinsEtAl2009,
Title = {Estimating particle-size fractions of soil dominated by silicate minerals from geochemistry},
Author = {B. G. Rawlins and R. Webster and A. M. Tye and R. Lawley and S. L. O?hara},
Journal = {European Journal of Soil Science},
Pages = {116-126},
Volume = {60},
Year = {2009},
Abstract = {Measuring particle-size distribution (psd) is so time-consuming and expensive that it is rarely affordable for systematic survey. In young soil dominated by silicate minerals the size fractions have characteristic elemental compositions, and so they might be predicted from geochemical analysis. We tested the feasibility of predicting the psd from concentrations of elements in samples of topsoil taken in surveys of two large regions in eastern England and on which the psd had been determined. Of the 35 elements measured we chose eight (a) from our general knowledge of mineral composition, (b) after a principal component analysis to avoid redundancy and (c) experience elsewhere. Of the eight elements, five were used (Al, Fe, Ni, Ti and Zr) to build multiple linear regression models for the predictions. The equations were assessed by their coefficients of determination, R2, and the effectiveness of their predictions, expressed as rootmean- square errors (RMSEs) on validation sets of data of known psd. The models accounted on average for 89% of the variance in the clay size-fraction and 82% for sand. The corresponding median RMSEs were 4.9% and 8.8% on medians of 17% and 58%, respectively. The silt size-fraction was less well predicted; R2 was only 0.58, and the median RMSE was 10.6% on a median of 22%. We judge our approach, in which the regression models may be regarded as pedotransfer functions, to have been moderately successful and to merit attention in similar circumstances in other regions.},
Doi = {10.1111/j.1365-2389.2008.01112.x},
File = {:European Journal of Soil Science/Rawlins et al_Eur J Soil Sci_2009.pdf:PDF},
Keywords = {additive log-ratio; redemds},
Owner = {Administrador},
Timestamp = {2011.08.23}
}
@Article{RawlinsonEtAl2004,
Title = {Woodland establishment on closed old-style landfill sites in N.W. England},
Author = {Helen Rawlinson and Nicholas Dickinson and Paul Nolan and Philip Putwain},
Journal = {Forest Ecology and Management},
Pages = {265?280},
Volume = {202},
Year = {2004},
Doi = {10.1016/j.foreco.2004.07.034},
File = {:Forest Ecology and Management/Rawlinson et al_Forest Ecol Manage_2004.pdf:PDF},
Keywords = {Community forestry; Brownfield; Reclamation; Urban forestry},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@InCollection{Rawls2004,
Title = {Pedotransfer functions for the United States},
Author = {W.J. Rawls},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {437 - 447},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30023-1},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-T/2/2811887a82660501fccefa5c35e997da}
}
@InCollection{RawlsEtAl2004,
Title = {Effect of soil organic carbon on soil hydraulic properties},
Author = {W.J. Rawls and A. Nemes and Ya. Pachepsky},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {95 - 114},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30006-1},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-6/2/ab02617963fd89f22130fe43290bd0a8}
}
@Article{RechEtAl2001,
Title = {The influence of slope aspect on soil weathering processes in the Springerville volcanic field, Arizona},
Author = {Jason A. Rech and Richard W. Reeves and David M. Hendricks},
Journal = {Catena},
Pages = {49 - 62},
Volume = {43},
Year = {2001},
Number = {1},
Abstract = {A comparison was made between soils on north- and south-facing slopes of six cinder cones in the Springerville volcanic field (SVF), Arizona, in order to determine the influence of slope aspect on soil weathering processes. Twenty-four soil pedons were sampled on different aspects of six cinder cones. To control for the influence of slope on pedogenesis, all sample sites possessed slopes of 17±2°. Soil weathering processes were characterized by solum depth, texture, and Ca:Zr chemical weathering indices. Quartz and mica were used to identify eolian additions to the volcanic soils. Accelerated rates of weathering and soil development were found to occur in soils on south-facing slopes while no trend with aspect was found for eolian additions. Accelerated rates of weathering and soil development may influence cinder cone degradation and cone morphology.},
Doi = {DOI: 10.1016/S0341-8162(00)00118-1},
File = {RechEtAl2001.pdf:Catena/RechEtAl2001.pdf:PDF},
ISSN = {0341-8162},
Keywords = {Chemical weathering; Cinder cones; Dust; Slope aspect; Volcanic soils},
Url = {http://www.sciencedirect.com/science/article/B6VCG-420SJTY-4/2/29246477aa6c6d83bd14ba2cdc82c1f0}
}
@Electronic{RedeMDS2013,
Title = {RedeMDS},
Author = {RedeMDS},
Month = {3},
Url = {https://www.facebook.com/pages/RedeMDS/108546349306358?sk=info},
Year = {2013},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.07}
}
@Article{RefsgaardEtAl2004,
Title = {Modelling guidelines - terminology and guiding principles},
Author = {Refsgaard, J. C. and Henriksen, H. J.},
Journal = {Advances in Water Resources},
Pages = {71-82},
Volume = {27},
Year = {2004},
Number = {1},
Abstract = {Some scientists argue, with reference to Popper's scientific philosophical school, that models cannot be verified or validated. Other scientists and many practitioners nevertheless use these terms, but with very different meanings. As a result of an increasing number of examples of model malpractice and mistrust to the credibility of models, several modelling guidelines are being elaborated in recent years with the aim of improving the quality of modelling studies. This gap between the views and the lack of consensus experienced in the scientific community and the strongly perceived need for commonly agreed modelling guidelines is constraining the optimal use and benefits of models. This paper proposes a framework for quality assurance guidelines, including a consistent terminology and a foundation for a methodology bridging the gap between scientific philosophy and pragmatic modelling. A distinction is made between the conceptual model, the model code and the site-specific model. A conceptual model is subject to confirmation or falsification like scientific theories. A model code may be verified within given ranges of applicability and ranges of accuracy, but it can never be universally verified. Similarly, a model may be validated, but only with reference to site-specific applications and to pre-specified performance (accuracy) criteria. Thus, a model's validity will always be limited in terms of space, time, boundary conditions and types of application. This implies a continuous interaction between manager and modeller in order to establish suitable accuracy criteria and predictions associated with uncertainty analysis.},
Doi = {10.1016/j.advwatres.2003.08.006},
File = {RefsgaardEtAl2004.pdf:RefsgaardEtAl2004.pdf:PDF},
Keyword = {Model guidelines, Scientific philosophy, Validation, Verification, Confirmation, Domain of applicability, Uncertainty},
Keywords = {DSM framework;}
}
@Article{RefsgaardEtAl2006,
Title = {A framework for dealing with uncertainty due to model structure error },
Author = {Jens Christian Refsgaard and Jeroen P. van der Sluijs and James Brown and Peter van der Keur},
Journal = {Advances in Water Resources },
Pages = {1586 - 1597},
Volume = {29},
Year = {2006},
Number = {11},
Abstract = {Although uncertainty about structures of environmental models (conceptual uncertainty) is often acknowledged to be the main source of uncertainty in model predictions, it is rarely considered in environmental modelling. Rather, formal uncertainty analyses have traditionally focused on model parameters and input data as the principal source of uncertainty in model predictions. The traditional approach to model uncertainty analysis, which considers only a single conceptual model, may fail to adequately sample the relevant space of plausible conceptual models. As such, it is prone to modelling bias and underestimation of predictive uncertainty. In this paper we review a range of strategies for assessing structural uncertainties in models. The existing strategies fall into two categories depending on whether field data are available for the predicted variable of interest. To date, most research has focussed on situations where inferences on the accuracy of a model structure can be made directly on the basis of field data. This corresponds to a situation of ‘interpolation’. However, in many cases environmental models are used for ‘extrapolation’; that is, beyond the situation and the field data available for calibration. In the present paper, a framework is presented for assessing the predictive uncertainties of environmental models used for extrapolation. It involves the use of multiple conceptual models, assessment of their pedigree and reflection on the extent to which the sampled models adequately represent the space of plausible models. },
Doi = {10.1016/j.advwatres.2005.11.013},
File = {RefsgaardEtAl2006.pdf:RefsgaardEtAl2006.pdf:PDF},
ISSN = {0309-1708},
Keywords = {Environmental modelling},
Url = {http://www.sciencedirect.com/science/article/pii/S0309170805002903}
}
@Article{ReichertEtAl2003,
Title = {Qualidade dos solos e sustentabilidade de sistemas agrícolas},
Author = {J Miguel Reichert and Dalvan J Reinert and J Alfredo Braida},
Journal = {Ciência e Ambiente},
Pages = {29-48},
Volume = {27},
Year = {2003},
Abstract = {O solo pode ser considerado a base de sustentação dos sistemas agrícolas. Assim, perdas nas suas propriedades, que reduzam a capacidade de sustentar o crescimento vegetal ou que impliquem riscos ambientais, causam impacto negativo de grande significação para as comunidades rurais, com repercussões no meio urbano. Por outro lado, a melhoria do ambiente edáfico tem efeitos positivos sobre todo o ambiente, revestindo de grande importância o conhecimento da qualidade do solo e sua quantificação via indicadores físicos, químicos e biológicos. A agregação e a compactação são dois processos importantes que também ocorrem nos solos agrícolas e que têm grande relação com a qualidade. Sua avaliação, por meio de indicadores, associada a informações sobre crescimento vegetal e aspectos ambientais, especialmente aqueles relacionados à erosão dos solos, podem ser úteis para o estabelecimento de uma agricultura sustentável.},
File = {ReichertEtAl2003.pdf:ReichertEtAl2003.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.03},
Url = {http://www.fisicadosolo.ccr.ufsm.quoos.com.br/downloads/Producao_Artigos/5.pdf}
}
@Article{ReichertEtAl2007,
Title = {Compactação do solo em sistemas agropecuários e florestais: identificação, efeitos, limites críticos e mitigação},
Author = {José Miguel Reichert and Luis Eduardo Akiyoshi Sanches Suzuki and Dalvan José Reinert},
Journal = {Tópicos em Ciência do Solo},
Pages = {49-134},
Volume = {5},
Year = {2007},
Abstract = {A compactação do solo é um problema antigo e intensificou-se com a modernização da agricultura, principalmente pelo uso de máquinas cada vez maiores e mais pesadas. A compactação em áreas agrícolas e em pastagens ocorre, geralmente, em uma camada encontrada até, no máximo, a 20 cm, enquanto, em áreas florestais, a compactação pode atingir maiores profundidades. No plantio convencional, essa camada compactada era rompida pelos implementos de preparo do solo, transferindo a compactação para maiores profundidades pelo tráfego e contato dos implementos com o solo subsuperficial. No sistema plantio direto ou em pastagens, como não há revolvimento, a compactação do solo fica mais restrita à sua superfície. Em áreas florestais, com o possível revolvimento do solo (2) a compactação é eliminada até à camada de ação dos implementos, porém, em áreas sob condução de rebrota, a compactação permanece. O estudo da compactação é complexo, pois, assim como os solos (Braida, 2004; Silva et al., 2006b,c), as culturas também respondem diferentemente à compactação do solo (Foloni et al., 2006). As culturas da soja, milho, algodão e Brachiaria brizantha responderam diferentemente quanto à área foliar, produção de matéria seca da parte aérea e altura em relação aos níveis de compactação, representados pela densidade de um Latossolo Vermelho-Escuro distrófico (569 g kg -1 de areia, 90 g kg -1 de silte e 341 g kg -1 de argila) em vaso (Silva et al., 2006a). Portanto, as decisões a serem tomadas em relação ao manejo do solo devem ser, muitas vezes, específicas a cada situação. Em função disso, há necessidade de estudar a compactação em diferentes solos, culturas, variedades e condições climáticas.},
File = {ReichertEtAl2007a.pdf:ReichertEtAl2007a.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://www.ufsm.br/fisicadosolo/downloads/Producao_Artigos/2007_Topicos.pdf}
}
@Article{ReichertEtAl2009,
Title = {Reference bulk density and critical degree-of-compactness for no-till crop production in subtropical highly weathered soils},
Author = {José Miguel Reichert and Luis Eduardo Akiyoshi Sanches Suzuki and Dalvan José Reinert and and Rainer Horn and Inge Hakansson},
Journal = {Soil and Tillage Research},
Pages = {242-254},
Volume = {102},
Year = {2009},
Abstract = {The concept of degree of compactness (DC), referred to as field bulk density (BD) as a percentage of a reference bulk density (BDref), was developed to characterize compactness of soil frequently disturbed, but for undisturbed soil such as under no-tillage critical degree of compactness values have not been tested. The objective of this study was to compare methods to determine BDref and limits of DC and BD for plant growth under no-tillage in subtropical soils. Data from the literature and other databases were used to establish relationships between BD and clay or clay plus silt content, and between DC and macroporosity and yield of crops under no-tillage in subtropical Brazil. Data of BDref reached by the soil Proctor test on disturbed soil samples, by uniaxial compression with loads of 200 kPa on disturbed and undisturbed soil samples, and 400, 800 and 1600 kPa on undisturbed soil samples, were used. Also, comparisons were made with critical bulk density based on the least limiting water range (BDc LLWR) and on observed root and/or yield restriction in the field (BDc Rest). Using vertical uniaxial compression with a load of 200 kPa on disturbed or undisturbed samples generates low BDref and high DC-values. The standard Proctor test generates higher BDref-values, which are similar to those in a uniaxial test with a load of 1600 kPa for soils with low clay content but lower for soils with high clay content. The BDc LLWR does not necessarily restrict root growth or crop yield under no-tillage, since field investigations led to higher BDc Rest-values. A uniaxial load greater than 800 kPa is promising to determine BDref for no-tillage soils. The BDref is highly correlated to the clay content and thus pedotransfer functions may be established to estimate the former based on the latter. Soil ecological properties are affected before compaction restricts plant growth and yield. The DC is an efficient parameter to identify soil compaction affecting crops. The effect of compaction on ecological properties must also be further considered.},
Doi = {10.1016/j.still.2008.07.002},
File = {ReichertEtAl2009a.pdf:ReichertEtAl2009a.pdf:PDF},
Keywords = {Soil compaction; Direct drilling; Reference bulk density; Root and crop growth},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Article{ReisEtAl2009,
Title = {Análise técnica dos novos padrões brasileiros para amônia em efluentes e corpos d'água.},
Author = {José Antonio Tosta Reis and Antônio Sérgio Ferreira Mendonça},
Journal = {Engenharia Sanitaria e Ambiental},
Pages = {353-362},
Volume = {14},
Year = {2009},
Abstract = {Este trabalho discute os padrões estabelecidos pelas resoluções Conama 357/2005 e 397/2008 para os compostos de amônia em efluentes e corpos d'água. Os padrões estabelecidos pelas referidas resoluções são confrontados com os estabelecidos pela revogada Resolução Conama 20/1986 e com os padrões norte-americanos. As discussões permitem concluir que a Resolução Conama 357/2005 apresenta avanços em relação aos padrões anteriormente estabelecidos, incorporando a influência do pH sobre distribuição e toxicidade dos compostos amoniacais e alterando a concentração máxima aceitável para a amônia total nos efluentes. A Resolução Conama 397/2008 permite a eliminação do limite para efluentes sanitários. No entanto, as referidas resoluções não consideram a influência da temperatura sobre o comportamento dos compostos de amônia.},
File = {:Engenharia Sanitária e Ambiental/Reis e Mendonça_Eng Sanit Ambient_2009.pdf:PDF},
Keywords = {amônia; Resolução Conama 357/2005; Resolução Conama 397/2008},
Language = {english},
Owner = {Administrador},
Publisher = {scielo},
Timestamp = {2010.12.05},
Url = {http://www.scielo.br/pdf/esa/v14n3/v14n3a09.pdf}
}
@Book{Rencher2002,
Title = {Methods of multivariate analysis},
Address = {New York},
Author = {Rencher, A. C.},
Pages = {708},
Publisher = {John Wiley \& Sons},
Year = {2002},
Edition = {2},
File = {Rencher2002.pdf:Book/Rencher2002.pdf:PDF},
Keywords = {Population; Correlation; Matrix;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Book{Rencher1998,
Title = {Multivariate statistical inference and applications},
Author = {Alvin C. Rencher},
Pages = {572},
Publisher = {New York, USA: John Wiley and Sons},
Year = {1998},
Edition = {1},
File = {Rencher1998.pdf:Book/Rencher1998.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{Rendu1979,
Title = {Normal and lognormal estimation},
Author = {Rendu, Jean-Michel M.},
Journal = {Mathematical Geology},
Pages = {407–422},
Volume = {11},
Year = {1979},
Month = {Aug},
Number = {4},
Doi = {10.1007/bf01029297},
File = {Rendu1979.pdf:Rendu1979.pdf:PDF},
ISSN = {1573-8868},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@InCollection{ReuterEtAl2009,
Title = {Preparation of DEMs for geomorphometric analysis},
Author = {H.I. Reuter and Tomislav Hengl and P. Gessler and P. Soille},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {4},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {87 - 120},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00004-4},
File = {ReuterEtAl2009.pdf:ReuterEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {DEM quality issues; ruggedness; roughness;},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-D/2/34a0ac33055aa238ed38aee322ccc231}
}
@InCollection{ReuterEtAl2009a,
Title = {Applications in precision agriculture},
Author = {H.I. Reuter and K.-C. Kersebaum},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {27},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {623 - 636},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00027-5},
File = {ReuterEtAl2009a.pdf:ReuterEtAl2009a.pdf:PDF},
ISSN = {0166-2481},
Keywords = {Precision Agriculture applications},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-17/2/ebb3d2d7e0f9639a29cdd311da588daa}
}
@InCollection{ReuterEtAl2009b,
Title = {Geomorphometry in ESRI packages},
Author = {H.I. Reuter and A. Nelson},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {11},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {269 - 291},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00011-1},
File = {ReuterEtAl2009b.pdf:ReuterEtAl2009b.pdf:PDF},
ISSN = {0166-2481},
Keywords = {importing DEM data in ESRI software products},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-N/2/e10cd9000d09db5f126d2a5b998de325}
}
@Article{ReuterEtAl2007,
Title = {An evaluation of void-filling interpolation methods for {SRTM} data},
Author = {H I Reuter and A Nelson and A Jarvis},
Journal = {International Journal of Geographical Information Science},
Pages = {983-1008},
Volume = {21},
Year = {2007},
Number = {9},
Doi = {10.1080/13658810601169899},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/13658810601169899},
File = {ReuterEtAl2007.pdf:ReuterEtAl2007.pdf:PDF}
}
@Electronic{Reuters2010,
Author = {Reuters},
HowPublished = {Thomson Reuters},
Language = {english},
Month = {fevereiro},
Organization = {ScienceWatch.com},
Url = {http://sciencewatch.com/dr/erf/2010/10feberf/10feberfMcBr/},
Year = {2010},
File = {Reuters2010.pdf:miscelaneous/Reuters2010.pdf:PDF},
Keywords = {Digital Soil Mapping},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.04}
}
@Manual{Revelle2012,
Title = {psych: procedures for psychological, psychometric, and personality research},
Address = {Viena},
Author = {William Revelle},
Pages = {282},
Publisher = {R Project},
Year = {2012},
Note = {R package version 1.0-97},
Organization = {Northwestern University},
Abstract = {A number of routines for personality, psychometrics and experimental psychology. Functions are primarily for scale construction using factor analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for simulating particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometrics as well as publications in personality research. For more information, see the personality-project.org/r webpage.},
File = {Revelle2011.pdf:Revelle2011.pdf:PDF},
Keywords = {r project},
Url = {http://cran.r-project.org/web/packages/psych/index.html}
}
@Article{RezaeiEtAl2005,
Title = {The effects of landscape attributes and plant community on soil physical properties in rangelands},
Author = {Seyed Ata Rezaei and Robert J. Gilkes},
Journal = {Geoderma},
Pages = {145-154},
Volume = {125},
Year = {2005},
Abstract = {This study addressed the effect of landscape attributes on the spatial distribution of soil physical properties in an alpine rangeland in a semi-arid area of Iran. Soil physical properties are recognized for their important role in supporting plant growth. To identify the effects of landscape attributes on soil physical properties the present study collected and analysed information from air photos, satellite images, field survey, and the laboratory using statistical analyses. Land stratification allowed the study area to be subdivided into Land Unit Tracts (LUT), according to specified criteria including landform attributes (slope, aspect, and altitude) and vegetation type. A factorial model on the basis of a completely randomised design was used to analyse the data collected from 234 LUT. The interrelationships between soil physical properties and landscape attributes were investigated and interpreted based on statistical analysis and expert knowledge. Slope significantly ( Pb0.05) affected most properties of the 0? 10 cm topsoil including grade of pedality and slake test. Also, many soil properties that reflect parent material and likely to be related to soil moisture status including coarse fragment ratio, soil profile effective thickness, first layer effective thickness, water retention capacity, and depth to water table were significantly related to slope gradient. These soil properties noticeably affect range productivity.},
Doi = {10.1016/j.geoderma.2004.07.011},
File = {:Geoderma/Rezaei & Gilkes_Geoderma_2005.pdf:PDF},
Keywords = {Soil physical properties; Landscape attributes; Vegetation type; Rangelands},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{RezaeiaEtAl2005,
Title = {The effects of landscape attributes and plant community on soil physical properties in rangelands},
Author = {Rezaeia, S A and Gilkes, R J},
Journal = {Geoderma},
Pages = {145-154},
Volume = {125},
Year = {2005},
Keywords = {Aspect; Northerness;},
Owner = {alessandro},
Timestamp = {30.05.2013}
}
@Article{RheinheimerEtAl2008,
Title = {Comparison of determination methods of total organic carbon in soils},
Author = {Rheinheimer, Danilo dos Santos and Campos, Ben-Hur Costa de and Sandro José Giacomini and Paulo Cesar Conceição and Edson Campanhola Bortoluzzi},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {435-440},
Volume = {32},
Year = {2008},
Abstract = {O teor de C orgânico total do solo (COT) pode ser determinado por métodos que se baseiam nos princípios de combustão a seco e combustão úmida. Ambos apresentam inconvenientes, principalmente o de combustão úmida, que exige grande quantidade de reagentes, gerando, por conseqüência, alta quantidade de resíduos tóxicos que contêm Cr. O método denominado Mebius no bloco de digestão (Mebius no bloco) permite a diminuição do uso de dicromato de potássio em análises de solo. Nesse sentido, o presente estudo objetivou verificar a precisão e exatidão do método Mebius no bloco em relação a outros de combustão úmida e o de combustão a seco. O trabalho foi realizado na Federal University of Santa Maria, em duas etapas: os teores de COT foram determinados em 18 amostras de duas camadas (0?5 e 5?10 cm) de um Latossolo Vermelho distrófico típico com diferentes usos. Os métodos usados foram Walkley-Black, Mebius modificado, Mebius no bloco e por captura de CO 2 ; os teores de COT foram determinados por combustão a seco e Mebius no bloco em 75 amostras coletadas nos horizontes A1 (0?7,5 e 7,5?15 cm), A2, E e Bt de um Argissolo Vermelho-Amarelo distrófico abrúptico submetido a cinco sistemas de manejo e três repetições. A precisão apresentada pelos métodos de combustão úmida é similar e com coeficiente de variação abaixo de 10 %, com exceção do método de captura de CO 2 , que apresentou valores de COT inferiores aos dos demais e com maior coeficiente de variação. O método Mebius no bloco permite processar maior número de amostras por tempo, com menor consumo de reagentes, e seus resultados apresentam boa precisão (coeficiente de variação menor que 2,60 %) entre os métodos de combustão úmida testados. Um fator de correção de 1,14 deverá ser aplicado aos resultados obtidos pelo método Mebius no bloco para equivaler aos obtidos por combustão a seco (analisador elementar de carbono).},
Doi = {10.1590/S0100-06832008000100041},
File = {RhenheimerEtAl2007.pdf:Revista Brasileira de Ciência do Solo/RhenheimerEtAl2007.pdf:PDF},
Keywords = {Mebius no bloco digestor, precisão e exatidão, dicromato de potássio, resíduos químicos, comparação de métodos; soc methods},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Book{RhoadsEtAl1996,
Title = {The scientific nature of geomorphology},
Author = {Rhoads, Bruce L and Thorn, Colin E},
Year = {1996},
File = {RhoadsEtAl1996.pdf:RhoadsEtAl1996.pdf:PDF},
Keywords = {Observation;}
}
@Article{RhotonEtAl2006,
Title = {Soil geomorphological characteristics of a semiarid watershed: influence on carbon distribution and transport},
Author = {F. E. Rhoton and W. E. Emmerich and D. C. Goodrich and S. N. Miller and D. S. McChesney},
Journal = {Soil Science Society of America Journal},
Pages = {1532-1540},
Volume = {70},
Year = {2006},
Abstract = {In the marginally productive rangelands of the semiarid, southwest-ern USA, the maintenance of organic C (OC) is essential to the stability of the ecosystem. This study was conducted to identify landscape factors responsible for the distribution of OC in watershed soils, its loss from upland areas and subsequent transport within the stream system of a large semiarid watershed (Walnut Gulch Experimental Watershed [WGEW], Tombstone, AZ). Samples were collected along transects from the surface 5 cm of each major soil mapping unit in six subwater- sheds (SW). Data were recorded for slope class, landscape position, and aspect at each of the 435 sampling points. Soil analyses consisted of: total C and OC, particle-size distribution, water dispersible clay, pH, quantitative color, and aggregation index (AI). Sediment samples were collected from flumes at each SW outlet. These 169 bedload and 59 suspended sediment samples were analyzed identically to the soils. Soil data indicated that OC distributions in the SWs were related to parent material with significantly (p # 0.05) greater contents recorded on the steeper slopes (.9%), and backslope and toeslope positions. Fewer significant correlations were identified for aspect. Soil OC was signifi- cantly (p # 0.01) correlated with silt and clay contents. Organic C contents of the soils and suspended sediments averaged 11.4 and 24.0 g kg 21 , respectively, giving an enrichment ratio (ER) for OC in the suspended sediments of 2.13. Bedload sediment was depleted in OC by an average ratio of 0.65 relative to the soils. The results suggest that OC is transported through this watershed predominantly as silt- and clay-size materials in concentrations controlled by the soil AI.},
Doi = {10.2136/sssaj2005.0239},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Manual{RibeiroEtAl2013,
Title = {Package geo{R}},
Address = {Viena},
Author = {Ribeiro Jr, Paulo J. and Peter J. Diggle},
Year = {2013},
File = {RibeiroEtAl2013.pdf:RibeiroEtAl2013.pdf:PDF},
Keywords = {geostatistics; random field;},
Owner = {alessandro},
Timestamp = {2013.04.28}
}
@Manual{RibeiroEtAl2006a,
Title = {geoR: Package for Geostatistical Data Analysis - An illustrative session},
Address = {Curitiba},
Author = {Ribeiro Jr, Paulo J. and Peter J. Diggle},
Pages = {24},
Publisher = {Federal University of Paraná, Laboratory of Statistics and Geoinformation},
Year = {2006},
Keywords = {REML;},
Url = {http://www.leg.ufpr.br/geoR/geoRdoc/geoRintro.pdf}
}
@Article{RibeiroEtAl2001,
Title = {geo{R}: a package for geostatistical analysis},
Author = {Ribeiro Jr, P. J. and Diggle, P J},
Journal = {R-NEWS},
Pages = {15-18},
Volume = {1},
Year = {2001},
Month = {June},
Number = {2},
File = {RibeiroEtAl2001.pdf:RibeiroEtAl2001.pdf:PDF},
Keywords = {PhDpaper1},
Url = {http://geodacenter.asu.edu/system/files/rnews1.2.15-18_0.pdf}
}
@Inproceedings{RibeiroEtAl2006,
Title = {Uncertainty propagation in multi-stage measurements using linear regression analysis and {Monte} {Carlo} simulation},
Author = {A. Silva Ribeiro and Sousa, J. Alves e and C. Oliveira Costa and Castro, M. Pimenta de},
Booktitle = {Proceedings of the Eighteenth Imeko World Congress},
Pages = {6},
Year = {2006},
Address = {Rio de Janeiro},
Abstract = {Linear Regression Analysis (LRA) is one of the statistical tools most intensively used in all branches of science, with many applications in the study of measurement processes and is therefore important in metrology. The implementation of metrology in quality systems, led to a widespread evaluation of measurement uncertainties based on the GUM uncertainty framework (Guide to the Expression of Uncertainty in Measurement). This methodology, however, has its own restrictions among which one could include the use of LRA in multi-stage measurement. To overcome these restrictions, an alternative approach considers the use of the Monte Carlo method to evaluate LRA uncertainties and, subsequently, to use it further in the evaluation of uncertainties in multi-stage measurement processes. XVIII IMEKO World Congress, Rio de Janeiro, Brazil, 2006},
File = {RibeiroEtAl2006.pdf:RibeiroEtAl2006.pdf:PDF},
Institution = {International Measurement Confederation},
Keywords = {redemds; measurement uncertainty, linear regression analysis, Monte Carlo method, multi-stage measurement; comparação de métodos},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.12},
Url = {http://www.imeko.org/}
}
@Manual{Ricci2005,
Title = {Fitting distributions with R (Available at http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf; Accessed in January/27/2010)},
Author = {Vito Ricci},
Year = {2005},
Abstract = {Fitting distributions consists in finding a mathematical function which represents in a good way a statistical variable. A statistician often is facing with this problem: he has some observations of a quantitative character x 1 , x 2 ,? x n and he wishes to test if those observations, being a sample of an unknown population, belong from a population with a pdf (probability density function) f(x,????), where ???? is a vector of parameters to estimate with available data.},
Owner = {Alessandro},
Timestamp = {2011.01.27},
Url = {http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf}
}
@Book{RichardsEtAl2006,
Title = {Remote sensing digital image analysis - an introduction},
Address = {Berlin},
Author = {John A. Richards and Xiuping Jia},
Pages = {439},
Publisher = {Springer},
Year = {2006},
Edition = {4},
File = {RichardsEtAl2006.pdf:RichardsEtAl2006.pdf:PDF},
Keywords = {Fourier; dip;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Article{RichardsEtAl1996,
Title = {Agrarian technologies as socio-technical hybrids. Food crop improvement and management of land and water In Sub-Saharan Africa},
Author = {Paul Richards and Geert Diemer},
Journal = {Bulletin de l'APAD},
Pages = {xx - xx},
Volume = {11},
Year = {1996},
File = {RichardsEtAl1996.pdf:RichardsEtAl1996.pdf:PDF},
Keywords = {lumper; splitter},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.25},
Url = {http://www.pensamientocritico.org/pauric0707.html}
}
@Article{RileyEtAl1999,
Title = {A terrain ruggedness index that quantifies topographic heterogeneity},
Author = {Riley, Shawn J and Stephen D DeGloria and Robert Elliot},
Journal = {Intermountain Journal of Sciences},
Pages = {1-4},
Volume = {5},
Year = {1999},
Abstract = {The topographic ruggedness index (TRI) is a measurement developed by Riley, et al. (1999) to express the amount of elevation difference between adjacent cells of a digital elevation grid. The process essentially calculates the difference in elevation values from a center cell and the eight cells immediately surrounding it. Then it squares each of the eight elevation difference values to make them all positive and averages the squares. The topographic ruggedness index is then derived by taking the square root of this average, and corresponds to average elevation change between any point on a grid and it?s surrounding area.},
File = {RileyEtAl1999.pdf:RileyEtAl1999.pdf:PDF},
Owner = {Alessandro},
Timestamp = {2011.02.05},
Url = {http://www.fw.msu.edu/~rileysh2/Terrain%20Ruggedness%20Index.pdf}
}
@Inbook{Ripley1981a,
Title = {Spatial sampling},
Address = {New York},
Author = {Ripley, B. D.},
Booktitle = {Spatial statistics},
Editor = {Ripley, B. D.},
Pages = {19-27},
Publisher = {John Wiley \& Sons, Inc.},
Year = {1981},
File = {Ripley1981a.pdf:Ripley1981a.pdf:PDF},
Owner = {alessandro},
Timestamp = {14.02.2015}
}
@Book{Ripley1981,
Title = {Spatial statistics},
Address = {New York},
Author = {Ripley, Brian D.},
Pages = {252},
Publisher = {John Wiley \& Sons, Inc.},
Year = {1981},
Month = {Apr},
Doi = {10.1002/0471725218},
ISBN = {http://id.crossref.org/isbn/9780471083672},
ISSN = {1940-6347},
Journal = {Wiley Series in Probability and Statistics}
}
@Article{Ripley1977,
Title = {Modelling spatial patterns},
Author = {B. D. Ripley},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {172-212},
Volume = {39},
Year = {1977},
Number = {2},
File = {Ripley1977.pdf:Ripley1977.pdf:PDF},
Keywords = {spatial point pattern analysis; ppp; Diggle;},
Owner = {alessandro},
Timestamp = {06.09.2013},
Url = {http://www.stat.colostate.edu/~bradb/files/brad.pdf}
}
@Article{Ripley1976,
Title = {The second-order analysis of stationary point processes},
Author = {Ripley, B. D.},
Journal = {Journal of Applied Probability},
Pages = {255-266},
Volume = {13},
Year = {1976},
Number = {2},
Abstract = {This paper provides a rigorous foundation for the second-order analysis of stationary point processes on general spaces. It illuminates the results of Bartlett on spatial point processes, and covers the point processes of stochastic geometry, including the line and hyperplane processes of Davidson and Krickeberg. The main tool is the decomposition of moment measures pioneered by Krickeberg and Vere-Jones. Finally some practical aspects of the analysis of point processes are discussed.},
Copyright = {Copyright © 1976 Applied Probability Trust},
File = {Ripley1976.pdf:Ripley1976.pdf:PDF},
ISSN = {00219002},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Jun., 1976},
Keywords = {ppp; point process analysis;},
Language = {English},
Publisher = {Applied Probability Trust},
Url = {http://www.jstor.org/stable/3212829}
}
@Conference{Ripley2013,
Title = {Making an R package},
Author = {R.M. Ripley},
Year = {2013},
File = {Ripley2013.pdf:Ripley2013.pdf:PDF},
Owner = {alessandro},
Timestamp = {04.12.2013},
Url = {http://portal.stats.ox.ac.uk/userdata/ruth/APTS2012/Rcourse10.pdf}
}
@Article{RisseEtAl1993,
Title = {Error assessment in the Universal Soil Loss Equation},
Author = {L M Risse and M A Nearing and A D Nicks and J M Laflen},
Journal = {Soil Science Society of America Journal},
Pages = {825-833},
Volume = {57},
Year = {1993},
Abstract = {Although nearly three decades of widespread use have confirmed the reliability of the Universal Soil Loss Equation (USLE), very little work has been done to assess the error associated with it. This study was conducted to develop a set of statistics that would measure the performance of the USLE. Estimates of soil loss using the USLE were compared with measured values on 208 natural runoff plots, representing >1700 plot years of data, to assess the error associated with the USLE predictions. The overall Nash-Sutcliffe model efficiency was determined to be 0.75 on an average annual basis and 0.58 when compared on a yearly basis. The USLE overpredicted soil loss on plots with low erosion rates while the plots with higher rates were underpredicted. Of the USLE parameters, the topographic factor (LS) and the cover and management factor (C) had the most influence on the model efficiency. Confidence intervals for USLE predictions were developed and showed that the accuracy of the USLE in terms of percentage difference between predicted and expected values increases with increasing values of total soil loss. It was also shown that there was no significant difference between the average magnitude of error for pre- and post-1960 data sets and that the use of rainfall and runoff factor (R) values instead of calculated erosion index (EI) values resulted in a drop in model efficiency of 0.02. One must use caution in applying the results of this error analysis to conditions in which they may not be applicable, due to the limited nature of this data set.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {28.07.2010},
Url = {http://ddr.nal.usda.gov/bitstream/10113/6588/1/IND20365081.pdf}
}
@Article{Ritchie1981,
Title = {Soil water availability},
Author = {J. T. Ritchie},
Journal = {Plant and Soil},
Pages = {327-338},
Volume = {58},
Year = {1981},
Abstract = {Accurately evaluating the available soil water reservoir is vital to developing optimum management for rainfed crop production in marginally dry regions. However, the soil water reservoir is not like a bucket. Some water may percolate down out of the root zone under the influence of gravity or other forces. All water remaining in the root zone reservoir cannot be taken up by the plant as rapidly as needed because it is held too tightly by the soil particles. Much attention has been given to problems of available water limits through- out the history of physical soil science. During the past four decades, the traditional approach to evaluating the limits of available water has been to measure the 'wilting point' and 'field capacity' of soil samples removed from the field through use of pressure chambers, usually measuring soil water contents at potentials of - 15 bar for the wilting point and - 0 . 3 3 bar or - 0 . 1 0 bar for field capacity. Samples are taken from the soil at various depths to the measured or estimated rooting depth and the difference between the upper and lower limits of availability are summed over the rooting depth to determine the total plant available water.},
File = {Ritchie1981.pdf:Ritchie1981.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.springerlink.com/index/K3108V00P9P27URW.pdf}
}
@Article{RitzkowskiEtAl2006,
Title = {Fundamental processes and implications during in situ aeration of old landfills},
Author = {M. Ritzkowski and K.-U. Heyer and R. Stegmann},
Journal = {Waste Management},
Pages = {356?372},
Volume = {26},
Year = {2006},
Doi = {10.1016/j.wasman.2005.11.009},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009}
}
@Article{RivettEtAl2002,
Title = {Remediation of contaminated land and groundwater: experience in England and Wales},
Author = {M.O. Rivett and J. Petts and B. Butler and I. Martin},
Journal = {Journal of Environmental Management},
Pages = {251-268},
Volume = {65},
Year = {2002},
Doi = {10.1006/jema 2002.0547},
Keywords = {contaminated land, groundwater, contamination, remediation, survey.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009}
}
@InCollection{Robbez-Masson2006,
Title = {Producing dynamic cartographic sketches of soilscapes by contextual image processing in order to improve efficiency of pedological survey},
Author = {J.-M. Robbez-Masson},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {19},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {245 - 255, 613},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Producing a preliminary cartographic sketch of soil-forming factors is required by pedologists while preparing their ground survey. With this aim, we define #soilscapes# (pédopaysages) as complex spatial objects observable at a determined spatial resolution and potentially recognisable by an original composition of landscape elements, the co-occurrence and topological relationships of these elements or the size of their spatial pattern. The proposed approach describes each point to be mapped by characteristics of its spatial neighbourhood and allocates it to pre-defined reference classes using a mathematical distance. The result is a numeric dashboard with continuous and crisp maps, graphs and cartographic and statistical quality indicators. An application example presents a small-scale cartographic sketch, as required by a French inventory program (Inventaire, Gestion et Conservation des Sols de France, IGCS), delineating soilscape units on a 50,000-ha area of southern France from 50-m resolution lithological map and topographical derivatives. A satisfactory agreement is found with an existing soilscape map made by trained surveyors. Such an approach intends to be a quantitative, iterative and interactive tool in order to (1) model the pattern of soil-forming factors in a generic, explicit and reproducible way, and (2) enrich and hasten the field work.},
Doi = {DOI: 10.1016/S0166-2481(06)31019-7},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-10/2/3e64ab11dbe7674f95ce77037d7c84c3}
}
@Book{RobertEtAl2010,
Title = {{Introducing Monte Carlo methods with R}},
Address = {New York},
Author = {Christian P. Robert and George Casella},
Pages = {283},
Publisher = {Springer},
Year = {2010},
Edition = {1},
File = {RobertEtAl2010.pdf:RobertEtAl2010.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Article{Robinson1994,
Title = {The accuracy of digital elevation models derived from digitised contour data},
Author = {Gary John Robinson},
Journal = {The Photogrammetric Record},
Pages = {805-814},
Volume = {14},
Year = {1994},
Number = {83},
Abstract = {Although accuracy of digital elevation models (DEMs) can be quantified and measured in different ways, each is influenced by three main factors: terrain character, sampling strategy and interpolation method. These parameters, and their interaction, are discussed. The generation of DEMs from digitised contours is emphasised because this is the major source of DEMs, particularly within member countries of OEEPE. Such DEMs often exhibit unwelcome artifacts, depending on the interpolation method employed. The origin and magnitude of these effects and how they can be reduced to improve the accuracy of the DEMs are also discussed.},
Publisher = {Photogrammetric Society},
Url = {http://centaur.reading.ac.uk/4650/}
}
@Article{Robinson1991,
Title = {That {BLUP} is a good thing: the estimation of random effects},
Author = {Robinson, G. K.},
Journal = {Statistical Science},
Pages = {15–32},
Volume = {6},
Year = {1991},
Month = {Feb},
Number = {1},
Doi = {10.1214/ss/1177011926},
File = {Robinson1991.pdf:Robinson1991.pdf:PDF},
ISSN = {0883-4237},
Owner = {alessandro},
Publisher = {Institute of Mathematical Statistics}
}
@Article{RodellaEtAl1994,
Title = {Evaluation of organic materials used as fertilizers},
Author = {Rodella, A. and Alcarde, J. C.},
Journal = {Scientia Agricola},
Pages = {556-562},
Volume = {51},
Year = {1994},
Keywords = {soc methods;},
Owner = {pccli},
Timestamp = {2011.05.24},
Url = {http://dx.doi.org/10.1590/S0103-90161994000300030}
}
@Mastersthesis{Rodrigues2011,
Title = {Analysis of soil and vegetation gradients in the riparian forest of {Rio São Francisco, Minas Gerais}, for forest restoration},
Address = {Viçosa},
Author = {Rodrigues, Priscyla Maria Silva},
Pages = {71},
School = {Universidade Federal de Viçosa},
Year = {2011},
File = {Rodrigues2011.pdf:Rodrigues2011.pdf:PDF},
Keywords = {redemds; mata seca},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.19},
Url = {http://alexandria.cpd.ufv.br:8000/teses/botanica/2011/238079f.pdf}
}
@Article{RodriguezEtAl2006,
Title = {A global assessment of the {SRTM} performance},
Author = {Ernesto Rodríguez and Charles S Morris and J Eric Belz},
Journal = {Photogrammetric Engineering and Remote Sensing},
Pages = {249-260},
Volume = {72},
Year = {2006},
Abstract = {The NASA/NGA Shuttle Radar Topography Mission (SRTM) collected interferometric radar data which has been used by the Jet Propulsion Laboratory to generate a near-global topography data product for latitudes smaller than 60°. One of the primary goals of the mission was to produce a data set that was globally consistent and with quantified errors. To achieve this goal, an extensive global ground campaign was conducted by NGA and NASA to collect ground truth that would allow for the global validation of this unique data set. This paper documents the results of this SRTM validation effort using this global data set. The table shown below summarizes our results (all quantities represent 90 percent errors in meters). In the paper, we present a detailed description of how the results in this table were obtained. We also present detailed characterizations of the height and planimetric components of the error, their magnitudes, geographical distribution, and spatial structure.},
Doi = {0099-1112/06/7203?0249/$3.00/0},
File = {RodriguezEtAl2006.pdf:RodriguezEtAl2006.pdf:PDF},
Keywords = {srtm; dem; error; uncertainty; redemds;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.26}
}
@Article{Rogerson2001,
Title = {A statistical method for the detection of geographic clustering},
Author = {Rogerson, Peter A.},
Journal = {Geographical Analysis},
Pages = {215--227},
Volume = {33},
Year = {2001},
Number = {3},
Abstract = {Kernel-based, smoothed estimates of spatial variables are useful in exploratory analyses because they yield a clear visual image of geographic variability in the underlying variable. In this paper I suggest an approach for assessing the significance of peaks in the surface that result from the application of the smoothing kernel. The approach may also be thought of as a method for assessing the maximum among a set of suitably defined local statistics. Local statistics for data on a regular grid of cells are first defined by using a Gaussian kernel. Results from integral geometry are then used to find the probability that the maximum local statistic (M) exceeds a given critical value (M). Approximations are provided that make implementation of the approach straightforward. Future work will address several other issues associated with local statistics that have been defined in this way, including edge effects, and the effects of global spatial autocorrelation on the choice of critical value.},
Doi = {10.1111/j.1538-4632.2001.tb00445.x},
File = {Rogerson2001.pdf:Rogerson2001.pdf:PDF},
ISSN = {1538-4632},
Owner = {alessandro},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {20.06.2013},
Url = {http://dx.doi.org/10.1111/j.1538-4632.2001.tb00445.x}
}
@Article{RogersonEtAl2001,
Title = {Spatial monitoring of geographic patterns: an application to crime analysis },
Author = {P. Rogerson and Y. Sun},
Journal = {Computers, Environment and Urban Systems },
Pages = {539 - 556},
Volume = {25},
Year = {2001},
Number = {6},
Abstract = {This paper describes a new procedure for detecting changes over time in the spatial pattern of point events, combining the nearest neighbor statistic and cumulative sum methods. The method results in the rapid detection of deviations from expected geographic patterns. It may also be used for various subregions and may be implemented using time windows of differing length to search for any changes in spatial pattern that may occur at particular time scales. The method is illustrated using 1996 arson data from the Buffalo, NY, Police Department. },
Doi = {http://dx.doi.org/10.1016/S0198-9715(00)00030-2},
File = {RogersonEtAl2001.pdf:RogersonEtAl2001.pdf:PDF},
ISSN = {0198-9715},
Keywords = {Cumulative sum methods; point pattern analysis; ppp;},
Url = {http://www.sciencedirect.com/science/article/pii/S0198971500000302}
}
@Book{RogersonEtAl2008,
Title = {Statistical detection and surveillance of geographic clusters},
Address = {Boca Raton},
Author = {Peter Rogerson and Ikuho Yamada},
Pages = {324},
Publisher = {Chapman \& Hall/CRC},
Year = {2008},
Abstract = {The widespread popularity of geographic information systems (GIS) has led to new insights in countless areas of application. It has facilitated not only the collection and storage of geographic data, but also the display of such data. Building on this progress by using an integrated approach, Statistical Detection and Monitoring of Geographic Clusters provides the statistical tools to identify whether data on a given map deviates significantly from expectations and to determine quickly whether new point patterns are emerging over time. The book begins with a review of statistical methods for cluster detection, organized according to the different types of hypotheses and questions about clustering that can be investigated. It then delineates methods that allow for the quick detection of emergent geographic clusters. The book delivers a cohesive presentation unlike that of most edited volumes. Drawing on the authors' extensive work in the field, the book delineates methods in such a way that they can be applied, almost instantly, to an array of disciplines. The readily applicable methods the book describes are useful for a multitude of problems in a variety of fields, particularly disease surveillance in the public health industry. Statistical Detection and Monitoring of Geographic Clusters is an essential volume for your reference shelf.},
ISBN = {9781584889359},
Owner = {alessandro},
Timestamp = {28.06.2013}
}
@InCollection{Romano2004,
Title = {Spatial structure of PTF estimates},
Author = {N. Romano},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {295 - 319},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30017-6},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-K/2/7308cb228abf57b96aee82e0de3782dc}
}
@InCollection{RomanoEtAl2004,
Title = {The role of terrain analysis in using and developing pedotransfer functions},
Author = {N. Romano and G.B. Chirico},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {273 - 294},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30016-4},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-J/2/b4b6436b8eb161ada7c85659a10b5da2}
}
@Phdthesis{Romao2006,
Title = {Terrain modelling based on morphometric analysis and geotechnical profiles, Goiânia, Goiás, Brazil},
Author = {P A Romão},
Pages = {166},
School = {Universidade de Brasília},
Year = {2006},
Address = {Brasília},
Owner = {Alessandro},
Timestamp = {2011.01.14},
Url = {http://repositorio.bce.unb.br/handle/10482/2544}
}
@Article{RossiniEtAl2007,
Title = {Simple parallel statistical computing in {R}},
Author = {Rossini, A. J and Tierney, Luke and Li, Na},
Journal = {Journal of Computational and Graphical Statistics},
Pages = {399-420},
Volume = {16},
Year = {2007},
Month = {Jun},
Number = {2},
Doi = {10.1198/106186007x178979},
File = {RossiniEtAl2007.pdf:RossiniEtAl2007.pdf:PDF},
ISSN = {1537-2715},
Owner = {alessandro},
Publisher = {Informa UK Limited}
}
@Techreport{Rossiter2012,
Title = {Technical Note: Literate data analysis using the R environment for statistical computing and the knitr package},
Author = {Rossiter, David G},
Pages = {35},
Year = {2012},
File = {Rossiter2012.pdf:Rossiter2012.pdf:PDF},
Keywords = {latex;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.01.22},
Url = {http://www.itc.nl/~rossiter/pubs/list.html}
}
@Techreport{Rossiter2012a,
Title = {Co-kriging with the gstat package of the R environment for statistical computing},
Address = {Enschede},
Author = {Rossiter, David G},
Pages = {81},
Year = {2012},
File = {Rossiter2012a.pdf:Rossiter2012a.pdf:PDF},
Institution = {University of Twente},
Keywords = {gstat},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.02.19},
Url = {http://www.itc.nl/~rossiter/teach/R/R_ck.pdf}
}
@Inproceedings{Rossiter2005,
Title = {Digital soil mapping: towards a multiple-use Soil Information System},
Author = {Rossiter, David G},
Booktitle = {Proceedings of the Semana de la Geomática},
Pages = {13},
Year = {2005},
Address = {Santa Fé de Bogotá},
Abstract = {In recent years thematic mapping has undergone a revolution as the result of advances in geographic information science and remote sensing. However, mapping of soil types and characteristics has not fully shared in this revolution, because of the complexity of soil geography and the high cost of its direct observation. None the less, the demand for soil information has never been higher, since the soil resource is so important for rural and urban planning, for environmental protection, and to understand water and geochemical cycles. This paper reviews the advances which are leading towards multiple-use soil information systems. These advances include: (1) low-cost, wide-area data, especially elevations and spectral reflectances; (2) direct digital remote sensing of soil properties; (3) geostatistical interpolation and sampling design; (4) terrain modelling; (5) predictive soil mapping; (6) data integration; (7) pedotransfer functions and soil inference systems; (8) powerful desktop computing environments; (9) the Internet. The challenge is to integrate these advances into operational systems that respond to the extensive actual and latent demand for soil information.},
File = {Rossiter2005.pdf:Rossiter2005.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Article{Rossiter2004,
Title = {Digital soil resource inventories: status and prospects},
Author = {Rossiter, David G},
Journal = {Soil Use and Management},
Year = {2004},
File = {Rossiter2004.pdf:Rossiter2004.pdf:PDF},
Keywords = {soil survey;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Book{Rossiter2000,
Title = {Methodology for soil resource inventories},
Address = {Enschede},
Author = {David G Rossiter},
Pages = {132},
Publisher = {Faculty of Geo-Information Science and Earth Observation - University of Twente},
Year = {2000},
Edition = {2},
Note = {{L}ecture {N}otes},
File = {Rossiter2000.pdf:Rossiter2000.pdf:PDF},
Keywords = {minimum decision area, soil series; splitter; lumper; sensoriamento remoto; soil sampling cost; sampling strategy; PhDpaper1},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02},
Url = {http://www.itc.nl/~rossiter/teach/ssm/SSM_LectureNotes2.pdf}
}
@Conference{Rossiter1994,
Title = {Data sources for land evaluation},
Author = {David G. Rossiter},
Booktitle = {Land evaluation},
Year = {1994},
File = {Rossiter1994.pdf:Rossiter1994.pdf:PDF},
Institution = {Cornell University},
Keywords = {soil survey;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Inproceedings{RoudierEtAl2012,
Title = {A conditioned {L}atin hypercube sampling algorithm incorporating operational constraints},
Author = {Roudier, Pierre and Beaudette, D E and Hewitt, A E},
Booktitle = {Digital soil assessments and beyond: proceedings of the 5th global workshop on digital soil mapping},
Editor = {Budiman Minasny and Brendan P. Malone and Alex B. McBratney},
Pages = {227-231},
Publisher = {CRC Press},
Year = {2012},
Address = {Sydney},
File = {RoudierEtAl2012.pdf:RoudierEtAl2012.pdf:PDF},
Keywords = {Sampling; Pedometrics; DSM; Design; Optimization; Access;},
Owner = {alessandro}
}
@Article{RoyleEtAl1998,
Title = {An algorithm for the construction of spatial coverage designs with implementation in {SPLUS}},
Author = {Royle, J. Andrew and Nychka, Doug},
Journal = {Computers \& Geosciences},
Pages = {479-488},
Volume = {24},
Year = {1998},
Month = {Jun},
Number = {5},
Doi = {10.1016/s0098-3004(98)00020-x},
File = {RoyleEtAl1998.pdf:RoyleEtAl1998.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Sampling; Pedometrics; DSM; Optimization; Design;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{Rozeboom1960,
Title = {The fallacy of the null-hypothesis significance test},
Author = {Rozeboom, William W.},
Year = {1960},
File = {Rozeboom1960.pdf:Rozeboom1960.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.22}
}
@Article{RumpelEtAl2006,
Title = {Alteration of soil organic matter following treatment with hydro?uoric acid (HF)},
Author = {C. Rumpel and N. Rabia and S. Derenne and K. Quenea and K. Eusterhues and I. Kögel-Knabner and A. Mariotti},
Journal = {Organic Geochemistry},
Pages = {1437?1451},
Volume = {37},
Year = {2006},
Abstract = {of organic matter with increasing degree of humi?cation was examined using four horizons of a forest humus pro?le. The aim was to determine whether HF treatment alters pristine organic matter or not. The conceptual approach included elemental and isotopic analyses of the L, Of, Oh and Ah horizons of a Dystric Cambisol under forest before and after treatment with 2% and 10% HF. The chemical composition of the bulk organic matter was analysed using 13 C CPMAS NMR spectroscopy, Fourier transformed infrared (IR) spectroscopy and pyrolysis coupled to gas chromatography and mass spectrometry (GC/MS). The lignin and non-cellulosic sugar components were characterised by wet chemical analysis. Carbon loss after HF treatment was between 7% and 23% of initial C and nitrogen loss between 14% and 27% of initial N. The HF concentration (2% and 10%) in?uenced the C and N concentration of the HF residue but in most cases not the C and N loss. No change in the isotopic signatures (d 13 C and d 15 N) were apparent. The bulk chemical composition as seen by 13 C CPMAS NMR spectroscopy did not change after HF treatment. (FTIR) spectra of organic horizons were also not a?ected but analysis of organic matter of mineral rich Oh and Ah horizons became possible only after the treatment. These two meth- ods were not sensitive enough to record changes in OM composition induced by the HF treatment. Pyrolysis GC/MS showed, in agreement with the wet chemical analysis of non-cellulosic sugars, that some change occurred in the quantity and compo- sition of these saccharides. Lignin analysis suggested that some changes occurred in the composition of the molecule.},
Doi = {10.1016/j.orggeochem.2006.07.001},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Running2012,
Title = {A measurable planetary boundary for the biosphere},
Author = {Running, Steven W.},
Journal = {Science},
Pages = {1458-1459},
Volume = {337},
Year = {2012},
Number = {6101},
Doi = {10.1126/science.1227620},
Eprint = {http://www.sciencemag.org/content/337/6101/1458.full.pdf},
File = {Running2012.pdf:Running2012.pdf:PDF},
Keywords = {sustainability; land use change; climate change; biodiversity; population growth;},
Url = {http://www.sciencemag.org/content/337/6101/1458.short}
}
@Book{RusselEtAl2010,
Title = {Artificial intelligence: a modern approach},
Address = {Upper Saddle River},
Author = {Russel, Stuart and Norvig, Peter},
Pages = {1132},
Publisher = {Prentice Hall},
Year = {2010},
File = {RusselEtAl2010.pdf:RusselEtAl2010.pdf:PDF},
Keywords = {Heuristic;},
Owner = {alessandro}
}
@Article{Russell1932,
Title = {How to become a man of genius},
Author = {Bertrand Russell},
Journal = {Hearst newspapers column},
Year = {1932},
Month = {12},
Keywords = {philosophy;},
Owner = {pccli},
Timestamp = {2011.12.28},
Url = {http://www.intelectu.com/intelectu_archive_win_07_09.html}
}
@Article{Russo1984,
Title = {Design of an optimal sampling network for estimating the variogram},
Author = {Russo, David},
Journal = {Soil Science Society of America Journal},
Pages = {708-716},
Volume = {48},
Year = {1984},
Number = {4},
Doi = {10.2136/sssaj1984.03615995004800040003x},
File = {Russo1984.pdf:Soil Science Society of America Journal/1977_1986/Russo1984.pdf:PDF},
ISSN = {0361-5995},
Keywords = {Spatial; Sampling; Design; Optimization; Pedometrics; DSM; Starting; Sample; Pattern;},
Owner = {alessandro},
Publisher = {Soil Science Society of America}
}
@Article{RussoEtAl1988,
Title = {Effect of the sampling network on estimates of the covariance function of stationary fields},
Author = {Russo, David and Jury, William A.},
Journal = {Soil Science Society of America Journal},
Pages = {1228},
Volume = {52},
Year = {1988},
Number = {5},
Doi = {10.2136/sssaj1988.03615995005200050004x},
File = {RussoEtAl1988.pdf:RussoEtAl1988.pdf:PDF},
ISSN = {0361-5995},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro},
Publisher = {Soil Science Society of America}
}
@Article{Ryder2003,
Title = {Local soil knowledge and site suitability evaluation in the Dominican Republic},
Author = {Roy Ryder},
Journal = {Geoderma},
Pages = {289?305},
Volume = {111},
Year = {2003},
Abstract = {Mounting evidence shows that soil surveyors can learn a great deal from traditional farmers. Most studies of local soil knowledge, however, focus on unique cultural groups with centuries of accumulated knowledge of their environmental surroundings. Many farmers in the developing world are non-indigenous peasants who do not benefit from a rich cultural tradition. This paper examines peasant agriculture and awareness of soil in the Central Cordillera of the Dominican Republic. Information on soils was extracted from a geo-coded environmental database compiled by the Dominican Republic?s State Secretariat for Agriculture and processed to produce site suitability ratings for six land uses (coffee, beans, grazing, pigeon peas, garlic, and rice). Farmer information dealing with environmental perception, agricultural technology, and agricultural decision-making factors was obtained in a field survey of 80 farmers. Survey statistics on technology were used to derive a numerical index of modern agricultural technology while factors conditioning choice of principal enterprise were examined using point score analysis. It is shown that peasant farmers in the Dominican Republic use a blend of modern and traditional methods that is neither productive nor ecologically sensitive. In addition, their soil taxonomy is comparatively unsophisticated. On the other hand, this study demonstrates that their empirical knowledge of site suitability is of great value for verification of scientific site suitability ratings derived from parametric indices. It is concluded that the participatory approach to agricultural research and development is particularly relevant in soil survey.},
File = {:Geoderma/Ryder_Geoderma_2003.pdf:PDF},
Keywords = {Local soil knowledge; Ethnopedology; Land evaluation; Environmental perception; Participatory soil survey; Dominican Republic},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706102002690}
}
@Article{SaabEtAl2011,
Title = {Information as ontologization},
Author = {Saab, David J. and Riss, Uwe V.},
Journal = {Journal of the American Society for Information Science and Technology},
Pages = {2236-2246},
Volume = {62},
Year = {2011},
Month = {Aug},
Number = {11},
Doi = {10.1002/asi.21615},
File = {SaabEtAl2011.pdf:SaabEtAl2011.pdf:PDF},
ISSN = {1532-2882},
Publisher = {Wiley-Blackwell}
}
@Conference{Saccol2012,
Title = {Abordagem Entidade Relacionamento - Fundamentos de BD},
Author = {Deise Saccol},
Year = {2012},
Note = {Notas de Aula baseadas no livro Projeto de Banco de Dados de Carlos Alberto Heuser},
File = {Saccol2012.pdf:Saccol2012.pdf:PDF},
Keywords = {database;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.01.10}
}
@Techreport{Sachs2001,
Title = {Image resampling},
Address = {Cambridge},
Author = {Jonathan Sachs},
Pages = {14},
Publisher = {Digital Light and Color},
Year = {2001},
File = {Sachs2001.pdf:Sachs2001.pdf:PDF},
Keywords = {Resampling;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04},
Url = {http://www.dl-c.com/Resampling.pdf}
}
@Article{SadeghiEtAl2008,
Title = {Field evaluation of the Hillslope Erosion Model (HEM) in Iran},
Author = {S.H.R. Sadeghi and M. Azari and B. GhaderiVangah},
Journal = {Biosystems Engineering},
Pages = {304-311},
Volume = {99},
Year = {2008},
Abstract = {The development of improved soil erosion and sediment yield predictions technology is required to provide watershed stakeholders with the tools they need to evaluate the impact of various management strategies to plan for the optimum use of the land. In this paper, the Hillslope Erosion Model (HEM) was applied to predict the sediment yield from two sets of plots that represented open grazing and manually harvested treatments in Talesh rangelands, Guilan Province, Iran. The model performance was evaluated by comparing predicted and measured sediment yield in standard plots resulting from 24 natural rainfall events. The results showed that the calibration of the default value of erodibility parameter did not improve the initial efficacy of the model, while the development of an appropriate regression function was required to obtain accurate estimates on sediment yield from the study plots. The results of the analyses showed the potential of the model to predict sediment yield for the open grazing and cultivated treatments with coefficients of determination of 0.96 and 0.98, and estimation errors of 20.78% and 47.00%, respectively. The predicted results therefore showed that the HEM could be used as a major tool to estimate sediment yield at plot scale in rangelands.},
Doi = {10.1016/j.biosystemseng.2007.10.001},
File = {SadeghiEtAl2008.pdf:Biosystems Engineering/SadeghiEtAl2008.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {27.07.2010}
}
@Article{SaejiewEtAl2004,
Title = {Critical coagulation concentration of paddy soil clays in sodium?ferrous iron electrolyte},
Author = {Atinut Saejiew and Olivier Grunberger and Somsri Arunin and Fabienne Favre and Daniel Tessier and Pascal Boivin},
Journal = {Soil Science Society of America Journal},
Pages = {789-794},
Volume = {68},
Year = {2004},
Abstract = {Sodium affected rice (Oryza sativa L.)-cropped fields are very common. Due to their high exchangeable Na percentage, clay dispersion is one of the major risks for these soils when they are flooded. During flooding, Fe2+ may become a major cation due to reductive dissolution of Fe oxides, but the flocculation effect of Fe2+ is not known. In this paper, the effect of Fe2+ on clay flocculation is studied by establishing critical coagulation concentration (CCC) curves of days extracted from a paddy soil of Northeast Thailand. The effect of Na-Fe2+ and Na-Ca electrolytes on the CCC values is compared for sodium adsorption ratio (SAR) values ranging from 0 to 40 and total electrolyte concentration (TEC) ranging from 0.5 to 10 mmol L-1. The extracted day is a mixture of kaolinite and smectite but only the smectite and some poorly ordered kaolinite could be dispersed. The CCC values largely reflected the behavior of smectite, in agreement with previous studies. The CCC values were equal for electrolytes with Fe2+ or Ca2+ cations, suggesting that Fe2+strongly adsorbs on smectite exchange sites and behaves similarly to Ca2+. The Fe2+ concentration needed to flocculate the clays was at maximum 0.6 mmol L-1 for the most dispersive electrolytes, which is a common concentration in flooded rice fields. Reductive dissolution of Fe can protect sodic soils from clay dispersion upon flooded rice cropping.},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {http://horizon.documentation.ird.fr/exl-doc/pleins_textes/pleins_textes_7/sous_copyright/010033585.pdf}
}
@Conference{SAGA2012,
Author = {SAGA},
Year = {2012},
File = {SAGA2012.pdf:SAGA2012.pdf:PDF},
Keywords = {morphometric protection index;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.21}
}
@Manual{SAGAGIS2012,
Title = {{SAGA GIS} - {S}ystem for {A}utomated {G}eoscientific {A}nalyses},
Address = {Germany},
Author = {{SAGA Development Team}},
Year = {2012},
Abstract = {SAGA GIS is a FOSS which is, besides common GIS tasks, specialized on digital terrain analysis. The software provides a lot of analysis tools which you will not find in any other software package, e.g. for morphometric or hydrologic analysis. SAGA supports various raster and vector (including LAS and SAGA point clouds) formats, DEM generation, analysis and visualization (e.g. 3D point cloud viewer, bare earth extraction). One of SAGA's main objectives is to provide scientists an easy to use API to implement own algorithms (C++) but it is also used in commercial environments. SAGA provides a GUI and can be scripted in various ways (e.g. batch/bash, python). SAGA runs on Windows, Linux and FreeBSD, both 32 and 64bit. The software is licensed under the GPL (GUI, most of the modules) and the LGPL (API).},
Citeulike-article-id = {3997843},
Citeulike-linkout-0 = {http://www.saga-gis.org/},
Keywords = {gis; saga; tesis; investigacion; redemds; GIS, Terrain Analysis, Visualization, Raster, Vector, Pointcloud, LAS},
Posted-at = {2009-02-02 17:27:47},
Priority = {1},
Url = {http://www.saga-gis.org/}
}
@Article{SaitoEtAl2000,
Title = {Geostatistical Interpolation of Positively Skewed and Censored Data in a Dioxin-Contaminated Site},
Author = {Saito, Hirotaka and Goovaerts, Pierre},
Journal = {Environmental Science and Technology},
Pages = {4228–4235},
Volume = {34},
Year = {2000},
Month = {Oct},
Number = {19},
Doi = {10.1021/es991450y},
File = {SaitoEtAl2000.pdf:SaitoEtAl2000.pdf:PDF},
ISSN = {1520-5851},
Keywords = {lognormal; back-transformation; transGaussian;},
Owner = {alessandro},
Publisher = {American Chemical Society (ACS)}
}
@Article{SalatiEtAl2008,
Title = {Studying soil organic matter using 13 C CP-MAS NMR: The effect of soil chemical pre-treatments on spectra quality and representativity},
Author = {Silvia Salati and Fabrizio Adani and Cesare Cosentino and Giacomo Torri},
Journal = {Chemosphere},
Pages = {2092-2098},
Volume = {70},
Year = {2008},
Abstract = {13 C CP-MAS NMR spectroscopy is a technique that has proved to be useful in studying soil organic matter (SOM). Nevertheless, NMR spectra exhibit a weak signal and have very low resolution due to: the low natural abundance of 13 C (1.1 % of C) in SOM, the generally low SOM content of soils, and the presence of paramagnetic impurities. This paper studies the effects of soil chemical pre-treatments on 13 CP-MAS NMR spectra quality and spectra representativity i.e. soil C mass balance. After chemical pre-treatment to increase total organic carbon (TOC) content and C/Fe ratio, eight soils characterized by different levels of organic carbon content and C/Fe ratios were studied using 13 CP-MAS NMR. Moreover, where chemical treatments were not applicable due to high carbon losses, the number of 13 CP-MAS NMR scans was increased in order to obtain satisfactory spectra. Results show that chemical pre-treatment of soils with C/Fe > 1 caused high C losses. Bulk soils were therefore studied by increasing the number of 13 CP-MAS NMR scans. Acceptable spectra were obtained from 8K scans (1K = 1024 transient). On the other hand, even when a large number of scan (32K) are used, soil with C/Fe < 1 cannot be studied. As these soils are characterized by low C losses after HCl treatments (range of 2.9?25.4%), a pre-treatment of at least 1.39 mol l-1 HCl removes excess Fe and at the same time increases C/Fe ratio resulting in 32K scans providing good spectra.},
Doi = {10.1016/j.chemosphere.2007.08.067},
File = {:Chemosphere/Salati et al_Chemosphere_2008.PDF:PDF},
Keywords = {13 C cross-polarization magic angle spinning NMR spectroscopy; Chemical treatment; Organic matter; Soils},
Owner = {Administrador},
Timestamp = {2010.12.29}
}
@Article{EtAl2007a,
Title = {Pedodiversity, connectance and spatial variability of soil properties, what is the relationship?},
Author = {A. Saldaña and J.J. Ibáñez},
Journal = {Ecological Modelling},
Pages = {342-352},
Volume = {208},
Year = {2007},
Abstract = {The concept of diversity and its measurement is becoming increasingly attractive to soil scientists. This theme is explored using a terrace chronosequence in the Henares River valley, NE Madrid. Pedodiversity was computed at different hierarchical levels (Great Group, Subgroup and family of Soil Taxonomy) using appropriate indices including abundance and the Shannon diversity index. Taxonomic pedodiversity, i.e., the diversity of soil types, increased with time (from low to high terraces) at high hierarchical levels but no clear relationship was found at family level. Richness-area analysis showed that a logarithmic function fitted data from the low and middle terraces, while the high terrace data could be fitted with a power model. The geostatistical analysis revealed a decrease in the variability of soil properties from young to old deposits. This study showed that, at the Henares site, diversity and spatial variability of soil properties are not synonymous concepts. Indeed, the terrace with the highest taxonomic pedodiversity at Great Group and Subgroup levels, showed a lowspatial variability of soil properties. Also, the same terrace exhibited the lowest connectance values. A non-linear dynamical system approach can be useful to explain these apparently contradictory results.},
Doi = {10.1016/j.ecolmodel.2007.06.006},
File = {:Ecological Modelling/Saldaña & Ibáñez_Ecol Model_2007.pdf:PDF},
Keywords = {Spatial variability, Pedodiversity, Complexity, Connectance, Chronosequence, NDS hypotheses},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{SalehiEtAl2003,
Title = {Comparison of soil variability in a detailed and a reconnaissance soil map in central Iran},
Author = {Mohammad Hassan Salehi and Mostafa Karimian Eghbal and Hossein Khademi},
Journal = {Geoderma},
Pages = {45 - 56},
Volume = {111},
Year = {2003},
Number = {1?2},
Abstract = {Quality of soil maps is a prerequisite for rational land use and soil management. To assess the accuracy of the existing reconnaissance soil map (1:50,000) of the Chaharmahal Bakhtiari province, Iran, a second-order soil survey was conducted. Using aerial photo interpretation, profile description, and field observations, a detailed soil map (1:20,000) was prepared. Then, 85 pedons were described and samples were taken for laboratory analyses. The location of pedons was determined with a Global Positioning System (GPS) and then marked on both soil maps using ILWIS software. Properties of the surface horizons including percentage of gravel, clay, sand, silt, CaCO3 equivalent, organic matter, and the thickness of A horizon were determined. Although detailed soil map units were more homogenous, purity of map units at family and series levels was lower than those expected in American Soil Survey Manual. Taxonomic purity at series level was 18.75% to 33.3% and 0% to 1.3% for detailed and reconnaissance soil maps, respectively. With respect to similar soils, interpretive purity could improve to 75% in detailed soil map. For all the surface soil properties except organic matter, the detailed soil map had within-map unit variances that were smaller than the total variance, whereas reconnaissance soil map variance remained high. Soil classification in both the detailed and the reconnaissance mapping units accounted for 5% to 45% and 1.1% to 27% of the total variance for these properties. Sampling demand to predict mean values was much larger in the reconnaissance soil map for most of the topsoil properties. Laboratory studies showed that the detailed soil map units in similar physiographic units could have different soils and vice versa. It appears that the definition of mapping units based on guidelines by Soil Survey Manual is rather optimistic and does not have sufficient reliability for using in sustainable agriculture.},
Doi = {10.1016/S0016-7061(02)00252-5},
File = {SalehiEtAl2003.pdf:Geoderma/SalehiEtAl2003.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Soil variability, purity},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706102002525}
}
@Book{Salgado-Labouriau2004,
Title = {História ecológica da Terra},
Address = {São Paulo},
Author = {Maria Lea Salgado-Labouriau},
Pages = {307},
Publisher = {Blucher},
Year = {2004},
Edition = {2},
Keywords = {geologia},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.29}
}
@Book{SaltelliEtAl2008,
Title = {Global sensitivity analysis - the primer},
Author = {Andrea Saltelli and Marco Ratto and Terry Andres and Francesca Campolongo and Jessica Cariboni and Debora Gatelli and Michaela Saisana and Stefano Tarantola},
Publisher = {Chichester, England: John Wiley and Sons},
Year = {2008},
File = {SaltelliEtAl2008.pdf:Book/SaltelliEtAl2008.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@Article{SaltelliEtAl2000,
Title = {Sensitivity analysis as an ingredient of modeling},
Author = {Saltelli, A. and Tarantola, S. and Campolongo, F.},
Journal = {Statistical Science},
Pages = {377-395},
Volume = {15},
Year = {2000},
Number = {4},
Abstract = {We explore the tasks where sensitivity analysis (SA) can be useful and try to assess the relevance of SA within the modeling process. We suggest that SA could considerably assist in the use of models, by providing objective criteria of judgement for different phases of the model-building process: model identification and discrimination; model calibration; model corroboration. We review some new global quantitative SA methods and suggest that these might enlarge the scope for sensitivity analysis in computational and statistical modeling practice. Among the advantages of the new methods are their robustness, model independence and computational convenience. The discussion is based on worked examples.},
Copyright = {Copyright © 2000 Institute of Mathematical Statistics},
File = {SaltelliEtAl2000.pdf:SaltelliEtAl2000.pdf:PDF},
ISSN = {08834237},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Nov., 2000},
Keywords = {redemds},
Language = {English},
Publisher = {Institute of Mathematical Statistics},
Url = {http://www.jstor.org/stable/2676831}
}
@Book{SaltelliEtAl2004,
Title = {Sensitivity analysis in practice - a guide to assessing scientific models},
Address = {Chichester},
Author = {Andrea Saltelli and Stefano Tarantola and Francesca Campolongo and Marco Ratto},
Pages = {219},
Publisher = {John Wiley and Sons},
Year = {2004},
Edition = {1},
File = {SaltelliEtAl2004.pdf:Book/SaltelliEtAl2004.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@Article{SampaioEtAl2012,
Title = {Comparação entre métodos para determinação de matéria orgânica em amostras de solo mensuradas por volume e massa},
Author = {Thalita Fernanda Sampaio and Dirceu Maximino Fernandes and Iraê Amaral Guerrini and Julio Cesar Bogiani and Clarice Backes},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {517-523},
Volume = {36},
Year = {2012},
Abstract = {O uso da massa (g) ou do volume (cm3) como medida da quantidade de solo para determinação do teor de C orgânico do solo (COS), bem como a utilização de diferentes métodos de determinações analíticas empregados para essa mesma finalidade, pode alterar diretamente a interpretação dos resultados. Este trabalho teve como objetivo comparar os métodos colorimétricos e titulométricos de determinação de matéria orgânica em três solos com diferentes texturas, tomando-se as amostras por massa (pesagem) e por volume (cachimbagem). Houve variação no teor de COS entre os métodos estudados para um mesmo solo. O uso da massa e do volume alterou diretamente a interpretação dos teores de matéria orgânica no solo. Há variações nos métodos de determinação de COS entre solos de diferentes texturas.},
File = {SampaioEtAl2012.pdf:Revista Brasileira de Ciência do Solo/SampaioEtAl2012.pdf:PDF},
Keywords = {carbono orgânico, colorimetria, titulometria, textura de solo, comparação de métodos},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.04}
}
@Techreport{Samuel-Rosa2014a,
Title = {The {S}anta {M}aria dataset},
Address = {Seropédica},
Author = {Samuel-Rosa, Alessandro},
Pages = {6},
Publisher = {soil-scientist.net},
Year = {2015}
}
@Electronic{Samuel-Rosa2015,
Title = {soil-scientist.net - {P}edologia, {E}statística e {I}nformática},
Author = {Samuel-Rosa, Alessandro},
Language = {PT-BR},
Month = {May},
Url = {http://www.soil-scientist.net},
Year = {2015}
}
@Manual{Samuel-Rosa2014,
Title = {pedometrics - Pedometric Tools and Techniques},
Author = {Alessandro Samuel-Rosa},
Year = {2014},
Note = {{R} package version 0.1-9},
Keywords = {PhDpaper1},
Url = {http://cran.at.r-project.org/web/packages/pedometrics/index.html}
}
@Manual{Samuel-Rosa2014b,
Title = {pedometrics: pedometric tools and techniques},
Author = {Samuel-Rosa, Alessandro},
Year = {2014},
Note = {{R} package version 0.4-1},
Owner = {alessandro},
Url = {http://CRAN.R-project.org/package=pedometrics}
}
@Mastersthesis{SamuelRosa2012,
Title = {Spatial prediction functions of soil properties},
Address = {Santa Maria},
Author = {Samuel-Rosa, Alessandro},
Pages = {201},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2012},
File = {SamuelRosa2012.pdf:my_publications/2012/SamuelRosa2012.pdf:PDF},
Institution = {Federal University of Santa Maria},
Keywords = {DNOS, Santa Maria, redemds; saga gis; RefBib},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.12},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Misc{Samuel-Rosa2012,
Title = {Notas de aula da disciplina de Sensoriamento Remoto},
Author = {Alessandro Samuel-Rosa},
Note = {Professor Mauro Homem Antunes Curso de Pós-Graduação em Agronomia-Ciência do Solo da UFRRJ},
Year = {2012},
File = {Samuel-Rosa2012.pdf:Samuel-Rosa2012.pdf:PDF},
Owner = {alessandro},
Timestamp = {28.11.2013}
}
@Monograph{Samuel-Rosa2009,
Title = {Uso da terra no {R}ebordo do {P}lanalto do {R}io {G}rande do {S}ul},
Address = {Santa Maria},
Author = {Samuel-Rosa, Alessandro},
School = {Federal University of Santa Maria},
Year = {2009},
File = {Samuel-Rosa2009.pdf:Samuel-Rosa2009.pdf:PDF},
Keywords = {dnos},
Owner = {Alessandro Samuel-Rosa},
Pages = {23},
Timestamp = {2012.03.12}
}
@Inproceedings{Samuel-RosaEtAl2014,
Title = {Evaluation of freely available ancillary data used for detailed soil mapping in {B}razil},
Author = {Alessandro Samuel-Rosa and Lúcia Anjos and Gustavo Vasques and Gerard Heuvelink},
Booktitle = {EGU General Assembly},
Year = {2014},
File = {Samuel-RosaEtAl2014.pdf:my_publications/2014/EGU/Samuel-RosaEtAl2014.pdf:PDF},
Keywords = {PhDpaper1},
Url = {http://meetingorganizer.copernicus.org/EGU2014/EGU2014-769-1.pdf}
}
@Inproceedings{Samuel-RosaEtAl2014b,
Title = {An approach to help formalizing the purposive sampling strategy of classical soil surveys},
Author = {Alessandro Samuel-Rosa and Lucia H C Anjos and Gustavo M Vasques},
Booktitle = {Proceedings of the 20th World Congress of Soil Science},
Year = {2014},
Address = {Jeju},
File = {Samuel-RosaEtAl2014b.pdf:Samuel-RosaEtAl2014b.pdf:PDF},
Keywords = {Pedometrics; Sampling strategy; Point pattern analysis; Expert knowledge; Means-focused motivation; PhDpaper1},
Url = {https://www.researchgate.net/publication/264080772_An_approach_to_help_formalizing_the_purposive_sampling_strategy_of_classical_soil_surveys}
}
@Inproceedings{SamuelRosaEtAl2012b,
Title = {Contribuição à construção de modelos de predição de propriedades do solo},
Author = {Alessandro Samuel-Rosa and Lúcia Helena Cuha Anjos and Gustavo Mattos Vasques},
Booktitle = {Anais do VII Fórum da Pós-graduação da UFRRJ},
Pages = {1},
Year = {2012},
Address = {Seropédica},
Institution = {Universidade Federal Rural do Rio de Janeiro},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.09},
Url = {https://sites.google.com/site/forumposgradufrrj/}
}
@Inproceedings{Samuel-RosaEtAl2013c,
Title = {Identifying and correcting oblique striping in the {T}opodata digital elevation model},
Author = {Alessandro Samuel-Rosa and Anjos, L H C and Vasques, G M and Antunes, M A H and Dalmolin, R S D},
Booktitle = {XXXIV Brazilian Congress of Soil Science},
Year = {2013},
File = {Samuel-RosaEtAl2013c.pdf:my_publications/2013/CBCS/Samuel-RosaEtAl2013c.pdf:PDF},
Keywords = {SRTM downscaling; DEM warping; 2D Fast Fourier Transform; PhDpaper1},
Owner = {alessandro},
Timestamp = {18.02.2014},
Url = {http://goo.gl/3zQmfq}
}
@Article{SamuelRosaEtAl2011,
Title = {Characterization of soil covers in closed landfill sites with (geo)statistical tools},
Author = {Alessandro Samuel-Rosa and Ricardo S.D. Dalmolin and Fabrício Araújo Pedron},
Journal = {Engenharia Sanitaria e Ambiental},
Pages = {121-126},
Volume = {16},
Year = {2011},
Owner = {pccli},
Timestamp = {2012.01.12},
Url = {http://www.scielo.br/pdf/esa/v16n2/v16n2a04.pdf}
}
@Article{Samuel-RosaEtAl2009,
Title = {Edafic fauna in constructed soil, native pasture and annual handling farm},
Author = {Alessandro Samuel-Rosa and R. S. D. Dalmolin},
Journal = {Ciência Rural},
Pages = {913-917},
Volume = {39},
Year = {2009},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.25}
}
@Article{Samuel-RosaEtAl2012b,
Title = {A poluição causada por aterros de resíduos sólidos urbanos sobre os recursos hídricos},
Author = {Alessandro Samuel-Rosa and Ricardo Simão Diniz Dalmolin and André Carlos Cruz Copetti},
Journal = {Ciência e Natura},
Pages = {107-118},
Volume = {34},
Year = {2012},
Number = {1},
Doi = {10.5902/2179460X9357},
File = {:my_publications/2012/CienciaNatura/SamuelRosaEtAl2012.pdf:PDF},
Owner = {alessandro},
Timestamp = {2013.04.25}
}
@Inproceedings{Samuel-RosaEtAl2007,
Title = {Caracterização de solo construído sobre aterro de resíduos sólidos urbanos},
Author = {Alessandro Samuel-Rosa and Dalmolin, Ricardo Simão Diniz and Jessé Rodrigo Fink and Andressa Lauermann},
Booktitle = {XXXI Brazilian Congress of Soil Science},
Year = {2007},
File = {Samuel-RosaEtAl2007.pdf:my_publications/2007/XXXI CBCS_Gramado/Samuel-RosaEtAl2007.pdf:PDF},
Url = {https://www.researchgate.net/publication/260350784_Caracterizao_de_solo_construdo_sobre_aterro_de_resduos_slidos_urbanos}
}
@Inproceedings{Samuel-RosaEtAl2012,
Title = {Larger geologic complexity implies larger uncertainty},
Author = {Samuel-Rosa, Alessandro and Dalmolin, R. S. D. and Miguel, Pablo},
Booktitle = {Accuracy 2012 - International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences},
Editor = {Carlos Vieira and Vania Bogorny and Arthur Ribeiro Aquino},
Pages = {227-232},
Publisher = {Federal University of Santa Catarina / State University of Santa Catarina},
Year = {2012},
Address = {Florianópolis},
Volume = {10},
Institution = {Federal University of Santa Catarina and State University of Santa Catarina},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.18},
Url = {http://www.spatial-accuracy.org/Accuracy2012}
}
@Article{Samuel-RosaEtAl2013,
Title = {Building predictive models of soil particle-size distribution},
Author = {Alessandro Samuel-Rosa and Ricardo Simão Diniz Dalmolin and Pablo Miguel},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {422-430},
Volume = {37},
Year = {2013},
Number = {2},
Abstract = {Is it possible to build predictive models (PMs) of soil particle-size distribution (psd) in a region with complex geology and a young and unstable land-surface? The main objective of this study was to answer this question. A set of 339 soil samples from a small slope catchment in Southern Brazil was used to build PMs of psd in the surface soil layer. Multiple linear regression models were constructed using terrain attributes (elevation, slope, catchment area, convergence index, and topographic wetness index). The PMs explained more than half of the data variance. This performance is similar to (or even better than) that of the conventional soil mapping approach. For some size fractions, the PM performance can reach 70 %. Largest uncertainties were observed in geologically more complex areas. Therefore, significant improvements in the predictions can only be achieved if accurate geological data is made available. Meanwhile, PMs built on terrain attributes are efficient in predicting the particle-size distribution (psd) of soils in regions of complex geology.},
Doi = {10.1590/S0100-06832013000200013},
File = {Samuel-RosaEtAl2013.pdf:my_publications/2013/RBCS/Samuel-RosaEtAl2013.pdf:PDF},
ISSN = {0100-0683},
Keywords = {digital soil mapping, terrain attributes, multiple linear regression, cross-validation, additive log-ratio; PhDpaper1},
Owner = {alessandro},
Timestamp = {24.09.2013}
}
@Article{Samuel-RosaEtAl2013a,
Title = {The effect of intrinsic soil properties on soil quality assessments},
Author = {Alessandro Samuel-Rosa and Ricardo Simão Diniz Dalmolin and Pablo Miguel and Jovani Zalamena and Deborah Pinheiro Dick},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1236-1244},
Volume = {37},
Year = {2013},
Number = {5},
Doi = {10.1590/S0100-06832013000500013},
File = {Samuel-RosaEtAl2013a.pdf:my_publications/2013/RBCS/Samuel-RosaEtAl2013a.pdf:PDF},
Owner = {alessandro},
Timestamp = {28.11.2013}
}
@Article{Samuel-RosaEtAl2012a,
Title = {Abordagem integrada para avaliação de aterros encerrados},
Author = {Alessandro Samuel-Rosa and Ricardo Simão Diniz Dalmolin and Fabrício Araújo Pedron},
Journal = {Ciência e Natura},
Pages = {99-111},
Volume = {34},
Year = {2012},
Number = {2},
Doi = {10.5902/2179460X9344},
File = {Samuel-RosaEtAl2012a.pdf:my_publications/2012/CienciaNatura/Samuel-RosaEtAl2012a.pdf:PDF}
}
@Article{SamuelRosaEtAl2012a,
Title = {Integrated approach for evaluatIng closed landfIll sItes},
Author = {Alessandro Samuel-Rosa and Ricardo Simão Diniz Dalmolin and Pedron, Fabrício de Araújo},
Journal = {Ciência e Natura},
Pages = {99-111},
Volume = {34},
Year = {2012},
Number = {2},
File = {SamuelRosaEtAl2012a.pdf:my_publications/2012/CienciaNatura/SamuelRosaEtAl2012a.pdf:PDF},
Keywords = {National Policy on Solid Waste, leachate, environmental contamination, remediation},
Owner = {alessandro},
Timestamp = {02.10.2013},
Url = {http://cascavel.ufsm.br/revista_ccne/ojs/index.php/cienciaenatura/article/view/551}
}
@Inproceedings{Samuel-RosaEtAl2013b,
Title = {Use um gerenciador de referências bibliográficas!},
Author = {Alessandro Samuel-Rosa and Tiago Augusto Engel},
Booktitle = {XXXIV Congresso Brasileiro de Ciência do Solo},
Year = {2013},
File = {Samuel-RosaEtAl2013b.pdf:my_publications/2013/CBCS/Samuel-RosaEtAl2013b.pdf:PDF},
Url = {https://www.researchgate.net/publication/262487524_Use_um_Gerenciador_de_Referncias_Bibliogrficas!?ev=prf_pub}
}
@Article{Samuel-RosaEtAl2015,
Title = {Do more detailed environmental covariates deliver more accurate soil maps?},
Author = {Alessandro Samuel-Rosa and Gerard B M Heuvelink and Gustavo Mattos Vasques and Lúcia Helena Cunha Anjos},
Journal = {Geoderma},
Pages = {214-227},
Volume = {243-244},
Year = {2015},
Month = {April},
Doi = {10.1016/j.geoderma.2014.12.017},
File = {Samuel-RosaEtAl2015.pdf:Samuel-RosaEtAl2015.pdf:PDF}
}
@Inproceedings{Samuel-RosaEtAl2014a,
Title = {Spatial point pattern analysis of soil survey sampling locations},
Author = {Alessandro Samuel-Rosa and Gerard B M Heuvelink and Gustavo M Vasques and Lúcia H C Anjos},
Booktitle = {Proceedings of the 10th European Conference on Geostatistics for Environmental Applications},
Year = {2014},
Address = {Paris},
File = {Samuel-RosaEtAl2014a.pdf:Samuel-RosaEtAl2014a.pdf:PDF},
Url = {http://goo.gl/o9Hmky}
}
@Article{SamuelRosaEtAl2011a,
Title = {Land use in the {P}lateau {B}order of the state of {R}io {G}rande do {S}ul},
Author = {Alessandro Samuel-Rosa and Pablo Miguel and Ricardo Simão Diniz Dalmolin and Pedron, Fabrício Araújo},
Journal = {Ciência e Natura},
Pages = {161-173},
Volume = {33},
Year = {2011},
Abstract = {Utilizando imagens do aplicativo Google Earth Pro, foram descritos a ocupação e uso da terra numa pequena bacia hidrográfica na região do Rebordo do Planalto do Rio Grande do Sul. Os resultados mostram que, apesar da intensa substituição da vegetação nativa para o cultivo agropecuário, as mudanças ocorridas no uso da terra resultaram na regeneração da vegetação natural e atual predomínio de áreas florestadas. A sequência que melhor representa essas mudanças é: lavoura pecuáriacapoeira floresta. Os solos das áreas ocupadas por floresta natural são pedregosos e rasos, ao contrário das áreas sob cultivo. Isso indica que mapas de uso da terra devem ser utilizados na predição de características do solo em trabalhos de mapeamento digital. Além disso, as imagens disponibilizadas pelo aplicativo Google Earth Pro permitiram a discriminação adequada das classes de uso da terra, devendo ser utilizadas em trabalhos com essa finalidade. O mapa foi publicado na escala de 1:30.000.},
File = {SamuelRosaEtAl2011a.pdf:my_publications/2011/Ciência e Natura/SamuelRosaEtAl2011a.pdf:PDF},
Keywords = {DNOS, Santa Maria, redemds; PhDpaper1},
Owner = {pccli},
Timestamp = {2011.10.24},
Url = {http://cascavel.ufsm.br/revista_ccne/ojs/index.php/cienciaenatura/article/viewFile/542/404}
}
@Unpublished{Samuel-RosaEtAl2011,
Title = {Methods of soil organic matter determination in {S}outhern {B}razil},
Author = {Alessandro Samuel-Rosa and Douglas Adams Weiler and Sandro Giacomini},
Year = {2011}
}
@Article{SanbornEtAl1989,
Title = {Ferro-humic Podzols of coastal British Columbia: i. morphology, selected properties,},
Author = {P. Sanborn and L. M. Lavkulich},
Journal = {Soil Science Society of America Journal},
Pages = {511-517},
Volume = {53},
Year = {1989},
Abstract = {Ferro-Humic Podzols (Cryorthods and Cryochrepts) of loamy texture on western Vancouver Island, British Columbia, have distinctively high organic matter and sesquioxide concentrations and limited albic horizon development. Their properties and taxonomic status were evaluated in relation to Spodosols of other maritime regions. Oxalate-extractable Al concentrations (10?70 g kg?1) are comparable to those in podzolized soils containing tephra. Free Fe concentrations exceed 35 g kg?1 in most Bhs horizons, with approximately half in crystalline forms. Oxalate-extractable Si concentrations suggest a substantial allophane content in some Bhs horizons. Maximum C concentrations (110?180 g kg?1) occur at 0.5- to 2.0-m depth above root restricting layers or in channel-like features initiated by tree roots. The maximum organic C content (170 g kg?1) allowed by the Canadian classification for mineral soil horizons may be too restrictive. Clay concentrations are high enough to exclude some pedons of podzolic morphology from the Spodosols of the U.S. system of soil taxonomy. Adoption of a required (Alp + Fep)/clay ratio lower than the current minimum of 0.2 for spodic horizons in the U.S. system would provide a more realistic classification of these soils.},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVOThmZWZmN2YtYjBiYS00NGU3LTg3ZTUtMzY5YzljNWYxZjlj&hl=en&authkey=CJzcv5gH}
}
@Article{SanchezEtAl2009,
Title = {Digital soil map of the world},
Author = {P A Sanchez and S Ahamed and Florence Carré and Alfred E. Hartemink and Jonathan Hempel and Jeroen Huising and Philippe Lagacherie and Alex B McBratney and Neil J McKenzie and Maria Lourdes Mendonça-Santos and Budiman Minasny and Luca Montanarella and Peter Okoth and Cheryl A. Palm and Jeffrey D. Sachs and Keith D. Shepherd and Tor-Gunnar Vagen and Bernard Vanlauwe and Markus G. Walsh and Leigh A. Winowiecki and Gan lin Zhang},
Journal = {Science},
Pages = {680-681},
Volume = {325},
Year = {2009},
Abstract = {oils are increasingly recognized as major contributors to ecosystem services such as food production and climate regula- tion ( 1, 2), and demand for up-to-date and rel- evant soil information is soaring. But commu- nicating such information among diverse audi- ences remains challenging because of incon- sistent use of technical jargon, and outdated, imprecise methods. Also, spatial resolutions of soil maps for most parts of the world are too low to help with practical land management. While other earth sciences (e.g., climatol- ogy, geology) have become more quantitative and have taken advantage of the digi- tal revolution, conventional soil map- ping delineates space mostly according to qualitative criteria and renders maps using a series of polygons, which lim- its resolution. These maps do not ade- quately express the complexity of soils across a landscape in an easily under- standable way.},
File = {:Science/Sanchez et al_Science_2009.pdf:PDF},
Keywords = {globalsoilmap; redemds},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{SanchezEtAl2005,
Title = {Variabilidade espacial de propriedades de Latossolo e da produção de café em diferentes superfícies geomórficas},
Author = {Rodrigo B. Sanchez and José Marques.Júnior and Gener T. Pereira and Zigomar M. Souza},
Journal = {Revista Brasileira de Engenharia Agrícola e Ambiental},
Pages = {489-495},
Volume = {9},
Year = {2005},
Abstract = {Com o objetivo de avaliar a variabilidade espacial de propriedades do solo e produção de café em diferentes Superfícies Geomórficas (SG) na região do Alto Paranaíba, MG, instalaram-se duas malhas de 200 x 850 m com intervalos regulares de 50 m, com 68 pontos amostrais cada uma, sob cultivo de café. As amostras de solo foram coletadas na profundidade de 0-0,20 m, nos pontos de intercessão dessas malhas. A produção de café foi avaliada em duas colheitas de grãos em coco das plantas mais próximas da intercessão de linhas das malhas. Calcularam-se as estatísticas descritivas e realizou-se a análise geoestatística de propriedades do solo e produção da cultura de café. As propriedades químicas e granulométricas de solos intensamente manejados, possuem dependência do relevo, mesmo de pequena expressão. A produção de café apresentou dependência espacial em ambas as superfícies e maior variabilidade na SG II. Os limites entre as superfícies geomórficas podem representar limites de locais específicos de manejo.},
Keywords = {geoestatística, cafeicultura, agricultura de precisão},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://www.scientificcircle.com/pt/42342/variabilidade-espacial-propriedades-latossolo-producao-cafe/}
}
@Article{EtAl2002,
Title = {{Soil quality in Mediterranean mountain environments: effects of land use change}},
Author = {M. Sánchez-Marañón and M. Soriano and G. Delgado and R. Delgado},
Journal = {Soil Science Society of America Journal},
Pages = {948-958},
Volume = {66},
Year = {2002},
Abstract = {Unsuitable land use worldwide has led to environmental degradation. Land use effects on the environmental component of soil quality were assessed in 47 benchmark soils of three natural environments (Xerolls, Xerepts, and Cryepts) in southern Spain. Within each environment, soil groups with traditional land uses were compared with native sites. Soil quality changes were inferred by measuring the relative changes in chemical and physical soil properties. Irrigated terraces, rainfed cropland, and grassland, all within Xerepts, and grazed thyme scrub land were degraded with respect to native sites (significant differences at P < 0.05). In all cases, total porosity, macroporosity, and cation exchange capacity declined by more than 18% (?0.11 cm3 cm?3), 30% (?0.11 cm3 cm?3), and 48% [?10.5 cmol(+) kg?1], respectively. Except in irrigated terraces, soil erodibility increased by as much as 59% (+0.16 USLE factor). Substantial losses of soil organic C (37%, ?14.7 Mg ha?1), available water (52%, ?36.2 mm), total N (65%, ?1.7 Mg ha?1), and rooting depth (68%, ?39 cm) were also observed in grassland and thyme scrub land. These changes suggest adverse effects on environmental protection functions of soil because of soil compaction and/or elimination of structural binding agents. Scanning electron microscopy images confirmed these morphological changes in microaggregates. Similar changes did not occur in cropland and grassland within Cryepts or in planted pine forest land. Reforestation with pine (Pinus nigra Arnold, Pinus sylvestris L., and Pinus uncinata Mill. ex Mirb.) provided organic cements and fungal hyphae that reinforce soil aggregation as well as ecologically valuable humus. Because cropland and grassland were able to recover the natural soil properties without human activity, we deduce that Cryepts are resilient.},
Owner = {Administrador},
Timestamp = {2010.12.31},
Url = {https://www.crops.org/publications/sssaj/pdfs/66/3/948}
}
@Article{SantistebanEtAl2004,
Title = {Loss on ignition: a qualitative or quantitative method for organic matter and carbonate mineral content in sediments?},
Author = {Santisteban, J.I. and Mediavilla, R. and López-Pamo, E. and Dabrio, C.J. and Zapata, M.B.R. and García, M.J.G. and Castaño, S. and Martínez-Alfaro, P.E.},
Journal = {Journal of Paleolimnology},
Pages = {287-299},
Volume = {32},
Year = {2004},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.10},
Url = {http://www.springerlink.com/content/v335872l43j70176/}
}
@Electronic{SantosEtAl2011,
Title = {Universal Soil Classification structure - contribution from Brazil},
Address = {West Lafayette},
Author = {Humberto Gonçalves Santos and Anjos, L. H. C.},
HowPublished = {online},
Language = {en-EN},
Month = {05},
Organization = {IUSS and USDA-NRCS},
Url = {http://soils.usda.gov/technical/classification/},
Year = {2011},
File = {SantosEtAl2011.pdf:SantosEtAl2011.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.02}
}
@Techreport{SantosEtAl2003,
Title = {Proposta de revisão e atualização do Sistema Brasileiro de Classificação de Solos},
Author = {H. G. Santos and M. R. Coelho and L. H. C. Anjos and P. K. T. Jacomine and V. A. Oliveira and J. F. Lumbreras and J. B. Oliveira and A. P. Carvalho and P. J. Fasolo},
Pages = {56},
Year = {2003},
Number = {53},
Type = {Documentos},
Institution = {Rio de Janeiro: Embrapa Solos},
Keywords = {hístico; A húmico; espódico; nítico; plânico; glei; rúbrico; SiBCS},
Owner = {Administrador},
Timestamp = {2011.01.05},
Url = {http://www.cnps.embrapa.br/solosbr/pdfs/doc53_2003_revisao_sbcs.pdf}
}
@Book{SantosEtAl2013a,
Title = {Sistema {B}rasileiro de {C}lassifica\c{c}ão de {S}olos},
Address = {Brasília},
Author = {Santos, Humberto Gonçalves and Jacomine, Paulo Klinger Tito and Anjos, Lúcia Helena Cunha and Oliveira, Virlei Alvaro and Lumbreras, José Francisco and Coelho, Maurício Rizzato and Almeida, Jaime Antonio and Cunha, Tony Jarbas Ferreira and Oliveira, João Bertoldo},
Pages = {353},
Publisher = {Embrapa},
Year = {2013},
Edition = {3},
Keywords = {SiBCS; PhDpaper1},
Owner = {alessandro},
Timestamp = {2011.12.15},
Url = {http://200.20.158.8/blogs/sibcs/}
}
@Book{SantosEtAl2006,
Title = {Sistema {B}rasileiro de {C}lassifica\c{c}ão de {S}olos},
Address = {Rio de Janeiro},
Author = {H. G. Santos and P. K. T. Jacomine and Anjos, L. H. C. and Oliveira, V. A. and Oliveira, J. B. and Coelho, M. R. and Lumbreras, J. F. and Cunha, T. J. F.},
Pages = {306},
Publisher = {Embrapa Solos},
Year = {2006},
Edition = {2},
File = {SantosEtAl2006.pdf:Book/SantosEtAl2006.pdf:PDF},
Keywords = {SiBCS},
Owner = {pccli},
Timestamp = {2011.12.15},
Url = {http://200.20.158.8/blogs/sibcs/}
}
@Book{SantosEtAl1988,
Title = {Definição e notação de horizontes e camadas do solo},
Author = {Santos, Humberto Gonçalves dos and Marcelo Nunes Camargo and Jorge Olmos Iturri Larach and Paulo Klinger Tito Jacomine and Carvalho, Américo Pereira de},
Pages = {54},
Publisher = {EMBRAPA. Servico Nacional de Levantamento e Conservacao de Solos},
Year = {1988},
File = {SantosEtAl1988.pdf:SantosEtAl1988.pdf:PDF},
Keywords = {SiBCS;},
Url = {http://www.infoteca.cnptia.embrapa.br/handle/doc/338493}
}
@Article{SantosEtAl1998,
Title = {Evaluation of the average comparison tests in the {Pesquisa} {Agropecuária} {Brasileira} journal from 1980 to 1994},
Author = {Santos, J Wellington and Moreira, J Alencar Nunes and Beltrão, N E M},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {225-230},
Volume = {33},
Year = {1998},
Number = {3},
Abstract = {The choice of average comparison tests (ACT) is very important in the data analysis of experimental designs. Due to this fact, it was carried out a survey of the papers published in the Pesquisa AgropecuÆria Brasileira - PAB journal from 1980 to 1994 in which some type of ACT was used. The objective of this paper was to point up the growing problems of the indiscriminate use of the ACT applied to the statistical analysis in the papers published in this journal. The study was carried out using 628 papers, and the ACT were classified in the following categories: appropriate, not appropriate and parcially appropriate. As a consequence of this study, it was found that 57.01%, 31.53% and 11.46% of the surveyed papers applied the appropriate, not appropriate and parcially appropriate ACT, respectively.},
File = {SantosEtAl1998.pdf:SantosEtAl1998.pdf:PDF},
Keywords = {multiple comparison},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.13},
Url = {http://webnotes.sct.embrapa.br/pab/pab.nsf/ecd4ca3ff88efcfa032564cd004ea083/d58c8840b995fd88032568690075d75e/$FILE/PAB3796.pdf}
}
@Book{SantosEtAl2005,
Title = {Manual of soil description and sampling in the field},
Address = {Viçosa},
Author = {Raphael David Santos and Raimundo Costa Lemos and Humberto G Santos and J Carlos Ker and L H C Anjos},
Pages = {92},
Publisher = {Sociedade Brasileira de Ciência do Solo},
Year = {2005},
Edition = {5},
File = {SantosEtAl2005.pdf:SantosEtAl2005.pdf:PDF},
Keywords = {redemds; fao;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.12}
}
@Book{SantosEtAl2013,
Title = {Manual of soil description and sampling in the field},
Address = {Viçosa},
Author = {Raphael David Santos and Raimundo Costa Lemos and Humberto G Santos and J Carlos Ker and L H C Anjos and Sérgio Hideiti Shimizu},
Pages = {100},
Publisher = {Sociedade Brasileira de Ciência do Solo},
Year = {2013},
Edition = {6},
Keywords = {redemds; fao; usc;},
Owner = {alessandro},
Timestamp = {2012.03.12}
}
@Mastersthesis{Santos2010,
Title = {Arbuscular mycorrhizal fungi in dry forets ecosystems in north of {Minas Gerais}},
Address = {Seropédica},
Author = {Santos, Vera L Silva},
Pages = {68},
School = {Federal Rural University of Rio de Janeiro},
Year = {2010},
File = {Santos2010.pdf:Santos2010.pdf:PDF},
Keywords = {mata seca; redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.19},
Url = {http://goo.gl/sspOl}
}
@Article{SappingtonEtAl2005,
Title = {Quantifying landscape ruggedness for animal habitat analysis: A case study using bighorn sheep in the Mojave desert},
Author = {Sappington, J. M. and Longshore, K. M. and Thomson, D. B.},
Journal = {Journal of Wildlife Management},
Pages = {1419 -1426},
Volume = {71},
Year = {2005},
Number = {5},
Keywords = {vector ruggedness measure;},
Owner = {alessandro},
Timestamp = {29.05.2013}
}
@Inproceedings{Sargent2009,
Title = {Verification and validation of simulation models},
Author = {Robert G. Sargent},
Booktitle = {Proceedings of the 2009 Winter Simulation Conference},
Editor = {M. D. Rossetti, R. R. Hill, B. Johansson, A. Dunkin and R. G. Ingalls},
Year = {2009},
Abstract = {In this paper we discuss verification and validation of simulation models. Four different approaches to deciding model validity are described; two different paradigms that relate verification and validation to the model development process are presented; various validation techniques are defined; conceptual model validity, model verification, operational validity, and data validity are discussed; a way to document results is given; a recommended procedure for model validation is presented; and model accreditation is briefly discussed.},
File = {Sargent2009.pdf:Sargent2009.pdf:PDF},
Keywords = {dsm framework;},
Owner = {alessandro},
Timestamp = {2013.05.01},
Url = {http://www.informs-sim.org/wsc09papers/014.pdf}
}
@Manual{Sarkar2013,
Title = {lattice: Lattice Graphics},
Address = {Viena},
Author = {Deepayan Sarkar},
Pages = {157},
Publisher = {R Project},
Year = {2013},
Abstract = {Lattice is a powerful and elegant high-level data visualization system, with an emphasis on multivariate data, that is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.},
File = {Sarkar2013.pdf:Sarkar2013.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.02.20},
Url = {http://cran.r-project.org/web/packages/lattice/index.html}
}
@Book{Sarkar2008,
Title = {Lattice - Multivariate Data Visualization with {R}},
Address = {New York},
Author = {Sarkar, Deepayan},
Pages = {265},
Publisher = {Springer},
Year = {2008},
Series = {Use R!},
Doi = {10.1007/978-0-387-75969-2},
File = {Sarkar2008.pdf:Sarkar2008.pdf:PDF},
ISBN = {978-0-387-75968-5},
Owner = {alessandro}
}
@Conference{Sarofim2004,
Title = {Methods of uncertainty analysis},
Author = {Marcus C. Sarofim},
Year = {2004},
File = {Sarofim2004.pdf:conference/Sarofim2004.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@Article{Sartori2009,
Title = {Geology and geomorfology of {S}anta {M}aria},
Author = {Sartori, P L P},
Journal = {Ciência e Ambiente},
Pages = {19-42},
Volume = {38},
Year = {2009},
Keywords = {caturrita; PhDpaper1},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.30},
Url = {http://w3.ufsm.br/cienciaeambiente/resenha.php?IDResenha=397}
}
@InCollection{SaundersEtAl2006,
Title = {Incorporating classification trees into a pedogenic understanding raster classification methodology, Green River basin, Wyoming, USA},
Author = {A.M. Saunders and J.L. Boettinger},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {28},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {389 - 399, 620},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {We demonstrate that the pedogenic understanding raster classification (PURC) approach can be transferred to a new soil survey project area and that classification tree analysis is a viable alternative to a knowledge-based decision tree for predicting the distribution of soil classes. The new area is in the Green River Basin of Wyoming, USA, which has greater variability in parent material, lower erosion rates and a colder climate than the Powder River Basin of Johnson County, Wyoming, where the PURC approach was developed. There is also a lack of existing soil survey data within or adjacent to the new study area. Topographic data derived from digital elevation models (DEMs) and various band combinations and ratios of Landsat 7 remotely sensed spectral data were selected to represent soil-forming factors. Unsupervised classification techniques were used in the preliminary stage of the methodology to recognise existing soil-landscape patterns and to develop an initial sampling plan. Knowledge-based classification and classification tree analysis were used to develop models predicting soil delineations and quantifying soil map unit concepts. The output images generated from the knowledge-based and classification tree models produced similar predictions of soil patterns across the landscape, with slightly different predictions of soil map units. However, the knowledge-based model was much more time-intensive than the classification trees, and failed to classify all pixels within the study area even after multiple iterations of the model. Classification tree analysis was successfully integrated into the methodology, and is more objective than the knowledge-based classification. Although finals maps were slightly different, both models were transparent and could be further refined as additional data becomes available or as land-use needs change.},
Doi = {DOI: 10.1016/S0166-2481(06)31028-8},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1C/2/ee58a9d32f3d32f5fcfca9983ce1aff2}
}
@Article{Saville2003,
Title = {Basic statistics and the inconsistency of multiple comparison procedures},
Author = {Saville, David J.},
Journal = {Canadian Journal of Experimental Psychology},
Pages = {167-175},
Volume = {57},
Year = {2003},
Number = {3},
Abstract = {This paper has two main themes. First, the various statistical measures used in this journal are summarized and their interrelationships described by way of a flow chart. These are the pooled standard deviation, the pooled variance or mean square error (MSE), the standard error of each treatment mean (SEM) and of the difference between two treatment means (SED), and the least difference between two means which is significant at (e.g.) the 5% level of significance (LSD(5%)). The last three measures can be displayed as vertical bars in graphs, and the relationship between the lengths of these bars is graphically illustrated. It is suggested that the LSD is the most useful of these three measures. Second, when the experimenter has no prior hypotheses to be tested using analysis of variance ?contrasts,? a multiple comparison procedure (MCP) that examines all pair-wise differences between treatment means, may be appropriate. In this paper a fictitious experimental data set is used to compare several well- known MCPs by focussing on a particular operating characteristic, the consistency of the results between an overall analysis of all treatments and an analysis of a subset of the experimental treatments. The procedurethat behaves best according to this criterion is the unrestricted least significant difference (LSD) procedure. The unrestricted LSD is therefore recommended with the proviso that it be used as a method of generating hypotheses to be tested in subsequent experimentation, not as a method that attempts to simultaneously formulate and test hypotheses.},
Doi = {10.1037/h0087423},
File = {Saville2003.pdf:Saville2003.pdf:PDF},
Keywords = {multiple comparison},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.15},
Url = {http://dx.doi.org/10.1037/h0087423}
}
@Article{Saville1990,
Title = {Multiple comparison procedures: the practical solution},
Author = {David J. Saville},
Journal = {The American Statistian},
Pages = {174-180},
Volume = {44},
Year = {1990},
Number = {2},
File = {Saville1990.pdf:Saville1990.pdf:PDF},
Keywords = {Comparisonwise error rate; Duncan's multiple range test; Experimentwise error rate; Power; Teaching of statistics; Tukey's honest significant difference procedure; Waller-Duncan k-ratio test},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.15},
Url = {http://www.jstor.org/stable/10.2307/2684163}
}
@Electronic{SBCS-NRS2011,
Title = {Histórico},
Author = {SBCS-NRS},
HowPublished = {Online},
Language = {Português},
Organization = {Sociedade Brasileira de Ciência do Solo - Núcleo Regional Sul},
Url = {http://www.sbcs-nrs.org.br/index.php?secao=historico},
Year = {2011},
Owner = {Administrador},
Timestamp = {2011.01.11}
}
@Article{ScarcigliaEtAl2005,
Title = {The interplay of geomorphic processes and soil development in an upland environment, Calabria, South Italy},
Author = {Fabio Scarciglia and Emilia Le Pera and Giuseppe Vecchio and Salvatore Critelli},
Journal = {Geomorphology},
Pages = {169-190},
Volume = {69},
Year = {2005},
Abstract = {Five representative soil profiles outcropping in the area around the Cecita Lake (Calabria, South Italy) were characterised by field work, chemical and mineralogical analyses, optical and scanning electron microscopy. Interactions among weathering, pedogenesis and geomorphic processes are emphasised, in an attempt to link the results obtained at different scales of observation. The important role of topography in controlling soil development or removal by erosive processes is discussed, in relation to the natural geomorphological context and the effects of human pressure. Both present-day and relict features were recognised in the studied soils, and discussed in terms of environmental conditions and climatic changes. The chemical composition of volcanoclastic components identified in some soil horizons with Andosol-like field appearance, coupled with pedogenetic features, contributed useful chronological constraints for the reconstruction of Late Quaternary geomorphic events.},
Doi = {10.1016/j.geomorph.2005.01.003},
File = {:Geomorphology/Scarciglia_Geomorphology_2005.pdf:PDF},
Keywords = {Pedogenesis; Geomorphic processes; Granites; Volcanic glass; Relict features; Late Quaternary},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Book{SchaetzlEtAl2005,
Title = {Soils - genesis and geomorphology},
Address = {New York},
Author = {R. Schaetzl and S. Anderson},
Pages = {817},
Publisher = {Cambridge University Press},
Year = {2005},
File = {SchaetzlEtAl2005.pdf:SchaetzlEtAl2005.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Article{ScharenbrochEtAl2005,
Title = {Distinguishing urban soils with physical, chemical, and biological properties},
Author = {Bryant C. Scharenbroch and John E. Lloyd and Jodi L. Johnson-Maynard},
Journal = {Pedobiologia},
Pages = {283-296},
Volume = {49},
Year = {2005},
Abstract = {Modi?cations associated with urban infrastructure directly impact soil properties. In particular, soil bulk density, microbial biomass and activity, and organic matter are impacted by anthropogenic activities. We proposed that urban soil properties are not only distinguishable from other systems, but also variable within types of landscapes in urban environments. We found soils from older urban landscapes (mean landscape age of 64 years) to be distinct from newer urban landscapes (mean landscape age of 9 years). Soil bulk densities were signi?cantly greater in newer (1.73 g cm 3 ) compared to older urban soils (1.41 g cm 3 ). Older urban soils had signi?cantly greater extractable phosphorous, weak Bray P (24%), strong Bray P (51%), and K (45%) than newer urban soils. Soil biological measures of nitrogen availability were signi?cantly greater in old compared to new urban soils, microbial biomass N (71%), potential C mineralization (20%), and potential N mineralization (83%). We found exponentially decreasing metabolic quotient values, qCO 2 , suggesting the impact of site disturbance decreases rapidly with time, and older urban landscapes are closer to steady-state conditions relative to younger urban landscapes. Total soil organic matter was signi?cantly greater (35%) in old urban soils. Fine POM was a larger contributor to total SOM in old compared to new urban soils. Particulate organic matter C/N ratios from older urban soils were less (coarse POM 14% less and ?ne POM 13% less) than newer urban soils. Of the soil forming factors, time played the most signi?cant role in soil physical, chemical, and biological differences. We believe that as time since initial disturbance increases, the impacts of urbanization are reduced by processes improving physical, biological, and chemical soil properties.},
Doi = {10.1016/j.pedobi.2004.12.002},
Keywords = {Urban soil; Bulk density; Particulate organic matter; Nitrogen mineralization; Microbial biomass and activity},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Scheffe1953,
Title = {A method for judging all contrasts in the analysis of variance},
Author = {Scheffé, Henry},
Journal = {Biometrika},
Pages = {87-104},
Volume = {40},
Year = {1953},
Number = {1/2},
Abstract = {A simple answer is found for the following question which has plagued the practice of the analysis of variance: Under the usual assumptions, if the conventional F-test of the hypothesis H: ?1 = ?2 = ... = ?k at the ? level of significance rejects H, what further inferences are valid about the contrasts among the ?i (beyond the inference that the values of the contrasts are not all zero)? Suppose the F-test has k - 1 and ? degrees of freedom. For any c1, ..., ck with ?k 1 ci = 0 write ? for the contrast ?k 1 ci?i, and write $\hat\theta$ and $\hat\sigma^2_\hat\theta$ for the usual estimates of ? and the variance of $\hat\theta$ . Then for the totality of contrasts, no matter what the true values of the ?'s, the probability is 1 - ? that they all satisfy $\hat\theta - S\hat\sigma_\hat\theta \leqslant \theta \leqslant \hat\theta + S\hat\sigma_\hat\theta,$ where S2 is (k - 1) times the upper ? point of the F-distribution with k - 1 and ? degrees of freedom. Suppose we say that the estimated contrast $\hat\theta$ is `significantly different from zero' if $|\hat\theta| > S\hat\sigma_\hat\theta$ . Then the F-test rejects H if and only if some $\hat\theta$ are significantly different from zero, and if it does, we can say just which $\hat\theta$ . More generally, the above inequality can be employed for all the contrasts with the obvious frequency interpretation about the proportion of experiments in which all statements are correct. Relations are considered to an earlier method of Tukey using the Studentized range tables and valid in the special case where the $\hat\mu_i$ all have the same variance and all pairs $\hat\mu_i, \hat\mu_j (i \neq j)$ have the same covariance. Some results are obtained for the operating characteristic of the new method. The paper is organized so that the reader who wishes to learn the method and avoid the proofs may skip §§ 2 and 5.},
Copyright = {Copyright © 1953 Biometrika Trust},
File = {Scheffe1953.pdf:Scheffe1953.pdf:PDF},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Jun., 1953},
Keywords = {multiple comparison},
Language = {English},
Owner = {Alessandro Samuel Rosa},
Publisher = {Biometrika Trust},
Timestamp = {2012.07.23},
Url = {http://www.jstor.org/stable/2333100}
}
@Article{ScheneiderEtAl1978,
Title = {Influência do pisoteio de bovinos em áreas florestais},
Author = {P R Scheneider and Franklin Galv{\~a}o and S J Longhi},
Journal = {Revista Floresta},
Pages = {19-23},
Volume = {9},
Year = {1978},
Doi = {http://dx.doi.org/10.5380%2Frf.v9i1.6209},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{SchipperEtAl2010,
Title = {Gains and losses in C and N stocks of New Zealand pasture soils depend on land use},
Author = {L.A. Schipper and R.L. Parfitt and C. Ross and W.T. Baisden and J.J. Claydon and S. Fraser},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {611 - 617},
Volume = {139},
Year = {2010},
Number = {4},
Abstract = {Previous re-sampling of 31 New Zealand pasture soil profiles to 1 m depth found large and significant losses of C and N over 2-3 decades. These profiles were predominantly on intensively grazed flat land. We have extended re-sampling to 83 profiles, to investigate whether changes in soil C and N stocks were related to land use. Over an average of 27 years, soils (0-30 cm) in flat dairy pastures lost 0.73 ± 0.16 Mg C ha-1 y-1 and 57 ± 16 kg N ha-1 y-1 but we observed no significant change in soil C or N in flat pasture grazed by #dry##stock# (e.g., sheep, beef), or in grazed tussock grasslands. Grazed hill country soils (0-30 cm) gained 0.52 ± 0.18 Mg C ha-1 y-1 and 66 ± 18 kg N ha-1 y-1. The losses of C and N were strongly correlated, and C:N declined significantly. Further, results reported to 60 and 90 cm show that the pattern of losses and gains extend beyond the IPCC accounting depth of 30 cm. Specific causes for the soil C and N changes are unknown, but appear to be related to land use. In general, the losses under dairying correspond to systems with greater stocking rates, fertiliser inputs and removal of C and N in exported products. Gains in hill country pastures may be due to long-term recovery from erosion and disturbance following land clearance. The unexpected and contrary changes of C and N in different pasture systems (initially thought to be at steady state) demonstrates the need for global and national-scale collection of robust data investigating soil biogeochemical changes, not only for grasslands but also for other land uses. Re-sampling of soils can constrain the directions and magnitude of soil C and N change associated with land use and management to underpin C and N inventories and correctly identify mitigation options.},
Doi = {DOI: 10.1016/j.agee.2010.10.005},
File = {SchipperEtAl2010.pdf:Agriculture Ecosystems and Environment/SchipperEtAl2010.pdf:PDF},
ISSN = {0167-8809},
Keywords = {Soil carbon},
Url = {http://www.sciencedirect.com/science/article/B6T3Y-51BP6BS-2/2/a3d67d322239ea733e5f864a2015b318}
}
@Manual{SchlatherEtAl2013,
Title = {Package RandomFields - Simulation and Analysis of Random Fields},
Address = {Viena},
Author = {Martin Schlather and Peter Menck and Richard Singleton and Ben Pfaff and R Core team,},
Edition = {2.0.66},
Pages = {126},
Publisher = {R Project},
Year = {2013},
Abstract = {Simulation of Gaussian and extreme value random fields; conditional simulation; kriging},
File = {SchlatherEtAl2013.pdf:SchlatherEtAl2013.pdf:PDF},
Owner = {alessandro},
Timestamp = {2013.04.28}
}
@Article{SchlatherEtAl2004,
Title = {Detecting dependence between marks and locations of marked point processes},
Author = {Schlather, Martin and Ribeiro, Paulo J. and Diggle, Peter J.},
Journal = {J Royal Statistical Soc B},
Pages = {79-93},
Volume = {66},
Year = {2004},
Month = {Feb},
Number = {1},
Doi = {10.1046/j.1369-7412.2003.05343.x},
File = {SchlatherEtAl2004.pdf:SchlatherEtAl2004.pdf:PDF},
ISSN = {1467-9868},
Publisher = {Wiley-Blackwell}
}
@Article{SchmidtEtAl1997,
Title = {Improvement of 13C and 15N CPMAS NMR spectra of bulk soils, particle size ftactions and organic material by treatment with 10% hydrofluoric acid},
Author = {M.W.I. Schmidt and H. Knicker and P.G. Hatcher and I. Kogel-knabner},
Journal = {European Journal of Soil Science},
Pages = {319-328},
Volume = {48},
Year = {1997},
Abstract = {The small organic matter content of mineral soils makes it difficult to obtain I3C and 15N nuclear magnetic resonance (NMR) spectra with acceptable signal-to-noise ratios. Subjecting such samples to hydrofluoric acid removes mineral matter and leads to a relative increase in organic material. The effect of treatment with 10% hydrofluoric acid on bulk chemical composition and resolution of solid-state 13C NMR spectra was investigated with six soils, some associated particle size fractions, plant litter and compost. The treatment enhanced the signal-to-noise ratio of the solid-state I3C NMR spectra. The improvement in spectrum quality was greatest in the clay fraction of soil contaminated with coal ash. The removal of paramagnetic compounds associated with the ash may be the main reason for the improvement. Based on total C, total N, C/N ratio and intensity distribution of the solid-state I3C NMR spectra, no changes in organic matter composition could be detected, except for a possible loss of carbohydrates. After treatment with HF, solid-state I5N NMR spectra of particle size fractions were obtained and indicated that the observable nitrogen is present mostly as peptides and free amino groups. Extraction with hydrofluoric acid is recommended as a routine treatment prior to solid-state I3C and "N NMR on soil containing little C or N and soil samples containing paramagnetic compounds from natural or anthropogenic sources.},
File = {:European Journal of Soil Science/Schmidt et al_Eur J Soil Sci_1997.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2389.1997.tb00552.x/pdf}
}
@Article{SchnabelEtAl2004,
Title = {Uncertainty Assessment for Management of Soil Contaminants with Sparse Data},
Author = {Ute Schnabel and Olaf Tietje and Roland W. Scholz},
Journal = {Environmental Management},
Pages = {911-925},
Volume = {33},
Year = {2004},
Abstract = {In order for soil resources to be sustainably managed, it is necessary to have reliable, valid data on the spatial distribution of their environmental impact. However, in practice, one often has to cope with spatial interpolation achieved from few data that show a skewed distribution and uncertain information about soil contamination. We present a case study with 76 soil samples taken from a site of 15 square km in order to assess the usability of information gleaned from sparse data. The soil was contaminated with cadmium predominantly as a result of airborne emissions from a metal smelter. The spatial interpolation applies lognormal anisotropic kriging and conditional simulation for log-transformed data. The uncertainty of cadmium concentration acquired through data sampling, sample preparation, analytical measurement, and interpolation is factor 2 within 68.3 % confidence. Uncertainty predominantly results from the spatial interpolation necessitated by low sampling density and spatial heterogeneity. The interpolation data are shown in maps presenting likelihoods of exceeding threshold values as a result of a lognormal probability distribution. Although the results are not deterministic, this procedure yields a quantified and transparent estimation of the contamination, which can be used to delineate areas for soil improvement, remediation, or restricted area use, based on the decision-makers? probability safety requirement.},
Doi = {10.1007/s00267-003-2971-0},
File = {:Environmental Management/Schnabel et al_Environ Manage_2004.pdf:PDF},
Keywords = {Conditional simulation; Lognormal ordinary kriging; Uncertainty assessment; Probability of occurrence; Sparse data},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Book{SchoenebergerEtAl2002,
Title = {Field book for describing and sampling soils},
Address = {Lincoln},
Author = {Schoeneberger, P.J. and Wysocki, D.A. and Benham, E.C. and Broderson, W.D.},
Pages = {228},
Publisher = {Natural Resources Conservation Service - National Soil Survey Center},
Year = {2002},
Edition = {2},
File = {SchoenebergerEtAl2002.pdf:SchoenebergerEtAl2002.pdf:PDF},
Keywords = {soil survey; fao; manual;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.19}
}
@Book{SchoenebergerEtAl2012,
Title = {Field book for describing and sampling soils},
Address = {Lincoln},
Author = {Schoeneberger, P.J. and D.A. Wysocki and E.C. Benham and {Soil Survey Staff}},
Publisher = {Natural Resources Conservation Service - National Soil Survey Center},
Year = {2012},
Edition = {2},
Keywords = {soil survey; fao; manual;},
Owner = {alessandro},
Timestamp = {2012.10.19}
}
@Inbook{SchoorlEtAl2006,
Title = {Multiscale soil-landscape process modeling},
Address = {Boca Raton},
Author = {Schoorl, J M and Veldkamp, A},
Booktitle = {Environmental soil-landscape modeling: geographic information technologies and pedometrics},
Editor = {Grunwald, S.},
Pages = {417-435},
Publisher = {Taylor \& Francis},
Year = {2006},
File = {SchoorlEtAl2006.pdf:/home/alessandro/Dropbox/library/SchoorlEtAl2006.pdf:PDF}
}
@Book{Schowengerdt2007,
Title = {Remote sensing: models and methods for image processing},
Address = {San Diego},
Author = {Robert A. Schowengerdt},
Pages = {515},
Publisher = {Academic Press},
Year = {2007},
Edition = {3},
Abstract = {Spatial transforms provide tools to extract or modify the spatial information in remote-sensing images. Some transforms, such as convolution, use only local image information, i.e., within relatively small neighborhoods of a given pixel. Others, for example the Fourier transform, use global spatial content. Between these two extremes, the increasingly important category of scale-space filters, including Gaussian and Laplacian pyramids and the wavelet transform, provide data representations that allow access to spatial information over a wide range of scales, from local to global.},
File = {Schowengerdt2007.pdf:Schowengerdt2007.pdf:PDF},
Keywords = {redemds; filter; digital image processing; dip;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.13}
}
@Article{SchramaEtAl2013,
Title = {An integrated perspective to explain nitrogen mineralization in grazed ecosystems},
Author = {Schrama, Maarten and Veen, G. F. Ciska and Bakker, E. S. Liesbeth and Ruifrok, Jasper L. and Bakker, Jan P. and Olff, Han},
Journal = {Perspectives in Plant Ecology, Evolution and Systematics},
Pages = {32-44},
Volume = {15},
Year = {2013},
Month = {Feb},
Number = {1},
Doi = {10.1016/j.ppees.2012.12.001},
File = {SchramaEtAl2013.pdf:SchramaEtAl2013.pdf:PDF},
ISSN = {1433-8319},
Keywords = {Cattle; Trampling; Animal;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{SchroderEtAl2002,
Title = {Land use and sustainability: FAM Research Network on Agroecosystems},
Author = {P. Schroder and B. Huber and U. Olazabal and A. Kammerer and J.C. Munch},
Journal = {Geoderma},
Pages = {155-166},
Volume = {105},
Year = {2002},
Abstract = {Improving information about agroecosystems, developing future strategies for environmentally compatible land use, and achieving agricultural productivity and sustainability under one umbrella are the main goals of the FAM Research Network on Agroecosystems. Scientists of various Ž disciplines study these topics on a 150 ha research farm. The Research Station Scheyern Bavaria, Germany has been leased for 15 years, and is divided into two farming programs: an organic and an integrated crop production. The researchers record, evaluate and forecast management-induced changes of this agrarian ecosystem and its environment. They seek indicators for sustainable land use and model processes at the field level, the farm level and, whenever possible, at the landscape level.},
File = {:Geoderma/Schoeder et al_Geoderma_ 2002.pdf:PDF},
Keywords = {Environmental damages; Agriculture; Sustainable land use; Ecosystem research; Agroecosystems; Long-term research},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S001670610100101X}
}
@Article{SchroederEtAl1995,
Title = {Assessing Brazil?s carbon budget: I. Biotic carbon pools},
Author = {Paul E. Schroeder and Jack K. Winjum},
Journal = {Forest Ecology and Management},
Pages = {77-86},
Volume = {75},
Year = {1995},
Abstract = {Brazil containsth e world?sl argeste xpanseo f tropicalf orest,b ut its forestsa ree xperiencinhg igh levelso f conversionto other usesT. here is concernt hat releaseosf CO* ando ther greenhousgea sesre sultingf rom deforestationw ill contributet o global climatec hangeT. he total amounto f C that couldb e releasebdy deforestatiodn ependsu pont he amountc urrently containedin the terrestriabl iota ands oils.K nowledgeo f the areaso f Brazil?sm ajore cosystemasn dl and uset ypesa ndt heir C densitiesw as usedto estimateth e total amounot f C storedin vegetationl,i tter andc oarsew oodyd ebris,a nds oils.T he total estimatedC pools were (5841) X 10? Mg C in vegetation,( 6-9) X 10? Mg C in litter andc oarsew oody debris,a nda bout7 2X lo9 Mg C in soil. Over 80%o f the vegetationp ool wasc ontainedin the closedtr opicalm oistf orestso f Brazil.},
File = {:Forest Ecology and Management/Schroeder & Winjum_Forest Ecol Manage_1995.pdf:PDF},
Keywords = {Tropical forests; Secondary forests; Carbon cycle; Climate change},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/037811279503532F}
}
@Article{SchuelerEtAl2007,
Title = {Sistema de avaliação para classificar áreas de disposição de resíduos sólidos urbanos visando a remediação e a pós-ocupação},
Author = {A.S. Schueler and C.F. Mahler},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {249-254},
Volume = {13},
Year = {2007},
File = {:Engenharia Sanitária e Ambiental/Schueler & Mahler_Eng Sanit Ambient_2008.pdf:PDF},
Keywords = {Sistema de classificação de aterros de resíduos urbanos, impacto ambiental, avaliação de risco, lixiviado, risco de exposição, monitoramento.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009},
Url = {http://www.scielo.br/pdf/esa/v13n3/a02v13n3.pdf}
}
@Phdthesis{Schueler2005,
Title = {Estudo de caso e proposta para classificação de áreas degradadas por disposição de resíduos sólidos urbanos},
Author = {Adriana Soares Schueler},
Pages = {278},
School = {Doutorado em Engenharia Civil, Universidade Federal do Rio de Janeiro},
Year = {2005},
Keywords = {Aterro de resíduos sólidos urbanos, Percolado de resíduos sólidos urbanos, Avaliação de áreas degradadas, Lixões},
Owner = {Alessandro Samuel Rosa},
Timestamp = {28.07.2009}
}
@Article{SchulpEtAl2009,
Title = {Effect of land use history and site factors on spatial variation of soil organic carbon across a physiographic region},
Author = {C.J.E. Schulp and P.H. Verburg},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {86 - 97},
Volume = {133},
Year = {2009},
Number = {1-2},
Abstract = {Regional scale inventories of soil organic carbon (SOC) stocks often use soil and land use maps as key determinants in the upscaling procedure. Although soil and land use are important determinants for SOC stocks, there are other determinants that could potentially improve regional estimates of SOC stocks. So far, land use history is never used as a determinant for SOC stocks in regional inventories as a result of the limited quantitative knowledge of the effect of land use history on SOC stocks. In this paper we assess how land use, land use history and several site factors are associated with SOC variability in four sites across a physiographic region in the Netherlands. Determinants for SOC variability were identified with empirical analysis. Causality of the identified associations was tested with a process model. Results from both methods were compared and analyzed. Empirical analysis showed that historical land use has a stronger association with SOC variability than present-day land use, mainly because long-term agricultural areas have higher SOC contents than recent reclamations. Process modelling results show that land use systems with high carbon input have a 1.5 times larger SOC stock than low-input land use systems after 200 years. Significant differences between high-input and low-input systems only emerge after several decades and are maintained over 100 years. Due to the long-lasting imprint of historical land use systems combined with the high spatial variability of historical land use, current variability of SOC stocks is related to variation in land use history. The results can be used to calculate region-wide SOC stock estimates in upscaling procedures.},
Doi = {DOI: 10.1016/j.agee.2009.05.005},
File = {SchulpEtAl2009.pdf:Agriculture Ecosystems and Environment/SchulpEtAl2009.pdf:PDF},
ISSN = {0167-8809},
Keywords = {Soil organic carbon},
Url = {http://www.sciencedirect.com/science/article/B6T3Y-4WH0JKW-2/2/c3f4f535fd6d9865acd9fb56fd27cdea}
}
@Article{SchulpEtAl2008,
Title = {Effect of tree species on carbon stocks in forest floor and mineral soil and implications for soil carbon inventories},
Author = {Catharina J.E. Schulp and Gert-Jan Nabuurs and Peter H. Verburg and Rein W. de Waal},
Journal = {Forest Ecology and Management},
Pages = {482-490},
Volume = {256},
Year = {2008},
Abstract = {Forest soil organic carbon (SOC) and forest floor carbon (FFC) stocks are highly variable. The sampling effort required to assess SOC and FFC stocks is therefore large, resulting in limited sampling and poor estimates of the size, spatial distribution, and changes in SOC and FFC stocks in many countries. Forest SOC and FFC stocks are influenced by tree species. Therefore, quantification of the effect of tree species on carbon stocks combined with spatial information on tree species distribution could improve insight into the spatial distribution of forest carbon stocks. We present a study on the effect of tree species on FFC and SOC stock for a forest in the Netherlands and evaluate how this information could be used for inventory improvement. We assessed FFC and SOC stocks in stands of beech (Fagus sylvatica), Douglas fir (Pseudotsugamenziesii), Scots pine (Pinus sylvestris), oak (Quercus robur) and larch (Larix kaempferi). FFC and SOC stocks differed between a number of species. FFC stocks varied between 11.1 Mg C ha1 (beech) and 29.6 Mg C ha1 (larch). SOC stocks varied between 53.3 Mg C ha1 (beech) and 97.1 Mg C ha1 (larch). At managed locations, carbon stocks were lower than at unmanaged locations. The Dutch carbon inventory currently overestimates FFC stocks. Differences in carbon stocks between conifer and broadleaf forests were significant enough to consider them relevant for the Dutch system for carbon inventory.},
Doi = {10.1016/j.foreco.2008.05.007},
File = {:Forest Ecology and Management/Schulp et al_Forest Ecol Manage_2008.pdf:PDF},
Keywords = {Carbon stock; Forest floor; Mineral soil; Tree species; Management},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{SchulpEtAl2008a,
Title = {Long-term landscape – land use interactions as explaining factor for soil organic matter variability in {D}utch agricultural landscapes},
Author = {Schulp, Catharina J.E. and Veldkamp, A.},
Journal = {Geoderma},
Pages = {457–465},
Volume = {146},
Year = {2008},
Month = {Aug},
Number = {3-4},
Doi = {10.1016/j.geoderma.2008.06.016},
File = {SchulpEtAl2008a.pdf:SchulpEtAl2008a.pdf:PDF},
ISSN = {0016-7061},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{Schumm1979,
Title = {Geomorphic thresholds: the concept and its applications},
Author = {S.A. Schumm},
Journal = {Transactions of the Institute of British Geographers},
Pages = {485-515},
Volume = {4},
Year = {1979},
Number = {4},
File = {Schumm1979.pdf:Schumm1979.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.28}
}
@Article{Schwarz1978,
Title = {Estimating the dimension of a model},
Author = {Gideon Schwarz},
Journal = {The Annals of Statistics},
Pages = {461-464},
Volume = {6},
Year = {1978},
Number = {2},
Abstract = {The problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion. These terms are a valid large-sample criterion beyond the Bayesian context, since they do not depend on the a priori distribution.},
Copyright = {Copyright © 1978 Institute of Mathematical Statistics},
File = {Schwarz1978.pdf:Schwarz1978.pdf:PDF},
ISSN = {00905364},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 1978},
Keywords = {stepwise},
Language = {English},
Owner = {Alessandro Samuel Rosa},
Publisher = {Institute of Mathematical Statistics},
Timestamp = {2012.06.24},
Url = {http://www.jstor.org/stable/2958889}
}
@Book{Schweitzer1953,
Title = {O Cristianismo e as Religiões do Mundo},
Address = {New York},
Author = {Albert Schweitzer},
Publisher = {Macmillan},
Year = {1953},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.30}
}
@Article{SchwertmannEtAl1983,
Title = {Óxidos de ferro jovens em ambientes pedogenéticos brasileiros},
Author = {Udo Schwertmann and Nestor Kämpf},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {251-255},
Volume = {7},
Year = {1983},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVMmQyNmNiZGQtNjlkNS00OTVhLThlYTUtZWE2ZDI5MDM4NTFl&hl=en&authkey=CK3E3KQB}
}
@Article{ScottEtAl1974,
Title = {A cluster analysis method for grouping means in the analysis of variance},
Author = {Scott, A. J. and Knott, M.},
Journal = {Biometrics},
Pages = {507-512},
Volume = {30},
Year = {1974},
Number = {3},
Abstract = {It is sometimes useful in an analysis of variance to split the treatments into reasonably homogeneous groups. Multiple comparison procedures are often used for this purpose, but a more direct method is to use the techniques of cluster analysis. This approach is illustrated for several sets of data, and a likelihood ratio test is developed for judging the significance of differences among the resulting groups.},
Copyright = {Copyright © 1974 International Biometric Society},
File = {ScottEtAl1974.pdf:ScottEtAl1974.pdf:PDF},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Sep., 1974},
Keywords = {multiple comparison},
Language = {English},
Publisher = {International Biometric Society},
Url = {http://www.jstor.org/stable/2529204}
}
@Article{ScullEtAl2005,
Title = {The application of classification tree analysis to soil type prediction in a desert landscape},
Author = {P. Scull and J. Franklin and O.A. Chadwick},
Journal = {Ecological Modelling},
Pages = {1 - 15},
Volume = {181},
Year = {2005},
Number = {1},
Abstract = {Classification tree analysis is evaluated as a predictive soil mapping technique for developing a preliminary soil map for neighboring site from samples extracted from an existing soil map. The objective of the research is to help guide future soil mapping in a nearby area. In order to determine the best overall modeling approach several variations were explored: the dependent variable (soil map class) was grouped at several hierarchical levels (according to Soil Taxonomy), sensitivity analysis was performed on the predictor variables (environmental variables acting as surrogates for soil forming factors), and the study area was divided into meaningful sub-areas (mountains and basins). Soil great group was discovered the most parsimonious dependent variable based on model results (misclassification error rate of 30.0% based on a test data set). Geomorphology (as measured by several landform variables) best explains the distribution of soil types. The terrain analysis variables did not explain a large amount of variance within the models. Dividing the study area in two separate modeling units increased overall model accuracy. Our results suggest that soil taxonomic class can be predicted with reasonable accuracy from environmental variables. In addition, the technique can provide limited insight into the variables that are most responsible for driving soil development in a given area. This technique could be used in soil survey to extrapolate obvious soil landscape relationships from one site to another, allowing soil experts to concentrate their field mapping effort in unique areas.},
Doi = {10.1016/j.ecolmodel.2004.06.036},
File = {:Ecological Modelling/Scull et al_Ecol Model_2005.pdf:PDF},
ISSN = {0304-3800},
Keywords = {Soil survey},
Owner = {pccli},
Timestamp = {2011.11.14},
Url = {http://www.sciencedirect.com/science/article/pii/S0304380004003540}
}
@Article{ScullEtAl2003,
Title = {Predictive soil mapping: a review},
Author = {P. Scull and J. Franklin and O.A. Chadwick and D. McArthur},
Journal = {Progress in Physical Geography},
Pages = {171-197},
Volume = {27},
Year = {2003},
Number = {2},
Doi = {10.1191/0309133303pp366ra},
File = {ScullEtAl2003.pdf:Progress in Physical Geography/ScullEtAl2003.pdf:PDF},
Keywords = {GIS, soil geography, soil survey},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.14}
}
@Phdthesis{Segura-Munoz2002,
Title = {Impacto ambiental na área do aterro sanitário e incinerador de resíduos sólidos de Ribeirão Preto, SP: avaliação dos níveis de matais pesados},
Author = {S.I. {Segura-Muñoz}},
Pages = {158},
School = {Universidade de São Paulo},
Year = {2002},
Keywords = {metais pesados, resíduos sólidos, resíduos de serviços de saúde, aterro sanitário, incinerador, meio ambiente},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Techreport{SEMA/UFSM2001,
Title = {Relatório final do inventário florestal contínuo do {R}io {G}rande do {S}ul},
Address = {Porto Alegre},
Author = {SEMA/UFSM},
Pages = {706},
Year = {2001},
Institution = {Secretaria Estadual do Meio Ambiente / Federal University of Santa Maria},
Owner = {Administrador},
Timestamp = {2011.08.14},
Url = {http://w3.ufsm.br/ifcrs/frame.htm}
}
@Misc{Sendakxxxx,
Title = {Two favorite statistical references},
Author = {Paul E. Sendak},
Year = {xxxx},
File = {Sendakxxxx.pdf:Sendakxxxx.pdf:PDF},
Keywords = {multiple comparison},
Owner = {Alessandro Samuel Rosa},
Pages = {6},
Timestamp = {2012.08.15}
}
@Book{SenguptaEtAl2003,
Title = {Linear models - an integrated approach},
Author = {Debasis Sengupta and Sreenivasa Rao Jammalamadaka},
Pages = {622},
Publisher = {Singapura: World Scientific},
Year = {2003},
Edition = {1},
File = {SenguptaEtAl2003.pdf:Book/SenguptaEtAl2003.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Manual{SEXTANTE2012,
Title = {{The SEXTANTE Library}},
Author = {{SEXTANTE TEAM}},
Year = {2012},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.19},
Url = {http://www.sextantegis.com/}
}
@Article{Shaffer1995,
Title = {Multiple hypothesis-testing},
Author = {Shaffer, J.P.},
Journal = {Annual Review Of Psychology},
Pages = {561-584},
Volume = {46},
Year = {1995},
Doc-delivery-number = {{QF077}},
Doi = {10.1146/annurev.psych.46.1.561},
File = {Shaffer1995.pdf:Annual Review Of Psychology/Shaffer1995.pdf:PDF},
Journal-iso = {{Annu. Rev. Psychol.}},
Keywords = {multiple comparisons; simultaneous testing; p-values; closed test procedures; pairwise comparisons, false discovery rate; redemds},
Number-of-cited-references = {{143}},
Subject-category = {{Psychology}},
Times-cited = {{363}},
Type = {{Review}},
Unique-id = {{ISI:A1995QF07700021}},
Url = {http://dx.doi.org/10.1146/annurev.psych.46.1.561},
Web-of-science-category = {{Psychology; Psychology, Multidisciplinary}}
}
@Article{Shao1993,
Title = {Linear model selection by cross-validation},
Author = {Shao, Jun},
Journal = {Journal of the American Statistical Association},
Pages = {pp. 486-494},
Volume = {88},
Year = {1993},
Number = {422},
Abstract = {We consider the problem of selecting a model having the best predictive ability among a class of linear models. The popular leave-one-out cross-validation method, which is asymptotically equivalent to many other model selection methods such as the Akaike information criterion (AIC), the Cp, and the bootstrap, is asymptotically inconsistent in the sense that the probability of selecting the model with the best predictive ability does not converge to 1 as the total number of observations n ? ?. We show that the inconsistency of the leave-one-out cross-validation can be rectified by using a leave-n?-out cross-validation with n?, the number of observations reserved for validation, satisfying n?/n ? 1 as n ? ?. This is a somewhat shocking discovery, because n?/n ? 1 is totally opposite to the popular leave-one-out recipe in cross-validation. Motivations, justifications, and discussions of some practical aspects of the use of the leave-n?-out cross-validation method are provided, and results from a simulation study are presented.},
Copyright = {Copyright © 1993 American Statistical Association},
File = {Shao1993.pdf:Shao1993.pdf:PDF},
ISSN = {01621459},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Jun., 1993},
Keywords = {redemds},
Language = {English},
Publisher = {American Statistical Association},
Url = {http://www.jstor.org/stable/2290328}
}
@InCollection{SheinEtAl2004,
Title = {Key soil water contents},
Author = {E. Shein and A. Guber and A. Dembovetsky},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {241 - 249},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30014-0},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-G/2/7cf07758e252d24acd033503444f44f5}
}
@Article{ShengEtAl2009,
Title = {Digital soil mapping to enable classification of the salt-affected soils in desert agro-ecological zones},
Author = {Jiandong Sheng and Lichun Ma and Ping?an Jiang and Baoguo Li and Feng Huang and Hongqi Wu},
Journal = {Agricultural Water Management},
Pages = {1944-1951},
Volume = {97},
Year = {2009},
Abstract = {Digital soil mapping is critical when quantifying the relationship between soil types and their associated bio-physical environments. Digital mapping of regional soils affected by salt is essential when monitoring the dynamics of soil salts and planning land development and reclamatation schemes. In this paper, an easy method for digitally mapping salt-affected soils is proposed. This method allows the construction of the quantitative lower categories of soil classification based on Chinese Soil Taxonomy by using a geostatistical method and GIS technology. The data and maps used in this study were collected during a soil survey of salt-affected desert agro-ecological zones in Karamay, Xinjiang Autonomous Region, China. The survey covers an area of 525 km2 and includes 205 soil profiles. In addition, a classification and indicator system for the salt-affected soil in the region was established and 30 saltaffected soil types were identified. Three key soil classification indicators, viz. soil texture, texture stratification combination and total soil salinity, were selected to enable low-category soil classification. Furthermore, the information regarding climate, vegetation and topographic and geomorphologic features of the region was integrated into the analysis. A GIS-based regional digital soil classification map was then generated for three layers (0?30 cm, 30?60 cm, and 60?100 cm) after the observed soil salt distribution map and soil texture stratification maps were overlaid. This map would be used to draw up the strategies of the salt-affected soils improvement in desert. While compared with the conventional approaches, this new digital soil mapping method has the advantages of being prompt, quantitative, more objective, simpler and easier to update.},
Doi = {10.1016/j.agwat.2009.04.011},
File = {ShengEtAl2009.pdf:Agricultural Water Management/ShengEtAl2009.pdf:PDF},
Keywords = {Digital soil mapping, Salinization, Geostatistics, Texture, Classification},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Book{Sherman2008,
Title = {Desktop GIS - mapping the planet with open source tools},
Address = {Raleigh},
Author = {Gary E Sherman},
Pages = {349},
Publisher = {The Pragmatic Bookshelf},
Year = {2008},
File = {Sherman2008.pdf:Sherman2008.pdf:PDF},
Owner = {alessandro},
Timestamp = {21.05.2013}
}
@Article{ShiEtAl2009,
Title = {Surface modelling of soil pH},
Author = {Wenjiao Shi and Jiyuan Liu and Zhengping Du and Yinjun Song and Chuanfa Chen and Tianxiang Yue},
Journal = {Geoderma},
Pages = {113-119},
Volume = {150},
Year = {2009},
Abstract = {In addition to classical methods, namely kriging, Inverse Distance Weighting (IDW) and splines, which have been frequently used for interpolating the spatial patterns of soil properties, a relatively more accurate surface modelling technique is being developed in recent years, namely high accuracy surface modelling (HASM). It has been used in the numerical tests, DEM construction and the interpolation of climate and ecosystem changes. In this paper, HASM was applied to interpolate soil pH for assessing its feasibility of soil property interpolation in a red soil region of Jiangxi Province, China. Soil pH was measured on 150 samples of topsoil (0?20 cm) for the interpolation and comparing the performance of HASM, kriging, IDW and splines. The mean errors (MEs) of interpolations indicate little bias of interpolation for soil pH by the four techniques. HASM has less mean absolute error (MAE) and root mean square error (RMSE) than kriging, IDWand splines. HASM is still the most accurate one when we use the mean rank and the standard deviation of the ranks to avoid the outlier effects in assessing the prediction performance of the four methods. Therefore, HASM can be considered as an alternative and accurate method for interpolating soil properties. Further researches of HASM are needed to combine HASM with ancillary variables to improve the interpolation performance and develop a user-friendly algorithm that can be implemented in a GIS package.},
Doi = {10.1016/j.geoderma.2009.01.020},
File = {:Geoderma/Shi et al_Geoderma_2009.pdf:PDF},
Keywords = {HASM, Interpolation accuracy, Soil properties, Validation},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{ShiEtAl2012,
Title = {A comparison of {L}i{DAR}-based {DEM}s and {USGS}-sourced {DEM}s in terrain analysis for knowledge-based digital soil mapping},
Author = {Xun Shi and Lyndsey Girod and Robert Long and Roger DeKett and Jessica Philippe and Tom Burke},
Journal = {Geoderma},
Pages = {217-226},
Volume = {170},
Year = {2012},
Number = {0},
Doi = {10.1016/j.geoderma.2011.11.020},
File = {ShiEtAl2012.pdf:ShiEtAl2012.pdf:PDF},
ISSN = {0016-7061},
Keywords = {LiDAR, digital elevation model; DEM; resolution; effect; PhDpaper1},
Owner = {alessandro},
Timestamp = {20.02.2014}
}
@Article{ShiEtAl2009a,
Title = {Integrating different types of knowledge for digital soil mapping},
Author = {Xun Shi and Robert Long and R. Dekett and J. Philippe},
Journal = {Soil Science Society of America Journal},
Pages = {1682-1692},
Volume = {73},
Year = {2009},
Abstract = {Analysis of the soil scientists? knowledge provides guidelines for the development of knowledge- based digital soil mapping (DSM) methodologies and so?t ware tools. Literature addressing the analysis and integration of diff erent types of soil scientists? knowledge is limited. We analyze the knowledge from the perspectives of scale and space. We distinguish global knowledge that covers the entire mapping area and local knowledge that is only applicable to certain local regions. We also distinguish knowledge represented by environmental values in parametrical space and knowledge represented by locations in geographical space. Rule-based reasoning (RBR) is proposed for handling the global knowledge in parametrical space, global case-based reasoning (CBR) for the global knowledge in geographical space, and local CBR for the local knowledge in geographical space. T e fi nal soil mapping products should represent an integration of knowledge and inferences of all diff erent types. A so?t ware tool, named Soil Inference Engine (SIE), was developed to facilitate an eight-step integrated RBR-CBR DSM process. T e SIE was tested in a pilot project in northern Vermont and proved to be eff ective. T e soil scientist working on the project was generally satisfi ed with the results from SIE, in terms of both quality and cost.},
Doi = {10.2136/sssaj2007.0158},
File = {ShiEtAl2009a.pdf:Soil Science Society of America Journal/ShiEtAl2009a.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.09}
}
@Article{ShiEtAl2007,
Title = {An experiment with circular neighborhood in the calculation of slope gradient from DEM},
Author = {Shi, X. and A.-X. Zhu and J.E. Burt and W. Choi and R.-X. Wang and T. Pei and B.-L. Li},
Journal = {Photogrammetric Engineering and Remote Sensing},
Pages = {143-154},
Volume = {73},
Year = {2007},
Abstract = {The traditional 3 3 cell neighborhood used in a focal operation on a raster layer has a square shape that results in a dimensional neighborhood of which the orientation is eventually arbitrary to the physical features represented. This paper presents an experiment using a circular neighbor- hood to calculate slope gradient. Comparisons of the results from a circular neighborhood with the results from some traditional methods show that (a) for a smooth surface, the result from a circular neighborhood is more accurate than that from a square neighborhood, (b) a circular neighborhood is generally more sensitive to noise in the input DEM than a square neighborhood, and (c) in a validation using field measurements, the circular neighborhood performs better than the square neighborhood when the ratio of user-specified neighborhood size to cell size is high.},
File = {ShiEtAl2007.pdf:Photogrammetric_Engineering_Remote_Sensing/ShiEtAl2007.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.09}
}
@Article{ShiEtAl2004,
Title = {A case-based reasoning approach to fuzzy soil mapping},
Author = {Xun Shi and A-Xing Zhu and James E. Burt and Feng Qi and Duane Simonson},
Journal = {Soil Science Society of America Journal},
Pages = {885-894},
Volume = {68},
Year = {2004},
Abstract = {Some problems in traditional soil mapping-high cost, high subjectivity, poor documentation, and low accuracy and precision-have motivated the development of a knowledge-based fuzzy soil mapping system, named SoLIM (Soil Land Inference Model). The rule-based method of the current SoLIM has its limitations. It requires explicit knowledge of the details of soil-environment relationships and it assumes that the environmental variables are independent from each other. This paper presents a case-based reasoning (CBR) approach as an alternative to the rule-based method. Case-based reasoning uses knowledge in the form of specific cases to solve a new problem, and the solution is based on the similarities between the new problem and the available cases. With the CBR method, soil scientists express their knowledge by providing locations (cases) indicating the association between a soil and a landscape or environmental configuration. In this way, the soil scientists avoid the difficulties associated with depicting the details of a soil-environment relationship and assuming the independence of environmental variables. The CBR inference engine computes the similarity between the environmental configuration at a given location and that associated with each case representing a soil type, and then uses these similarity values to approximate the similarity of the local soil at the given location to the given soil type. A case study in southwestern Wisconsin demonstrates that CBR can be an easy and effective way for soil scientists to express their knowledge. For the study area, the result from the CBR inference engine is more accurate than that from the traditional soil mapping process. Case-based reasoning can be a good solution for a knowledge-based fuzzy soil mapping system.},
File = {ShiEtAl2004.pdf:Soil Science Society of America Journal/ShiEtAl2004.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.09},
Url = {http://ddr.nal.usda.gov/handle/10113/9558}
}
@Article{ShresthaEtAl2008,
Title = {Soil organic matter quality under different land uses in a mountain watershed of Nepal},
Author = {Bharat Man Shrestha and Giacomo Certini and Claudia Forte and Bal Ram Singh},
Journal = {Soil Science Society of America Journal},
Pages = {1563-1569},
Volume = {72},
Year = {2008},
Abstract = {Land use change is one of the anthropogenic interventions that may induce substantial modi-? cations to both the quantity and quality of soil organic matter (SOM). Soils from three cultivated areas (two types of rainfed upland and one irrigated lowland) and two forests (subtropical managed and temperate unmanaged) in a midhill watershed of Nepal were stud- ied to assess the effect of land use change on SOM quality. Bulk SOM was analyzed using solid-state 13C nuclear magnetic resonance (NMR) and fractionated by acid hydrolysis into pools with different chemical composition and, thus, different tendencies to decomposition. The NMR analysis showed a clear prevalence of O-alkyl C over alkyl C and aromatic C, with major differences between both soils and two depth intervals of the same soil (0?20 and 20?40 cm). Acid hydrolysis revealed that the labile C pool is larger in the 0- to 20- than the 20- to 40-cm soil depth of each land use. Labile C was larger in the temperate unmanaged forest and the irrigated cultivated land than in the other soils at both soil depths. Of the cultivated rainfed soils, the recently reclaimed soil contained less labile C than the historically cultivated soil, while the labile C in the irrigated soil exceeded that in both rainfed soils. The results suggest that changes in land use from forest to cultivation and the irrigation of the cultivated land may signi? cantly affect not only the quantity but also the quality of the SOM and, more importantly, its chemical recalcitrance to degradation. As a consequence, any future decisions regarding land management in the fragile mountain areas of Nepal should be carefully considered with respect to the nature of the SOM.},
Doi = {10.2136/sssaj2007.0375},
Owner = {Administrador},
Timestamp = {2010.12.31}
}
@Article{ShuklaEtAl2005,
Title = {Erosional effects on soil organic carbon stock in an on-farm study on Alfisols in west central Ohio},
Author = {M.K. Shukla and R. Lal},
Journal = {Soil and Tillage Research},
Pages = {173-181},
Volume = {81},
Year = {2005},
Abstract = {Soil erosion and depositional processes in relation to land use and soil management need to be quantified to better understand the soil organic carbon (SOC) dynamics. This study was undertaken on a Miamian soil (Oxyaquic Hapludalfs) under on-farm conditions in western Ohio with the objectives of evaluating the effects of degree of erosion on SOC stock under a range of tillage systems. Six farms selected for this study were under: no-till (NT) for 15, 10, 6 and 1.5 years; chisel till every alternate year with annual manure application (MCT); and annual chisel till (ACT). A nearby forest (F) site on the same soil was chosen as control. Using the depth of A horizon as an indicator of the degree of erosion, four erosion phases identified were: uneroded (flat fields under F, NT15, and on the summit of sloping fields under NT10, NT6, NT1.5 and MCT); deposition (NT10, NT6, NT1.5 and ACT); slight (NT10, MCT and ACT); and moderate erosion (NT10 and ACT). Core and bulk soil samples were collected in triplicate from four depths (i.e., 0?10, 10?20, 20?30 and 30?50 cm) for each erosional phase in each field for the determination of bulk density, and SOC concentrations and stocks. SOC concentration in NT fields increased at a rate of 5% year1 for 0? 10 cm and 2.5% year1 for 10?20 cm layer with increasing duration under NT. High SOC concentration for NT15 is indicative of SOC-sequestration potential upon conversion from plow till to NT. SOC concentration declined by 19.0?14.5 g kg1 in MCT and 11.3?9.7 g kg1 in NT10 between uneroded and slight erosion, and 12.0?11.2 g kg1 between slight and moderate erosion in ACT. Overall SOC stock was greatest in the forest for each of the four depths. Total SOC stock for the 50 cm soil layer varied in the order F (71.99 Mg ha1) > NT15 (56.10 Mg ha1) > NT10 (37.89 Mg ha1) = NT6 (36.58 Mg ha1) for uneroded phase (P < 0.05). The lack of uneroded phase in ACT indicated high erosion risks of tillage, as also indicated by the high SOC stock for deposition phase from 0 to 50 cm soil layer (ACT (56.56 Mg ha1) > NT1.5 (42.70 Mg ha1) > NT10 (30.97 Mg ha1)). Tillage increased soil erosion and decreased SOC stock for top 10 cm layer for all erosional phases except deposition.},
Doi = {10.1016/j.still.2004.09.006},
Keywords = {SOC stock; Erosion; Deposition; Bulk density; No-till; Tillage; Farm; Manure},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{Shuman1983,
Title = {Sodium hypochlorite methods for extracting microelements associated with soil organic matter},
Author = {L. M. Shuman},
Journal = {Soil Science Society of America Journal},
Pages = {656-660},
Volume = {47},
Year = {1983},
Abstract = {Since hydrogen peroxide (H2O2) and sodium pyrophosphate (Na4P2O7) dissolve portions of the manganese and iron oxide fractions, respectively, sodium hypochlorite (NaOCl) was studied as an alternate organic fraction extractant for microelements. Six top soils were extracted for Mn, Cu, Fe, and Zn in a boiling water bath with NaOCl alone (5.3 %), NaOCl plus 0.005M DTPA (diethylenetriaminepentaacetic acid), or NaOCl with DTPA added during the last few minutes of extraction. Other variables were time (15 or 30 min) and one or two extractions. The effects of each method on the Mn oxide and amorphous Fe oxide fractions were evaluated. A second extraction increased the amounts of metal ions extracted. Increasing extraction time solubilized additional Mn and Zn but the effect was less for Cu and Fe. NaOCl + DTPA extraction values for the metals were not different from those for NaOCl alone. Adding DTPA during the last few minutes of extraction greatly increased the amounts of extractable metals. When DTPA was added at the end, metal values for the Mn oxide and amorphous Fe oxide fractions were significantly less than for the other two treatments. Two 30-min extractions with NaOCl alone are recommended. Since it appeared to extract microelements from the oxide fractions under these conditions, DTPA should not be added.},
Keywords = {manganese, copper, iron, zinc, DTPA, sequential extraction},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://soilslab.cfr.washington.edu/SSSAJ/SSAJ_Abstracts/data/contents/a047-04-0656.pdf}
}
@Article{SiddiqueEtAl2009,
Title = {Capillary rise of a liquid into a deformable porous material},
Author = {J. I. Siddique and D. M. Anderson and Andrei Bondarev},
Journal = {Physics of Fluids},
Pages = {1-15},
Volume = {21},
Year = {2009},
Abstract = {We examine the effects of capillarity and gravity in a model of one-dimensional imbibition of an incompressible liquid into a deformable porous material. We focus primarily on a capillary rise problem but also discuss a capillary/gravitational drainage con?guration in which capillary and gravity forces act in the same direction. Models in both cases can be formulated as nonlinear free-boundary problems. In the capillary rise problem, we identify time-dependent solutions numerically and compare them in the long time limit to analytically obtain equilibrium or steady state solutions. A basic feature of the capillary rise model is that, after an early time regime governed by zero gravity dynamics, the liquid rises to a ?nite, equilibrium height and the porous material deforms into an equilibrium con?guration. We explore the details of these solutions and their dependence on system parameters such as the capillary pressure and the solid to liquid density ratio. We quantify both net, or global, deformation of the material and local deformation that may occur even in the case of zero net deformation. In the model for the draining problem, we identify numerical solutions that quantify the effects of gravity, capillarity, and solid to liquid density ratio on the time required for a ?nite volume of ?uid to drain into the deformable porous material. In the Appendix, experiments on capillary rise of water into a deformable sponge are described and the measured capillary rise height and sponge deformation are compared with the theoretical predictions. For early times, the experimental data and theoretical predictions for these interface dynamics are in general agreement. On the other hand, the long time equilibrium predicted theoretically is not observed in our experimental data.},
Doi = {10.1063/1.3068194},
File = {SiddiqueEtAl2009.pdf:SiddiqueEtAl2009.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{SideriusEtAl2003,
Title = {Toponymy and soil nomenclature in the Netherlands},
Author = {W. Siderius and H. de Bakker},
Journal = {Geoderma},
Pages = {521?536},
Volume = {111},
Year = {2003},
Abstract = {Local names have been used for centuries to name land, plots or sites and soils in the Netherlands [Vlam (1948)]. Most of these names can still be found on old topographic maps. The naming of land on the farm was similar to the custom of naming cattle, as the farmer knew his plots in great detail. Unfortunately, neither oral nor written traditions exist today concerning the use of specific names to identify soils and/or their properties. Only in rare cases could examples be found. The custom to name land decreased after the introduction of the land registry which introduced a numerical classification rather than names [Vlam (1951)]. In addition, extensive re-allocation works creating ever-bigger parcels of land caused the disappearance of many names. The introduction of the soil names at the Subgroup level of the Dutch Soil Classification System is seen as a valuable combination between the scientific name and the name of the locality or field, where a particular soil is well represented [Boor en Spade XV (1966) 25]. Examples are given of the development and names of two farming systems in different geographic regions in the Netherlands. The soil/land management practices were often governed by the biophysical position of the farms. On the higher sandy areas soil fertility was a major constraint for sustainable farming, whereas on the lower, clayey regions soil workability and water management were important issues. The farmers applied their local knowledge of the soil/land systems consistently and in a holistic manner. Their approach illustrates the influence of ethnopedology as described by Barrera-Bassols and Zinck [Geoderma (2002) this issue] on the development of modern agriculture in the Netherlands.},
File = {:Geoderma/Siderius & Bakker_Geoderma_2003.pdf:PDF},
Keywords = {Toponymy; Local field names; Place names; Soil classification; Soil/land management},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S001670610200280X}
}
@Article{SilvaEtAl2007,
Title = {Relações entre matéria orgânica do solo e declividade de vertentes em toposseqüência de Latossolos do sul de Minas Gerais},
Author = {Alexandre Christofaro Silva and Pablo Vidal Torrado and Martha González Pérez and Ladislau Martin.Neto and Felipe Macias Vasquez},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1059-1068},
Volume = {31},
Year = {2007},
Abstract = {O acúmulo e a estabilidade da matéria orgânica do solo estão relacionados om a declividade de vertentes. Por essa razão, foram avaliadas quantitativamente relações entre a declividade e o grau de humificação de ácidos húmicos, o conteúdo de fragmentos de carvão e suas idades radiocarbônicas. Foram amostrados quatro Latossolos situados nas posições de topo, ombro, meia encosta e sopé de uma toposseqüência com pastagens, de uma área cratônica do Sul de Minas Gerais. Os Latossolos são originados de gnaisses do Complexo Cristalino, da Era Pré- Cambriana, e apresentam regime hídrico údico e regime térmico isotérmico. Foram coletadas amostras de horizontes e sub-horizontes dos quatro perfis, para caracterização química e física, extração de ácidos húmicos e determinação do conteúdo dos radicais livres do tipo semiquinona. Fragmentos de carvão foram coletados nesses mesmos sub-horizontes, para quantificação gravimétrica, avaliação dos teores de C e N e para datações radiocarbônicas. Os resultados deste estudo demonstram que, em toposseqüências de Latossolos do Sul de Minas Gerais, a acumulação e o grau de humificação da matéria orgânica do solo estão fortemente correlacionados com a declividade da vertente, enquanto a quantidade e a idade radiocarbônica de fragmentos de carvão estão relacionadas a processos de gênese dos solos e à posição na vertente.},
Keywords = {ácidos húmicos do solo, carvão do solo, grau de humificação, EPR, datação radiocarbônica.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/scielo.php?pid=S0100-06832007000500022&script=sci_arttext&tlng=pt}
}
@Article{SilvaEtAl2013,
Title = {Digital pedological mapping of {B}otucatu sheet ({SF}-22-{Z}-{B}-{VI}-3): data training on conventional maps and field validation},
Author = {Silva, Cristiano Cassiano da and Coelho, Ricardo Marques and Oliveira, Stanley Robson de Medeiros and Adami, Samuel Fernando},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {846–857},
Volume = {37},
Year = {2013},
Month = {Aug},
Number = {4},
Doi = {10.1590/s0100-06832013000400003},
ISSN = {0100-0683},
Keywords = {reference area; pedometrics;},
Owner = {alessandro},
Publisher = {FapUNIFESP (SciELO)}
}
@Article{SilvaEtAl1999,
Title = {Evaluation of power and type {I} error rates of the {Scott-Knott's} test by the method of {Monte Carlo}},
Author = {Eloise Cury Silva and Daniel Furtado Ferreira and Eduardo Bearzoti},
Journal = {Ciência Agrotécnica},
Pages = {687-696},
Volume = {23},
Year = {1999},
Number = {3},
Abstract = {Scott and Knott?s test is a clustering method used as an alternative where multiple comparison procedures are applied, with the characteristic of not presenting ambiguity in the results. As little is known about its power and type I error rates, this work aimed at answering these questions. The Monte Carlo method was used to simulate experiments using the Pascal language, generating large experimental situations in relationship of precision, the number of treatments, the number of replications and the level of significance adopted. Due the fact of possessing high power, the type I error rate, almost always was in accordance with the nominal levels and for presenting results with absence of ambiguity, use of Scott and Knott?s test was advised.},
File = {SilvaEtAl1999.pdf:SilvaEtAl1999.pdf:PDF},
Keywords = {multiple comparison; Scott and Knott's test, comparisonwise, experimentwise, power, simulation},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.17},
Url = {http://www.editora.ufla.br/site/_adm/upload/revista/23-3-1999_24.pdf}
}
@Article{Silva2005,
Title = {A migração dos trabalhadores gaúchos para a Amazônia Legal (1970-1985). II - A política de ocupação das fronteiras amazônicas},
Author = {Larissa K.R. Silva},
Journal = {Klepsidra - Revista Virtual de História},
Volume = {Disponível em: <http://www.klepsidra.net/klepsidra24/agro-rs2.htm>. Acesso em: 27 dez. 2011},
Year = {2005},
Owner = {pccli},
Timestamp = {2011.12.29},
Url = {http://www.klepsidra.net/klepsidra24/agro-rs2.htm}
}
@Article{SilveiraEtAl2000,
Title = {Simulação dos efeitos das mudanças do uso da terra na dinâmica de carbono no solo na bacia do rio Piracicaba},
Author = {Andréa Maria Silveira and Reynaldo Luiz Victoria and Maria Victoria Ballester and Plínio Barbosa Camargo and Luiz Antonio Martinelli and Marisa Cássia Piccolo},
Journal = {Pesquisa Agropecuária Brasileira},
Pages = {389-399},
Volume = {35},
Year = {2000},
Abstract = {Neste trabalho teve-se como objetivo testar o modelo CENTURY para simular os efeitos das mudanças de uso da terra nos teores de carbono no solo e na produção primária líquida na bacia do rio Piracicaba, SP. O modelo foi parametrizado e as simulações foram realizadas considerando-se áreas de florestas, pastagens e cana-de-açúcar, dada a sua importância econômica. Os resultados obtidos indicaram que a alteração do uso/cobertura do solo provoca a diminuição do estoque de carbono do solo. As simulações realizadas na transição de uma floresta para cana-de-açúcar indicaram um decréscimo de 28% no estoque de carbono nos primeiros 12 anos, e diminuição de 42% com 50 anos de cultivo do solo com essa gramínea. Na simulação da transição de uma floresta para pasto, seguida do cultivo da cana-de- açúcar, verificou-se que na primeira mudança (floresta-pastagem) a perda de carbono foi de 24%, enquanto na segunda alteração (pastagem-cana) a perda foi de 22%. Com relação à produção primária, os resultados obtidos de floresta (6,6 t ha -1 ano -1 ), cana-de-açúcar (77, 82, 80 t ha -1 ano -1 ) e pasto (6,5 t ha -1 ano -1 ), mostraram-se similares aos valores observados no campo por outros autores.},
Keywords = {biogeoquímica, modelagem, subtropical.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/pab/v35n2/6885.pdf}
}
@Article{SilveiraEtAl1992,
Title = {Fome, produção alimentar e distribuição da renda},
Author = {Fernando Gaiger Silveira and Maria E.K. Almeida},
Journal = {Indicadores Econômicos FEE},
Pages = {151-166},
Volume = {19},
Year = {1992},
Owner = {pccli},
Timestamp = {2011.12.29},
Url = {http://revistas.fee.tche.br/index.php/indicadores/article/view/530/766}
}
@Article{Silveira2005,
Title = {Dissolved organic carbon and bioavailability of N and P as indicators of soil quality},
Author = {Maria Lucia Azevedo Silveira},
Journal = {Scientia Agricola},
Pages = {502-508},
Volume = {62},
Year = {2005},
Abstract = {Soil quality has become an important issue in soil science. Considerable attempts have been made to define soil quality, but a general concept has not yet been accepted by the scientific community. The selection of quantitative indices for soil quality is extremely difficult, and a considerable number of chemical, physical, and biochemical properties have been suggested as potential indicators of soil quality. Because soil organic matter (SOM) can be associated with different soil chemical, physical and biological processes, it has been widely considered as one of the best soil quality indicator. Land use can significantly influence dynamics of organic carbon and N, P, and S cycle. However, changes in total soil organic carbon (SOC) contents in response to land use may be difficult to detect because of the natural soil variability. In the short to medium term, biological properties and readily decomposable fractions of SOC, such as dissolved organic carbon (DOC), are much more sensitive to soil management than is SOM as a whole, and can be used as a key indicator of soil natural functions. Despite the fact that labile C accounts for a small portion of the total organic matter in the soils, DOC is the most mobile and important C-source for microorganisms, and can easily reflect the effects of land use on soil quality. Although several methods are used to characterize DOC, the factors influencing mineralization and bioavailability of elements associated with organic matter (N, P, and S) remains unclear. Future research should focus on the processes that govern DOC and nutrient dynamics and how they affect soil quality.},
Keywords = {ecosystem management, sustainability, indicators of soil quality},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/sa/v62n5/25994.pdf}
}
@Phdthesis{Silveira2006,
Title = {Correlação geopedológica em solos de área do batólito Pelotas},
Author = {Ruy José Silveira},
Pages = {146},
School = {Universidade Federal de Pelotas},
Year = {2006},
Address = {Pelotas},
Owner = {Administrador},
Timestamp = {2011.01.05}
}
@Article{SilverEtAl2000,
Title = {Effects of soil texture on belowground carbon and nutrient storage in a lowland Amazonian forest ecosystem},
Author = {Whendee L. Silver and Jason Neff and Megan McGroddy anad Ed Veldkamp and Michael Keller and Raimundo Cosme},
Journal = {Ecosystems},
Pages = {193-209},
Volume = {3},
Year = {2000},
Abstract = {Soil texture plays a key role in belowground C storage in forest ecosystems and strongly influences nutrient availability and retention, particularly in highly weathered soils. We used field data and the Century ecosystem model to explore the role of soil texture in belowground C storage, nutrient pool sizes, and N fluxes in highly weathered soils in an Amazonian forest ecosystem. Our field results showed that sandy soils stored approximately 113 Mg C ha -1 to a 1-m depth versus 101 Mg C ha -1 in clay soils. Coarse root C represented a large and significant ecosystem C pool, amounting to 62% and 48% of the surface soil C pool on sands and clays, respectively, and 34% and 22% of the soil C pool on sands and clays to 1-m depth. The quantity of labile soil P, the soil C:N ratio, and live and dead fine root biomass in the 0?10-cm soil depth de- creased along a gradient from sands to clays, whereas the opposite trend was observed for total P, mineral N, potential N mineralization, and denitrification enzyme activity. The Century model was able to predict the observed trends in surface soil C and N in loams and sands but underestimated C and N pools in the sands by approximately 45%. The model predicted that total belowground C (0?20 cm depth) in sands would be approximately half that of the clays, in contrast to the 89% we measured. This discrepancy is likely to be due to an underestima- tion of the role of belowground C allocation with low litter quality in sands, as well as an overestima- tion of the role of physical C protection by clays in this ecosystem. Changes in P and water availability had little effect on model outputs, whereas adding N greatly increased soil organic matter pools and productivity, illustrating the need for further integra- tion of model structure and tropical forest biogeo- chemical cycling.},
Doi = {10.1007/s100210000019},
File = {:Ecosystems/Silver et al_Ecosytems_2000.pdf:PDF},
Keywords = {roots; soil carbon; century model; soil texture; biogeochemistry; tropics.},
Owner = {Alessandro},
Timestamp = {2011.01.03}
}
@Article{SimoesEtAl2009,
Title = {Avaliação do desempenho dos serviços de resíduos urbanos em Portugal},
Author = {Pedro Sim{õ}es and Rui Cunha Marques},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {285-294},
Volume = {14},
Year = {2009},
Abstract = {Os serviços de resíduos urbanos, por funcionarem em regime de monopólio natural, entre outras razões, são caracterizados por reduzidos incentivos à eficiência e inovação. A avaliação do desempenho pode assumir um papel muito relevante para contrariar esta situação. No Portugal Continental, o mercado de resíduos urbanos caracteriza-se por 29 entidades gestoras plurimunicipais do serviço em ?alta? (transporte, tratamento e recolha diferenciada), enquanto o serviço em ?baixa? (recolha indiferenciada) ainda é, na sua maioria, prestado directamente pelos municípios. O presente estudo pretendeu avaliar a eficiência dos operadores em ?alta? abrangendo a totalidade da população portuguesa continental, utilizando uma versão robusta de técnica não-paramétrica de benchmarking de data envelopment analysis (DEA), baseada no conceito de ordem-m. Os resultados revelaram ineficiências significativas, nas quais se destaca a possibilidade de redução dos custos superior a 100 milhões de euros em 2005, caso as entidades gestoras operassem de modo eficiente.},
File = {:Engenharia Sanitária e Ambiental/Simões & Marques_Eng Sanit Ambient_2009.pdf:PDF},
Keywords = {serviços de resíduos urbanos; Portugal; eficiência; regulação; análise envoltória de dados.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009},
Url = {http://www.scielo.br/pdf/esa/v14n2/a16v14n2.pdf}
}
@Article{SimbahanEtAl2006,
Title = {Sampling optimization based on secondary information and its utilization in soil carbon mapping},
Author = {Gregorio C. Simbahan and Achim Dobermann},
Journal = {Geoderma},
Pages = {345-362},
Volume = {133},
Year = {2006},
Abstract = {We propose a method for optimizing sampling for digital soil mapping in cases where no directly measured prior information of the primary variable of interest is available. Various ancillary variables (soil series, relative elevation, slope, electrical conductivity and soil surface reflectance) were assumed to provide indirect information about the spatial distribution of soil carbon stock (CS, Mg ha1 in 0-0.3 m depth) in three fields of 49 to 65 ha size. The secondary information was used for stratifying each field into contiguous spatial clusters. Using this stratification, initial stratified random sampling schemes were allocated and further optimized by constrained spatial simulated annealing. Three optimization approaches were evaluated: minimization of the shortest distance (MMSD), a uniform distribution of point pairs for variogram estimation (WM), and a combination of MMSD (2 /3 of samples) and WM (1 / 3). Spatially constrained cluster analysis of secondary information resulted in stratifications that accounted for large proportions of the variation of all ancillary variables used in the cluster analysis, but also for 47% to 68% of the spatial variation in measured CS. MMSD-optimized sampling schemes were inappropriate for mapping when the sampling density was low (V1.5 to 2 samples per hectare) because spatial variation occurring at short lag distances was poorly resolved. WM-optimized sampling schemes allowed modeling of spatial variation, but resulted in poor field coverage for mapping purposes. The combined MMSD+WM optimization provided both even field coverage and the ability to estimate variograms for interpolation purposes. Sampling based on secondary information and re-use of the secondary information in regression kriging increased the accuracy of CS maps and allowed a significant reduction in sample size without loss of information. Further improvements could include fitness functions that simultaneously account for variation in feature and geographic space as well as sampling cost.},
Doi = {10.1016/j.geoderma.2005.07.020},
File = {:Geoderma/Simbahan & Dobermann_Geoderma_2006.pdf:PDF},
Keywords = {Sampling; Simulated annealing; Soil carbon; Regression kriging; Digital soil mapping},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{Simmons1999,
Title = {Restoration of landfill sites for ecological diversity},
Author = {Elizabeth Simmons},
Journal = {Waste Management and Research},
Pages = {511-519},
Volume = {17},
Year = {1999},
Keywords = {Aftercare; biodiversity; conservation; diversity; ecology; habitat; landfill; restoration},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009},
Url = {http://www3.interscience.wiley.com/journal/121441215/articletext?DOI=10.1034%2Fj.1399-3070.1999.00070.x}
}
@Article{SimonEtAl2009,
Title = {Elaboração de cenários recentes de uso da terra utilizando imagens do Google Earth},
Author = {Adriano Luís Heck Simon and Gracieli Trentin},
Journal = {Revista Electronica de Recursos en Internet},
Pages = {xx-xx},
Volume = {116},
Year = {2009},
Abstract = {Em busca de alternativas para a elaboração de representações cartográficas que compõe séries temporais de uso da terra, este trabalho procurou avaliar as potencialidades das imagens do Google Earth. São apresentadas duas aplicações destas imagens na identificação de padrões recentes de uso da terra. A primeira aplicação foi realizada em uma bacia hidrográfica localizada em Pelotas ? Brasil, que compreende ambientes urbano-industriais e rurais. O segundo exemplo de aplicação pautou-se na elaboração de um cenário recente de uso da terra no município de Americana ? Brasil, predominantemente urbanizado. De forma geral, as imagens do Google Earth mostraram-se adequadas para a representação cartográfica do uso da terra. A elaboração dos cenários recentes foi fundamental para o estabelecimento de uma série temporal que identificasse as dinâmicas socioeconômicas das áreas analisadas. Constatou-se que as ferramentas disponibilizadas em ambiente virtual constituem uma alternativa cada vez mais associada às necessidades dos estudos geográficos.},
Keywords = {Imagens de satélite, representação do espaço geográfico, uso da terra, cartografia digital.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.ub.es/geocrit/aracne/aracne-116.htm}
}
@Article{Simon1954,
Title = {Spurious correlation: a causal interpretation},
Author = {H A Simon},
Journal = {Journal of the American Statistical Association},
Pages = {467-479},
Volume = {49},
Year = {1954},
Abstract = {To test whether a correlation between two variables is genuine or spurious, additional variables and equations must be introduced, and sufficient assumptions must be made to identify the parameters of this wider system. If the two original variables are causally related in the wider system, the correlation is "genuine".},
Owner = {Alessandro},
Timestamp = {2011.01.03},
Url = {http://www.jstor.org/stable/2281124?origin=JSTOR-pdf}
}
@Article{Simonson1959,
Title = {Outline of a generalized theory of soil genesis},
Author = {R. W. Simonson},
Journal = {Soil Science Society of America Proceedings},
Pages = {152-156},
Volume = {23},
Year = {1959},
File = {Simonson1959.pdf:Simonson1959.pdf:PDF},
Keywords = {Process; Soil; Formation;},
Owner = {lgcs-mds},
Timestamp = {2013.05.08},
Url = {http://www.evsc.virginia.edu/~alm7d/soils/handouts/simonson.pdf}
}
@Article{SiregarEtAl2005,
Title = {Sodium hypochlorite oxidation reduces soil organic matter concentrations without affecting inorganic soil constituents},
Author = {A. Siregar and M. Kleber and R. Mikutta and R. Jahn},
Journal = {European Journal of Soil Science},
Pages = {481-490},
Volume = {56},
Year = {2005},
Abstract = {Oxidative treatment can isolate a stable organic matter pool in soils for process studies of organic matter stabilization. Wet oxidation methods using hydrogen peroxide are widely used for that purpose, but are said to modify poorly crystalline soil constituents. We investigated the effect of a modified NaOCl oxidation (pH 8) on the mineral composition of 12 subsoils (4.9?38.2 g organic C kg1) containing varying amounts of poorly crystalline mineral phases, i.e. 1.1?20.5 g oxalate-extractable Fe kg1, and of different phyllosilicate mineralogy. Post-oxidative changes in mineral composition were estimated by (i) the determination of elements released into the NaOCl solution, (ii) the difference in dithionite- and oxalate-extractable Si, Al and Fe, and (iii) the specific surface areas (SSAs) of the soils. The NaOCl procedure reduced the organic C concentrations by 12?72%. The amounts of elements released into the NaOCl extracts were small (0.14 g kg1 for Si, 0.13 g kg1 for Al, and 0.03 g kg1 for Fe). The SSA data and the amounts of dithionite- and oxalate-extractable elements suggest that the NaOCl oxidation at pH 8 does not attack pedogenic oxides and hydroxides and only slightly dissolves Al from the poorly crystalline minerals. Therefore, we recommend NaOCl oxidation at pH 8 for the purpose of isolating a stable organic matter pool in soils for process studies of organic matter stabilization.},
Doi = {10.1111/j.1365-2389.2004.00680.x},
File = {:European Journal of Soil Science/Siregar et al_Eur J Soil Sci_2005.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {15.02.2010}
}
@Book{Skidmore1988,
Title = {Brasil - de Castelo a Tancredo},
Author = {Thomas Skidmore},
Pages = {608},
Publisher = {Rio de Janeiro: Paz e Terra},
Year = {1988},
Edition = {1},
File = {Skidmore1988.pdf:Book/Skidmore1988.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Article{SkjemstadEtAl1994,
Title = {The removal of magnetic materials from surface soils - a solid state 13C CP/MAS NMR study},
Author = {J O Skjemstad and P Clarke and J A Taylor and J M Oades and R H Newman},
Journal = {Australian Journal of Soil Research},
Pages = {1215 - 1229},
Volume = {32},
Year = {1994},
Abstract = {Five surface soils of differing chemical and mineralogical compositions were subjected to either a sequence of dithionite/citrate extractions in which the soil: citrate ratio was varied or to a sequence of 1% or 2% HF extractions. The 2% HF treatment resulted in the removal of the highest Fe concentrations (79-95%) while the dithionite/citrate extractions were less effective in removing Fe from the same soils (18-75%). The Fe remaining after HF treatment appeared to be mostly associated with ilmenite crystals which were only slowly attacked by the dilute acid. During the 2% HF treatments, some organic carbon was lost (8-17%), but this loss had no significant effect on the organic chemistry of the samples as determined by CP/MAS 13C n.m.r. spectroscopy. The total 13C signal recovered after the various treatments was found to be correlated, in order of decreasing significance, with the mineral fraction present in the sample, the organic carbon/Fe ratio and the mass magnetic susceptibility. The expression (organic carbon/Fe) -0.147 (mineral fraction present in the sample) +0.043 (1/mass magnetic susceptibility), accounted for 85.3% of the variation in the relative visibility of the 13C signal. Prior to soil state CP/MAS 13C n.m.r. analysis, the recommended pretreatment for surface soils containing Fe involves a sequence of 2% HF extractions in the order 5 x 1 h, 2 x 16 h and 1 x 64 h. For soils high in Fe, this procedure allows CP/MAS 13C n.m.r. spectra to be acquired that would otherwise be difficult to obtain. It also results in a significant increase in sensitivity and in resolution of the 13C n.m.r. spectra of soils with moderate Fe contents.},
Doi = {10.1071/SR9941215},
Keywords = {CP/MAS; 13C NMR; Soil Organic Matter; Magnetic Materials; Iron; Dithionite/citrate; Hydrofluoric Acid;},
Owner = {Administrador},
Timestamp = {2010.12.28}
}
@InCollection{SmettemEtAl2004,
Title = {Data availability and scale in hydrologic applications},
Author = {K. Smettem and G. Pracilio and Y. Oliver and R. Harper},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {253 - 271},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30015-2},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-H/2/f38162662508fd4656128f2a58431535}
}
@Book{Smith1986,
Title = {The {G}uy {S}mith interviews: rationale concepts in {S}oil {T}axonomy},
Address = {New York},
Author = {Guy D Smith},
Editor = {T. R. Forbes},
Pages = {260},
Publisher = {Soil Management Support Services. Soil Conservation Service. US Department of Agriculture},
Year = {1986},
Edition = {1},
Note = {{SMSS} technical monograph no. 11},
File = {Smith1986.pdf:Smith1986.pdf:PDF},
ISBN = {0-932865-05-4},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Book{Smith1986a,
Title = {Conversations in soil taxonomy (original transcriptions of taped conversations)},
Address = {New York},
Author = {Guy D Smith},
Editor = {Forbes, T. R.},
Pages = {327},
Publisher = {Soil Management Support Services. Soil Conservation Service. US Department of Agriculture},
Year = {1986},
Note = {SMSS {T}echnical {M}onograph {N}o. 11},
File = {Smith1986a.pdf:Smith1986a.pdf:PDF},
Owner = {alessandro},
Timestamp = {05.03.2015}
}
@Article{Smith1983,
Title = {Historical development of {S}oil {T}axonomy -- background},
Author = {Smith, G. D.},
Journal = {Developments in Soil Science},
Pages = {23-49},
Year = {1983},
Doi = {10.1016/s0166-2481(08)70597-x},
File = {Smith1983.pdf:Smith1983.pdf:PDF},
ISBN = {http://id.crossref.org/isbn/9780444421005},
ISSN = {0166-2481},
Owner = {alessandro}
}
@Techreport{Smith2011,
Title = {Resampling methods},
Address = {Lincoln},
Author = {Randall B. Smith},
Pages = {2},
Publisher = {MicroImages Inc.},
Year = {2011},
File = {Smith2011.pdf:Smith2011.pdf:PDF},
Keywords = {Resampling;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04},
Url = {http://www.microimages.com/documentation/TechGuides/77resampling.pdf}
}
@Article{SmithEtAl2010,
Title = {Soil-erosion models: where do we really stand?},
Author = {Roger E. Smith and John Quinton and David C Goodrich and Mark Nearing},
Journal = {Earth Surface Processes and Landforms},
Pages = {xx},
Volume = {xx},
Year = {2010},
Abstract = {Wainwright et al. (2008a, b, c) propose a new model for simulating catchment-scale erosion resulting from rainfall-runoff events. In justifi cation for such a new model, several existing process-based models are criticized with regard to their theoretical under-pinnings and presumptions. Since the authors do not correctly characterize the models mentioned, it is felt useful to correct the record in that regard, and to put the proposed model of Wainwright et al. in better perspective. The current models named in the criticism by Wainwright et al. include KINEROS (Woolhiser et al., 1990), KINEROS2 (Smith et al., 1995), EUROSEM (Morgan et al., 1998; Smith et al., 1995), and WEPP (Ascough et al., 1997). We refer to these below as the ?critiqued models.? The writers? familiarity with those models and their assumptions provide justifi cation for the clarifi cations presented below. We note here that some of the models critiqued have had developments added, and published, since their initial release.},
Doi = {10.1002/esp.1985},
File = {:Earth Surface Processes and Landforms/Smith et al_Earth Surf Proc Land_2010.pdf:PDF},
Keywords = {erosion; sediment; modelling},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Book{SneathEtAl1973,
Title = {Numerical taxonomy},
Author = {Peter H.A. Sneath and Robert R. Sokal},
Publisher = {W.H. Freeman and Company},
Year = {1973},
File = {SneathEtAl1973.djvu:Book/SneathEtAl1973.djvu:Djvu},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@Article{Snee1977,
Title = {Validation of regression models: methods and examples},
Author = {Snee, Ronald D.},
Journal = {Technometrics},
Pages = {415-428},
Volume = {19},
Year = {1977},
Number = {4},
Abstract = {Methods to determine the validity of regression models include comparison of model predictions and coefficients with theory, collection of new data to check model predictions, comparison of results with theoretical model calculations, and data splitting or cross-validation in which a portion of the data is used to estimate the model coefficients, and the remainder of the data is used to measure the prediction accuracy of the model. An expository review of these methods is presented. It is concluded that data splitting is an effective method of model validation when it is not practical to collect new data to test the model. The DUPLEX algorithm, developed by R. W. Kennard, is recommended for dividing the data into the estimation set and prediction set when there is no obvious variable such as time to use as a basis to split the data. Several examples are included to illustrate the various methods of model validation.},
Copyright = {Copyright © 1977 American Statistical Association and American Society for Quality},
File = {Snee1977.pdf:Technometrics/Snee1977.pdf:PDF},
ISSN = {00401706},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Nov., 1977},
Language = {English},
Publisher = {American Statistical Association and American Society for Quality},
Url = {http://www.jstor.org/stable/1267881}
}
@Techreport{SoaresEtAl2005,
Title = {Uniformização da legenda de solos do Brasil ao milionésimo},
Address = {Campinas},
Author = {Amarindo Fausto Soares and Silva, João Santos Vila},
Pages = {32},
Publisher = {Embrapa Informática Agropecuária},
Year = {2005},
File = {SoaresEtAl2005.pdf:SoaresEtAl2005.pdf:PDF},
Groups = {public},
ISSN = {1677-9274},
Keywords = {soil; legend; radam; brazil; codes;},
Url = {http://www.infoteca.cnptia.embrapa.br/bitstream/doc/962/1/doc49.pdf},
Username = {samuel-rosa}
}
@Book{Soares2005,
Title = {Fundamentos de sensoriamento remoto por radar},
Address = {São José dos Campos},
Author = {João Vianei Soares},
Pages = {100},
Publisher = {Instituto Nacional de Pesquisas Espaciais},
Year = {2005},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.13}
}
@Book{SOILSURVEYSTAFF2011,
Title = {Soil Survey Laboratory Information Manual},
Author = {{SOIL SURVEY STAFF}},
Editor = {R. Burt},
Publisher = {U.S. Department of Agriculture, Natural Resources Conservation Service},
Year = {2011},
Edition = {2},
Note = {(Soil Survey Investigations Report No. 45)},
File = {SOILSURVEYSTAFF2011.pdf:SOILSURVEYSTAFF2011.pdf:PDF},
Url = {ftp://ftp-fc.sc.egov.usda.gov/NSSC/Lab_Info_Manual/SSIR_45.pdf}
}
@Book{SSS2014,
Title = {Keys to Soil Taxonomy},
Address = {Washington},
Author = {Soil Survey Staff,},
Pages = {360},
Publisher = {United States Department of Agriculture. Natural Resources Conservation Service},
Year = {2014},
Edition = {12},
File = {SSS2014.pdf:SSS2014.pdf:PDF},
Keywords = {soil Classification;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.01.13},
Url = {http://www.nrcs.usda.gov/wps/PA_NRCSConsumption/download?cid=stelprdb1252094&ext=pdf}
}
@Book{SOILSURVEYSTAFF2010,
Title = {Keys to Soil Taxonomy},
Address = {Washington},
Author = {{SOIL SURVEY STAFF}},
Pages = {338},
Publisher = {United States Department of Agriculture - Natural Resources Conservation Service},
Year = {2010},
Edition = {11},
File = {SoilSurveyStaff2010.pdf:SoilSurveyStaff2010.pdf:PDF},
Owner = {alessandro},
Timestamp = {2013.01.13},
Url = {http://soils.usda.gov/technical/classification/tax_keys/}
}
@Book{SOIL1999,
Title = {{Soil Taxonomy} - a basic system of soil classification for making and interpreting soil surveys},
Address = {Washington},
Author = {{SOIL SURVEY STAFF}},
Pages = {870},
Publisher = {United States Department of Agriculture - Natural Resources Conservation Service},
Year = {1999},
Edition = {2},
File = {SoilSurveyStaff1999.pdf:SoilSurveyStaff1999.pdf:PDF},
Keywords = {soil concept;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.27}
}
@Manual{SOIL1998,
Title = {Keys to Soil Taxonomy},
Author = {{SOIL SURVEY STAFF}},
Edition = {8},
Pages = {326},
Publisher = {USDA-NRCS, Washington DC.},
Year = {1998},
Owner = {Administrador},
Timestamp = {2011.01.07}
}
@Manual{SoilSurveyStaff1993,
Title = {Soil Survey Manual},
Address = {Washington},
Author = {Soil Survey Staff,},
Publisher = {USDA-NRCS},
Year = {1993},
Note = {USDA Agriculture Handbook No. 18},
File = {SoilSurveyStaff1993.pdf:SoilSurveyStaff1993.pdf:PDF},
Keywords = {taxonomic; interpretative; purity; map unit;},
Owner = {Administrador},
Timestamp = {2011.11.02},
Url = {http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/planners/?cid=nrcs142p2_054262}
}
@Article{Sokal1966,
Title = {Numerical taxonomy},
Author = {R R Sokal},
Journal = {Scientific American},
Pages = {106-116},
Volume = {215},
Year = {1966},
File = {Sokal1966.pdf:scientific_american/Sokal1966.pdf:PDF},
Keywords = {tanonomic distances},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.08}
}
@Book{SolomonEtAl2011,
Title = {Fundamentals of digital image processing: a practical approach with examples in Matlab},
Address = {Chichester},
Author = {Chris Solomon and Toby Breckon},
Pages = {328},
Publisher = {John Wiley and Sons, Ltd},
Year = {2011},
Abstract = {Fundamentals of Digital Image Processing is an introductory text on the science of image processing and employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition drawing on specific examples from within science, medicine and electronics.},
File = {SolomonEtAl2011.pdf:SolomonEtAl2011.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.07}
}
@Article{SongEtAl2001,
Title = {Classification and Change Detection Using Landsat \{TM\} Data: When and How to Correct Atmospheric Effects? },
Author = {Conghe Song and Curtis E. Woodcock and Karen C. Seto and Mary Pax Lenney and Scott A. Macomber},
Journal = {Remote Sensing of Environment },
Pages = {230 - 244},
Volume = {75},
Year = {2001},
Number = {2},
Abstract = {The electromagnetic radiation (EMR) signals collected by satellites in the solar spectrum are modified by scattering and absorption by gases and aerosols while traveling through the atmosphere from the Earth's surface to the sensor. When and how to correct the atmospheric effects depend on the remote sensing and atmospheric data available, the information desired, and the analytical methods used to extract the information. In many applications involving classification and change detection, atmospheric correction is unnecessary as long as the training data and the data to be classified are in the same relative scale. In other circumstances, corrections are mandatory to put multitemporal data on the same radiometric scale in order to monitor terrestrial surfaces over time. A multitemporal dataset consisting of seven Landsat 5 Thematic Mapper (TM) images from 1988 to 1996 of the Pearl River Delta, Guangdong Province, China was used to compare seven absolute and one relative atmospheric correction algorithms with uncorrected raw data. Based on classification and change detection results, all corrections improved the data analysis. The best overall results are achieved using a new method which adds the effect of Rayleigh scattering to conventional dark object subtraction. Though this method may not lead to accurate surface reflectance, it best minimizes the difference in reflectances within a land cover class through time as measured with the Jeffries–Matusita distance. Contrary to expectations, the more complicated algorithms do not necessarily lead to improved performance of classification and change detection. Simple dark object subtraction, with or without the Rayleigh atmosphere correction, or relative atmospheric correction are recommended for classification and change detection applications. },
Doi = {http://dx.doi.org/10.1016/S0034-4257(00)00169-3},
File = {SongEtAl2001.pdf:SongEtAl2001.pdf:PDF},
ISSN = {0034-4257},
Keywords = {atcorr;},
Url = {http://www.sciencedirect.com/science/article/pii/S0034425700001693}
}
@Article{SonneveldEtAl2003,
Title = {A nonparametric/parametric analysis of the Universal Soil Loss Equation},
Author = {B.G.J.S. Sonneveld and M.A. Nearing},
Journal = {Catena},
Pages = {9-21},
Volume = {52},
Year = {2003},
Abstract = {Due to its modest data demands and transparent model structure, the Universal Soil Loss Equation (USLE) remains the most popular tool for water erosion hazard assessment. However, the model has several shortcomings, two of which are likely to have prominent implications for the model results. First, the mathematical form of the USLE, the multiplication of six factors, easily leads to large errors whenever one of the input data is misspecified. Second, the USLE has a modest correlation between observed soil losses and model calculations, even with the same data that was used for its calibration. This raises questions about its mathematical model structure and the robustness of the assumed parameter values that are implicitly assigned to the model. This paper, therefore, analyzes if the USLE could benefit from mathematical model transformations that, on one hand, mitigate the impact of incorrect input factors and, on the other hand, result in a better fit between model results and observed soil losses. For the analysis, we revisit the original data set and consider the USLE factors as variables rather than their common interpretation as parameters. We first use both nonparametric and parametric techniques to test the robustness of the implicit parameter assignments in the USLE equation. Next, we postulate alternative mathematical forms and use parametric test statistics to evaluate parameter significance and model fit. A tenfold cross-validation of the model with the best fit tests the sensitivity of the parameters for inclusion or exclusion of the data. The results show that the USLE model is not very robust, however, only slight model improvements are obtained by drastic modifications of its functional form, thereby sacrificing the simple model structure that was intended by its designers.},
Doi = {10.1016/S0341-8162(02)00150-9},
File = {SonneveldEtAl2003.pdf:Catena/SonneveldEtAl2003.pdf:PDF},
Keywords = {Universal Soil Loss Equation; Nonparametric regression; Parametric regression; Robustness; Model fit},
Owner = {Alessandro Samuel Rosa},
Timestamp = {28.07.2010},
Url = {http://ddr.nal.usda.gov/bitstream/10113/6775/1/IND43976573.pdf}
}
@Mastersthesis{Sotomayor2009,
Title = {Métodos de amostragem de solos para a determinação de carbono em três ambientes},
Author = {Jaime Felipe Medina Sotomayor},
Pages = {1-102},
School = {Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo},
Year = {2009},
Abstract = {Paralelamente à aceitação dos reservatórios de carbono florestais para mitigar o impacto do dióxido de carbono emitido à atmosfera, gera-se uma demanda de técnicas que permitam mensurar e monitorar o carbono das florestas nos projetos de desenvolvimento limpo. Os erros que provém da amostragem, são muito maiores que os associados ao processo de análise de amostras, assim, é importante desenvolver planos de amostragem adequados que permitam alcançar a precisão desejada e sem viés na informação. Desta maneira, o objetivo do estudo foi conhecer o comportamento do estoque de carbono nos solos, na fazenda Três Lagoas, localizada no Município de Angatuba, São Paulo, Brasil, área com diferente cobertura e uso de solo: Eucalipto, Pastagem e Floresta Nativa, e conhecer como o sistema de amostragem influencia as estimativas assim como o esforço amostral necessário para a determinação do estoque de carbono. Coletaram-se 406 unidades amostrais distribuídas nas profundidades 0-10 cm e 10-20 cm e por meio da estatística clássica determinou-se que o estoque de carbono é de 39,6 MgC.ha-1. O menor esforço amostral necessário foi determinado na amostragem sistemática estratificada, com uma distância de amostragem na grade de 979 m. A geoestatística foi uma ferramenta que permitiu conhecer o alcance prático da variável (650 m). Pelo valor da diferença do critério de Akaike, os modelos: exponencial, Matérn com kappa 1, kappa 2 e esférico foram iguais. Difere entre eles o alcance prático que cada modelo determinou. O modelo esférico apresentou o maior alcance prático e o menor esforço amostral comparado aos outros modelos. Conclui-se que existem diferenças nos sistemas de amostragem empregados, os quais dependem das variáveis de estudo, da profundidade e do uso do solo. Tanto a estatística clássica quanto a geoestatística mostraram ser ferramentas úteis na predição do estoque de carbono em solos.},
Keywords = {Amostragem; Carbono; Geoestatística; Solo florestal},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{Sousa.JuniorEtAl2008,
Title = {Comportamento espectral dos solos na paisagem a partir de dados coletados por sensores terrestre e orbital},
Author = {José Geraldo Abreu Sousa.Junior and José Alexandre Melo Demattê and Aline Marques Genú},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {727-738},
Volume = {32},
Year = {2008},
Abstract = {Parte da variabilidade dos índices de produção agrícola está associada com as características do solo e da paisagem. Dessa forma, práticas de manejo, como a adubação, devem levar em consideração esta variabilidade. O sensoriamento remoto é uma ferramenta que pode fornecer, de maneira rápida, informações para o manejo do solo, pois relaciona a radiação eletromagnética com os atributos do solo. Assim, este trabalho teve como objetivo avaliar o comportamento espectral, em dois níveis de aquisição de dados (terrestre e orbital), de diferentes classes de solos ao longo de toposseqüências na região de São Carlos e Ibaté, SP. Para isso, amostras de terra georreferenciadas foram coletadas em 319 pontos, em três profundidades. Em seguida, obtiveram-se os dados radiométricos em laboratório, na faixa espectral entre 450 e 2.500 nm. Os mesmos locais amostrados na camada superficial, no campo, foram avaliados na imagem de satélite. A partir dos resultados obtidos, pode-se concluir que: (a) teores de areia grossa, argila e matéria orgânica, e cor tiveram relação com a reflectância dos solos; (b) ao longo das vertentes ocorrem variações nos dados espectrais dos solos; e (c) solos da mesma ordem taxonômica, porém com classes texturais diferentes, apresentam diferentes comportamentos espectrais, podendo ser discriminados por sensoriamento remoto.},
Keywords = {toposseqüência, atributos do solo, reflectância},
Owner = {Administrador},
Timestamp = {2010.12.05},
Url = {http://www.scielo.br/scielo.php?pid=S0100-06832008000200027&script=sci_arttext}
}
@Article{Sousa.JuniorEtAl2008a,
Title = {Modelo digital de elevação na caracterização de solos desenvolvidos de basalto e material arenítico (Geoprocessing for the characterization of soils developed from basalt and sand material)},
Author = {José G.A. Sousa.Junior and José A.M. Demattê},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {449-456},
Volume = {32},
Year = {2008},
Abstract = {Os levantamentos de solos são na maioria antigos e pouco detalhados, geralmente nos níveis exploratório e de reconhecimento. Isso pode ser explicado pelo fato de que o método tradicional de levantamento de solos é lento e caro, requerendo grande número de observações de campo. Assim, o presente trabalho teve como objetivo caracterizar unidades de mapeamento de solos das regiões de Ibaté e São Carlos, SP, desenvolvidos de materiais basálticos e areníticos em função da declividade e altitudes correspondentes, com base em modelo digital de elevação (MDE). Primeiramente, foi feito um mapa de solos semidetalhado pelo método tradicional. Posteriormente, utilizando-se curvas de nível da região, foi elaborado o MDE, do qual foram extraídos mapas com diferentes classes de declividade e elevação. Por meio da tabulação cruzada, foi determinada a incidência de cada solo nas respectivas classes de declives e altitudes. Cada solo apresentou comportamento diferenciado em relação às classes de declive. Contudo, nas faixas limítrofes de declividade pode ocorrer sobreposição de dois ou mais solos. Na referida região, o Latossolo Amarelo encontra-se predominantemente nas regiões mais altas e de relevo plano; entretanto, solos pouco intemperizados, como os Neossolos Litólicos, aparecem em diferentes faixas de declividade. Conclui-se que o conhecimento da distribuição dos solos no relevo é de grande importância, pois facilita a execução do levantamento de solos. O modelo de elevação apresenta semelhanças com o mapa de solos, podendo auxiliar na sua determinação. As variações de solo, no entanto, são mais complexas, não dispensando as observações de campo.},
Doi = {10.1590/S0100-06832008000100043},
File = {:/home/usuario/Documentos/biblioteca/Revista Brasileira de Ciência do Solo/Sousa Jr & Demattê_RBCS_2008.pdf:PDF},
Keywords = {modelo digital de elevação, classes de solo, sistema de informação geográfica.},
Owner = {usuario},
Timestamp = {2012.03.03},
Url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832008000100043&lng=pt&nrm=iso}
}
@Inbook{SouzaEtAl2014,
Title = {Comparing spatial prediction methods for soil property mapping in {B}razil. {A} case study for the {R}io {D}oce {B}asin},
Address = {London},
Author = {E Souza and T Hengl and B . Kempen and G B M Heuvelink and Fernandes Filho, E I and C E G R Schaefer},
Booktitle = {Global{S}oil{M}ap. {B}asis of the global spatial soil information system},
Editor = {Dominique Arrouays and Neil McKenzie and Jon Hempel and Forges, Ann C . Richer de and Alex McBratney},
Pages = {267-271},
Publisher = {CRC Press},
Year = {2014}
}
@Article{SouzaEtAl2004,
Title = {Variabilidade espacial do pH, Ca, Mg e V% do solo em diferentes formas do relevo sob cultivo de cana-de-açúcar},
Author = {Z.M. Souza and J. Marques and G.T. Pereira and L.F. Moreira},
Journal = {Ciência Rural},
Pages = {1763-1771},
Volume = {34},
Year = {2004},
Abstract = {Em uma paisagem natural, os solos apresentam uma ampla variação dos atributos químicos, tanto vertical como horizontal, resultante da interação dos diversos fatores de formação envolvidos. Este trabalho foi desenvolvido em Guariba- SP, com o objetivo de avaliar a variabilidade espacial do pH, cálcio (Ca), magnésio (Mg) e saturação por bases (V%) em um Latossolo Vermelho eutroférrico sob cultivo de cana-de-açúcar, utilizando-se métodos da estatística clássica, análise geoestatística e técnica de interpolação de dados, com a finalidade de observar padrões de ocorrência destes atributos na paisagem. No terço inferior da encosta, após análise detalhada da variação do gradiente do declive, caracterizaram-se dois compartimentos (I e II), sob os quais os solos foram amostrados nos pontos de cruzamento de uma malha, com intervalos regulares de 50m, perfazendo um total de 206 pontos, nas profundidades de 0,0- 0,2m e 0,6-0,8m. Os maiores alcances foram observados na profundidade de 0,0-0,2m para todos os atributos estudados, com exceção do cálcio que apresentou comportamento inverso, refletindo os efeitos do maior grau de intemperismo e do manejo na variabilidade natural dos solos. Pequenas variações, nas formas do relevo, condicionam variabilidade diferenciada para os atributos químicos.},
File = {:Ciência Rural/Souza et al_Cienc Rural_2004.pdf:PDF},
Keywords = {geoestatística, krigagem, atributos químicos},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://www.scielo.br/pdf/cr/v34n6/a15v34n6.pdf}
}
@Mastersthesis{Souza.Filho2006,
Title = {Microbacia hidrográfica do riacho Vazante, Aratuba, Ceará: solos, uso e percepção dos agricultores},
Author = {Evaldo Tavares Souza.Filho},
Pages = {67},
School = {Universidade Federal de Viçosa},
Year = {2006},
Owner = {Alessandro Samuel Rosa},
Timestamp = {14.02.2010}
}
@Article{Spain1990,
Title = {Influence of environmental conditions and some soil chemical properties on the carbon and nitrogen contents of some tropical Australian rainforest soils},
Author = {Spain, A.V.},
Journal = {Australian Journal of Soil Research},
Pages = {825-839},
Volume = {28},
Year = {1990},
Owner = {Administrador},
Timestamp = {2011.01.06},
Url = {http://www.publish.csiro.au/?paper=SR9900825}
}
@Book{Sparks2003,
Title = {Environmental soil chemistry},
Author = {Donald L. Sparks},
Pages = {352},
Publisher = {San Diego: Academic Press},
Year = {2003},
Edition = {2},
File = {Sparks2003.pdf:Book/Sparks2003.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Article{SparlingEtAl2003,
Title = {Three approaches to define desired soil organic matter contents},
Author = {G. Sparling and R. L. Parfitt and A. E. Hewitt and L. A. Schipper},
Journal = {Journal of Environmental Quality},
Pages = {760-766},
Volume = {32},
Year = {2003},
Abstract = {Soil organic C is often suggested as an indicator of soil quality, but desirable targets are rarely specified. We tested three approaches to define maximum and lowest desirable soil C contents for four New Zealand soil orders. Approach 1 used the New Zealand National Soils Database (NSD). The maximum C content was defined as the median value of long-term pastures, and the lower quartile defined the lowest desirable soil C content. Approach 2 used the CENTURY model to predict maximum C contents of long-term pasture. Lowest desirable content was defined by the level that still allowed recovery to 80% of the maximum C content over 25 yr. Approach 3 used an expert panel to define desirable C contents based on production and environmental criteria. Median C contents (0?20 cm) for the Recent, Granular, Melanic, and Allophanic orders were 72, 88, 98, 132 Mg ha?1, and similar to contents predicted by the CENTURY model (78, 93, 102, and 134 Mg ha?1, respectively). Lower quartile values (54, 78, 73, and 103 Mg ha?1, respectively) were similar to the lowest desirable C contents calculated by CENTURY (55, 54, 67, and 104 Mg ha?1, respectively). Expert opinion was that C contents could be depleted below these values with tolerable effects on production but less so for the environment. The CENTURY model is our preferred approach for setting soil organic C targets, but the model needs calibrating for other soils and land uses. The statistical and expert opinion approaches are less defensible in setting lower limits for desirable C contents.},
Doi = {10.2134/jeq2003.7600},
Owner = {Alessandro},
Timestamp = {2011.01.03}
}
@Article{Spiegelhalter1986,
Title = {Probabilistic prediction in patient management and clinical trials},
Author = {Spiegelhalter, D. J.},
Journal = {Statistics in Medicine},
Pages = {421–433},
Volume = {5},
Year = {1986},
Month = {Sep},
Number = {5},
Doi = {10.1002/sim.4780050506},
ISSN = {1097-0258},
Owner = {alessandro},
Publisher = {Wiley-Blackwell},
Timestamp = {01.07.2014}
}
@Book{Sposito2008,
Title = {The chemistry of soils},
Author = {Garrison Sposito},
Pages = {339},
Publisher = {New York: Oxford University Press},
Year = {2008},
Edition = {2},
File = {Sposito2008.pdf:Book/Sposito2008.pdf:PDF},
Keywords = {soil concept;},
Owner = {Administrador},
Timestamp = {2011.01.08}
}
@Book{Sposito1994,
Title = {Chemical equilibria and kinetics in soils},
Author = {Garrison Sposito},
Pages = {268},
Publisher = {New York, USA: Oxford University Press},
Year = {1994},
Edition = {1},
File = {Sposito1994.pdf:Book/Sposito1994.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Article{Sribney2011,
Title = {Problems with stepwise regression},
Author = {Bill Sribney},
Journal = {StataCorp. Disponível em <http://www.stata.com/support/faqs/stat/stepwise.html>. Acesso em 24 de junho de 2012},
Year = {2011},
File = {Sribney2011.pdf:Sribney2011.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.24}
}
@Article{SrinivasanEtAl2003,
Title = {Erosão hídrica do solo no semi-árido brasileiro: a experiência na bacia experimental de Sumé},
Author = {Vajapeyam S. Srinivasan and Celso Augusto Guimarães Santos and Carlos Oliveira Galvão},
Journal = {Revista Brasileira de Recursos Hídricos},
Pages = {57-73},
Volume = {8},
Year = {2003},
Abstract = {O presente trabalho tem como finalidade apresentar a experiência obtida em duas décadas com os estudos de medição do escoamento superficial e da erosão do solo causada pela chuva natural na região semi-árida da Paraíba. Os estudos foram realizados na Bacia Experimental de Sumé, que foi instalada numa das sub-bacias da Bacia Representativa de Sumé. O trabalho de implantação, iniciado em 1981 pela então Superintendência do Desenvolvimento do Nordeste (SUDENE) com o apoio do ORSTOM (França) e do CNPq, contava com nove parcelas de erosão de 100 m2 com diferentes coberturas e declividades e quatro microbacias de aproximadamente 0,5 ha de área, além de várias parcelas de 1 m 2 sob chuva simulada. Duas das microbacias estavam desmatadas, enquanto as outras estavam cobertas pela vegetação nativa (Caatinga). Com os dados coletados, foram realizados análises e estudos comparativos do escoamento superficial e erosão do solo entre as diversas unidades de experimento. Os resultados reforçam a necessidade de técnicas de modelagem para a previsão do escoamento e erosão proveniente. Foram utilizados diversos modelos para avaliar o escoamento e os resultados em geral foram bastante satisfatórios. No caso da erosão do solo, foi utilizado um modelo distribuído hidrodinâmico. Apresenta-se uma discussão sobre os diversos aspectos deste processo de modelagem e acredita-se que esta experiência pode ser muito útil na avaliação da erosão hídrica na região semi-árida do Nordeste brasileiro.},
Keywords = {semi-árido; modelagem; erosão; escoamento superficial},
Owner = {pccli},
Timestamp = {2011.07.12},
Url = {http://www.abrh.org.br/novo/detalha.php?id=537&t=Eros%E3o+H%EDdrica+do+Solo+no+Semi-%E1rido+Brasileiro%3A+A+Experi%EAncia+na+Bacia+Experimental+de+Sum%E9}
}
@Mastersthesis{Sturmer2008,
Title = {Water infiltration in {N}eossolos {R}egolíticos ({R}egossols) in the {P}lateau {E}dge of {R}io {G}rande do {S}ul {S}tate},
Address = {Santa Maria},
Author = {Sidinei Leandro Klockner St\"{u}rmer},
Pages = {104},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2008},
Abstract = {Neossolos Regolíticos (Regosols/Entisols), even is being successfully used from an economical perspective with horticulture and reforestation, are fragile from a natural resource perspective because their small depth, presence of stones and/or rocks, near surface lithic contact, fractures in saprolite and frequent occurrence in steep slopes. Neossolos have been classified as materials of low potential use, which in partcaused inadequate morphological field description by soil survey teams. Population growth and urban expansion requires over areas with Neossolos require larger volume of data and a more specific analysis for abetter interpretation of these soils capacity to filtrate water, retain and transform solute and water contributing to the maintenance of the water quality that reaches the underground reservoirs. In that sense thisstudy was an attempt to generate information on Neossolos from the edge of the Plateau of Rio Grande do Sul State. Five Neossolos profiles were studied regarding their chemical (pH, soil organic carbon, bases and aluminum saturation, cations exchange capacity); physical (aggregation, bulk density of soil and saprolite, pore space, size distribution of soil particles, water storage capacity of thesaprolite,fractures in the saprolite) and morphologic (profile thickness, soil color, consistence) analyses were performed. A correlation analysis of these attributes with the water infiltration in soil resulted thatthere were great variations in the hidraulic behavior among the Neossolos sampled in different location as well as among the replications in the same location. The main components analysis indicated thatthe soil water infiltration has strong relationship with the total porosity, angles of fractures in the saprolite and with the distribution of the particle size fractions of the soil.},
File = {:dissertação/Stürmer_Dissertação_2008.pdf:PDF},
Keywords = {Pedology, soil classification; saprolite; physic characteristics; dnos; rebordo do planalto; soil survey; santa maria;},
Owner = {Administrador},
Timestamp = {2011.01.19},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Manual{StackliesEtAl2013,
Title = {\texttt{pcaMethods}. A collection of PCA methods},
Address = {Viena},
Author = {Wolfram Stacklies and Henning Redestig and Kevin Wright},
Pages = {69},
Publisher = {R Project},
Year = {2013},
File = {StackliesEtAl2013.pdf:StackliesEtAl2013.pdf:PDF},
Keywords = {principal component analysis; Cross-validation;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.07},
Url = {http://www.bioconductor.org/packages/2.11/bioc/html/pcaMethods.html}
}
@Inproceedings{StallmannEtAl2011,
Title = {An open source implementation of automated orthorectification using a rational polynomial coefficients model},
Author = {Christoph Stallmann and James Meyer and Laurette Pretorius and Francois Maass},
Booktitle = {Proceedings of the AfricaGEO 2011},
Pages = {12},
Year = {2011},
Address = {Cape Town},
Abstract = {Every day, thousands of satellite and aerial photographs are taken for the use in domains such as GIS analysis and city planning. These images are subject to distortion due to camera tilt and ground relief. In order to use the imagery, this distortion must be corrected by creating a top-down view of the source image. This process is called orthorectification and enables the end-user to accurately measure real distances, angles and areas. In our paper we present an open source implementation for automated orthorectification using a set of cross-referenced Ground Control Points (GCPs), called AutoGCP. Commercial software packages providing automated orthorectification are either extremely expensive or inaccurate in detecting GCPs. Manual GCP selection on the other hand is labour intensive and may result in warped images, due to misplaced GCPs. The openness of the source code allows for continuous improvements and by using academically proven algorithms and calculations, AutoGCP provides a trusted implementation that can be verified. In our paper we firstly explain the theoretical process of detecting and extracting GCPs from a previously orthorectified reference image, cross-referencing these points with the distorted raw image and finally correcting the raw image, creating an ortho-image. Secondly, the practical implementation of the above-mentioned processes is discussed. The AutoGCP C++ library extends the existing open source Quantum GIS (QGIS) library and a Python plug-in for QGIS provides an aesthetical frontend interface for the automated orthorectification processes.},
File = {StallmannEtAl2011.pdf:StallmannEtAl2011.pdf:PDF},
Institution = {CONSAS},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.11},
Url = {http://africageodownloads.info/091_stallman_meyer_pretorius_maass.pdf}
}
@Article{StampsEtAl2004,
Title = {Perceived enclosure of space, angle above observer, and distance to boundary},
Author = {Stamps, A E III and Krishnan, VV},
Journal = {Perceptual and Motor Skills},
Pages = {1187-1192},
Volume = {99},
Year = {2004},
Abstract = {Most previous research suggests that the horizontal size of a space has a strong effect on the perception of enclosure, but Hayward and Franklin reported in 1974 that the main determinant of perceived enclosure was the ratio of boundary height (H) over the distance to boundary (D) rather than just the boundary height per se or distance per se. We attempted replication of that finding. Students (41 male, mean age=24.7 yr., SD=7.7) rated 16 images on a scale of open/enclosed. There was a strong effect on impressions of enclosure for angle above observer (r = .91), and this effect was larger than the effect of height (r = -.17), but there also was another strong effect for distance (r = -.68). Moreover, the effect of distance was dependent on angle above observer (r = -.52). Thus, partial replication was achieved, and a new relationship between the geometry of environments and perceived enclosure was identified.},
Doi = {10.2466/PMS.99.7.1187-1192},
File = {StampsEtAl2004.pdf:StampsEtAl2004.pdf:PDF},
Issue = {7},
Keywords = {psychology; space; perception; distance; environment;},
Masid = {38978207}
}
@Electronic{StatSoft2011,
Title = {Distribution Fitting (Available at http://www.statsoft.com/textbook/distribution-fitting/; Accessed in January/27/2010)},
Author = {StatSoft},
HowPublished = {Online},
Year = {2011},
Owner = {Administrador},
Timestamp = {2011.01.27}
}
@Article{Steen1988,
Title = {The science of patterns},
Author = {Lynn Arthur Steen},
Journal = {Science},
Pages = {611-616},
Volume = {240},
Year = {1988},
File = {Steen1988.pdf:Steen1988.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.23}
}
@Article{Stehman1999,
Title = {Basic probability sampling designs for thematic map accuracy assessment},
Author = {Stehman, Stephen V.},
Journal = {International Journal of Remote Sensing},
Pages = {2423 - 2441},
Volume = {20},
Year = {1999},
Number = {12},
Abstract = {Abstract . Choosing a sampling design for assessing thematic map accuracy requires the strength of a sampling design to be matched to the objectives and resources available for the accuracy assessment. The criteria to consider when planning the sampling design are that the sample should: (1) satisfy probability sampling protocol; (2) be simple to implement and analyse; (3) result in low variance for the key estimates of the assessment; (4) permit adequate variance estimation; (5) be spatially well distributed; and (6) be cost effective. Several basic probability sampling designs useful for accuracy assessment are reviewed, and recommendations are provided to guide the selection of an appropriate design. [ABSTRACT FROM AUTHOR]},
File = {Stehman1999.pdf:International Journal of Remote Sensing/Stehman1999.pdf:PDF},
ISSN = {01431161},
Keywords = {cartography, thematic maps, probability measures},
Url = {http://search.ebscohost.com.ez47.periodicos.capes.gov.br/login.aspx?direct=true&db=aph&AN=3844742&lang=pt-br&site=ehost-live}
}
@Article{StehmanEtAl1998,
Title = {Design and analysis for thematic map accuracy assessment: fundamental principles},
Author = {Stephen V. Stehman and Raymond L. Czaplewski},
Journal = {Remote Sensing of Environment},
Pages = {331 - 344},
Volume = {64},
Year = {1998},
Number = {3},
Abstract = {Before being used in scientific investigations and policy decisions, thematic maps constructed from remotely sensed data should be subjected to a statistically rigorous accuracy assessment. The three basic components of an accuracy assessment are: 1) the sampling design used to select the reference sample; 2) the response design used to obtain the reference land-cover classification for each sampling unit; and 3) the estimation and analysis procedures. We discuss options available for each of these components. A statistically rigorous assessment requires both a probability sampling design and statistically consistent estimators of accuracy parameters, along with a response design determined in accordance with features of the mapping and classification process such as the land-cover classification scheme, minimum mapping unit, and spatial scale of the mapping.},
Doi = {10.1016/S0034-4257(98)00010-8},
File = {StehmanEtAl1998.pdf:StehmanEtAl1998.pdf:PDF},
ISSN = {0034-4257},
Keywords = {cluster sampling;},
Url = {http://www.sciencedirect.com/science/article/pii/S0034425798000108}
}
@Article{Steiger1980,
Title = {Tests for comparing elements of a correlation matrix},
Author = {Steiger, J.H.},
Journal = {Psychological Bulletin},
Pages = {245-251},
Volume = {87},
Year = {1980},
Abstract = {In psychological research, it is desirable to be able to make statistical comparisons between correlation coefficients measured on the same individuals. For example, an experimenter (E) may wish to assess whether 2 predictors correlate equally with a criterion variable. In another situation, the E may wish to test the hypothesis that an entire matrix of correlations has remained stable over time. The present article reviews the literature on such tests, points out some statistics that should be avoided, and presents a variety of techniques that can be used safely with medium to large samples. Several numerical examples are provided.},
Doi = {10.1037/0033-2909.87.2.245},
File = {Steiger1980.pdf:Psychological Bulletin/Steiger1980.pdf:PDF},
Keywords = {tests for comparing elements of correlation matrix, literature review},
Owner = {Alessandro},
Timestamp = {2011.03.24}
}
@Phdthesis{Stein1991,
Title = {Spatial Interpolation},
Author = {Stein, A.},
Pages = {236},
School = {Landbouwuniversiteit Wageningen},
Year = {1991},
File = {Stein1991.pdf:Stein1991.pdf:PDF},
Keywords = {Sampling; Design; Optimization; Nested; Spatial; DSM; Pedometrics;},
Url = {http://edepot.wur.nl/202826}
}
@Article{SteinEtAl2003,
Title = {An overview of spatial sampling procedures and experimental design of spatial studies for ecosystem comparisons},
Author = {Alfred Stein and Christien Ettema},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {31-47},
Volume = {94},
Year = {2003},
Abstract = {Comparison of ecosystems and land use studies often require the use of non-classical statistics. This paper describes modern ways of approaching optimal sampling for ecological and environmental purposes. The first part of the paper deals with a description of different sampling procedures. A distinction is made between sampling surveys, optimal grid spacing and adaptive sampling. The second part of the manuscript uses a simulated example to illustrate the different sampling procedures. The third part contains an actual field study where various constraints were met that had to be incorporated in the lay out of the sampling scheme. Optimal statistical sampling procedures can be implemented and utilized to collect maximum information from limited resources.},
File = {SteinEtAl2003.pdf:Agriculture Ecosystems and Environment/SteinEtAl2003.pdf:PDF},
Keywords = {Optimal sampling; Adaptive sampling; Bio-diversity; Experimental design; Soil biota; Spatial simulations},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0167880902000130}
}
@Article{Stein1987,
Title = {Large sample properties of simulations using {L}atin hypercube sampling},
Author = {Stein, Michael},
Journal = {Technometrics},
Pages = {143--151},
Volume = {29},
Year = {1987},
Month = {May},
Number = {2},
Doi = {10.1080/00401706.1987.10488205},
File = {Stein1987.pdf:Stein1987.pdf:PDF},
ISSN = {1537-2723},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro},
Publisher = {Informa UK Limited}
}
@Book{Stein1999,
Title = {Interpolation of spatial data: some theory for kriging},
Address = {New York},
Author = {Stein, Michael L},
Pages = {247},
Publisher = {Springer},
Year = {1999},
ISBN = {978-1-4612-1494-6},
Keywords = {Matérn; REML; Cressie; PhDpaper1},
Owner = {alessandro},
Url = {http://www.springer.com/mathematics/probability/book/978-0-387-98629-6}
}
@Article{Stein1988,
Title = {Asymptotically efficient prediction of a random field with a misspecified covariance function},
Author = {Stein, Michael L.},
Journal = {The Annals of Statistics},
Pages = {pp. 55-63},
Volume = {16},
Year = {1988},
Number = {1},
Abstract = {Best linear unbiased predictors of a random field can be obtained if the covariance function of the random field is specified correctly. Consider a random field defined on a bounded region R. We wish to predict the random field z(·) at a point x in R based on observations z(x1), z(x2), ..., z(xN) in R, where {xi}∞ i = 1 has x as a limit point but does not contain x. Suppose the covariance function is misspecified, but has an equivalent (mutually absolutely continuous) corresponding Gaussian measure to the true covariance function. Then the predictor of z(x) based on z(x1), ..., z(xN) will be asymptotically efficient as N tends to infinity.},
Copyright = {Copyright © 1988 Institute of Mathematical Statistics},
File = {Stein1988.pdf:Stein1988.pdf:PDF},
ISSN = {00905364},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Mar., 1988},
Keywords = {Variogram;},
Language = {English},
Owner = {alessandro},
Publisher = {Institute of Mathematical Statistics},
Url = {http://www.jstor.org/stable/2241422}
}
@Book{Steinhauser2007,
Title = {Computational Multiscale Modeling of Fluids and Solids: Theory and Applications},
Author = {Martin Steinhauser},
Publisher = {Springer},
Year = {2007},
File = {Steinhauser2007.pdf:Steinhauser2007.pdf:PDF},
ISBN = {3540751165},
Owner = {alessandro},
Url = {http://www.springer.com/physics/theoretical,+mathematical+%26+computational+physics/book/978-3-540-75116-8}
}
@Techreport{SternEtAl1999,
Title = {Summary of experimental uncertainty assessment methodology with example},
Address = {Iowa City},
Author = {Fred Stern and Marian Muste and Maria-Laura Beninati and William E. Eichinger},
Year = {1999},
File = {SternEtAl1999.pdf:techreport/SternEtAl1999.pdf:PDF},
Institution = {Iowa Institute of Hydraulic Research, College of Engineering, The University of Iowa},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.18}
}
@Article{StevensEtAl2003,
Title = {Variance estimation for spatially balanced samples of environmental resources},
Author = {Stevens, Don L. and Olsen, Anthony R.},
Journal = {Environmetrics},
Pages = {593--610},
Volume = {14},
Year = {2003},
Number = {6},
Abstract = {The spatial distribution of a natural resource is an important consideration in designing an efficient survey or monitoring program for the resource. We review a unified strategy for designing probability samples of discrete, finite resource populations, such as lakes within some geographical region; linear populations, such as a stream network in a drainage basin, and continuous, two-dimensional populations, such as forests. The strategy can be viewed as a generalization of spatial stratification. In this article, we develop a local neighborhood variance estimator based on that perspective, and examine its behavior via simulation. The simulations indicate that the local neighborhood estimator is unbiased and stable. The Horvitz–Thompson variance estimator based on assuming independent random sampling (IRS) may be two times the magnitude of the local neighborhood estimate. An example using data from a generalized random-tessellation stratified design on the Oahe Reservoir resulted in local variance estimates being 22 to 58 percent smaller than Horvitz–Thompson IRS variance estimates. Variables with stronger spatial patterns had greater reductions in variance, as expected. Copyright © 2003 John Wiley & Sons, Ltd.},
Doi = {10.1002/env.606},
File = {StevensEtAl2003.pdf:StevensEtAl2003.pdf:PDF},
ISSN = {1099-095X},
Keywords = {spatial sampling, Horvitz–Thompson, environmental monitoring},
Publisher = {John Wiley \& Sons, Ltd.},
Url = {http://dx.doi.org/10.1002/env.606}
}
@Book{Stevenson1994,
Title = {Humus chemistry: Genesis, composition, and reaction},
Author = {Stevenson, F. J.},
Pages = {496},
Publisher = {New York: John Wiley and Sons},
Year = {1994},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@Techreport{StolbovoyEtAl2005,
Title = {Soil sampling protocol to certify the changes of organic carbon stock in mineral soils of european union},
Author = {Vladimir Stolbovoy and Luca Montanarella and Nicola Filippi and Senthil-Kumar Selvaradjou and Panos Panagos and Javier Gallego},
Pages = {12},
Publisher = {Office for Official Publications of the European Communities},
Year = {2005},
Editor = {Institute for Environment and Sustainability},
Institution = {Office for Official Publications of the European Communities, Luxemburgo},
Owner = {Administrador},
Timestamp = {2010.12.05}
}
@Article{StoorvogelEtAl2009,
Title = {Implementation and evaluation of existing knowledge for digital soil mapping in Senegal},
Author = {J.J. Stoorvogel and Bas Kempen and Gerard B M Heuvelink and de Bruin, S},
Journal = {Geoderma},
Pages = {161-170},
Volume = {149},
Year = {2009},
Number = {1–2},
Abstract = {Digital soil mapping approaches that require quantitative data for prediction are difficult to implement in countries with limited data on soil and auxiliary variables. However, in many such cases there is a wealth of qualitative information available, such as profile descriptions, catenas or general purpose soil surveys. This type of information opens possibilities for more qualitative approaches to digital soil mapping when quantitative mapping is unfeasible. In this study we used a classification tree approach combined with literature and a small dataset of 40 point SOC observations to map the topsoil organic carbon (SOC) content for a data-poor environment in the Senegalese Peanut Basin. A literature review provided an overview of the driving factors of soil variability in the Peanut Basin. Geomorphology, topography, vegetation, and land use were identified as the main factors explaining the spatial variation of SOC in the Peanut Basin. These factors were represented in a classification tree by variables that were derived from a digital elevation model and a satellite image. Threshold values and actual predictions for the classification tree were based on literature and the small soil dataset. Next the classification tree was used to create a map of SOC for the study area. Using cluster random sampling, 155 locations were sampled for validation. Validation of the model results showed a poor model performance with large prediction errors. Error analysis showed that although the variables that were used to predict SOC were important sources of variability, a larger soil dataset is needed to better calibrate the classification tree model. Calibration of the classification tree on the basis of the validation dataset produced much improvement and acceptable results after cross-validation. It is concluded that digital soil mapping on the basis of existing knowledge and general auxiliary information is feasible, provided that a sufficiently large and appropriately collected soil dataset is available for calibration.},
Doi = {10.1016/j.geoderma.2008.11.039},
File = {StoorvogelEtAl2009.pdf:StoorvogelEtAl2009.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Digital soil mapping; Senegal; Classification tree; Soil organic matter; redemds; Cluster Random Sampling}
}
@Mastersthesis{Strantzalis2014,
Title = {Criterion-based generalization of raster categorical maps},
Address = {Wageningen},
Author = {Athanasios Strantzalis},
Pages = {79},
School = {Wageningen University and Research Centre},
Year = {2014},
File = {Strantzalis2014.pdf:Strantzalis2014.pdf:PDF}
}
@Book{StreckEtAl2008,
Title = {{Solos do Rio Grande do Sul}},
Address = {Porto Alegre},
Author = {Streck, E. V. and K\"ampf, N. and Dalmolin, R. S. and Klamt, E. and Nascimento, P. C. and Schneider, P. Giasson, E and Pinto, L. F.},
Pages = {222},
Publisher = {EMATER/RS},
Year = {2008},
Edition = {2},
Owner = {Administrador},
Timestamp = {2011.01.05}
}
@Article{Streck2005,
Title = {Climate change and agroecosystems: the effect of elevated atmospheric CO2 and temperature on crop growth, development, and yield.},
Author = {Nereu Augusto Streck},
Journal = {Ciência Rural},
Pages = {730-740},
Volume = {35},
Year = {2005},
Abstract = {The amount of carbon dioxide (CO 2 ) of the Earth?s atmosphere is increasing, which has the potential of increasing greenhouse effect and air temperature in the future. Plants respond to environment CO 2 and temperature. Therefore, climate change may affect agriculture. The purpose of this paper was to review the literature about the impact of a possible increase in atmospheric CO 2 concentration and temperature on crop growth, development, and yield. Increasing CO 2 concentration increases crop yield once the substrate for photosynthesis and the gradient of CO 2 concentration between atmosphere and leaf increase. C3 plants will benefit more than C4 plants at elevated CO 2 . However, if global warming will take place, an increase in temperature may offset the benefits of increasing CO 2 on crop yield.},
File = {:Ciência Rural/Streck_Cienc Rural_2005.pdf:PDF},
Keywords = {global warming, photosynthesis, agriculture, food supply},
Owner = {Administrador},
Timestamp = {2010.12.29},
Url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=s0103-84782005000300041}
}
@Article{StreckEtAl2006,
Title = {Simulation of potato cultivar {A}sterix development under five climate change scenarios in {S}anta {M}aria},
Author = {Streck, Nereu Augusto AND Lago, Isabel AND Alberto, Cleber Maus AND Bisognin, Dilson Antônio},
Journal = {Bragantia},
Pages = {693 - 702},
Volume = {65},
Year = {2006},
Month = {00},
Abstract = {Em estudos do impacto de mudanças climáticas sobre agroecossistemas, um aspecto importante a quantificar é o efeito do aquecimento global sobre o desenvolvimento vegetal. O objetivo desse trabalho foi simular o impacto de cenários climáticos de aumento de temperatura do ar no desenvolvimento da batata (Solanum tuberosum L.), em Santa Maria, (RS). Cenários meteorológicos de mudanças climáticas (+2 °C, +3 °C, +4 °C, +5 °C e +6 °C) para os próximos cem anos foram gerados com Weather Generator LARS-WG usando-se como base a série de dados meteorológicos observados de 1969 a 2003, em Santa Maria, RS. Por meio de um modelo matemático, calculou-se a taxa diária de desenvolvimento da planta e a data dos principais estágios de desenvolvimento da batata, cv. Asterix: emergência, início de tuberização, início de senescência e colheita. Foram consideradas duas épocas de cultivo da batata, o cultivo de outono (plantio em 10/2) e o cultivo de primavera (plantio em 20/7). Verificou-se, para o cultivo de outono, um grande aumento (até 42 dias) no ciclo total (emergência-colheita) com o aumento da temperatura do ar. Já para o cultivo de primavera, obteve-se uma tendência de um pequeno encurtamento (5-8 dias) do ciclo total da batata com o aumento da temperatura média do ar, dependendo do nível de aquecimento. Fases intermediárias do desenvolvimento da batata poderão ter alterações que dependem da época de cultivo. Essas diferentes tendências no comportamento do desenvolvimento da batata refletem a complexidade da resposta dos agroecossistemas à mudança climática.},
Doi = {10.1590/S0006-87052006000400021},
File = {StreckEtAl2006.pdf:Bragantia/StreckEtAl2006.pdf:PDF},
ISSN = {0006-8705},
Keywords = {Aquecimento global, risco climático, previsão climática, fenologia.},
Language = {pt},
Publisher = {scielo},
Url = {http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052006000400021&nrm=iso}
}
@Article{Strong1991,
Title = {Theory-driven science and naive empiricism in counseling psychology},
Author = {Stanley R. Strong},
Journal = {Journal of Counseling Psychology},
Pages = {204-210},
Volume = {38},
Year = {1991},
Abstract = {Counseling psychologists' aversion to theory-driven science and their enthusiasm for naive empiricism impede scientific progress. For the scientist who endorses theory-driven science, causes are emergent entities that arise from the relations among the elements in events, all events are lawful, and the purpose of research is to test and evolve theories. For the scientist who endorses naive empiricism, the causes of events are the essences of the elements in events, only frequent events are lawful, and the purpose of research is to identify regularities from unbiased observations. The consequences of these differences are described in terms of the impossibility of unbiased observation, the importance of theory to give facts meaning, the role of research methods, and the way in which scientific products are applied. The theory-driven science, an unending cycle of discovery and testing creates and evolves theories of ever increasing scope that can guide counseling practice.},
File = {Strong1991.pdf:Journal of Counseling Psycology/Strong1991.pdf:PDF},
Keywords = {filosofia, stepwise; multiple comparison},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.13},
Url = {http://psycnet.apa.org/journals/cou/38/2/204.html}
}
@Article{Stroosnijder2005,
Title = {Measurement of erosion: Is it possible?},
Author = {Leo Stroosnijder},
Journal = {Catena},
Pages = {162-173},
Volume = {64},
Year = {2005},
Abstract = {Reasons for erosion measurements are: (1) to determine the environmental impact of erosion and conservation practices, (2) scientific erosion research; (3) development and evaluation of erosion control technology; (4) development of erosion prediction technology and (5) allocation of conservation resources and development of conservation regulations, policies and programs. A handicap for the control of the insidious erosion process is the difficulty of determining its magnitude. Four causes are often mentioned in the literature: the large temporal and spatial variation of erosion, the paucity of accurate erosion measurements, the problem of extrapolating data from small plots to higher scales and the conversion of erosion into production and monetary units (impact). It is an illusion to think that the role of measurements can be taken over by the application of erosion prediction technology. Measurements are needed to develop, calibrate and validate that technology. Measurement techniques differ in accuracy, equipment and personnel cost. The most accurate (and often most expensive) techniques do not always serve the measurement purpose. This paper gives a critical overview of current measurements techniques for erosion at different spatial and temporal scales. Examples are presented of techniques for direct measurements as well as for indirect measurements, i.e. measurements of soil properties that serve as input for models. The paper is concluded with a critical evaluation.},
Doi = {10.1016/j.catena.2005.08.004},
File = {Stroosnijder2005.pdf:Catena/Stroosnijder2005.pdf:PDF},
Keywords = {Erosion; Assessment; Measurement; Equipment},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.07.2010}
}
@Article{Suits1957,
Title = {Use of Dummy Variables in Regression Equations},
Author = {Suits, Daniel B.},
Journal = {Journal of the American Statistical Association},
Pages = {pp. 548-551},
Volume = {52},
Year = {1957},
Number = {280},
Abstract = {The use of dummy variables requires the imposition of additional constraints on the parameters of regression equations if determinate estimates are to be obtained. Among the possible constraints the most useful are (a) to set the constant term of the equation to zero, or (b) to omit one of the dummy variables from the equation. In working with a single system of classes either constraint can be used, and results from the application of one are readily derived from those obtained from the other. If several systems of classes are involved the best procedure is to delete one dummy variable from each system.},
Copyright = {Copyright © 1957 American Statistical Association},
ISSN = {01621459},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Dec., 1957},
Language = {English},
Publisher = {American Statistical Association},
Url = {http://www.jstor.org/stable/2281705}
}
@Article{SumflethEtAl2008,
Title = {Prediction of soil property distribution in paddy soil landscapes using terrain data and satellite information as indicators},
Author = {Kay Sumfleth and Rainer Duttmann},
Journal = {Ecological Indicators},
Pages = {485-501},
Volume = {8},
Year = {2008},
Abstract = {Sustainable land management and land use planning require reliable information about the spatial distribution of the physical and chemical soil properties affecting both landscape processes and services. Although many studies have been conducted to identify the spatial patterns of soil property distribution on various scales and in various landscapes, only little is known about the relationships underlying the spatial distribution of soil properties in intensively used, finely structured paddy soil landscapes in the southeastern part of China. In order to provide adequate soil information for the modelling of landscape processes, such as soil water movement, nutrient leaching, soil erosion and plant growth, this study investigates to what extent cheap and readily available ancillary information derived from digital elevation models and remote sensing data can be used to support soil mapping and to indicate soil characteristics on the landscape scale. This article focuses on the spatial prediction of the total carbon and nitrogen content and of physical soil properties such as topsoil silt, sand and clay content, topsoil depth and plough pan thickness. Correlation analyses indicate that, on the one side, the distribution of C, N and silt contents is quite closely related to the NDVI of vegetated surfaces and that, on the other side, it corresponds significantly to terrain attributes such as relative elevation, elevation above nearest drainage channel and topographical wetness index. Geostatistical analyses furthermore reflect a moderately structured spatial correlation of these soil variables. The combined use of the above mentioned terrain variables and the NDVI in a multiple linear regression accounted for 29% (silt) to 41% (total C) of the variance of these soil properties. In order to select the best prediction method to accurately map soil property distribution, we compared the performance of different regionalization techniques, such as multi-linear regression, simple kriging, inverse distance to a power, ordinary kriging and regression kriging. Except for the prediction of topsoil clay content, in all cases regression kriging model ??C?? performed best. Compared to simple kriging, the spatial prediction was improved by up to 14% (total C), 13% (total N) and 10% (silt). Since the autocorrelation lengths of these spatially well correlated soil variables range between three and five times the soil sampling density, we consider regression kriging model ??C?? to be a suitable method for reducing the soil sampling density. It should help to save time and costs when doing soil mapping on the landscape scale, even in intensively used paddy soil landscapes.},
Doi = {10.1016/j.ecolind.2007.05.005},
File = {:Ecological Indicators/Sumfleth and Duttmann_Ecol Indic_2008.pdf:PDF},
Keywords = {Paddy soil landscape, Regionalization, Regression kriging, Predictive soil mapping, Soil property distribution, redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{SunEtAl2012,
Title = {Analysis and prediction of soil properties using local regression-kriging},
Author = {Wei Sun and Budiman Minasny and Alex McBratney},
Journal = {Geoderma},
Pages = {16 - 23},
Volume = {171?172},
Year = {2012},
Note = {<ce:title>Entering the Digital Era: Special Issue of Pedometrics 2009, Beijing</ce:title>},
Number = {0},
Abstract = {Regression-kriging (RK) is becoming an important tool in geostatistics because of the availability of many covariates at high spatial resolution with the advancement in proximal and remote-sensing with positioning technologies. This paper presents the application of a new local RK algorithm for prediction of soil properties. The algorithm was tested using 985 observations for prediction of soil pH, clay content and carbon content in the lower Hunter Valley of New South Wales in Australia. Environmental covariates for the area were compiled. First, the covariates used in regression analysis for each of the soil properties were obtained through a step-wise regression analysis. Secondly, different spatial prediction methods were examined. Finally, the prediction efficiency of various techniques was tested at validation sites using the standardised squared deviation as a measure of the goodness of theoretical estimates. The results from validation showed that the local RK method does not always present the best predictions, but for specific cases it may be highly accurate. We conclude that local RK performance depends on the actual soil and environmental factor relationships, and in general performs no worse than global RK. Furthermore, the advantage of local RK is that it can provide an approach to understand how much the regression models and variogram models change across a region. We have developed a software programme named RKGuider to carry out the local RK steps automatically. Further investigation and numerous datasets are required to verify the algorithm.},
Doi = {10.1016/j.geoderma.2011.02.010},
File = {SunEtAl2012.pdf:Geoderma/SunEtAl2012.pdf:PDF},
Keywords = {Local regression-kriging, redemds, stepwise}
}
@Article{SunEtAl2012a,
Title = {Evaluation of a local regression kriging approach for mapping apparent electrical conductivity of soil (ECa) at high resolution},
Author = {Sun, Wei and Whelan, Brett M. and Minasny, Budiman and McBratney, Alex B.},
Journal = {Journal of Plant Nutrition and Soil Science},
Pages = {212-220},
Volume = {175},
Year = {2012},
Number = {2},
Abstract = {Apparent electrical conductivity of soil (ECa) is a property frequently used as a diagnostic tool in precision agriculture, and is measured using vehicle-mounted proximal sensors. Crop-yield data, which is measured by harvester-mounted sensors, is usually collected at a higher spatial density compared to ECa. ECa and crop-yield maps frequently exhibit similar spatial patterns because ECa is primarily controlled by the soil clay content and the interrelated soil moisture content, which are often significant contributors to crop-yield potential. By quantifying the spatial relationship between soil ECa and crop yield, it is possible to estimate the value of ECa at the spatial resolution of the crop-yield data. This is achieved through the use of a local regression kriging approach which uses the higher-resolution crop-yield data as a covariate to predict ECa at a higher spatial resolution than would be prudent with the original ECa data alone. The accuracy of the local regression kriging (LRK) method is evaluated against local kriging (LK) and local regression (LR) to predict ECa. The results indicate that the performance of LRK is dependent on the performance of the inherent local regression. Over a range of ECa transect survey densities, LRK provides greater accuracy than LK and LR, except at very low density. Maps of the regression coefficients demonstrated that the relationship between ECa and crop yield varies from year to year, and across a field. The application of LRK to commercial scale ECa survey data, using crop yield as a covariate, should improve the accuracy of the resultant maps. This has implications for employing the maps in crop-management decisions and building more robust calibrations between field-gathered soil ECa and primary soil properties such as clay content.},
Doi = {10.1002/jpln.201100005},
File = {SunEtAl2012a.pdf:Journal of Plant Nutrition and Soil Science/SunEtAl2012a.pdf:PDF},
Keywords = {apparent electrical conductivity, yield, regression analysis, local regression kriging, redemds}
}
@Electronic{USGS2012a,
Title = {Shuttle Radar Topography Mission (SRTM) - "Finished"},
Author = {United States Geological Survey},
HowPublished = {Online},
Month = {October},
Note = {Online},
Organization = {United States Geological Survey},
Url = {http://eros.usgs.gov/%23/Find_Data/Products_and_Data_Available/SRTM},
Year = {2012},
Owner = {mds},
Timestamp = {2012.12.14}
}
@Article{SutiliEtAl2009,
Title = {Hidrografia de {S}anta {M}aria},
Author = {F J Sutili and M A Durlo and D A Bressan},
Journal = {Ciência e Ambiente},
Pages = {79-92},
Volume = {38},
Year = {2009},
Keywords = {caturrita; dnos; rebordo do planalto;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.04.30}
}
@Article{SuzukiEtAl2009,
Title = {Consórcios intermunicipais para a destinação de RSU em aterros regionais: estudo prospectivo para os municípios no Estado do Paraná},
Author = {Juliana Akiko Noguchi Suzuki and João Gomes},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {155-158},
Volume = {14},
Year = {2009},
File = {:Engenharia Sanitária e Ambiental/Suzuki & Gomes_Eng Sanit Ambient_2009.pdf:PDF},
Keywords = {consórcios intermunicipais; resíduos sólidos urbanos; destinação final; aterros sanitários.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009},
Url = {http://www.scielo.br/pdf/esa/v14n2/a02v14n2.pdf}
}
@Inproceedings{SuzukiEtAl2004,
Title = {Teor de argila de solos sob diferentes tempos de agitação horizontal, tempo de contato do dispersante químico e dispersão mecânica},
Author = {Luis Eduardo Akiyoshi Sanches Suzuki and Dalvan José Reinert and Douglas Rodrigo Kaiser and Marcelo Kunz and André Pellegrini and José Miguel Reichert and Jackson Adriano Albuquerque},
Booktitle = {Reunião Brasileira de Manejo e Conservação do Solo e da Água},
Pages = {4},
Publisher = {Sociedade Brasileira de Ciência do Solo},
Year = {2004},
Address = {Santa Maria},
File = {SuzukiEtAl2004.pdf:Anais/SuzukiEtAl2004.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.19},
Url = {http://www.fisicadosolo.ccr.ufsm.quoos.com.br/index.php?option=com_content&view=article&id=60&Itemid=89}
}
@Inproceedings{SuzukiEtAl2004a,
Title = {Areia total de solos sob diferentes tempos de agitação horizontal, tempo de contato do dispersante químico e dispersão mecânica},
Author = {Suzuki, L. E. A. S. and Reinert, D. J. and Kaiser, D. R. and Kunz, M. and Pellegrini, A. and Reichert, J. M. and Albuquerque, J. A.},
Booktitle = {Reunião Brasileira de Manejo e Conservação do Solo e da Água},
Pages = {4},
Publisher = {Sociedade Brasileira de Ciência do Solo},
Year = {2004},
Address = {Santa Maria},
File = {SuzukiEtAl2004a.pdf:SuzukiEtAl2004a.pdf:PDF},
Owner = {alessandro},
Timestamp = {2012.03.19},
Url = {http://www.fisicadosolo.ccr.ufsm.quoos.com.br/index.php?option=com_content&view=article&id=60&Itemid=89}
}
@Inproceedings{SvobodovaEtAl2012,
Title = {Using of local indicators of spatial association for evaluation of spatial accuracy of {DEM}},
Author = {Jana Svobodova and Jakub Mirijovsky and Ales Vavra and Jan Brus and Helena Kilianova},
Booktitle = {Accuracy 2012 - International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences},
Editor = {Carlos Vieira and Vania Bogorny and Arthur Ribeiro Aquino},
Pages = {115-120},
Publisher = {Federal University of Santa Catarina/State University of Santa Catarina},
Year = {2012},
Address = {Florianópolis},
Volume = {10},
Institution = {Federal University of Santa Catarina and State University of Santa Catarina},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.18},
Url = {http://www.spatial-accuracy.org/Accuracy2012}
}
@Article{Swanson1993,
Title = {Comments on "The soil survey as a paradigm-based science},
Author = {Swanson, D K},
Journal = {Soil Science Society of America Journal},
Pages = {1164},
Volume = {57},
Year = {1993},
File = {Swanson1993.pdf:Soil Science Society of America Journal/Swanson1993.pdf:PDF},
Keywords = {hudson;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.15}
}
@Book{TabachnickEtAl2007,
Title = {Using Multivariate Statistics},
Author = {Barbara G. Tabachnick and Linda S. Fidell},
Pages = {980},
Publisher = {Boston, USA: Pearson Education},
Year = {2007},
Edition = {5},
File = {TabachnickEtAl2007.pdf:Book/TabachnickEtAl2007.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Book{Tan1996,
Title = {Soil sampling, preparation and analysis},
Author = {Tan, H. K.},
Publisher = {New York: Marcel Dekker},
Year = {1996},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@Article{TanEtAl2009,
Title = {Simulated dynamics of carbon stocks driven by changes in land use, management and climate in a tropical moist ecosystem of Ghana},
Author = {Zhengxi Tan and Shuguang Liu and Larry L. Tieszen and Emmanuel Tachie-Obeng},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {171-176},
Volume = {130},
Year = {2009},
Abstract = {Sub-Saharan Africa is large and diverse with regions of food insecurity and high vulnerability to climate change. This project quantifies carbon stocks and fluxes in the humid forest zone of Ghana, as a part of an assessment in West Africa. The General Ensemble biogeochemical Modeling System(GEMS) was used to simulate the responses of natural and managed systems to projected scenarios of changes in climate, land use and cover, and nitrogen fertilization in the Assin district of Ghana. Model inputs included historical land use and cover data, historical climate records and projected climate changes, and national management inventories. Our results show that deforestation for crop production led to a loss of soil organic carbon (SOC) by 33% from 1900 to 2000. The results also show that the trend of carbon emissions from cropland in the 20th century will continue through the 21st century and will be increased under the projected warming and drying scenarios. Nitrogen (N) fertilization in agricultural systems could offset SOC loss by 6% with 30 kg N ha1 year1 and by 11% with 60 kg N ha1 year1. To increase N fertilizer input would be one of the vital adaptive measures to ensure food security and maintain agricultural sustainability through the 21st century.},
Doi = {10.1016/j.agee.2009.01.004},
File = {TanEtAl2009.pdf:Agriculture Ecosystems and Environment/TanEtAl2009.pdf:PDF},
Keywords = {Biogeochemical modeling; Climate change; Ecosystem carbon stock; Nitrogen fertilization; Soil organic carbon},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{Tavares.FilhoEtAl2008,
Title = {Dispersão de amostras de Latossolo Vermelho eutroférrico influenciadas por pré-tratamento para oxidação da matéria orgânica e pelo tipo de agitação mecânica},
Author = {João Tavares.Filho and F. S. Magalhães},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {1429-1435},
Volume = {32},
Year = {2008},
Abstract = {A dispersão de amostras de Latossolos oxídicos pode ser mais difícil devido a microagregados de alta estabilidade, que nem sempre são totalmente desfeitos pela dispersão química e mecânica. A combinação de métodos químicos e mecânicos associados ao pré-tratamento da amostra é importante para se obter completa dispersão das partículas do solo e mantê-la estável durante toda a marcha analítica. Diante do exposto, objetivou-se avaliar a eficiência da dispersão mecânica (agitação lenta com agitador orbital de mesa ? 30 rpm por 16 h, na presença de abrasivo, e agitação rápida com agitadores do tipo coqueteleira ? 1.200 rpm por 20 min) e química com NaOH 1N, associada ao pré-tratamento para eliminação da matéria orgânica, independentemente de seu teor na amostra de solo na realização da análise granulométrica utilizada como método de rotina. Para as análises, foram coletadas com trado holandês, em uma área de Latossolo Vermelho eutroférrico, 50 amostras de forma inteiramente casualizada, nas profundidades de 0?0,20 e de 1,15?1,25 m; cada amostra representou uma repetição. Foi possível concluir que: sempre ocorreu maior dispersão das amostras analisadas quando se fez o prétratamento para oxidação da MO; o processo de agitação lenta, em relação ao de agitação rápida, é sempre mais eficiente na dispersão das amostras de solo; e o tratamento que utilizou pré-tratamento para eliminação da MO e dispersão mecânica com agitação lenta por 16 h e 30 g de areia grossa como abrasivo foi mais eficiente na dispersão das amostras estudadas, tanto para as amostras coletadas entre 0 e 0,20 m como para as coletadas na profundidade de 1,15?1,25 m.},
Keywords = {análise textural, pré tratamento, agitação lenta, textura},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://www.scielo.br/pdf/rbcs/v32n4/a07v32n4.pdf}
}
@Article{TaylorEtAl2013,
Title = {lgcp: an {R} package for inference with spatial and spatio-temporal log-{G}aussian {C}ox processes},
Author = {Benjamin M. Taylor and Tilman M. Davies and Barry S. Rowlingson and Peter J. Diggle},
Journal = {Journal of Statistical Software},
Pages = {xx-xx},
Volume = {52},
Year = {2013},
Month = {2},
Number = {4},
Accepted = {2012-09-26},
Bibdate = {2012-09-26},
Coden = {JSSOBK},
Day = {2},
File = {TaylorEtAl2013.pdf:TaylorEtAl2013.pdf:PDF},
ISSN = {1548-7660},
Owner = {alessandro},
Submitted = {2011-09-30},
Url = {http://www.jstatsoft.org/v52/i04}
}
@Article{TaylorEtAl1986,
Title = {Multiscale sources of spatial variation in soil. {III}. Improved methods for fitting the nested model to one-dimensional semivariograms},
Author = {Taylor, C. C. and Burrough, P. A.},
Journal = {Mathematical Geology},
Pages = {811–821},
Volume = {18},
Year = {1986},
Month = {Nov},
Number = {8},
Doi = {10.1007/bf00899745},
File = {TaylorEtAl1986.pdf:TaylorEtAl1986.pdf:PDF},
ISSN = {1573-8868},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@InCollection{TaylorEtAl2006,
Title = {Comparing Discriminant Analysis with Binomial Logistic Regression, Regression Kriging and Multi-Indicator Kriging for Mapping Salinity Risk in Northwest New South Wales, Australia},
Author = {J.A. Taylor and I.O.A. Odeh},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {33},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {455 - 464, 623},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {In Australia, soil salinity is one of the most devastating forms of land degradation facing agricultural production. In northern New South Wales (NSW), where irrigated-cotton production is a dominant agricultural commodity, salinity even though is not currently such a serious problem, could pose a potential threat to cotton production. This chapter explores the use of discriminant analysis (DA) and other alternative models for using ancillary data to create threshold-based risk maps (rather than continuous maps) of soil salinity and compares these maps with more traditional indicator predictions. The opportunity for incorporating an error analysis into DA is also explored. The hypothesis for including the error analysis in DA and related models is that a certain level of information remains in the residuals of the initial model and that this information could be extracted and analysed to improve the final prediction. The ancillary-based models used in this chapter did not produce better predictions than a Multi-Indicator Kriging (MIK) approach that did not include the ancillary data. The DA models produced better prediction than the Multi-Variate Stepwise Linear Regression with the Kriging (MSLR-K) and Binomial Linear Regression models. A benefit of the DA approaches is the generation of probability maps, similar to MIK, that may be used in future decision making.},
Doi = {DOI: 10.1016/S0166-2481(06)31033-1},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-1K/2/682d01e51d6a866d0fe371fdaee0ccf2}
}
@Manual{Taylor2010,
Title = {Landsat 7 science data users handbook},
Author = {Taylor, Michael P.},
Pages = {186},
Publisher = {NASA - National Aeronautics and Space Administration},
Year = {2010},
Abstract = {The purpose of the Landsat program is to provide the world's scientists and application engineers with a continuing stream of remote sensing data for monitoring and managing the Earth's resources. Landsat 7 is the latest NASA satellite in a series that has produced an uninterrupted multispectral record of the Earth's land surface since 1972. Along with data acquisition and the USGS archival and distribution systems, the program includes the data processing techniques required to render the Landsat 7 data into a scientifically useful form. Special emphasis has been placed on periodically refreshing the global data archive, maintaining an accurate instrument calibration, providing data at reasonable prices, and creating a public domain level one processing system that creates high level products of superior quality.},
File = {Taylor2010.pdf:Taylor2010.pdf:PDF},
Keywords = {Nyquist;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.11},
Url = {http://landsathandbook.gsfc.nasa.gov/}
}
@Book{TedescoEtAl2004,
Title = {Manual de adubação e de calagem para os {E}stados do {R}io {G}rande do {S}ul e de {S}anta {C}atarina},
Address = {Porto Alegre},
Author = {Marino J. Tedesco and Clesio Gianello and Ibanor Anghinoni and Carlos A. Bissani and Flávio A. O. Camargo and Sirio Wiethölter},
Pages = {401},
Publisher = {Comissão de Química e Fertilidade do Solo (Núcleo Regional Sul, Sociedade Brasileira de Ciência do Solo)},
Year = {2004},
File = {TedescoEtAl2004.pdf:TedescoEtAl2004.pdf:PDF}
}
@Manual{TedescoEtAl1995,
Title = {Analysis of soil, plants and other materials},
Author = {Tedesco, M. J. and Gianello, C. and Bissani, C. A. and Bohnen, H. and Volkweiss, S. J.},
Edition = {2},
Pages = {147},
Publisher = {Porto Alegre: Universidade Federal do Rio Grande do Sul},
Year = {1995},
File = {TedescoEtAl1995.pdf:manual/TedescoEtAl1995.pdf:PDF},
Owner = {Administrador},
Timestamp = {2011.01.15}
}
@Article{TeixeiraEtAl2008,
Title = {Controle de mosca doméstica em área de disposição de resíduos sólidos no Brasil},
Author = {Adair Ferreira Motta Teixeira and Adhemar Almeida Amaro.Filho and Bianca Ramalho Quintaes and Elisabeth Cardoso Leal Santos and Gisele Carlomagno Surliuga},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {365-370},
Volume = {13},
Year = {2008},
Abstract = {Desenvolveu-se uma metodologia de controle de Musca domestica (L.) em áreas de disposição de resíduos sólidos. Dois mosquicidas à base de azametifós foram aplicados em diferentes superfícies: nas verticais, a formulação pó molhável foi aplicada com rolos de pintura e, através de pulverização, na superfície de leiras; nas horizontais, foi empregado o mosquicida na formulação granulada. O nível de infestação de moscas foi avaliado por meio do monitoramento em placas (Scudder Fly Grill). Nas áreas das leiras, reduções de 98,5% e 100% foram atingidas em 18 e 30 dias, respectivamente, após a aplicação do produto. Na estação de transferência do lixo, observaram-se reduções de 85,6% e 98,7% no mesmo período de tempo. A aplicação de azametifós em diferentes formulações mostrou ser eficiente no controle da Musca domestica por um período de 30 dias.},
File = {:Engenharia Sanitária e Ambiental/Teixeira et al_Eng Sanit Ambient_2008.pdf:PDF},
Keywords = {Musca domestica, azametifós, controle, resíduos sólidos.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009},
Url = {http://www.abes-dn.org.br/publicacoes/engenharia/resaonline/v13n04/_NotaTecnica-095_07.pdf}
}
@Article{TeixeiraEtAl2009,
Title = {Estudos sobre a oxidação aeróbia do metano na cobertura de três aterros sanitários no Brasil},
Author = {Cláudia Echevenguá Teixeira and Jaqueline Corrêa Torves and Alexandra Rodrigues Finotti and Franciele Fedrizzi and Fernando Antônio Medeiros Marinho and Paula Fernanda Teixeira},
Journal = {Engenharia Sanitária e Ambiental},
Pages = {99-108},
Volume = {14},
Year = {2009},
File = {:Engenharia Sanitária e Ambiental/Teixeira et al_Eng Sanit Ambient_2009.pdf:PDF},
Keywords = {aterro sanitário; metano; aquecimento global; efeito estufa; bactérias metanotróficas; oxidação aeróbica do metano; resíduos sólidos; cobertura.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009},
Url = {http://www.scielo.br/scielo.php?pid=S1413-41522009000100011&script=sci_arttext}
}
@Article{TeixeiraEtAl2009a,
Title = {Procedimentos metodológicos para elaboração do mapa do fator L*S da equação universal de perda de solo (EUPS) utilizando sistemas de informações geográficas (SIG)},
Author = {Cristiano Uzêda Teixeira and Ardemírio De Barros Silva},
Journal = {Revista Brasileira de Geografia Física},
Pages = {83-91},
Volume = {2},
Year = {2009},
Abstract = {A aplicação de modelos matemáticos para previsão dos processos erosivos depende do entendimento de diferentes fatores que envolvem o fenômeno. Recentemente, com o uso de Sistemas de Informações Geográficas (SIG), que possibilita o cruzamento mais eficiente de dados espaciais, modelos como a Equação Universal de Perda de Solo (EUPS) tornaram-se instrumento de gestão ambiental para o meio físico, em geral. O fator L*S constitui-se no fator topográfico da (EUPS) e representa o comprimento da rampa (L) e a declividade (S) de uma vertente. Os mapas L e S são elaborados a partir do MDT (Modelo Digital do Terreno) e de valores médios adquiridos por meio da aplicação de métodos estatísticos. Os resultados obtidos a partir da metodologia desenvolvida foram satisfatórios tendo em vista a proximidade, que os mapas finais obtidos, tiveram com a realidade, constatada em campo.},
Keywords = {Fator L*S, Metodologia, Sistemas de Informação Geográficas (SIG)},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.ufpe.br/rbgfe/index.php/revista/article/viewArticle/64}
}
@Article{TeixeiraEtAl1999,
Title = {A ciência galileana: uma ilustre desconhecida},
Author = {Elder Sales Teixeira and Freire Junior, Olival},
Journal = {Caderno Brasileiro de Ensino de Física},
Pages = {35-42},
Volume = {16},
Year = {1999},
File = {TeixeiraEtAl1999.pdf:Caderno Brasileiro de Ensino de Física/TeixeiraEtAl1999.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.15}
}
@Book{TeixeiraEtAl2000,
Title = {Decifrando a Terra},
Address = {São Paulo},
Author = {Teixeira, W and Toledo, M C M and Fairchild, T R and Taioli, F},
Pages = {568},
Publisher = {Oficina de Textos},
Year = {2000},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.26}
}
@Techreport{TellessenEtAl2007,
Title = {Compatibility of the Cone Splitter with the OK-110 test standard},
Address = {West Chester},
Author = {G. Tellessen and S. Ridder},
Pages = {2},
Year = {2007},
File = {TellessenEtAl2007.pdf:TellessenEtAl2007.pdf:PDF},
Institution = {Contech Stormwater Solutions},
Keywords = {sample splitter;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.23},
Url = {watertech.rutgers.edu/Publications/Member-Submitted(Not-Peer-Reviewed)/James_Lenhart/PE-H130.pdf}
}
@InCollection{TemmeEtAl2009,
Title = {Geostatistical simulation and error propagation in geomorphometry},
Author = {A.J.A.M. Temme and Gerard B M Heuvelink and J.M. Schoorl and L. Claessens},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {5},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {121 - 140},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00005-6},
File = {TemmeEtAl2009.pdf:TemmeEtAl2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {use of geostatistics to model errors in DEMs; ruggedness; roughness;},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-F/2/fd9787546e1ed80a8c1972f7f6fee6f5}
}
@Article{TenenbaumEtAl2011,
Title = {How to grow a mind: statistics, structure, and abstraction},
Author = {Joshua B Tenenbaum and Charles Kemp and Thomas L Griffiths and Noah D Goodman},
Journal = {Science},
Pages = {1279-1285},
Volume = {331},
Year = {2011},
Abstract = {In coming to understand the world - in learning concepts, acquiring language, and grasping causal relations ? our minds make inferences that appear to go far beyond the data available. How do we do it? This review describes recent approaches to reverse-engineering human learning and cognitive development and, in parallel, engineering more humanlike machine learning systems. Computational models that perform probabilistic inference over hierarchies of flexibly structured representations can address some of the deepest questions about the nature and origins of human thought: How does abstract knowledge guide learning and reasoning from sparse data? What forms does our knowledge take, across different domains and tasks? And how is that abstract knowledge itself acquired?},
File = {TenenbaumEtAl2011.pdf:TenenbaumEtAl2011.pdf:PDF},
Keywords = {philosophy},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.26}
}
@Article{TeramotoEtAl2001,
Title = {Relações solo, superfície geomórfica e substrato geológico na microbacia do ribeirão Marins (Piracicaba - SP)},
Author = {Edson Roberto Teramoto and Igo Fernando Lepsch and Pablo Vidal-Torrado},
Journal = {Scientia Agricola},
Pages = {361-371},
Volume = {58},
Year = {2001},
Abstract = {O estudo das inter-relações entre aspectos pedológicos, geológicos e geomorfológicos de uma área são importantes para a compreensão da distribuição das unidades de mapeamento de solos na paisagem, constuituindo importante ferramenta para mapeamento de solos. Com o objetivo de estabelecer essas relações, efetuou-se um mapeamento detalhado dos depósitos geológicos superficiais, das superfícies geomórficas e das unidades de solos de uma área na microbacia do ribeirão Marins em Piracicaba, SP. Tais relações foram obtidas através de um sistema geográfico de informações e de um índice de homogeneidade para avaliar quantitativamente as inter-relações de cada tema estudado. A estratigrafia da área está representada por siltitos e folhelhos da formação Corumbataí, arenitos da formação Pirambóia, uma cobertura neo-cenozóica de textura média e por sedimentos holocênicos coluviais e aluviais. Foram identificadas cinco superfícies geomórficas e foram estabelecidas dez unidades de mapeamento em cinco classes, LATOSSOLO, ALISSOLO, ARGISSOLO, CAMBISSOLO e NEOSSOLO. O LATOSSOLO VERMELHO-AMARELO está relacionado à cobertura neocenozóica e à superfície I, mais alta. O ALISSOLO e os ARGISSOLOS VERMELHO-AMARELOS de textura arenosa/média relacionam-se aos arenitos da formação Pirambóia e às superfícies II e III em áreas com declive suave, posicionadas abaixo da I. Os NEOSSOLOS LITÓLICOS argilosos estão associados aos siltitos da formação Corumbataí, ocorrendo nas superfícies IV e V, mais recentes, inferiores e em áreas muito inclinadas. Os CAMBISSOLOS HÁPLICOS de textura variada relacionam-se aos alúvios-colúvios da base. Quanto mais velha e estável for a superfície geomórfica mais homogênea ela é em relação aos solos ue nela ocorrem. A evolução pedogenética é maior na medida em que em que aumenta a idade da superfície. A variabilidade dos atributos químicos e físicos dos solos na camada de 60-80cm é influenciada principalmente pela natureza química e física do substrato geológico, enquanto que os atributos morfológicos são determinados principalmente pelo relevo. Estas relações se repetem na paisagem da microbacia com características de solo, relevo e litologia semelhantes, permitindo sua extrapolação para outras áreas, contribuindo para futuros levantamentos detalhados de solos que possam vir a ser realizados na região.},
File = {:Scientia Agricola/Teramoto et al_Sci Agri_2001.pdf:PDF},
Keywords = {relações solo geomorfologia, estratigrafia, pedogênese},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/sa/v58n2/4429.pdf}
}
@Article{ThengEtAl1999,
Title = {An improved method for determining the specific surface areas of topsoils with varied organic matter content, texture and clay mineral composition},
Author = {B. K. G. Theng and G. G. Ristori and C. A. Santi and H. J. Percival},
Journal = {European Journal of Soil Science},
Pages = {309-316},
Volume = {50},
Year = {1999},
Abstract = {Measuring the specific surface area (SSA) of soils that contain much organic matter (OM) is problematic. The adsorption of p-nitrophenol (pNP) from xylene at room temperature yielded realistic values for the SSA of a wide range of clays, oxides and subsoils. Here we have extended the same measurement to some topsoils with varied OM content, texture and clay mineral composition. Specifically, we have compared the surface areas measured by adsorption of N2, and, applying the BET equation, with the values obtained by adsorption of pNP, before and after treatment of the samples with hydrogen peroxide. In all instances, the removal by H2O2 of organic matter ? albeit in part only ? led to a marked increase in the SSAs measured by nitrogen because of the exposure of micropores previously blocked or covered by OM. The surface areas measured by pNP were appreciably larger than those obtained by the standard BET equation, and showed little change after removal of organic matter. However, the surface area of two smectite-rich samples measured by pNP increased substantially after peroxidation, presumably because smectite crystals decomposed during treatment with H2O2. The results suggest that, under the experimental conditions used, pNP could diffuse without hindrance into and through organic matter, enabling it to adsorb on to micropore surfaces within clay aggregates (domains). In keeping with this suggestion, the relation between the surface areas measured by pNP and the corresponding values calculated from the clay and OM contents, and clay mineral composition, of the soils was close to 1:1. An even stronger relation was observed between the measured and calculated values for cation exchange capacity.},
Doi = {10.1046/j.1365-2389.1999.00230.x},
File = {:European Journal of Soil Science/Theng et al_Eur J Soil Sci_1999.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Manual{TherneauEtAl2014,
Title = {An Introduction to Recursive Partitioning Using the RPART Routines},
Author = {Terry M. Therneau and Elizabeth J. Atkinson and Mayo Foundation},
Pages = {62},
Year = {2014},
Keywords = {rpart;},
Url = {http://cran.r-project.org/web/packages/rpart/vignettes/longintro.pdf}
}
@Article{ThirumalaivasanEtAl2003,
Title = {AHP-DRASTIC: software for speci?c aquifer vulnerability assessment using DRASTIC model and GIS},
Author = {D. Thirumalaivasan and M. Karmegam and K. Venugopal},
Journal = {Environmental Modelling and Software},
Pages = {645-656},
Volume = {18},
Year = {2003},
Abstract = {A software package AHP-DRASTIC has been developed to derive ratings and weights of modi?ed DRASTIC model parameters for use in speci?c aquifer vulnerability assessment studies. The software is integrated with ArcView Geographical Information System (GIS) software for modelling aquifer vulnerability, to predict areas which are more likely than others to become contaminated as a result of activities at or near the land surface. The ranges of a few of the DRASTIC model parameters have been modi?ed to adapt to local hydrogeologic settings. Analytic Hierarchy Process (AHP) has been used to compute the ratings and weights of the criteria and sub-criteria of all parameters used in the DRASTIC model. The output from AHP generates a MS Access database for these parameters, which is then interfaced with ArcView using Avenue Scripts. AHP-DRASTIC is aimed at providing user- friendly GUI interfaced with GIS for the estimation of weights and ranks of the thematic layers used for aquifer vulnerability assessment. Contingency table analysis indicates that all wells in low and high vulnerability category have concentrations less than 10 ppm and more than 10 ppm, respectively. The model is validated with groundwater quality data and the results have shown strong relationship between DRASTIC Speci?c Vulnerability Index and nitrate-as-nitrogen concentrations with a correlation co- ef?cient of 0.84 at 0.01 level.},
Doi = {10.1016/S1364-8152(03)00051-3},
File = {:Environmental Modelling Software/Thirumalaivasan et al_Environ Modell Softw_2003.pdf:PDF},
Keywords = {DRASTIC model; Analytic hierarchy process; Aquifer vulnerability; Graphical User Interface},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{ThomasEtAl1999,
Title = {Predicting soil classes with parameters derived from relief and geologic materials in a sandstone region of the Vosges mountains (Northeastern France)},
Author = {A.L. Thomas and D. King and E. Dambrine and A. Couturier and J. Roque},
Journal = {Geoderma},
Pages = {291-305},
Volume = {90},
Year = {1999},
Abstract = {The present study involves the possibility of using geology and relief to map soil classes. We initially focused on two small catchments considered as representative of a 6000-ha forested area overlying a sandstone bed. The catchments differed in the stratigraphic sequence of sandstones, i.e., rich or poor in weatherable minerals. In one, the depleted bedrock was downstream and the rich was upstream, and the converse obtained for the second. Relationships between soil classes and environmental factors were modeled using two discriminant functions corresponding to the two types of stratigraphic sequences found in the catchments. More than 70% of the soil class distribution in small catchments can be explained by the nature of the substratum and attributes derived from a digital elevation model DEM . These relationships were then applied to a larger region. An automatic catchment delineation was first carried out with the DEM and was then combined with geologic maps. The choice between the two discriminant functions was based on the stratigraphic sequences in each catchment. Predicted soil classes were compared to soil classes conventionally mapped in 1978 at the scale of 1:100,000. The results show that the model reproduced the soil map over 55% of the area studied. Disagreements were due primarily to the existence of superficial deposits not mentioned on the geologic maps and to an altitude effect that is not sufficiently considered in the study of small catchments.},
File = {:Geoderma/Thomas et al_Geoderma_1999.pdf:PDF},
Keywords = {soil class distribution; digital elevation model; geologic materials; discriminant analysis; spatial model; extrapolation},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0016706198001359}
}
@Article{ThomasEtAl1998,
Title = {On variable importance in linear regression},
Author = {Thomas, D Roland and Hughes, Edward and Zumbo, Bruno D},
Journal = {Social Indicators Research},
Pages = {253-275},
Volume = {45},
Year = {1998},
Number = {1/3},
Doi = {10.1023/a:1006954016433},
File = {ThomasEtAl1998.pdf:ThomasEtAl1998.pdf:PDF},
ISSN = {0303-8300},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{Thompson2007,
Title = {Effect sizes, confidence intervals, and confidence intervals for effect sizes},
Author = {Thompson, Bruce},
Journal = {Psychology in the Schools},
Pages = {423-432},
Volume = {44},
Year = {2007},
Number = {5},
Abstract = {The present article provides a primer on (a) effect sizes, (b) confidence intervals, and (c) confidence intervals for effect sizes. Additionally, various admonitions for reformed statistical practice are presented. For example, a very important implication of the realization that there are dozens of effect size statistics is that authors must explicitly tell readers what effect sizes they are reporting. With respect to confidence intervals, when interpreting a 95% interval, we should never say that we are 95% confident that our interval captures the estimated population parameter. It is explained that effect sizes should be reported even for statistically nonsignificant effects. And, most importantly of all, it is emphasized that effect sizes should not be interpreted using Cohen's benchmarks. Instead, we ought to interpret our effects in direct and explicit comparison against the effects in the related prior literature. © 2007 Wiley Periodicals, Inc. Psychol Schs 44: 423?432, 2007.},
Doi = {10.1002/pits.20234},
File = {Thompson2007.pdf:Thompson2007.pdf:PDF},
ISSN = {1520-6807},
Keywords = {significance},
Publisher = {Wiley Subscription Services, Inc., A Wiley Company},
Url = {http://dx.doi.org/10.1002/pits.20234}
}
@Article{Thompson2002,
Title = {Statistical, practical, and clinical: how many kinds of significance do counselors need to consider?},
Author = {Thompson, Bruce},
Journal = {Journal of Counseling and Development},
Pages = {64-71},
Volume = {80},
Year = {2002},
Number = {1},
Abstract = {The present article reviews and distinguishes 3 related but different types of significance: ?statistical,? ?practical,? and ?clinical.? A framework for conceptualizing the many ?practical? effect size indices is described. Several effect size indices that counseling researchers can use, or that counselors reading the literature may encounter, are summarized. A way of estimating ?corrected? intervention effects is proposed. It is suggested that readers should expect authors to report indices of ?practical? or ?clinical? significance, or both, within their research reports; and it is noted that indeed some journals now require such reports.},
Doi = {10.1002/j.1556-6678.2002.tb00167.x},
File = {Thompson2002.pdf:Thompson2002.pdf:PDF},
ISSN = {1556-6676},
Publisher = {Blackwell Publishing Ltd},
Url = {http://dx.doi.org/10.1002/j.1556-6678.2002.tb00167.x}
}
@Article{Thompson1999,
Title = {Statistical significance tests, effect size reporting and the vain pursuit of pseudo-objectivity},
Author = {Thompson, Bruce},
Journal = {Theory andand Psychology},
Pages = {191-196},
Volume = {9},
Year = {1999},
Number = {2},
Abstract = {Two themes are argued in this comment on the use of statistical significance tests. First, effect sizes are an important aspect of results that should be reported. However, 10 empirical studies (some of several different journals) of articles in various disciplines demonstrate that effect sizes are still not usually being reported, notwithstanding the admonitions of the 1994 American Psychological Association (APA) Publication Manual. Second, using statistical significance tests does not (and cannot) make scientists (or their science) objective.},
Doi = {10.1177/095935439992007},
Eprint = {http://tap.sagepub.com/content/9/2/191.full.pdf+html},
Url = {http://tap.sagepub.com/content/9/2/191.abstract}
}
@Article{ThompsonEtAl2001,
Title = {Digital elevation model resolution: effects on terrain attribute calculation and quantitative soil-landscape modeling},
Author = {James A. Thompson and Jay C. Bell and Charles A. Butler},
Journal = {Geoderma},
Pages = {67-89},
Volume = {100},
Year = {2001},
Number = {1-2},
Doi = {10.1016/S0016-7061(00)00081-1},
File = {ThompsonEtAl2001.pdf:ThompsonEtAl2001.pdf:PDF},
Keywords = {DEM; terrain analysis, resolution, soil-landscape, spatial model, spatial variability; redemds; Update; Accuracy; PhDpaper1}
}
@Article{ThompsonEtAl1997,
Title = {Quantitative soil-landscape modeling for estimating the areal extent of hydromorphic soils},
Author = {Thompson, James A. and Bell, James C. and Butler, Charles A.},
Journal = {Soil Science Society of America Journal},
Pages = {971-980},
Volume = {61},
Year = {1997},
Abstract = {The spatial distribution of hydromorphic soils across the landscape affects soil survey, broad-scale wetland identification, and ecological studies. The change from upland to wetland is frequently difficult to delineate because it often occurs along a gradual continuum. We have developed a color index, the Profile Darkness Index (PDI), to assist in making these delineations. The PDI is well correlated with the duration of saturated and reducing conditions in specific Mollisol catenas in humid regions of the north-central USA. The objective of this research was to use soil-landscape modeling techniques to relate the variation of PDI to terrain attributes that describe the flow and accumulation of water on hillslopes. Regression models that quantify the relationships between terrain attributes and PDI on a hillslope in west-central Minnesota indicate that variability in slope gradient, profile curvature, and elevation above local depression explained up to 65% of the variability in PDI. These models may be used to estimate the areal extent of hydromorphic soils using terrain attributes derived from a high-resolution (10-m resolution) digital elevation model and to quantify relationships between spatial variability of terrain attributes and of PDI. Knowledge of the terrain attributes that are statistically important according to these models, and their relative effects on PDI (e.g., as slope gradient decreases, PDI increases) may be applied to field-scale delineations of hydric soils.},
File = {ThompsonEtAl1997.pdf:Soil Science Society of America Journal/ThompsonEtAl1997.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.15},
Url = {https://www.agronomy.org/publications/sssaj/abstracts/61/3/SS0610030971?access=0&view=pdf}
}
@Article{ThompsonEtAl2006,
Title = {Soil-landscape modeling across a physiographic region: topographic patterns and model transportability},
Author = {James A Thompson And Eugenia M Pena-Yewtukhiw And John H Grove},
Journal = {Geoderma},
Pages = {57-70},
Volume = {133},
Year = {2006},
Abstract = {Soil-landscape modeling techniques have been developed as a quantitative method to predict patterns of soil properties from observed patterns in soil-forming factors. However, transportability of these models to unsampled landscapes is unknown. Our objective was to develop quantitative soil-landscape models for multiple study sites and examine the similarity of these quantitative models, and therefore the similarity of soil-landscape relationships among areas with similar soils. We collected high resolution digital elevation models (DEM) for six study sites across the Pennyroyal physiographic region of Kentucky, and for each study site used terrain attributes derived from the DEM to collect discrete soil samples using a stratified random sampling design for morphological, physical, and chemical characterization. For three of these sites we examined the inherent differences in terrain attributes among sites, and developed quantitative soil-landscape models that predict the spatial patterns in A-horizon depth, surface soil organic carbon content, and surface sand and silt content. The other three sites were used to test the transportability of these models. Terrain attribute distributions differ significantly among study sites, with regional terrain attributes (upslope contributing area, topographic wetness index) being more similar among fields than local terrain attributes (slope gradient, slope curvature). Predictive models explained from 28% to 67% of the variation in soil properties. The terrain attributes that best predicted soil variability were similar across all three fields used for model development, with slope gradient, elevation, slope curvature, and upslope contributing area appearing in most of the models. However, applying models from one field to other fields within the same physiographic region produced inconsistent results. In general, prediction quality decreased with distance from the site of model development. Further sampling, modeling, and validation at additional field sites are required to properly establish model transportability.},
Doi = {10.1016/j.geoderma.2006.03.037},
File = {:Geoderma/Thompson et al_Geoderma_2006.pdf:PDF},
Keywords = {Terrain analysis; Soil?landscape model; Spatial variability; Regional scale; redemds;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{ThompsonEtAl2005,
Title = {Soil carbon storage estimation in a forest watershed using quantitative soil-landscape modeling},
Author = {J.A. Thompson and R.K. Kolka},
Journal = {Soil Science Society of America Journal},
Pages = {1086-1093},
Volume = {69},
Year = {2005},
Abstract = {Carbon storage in soils is important to forest ecosystems. Moreover, forest soils may serve as important C sinks for ameliorating excess atmospheric CO2 Spatial estimates of soil organic C (SOC) storage have traditionally relied upon soil survey maps and laboratory characterization data. This approach does not account for inherent variability within map units, and often relies on incomplete, unrepresentative, or biased data. Our objective was to develop soil-landscape models that quantify relationships between SOC and topographic variables derived from digital elevation models. Within a 1500-ha watershed in eastern Kentucky, the amount of SOC stored in the soil to a depth of 0.3 m was estimated using triplicate cores at each node of a 380-m grid. We stratified the data into four aspect classes and used robust linear regression to generate empirical models. Despite low coefficients of correlation between measured SOC and individual terrain attributes, we developed and validated models that explain up to 71% of SOC variability using three to five terrain attributes. Mean SOC content in the upper 30 cm, as predicted from our models, is 5.3 kg m?2, compared with an estimate of 2.9 kg m?2 from soil survey data. Total SOC storage in the upper 30 cm within the entire watershed is 82.0 Gg, compared with an estimate of 44.8 Gg from soil survey data. A soil-landscape modeling approach may prove useful for future SOC spatial modeling because it incorporates the continuous variability of SOC across landscapes and may be transportable to similar landscapes.},
Doi = {10.2136/sssaj2004.0322},
Owner = {Alessandro Samuel Rosa},
Timestamp = {15.02.2010}
}
@Book{Thompson2007a,
Title = {{S-PLUS} (and {R}) Manual to Accompany {A}gresti’s {C}ategorical {D}ata {A}nalysis (2002)},
Author = {Laura A. Thompson},
Year = {2007},
Edition = {2},
File = {Thompson2007a.pdf:Thompson2007a.pdf:PDF}
}
@InCollection{Thwaites2006,
Title = {Conceptual and digital soil-landscape mapping using regolith-catenary units},
Author = {R.N. Thwaites},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {20},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {257 - 268, 614},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {This chapter emphasises the geomorphological component to landscape modelling and simulation for soil resource assessment. This concept views the soil resource as a dynamic 3-dimensional geomorphological landscape and presents information as regolith-terrain (R-T) data in the context of Regolith-Catenary Units (RCUs) in an explicit and repeatable process. RCUs are 3-dimensional R-T systems and are viewed as composite R-T entities. They are described through soil geomorphic techniques. Observations of the regolith are limited, so conceptual models of the R-T as RCUs are necessary. Spatial expression of RCUs is achieved through the predictive capabilities of digital terrain analysis using derivative functions from digital terrain models. Landform attributes are combined as RCU components through a set of fuzzy rules to form simulated RCUs. These are closer to the conceptual and linguistic definition of hillslope components and their geomorphic processes. The concept is applied to predicting soil and regolith attributes derived through fuzzy classification to produce continuous data surfaces for a forested terrain in southeast Queensland. These then serve as decision support [`]maps' of the R-T attributes that relate directly to site-specific management of the forest land resource},
Doi = {DOI: 10.1016/S0166-2481(06)31020-3},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-11/2/224c15bd47a636c279ff6a7b037edf8e}
}
@Article{TibshiraniEtAl2009,
Title = {A bias correction for the minimum error rate in cross-validation},
Author = {Ryan J. Tibshirani and Robert Tibshirani},
Journal = {Annals os Applied Statistics},
Pages = {822-829},
Volume = {3},
Year = {2009},
Number = {2},
Abstract = {Tuning parameters in supervised learning problems are often estimated by cross-validation. The minimum value of the cross-validation error can be biased downward as an estimate of the test error at that same value of the tuning parameter. We propose a simple method for the estimation of this bias that uses information from the cross-validation process. As a result, it requires essentially no additional computation. We apply our bias estimate to a number of popular classifiers in various settings, and examine its performance.},
Doi = {10.1214/08-AOAS224},
File = {TibshiraniEtAl2009.pdf:TibshiraniEtAl2009.pdf:PDF},
Keywords = {redemds;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.08},
Url = {http://projecteuclid.org/euclid.aoas/1245676196}
}
@Article{TierneyEtAl2008,
Title = {Snow: a parallel computing framework for the {R} system},
Author = {Tierney, Luke and Rossini, A. J. and Li, Na},
Journal = {International Journal of Parallel Programming},
Pages = {78-90},
Volume = {37},
Year = {2008},
Month = {Jul},
Number = {1},
Doi = {10.1007/s10766-008-0077-2},
File = {TierneyEtAl2008.pdf:TierneyEtAl2008.pdf:PDF},
ISSN = {1573-7640},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Techreport{Tierney1990,
Title = {Constructing probability distributions of uncertain variables in models of the performance of the Waste Isolation Pilot Plant: the 1990 performance simulations (SAND90-2510)},
Author = {Tierney, MS},
Year = {1990},
File = {Tierney1990.pdf:techreport/Tierney1990.pdf:PDF},
Institution = {Sandia National Laboratories, Albuquerque, NM},
Keywords = {Uncertainty, sensitivity},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.05.27},
Url = {http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&ved=0CEcQFjAB&url=http%3A%2F%2Fwww.wipp.energy.gov%2Flibrary%2Fcra%2F2009_cra%2Freferences%2FOthers%2FTierney_1990_Constructing_Probability_Distribution_SAND_90_2510.pdf&ei=RDTCT4mNA4uK8QSLvuXFCw&usg=AFQjCNFeHnaClVBaEzknMs1lY8FfdNnHnw}
}
@Manual{TilleEtAl2012,
Title = {sampling: survey sampling},
Author = {Yves Tillé and Alina Matei},
Year = {2012},
Note = {R package version 2.5},
File = {TilleEtAl2012.pdf:manual/TilleEtAl2012.pdf:PDF},
Keywords = {sampling design, inclusion probability, r project},
Url = {http://CRAN.R-project.org/package=sampling}
}
@InCollection{TimlinEtAl2004,
Title = {Simple parametric methods to estimate soil water retention and hydraulic conductivity},
Author = {D.J. Timlin and R.D. Williams and L.R. Ahuja and G.C. Heathman},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {71 - 93},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30005-X},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-5/2/26282d593bb2f096faf8a89c160d15de}
}
@Article{TivetEtAl2012,
Title = {Soil carbon inventory by wet oxidation and dry combustion methods: effects of land use, soil texture gradients, and sampling depth on the linear model of {C}-equivalent correction factor},
Author = {Tivet, Florent and Carlos de Moraes Sá, João and Borszowskei, Paulo Rogério and Letourmy, Philippe and Briedis, Clever and Ferreira, Ademir Oliveira and Burkner dos Santos Thiago Massao Inagaki, Josiane},
Journal = {Soil Science Society of America Journal},
Pages = {1048-1059},
Volume = {76},
Year = {2012},
Number = {3},
Abstract = {Monitoring C content is essential for carrying out surveys and inventories on C storage in soils under different land uses (LUs). The objectives of the present study, which was conducted in five agro-ecoregions in Brazil with contrasting climates, LU managements, soil texture gradients, and soil depths, were to: (i) develop a C-equivalent correction factor (CF) between total organic carbon determined by dry combustion (TOCDC) and organic carbon by wet oxidation recorded by the Walkley–Black (OCWB) method, and (ii) assess the influence of LU, soil texture gradients, and sampling depth on a C-equivalent CF based on a linear model adjusted for each experimental location. The results indicated an effect of LU at almost all sites, except for one subtropical location where clay content and sampling depth were the most important factors. Additionally, there were LU × clay and LU × sampling depth interactions on the C-equivalent CF. The linear models computed to estimate the CF from this set of qualitative (LU) and quantitative variables (soil texture gradient and soil depth) differed among and within the agro-ecoregions and LU managements. The C-equivalent CF in subtropical sites ranged from 1.37 to 1.55, while for tropical sites ranged from 1.13 to 1.60. These models are site specific, and the results demonstrate the need to develop models calibrated for each site before extrapolating to other agro-ecoregions to recalculate past soil C inventories and to evaluate temporal changes of SOC stocks.},
Date = {2012/5},
Doi = {10.2136/sssaj2011.0328},
Owner = {alessandro},
Timestamp = {21.09.2014}
}
@Article{Tobler1970,
Title = {A computer model simulation of urban growth in the Detroit region},
Author = {Tobler, W.R.},
Journal = {Economic Geography},
Pages = {234-240},
Volume = {46},
Year = {1970},
Number = {2},
File = {Tobler1970.pdf:Tobler1970.pdf:PDF},
Keywords = {redemds;}
}
@Article{Todd-BrownEtAl2013,
Title = {Causes of variation in soil carbon simulations from {CMIP5} {E}arth system models and comparison with observations},
Author = {Todd-Brown, K. E. O. and Randerson, J. T. and Post, W. M. and Hoffman, F. M. and Tarnocai, C. and Schuur, E. A. G. and Allison, S. D.},
Journal = {Biogeosciences},
Pages = {1717–1736},
Volume = {10},
Year = {2013},
Month = {Mar},
Number = {3},
Doi = {10.5194/bg-10-1717-2013},
File = {Todd-BrownEtAl2013.pdf:Todd-BrownEtAl2013.pdf:PDF},
ISSN = {1726-4189},
Owner = {alessandro},
Publisher = {Copernicus GmbH}
}
@Article{TodiscoEtAl2012,
Title = {Calibration of the soil loss measurement method at the Masse experimental station},
Author = {F. Todisco and L. Vergni and F. Mannocchi and C. Bomba},
Journal = {Catena},
Pages = {4-9},
Volume = {91},
Year = {2012},
Number = {0},
Abstract = {The paper introduces the results of the calibration of the runoff and sediment concentration measurement system adopted at the Masse experimental station recently set up by the Department of Civil and Environmental Engineering to study erosion processes at the plot scale in Central Italy. The collected runoff is stored in cubic tanks equipped with ten taps for sampling the suspension. When an erosive event occurs, the plot runoff volume is measured by means of the water level in the tank, and the corresponding mean measured concentration in the suspension is quantified. The calibration curve of the specific storage system and of the measurement procedure used makes it possible to derive the actual concentration. The event plot soil loss is quantified as the product of the actual concentration and the runoff volume. The calibration curve was determined for two soil types. In any case a linear relationship was found between an actual and measured concentration. Slopes of regression vary with water depths in the tank. The calibration model does not significantly vary with the soil type considered due to the low difference in the coarse sand percentage in the two soils (according to Stokes' law). The measurement devices and the sampling procedure being equal, the calibration curve determined can be used to correct the measured concentration in the actual concentration for any soils that are characterized by a coarse sand percentage similar to that of the soil used to derive it.},
Doi = {10.1016/j.catena.2011.02.003},
File = {TodiscoEtAl2012.pdf:Catena/TodiscoEtAl2012.pdf:PDF},
ISSN = {0341-8162},
Keywords = {Soil erosion measures},
Url = {http://www.sciencedirect.com/science/article/pii/S0341816211000403}
}
@InCollection{TomasellaEtAl2004,
Title = {Pedotransfer functions for tropical soils},
Author = {J. Tomasella and M. Hodnett},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {415 - 429},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30021-8},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-R/2/596ca521258e6b05744d487b9c0aa172}
}
@Article{Tomlinson2005,
Title = {Soil carbon stocks and changes in the Republic of Ireland},
Author = {R W Tomlinson},
Journal = {Journal of Environmental Management},
Pages = {77-93},
Volume = {76},
Year = {2005},
Abstract = {The soil carbon (C) stock of the Republic of Ireland is estimated to have been 2048 Mt in 1990 and 2021 Mt in 2000. Peat holds around 53% of the soil C stock, but on 17% of the land area. The C density of soils (t C haK1) is mapped at 2 km!2 km resolution. The greatest soil C densities occur where deep raised bogs are the dominant soil; in these grid squares C density can reach 3000 t C haK1. Most of the loss of soil C between 1990 and 2000?up to 23 Mt C (1% of 1990 soil C stock)?was through industrial peat extraction. The average annual change in soil C stocks from 1990 to 2000 due to land use change was estimated at around 0.02% of the 1990 stock. Considering uncertainties in the data used to calculate soil C stocks and changes, the small average annual ?loss? could be regarded as ?no change?.},
Doi = {10.1016/j.jenvman.2005.02.001},
Keywords = {Soil; Carbon stocks; Peat; Republic of Ireland},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{TomlinsonEtAl2006,
Title = {Soil carbon stocks and land cover in Northern Ireland from 1939 to 2000},
Author = {R W Tomlinson And R M Milne},
Journal = {Applied Geography},
Pages = {18-39},
Volume = {26},
Year = {2006},
Abstract = {Methods to estimate soil carbon stocks and changes in Northern Ireland in relation to land cover change over the periods 1939?2000, 1939?1990 and 1990?2000 are described. Land cover for 1939 was derived from the Land Utilisation Survey and for 1990 and 2000 from interpretation of satellite imagery. Although in 1939 there was more mixed farming than at present, with a reduction of almost 60% in arable land, there has been little change in soil carbon stock (385.9 Mt in 1939, 385.43 Mt in 2000). In recent years the rate of carbon loss appears to have increased partly through greater suburbanization. However, more local field data on carbon densities of peat, of mineral soils under different cover types and after land-cover change, are required to support further iterations of the study.},
Doi = {10.1016/j.apgeog.2005.10.001},
File = {TomlinsonEtAl2006.pdf:Applied Geography/TomlinsonEtAl2006.pdf:PDF},
Keywords = {Soil carbon stocks; Land-cover change; Northern Ireland},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Techreport{TOPODATA2011,
Title = {TOPODATA},
Author = {TOPODATA},
Year = {2011},
File = {TOPODATA2011.pdf:TOPODATA2011.pdf:PDF},
Keywords = {DEM Interpolation; Resampling;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
@Article{TornquistEtAl2009,
Title = {Soil organic carbon stocks of Rio Grande do Sul, Brazil},
Author = {Tornquist, C.G. and Giasson, E. and Mielniczuk, J. and Cerri, C.E.P. and Bernoux, M.},
Journal = {Soil Science Society of America Journal},
Pages = {975-982},
Volume = {73},
Year = {2009},
Number = {3},
Doi = {10.2136/sssaj2008.0112}
}
@Article{TorrenceEtAl1998,
Title = {A practical guide to wavelet analysis},
Author = {Torrence, Christopher and Gilbert P. Compo},
Journal = {Bulletin of the American Meteorological Society},
Pages = {61-78},
Volume = {79},
Year = {1998},
Abstract = {A practical step-by-step guide to wavelet analysis is given, with examples taken from time series of the El Niño–Southern Oscillation (ENSO). The guide includes a comparison to the windowed Fourier transform, the choice of an appropriate wavelet basis function, edge effects due to finite-length time series, and the relationship between wavelet scale and Fourier frequency. New statistical significance tests for wavelet power spectra are developed by deriving theoretical wavelet spectra for white and red noise processes and using these to establish significance levels and confidence intervals. It is shown that smoothing in time or scale can be used to increase the confidence of the wavelet spectrum. Empirical formulas are given for the effect of smoothing on significance levels and confidence intervals. Extensions to wavelet analysis such as filtering, the power Hovmöller, cross-wavelet spectra, and coherence are described. The statistical significance tests are used to give a quantitative measure of changes in ENSO variance on interdecadal timescales. Using new datasets that extend back to 1871, the Niño3 sea surface temperature and the Southern Oscillation index show significantly higher power during 1880–1920 and 1960–90, and lower power during 1920–60, as well as a possible 15-yr modulation of variance. The power Hovmöller of sea level pressure shows significant variations in 2–8-yr wavelet power in both longitude and time.},
Doi = {http://dx.doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2},
File = {TorrenceEtAl1998.pdf:TorrenceEtAl1998.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.06}
}
@Article{Toure-TilleryEtAl2011,
Title = {The end justifies the means, but only in the middle},
Author = {Maferima Touré-Tillery and Ayelet Fishbach},
Journal = {Journal of Experimental Psychology: General},
Pages = {1-14},
Year = {2011},
Abstract = {Achieving goals often requires the completion of sequential actions, such as finishing a series of assignments to pass a class. In the course of pursuing such goals, people can decide how closely to follow their personal standards for each action. We propose that actions at the beginning and end of a sequence appear more diagnostic of the pursuer’s personal standards than do actions in the middle. Therefore, people are more likely to adhere to their standards at the beginning and end of goal pursuit—and slack in the middle. We demonstrate this pattern of judgment and behavior in adherence to ethical standards (e.g., cheating), religious traditions (e.g., skipping religious rituals), and performance standards (e.g., “cutting corners” on a task). We also show that the motivation to adhere to standards by using proper means is independent and follows a different pattern from the motivation to reach the end state of goal pursuit.},
Doi = {10.1037/a0025928},
File = {Toure-TilleryEtAl2011.pdf:Toure-TilleryEtAl2011.pdf:PDF},
Keywords = {motivation, goals, standards, ethics, self-signaling},
Owner = {alessandro},
Timestamp = {01.10.2013}
}
@Article{Toure-TilleryEtAl2011a,
Title = {The course of motivation},
Author = {Maferima Touré-Tillery and Ayelet Fishbach},
Journal = {Journal of Consumer Psychology },
Pages = {414 - 423},
Volume = {21},
Year = {2011},
Note = {<ce:title>Special Issue on the Application of Behavioral Decision Theory</ce:title> },
Number = {4},
Abstract = {This article explores the course of motivation in pursuing various goals. We distinguish between two dimensions of motivation: the motivation to attain a focal goal (outcome-focused dimension) and the motivation to “do things right” in the process of reaching that goal (means-focused dimension). We identify the conditions under which the motivation to reach a focal goal increases versus decreases over the course of goal pursuit. We then propose that the motivation to “do things right” follows a u-shaped pattern, such that it is higher at the beginning and end of goal pursuit than in the middle. },
Doi = {http://dx.doi.org/10.1016/j.jcps.2011.04.004},
File = {Toure-TilleryEtAl2011a.pdf:Toure-TilleryEtAl2011a.pdf:PDF},
ISSN = {1057-7408},
Keywords = {Self-regulation},
Url = {http://www.sciencedirect.com/science/article/pii/S1057740811000507}
}
@Article{Toutin2006,
Title = {Generation of {DSMs} from {SPOT-5} in-track {HRS} and across-track {HRG} stereo data using spatiotriangulation and autocalibration},
Author = {Thierry Toutin},
Journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
Pages = {170 - 181},
Volume = {60},
Year = {2006},
Note = {<ce:title>Extraction of Topographic Information from High-Resolution Satellite Imagery</ce:title>},
Number = {3},
Abstract = {Digital terrain models (DTMs) were extracted from SPOT-5 High Resolution Stereoscopic (HRS, 10 m resolution) in-track stereo-images and High Resolution Geometric (HRG, 5 m resolution) across-track stereo-images using a three-dimensional (3D) multisensor physical model developed at the Canada Centre for Remote Sensing, Natural Resources Canada, and were evaluated against precise lidar data. Firstly, the stereo HRS and HRG photogrammetric bundle block adjustments using spatiotriangulation and autocalibration were set-up with 10 ground control points and errors of about half-resolution were obtained over 190 and 95 independent checkpoints (ICPs): 6.4 m, 6.8 m and 5.1 m in X, Y and Z axes, and 2.6 m, 2.2 m and 2.9 m in X, Y and Z axes for HRS and HRG, respectively. The internal accuracy are, however, better because these errors include the half-pixel image plotting error and the 3 m cartographic error on ICPs. Only the results with HRS were achieved with autocalibration of the lens to correct for the radial distortions due to the largest number of pixels. The DTMs were then generated using an area-based multi-scale image matching method and 3D semi-automatic editing tools, and then compared to lidar data with 0.2 m accuracy in elevation. An elevation error with 68% confidence level (LE68) of 5.2 m and 6.5 m were achieved over the full area for HRS and HRG, respectively. Since the DTM is in fact a digital surface model where the height, or a part, of different land cover classes (trees, houses) is included, the accuracy is depending on the land cover types. Using previous 3D visual classification, different classes (forests, residential areas, bare surfaces) were generated to take into account the height of the surfaces (natural and human-made) in the accuracy evaluation. LE68 values of 3.2 m to 6.7 m were thus obtained depending on the land cover types. On the other hand, LE68 values of 2.4 m and 2.2 m were obtained over bare surfaces for HRS and HRG, respectively. These last results are more representative of the real stereo SPOT-5 potential for DTM, compliant with the highest topographic standard.},
Doi = {10.1016/j.isprsjprs.2006.02.003},
Keywords = {Mapping; redemds}
}
@Article{Toutin2004,
Title = {Review article: Geometric processing of remote sensing images: models, algorithms and methods},
Author = {Toutin, T.},
Journal = {International Journal of Remote Sensing},
Pages = {1893-1924},
Volume = {25},
Year = {2004},
Number = {10},
Abstract = {The geometric processing of remote sensing images becomes a key issue in multi-source data integration, management and analysis for many geomatic applications. This paper first reviews the source of geometric distortions, compares the different mathematical models being currently used for geometric distortion modelling, details the algorithms, methods and processing steps and finally tracks the error propagation from the input to the final output data.},
Doi = {10.1080/0143116031000101611},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/0143116031000101611},
File = {Toutin2004.pdf:Toutin2004.pdf:PDF},
Keywords = {Orthorectification;},
Url = {http://www.tandfonline.com/doi/abs/10.1080/0143116031000101611}
}
@Article{Toutin2001,
Title = {Elevation modelling from satellite visible and infrared {(VIR)} data},
Author = {Toutin, T.},
Journal = {International Journal of Remote Sensing},
Pages = {1097-1125},
Volume = {22},
Year = {2001},
Number = {6},
Abstract = { Since the early emergence of Earth observation satellites, researchers have investigated different methods of extracting three-dimensional information using satellite data. Apart from a few early stereo images by hand-held photographs acquired during the Gemini and Apollo missions, the first experiments to extract three-dimensional data using stereo viewing from space began with the Earth Terrain Camera flown onboard SkyLab in 1973/74. Since this time, various analogue or digital sensors in the visible spectrum have flown to provide researchers and geoscientists with spatial data to extract and interpret three-dimensional information of the Earth's surface. Although clinometry techniques can be applied with the optical sensor images, stereo viewing of images was and still is the most common method used by the mapping, photogrammetry and remote sensing communities for elevation modelling. The paper will review clinometry and stereoscopy and their applicability to the different satellite sensors (space photographs and scanners). Their performances to extract absolute or relative elevation from various research and commercial organizations are addressed. The respective advantages, difficulties and constraints of the sensors are discussed, as well as the methods and the technologies used for extracting elevation data in an operational context. },
Doi = {10.1080/01431160117862},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/01431160117862},
Keywords = {redemds},
Url = {http://www.tandfonline.com/doi/abs/10.1080/01431160117862}
}
@Article{Toutin2000,
Title = {Evaluation of radargrammetric {DEM} from {RADARSAT} images in high relief areas},
Author = {Thierry Toutin},
Journal = {IEEE Transactions on Geoscience and Remote Sensing},
Pages = {782-789},
Volume = {38},
Year = {2000},
Number = {2},
Bibsource = {DBLP, http://dblp.uni-trier.de},
Doi = {10.1109/36.842007},
Ee = {http://dx.doi.org/10.1109/36.842007},
Keywords = {redemds}
}
@InCollection{TrangmarEtAl1985,
Title = {Application of geostatistics to spatial studies of soil properties},
Author = {B B Trangmar and R S Yost and G Uehara},
Booktitle = {Advances in Agronomy},
Publisher = {Academic Press},
Year = {1985},
Pages = {54-},
Volume = {38},
File = {TrangmarEtAl1985.pdf:Advances in Agronomy/TrangmarEtAl1985.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05},
Url = {http://www.citeulike.org/user/leipadr/article/6226071}
}
@Article{TranterEtAl2009,
Title = {Using distance metrics to determine the appropriate domain of pedotransfer function predictions},
Author = {G. Tranter and A.B. McBratney and B. Minasny},
Journal = {Geoderma},
Pages = {421 - 425},
Volume = {149},
Year = {2009},
Number = {3-4},
Abstract = {The development of pedotransfer functions continues unabated, in part due to the inability of users to identify functions suitable to their soil of interest. In this paper, a protocol is proposed that allows users to determine the similarity between a functions calibration data and a subject of interest. The protocol uses standard distance metrics, Standardized Euclidean and Mahalanobis distances, to determine the distance from the mean of the calibration data and the subject. Distances exceeding a designated cutoff limit are deemed distinct from the calibration data and as such unsuitable for function application. An example is provided whereby a function to predict Cation Exchange Capacity is trained on a local dataset and applied to a second dataset with large pedodiversity. Those subjects suitable for functions application are identified via the proposed protocol. The proposed protocol is dependent on the provision of robust estimates of mean, standard deviation and covariance matrix of the calibration data.},
Doi = {10.1016/j.geoderma.2009.01.006},
File = {:Geoderma/Tranter et al_Geoderma_2009.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Pedotransfer function}
}
@Article{TravellettiEtAl2010,
Title = {Mass movement characterization using a reflexion and refraction seismic survey with the sloping local base level concept},
Author = {Julien Travelletti and Jehanne Demand and Michel Jaboyedoff and François Marillier},
Journal = {Geomorphology},
Pages = {1-10},
Volume = {116},
Year = {2010},
Abstract = {This study proposes a new concept for upscaling local information on failure surfaces derived from geophysical data, in order to develop the spatial information and quickly estimate the magnitude and intensity of a landslide. A new vision of seismic interpretation on landslides is also demonstrated by taking into account basic geomorphic information with a numeric method based on the Sloping Local Base Level (SLBL). The SLBL is a generalization of the base level de ? ned in geomorphology applied to landslides, and allows the calculation of the potential geometry of the landslide failure surface. This approach was applied to a large scale landslide formed mainly in gypsum and situated in a former glacial valley along the Rhône within the Western European Alps. Previous studies identi ? ed the existence of two sliding surfaces that may continue below the level of the valley. In this study, seismic refraction?re ? exion surveys were carried out to verify the existence of these failure surfaces. The analysis of the seismic data provides a four-layer model where three velocity layers (b1000 ms? 1 , 1500 ms? 1 and 3000 ms? 1 ) are interpreted as the mobilized mass at different weathering levels and compaction. The highest velocity layer (N4000 m s? 1 ) with a maximum depth of ~58 m is interpreted as the stable anhydrite bedrock. Two failure surfaces were interpreted from the seismic surveys: an upper failure and a much deeper one (respectively 25 and 50 m deep). The upper failure surface depth deduced from geophysics is slightly different from the results obtained using the SLBL, and the deeper failure surface depth calculated with the SLBL method is underestimated in comparison with the geophysical interpretations. Optimal results were therefore obtained by including the seismic data in the SLBL calculations according to the geomorphic limits of the landslide (maximal volume of mobilized mass =7.5×10 6 m 3 ).},
Doi = {10.1016/j.geomorph.2009.10.006},
Keywords = {Landslides, Seismic refraction and re?ection, Sloping local base level, DEM, Western European Alps},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Troeh1964,
Title = {Landform parameters correlated to soil drainage},
Author = {Frederick R. Troeh},
Journal = {Soil Science Society of America Journal},
Pages = {808-812},
Volume = {28},
Year = {1964},
Abstract = {Quantitative means of describing land surfaces were developed in this study and related to soil drainage. Hundreds of elevations were determined on each of 40 plots representing 6 soil series. The 3-dimensional equations developed to approximate these elevations assume radial symmetry and a parabolic relationship between elevation and distance from the symmetry axis. An electronic computer was used to solve and test equations for several positions in each plot. Areas that crossed soil boundaries were excluded. The equations of 75% of the remaining positions closely approximated the data and were used in this study. Parameters representing slope, rate of change of slope, and radius of curvature were obtained from the equations. These parameters were used to classify the shapes of the land surfaces both qualitatively and quantitatively. Three-dimensional plots of these parameters correctly predicted the drainage class of 90% of the positions with usable equations. Surfaces having equivalent drainage at all points were defined by equations in terms of radius, slope, and rate of change of slope.},
Keywords = {redemds},
Owner = {pccli},
Timestamp = {2011.11.16},
Url = {https://www.soils.org/publications/sssaj/abstracts/28/6/SS0280060808?access=0&view=pdf}
}
@Book{Trosset2001,
Title = {An introduction to statistical inference and data analysis},
Author = {Michael W. Trosset},
Pages = {224},
Publisher = {Department of Mathematics, College of William and Mary},
Year = {2001},
Edition = {1},
File = {Trosset2001.pdf:Book/Trosset2001.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Article{TrotterEtAl2005,
Title = {Influence of landfill gas on the microdistribution of grass establishment through natural colonization},
Author = {D.H. Trotter and J.A. Cooke},
Journal = {Environmental Management},
Pages = {303-310},
Volume = {35},
Year = {2005},
Doi = {10.1007/s00267-003-0308-7},
File = {:Environmental Management/Trotter & Cooke_Environ Manage_2005.pdf:PDF},
Keywords = {Cynodon dactylon; Grass; Species tolerance; Carbon dioxide; Methane},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009}
}
@Article{Trumbore1997,
Title = {Potential responses of soil organic carbon to global environmental change},
Author = {Trumbore, S.E.},
Journal = {Proceedings of the Natural Academy of Sciences},
Pages = {8284-8291},
Volume = {94},
Year = {1997},
Abstract = {Recent improvements in our understanding of the dynamics of soil carbon have shown that 20?40% of the approximately 1,500 Pg of C stored as organic matter in the upper meter of soils has turnover times of centuries or less. This fast-cycling organic matter is largely comprised of undecomposed plant material and hydrolyzable components associated with mineral surfaces. Turnover times of fast-cycling carbon vary with climate and vegetation, and range from <20 years at low latitudes to >60 years at high latitudes. The amount and turnover time of C in passive soil carbon pools (organic matter strongly stabilized on mineral surfaces with turnover times of millennia and longer) depend on factors like soil maturity and mineralogy, which, in turn, reflect long-term climate conditions. Transient sources or sinks in terrestrial carbon pools result from the time lag between photosynthetic uptake of CO2 by plants and the subsequent return of C to the atmosphere through plant, heterotrophic, and microbial respiration. Differential responses of primary production and respiration to climate change or ecosystem fertilization have the potential to cause significant interrannual to decadal imbalances in terrestrial C storage and release. Rates of carbon storage and release in recently disturbed ecosystems can be much larger than rates in more mature ecosystems. Changes in disturbance frequency and regime resulting from future climate change may be more important than equilibrium responses in determining the carbon balance of terrestrial ecosystems.},
Owner = {Administrador},
Timestamp = {2011.01.19},
Url = {http://www.pnas.org/content/94/16/8284.full.pdf+html}
}
@Inproceedings{TruongEtAl2012,
Title = {Expert elicitation for the variogram},
Author = {Phuong N. Truong and Gerard B. M. Heuvelink and John Paul Gosling},
Booktitle = {Accuracy 2012 - International Symposium on Spatial Accuracy Assessment in Natural Resources and Environment Sciences},
Editor = {Carlos Vieira and Vania Bogorny and Arthur Ribeiro Aquino},
Pages = {121-126},
Publisher = {Federal University of Santa Catarina/State University of Santa Catarina},
Year = {2012},
Address = {Florianópolis},
Volume = {10},
Institution = {Federal University of Santa Catarina and State University of Santa Catarina},
Keywords = {redemds; expert knowledge},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.18},
Url = {http://www.spatial-accuracy.org/Accuracy2012}
}
@Article{TruongEtAl2013,
Title = {Web-based tool for expert elicitation of the variogram},
Author = {Truong, Phuong N. and Heuvelink, Gerard B. M. and Gosling, John Paul},
Journal = {Computers \& Geosciences},
Pages = {390-399},
Volume = {51},
Year = {2013},
Month = {Feb},
Doi = {10.1016/j.cageo.2012.08.010},
File = {TruongEtAl2013.pdf:TruongEtAl2013.pdf:PDF},
ISSN = {0098-3004},
Owner = {alessandro}
}
@Book{Tsui2005,
Title = {{Fundamentals of Global Positioning System receivers - a software approach}},
Address = {Hoboken},
Author = {James Bao-Yen Tsui},
Pages = {352},
Publisher = {John Wiley and Sons},
Year = {2005},
Edition = {2},
File = {Tsui2005.pdf:Tsui2005.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.16}
}
@Article{TucciEtAl1997,
Title = {Impacto das mudanças da cobertura vegetal no escoamento: revisão},
Author = {Carlos E. M. Tucci and Robin T. Clarke},
Journal = {Revista Brasileira de Recursos Hídricos},
Pages = {135-152},
Volume = {2},
Year = {1997},
Abstract = {As modificações naturais e artificiais na cobertura vegetal das bacias hidrográficas influenciam o seu comportamento hidrológico. Essas alterações produzem os mais variados impactos sobre o meio ambiente e a disponibilidade dos recursos hídricos. Esse artigo revisa o conhecimento científico sobre o assunto e descreve os principais impactos do uso do solo sobre o escoamento. Os estudos experimentais existentes mostram claramente que existe aumento do escoamento médio com o desmatamento em pequenas bacias hidrográficas bacias rurais, no entanto não existem resultados consistentes sobre médias e grandes bacias.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.07.2010},
Url = {http://www.rhama.net/download/artigos/artigo22.pdf}
}
@Article{TuckerEtAl2005,
Title = {{An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data}},
Author = {Compton J. Tucker and Jorge E. Pinzon, Molly E. Brown and Daniel A. Slayback and Edwin W. Pak and Robert Mahoney and Eric F. Vermote and Nazmi El Saleous},
Journal = {International Journal of Remote Sensing},
Pages = {4485-4498},
Volume = {26},
Year = {2005},
Number = {20},
Abstract = {Daily daytime Advanced Very High Resolution Radiometer (AVHRR) 4-km global area coverage data have been processed to produce a Normalized Difference Vegetation Index (NDVI) 8-km equal-area dataset from July 1981 through December 2004 for all continents except Antarctica. New features of this dataset include bimonthly composites, NOAA-9 descending node data from August 1994 to January 1995, volcanic stratospheric aerosol correction for 1982– 1984 and 1991–1993, NDVI normalization using empirical mode decomposition/ reconstruction to minimize varying solar zenith angle effects introduced by orbital drift, inclusion of data from NOAA-16 for 2000–2003 and NOAA-17 for 2003–2004, and a similar dynamic range with the MODIS NDVI. Two NDVI compositing intervals have been produced: a bimonthly global dataset and a 10- day Africa-only dataset. Post-processing review corrected the majority of dropped scan lines, navigation errors, data drop outs, edge-of-orbit composite discontinuities, and other artefacts in the composite NDVI data. All data are available from the University of Maryland Global Land Cover Facility (http://glcf.umiacs.umd.edu/data/gimms/).},
Doi = {10.1080/01431160500168686},
File = {TuckerEtAl2005.pdf:TuckerEtAl2005.pdf:PDF},
Keywords = {ndvi; coefficient of variation; standard deviation; time series;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.20}
}
@Article{Tukey1997,
Title = {More honest foundations for data analysis},
Author = {John Tukey},
Journal = {Journal of Statistical Planning and Inference},
Pages = {21 - 28},
Volume = {57},
Year = {1997},
Note = {<ce:title>Robust Statistics and Data Analysis, Part I</ce:title>},
Number = {1},
Abstract = {Such foundations have to include not assuming that we always know what in fact we never know ? the exact probability structure involved. We have to face up to bouquets of alternative challenges ? of alternative probability structures that are relevant, yet extreme. And we have to focus on bouquets of alternative procedures, most, if not all, of which are not the results of formal optimisation. To select a procedure for use on a given sort of data set most carefully, we need to assess performance over combinations of procedures and challenges, often minimaxing over challenges. Such assessment will rarely be possible without simulation, perhaps of an analogous situation. Selection of bouquets of challenges will involve experience, direct and extrapolated, as will selection of bouquets of procedures. Thus it will not be wrong for different experts of the greatest experience to choose different analyses of the same data. Moreover, the bouquets conventionally considered for any class of problem will evolve over time, thus changing preferred procedures. These are customary characteristics of other branches of engineering ? data analysis, to be practical, has to be engineering, not science. Model development, for real world description, not for inference, is a procedure of successive approximations where assumptions can be vital. Sound inference, on the other hand, demands facing alternative possibilities, as illustrated by diverse challenges.},
Doi = {10.1016/S0378-3758(96)00032-8},
File = {Tukey1997.pdf:Journal of Statistical Planning and Inference/Tukey1997.pdf:PDF},
Keywords = {redemds}
}
@Article{TurcoEtAl2006,
Title = {Avaliação de modelo matemático para estimar a radiação solar incidente sobre superfícies com diferentes exposições e declividades},
Author = {José E. P. Turco and Gilcileia S. Rizzatti},
Journal = {Engenharia Agrícola},
Pages = {257-267},
Volume = {26},
Year = {2006},
Abstract = {Este trabalho teve por objetivo avaliar modelo matemático para estimar a radiação solar global diária sobre superfícies com diferentes exposições e declividades, no período de março de 2002 a março de 2003. A pesquisa foi desenvolvida em uma estrutura denominada ?Bacia Hidrográfica Experimental? do Departamento de Engenharia Rural da UNESP, Câmpus de Jaboticabal - SP. Nessa estrutura, foram utilizadas superfícies caracterizadas como H, 10N, 10S, 20N, 20S, 10E, 10W, 20E e 20W. O sensor utilizado para medir a radiação solar global incidente nas superfícies estudadas foi um piranômetro da marca Kipp & Zonnen, modelo CM3. Para calcular a radiação solar incidente nas superfícies estudadas, foi utilizado o modelo de Kondratyev. As análises dos resultados foram feitas para o período diário, utilizando-se de análise de regressão e considerando o modelo linear (y = ax + b), na qual a variável dependente foi a radiação global medida (K?M) e a radiação global calculada (K?C) foi a variável independente. Os resultados deste estudo mostram que o modelo apresentou bons resultados para estimar a radiação nas superfícies H, 10N, 10S, 10E, 10W, 20E e 20W. Utilizando-se de dados de dias com céu límpido, foram obtidos os seguintes resultados: no inverno, o modelo foi preciso para estimar a radiação solar na superfície 20N, e apresentou resultados aceitáveis para estimar a radiação solar na superfície 20S.},
File = {:Engenharia Agrícola/Turco e Rizzatti_Eng Agric_2006.pdf:PDF},
Keywords = {modelo, radiação global, superfícies inclinadas},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/eagri/v26n1/30117.pdf}
}
@Techreport{U.S.EPA2001,
Title = {Risk assessment guidance for superfund (volume III - part A): process for conducting probabilistic risk assessment},
Address = {Washington},
Author = {U.S.EPA},
Pages = {380},
Year = {2001},
File = {EPA2001.pdf:techreport/EPA2001.pdf:PDF},
Institution = {U.S. Environmental Protection Agency},
Keywords = {redemds, sensitivity},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.16},
Url = {http://www.epa.gov/oswer/riskassessment/rags3adt/index.htm}
}
@Techreport{U.S.EPA1997,
Title = {Guiding principles for Monte Carlo analysis},
Address = {Washington},
Author = {U.S.EPA},
Pages = {35},
Year = {1997},
File = {U.S.EPA1997.pdf:techreport/U.S.EPA1997.pdf:PDF},
Institution = {U.S. Environmental Protection Agency},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.16},
Url = {http://www.epa.gov/raf/publications/guiding-monte-carlo-analysis.htm}
}
@Electronic{UFRRJ2011,
Title = {Edital Nº 15 de 04 de Maio de 2011},
Address = {Seropédica},
Author = {UFRRJ},
HowPublished = {online},
Language = {pt-BR},
Month = {05},
Organization = {Universidade Federal Rural do Rio de Janeiro (UFRRJ)},
Url = {http://www.ufrrj.br/concursos/edital-152011.pdf},
Year = {2011},
Owner = {lgcs-mds},
Timestamp = {2013.04.02}
}
@Manual{UFRRJ2006,
Title = {Manual de instruções para organização e apresentação de dissertações e teses na UFRRJ},
Address = {Seropédica},
Author = {UFRRJ},
Edition = {3},
Pages = {25},
Publisher = {UFRRJ},
Year = {2006},
File = {UFRRJ2006.pdf:UFRRJ2006.pdf:PDF},
Keywords = {latex;},
Owner = {alessandro},
Timestamp = {29.10.2013},
Url = {http://www.ufrrj.br/portal/modulo/dppg/Formularios_normas/manual_teses.pdf}
}
@Electronic{UFSM2012,
Title = {Edital N. 144, de 11 de Dezembro de 2012},
Address = {Santa Maria},
Author = {UFSM},
HowPublished = {online},
Language = {pt-BR},
Month = {12},
Organization = {Federal University of Santa Maria (UFSM)},
Url = {http://w3.ufsm.br/prrh/docentes/1442012/},
Year = {2012},
Keywords = {redemds;},
Owner = {lgcs-mds},
Timestamp = {2013.04.02}
}
@Book{UFSM2010,
Title = {MDT - Estrutura e apresentação de monografias, dissertações e teses},
Author = {UFSM},
Pages = {72},
Publisher = {Santa Maria : Ed. da UFSM},
Year = {2010},
Edition = {7},
File = {UFSM2010.pdf:Book/UFSM2010.pdf:PDF},
Keywords = {LaTeX;},
Owner = {Alessandro},
Timestamp = {2011.02.17},
Url = {http://prpgp.prumoshost.com.br/sistemas/updown.public/arquivos/arq_MDT_156.pdf}
}
@Misc{Unknownxxxx,
Title = {Multiple comparison procedure},
Author = {Unknown},
Year = {xxxx},
File = {Unknownxxxx.pdf:Unknownxxxx.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Pages = {5},
Timestamp = {2012.08.15}
}
@Misc{Unknownxxxxa,
Title = {Multiple-comparison procedures},
Author = {Unknown},
Year = {xxxx},
File = {Unknownxxxxa.pdf:Unknownxxxxa.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Pages = {9},
Timestamp = {2012.08.15}
}
@Electronic{USGS2012,
Title = {Equipment and supplies - new sample splitter for water-quality samples},
Author = {USGS},
Month = {September},
Url = {http://water.usgs.gov/admin/memo/QW/qw80.17.html},
Year = {2012},
File = {USGS2012.pdf:USGS2012.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.23}
}
@Article{Vale.JuniorEtAl2007,
Title = {Etonopedologia e transferência de conhecimento: diálogos entre os saberes indígena e técnico na terra indígena Malacacheta, Roraima},
Author = {José Frutuoso Vale.Júnior And Carlos Ernesto G R Schaefer And José Augusto Vieira Costa},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {403-412},
Volume = {31},
Year = {2007},
Abstract = {O conhecimento indígena sobre a pedodiversidade é o objeto principal da etnopedologia. Nesse sentido, a tradição agrícola e cultural dos índios Uapixana, do tronco lingüístico Aruaque, em Roraima, constitui relevante acervo imaterial de valor etnocientífico, sendo valorizada pela Universidade Federal de Roraima em seus cursos superiores de Educação Indígena no Estado. Neste trabalho confrontou-se a experiência etnopedológica dos índios Uapixana com o Sistema Brasileiro de Classificação de Solos, durante o levantamento de solos da Terra Indígena (TI) Malacacheta. O sistema de classificação etnopedológica existente na comunidade indígena Uapixana da TI Malacacheta identifica e separa todos os principais compartimentos ambientais de ocorrência na área, permitindo relacionar aspectos de simples percepção e identificação (cor, textura, profundidade, vegetação) com aspectos cognoscíveis (uso, tipo de cultivo, vocação, etc.). Os índios Uapixana identificam e classificam oito tipos básicos de solos, que ocorrem individualmente ou formando associações: Imii Wyzda?u (Terra Amarelada), Imii Wyza?u (Terra Vermelha), Imii Pudiidiu (Terra Preta), Imii Pudiidiza?u (Terra Roxa), Katy Bara Pudiidiu (Barro Arenoso), Imii Kaxidia?u (Estopa Preta), Imii Katy Bara Pudiidiu Naik Baraka?u (Terra Arenosa Preta e Branca) e Imii Wyzadaza?u Rik Pudiidiu (Miscelânea de Terra Amarela, Roxa e afloramentos de rocha), abordando características morfológicas, físicas e químicas e as principais limitações quanto ao uso agrícola. Há relação evidente entre a dimensão do saber etnopedológico o saber etnoecológico, em sentido amplo. A experiência etnopedológica representa, assim, a extensão de uma abrangente cadeia de inter-relações homem-meio, dentro do princípio universal da ecologia humana da paisagem. O diálogo etnopedológico travado entre a comunidade indígena e os pedólogos trouxe contribuições muito relevantes e mutuamente benéficas: facilitou a transferência de conhecimento entre dois saberes, in loco, desvendando boa parte das relações etnopedológicas e etnoecológicas e refletindo sobre ?como? e ?por que? cada grupo identificava um dado tipo de solo. Permitiu ainda delinear o esboço da distribuição dos solos com base no saber indígena, utilizando a extrapolação cartográfica disponível ao pedólogo; esse fato facilitou o próprio mapeamento convencional, especialmente no reconhecimento de inclusões e associações de solos. De forma mais destacada, a experiência permitiu ainda uma real comunicação e aproximação entre os agentes do saber (indígenas e técnico), com base na troca e em descobertas mútuas de conhecimentos, gerando uma sinergia que aproxima o técnico e o indígena, com resultados práticos palpáveis, que extrapolam o próprio objetivo inicial do levantamento de solos da TI Malacacheta.},
Keywords = {Amazônia, solos indígenas, terra preta de índio, etnoecologia, Índios Uapixana, índios Macuxi.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {14.02.2010},
Url = {http://www.scielo.br/pdf/rbcs/v31n2/a23v31n2.pdf}
}
@Article{ValentinEtAl2008,
Title = {Runoff and sediment losses from 27 upland catchments in Southeast Asia: Impact of rapid land use changes and conservation practices},
Author = {C. Valentin and F. Agus and R. Alamban and A. Boosaner and J.P. Bricquet and V. Chaplot and T. de.Guzman and A. de.Rouw and J.L. Janeau and D. Orange and K. Phachomphonh and Do Duy Phai and P. Podwojewski and O. Ribolzi and N. Silvera and K. Subagyono and J.P. Thiébaux and Tran Duc Toan and T. Vadari},
Journal = {Agriculture, Ecosystems and Environment},
Pages = {225-238},
Volume = {128},
Year = {2008},
Abstract = {Rapid changes in upland farming systems in Southeast Asia generated predominantly by increased population pressure and ?market forces? have resulted in widespread land degradation that has been well documented at the plot scale. Yet, the links between agricultural activities in the uplands and downstream off-site effects remain largely unknown because of the difficulties in transferring results from plots to a larger scale. Many authors have thus pointed out the need for long-term catchment studies. The objective of this paper is to summarize the results obtained by the Management of Soil Erosion Consortium (MSEC) over the last 5 years from 27 catchments in five countries (Indonesia, Laos, Philippines, Thailand, and Vietnam). The purpose of the study was to assess the impacts of cultivation practices on annual runoff and erosion rates. Initial surveys in each catchment included topography, soils and land use. Monitoring included climatic, hydrologic and erosion (total sediment yield including bed load and suspended sediment load) data, land use and crop yields, and farmers? income. In addition, new land management options were introduced through consultations with farmers and evaluated in terms of runoff and erosion. These included tree plantations, fruit trees, improved fallow with legumes, maize intercropped with legumes, planted fodder, native grass strips and agro-ecological practices (direct sowing and mulch-based conservation agriculture). Regressions analyses showed that runoff during the rainy season, and normalized runoff flow coefficient based on erosive rainfall during the rainy season (rainfall with intensity exceeding 25 mm h?1) increase with the percentage of the catchment covered by maize. Both variables decrease with increasing soil depth, standard deviation of catchment slope (that reflects terrain roughness), and the percentages of the catchment covered by fallow (regular and improved), tree plantations and planted fodder. The best predictors of sediment yield were the surface percentages of maize, Job's tears, cassava and footpaths. The main conclusions generated from this study were: (i) soil erosion is predominantly influenced by land use rather than environmental characteristics not only at the plot scale but also at the catchment scale; (ii) slash-and-burn shifting cultivation with sufficiently long rotations (1 year of cultivation, 8 years of fallow) is too often unjustly blamed for degradation; (iii) in its place, continuous cropping of maize and cassava promotes high rates of soil erosion at the catchment scale; (iv) conservation technologies are efficient in reducing runoff and total sediment yield at the catchment scale; (v) the adoption of improved soil management technologies by upland farmers is not a function of the degree of intensification of their farming system and/or of their incomes. The results suggest that if expansion of maize and cassava into already degraded upland systems were to occur due to increased demand for biofuels, there is a risk of higher runoff and sediment generation. A failure to adopt appropriate land use management strategies will result in further rapid resource degradation with negative impacts to downstream communities.},
Doi = {10.1016/j.agee.2008.06.004},
File = {ValentinEtAl2008.pdf:Agriculture Ecosystems and Environment/ValentinEtAl2008.pdf:PDF},
Keywords = {Soil erosion, Upland rice, Maize, Cassava, Shifting cultivation, Steep slopes},
Owner = {Alessandro Samuel Rosa},
Timestamp = {26.07.2010}
}
@Book{Valeriano2008,
Title = {Topodata: guia para utilização de dados geomorfológicos locais},
Address = {São José dos Campos},
Author = {Valeriano, Márcio Morisson},
Pages = {72},
Publisher = {INPE - Instituto Nacional de Pesquisas Espaciais},
Year = {2008},
File = {Valeriano2008.pdf:Valeriano2008.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.12}
}
@Book{Valeriano2004,
Title = {Modelo digital de elevação com dados SRTM disponíveis para a América do Sul},
Address = {São José dos Campos},
Author = {Valeriano, Márcio Morisson},
Pages = {72},
Publisher = {INPE - Instituto Nacional de Pesquisas Espaciais},
Year = {2004},
File = {Valeriano2004.pdf:Valeriano2004.pdf:PDF},
Keywords = {topodata; srtm; mde;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.12}
}
@Book{Valeriano2002,
Title = {Modelos digitais de elevação de microbacias elaborados com krigagem},
Address = {São José dos Campos},
Author = {Valeriano, Márcio Morisson},
Pages = {56},
Publisher = {INPE - Instituto Nacional de Pesquisas Espaciais},
Year = {2002},
File = {Valeriano2002.pdf:Valeriano2002.pdf:PDF},
Keywords = {topodata; mde; srtm;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.12}
}
@Book{ValerianoEtAl2010,
Title = {Topodata: processamento dos dados SRTM},
Address = {São José dos Campos},
Author = {Márcio Morisson Valeriano and Paulo Cesar Gurgel Albuquerque},
Pages = {78},
Publisher = {INPE - Instituto Nacional de Pesquisas Espaciais},
Year = {2010},
File = {ValerianoEtAl2010a.pdf:ValerianoEtAl2010a.pdf:PDF},
Keywords = {mde;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.12}
}
@Article{ValerianoEtAl2012,
Title = {Topodata: Brazilian full coverage refinement of SRTM data},
Author = {Márcio Morisson Valeriano and Dilce F Rossetti},
Journal = {Applied Geography},
Pages = {300-309},
Volume = {32},
Year = {2012},
Number = {2},
Abstract = {This work presents the selection of a set of geostatistical coefficients suitable for a unified SRTM data refinement from 3″ to 1″ through kriging over the entire Brazilian territory. This selection aimed at data potential for geomorphometric derivations, given by the preservation of detailed geometric characteristics of the resulting digital elevation models (DEM), which are sensitive to refining procedures. The development contained a long-term experimentation stage, when data refinement through kriging was locally developed to support distinct regional projects, followed by a unified selection stage, where the acquired experience was applied to select a single and unified interpolation scheme. In this stage, the selected geostatistical models with promising performances were tested for unified refinement on 40 Brazilian areas with distinct geological settings. Tested areas encompass reliefs varying from mountainous to plain. The effects of data preparation were observed on the perception of patterns (texture and roughness), as well as of singularities (edges, peaks, thalwegs etc.). Results were evaluated mainly through the examination of shaded reliefs, transects and perspectives observed in different scales. Terrains with low slopes and small amplitudes had their DEM promptly affected by the refining methods, as opposed to mountainous terrains. The evaluation, unambiguously confirmed by all consulted interpreters, converged into a refining model with outstanding performance in all tested conditions.},
Doi = {10.1016/j.apgeog.2011.05.004},
File = {ValerianoEtAl2012.pdf:ValerianoEtAl2012.pdf:PDF},
Keywords = {Database,Maps,Topography,Digital elevation model (DEM); Kriging; Interpolation;}
}
@Book{ValerianoEtAl2010a,
Title = {Topodata: seleção de de coeficientes geoestatísticos para o refinamento unificado de dados SRTM},
Address = {São José dos Campos},
Author = {Márcio Morisson Valeriano and Dilce Fatima Rossetti},
Pages = {74},
Publisher = {INPE - Instituto Nacional de Pesquisas Espaciais},
Year = {2010},
File = {ValerianoEtAl2010.pdf:ValerianoEtAl2010.pdf:PDF},
Keywords = {MDE},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.11.12}
}
@Article{ValladaresEtAl2008,
Title = {Análise dos componentes principais e métodos multicritério ordinais no estudo de Organossolos e solos afins},
Author = {Gustavo Souza Valladares and Eliane Gonçalves Gomes and João Carlos C.B. Soares Mello and Marcos Gervasio Pereira and Lúcia Helena Cunha Anjos and Adierson Gilvani Ebeling and Vinícius Melo Benites},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {285-296},
Volume = {32},
Year = {2008},
Abstract = {Uma importante propriedade dos Organossolos, e de outros solos com alto teor de C orgânico para predizer o potencial de uso e riscos de degradação, é o grau de subsidência (perda de massa e volume). Nos Organossolos ocorrem diferentes riscos de subsidência, resultantes de seus atributos, em especial da natureza da matéria orgânica e do ambiente de deposição. Este estudo foi realizado com dados de 19 perfis de solos de diferentes regiões do Brasil. Foram adotados os procedimentos da SBCS para descrição e coleta dos perfis, e os métodos analíticos da Embrapa Solos para caracterização dos solos. A análise dos componentes principais foi utilizada para agrupar os perfis com o auxílio de atributos morfológicos, físicos, químicos e do ambiente de ocorrência e mostrou-se adequada no agrupamento dos solos estudados com base em seus atributos, comparando-se com a sua taxonomia. Neste artigo foram usados os métodos multicritério ordinais de Borda, Condorcet e Copeland para ordenar, segundo o risco de subsidência, os perfis de Organossolos estudados. Os resultados mostram correlação entre os métodos (exceto Condorcet, que não foi capaz de ordenar as alternativas) e o resíduo mínimo, parâmetro usual para avaliar subsidência. Isso indica eficácia para ordenar/classificar os perfis de solos estudados quanto ao risco de subsidência. Os métodos quantitativos utilizados neste trabalho mostraram-se promissores como ferramentas em estudos na Ciência do Solo.},
Doi = {10.1590/S0100-06832008000100027},
Keywords = {estatística multivariada, multicritério, métodos ordinais, subsidência, turfa, Organossolos.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {17.07.2010}
}
@Techreport{ValladaresEtAl2005,
Title = {Levantamento pedológico do campo experimental da Embrapa Uva e Vinho em Bento Golçalves, RS},
Author = {Gustavo Souza Valladares and Naíssa Batista Luz},
Pages = {78},
Year = {2005},
Number = {4},
Type = {Boletim de Pesquisa e Desenvolvimento},
Institution = {Campinas: Embrapa Monitoramento por Satélite},
Owner = {Administrador},
Timestamp = {2011.01.05},
Url = {http://www.infoteca.cnptia.embrapa.br/handle/CNPM/1827}
}
@Manual{vandenBoogaartEtAl2011,
Title = {compositions: compositional data analysis},
Author = {{VAN DEN BOOGAART}, K. GERALD and RAIMON TOLOSANA and MATEVZ BREN},
Year = {2011},
Abstract = {The package provides functions for the consistent analysis of compositional data (e.g. portions of substances) and positive numbers (e.g. concentrations) in the way proposed by Aitchison and Pawlowsky-Glahn.},
File = {vandenBoogaartEtAl2011.pdf:vandenBoogaartEtAl2011.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.24},
Url = {http://cran.r-project.org/web/packages/compositions/}
}
@Article{Van.BodegomEtAl2003,
Title = {Prediction of reducible soil iron content from iron extraction data},
Author = {Van.Bodegom, Peter M. and Van.Reeven, Janneke and Denier Van.Der.Gon, Hugo A.C.},
Journal = {Biogeochemistry},
Pages = {231-245},
Volume = {64},
Year = {2003},
Note = {10.1023/A:1024935107543},
Abstract = {Soils contain various iron compounds that differ in solubility, reducibility and extractability. Moreover, the contribution of the various iron compounds to total iron (Fe) and total Fe concentrations differs highly among soils. As a result, the total reducible Fe content can also differ among soils, and so does the dynamics of iron reduction. These factors complicate the prediction of reducible Fe based on Fe extraction data and hamper the application of process-based models for reduced or waterlogged soils where redox processes play a key-role. This paper presents a theoretical analysis relating reducible to extractable Fe reported in the literature. Predictions made from this theoretical analysis were evaluated in soil incubations using 18 rice paddy soils from all over the world. The incubation studies and the literature study both show that reducible Fe can be related to Fe from some selected, but not all, iron extractions. The combination of measurements for labile Fe(III)oxides (derived from oxalate-extractable Fe) and stabile Fe(III)oxides (derived from dithionite-citrate-extractable Fe) shows highly significant correlations with reducible Fe with high coefficients of determination (r2 = 0.92-0.95 depending on the definition of stabile Fe(III)oxides). Given the high diversity in rice soils used for the incubations, these regression equations will have general applicability. Application of these regression equations in combination with soil database information may improve the predictive ability of process-based models where soil redox processes are important, such as CH4 emission models derived for rice paddies or wetlands.},
File = {Van.BodegomEtAl2003.pdf:Biogeochemistry/Van.BodegomEtAl2003.pdf:PDF},
ISSN = {0168-2563},
Issue = {2},
Keyword = {Earth and Environmental Science},
Keywords = {Anaerobic incubation, Iron extraction, Iron reduction, Soil database, Upscaling},
Publisher = {Springer Netherlands},
Url = {http://dx.doi.org/10.1023/A:1024935107543}
}
@Article{Van.OostEtAl2005,
Title = {Spatially distributed data for erosion model calibration and validation: The Ganspoel and Kinderveld datasets},
Author = {K. Van.Oost and G. Govers and O. Cerdan and D. Thauré and A. Van.Rompaey and A. Steegen and J. Nachtergaele and I. Takken and J. Poesen},
Journal = {Catena},
Pages = {105-121},
Volume = {61},
Year = {2005},
Abstract = {Recent experience in distributed modelling has revealed that the performance of process-based erosion and hydrological models are extremely sensitive to parameter estimations and that predictions are often poor. It is also observed that quite different parameter sets may lead to very similar results and that no dbestT parameter set can be identified. In this study, we describe a dataset that offers possibilities for improved evaluation and parameterisation of spatially distributed soil erosion models. The dataset combines rainfall, runoff and sediment discharge data collected at the outlet and field surveys within the catchments that describe soil surface characteristics and soil erosion features. This offers clear advantages over traditional model evaluation as not only the simulated overall system response, integrated over time and space, but also the simulated internal system dynamics can be compared with measured data. The paper discusses and illustrates the use of the dataset to narrow uncertainties associated with model predictions.},
Doi = {10.1016/j.catena.2005.03.001},
File = {Van.OostEtAl2005.pdf:Catena/Van.OostEtAl2005.pdf:PDF},
Keywords = {Soil erosion; Runoff; Model validation; Uncertainty; WATEM},
Owner = {Alessandro Samuel Rosa},
Timestamp = {27.07.2010}
}
@Article{VanwalleghemEtAl2013,
Title = {A quantitative model for integrating landscape evolution and soil formation},
Author = {Vanwalleghem, T. and Stockmann, U. and Minasny, B. and McBratney, Alex B.},
Journal = {Journal of Geophysical Research: Earth Surface},
Pages = {331-347},
Volume = {118},
Year = {2013},
Month = {Apr},
Number = {2},
Doi = {10.1029/2011jf002296},
File = {VanwalleghemEtAl2013.pdf:VanwalleghemEtAl2013.pdf:PDF},
ISSN = {2169-9003},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Book{VarmuzaEtAl2009,
Title = {Introduction to multivariate statistical analysis in chemometrics},
Author = {Kurt Varmuza and Peter Filzmoser},
Publisher = {Boca Raton, USA: CRC Press},
Year = {2009},
File = {VarmuzaEtAl2009.pdf:Book/VarmuzaEtAl2009.pdf:PDF},
Keywords = {comparação de métodos},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.11}
}
@Article{VasatEtAl2010,
Title = {Sampling design optimization for multivariate soil mapping},
Author = {Vašát, R. and Heuvelink, G. B. M. and Borůvka, L.},
Journal = {Geoderma},
Pages = {147–153},
Volume = {155},
Year = {2010},
Month = {Mar},
Number = {3-4},
Doi = {10.1016/j.geoderma.2009.07.005},
File = {VasatEtAl2010.pdf:VasatEtAl2010.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Spatial; Sampling; Optimization; Design; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Phdthesis{Vasques2009,
Title = {Spatial and spectral models of soil carbon at multiple scales in {F}lorida},
Author = {Vasques, Gustavo Mattos},
Pages = {273},
School = {University of Florida},
Year = {2009},
File = {Vasques2009.pdf:phdthesis/Vasques2009.pdf:PDF},
Keywords = {redemds; pedometrics; Grunwald; DSM; resolution;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.16},
Url = {http://ufdc.ufl.edu/UFE0024803/00001}
}
@Article{VasquesEtAl2012,
Title = {Influence of the spatial extent and resolution of input data on soil carbon models in {F}lorida, {USA}},
Author = {Vasques, Gustavo M. and Grunwald, S. and Myers, D. Brenton},
Journal = {Journal of Geophysical Research},
Pages = {G04004},
Volume = {117},
Year = {2012},
Number = {G04},
Doi = {10.1029/2012jg001982},
File = {VasquesEtAl2012.pdf:VasquesEtAl2012.pdf:PDF},
ISSN = {0148-0227},
Keywords = {resolution; pedometrics; DSM; PhDpaper1},
Owner = {alessandro},
Publisher = {Wiley-Blackwell},
Review = {NOTES: - This article gives support to the use of global models in GSIF; - It also suggests that finer resolution improves model performance. This occurs because coarser resolution smooths out the variation, resulting in predictions close to the mean. CRITIQUES: - Three areas (150000, 3585, 5.58 km²) with different sampling intensities (1037, 130, 152 samples). Calibration sets were: c(696, 93, 106); - Calibration and validation sets were selected by simple random sampling the original dataset. An independent validation set obtained through probability sample was not used for validation. - Predictor variables: Sand, silt and clay (compositional data) were offered to the stepwise variable selection algorithm. Satellite images were not corrected and digital numbers were used as predictors. DEM derivatives were calculated using 3x3 window size and resampled to coarse resolution (Wood (2006) has already suggested that this approach is inappropriate). Land use and vegetation are said to be poor predictors at large scales. This could be due to the original scale/resolution of these products. - Transferability among the three extents: this actually is a comparisson between interpolation (large to small area) and extrapolation (small to large area). - Transferability among the seven resolutions: layers of DEM derivatives available at different resolutions are not the same variables, but the main assumption here is that they are. - Influence of the Spatial Extent: this actually is an assessment of the influence of the feature space, not the spatial extent. Larger spatial extent results in a larger variance os soil properties (larger range). - Stepwise Variable Selection: F probability of 0.05 for including and removing variables. According to the literature (see Frank Harrell, for example), this value should be of at least 0.5. Inclusion of variables in the final model is interpreted using pedological knowledge when stepwise regression has no physical basis.}
}
@Article{VasquesEtAl2012a,
Title = {Associations between soil carbon and ecological landscape variables at escalating spatial scales in {F}lorida, {USA}},
Author = {Vasques, Gustavo M. and Grunwald, Sabine and Myers, D. B.},
Journal = {Landscape Ecology},
Pages = {355–367},
Volume = {27},
Year = {2012},
Month = {Mar},
Number = {3},
Doi = {10.1007/s10980-011-9702-3},
File = {VasquesEtAl2012a.pdf:VasquesEtAl2012a.pdf:PDF},
ISSN = {1572-9761},
Owner = {alessandro},
Publisher = {Springer Science + Business Media},
Review = {OBJECTIVES: The authors tryed to identify the appropriate spatial scale to observe soil total carbon. Howeverm, there is no such thing in this world!}
}
@Article{VasquezEtAl2005,
Title = {Accounting for both random errors and systematic errors in uncertainty propagation analysis of computer models involving experimental measurements with {Monte} {Carlo} methods},
Author = {Vasquez, Victor R. and Whiting, Wallace B.},
Journal = {Risk Analysis},
Pages = {1669-1681},
Volume = {25},
Year = {2005},
Number = {6},
Abstract = {A Monte Carlo method is presented to study the effect of systematic and random errors on computer models mainly dealing with experimental data. It is a common assumption in this type of models (linear and nonlinear regression, and nonregression computer models) involving experimental measurements that the error sources are mainly random and independent with no constant background errors (systematic errors). However, from comparisons of different experimental data sources evidence is often found of significant bias or calibration errors. The uncertainty analysis approach presented in this work is based on the analysis of cumulative probability distributions for output variables of the models involved taking into account the effect of both types of errors. The probability distributions are obtained by performing Monte Carlo simulation coupled with appropriate definitions for the random and systematic errors. The main objectives are to detect the error source with stochastic dominance on the uncertainty propagation and the combined effect on output variables of the models. The results from the case studies analyzed show that the approach is able to distinguish which error type has a more significant effect on the performance of the model. Also, it was found that systematic or calibration errors, if present, cannot be neglected in uncertainty analysis of models dependent on experimental measurements such as chemical and physical properties. The approach can be used to facilitate decision making in fields related to safety factors selection, modeling, experimental data measurement, and experimental design.},
Doi = {10.1111/j.1539-6924.2005.00704.x},
File = {VasquezEtAl2005.pdf:VasquezEtAl2005.pdf:PDF},
ISSN = {1539-6924},
Keywords = {Bias error, Monte Carlo, random error, statistical methods, stochastic processes, systematic error, uncertainty, uncertainty propagation; redemds},
Publisher = {Blackwell Publishing, Inc.},
Url = {http://dx.doi.org/10.1111/j.1539-6924.2005.00704.x}
}
@Manual{VeigaEtAl1993,
Title = {Manual para la instalacion y conduccion de experimentos de perdida de suelos},
Author = {Veiga, M. and Wildner, L. P.},
Pages = {34},
Publisher = {Santiago: FAO, GCP/RLA/107/JPN},
Year = {1993},
Owner = {pccli},
Timestamp = {2011.07.12}
}
@Phdthesis{Velasco-Cruz2012,
Title = {Spatially Correlated Model Selection Method (SCOMS)},
Author = {Ciro Velasco-Cruz},
Pages = {104},
School = {Virginia Polytechnic Institute and State University},
Year = {2012},
File = {Velasco-Cruz2012.pdf:Velasco-Cruz2012.pdf:PDF},
Keywords = {Spatial statistics; Variable Selection; Non-stationary spatial fields; Ising prior.},
Owner = {alessandro},
Timestamp = {28.05.2013}
}
@Book{VenablesEtAl2000,
Title = {S programming},
Author = {Venables, William and Ripley, Brian D},
Publisher = {Springer},
Year = {2000},
File = {VenablesEtAl2000.pdf:VenablesEtAl2000.pdf:PDF},
Keywords = {R; programming;},
Owner = {alessandro}
}
@Book{VenablesEtAl2002,
Title = {Modern applied statistics with S},
Address = {New York},
Author = {W. N. Venables and Brian D. Ripley},
Pages = {504},
Publisher = {Springer},
Year = {2002},
Edition = {4},
Abstract = {S is a language and environment for data analysis originally developed at Bell Laboratories (of AT&T and now Lucent Technologies). It became the statistician's calculator for the 1990s, allowing easy access to the computing power and graphical capabilities of modern workstations and personal computers. Various implementations have been available, currently S-PLUS, a commercial system from the Insightful Corporation 1 in Seattle, and R, an Open Source system written by a team of volunteers. Both can be run on Windows and a range of UNIX / Linux operating systems: R also runs on Macintoshes. This is the fourth edition of a book which first appeared in 1994, and the S environment has grown rapidly since. This book concentrates on using the current systems to do statistics; there is a companion volume (Venables and Ripley, 2000) which discusses programming in the S language in much greater depth. Some of the more specialized functionality of the S environment is covered in on-line complements, additional sections and chapters which are available on the World Wide Web. The datasets and S functions that we use are supplied with most S environments and are also available on-line. This is not a text in statistical theory, but does cover modern statistical methodology. Each chapter summarizes the methods discussed, in order to set out the notation and the precise method implemented in S. (It will help if the reader has a basic knowledge of the topic of the chapter, but several chapters have been successfully used for specialized courses in statistical methods.) Our aim is rather to show how we analyse datasets using S. In doing so we aim to show both how S can be used and how the availability of a powerful and graphical system has altered the way we approach data analysis and allows penetrating analyses to be performed routinely. Once calculation became easy, the statistician's energies could be devoted to understanding his or her dataset. The core S language is not very large, but it is quite different from most other statistics systems. We describe the language in some detail in the first three chapters, but these are probably best skimmed at first reading. Once the philosophy of the language is grasped, its consistency and logical design will be appreciated. The chapters on applying S to statistical problems are largely self-contained, although Chapter 6 describes the language used for linear models that is used in several later chapters. We expect that most readers will want to pick and choose among the later chapters. This book is intended both for would-be users of S as an introductory guide and for class use. The level of course for which it is suitable differs from country to country, but would generally range from the upper years of an undergraduate course (especially the early chapters) to Masters' level. (For example, almost all the material is covered in the M.Sc. in Applied Statistics at Oxford.) On-line exercises (and selected answers) are provided, but these should not detract from the best exercise of all, using S to study datasets with which the reader is familiar. Our library provides many datasets, some of which are not used in the text but are there to provide source material for exercises. Nolan and Speed (2000) and Ramsey and Schafer (1997, 2002) are also good sources of exercise material.},
File = {VenablesEtAl2002.pdf:Book/VenablesEtAl2002.pdf:PDF},
ISBN = {0-387-95457-0},
Keywords = {MASS; Akaike Information Criterion; na.action; na.omit; PhDpaper1},
Owner = {Administrador},
Timestamp = {2011.01.28},
Url = {http://www.stats.ox.ac.uk/pub/MASS4}
}
@Article{VerbeeckEtAl2006,
Title = {Parameter sensitivity and uncertainty of the forest carbon flux model {FORUG}: a {Monte} {Carlo} analysis},
Author = {Verbeeck, Hans and Samson, Roeland and Verdonck, Frederik and Lemeur, Raoul},
Journal = {Tree Physiology},
Pages = {807-817},
Volume = {26},
Year = {2006},
Number = {6},
Abstract = {The Monte Carlo technique can be used to propagate input variable uncertainty and parameter uncertainty through a model to determine output uncertainty. However, to carry out Monte Carlo simulations, the uncertainty distributions or the probability density functions (PDFs) of the model parameters and input variables must be known. This remains one of the bottlenecks in current uncertainty research in forest carbon flux modeling. Because forest carbon flux models involve many parameters, we questioned whether it is necessary to take into account all parameters in the uncertainty analysis. A sensitivity analysis can determine the parameters contributing most to the overall model output uncertainty. This paper illustrates the usefulness of the Monte Carlo simulation technique for ranking parameters for sensitivity and uncertainty in process-based forest flux models.The uncertainty of the output (net ecosystem exchange, NEE) of the FORUG model was estimated for the Hesse beech forest (1997). Based on the arbitrary uncertainty of ten key parameters, a standard deviation of 0.88 Mg C ha?1 year?1 NEE was found which is equal to 24% of the mean value of NEE. Sensitivity analysis showed that the overall output uncertainty of the FORUG model can largely be determined by accounting for the uncertainty of only a few key parameters. The results led to the identification of the key FORUG parameters and to the recommendation for a process-based description of the soil respiration process in the FORUG model.},
Doi = {10.1093/treephys/26.6.807},
Eprint = {http://treephys.oxfordjournals.org/content/26/6/807.full.pdf+html},
File = {VerbeeckEtAl2006.pdf:VerbeeckEtAl2006.pdf:PDF},
Keywords = {redemds},
Url = {http://treephys.oxfordjournals.org/content/26/6/807.abstract}
}
@Article{VerbistEtAl2010,
Title = {Factors affecting soil loss at plot scale and sediment yield at catchment scale in a tropical volcanic agroforestry landscape},
Author = {Bruno Verbist and Jean Poesen and Meine Van.Noordwijk and Widianto and Didik Suprayogo and Fahmuddin Agus and Jozef Deckers},
Journal = {Catena},
Pages = {34-46},
Volume = {80},
Year = {2010},
Abstract = {Tropical deforestation and land use change is often perceived as the major cause of soil loss by water erosion and of sediment load in rivers that has a negative impact on the functioning of hydropower storage reservoirs. The Sumberjaya area in Sumatra, Indonesia is representative for con fl icts and evictions arising from this perception. The purpose of this study as part of a Negotiation Support System approach was to assess sediment yield both at plot and catchment scale and to relate it to a variety of possible clarifying factors i.e. land use, geology, soil and topography. Sediment yield at catchment scale per unit area, was found to be 3?10 times higher than soil loss measured in erosion plots. A stepwise regression showed that the dominant factors explaining sediment yield differences at catchment scale in this volcanic landscape were a particular lithology (Old Andesites) and slope angle followed by the silt fraction of the top soil. In lithologically sensitive areas soil loss at the plot scale under monoculture coffee gardens decreases over time from on average 7?11 Mg ha?1 yr?1 to 4?6 Mg ha?1 yr?1 , mainly because of the development of surface litter layers as fi lters and top soil compaction in the areas without litter, but remains higher than under shade coffee systems or forest. The runoff coef fi cient under monoculture coffee remains on average signi fi cantly higher (10?15%) than under forest (4%) or under shade coffee systems (4?7%). In lithologically stable areas soil loss remained below 1.8 Mg ha?1 yr?1 and the runoff coef fi cient below 2.5% under all land use types, even bare soil plots or monoculture coffee gardens. Less than 20% of the catchment area produces almost 60% of the sediment yield. The reduction of negative off-site effects on e.g. the life time of a storage reservoir would bene fi t greatly from an improved assessment of the lithologies in volcanic landscapes and the consideration of potential sediment source and sink areas. In lithologically sensitive areas, a shift from sun to shade coffee systems may result in reducing surface runoff and soil loss, although water erosion at the plot scale is not the main contributor to sediment yield at the catchment scale. The quanti fi cation of land use effects on dominant erosive processes such as river bank and river bed erosion, landslides and the concentrated fl ow erosion on footpaths and roads can contribute to more targeted efforts and relevant incentives to reduce (or live with) sediment load of the rivers.},
Doi = {10.1016/j.catena.2009.08.007},
File = {VerbistEtAl2010.pdf:Catena/VerbistEtAl2010.pdf:PDF},
Keywords = {Coffee, Erosion, Land use, Negotiation support system, Scale},
Owner = {Alessandro Samuel Rosa},
Timestamp = {26.07.2010}
}
@InCollection{VereeckenEtAl2004,
Title = {Statistical regression},
Author = {H. Vereecken and M. Herbst},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {3 - 19},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30001-2},
ISSN = {0166-2481},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-1/2/1ae52bec1cc7adf842cb334efaee6fa1}
}
@Article{VerhagenEtAl2003,
Title = {QUAD system offers fair shares to all authors},
Author = {Verhagen, Justus V. and Wallace, Karin J. and Collins, Stephan C. and Scott, Thomas R.},
Journal = {Nature},
Pages = {602--602},
Volume = {426},
Year = {2003},
Month = dec,
Number = {6967},
Comment = {10.1038/426602a},
File = {VerhagenEtAl2003.pdf:VerhagenEtAl2003.pdf:PDF},
ISSN = {0028-0836},
Owner = {alessandro},
Timestamp = {16.03.2014},
Url = {http://dx.doi.org/10.1038/426602a}
}
@Article{VerlengiaEtAl1968,
Title = {Determination of organic matter in soils - a comparative study of methods},
Author = {Verlengia, Flávio and Gargantini, Hermano},
Journal = {Bragantia},
Pages = {257-265},
Volume = {27},
Year = {1968},
Abstract = {São comparados diversos métodos de determinação de matéria orgânica do solo para verificar o mais preciso e capaz de apresentar maior rapidez nas determinações. Compararam-se quatro métodos conhecidos. Verificou-se que os preconizados por Frattini e Kalckman e por Reid e Copeland foram os que melhores resultados apresentaram, encontrando-se coeficientes de correlação de 0,996 e 0,998, respectivamente, com o método padrão de combustão sêca.},
Doi = {10.1590/S0006-87051968000200005},
File = {VerlengiaEtAl1968.pdf:VerlengiaEtAl1968.pdf:PDF},
Keywords = {lab methods; soc methods; pedometrics; ptf;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.26}
}
@Article{VerlindenEtAl2005,
Title = {A comparison between indigenous environmental knowledge and a conventional vegetation analysis in north central Namibia},
Author = {A. Verlinden and B. Dayot},
Journal = {Journal of Arid Environments},
Pages = {143?175},
Volume = {62},
Year = {2005},
Abstract = {Local communities use an indigenous classification of environmental land units for natural resource management in central north Namibia. These indigenous land units (ILUs) were compared with a conventional vegetation analysis to improve understanding by scientists. The indigenous classification is based on many criteria. Detrended correspondence analysis was carried out on 388 vegetation samples, collected in a participatory way. The ordination diagrams of species and samples were a good reflection of ecological variation in the area. The data were used to draw sample standard deviation ellipses around the average ILU score. Classes with highly ranked vegetation criteria had little overlap with each other, while classes with no vegetation criteria often had large overlaps with other land classes. Advantages and disadvantages of working with indigenous environmental knowledge are discussed.},
Doi = {10.1016/j.jaridenv.2004.11.004},
Owner = {Alessandro Samuel Rosa},
Timestamp = {15.02.2010}
}
@Article{VermoteEtAl1997,
Title = {Second {S}imulation of the {S}atellite {S}ignal in the {S}olar {S}pectrum, 6{S}: an overview},
Author = {Vermote, E.F. and Tanre, D. and Deuze, J. L. and Herman, M. and Morcette, J J},
Journal = {IEEE Transactions on Geoscience and Remote Sensing},
Pages = {675-686},
Volume = {35},
Year = {1997},
Number = {3},
Abstract = {Remote sensing from satellite or airborne platforms of land or sea surfaces in the visible and near infrared is strongly affected by the presence of the atmosphere along the path from Sun to target (surface) to sensor. This paper presents 6S (Second Simulation of the Satellite Signal in the Solar Spectrum), a computer code which can accurately simulate the above problems. The 6S code is an improved version of 5S (Simulation of the Satellite Signal in the Solar Spectrum), developed by the Laboratoire d'Optique Atmospherique ten years ago. The new version now permits calculations of near-nadir (down-looking) aircraft observations, accounting for target elevation, non lambertian surface conditions, and new absorbing species (CH4, N2O, CO). The computational accuracy for Rayleigh and aerosol scattering effects has been improved by the use of state-of-the-art approximations and implementation of the successive order of scattering (SOS) algorithm. The step size (resolution) used for spectral integration has been improved to 2.5 nm. The goal of this paper is not to provide a complete description of the methods used as that information is detailed in the 6S manual, but rather to illustrate the impact of the improvements between 5S and 6S by examining some typical remote sensing situations. Nevertheless, the 6S code has still limitations. It cannot handle spherical atmosphere and as a result, it cannot be used for limb observations. In addition, the decoupling the authors are using for absorption and scattering effects does not allow to use the code in presence of strong absorption bands},
Doi = {10.1109/36.581987},
File = {VermoteEtAl1997.pdf:VermoteEtAl1997.pdf:PDF},
Keywords = {atmospheric optics;geophysical techniques;oceanographic techniques;remote sensing;6S;Second Simulation of the Satellite Signal in the Solar Spectrum;aerosol scattering;airborne remote sensing;atmosphere optics;computer code;geophysical measurement technique;land surface;light propagation;model;near infrared;near-nadir;nonlambertian surface conditions;ocean;optical imaging;satellite remote sensing;sea surface;successive order of scattering;target elevation;terrain mapping;visible region;Atmosphere;Atmospheric modeling;Computational modeling;Computer simulation;Infrared sensors;Land surface;Rayleigh scattering;Remote sensing;Satellites;Sea surface; S6; atcorr; PhDpaper1}
}
@Book{Vettori1969,
Title = {Métodos de análise de solo (Boletim técnico, 7)},
Author = {Leandro Vettori},
Pages = {34},
Publisher = {Rio de Janeiro, Brasil: Equipe de Pedologia e Fertilidade do Solo},
Year = {1969},
File = {Vettori1969.pdf:Vettori1969.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.26}
}
@Inproceedings{Viana2013,
Title = {Things you wanted to know about the {L}atin hypercube design and were afraid to ask},
Author = {Felipe A C Viana},
Booktitle = {10th World Congress on Structural and Multidisciplinary Optimization},
Pages = {1-9},
Year = {2013},
File = {Viana2013.pdf:Viana2013.pdf:PDF},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Url = {http://www2.mae.ufl.edu/mdo/Papers/5176.pdf}
}
@Article{VianaEtAl2009,
Title = {An algorithm for fast optimal Latin hypercube design of experiments},
Author = {Viana, Felipe A. C. and Venter, Gerhard and Balabanov, Vladimir},
Journal = {International Journal for Numerical Methods in Engineering},
Pages = {135-156},
Year = {2009},
Doi = {10.1002/nme.2750},
File = {VianaEtAl2009.pdf:VianaEtAl2009.pdf:PDF},
ISSN = {1097-0207},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Phdthesis{Herbert2005,
Title = {Distribuição espacial de atributos físico-químicos, mineralógicos e micromorfológicos de Latossolos visando o mapeamento de áreas produtivas},
Author = {João Herbert Moreira Viana},
Pages = {209},
School = {Universidade Federal de Viçosa},
Year = {2005},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{Vickers2005,
Title = {Parametric versus non-parametric statistics in the analysis of randomized trials with non-normally distributed data},
Author = {Vickers, Andrew},
Journal = {BMC Medical Research Methodology},
Pages = {35},
Volume = {5},
Year = {2005},
Number = {1},
Abstract = {BACKGROUND:It has generally been argued that parametric statistics should not be applied to data with non-normal distributions. Empirical research has demonstrated that Mann-Whitney generally has greater power than the t-test unless data are sampled from the normal. In the case of randomized trials, we are typically interested in how an endpoint, such as blood pressure or pain, changes following treatment. Such trials should be analyzed using ANCOVA, rather than t-test. The objectives of this study were: a) to compare the relative power of Mann-Whitney and ANCOVA; b) to determine whether ANCOVA provides an unbiased estimate for the difference between groups; c) to investigate the distribution of change scores between repeat assessments of a non-normally distributed variable.METHODS:Polynomials were developed to simulate five archetypal non-normal distributions for baseline and post-treatment scores in a randomized trial. Simulation studies compared the power of Mann-Whitney and ANCOVA for analyzing each distribution, varying sample size, correlation and type of treatment effect (ratio or shift).RESULTS:Change between skewed baseline and post-treatment data tended towards a normal distribution. ANCOVA was generally superior to Mann-Whitney in most situations, especially where log-transformed data were entered into the model. The estimate of the treatment effect from ANCOVA was not importantly biased.CONCLUSION:ANCOVA is the preferred method of analyzing randomized trials with baseline and post-treatment measures. In certain extreme cases, ANCOVA is less powerful than Mann-Whitney. Notably, in these cases, the estimate of treatment effect provided by ANCOVA is of questionable interpretability.},
Doi = {10.1186/1471-2288-5-35},
File = {Vickers2005.pdf:BMC Medical Research Methodology/Vickers2005.pdf:PDF},
ISSN = {1471-2288},
Pubmedid = {16269081},
Url = {http://www.biomedcentral.com/1471-2288/5/35}
}
@Article{Vidal-TorradoEtAl1993,
Title = {Morfogênese dos solos de uma topossequência com transição B Latossólico/B textural sobre Migmatitos em Mococa (SP)},
Author = {P Vidal-Torrado and I F Lepsch},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {109-119},
Volume = {17},
Year = {1993},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0Bz5ECUmybeiVZDRlNDIwODYtODg5Zi00ZjczLWE3ZTMtZDYyZGU3YzM2Mjc3&hl=en&authkey=CIa85IMF}
}
@Article{Vidal-TorradoEtAl2006,
Title = {Gênese de solos derivados de rochas ultramáficas serpentinizadas no sudoeste de Minas Gerais},
Author = {Pablo Vidal-Torrado and Felipe Macias and Rosa Calvo and Sebastião Gomes De Carvalho and Alexandre Christófaro Silva},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {523-541},
Volume = {30},
Year = {2006},
Abstract = {Os solos derivados de rochas serpentinizadas ou serpentinitos constituem um grupo especial de solos em toda superfície terrestre. De caráter ultramáfico, ou seja, rochas com mais de 70 % de minerais máficos (ferromagnesianos), os serpentinitos apresentam uma mineralogia pobre em sílica e escassa em Al, sendo, no entanto, muito enriquecida em Mg. São poucos os estudos sobre a morfologia, mineralogia, gênese e classificação dos solos desenvolvidos de tais rochas. Em ambiente tropical úmido no sudoeste de Minas Gerais, na zona do greenstone belt do Morro de Ferro, em superfícies geomórficas jovens, três perfis de solos representativos dessa paisagem sobre rochas serpentinizadas foram caracterizados por meio de descrições macro e micromorfológicas, análises granulométricas, químicas e por mineralogia de raios X das frações argila e silte. Complementarmente, para acompanhamento da alteração geoquímica dos horizontes do solo, foram feitas microanálises das seções delgadas por EDRX. Os solos foram classificados como Chernossolo Háplico Férrico típico, Cambissolo Háplico eutroférrico léptico e Neossolo Regolítico eutrófico típico e, embora situados num clima que favorece o rápido intemperismo, do ponto de vista morfológico e mineralógico, mostraram-se similares aos solos derivados de rochas serpentinizadas das regiões subtropicais e temperada. No processo de formação de solo, a evolução da trama segue a seguinte seqüência: alteração da rocha ? trama frâgmica ? trama porfírica com cavidades ? trama porfírica aberta por coalescência de cavidades. O processo de argiluviação é evidente e se dá em dois estádios distintos: argiluviação primária, que ocorre nas fendas e cavidades que se formam por alteração de rocha, e argiluviação secundária, verificada na porosidade mais aberta e evoluída da coalescência das cavidades. Os solos apresentam mineralogia pouco comum para solos tropicais, com presença de minerais primários de fácil decomposição até mesmo na fração argila, com destaque para o talco, clorita trioctaedral e ocorrência limitada de tremolita, sendo esta última abundante na fração silte. Óxidos de Fe, caulinita e os interestratificados de clorita-esmectita e de clorita-vermiculita completam a assembléia mineralógica. A tendência de evolução é para B textural ou para B nítico com mineralogia 1:1 e alto conteúdo de óxidos de Fe. Nas ases iniciais de alteração, os alteromorfos já apresentam composição química similar aos agregados do solo, com forte perda de Mg, Ca e Si e acúmulo relativo de Al e Fe. Nas três situações estudadas, ocorreu um rejuvenescimento superficial por erosão diferencial, que acumulou material grosseiro e removeu os finos, contribuindo para o incremento da relação textural.},
Keywords = {pedogênese, rochas ultrabásicas; micromorfologia de solos; microanálises por EDRX, talco em solos.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v30n3/31218.pdf}
}
@Mastersthesis{Vieira2002,
Title = {A questão ambiental do resíduo/lixo em Ribeirão Preto (SP)},
Author = {E.A. Vieira},
Pages = {170},
School = {Universidade Estadual Paulista},
Year = {2002},
Keywords = {resíduo/lixo, sociedade moderna, poluição ambiental},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009}
}
@Article{Vieira199x,
Title = {Geoestatística em estudos de variabilidade espacial do solo},
Author = {Sidney R. Vieira},
Journal = {XXXX},
Pages = {XX},
Volume = {XX},
Year = {199x},
Abstract = {Quando uma determinada propriedade varia de um local para outro com algum grau de organização ou continuidade, expresso pela dependência espacial, a estatística clássica deve ser abandonada e dar lugar a uma estatística relativamente nova: a geoestatística. Por estatística clássica entende-se aquela que utiliza parâmetros como média e desvio padrão para representar um fenômeno, e baseia-se na hipótese principal de que as variações de um local para outro são aleatórias. Desse modo, esses dois ramos da estatística têm validade de aplicação em condições perfeitamente distintas. Para se determinar qual das duas deve ser usada em cada caso, utiliza-se o semivariograma que expressa a dependência espacial entre as amostras. Havendo dependência espacial, pode-se estimar valores da propriedade em estudo para os locais não amostrados dentro do campo, sem tendenciosidade e com variância mínima, pelo método denominado krigagem. Além disso, muitas vezes, duas propriedades correlacionam-se entre si e no espaço, e uma é mais difícil ou mais cara para se medir no campo. A dependência espacial entre duas propriedades no espaço pode ser expressa pelo semivariograma cruzado, e se ele existir, o método chamado co-krigagem pode ser utilizado para estimar aquela mais difícil de se medir, utilizando-se os dados de ambas. Estes métodos oferecem a escolha de se medir a propriedade mais difícil com um número mínimo possível. A construção de mapas de contornos (isolinhas), e o delineamento de espaçamento e disposição ótima de amostras no campo são outras aplicações imediatas. Neste trabalho procurou-se dar o maior detalhamento possível nos aspectos teóricos e nos conceitos básicos de geoestatística, numa linguagem simples e compreensível ao leitor. Para ilustrar, utilizaram-se dados da literatura, como exemplo aplicativo para propriedades químicas de solo. Os dados e os programas de geoestatística utilizados estão listados em apêndice no final do trabalho.},
Keywords = {semivariogramas, krigagem, co-krigagem, jack-knifing},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{VieiraEtAl2002,
Title = {Handbook for geoestatistical analysis of variability in soil and climate data},
Author = {S. R. Vieira and J. Millete and G. Topp},
Journal = {Tópicos em Ciência do Solo},
Pages = {1-45},
Volume = {2},
Year = {2002},
Abstract = {Spatial variability has been a concern of agricultural research since the beginning of this century (Smith, 1910; Montgomery, 1913; Waynick & Sharp, 1919; Harris, 1920). Geostatistical procedures were first used in the mining engineering field in South Africa (Krige, 1951). Later, it was put into theory in France (Matheron, 1963). Fifteen years later it was being used in the Soil Science and is extensively used up to now (Campbell, 1978; Vieira, 1979; Hajrasuliha et al., 1980; Burgess & Webster, 1980; Vieira et al., 1981; Vauclin et al., 1982; Vieira, 1982; Vieira et al., 1983; Vauclin et al., 1983; Vieira & Hatfield, 1984; Reichardt et al., 1986; Vieira et al., 1987; Vieira et al., 1988). There have been studies to demystify variability in general (Reichardt et al., 1986), to find new alternative uses and simplifications (Vieira et al., 1997) and to determine the limitations on the uses and advantages of kriging with respect to other methods (Warrick et al. 1988). Geostatistical procedures are powerful tools to study spatial variability. Sampling and analyzing adequately through geostatistics can disclose information about the data not normally revealed by other methods. Moreover, for large areas such as a province or a watershed, kriging still represents the best method of interpolation for the construction of isarithmic or three-dimensional maps. The objective of this paper is to make available computer programs, relevant comments and details involved in each step of geostatistical calculation.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{VieiraEtAl2007,
Title = {Variabilidade espacial de atributos físicos do solo em uma microbacia hidrográfica},
Author = {V.A.S. Vieira and C. R. Mello and J. M. Lima},
Journal = {Ciência e Agrotecnologia},
Pages = {1477-1485},
Volume = {31},
Year = {2007},
Abstract = {A variabilidade espacial dos atributos físicos do solo é importante para a caracterização do comportamento espacial dos solos em bacias hidrográficas. Objetivou-se com este trabalho estudar a variabilidade espacial de atributos físicos do solo em uma microbacia hidrográfica, visando subsidiar estudos de manejo do solo e da água. A área em estudo é uma microbacia que pode ser considerada homogênea para estudos com agentes erosivos, como a precipitação, devido ao tamanho reduzido (1,23 ha), mas de grande variabilidade de respostas à erosão, em função dos atributos do solo, vegetação, histórico de uso e relevo. Com o auxílio de SIG, DGPS e estação total, toda área foi dividida em grid retangular de 20 m, onde o solo foi amostrado em duas camadas, 0 a 20 cm e 20 a 40 cm. Os atributos avaliados foram: teores de areia, silte e argila e argila dispersa em água (ADA). Os resultados foram analisados utilizando-se a estatística básica, como histogramas e assimetria, e geoestatística, por meio de semivariogramas e mapas de krigagem. Houve dependência espacial de todos os atributos analisados, especialmente na camada de 20 a 40 cm.},
File = {:Ciência e Agrotecnologia/Vieira et al_Cienc Agrotec_2007.pdf:PDF},
Keywords = {Geoestatística, física do solo, microbacia hidrográfica.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://www.scielo.br/pdf/cagro/v31n5/31.pdf}
}
@Electronic{Vier2010,
Title = {Analfabetismo funcional chega aos bancos escolares},
Author = {Suzana Vier},
Url = {http://www.brasilwiki.com.br/noticia.php?id_noticia=31428},
Year = {2010},
Journal = {Disponível em: <http://www.brasilwiki.com.br/noticia.php?id_noticia=31428>. Acesso em 27 dez. 2011.},
Owner = {pccli},
Timestamp = {2012.01.10}
}
@Phdthesis{Villela2013,
Title = {Mapeamento digital de solos da Formação Solimões – Urucu, AM},
Author = {Villela, A. L. O.},
Pages = {100},
School = {Agronomia-Ciência do Solo, Universidade Federal Rural do Rio de Janeiro},
Year = {2013},
Owner = {alessandro},
Timestamp = {09.10.2013}
}
@Article{Vincent1983,
Title = {Game theory as a design tool},
Author = {Vincent, T. L.},
Journal = {Journal of Mechanisms Transmissions and Automation in Design},
Pages = {165},
Volume = {105},
Year = {1983},
Number = {2},
Doi = {10.1115/1.3258503},
ISSN = {0738-0666},
Owner = {alessandro},
Publisher = {ASME International}
}
@Article{Vincenty1975,
Title = {Direct and inverse solutions of geodesics on the ellipsoid with application of nested equations},
Author = {Vincenty, T.},
Journal = {Survey Review},
Pages = {88-93},
Volume = {22},
Year = {1975},
Number = {176},
Citeulike-article-id = {6020124},
File = {Vincenty1975.pdf:Vincenty1975.pdf:PDF},
Keywords = {gis, method, spatial; projection system;},
Posted-at = {2009-10-28 15:17:22},
Priority = {2}
}
@Article{ViscarraEtAl2014,
Title = {Baseline map of organic carbon in {Australia}n soil to support national carbon accounting and monitoring under climate change},
Author = {Viscarra Rossel, Raphael A. and Webster, Richard and Bui, Elisabeth N. and Baldock, Jeff A.},
Journal = {Global Change Biology},
Pages = {n/a–n/a},
Year = {2014},
Month = {Apr},
Doi = {10.1111/gcb.12569},
File = {ViscarraEtAl2014.pdf:ViscarraEtAl2014.pdf:PDF},
ISSN = {1354-1013},
Publisher = {Wiley-Blackwell}
}
@Article{ViscarraRosselEtAl2013,
Title = {Mapping gamma radiation and its uncertainty from weathering products in a {T}asmanian landscape with a proximal sensor and random forest kriging},
Author = {Viscarra Rossel, Raphael A. and Webster, Richard and Kidd, Darren},
Journal = {Earth Surface Processes and Landforms},
Pages = {735-748},
Volume = {39},
Year = {2013},
Month = {Oct},
Number = {6},
Doi = {10.1002/esp.3476},
File = {ViscarraRosselEtAl2013.pdf:ViscarraRosselEtAl2013.pdf:PDF},
ISSN = {0197-9337},
Keywords = {Random; Forest;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{Viscarra-RosselEtAl2008,
Title = {Using a digital camera to measure soil organic carbon and iron contents},
Author = {R.A. Viscarra-Rossel and Y. Fouad and C. Walter},
Journal = {Biosystems Engineering},
Pages = {149-159},
Volume = {100},
Year = {2008},
Number = {2},
Abstract = {High-resolution digital soil mapping for applications like precision agriculture requires the collection of good-quality high spatial resolution information. Conventional soil analysis is expensive, time consuming and laborious. The development of proximal soil sensors to lessen the need for or to complement conventional soil analysis is important. Although proximal sensing may produce results that are not as accurate as conventional laboratory analysis, they allow for the collection of larger amounts of data using simpler, cheaper and less laborious techniques. This forms the rationale for proximal soil sensing. This article deals with indirect measurements of soil organic carbon (OC) and iron (Fe) contents using soil colour as the proxy. Measurements of soil colour were made using a digital camera. The RGB tristimuli were transformed to variables from other colour space models and a redness index (RI) and these were used to derive pedotransfer functions for soil OC and Fe. Predictions using univariate as well as full factorial regressions (FFR) of these tristimuli were compared to predictions using visible-near infrared (vis-NIR: 400-1100 nm) spectra with partial least squares regression (PLSR) and a reduced number of wavelengths selected using the variable importance for projection (VIP) with PLSR (VIP-PLSR). For predictions of soil OC content, the VIP-PLSR technique produced predictions with R2adj. and RMSE values of 0.91 and 0.46%. These were only very slightly better than predictions by an FFR of the CIELa*b* tristimuli (R2adj. of 0.91 and an RMSE of 0.48%) and PLSR (R2adj. of 0.91 and an RMSE of 0.50%). Predictions using the logarithmic regression of the CIEv* variable were least accurate with R2adj. and RMSE values of 0.88 and 0.56%. For predictions of Fe, an FFR of the CIELc*h* tristimuli produced an R2adj. of 0.71 and an RMSE of 0.068%, which was better than those obtained by PLSR (R2adj. values of 0.64 and RMSE 0.074%) and VIP-PLSR (R2adj. of 0.64 and 0.075%). Predictions of Fe using the logarithmic regression of the RI produced the least accurate results with R2adj. and RMSE values of 0.56 and 0.081%. In this study, we showed that a digital camera can be used for fast, accurate and non-destructive measurements of soil colour and predictions of soil OC and Fe contents in Brittany, France.},
Doi = {DOI: 10.1016/j.biosystemseng.2008.02.007},
File = {Viscarra-RosselEtAl2008.pdf:Biosystems Engineering/Viscarra-RosselEtAl2008.pdf:PDF},
ISSN = {1537-5110},
Url = {http://www.sciencedirect.com/science/article/B6WXV-4S80CW0-1/2/56d3f4d263475cd7f9774f6e369299ed}
}
@Article{VisscherEtAl2003,
Title = {Simulation model for gas diffusion and methane oxidation in landfill cover soils},
Author = {Alex De Visscher and Oswald Van Cleemput},
Journal = {Waste Management},
Pages = {581?591},
Volume = {23},
Year = {2003},
Doi = {10.1016/S0956-053X(03)00096-5},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009}
}
@Article{VitharanaEtAl2008,
Title = {Key soil and topographic properties to delineate potential management classes for precision agriculture in the European loess area},
Author = {Udayakantha W.A. Vitharana and Marc Van Meirvenne and David Simpson and Liesbet Cockx and Josse De Baerdemaeker},
Journal = {Geoderma},
Pages = {206 - 215},
Volume = {143},
Year = {2008},
Number = {1-2},
Abstract = {Recent advances in on-the-go soil sensing, terrain modelling and yield mapping have made available large quantities of information about the within-field variability of soil and crop properties. But the selection of the key variables for an identification of management zones, required for precision agriculture, is not straightforward. To investigate a procedure for this selection, an 8 ha agricultural field in the Loess belt of Belgium was considered for this study. The available information consisted of: (i) top- and subsoil samples taken at 110 locations, on which soil properties: textural fractions, organic carbon (OC), CaCO3 and pH were analysed, (ii) soil apparent electrical conductivity (ECa) obtained through an electromagnetic induction based sensor, and (iii) wetness index, stream power index and steepest slope angle derived from a detailed digital elevation model (DEM). A principal component analysis, involving 12 soil and topographic properties and two ECa variables, identified three components explaining 67.4% of the total variability. These three components were best represented by pH, ECa that strongly associated with texture and OC. However, OC was closely related to some more readily obtainable topographic properties, and therefore elevation was preferred. A fuzzy k-means classification of these three variables produced four potential management classes. Three-year average standardized yield maps of grain and straw showed productivity differences across these classes, but mainly linked to their landscape position. In the loess area with complex soil-landscape interactions pH, ECa and elevation can be considered as key properties to delineate potential management classes.},
Doi = {10.1016/j.geoderma.2007.11.003},
File = {:Geoderma/Vitharana et al_Geoderma_2008.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Precision agriculture},
Owner = {Alessandro},
Timestamp = {2011.02.15}
}
@Article{VitousekEtAl1997,
Title = {Human Domination of Earth's Ecosystems},
Author = {Peter M. Vitousek and Harold A. Mooney and Jane Lubchenco and Jerry M. Melillo},
Journal = {Science},
Pages = {494-499},
Volume = {277},
Year = {1997},
Abstract = {Human alteration of Earth is substantial and growing. Between one-third and one-half of the land surface has been transformed by human action; the carbon dioxide con- centration in the atmosphere has increased by nearly 30 percent since the beginning of the Industrial Revolution; more atmospheric nitrogen is fixed by humanity than by all natural terrestrial sources combined; more than half of all accessible surface fresh water is put to use by humanity; and about one-quarter of the bird species on Earth have been driven to extinction. By these and other standards, it is clear that we live on a human- dominated planet.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.sciencemag.org/cgi/content/abstract/sci;277/5325/494}
}
@Article{Vizier1986,
Title = {Hydromqrphic phenomena in tropical regions with contrasted seasons: application for a better characterization of concepts of gley and pseudogley},
Author = {Jean-François Vizier},
Journal = {Science du Sol},
Pages = {123-124},
Volume = {xx},
Year = {1986},
Abstract = {After a brief review on hydromorphic phenomena and concepts of gley aod pseudogley in literature, examples of these phenomena and their consequences are presented in soils affected by an excess of water in tropical regions. Morphological features, water regime and iron dynamics have been studied in inundable soils of the plain of Logone-Chari (Chad Basin]. In t h e s e soils excess of water occurs during the rainy season (may-October). Characteristic features of gley and pseudogley are observed in different horizons. Seasonal dynamic is noted in t h e s e soils : variations of t h e porosity due t o swelling and consolidation or compaction in saturated conditions - water regime with seasonal alternation of soil saturation and desiccation - iron dynamics. In these acid soils, particular iron redistribution is the most visible consequence of hydromorphic phenomena. Iron dynamics is influenced by many factors : duration of the excess of water, continuity or discontinuity of the saturation, water movements in waterlogged soils, quantity and quality of organic matter, pH ... Formation of the most visible morphological features can be xplained by the intensity of different processes occuring in iron dynamics (reduction and mobilization, oxidation and immo- bilization - see table]. So, it appears that relationships can be easily established between morphological features and soil forming processes. The gley formation is particulary influenced by mobilization phenomena and the pseudogley formation by immobilization ones. On the other hand, relationships don?t appear easy to establish between morphological features and one or several factors affecting iron dynamic$, such a s conditions in which soils are under excess of water and especially duration of the saturation.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://horizon.documentation.ird.fr/exl-doc/pleins_textes/pleins_textes_5/b_fdi_23-25/29794.pdf}
}
@Article{VoltzEtAl1997,
Title = {Predicting soil properties over a region using sample information from a mapped reference area},
Author = {Voltz, M. and Lagacherie, P. and Louchart, X.},
Journal = {European Journal of Soil Science},
Pages = {19-30},
Volume = {48},
Year = {1997},
Number = {1},
Abstract = {A method for mapping soil properties at a regional scale with acceptable precision and cost was investigated. It combines soil classification and interpolation, and uses sample information from a reference area and simple soil observations over the region. The method consists of two stages. First is the prediction of soil properties at a set of sites covering the region by classifying each site according to the soil classification of the reference area, and then by assigning to each site the values of soil properties measured at the representative profile of its soil class. The second is by interpolating the predictions of the properties from the classes at the observation sites. Three methods were considered: kriging, inverse squared distance and nearest neighbour. The performance of classification combined with interpolation was evaluated for mapping water content at wilting point in an area of 1736 ha in a physiographic region of Southern France. The method was compared with conventional methods, namely kriging with actual data and prediction from a soil map at a scale of 1:100000. Estimates from classification combined with kriging were more precise than those from the 1:1OOOOO soil map in all instances, and close to those of ordinary kriging with actual data when prediction points were near the observation points. Classification combined with inverse squared distance or with nearest neighbour interpolation was always less precise than classification with kriging. However, it was more precise than classification at the 1:100 000 scale except when prediction points were far from the observation points.},
Doi = {10.1111/j.1365-2389.1997.tb00181.x},
File = {:European Journal of Soil Science/Voltz et al_EJSS_1997.pdf:PDF},
ISSN = {1365-2389},
Publisher = {Blackwell Publishing Ltd}
}
@Article{VoltzEtAl1990,
Title = {A comparison of kriging, cubic splines and classification for predicting soil properties from sample information},
Author = {Voltz, M. and Webster, R.},
Journal = {Journal of Soil Science},
Pages = {473–490},
Volume = {41},
Year = {1990},
Month = {Sep},
Number = {3},
Doi = {10.1111/j.1365-2389.1990.tb00080.x},
File = {VoltzEtAl1990.pdf:VoltzEtAl1990.pdf:PDF},
ISSN = {0022-4588},
Keywords = {PEV; cross-validation; pedometrics; DMS; mean squared deviation ratio; scaled root-mean squared error;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Inproceedings{WaddingtonEtAl2003,
Title = {The impacts of mine subsidence on creeks, river valleys and gorges due to underground coal mining operations},
Author = {Waddington, A. and Kay, D.},
Booktitle = {Underground Coal Operators' Conference},
Year = {2003},
Month = {12-14 February 2003},
Location = {University of Wollongong},
Owner = {Alessandro},
Timestamp = {2011.02.15},
Url = {http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1164&context=coal}
}
@Article{WagaiEtAl2008,
Title = {Climate and parent material controls on organic matter storage in surface soils: A three-pool, density-separation approach},
Author = {Rota Wagai and Lawrence M. Mayer and Kanehiro Kitayama and Heike Knicker},
Journal = {Geoderma},
Pages = {23-33},
Volume = {147},
Year = {2008},
Number = {1-2},
Abstract = {Physically- and biochemically-distinct fractions of soil organic matter (SOM) can be separated by density to yield: (i) low-density plant detritus fraction easily separable from soil minerals (f-LF), (ii) low-density materials strongly associated with minerals (m-LF), and (iii) high-density fraction (HF) rich in microbially-processed organic matter strongly associated with minerals. The factors controlling the pool size and chemistry in these fractions, especially those in m-LF, are unclear. We examined the influence of climate and parent material on SOM in these fractions using two sets of forest soils (0-10 cm mineral horizon) developed from contrasting parent materials (metasedimentary vs. ultrabasic igneous rock) along an altitudinal gradient in Mt. Kinabalu, Borneo. From 700 m to upper altitudes (1700, 2700 m), where mean annual temperature decreases from 24 to 12 °C with roughly constant rainfall, surface soil C stocks on both parent materials increased from 2.6-2.8 to 5.4-7.5 kg m- 2 with progressively greater proportions in m-LF and, to less extent, fresher plant detritus fractions. In HF, C and N concentrations increased with altitude though their stocks were roughly constant due to progressively lower bulk density. Labile C assessed by laboratory incubation of bulk soils correlated better with C concentrations in the two LF pools than in HF, especially at the lowest altitude where most SOM is strongly associated with minerals as HF. These results suggest that LF pools are more labile and more sensitive to altitude-induced, climate differences as compared to the HF pool that is protected by the mineral matrix. The C:N ratios of HF on metasedimentary rock increased with altitude (11 to 17) while those on ultrabasic rock remained essentially constant (14-15), implying interactive influence of altitude and parent material on stoichiometry. Unusually high C:N and alkyl-C in m-LF were found in mid-altitude soils, suggesting selective preservation of inherently recalcitrant materials in addition to, or instead of, mineral coating or aggregate occlusion of partially-degraded LF by microbial metabolites.},
Doi = {DOI: 10.1016/j.geoderma.2008.07.010},
File = {:Geoderma/Wagai et al_Geoderma_2008.pdf:PDF},
ISSN = {0016-7061},
Keywords = {Climate gradient; Carbon storage; Occluded light fraction; Tropical forest soil; Organo-mineral association; Temperature sensitivity},
Owner = {pccli},
Timestamp = {2011.08.17},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706108002061}
}
@Article{WagerEtAl2014,
Title = {Confidence intervals for random forests: the jackknife and the infinitesimal jackknife},
Author = {Stefan Wager and Trevor Hastie and Bradley Efron},
Journal = {Journal of Machine Learning Research},
Pages = {1625-1651},
Volume = {15},
Year = {2014},
File = {WagerEtAl2014.pdf:WagerEtAl2014.pdf:PDF},
Keywords = {Random; Forest;},
Owner = {alessandro},
Url = {http://jmlr.org/papers/v15/wager14a.html}
}
@InCollection{WalczakEtAl2004,
Title = {Pedotransfer studies in Poland},
Author = {R. Walczak and B. Witkowska-Walczak and C. Slawinski},
Booktitle = {Developmennt of Pedotransfer Functions in Soil Hydrology},
Publisher = {Elsevier},
Year = {2004},
Editor = {Y. Pachepsky, and W.J. Rawls},
Pages = {449 - 463},
Series = {Developments in Soil Science},
Volume = {30},
Doi = {DOI: 10.1016/S0166-2481(04)30024-3},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4HRP5NV-V/2/b8d7a5b0830e00072a06306e203fc52f}
}
@Article{WalkerEtAl2004,
Title = {The impact of land use on soil carbon in Miombo Woodlands of Malawi},
Author = {Sarah M. Walker and Paul V. Desanker},
Journal = {Forest Ecology and Management},
Pages = {345-360},
Volume = {203},
Year = {2004},
Abstract = {In the Miombo Woodlands Region of south-central Africa, it is estimated 50?80% of the total system?s carbon stock is found in the top 1.5 m belowground. Deforestation and rapid population growth rates have led to reduced fallow periods and widespread land degradation in the south-central Africa area of the Miombo Woodlands. The impact of this land use conversion on belowground carbon and nitrogen stocks within the Miombo Woodlands has not been examined extensively in the past. We addressed how the soil carbon pro?le reacts to conversion to agriculture, the continuation of agriculture, and the ability of the soil carbon budget to recover following abandonment within the Chimaliro Forest Reserve and surrounding villages in Kasungu, Malawi. Protected natural Miombo Woodlands sites, agricultural ?elds of increasing ages, and fallow ?elds of increasing ages were sampled. Surface carbon levels in Miombo soils varied from 1.2 to 3.7%. Agricultural soil carbon was signi?cantly depressed with surface layers ranging from 0.35 to 1.2% carbon. Unexpectedly, fallow carbon and nitrogen levels continued to be signi?cantly repressed (surface soils 0.65?2.3% C), pointing out the possible unsustainability of the current agricultural management cycle dominant in the area. On average, agricultural soils contain 40% less soil carbon than the natural Miombo Woodlands. Soil carbon declined logarithmically with depth within all land use types. Clay content was signi?cantly positively correlated with soil carbon in the top 40 cm and therefore areas of higher clay content contained elevated carbon levels. Although a common attribute to many agricultural systems, bulk densities were not signi?cantly altered by land use changes.},
Doi = {10.1016/j.foreco.2004.08.004},
File = {:Forest Ecology and Management/Walker and Desanker_Forest Ecol Manage_2004.pdf:PDF},
Keywords = {Miombo; Dry tropical forest; Soil carbon; Shifting-cultivation; Agriculture; Land use change},
Owner = {Alessandro},
Timestamp = {2011.01.03}
}
@Article{WalkerEtAl2003,
Title = {Defining uncertainty: a conceptual basis for uncertainty management in model-based decision support},
Author = {Walker, W.E. and Harremoës, P. and Rotmans, J. and van der Sluijs, J.P. and van Asselt, M.B.A. and Janssen, P. and Krayer von Krauss, M.P.},
Journal = {Integrated Assessment},
Pages = {5-17},
Volume = {4},
Year = {2003},
Number = {1},
Abstract = { The aim of this paper is to provide a conceptual basis for the systematic treatment of uncertainty in model-based decision support activities such as policy analysis, integrated assessment and risk assessment. It focuses on the uncertainty perceived from the point of view of those providing information to support policy decisions (i.e., the modellers’ view on uncertainty) – uncertainty regarding the analytical outcomes and conclusions of the decision support exercise. Within the regulatory and management sciences, there is neither commonly shared terminology nor full agreement on a typology of uncertainties. Our aim is to synthesise a wide variety of contributions on uncertainty in model-based decision support in order to provide an interdisciplinary theoretical framework for systematic uncertainty analysis. To that end we adopt a general definition of uncertainty as being any deviation from the unachievable ideal of completely deterministic knowledge of the relevant system. We further propose to discriminate among three dimensions of uncertainty: location, level and nature of uncertainty, and we harmonise existing typologies to further detail the concepts behind these three dimensions of uncertainty. We propose an uncertainty matrix as a heuristic tool to classify and report the various dimensions of uncertainty, thereby providing a conceptual framework for better communication among analysts as well as between them and policymakers and stakeholders. Understanding the various dimensions of uncertainty helps in identifying, articulating, and prioritising critical uncertainties, which is a crucial step to more adequate acknowledgement and treatment of uncertainty in decision support endeavours and more focused research on complex, inherently uncertain, policy issues. },
Doi = {10.1076/iaij.4.1.5.16466},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1076/iaij.4.1.5.16466},
File = {WalkerEtAl2003.pdf:WalkerEtAl2003.pdf:PDF},
Url = {http://www.tandfonline.com/doi/abs/10.1076/iaij.4.1.5.16466}
}
@InCollection{WalterEtAl2006,
Title = {Integrating pedological knowledge into digital soil mapping},
Author = {C. Walter and P. Lagacherie and S. Follain},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {22},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {281 - 615},
Series = {Developments in Soil Science },
Volume = {31},
Abstract = {Classical soil survey usually integrated existing pedological knowledge to enhance its efficiency and compensate for very low standard sampling densities. This approach has been criticised because the information taken into account was not explicitly specified and validation procedures were not developed. We advocate that pedological knowledge of soil landscape distribution, soil-forming factors and soil processes is essential to modern soil spatial analysis and may be rigorously integrated into soil mapping. Basic reasons for such integration are an increase in prediction efficiency and also the necessity to link soil maps to dynamic modelling, enabling risk assessment and impact studies. Several approaches are reviewed including spatial prediction techniques using existing soil maps and spatial modelling based on soil-forming factors. Combination in the near future of space and time modelling demands additional integration of the dynamics of physical and biochemical soil processes. },
Doi = {10.1016/S0166-2481(06)31022-7},
File = {WalterEtAl2006.pdf:Developments in Soil Science/WalterEtAl2006.pdf:PDF},
ISSN = {0166-2481},
Keywords = {Nested; Sampling;}
}
@Article{WalterEtAl2005,
Title = {Spatial point-process statistics: concepts and application to the analysis of lead contamination in urban soil},
Author = {Walter, Christian and McBratney, Alex. B. and Viscarra Rossel, Raphael A. and Markus, Julie A.},
Journal = {Environmetrics},
Pages = {339-355},
Volume = {16},
Year = {2005},
Number = {4},
Abstract = {This article explores the use of spatial point-process analysis as an aid to describe topsoil lead distribution in urban environments. The data used were collected in Glebe, an inner suburb of Sydney. The approach focuses on the locations of punctual events defining a point pattern, which can be statistically described through local intensity estimates and between-point distance functions. F-, G- and K-surfaces of a marked spatial point pattern were described and used to estimate nearest distance functions over a sliding band of quantiles belonging to the marking variable. This provided a continuous view of the point pattern properties as a function of the marking variable. Several random fields were simulated by selecting points from random, clustered or regular point processes and diffusing them. Recognition of the underlying point process using variograms derived from dense sampling was difficult because, structurally, the variograms were very similar. Point-event distance functions were useful complimentary tools that, in most cases, enabled clear recognition of the clustered processes. Spatial sampling quantile point pattern analysis was defined and applied to the Glebe data set. The analysis showed that the highest lead concentrations were strongly clustered. The comparison of this data set with the simulation confidence limits of a Poisson process, a short-radius clustered point process and a geostatistical simulation showed a random process for the third quartile of lead concentrations but strong clustering for the data in the upper quartile. Thus the distribution of topsoil lead concentrations over Glebe may have resulted from several contamination processes, mainly from regular or random processes with large diffusion ranges and short-range clustered processes for the hot spots. Point patterns with the same characteristics as the Glebe experimental pattern could be generated by separate additive geostatistical simulation. Spatial sampling quantile point patterns statistics can, in an easy and accurate way, be used complementarily with geostatistical methods. Copyright © 2005 John Wiley & Sons, Ltd.},
Doi = {10.1002/env.705},
File = {WalterEtAl2005.pdf:WalterEtAl2005.pdf:PDF},
ISSN = {1099-095X},
Keywords = {point process, point pattern, heavy metals, soil pollution, stochastic simulations, geostatistics; ppp; Diggle; Ripley;},
Publisher = {John Wiley \& Sons, Ltd.}
}
@Article{WalvoortEtAl2010,
Title = {An {R} package for spatial coverage sampling and random sampling from compact geographical strata by k-means},
Author = {D. J. J. Walvoort and D. J. Brus and J. J. de Gruijter},
Journal = {Computers \& Geosciences},
Pages = {1261-1267},
Volume = {36},
Year = {2010},
Number = {10},
Doi = {10.1016/j.cageo.2010.04.005},
File = {WalvoortEtAl2010.pdf:WalvoortEtAl2010.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Design-based; Sampling; Pedometrics; DSM;}
}
@Article{WalvoortEtAl2001,
Title = {Compositional kriging: a spatial interpolation method for compositional data},
Author = {Dennis J. J. Walvoort and de Gruijter, Jaap J},
Journal = {Mathematical Geology},
Pages = {951-966},
Volume = {33},
Year = {2001},
Number = {8},
Abstract = {Compositional data are very common in the earth sciences. Nevertheless, little attention has been paid to the spatial interpolation of these data sets. Most interpolators do not necessarily satisfy the constant sum and nonnegativity constraints of compositional data, nor take spatial structure into account. Therefore, compositional kriging is introduced as a straightforward extension of ordinary kriging that complies with these constraints. In two case studies, the performance of compositional kriging is compared with that of the additive logratio-transform. In the first case study, compositional kriging yielded significantly more accurate predictions than the additive logratio-transform, while in the second case study the performances were comparable.},
File = {WalvoortEtAl2001.pdf:WalvoortEtAl2001.pdf:PDF},
Keywords = {redemds; closed data, geostatistics, indicator kriging, fuzzy sets, ternary diagram},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.23},
Url = {http://rd.springer.com/article/10.1023/A%3A1012250107121}
}
@Article{WangEtAl2007,
Title = {EDTA-enhanced phytoremediation of lead contaminated soil by Bidens maximowicziana},
Author = {Wang, Hong-qi and Lu, Si-jin and Li, hua and Yao, Zhi-hua},
Journal = {Journal of Environmental Sciences},
Pages = {1496-1499},
Volume = {19},
Year = {2007},
Abstract = {Phytoremediation is a potential cleanup technology for the removal of heavy metals from contaminated soils. Bidens maximowicziana is a new Pb hyperaccumulator, which not only has remarkable tolerance to Pb but also extraordinary accumulation capacity for Pb. The maximum Pb concentration was 1509.3 mg/kg in roots and 2164.7 mg/kg in overground tissues. The Pb distribution order in the B. maximowicziana was: leaf > stem > root. The e?ect of amendments on phytoremediation was also studied. The mobility of soil Pb and the Pb concentrations in plants were both increased by EDTA application. Compared with CK (control check), EDTA application promoted translocation of Pb to overground parts of the plant. The Pb concentrations in overground parts of plants was increased from 24.23?680.56 mg/kg to 29.07?1905.57 mg/kg. This research demonstrated that B. maximowicziana appeared to be suitable for phytoremediation of Pb contaminated soil, especially, combination with EDTA.},
Keywords = {phytoremediation; Bidens maximowicziana; lead; amendment; EDTA},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.ncbi.nlm.nih.gov/pubmed/18277655}
}
@Article{WangEtAl2003,
Title = {Analysis on soil nutrient characteristics for sustainable land use in Danangou catchment of the Loess Plateau, China},
Author = {Jun Wang and Bojie Fu and Yang Qiu and Liding Chen},
Journal = {Catena},
Pages = {17 - 29},
Volume = {54},
Year = {2003},
Note = {Soil Erosion and Participatory Land Use Planning on the Loess Plateau in China},
Number = {1-2},
Abstract = {Understanding of the characteristics of soil organic matter (SOM) and soil nutrients at the field and catchment scale is important for refining agricultural management practices and for improving sustainable land use. In order to analyze on SOM and nutrient differences among different land use types and their relationships between land use, landscape position and slope aspect, 94 sampling sites including 7 land uses were selected along 6 transects in the Danangou catchment with an area of 3.5 km2 on the Loess Plateau of China. Significant differences in SOM, total N (TN), available N (AN) and available P (AP) among these land uses were found. Higher values in SOM, TN and AN were measured in soils from woodland and grassland, but lower values in the soils from fallow land and cropland. Compare SOM and TN with cropland, intercropping land had high contents. The adjusted R2 values of regression models for SOM and nutrients with land use, landscape position and slope aspect ranged from 0.501 (SOM) to 0.134 (AP). A comparison between average predicted and measured values for SOM and each soil nutrient revealed that the predicted values in TP and AN for each land use, in SOM and TN except for fallow land and in AP except for intercropping land, shrub land and woodland, fell with in a 95% confidence interval about the measured values. The simplified predicted models of soil nutrients combined with the key value of SOM for soil quality can serve to improve agricultural practices and to provide useful information on sustainable land use. Improvement in SOM and nutrients would be expected from more C inputs including manure and crop residues and alternative cultivation practices such as developing intercropping system, building terrace for soil and water conservation, return the cropland with SOM content less than a key value of 0.44% to the grassland and woodland on the hilly areas similar to the Loess Plateau of China. At the same time, it is recommended that nitrogen fertilization addition could be decreased in the foot slope and increased on the upper slope.},
Doi = {DOI: 10.1016/S0341-8162(03)00054-7},
File = {WangEtAl2003.pdf:Catena/WangEtAl2003.pdf:PDF},
ISSN = {0341-8162},
Keywords = {Soil organic matter; Soil nutrient; Sustainable land use; The Loess Plateau of China},
Url = {http://www.sciencedirect.com/science/article/B6VCG-48J48GW-2/2/a07232b1c4c84db6960559c72de951f4}
}
@Article{WangEtAl2013,
Title = {Design-based spatial sampling: theory and implementation},
Author = {Wang, Jin-Feng and Jiang, Cheng-Sheng and Hu, Mao-Gui and Cao, Zhi-Dong and Guo, Yan-Sha and Li, Lian-Fa and Liu, Tie-Jun and Meng, Bin},
Journal = {Environmental Modelling \& Software},
Pages = {280–288},
Volume = {40},
Year = {2013},
Month = {Feb},
Doi = {10.1016/j.envsoft.2012.09.015},
File = {WangEtAl2013.pdf:WangEtAl2013.pdf:PDF},
ISSN = {1364-8152},
Keywords = {Sampling; Design; Optimization; Spatial; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{WangEtAl2012,
Title = {A review of spatial sampling},
Author = {Wang, Jin-Feng and Stein, A. and Gao, Bin-Bo and Ge, Yong},
Journal = {Spatial Statistics},
Pages = {1-14},
Volume = {2},
Year = {2012},
Month = {Dec},
Doi = {10.1016/j.spasta.2012.08.001},
File = {WangEtAl2012.pdf:WangEtAl2012.pdf:PDF},
ISSN = {2211-6753},
Keywords = {Spatial; Sampling; Optimization; Design; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{WarrenEtAl2003,
Title = {Indigenous views of soil erosion at Fandou Béri, southwestern Niger},
Author = {Andrew Warren and Henny Osbahr and Simon Batterbury and Adrian Chappell},
Journal = {Geoderma},
Pages = {439?456},
Volume = {111},
Year = {2003},
Abstract = {Soil is being eroded from the village lands of Fandou Be?ri, in southwestern Niger, at rates of over 30 t ha 1 year 1, as measured by the 137Cs method. These figures exceed those that were used to label the Sahel a ??hot spot?? for soil erosion. The response to these data in international agronomic research organisations has been to make large investments in soil erosion research, but this contrasts with the meagre relative commitment to the problem by local Djerma (Zarma) and Fulani farmers. Farmers are more concerned about the loss of fertility than the loss of soil, per se, a viewpoint that embeds decisions about land use and conservation in a much broader decision-making process. Practices like paillage (laying of millet stalks) could be interpreted as tacit acknowledgement of erosion, but they have many other purposes. We ask, who is correct in their assessment of erosion? the villagers or the agronomists? By comparing scientific evidence, local views and measurements of erosion, we conclude that the farmers? opinions are a valid contribution to a complex argument that consists of short-, medium- and long-term issues. Short-term effects are acknowledged by both farmers and scientists. They include sand blasting of young crops, the burial or exposure of crops by floods or windstorms, and the removal of organic matter and nutrients. However, the amounts and values of the losses incurred in these ways are difficult to establish. In the medium term, significant losses of water- and nutrient-holding capacity only occur where erosion has drastically reduced soil thickness, but this affects very few fields. We believe that most of the soils in Fandou Be?ri are deep sands that can withstand many years of erosion before they lose significant production capacity. The longer-term issue is whether farmers should be asked to conserve soil for some abstract and distant purpose? The negative effects of erosion, at whatever scale, must be balanced against the maintenance of a community that depends on a holistically conceived system of risk-avoidance agriculture in which erosion may be unavoidable, given the current constraints of labour and the imperative to get a crop each year in the face of variable and unpredictable rainfall. The imposition of a rigorous system of soil conservation might threaten the cohesion of the community. Only a more open and productive debate between the scientific community, the state, and farmers can reach a more satisfactory framing of the ?erosion problem?.},
File = {:Geoderma/Warren et al_Geoderma_2003.pdf:PDF},
Keywords = {Fandou Be?ri; Soil erosion; Niger},
Owner = {Alessandro Samuel Rosa},
Timestamp = {15.02.2010},
Url = {http://www.ingentaconnect.com/content/els/00167061/2003/00000111/00000003/art00276}
}
@Article{WarrickEtAl1987,
Title = {Optimization of sampling locations for variogram calculations},
Author = {Warrick, A. W. and Myers, D. E.},
Journal = {Water Resources Research},
Pages = {496-500},
Volume = {23},
Year = {1987},
Month = {Mar},
Number = {3},
Doi = {10.1029/wr023i003p00496},
File = {WarrickEtAl1987.pdf:WarrickEtAl1987.pdf:PDF},
ISSN = {0043-1397},
Keywords = {Spatial; Sampling; Design; Optimization; DSM; Pedometrics; Starting; Sample; Pattern;},
Owner = {alessandro}
}
@Article{WartonEtAl2010,
Title = {Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology},
Author = {David I Warton and Leah C Shepherd},
Journal = {The Annals of Applied Statistics},
Pages = {1383–1402},
Volume = {4},
Year = {2010},
Number = {3},
Abstract = {Presence-only data, point locations where a species has been recorded as being present, are often used in modeling the distribution of a species as a function of a set of explanatory variables - whether to map species occurrence, to understand its association with the environment, or to predict its response to environmental change. Currently, ecologists most commonly analyze presence-only data by adding randomly chosen “pseudo-absences” to the data such that it can be analyzed using logistic regression, an approach which has weaknesses in model specification, in interpretation, and in implementation. To address these issues, we propose Poisson point process modeling of the intensity of presences. We also derive a link between the proposed approach and logistic regression - specifically, we show that as the number of pseudo-absences increases (in a regular or uniform random arrangement), logistic regression slope parameters and their standard errors converge to those of the corresponding Poisson point process model. We discuss the practical implications of these results. In particular, point process modeling offers a framework for choice of the number and location of pseudo-absences, both of which are currently chosen by ad hoc and sometimes ineffective methods in ecology, a point which we illustrate by example.},
Doi = {10.1214/10-AOAS331},
File = {WartonEtAl2010.pdf:WartonEtAl2010.pdf:PDF},
Keywords = {ppp; point pattern analysis; subsampling; habitat modeling; quadrature points; occurrence data; pseudo-absences; species distribution modeling;},
Owner = {alessandro},
Timestamp = {07.11.2013}
}
@Book{Wasserman2006,
Title = {All of nonparametric statistics},
Author = {Larry Wasserman},
Pages = {268},
Publisher = {New York, USA: Springer},
Year = {2006},
Edition = {1},
File = {Wasserman2006.pdf:Book/Wasserman2006.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Book{WatersEtAl2002,
Title = {{SEBAL - Surface Energy Balance Algorithms for Land}},
Address = {Kimberly},
Author = {Ralf Waters and Richard Allen and Masahiro Tasumi and Ricardo Trezza and Wim Bastiaanssen},
Pages = {98},
Publisher = {University of Idaho},
Year = {2002},
Edition = {1},
Abstract = {This manual explains a remote image-processing model for predicting ET termed SEBAL (Surface Energy Balance Algorithm for Land). SEBAL calculates ET through a series of computations that generate: net surface radiation, soil heat flux, and sensible heat flux to the air. By subtracting the soil heat flux and sensible heat flux from the net radiation at the surface we are left with a “residual” energy flux that is used for evapotranspiration (i.e. energy that is used to convert the liquid water into water vapor). This manual describes the theoretical basis of SEBAL using images from Landsat 5 and 7 satellites. However, the theory is independent of the satellite type and this manual could be applied to other satellite images if used with appropriate coefficients.},
File = {WatersEtAl2002.pdf:WatersEtAl2002.pdf:PDF},
Keywords = {image correction; ndvi;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.16}
}
@Manual{vanWaveren1987,
Title = {Guidelines for the Description and Coding of Soil Data},
Address = {Wageningen},
Author = {van Waveren, E. J.},
Pages = {62},
Publisher = {ISRIC – World Soil Information},
Year = {1987},
File = {vanWaveren1987.pdf:vanWaveren1987.pdf:PDF},
Keywords = {manual; fao;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.12.30},
Url = {http://library.wur.nl/isric/index2.html?url=http://library.wur.nl/WebQuery/isric/27090}
}
@Article{WeberEtAl1992,
Title = {Evaluation and comparison of spatial interpolators},
Author = {Weber, Dennis and Englund, Evan},
Journal = {Math Geol},
Pages = {381–391},
Volume = {24},
Year = {1992},
Month = {May},
Number = {4},
Doi = {10.1007/bf00891270},
File = {WeberEtAl1992.pdf:WeberEtAl1992.pdf:PDF},
ISSN = {1573-8868},
Keywords = {Lognormal; back-transform; pedometrics; Lagrangian;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Manual{Weber2005,
Title = {Estilo bibtex compatível com a ‘norma’ 6023 da ABNT: Questões específicas da ‘norma’ 10520. Versão 1.32},
Author = {Gerald Weber},
Pages = {23},
Publisher = {GRUPO ABNTEX},
Year = {2005},
File = {Weber2005.pdf:Weber2005.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.12},
Url = {http://abntex.codigolivre.org.br/}
}
@Article{WeberEtAl2005,
Title = {Cargas elétricas estruturais e variáveis de solos tropicais altamente intemperizados},
Author = {Oscarlina Lucia Dos Santos Weber and José Carlos Chitolina and Otávio Antonio De Camargo and Luis Reynaldo Ferracciu Alleoni},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {867-873},
Volume = {29},
Year = {2005},
Abstract = {Os solos tropicais altamente intemperizados apresentam teor significativo de colóides com carga elétrica variável. Entretanto, são poucas as referências em relação à quantificação destas cargas, principalmente em solos ácricos, que representam o extremo na escala de intemperismo. Neste estudo, foram determinadas as cargas permanentes e as variáveis de dois Latossolos Vermelhos acriférricos, um Latossolo Amarelo ácrico e um Latossolo Amarelo acriférrico, que foram comparados a um Nitossolo Vermelho eutroférrico, com carga predominantemente permanente. As amostras foram investigadas pelo método da adsorção do íon césio (Cs + ), que mede a carga estrutural permanente (????? o ) e baseia-se na preferência do Cs + sobre o Li + na superfície da siloxana de grupos de superfície ionizáveis de menor seletividade ao íon Cs + . A carga variável representou mais que 50 % da carga total dos solos estudados. Dois dos quatro Latossolos com propriedades ácricas exibiram quantidade significativa de carga permanente, provavelmente em razão da presença de vermiculita com hidróxi entrecamadas e clorita. A quantidade de carga permanente apresentada pelo Nitossolo foi até cinco vezes maior se comparada à dos Latossolos, o que pode ser atribuído à diferença na constituição mineralógica. O método da adsorção de Cs foi capaz de identificar teores significativos de carga permanente estrutural, mesmo em solos com baixo teor de minerais 2:1.},
Keywords = {césio, mineralogia, troca iônica.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v29n6/28955.pdf}
}
@Article{Webster2007,
Title = {Analysis of variance, inference, multiple comparisons and sampling effects in soil research},
Author = {Richard Webster},
Journal = {European Journal of Soil Science},
Pages = {74-82},
Volume = {58},
Year = {2007},
Abstract = {The analysis of variance is a crucial step in extracting information from efficiently designed experiments and surveys in soil science. It is only the beginning, however. From it, follow the standard errors (SEs) of means, SEs of differences and other effects provided by experiments, which in turn lead to tests of significance. Use the simple least significant difference (LSD) at some acceptable probability for testing comparisons of individual means. Do not use experiment-wise multiple comparison tests. In experiments with graded treatments do not make multiple comparisons of any kind; instead fit a response curve and analyse the data by regression. Sampling fluctuation within experimental units and surveys contributes short-range variation to the residual variance of measured soil properties and increases errors. Diminish this contribu- tion either by replicate sampling and measurement within plots or by bulking before measurement. Sample all replicates in the field; sampling in the laboratory (pseudo-replication) is no substitute. In almost all investigations the mean values for experimental treatments and survey classes are the most important outcomes. So report them with their SEs; readers will then be able to make of them what they will.},
Doi = {10.1111/j.1365-2389.2006.00801.x},
File = {:European Journal of Soil Science/Webster_EJSS_2007.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2010.12.30}
}
@Article{Webster2003,
Title = {Let's re-write the scientific paper},
Author = {Richard Webster},
Journal = {European Journal of Soil Science},
Pages = {215-218},
Volume = {54},
Year = {2003},
Abstract = {The European Journal of Soil Science rapidly established itself as a leader, strong in most branches of soil science. Nevertheless, it would be even more attractive if authors would break away from the misleading formalism and stultifying style of the conventional scientific paper. Let us report our research more nearly as it happened; let us overcome our fear of revealing our humanity, our good luck, even our fail- ings, and acknowledge the contributions from our intuition and imagination as well as the hard graft in the field and at the bench. Let us also liven our prose by writing more in the active voice and so that readers can know who did what and who is responsible. Let us convey the wonder of discovery in our writing without sacrificing scientific rigour; then soil research would be seen to be exciting with a bright future.},
Doi = {10.1046/j.1365-2389.2003.00515.x},
File = {:European Journal of Soil Science/Webster_Eur J Soil Sci_2003.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2010.12.30}
}
@Article{Webster2001,
Title = {Statistics to support soil research and their presentation},
Author = {Richard Webster},
Journal = {European Journal of Soil Science},
Pages = {331-340},
Volume = {52},
Year = {2001},
Abstract = {Much soil research needs statistics to support and confirm impressions and interpretations of investigations in field and laboratory. Many soil scientists have not been trained in statistical method and as a result apply quite elementary techniques out of context and without understanding. This article concentrates on the most common abuses and misunderstandings and points authors to proper use. It distinguishes variance and standard deviation for measuring dispersion from standard error to indicate confidence in estimates of means. It describes the strictly limited context in which to use the coefficient of variation. It stresses the importance of quoting means and differences between them in contrast to statistical significance, which is at best of secondary interest. It guides readers to inspect and explore their data before deciding to transform them for analysis and illustrates what can be achieved by taking logarithms of single variates and by principal component analysis of multivariate data.},
Doi = {10.1046/j.1365-2389.2001.00383.x},
File = {:European Journal of Soil Science/Webster_Eur J Soil Sci_2001.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Webster1997,
Title = {Regression and functional relations},
Author = {Richard Webster},
Journal = {European Journal of Soil Science},
Pages = {557-566},
Volume = {48},
Year = {1997},
Abstract = {Regression is frequently abused in soil research. Its proper use is for statistical prediction. It may also be used to calculate equations for calibration. A regression equation may be used to express a functional relation between two soil variables that are thought to be related by some simple mathematical law but only when one of the variables is known exactly. In most other circumstances regression is inappropriate. Where departures from a functional relation are a result of errors of measurement and sampling fluctuation it should be replaced by a structural analysis to find the best equation. Where the underlying relation is truly bivariate it should be described as such.},
Doi = {10.1111/j.1365-2389.1997.tb00222.x},
File = {:European Journal of Soil Science/Webster_Eur J Soil Sci_1997.pdf:PDF},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{Webster1994,
Title = {The development of pedometrics},
Author = {R. Webster},
Journal = {Geoderma},
Pages = {1 - 15},
Volume = {62},
Year = {1994},
Number = {1–3},
Abstract = {Pedometrics, essentially the application of probability and statistics to soil, has its origins in agronomy in the early part of this century. For several decades it was a tool for designing experiments and surveys and in advisory work. It burgeoned in the 1960s for predicting soil properties at remote sites, for creating and analysing classifications, and for exploring multivariate relations. The 1970s brought a reappraisal, leading to changes of classifying strategy from hierarchical to non-hierarchical and to a new appreciation of the nature of soil variation itself. Pedometricians began to treat soil properties as spatially correlated random processes and to tap the richness of geostatistics for analysis and prediction. Image-analysing computers have brought new opportunities for analysing soil structure, especially that of the pores, their sizes, shapes, and topology. There is still a need to relate the directly observed porous structure to hydraulics and mechanical behaviour of soil. Fractals may have a role. To a more limited degree pedometrics has helped in elucidating pedogenesis by quantifying relations between individual soil properties and controlling factors. Solving the full system of multivariate equations needed to describe the products of soil genesis in individual regions, let alone globally, remains one of the biggest challenges for pedometricians. Advanced pedometric techniques and the theory on which they are based now exceed the comprehension of many soil scientists. It is time to teach the subject from sound and clear expository texts.},
Doi = {10.1016/0016-7061(94)90024-8},
File = {Webster1994.pdf:Webster1994.pdf:PDF}
}
@Article{WebsterEtAl1983,
Title = {Spatial variation in soil and the role of kriging},
Author = {Webster, R. and Burgess, T.M.},
Journal = {Agricultural Water Management},
Pages = {111–122},
Volume = {6},
Year = {1983},
Month = {May},
Number = {2-3},
Doi = {10.1016/0378-3774(83)90003-3},
File = {WebsterEtAl1983.pdf:WebsterEtAl1983.pdf:PDF},
ISSN = {0378-3774},
Keywords = {Sampling; Optimization; Design; Spatial; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{WebsterEtAl1972,
Title = {Computer-based soil mapping of small areas from sample data},
Author = {Webster, R. and Burrough, P. A.},
Journal = {Journal of Soil Science},
Pages = {210-221},
Volume = {23},
Year = {1972},
Number = {2},
Abstract = {A 1400 m Ã? 600 m rectangular area of north Berkshire had been sampled at the intersections of a 100 m square grid, and seventeen properties of the soil profile measured. The eighty-four sampling sites were classified numerically to produce a hierarchy, and the classes of the upper part of the hierarchy mapped. The mapped classes became increasingly fragmented as the number of classes increased. At the 3-class level, the classes corresponded to character space clusters and class fragmentation was not serious. Principal-component analysis of the sample data yielded a first component that accounted for 40 per cent of the total variance and well represented the field characters used for soil classification. An isarithm map of the first component shows how the soil changes gradually over the landscape in good agreement with a soil-series map made by free survey.},
Doi = {10.1111/j.1365-2389.1972.tb01654.x},
ISSN = {1365-2389},
Publisher = {Blackwell Publishing Ltd}
}
@Article{WebsterEtAl2006,
Title = {The {K}alman filter for the pedologist’s tool kit},
Author = {Webster, R. and Heuvelink, G. B. M.},
Journal = {Eur J Soil Science},
Pages = {758–773},
Volume = {57},
Year = {2006},
Month = {Dec},
Number = {6},
Doi = {10.1111/j.1365-2389.2006.00879.x},
File = {WebsterEtAl2006.pdf:WebsterEtAl2006.pdf:PDF},
ISSN = {1365-2389},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Book{WebsterEtAl2013,
Title = {Field sampling for environmental science and management},
Address = {London},
Author = {R Webster and R M Lark},
Pages = {200},
Publisher = {Routledge},
Year = {2013}
}
@Article{WebsterEtAl1989,
Title = {On the Akaike Information Criterion for choosing models for variograms of soil properties},
Author = {Webster, R. and McBratney, A. B.},
Journal = {Journal of Soil Science},
Pages = {493--496},
Volume = {40},
Year = {1989},
Number = {3},
Abstract = {A problem in the application of geostatistics to soil is to find satisfactory models for variograms of soil properties. It is usually solved by fitting plausible models to the sample variogram by weighted least squares approximation. The residual sum of squares can always be diminished, and the fit improved in that sense, by adding parameters to the model. A satisfactory compromise between goodness of fit and parsimony can be achieved by applying the Akaike Information Criterion (AIC). For a given set of data the variable part of the AIC is estimated by where n is the number of experimental points on the variogram, R is the residual sum of squares and p is the number of parameters in the model. The model to choose is the one for which  is least.The AIC is closely related to Akaike's earlier final prediction error and the Schwarz criterion. It is also equivalent to an F test when adding parameters in nested models.},
Doi = {10.1111/j.1365-2389.1989.tb01291.x},
File = {WebsterEtAl1989.pdf:WebsterEtAl1989.pdf:PDF},
ISSN = {1365-2389},
Owner = {alessandro},
Publisher = {Blackwell Publishing Ltd},
Timestamp = {08.07.2013}
}
@Book{WebsterEtAl1990,
Title = {Statistical methods in soil and land resource survey},
Address = {Oxford},
Author = {R. Webster and M.A. Oliver},
Pages = {316},
Publisher = {Oxford University Press},
Year = {1990},
Keywords = {redemds},
Owner = {pccli},
Timestamp = {2011.09.30}
}
@Book{WebsterEtAl2007,
Title = {Geostatistics for environmental scientists},
Address = {Chichester},
Author = {Webster, R. and Oliver, M. A.},
Pages = {315},
Publisher = {John Wiley \& Sons},
Year = {2007},
Edition = {2},
File = {WebsterEtAl2007.pdf:Book/WebsterEtAl2007.pdf:PDF},
Keywords = {redemds; indicator kriging; akaike; REML; linear mixed model; Cressie; MSDR; cross-validation;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Article{WebsterEtAl1992,
Title = {Sample adequately to estimate variograms of soil properties},
Author = {Webster, Richard and Oliver, Margaret A.},
Journal = {Journal of Soil Science},
Pages = {177-192},
Volume = {43},
Year = {1992},
Number = {1},
Abstract = {The variogram is central in the spatial analysis of soil, yet it is often estimated from few data, and its precision is unknown because confidence limits cannot be determined analytically from a single set of data. Approximate confidence intervals for the variogram of a soil property can be found numerically by simulating a large field of values using a plausible model and then taking many samples from it and computing the observed variogram of each sample. A sampling distribution of the variogram and its percentiles can then be obtained. When this is done for situations typical in soil and environmental surveys it seems that variograms computed on fewer than 50 data are of little value and that at least 100 data are needed. Our experiments suggest that for a normally distributed isotropic variable a variogram computed from a sample of 150 data might often be satisfactory, while one derived from 225 data will usually be reliable.},
Doi = {10.1111/j.1365-2389.1992.tb00128.x},
File = {WebsterEtAl1992.pdf:WebsterEtAl1992.pdf:PDF},
ISSN = {1365-2389},
Keywords = {Pedometrics; Sampling; Optimization; Design; Spatial; DSM; Method-of-moments;},
Publisher = {Blackwell Publishing Ltd}
}
@Article{WebsterEtAl2006a,
Title = {Estimating the spatial scales of regionalized variables by nested sampling, hierarchical analysis of variance and residual maximum likelihood},
Author = {Webster, R. and Welham, S.J. and Potts, J.M. and Oliver, M.A.},
Journal = {Computers and Geosciences},
Pages = {1320–1333},
Volume = {32},
Year = {2006},
Month = {Nov},
Number = {9},
Doi = {10.1016/j.cageo.2005.12.002},
File = {WebsterEtAl2006a.pdf:WebsterEtAl2006a.pdf:PDF},
ISSN = {0098-3004},
Keywords = {Spatial; Sampling; Design; Optimization; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{Wechsler2007,
Title = {Uncertainties associated with digital elevation models for hydrologic applications: a review},
Author = {Wechsler, Suzanne Perlitsh},
Journal = {Hydrology and Earth System Sciences},
Pages = {1481-1500},
Volume = {11},
Year = {2007},
Abstract = {Digital elevation models (DEMs) represent the topography that drives surface flow and are arguably one of the more important data sources for deriving variables used by numerous hydrologic models. A considerable amount of research has been conducted to address uncertainty associated with error in digital elevation models (DEMs) and the propagation of error to derived terrain parameters. This review brings together a discussion of research in fundamental topical areas related to DEM uncertainty that affect the use of DEMs for hydrologic applications. These areas include: (a) DEM error; (b) topographic parameters frequently derived from DEMs and the associated algorithms used to derive these parameters; (c) the influence of DEM scale as imposed by grid cell resolution; (d) DEM interpolation; and (e) terrain surface modification used to generate hydrologically-viable DEM surfaces. Each of these topical areas contributes to DEM uncertainty and may potentially influence results of distributed parameter hydrologic models that rely on DEMs for the derivation of input parameters. The current state of research on methods developed to quantify DEM uncertainty is reviewed. Based on this review, implications of DEM uncertainty and suggestions for the GIS research and user communities are offered.},
File = {Wechsler2007.pdf:Wechsler2007.pdf:PDF},
Keywords = {DEM; Error; Uncertainty;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.03},
Url = {www.hydrol-earth-syst-sci.net/11/1481/2007/}
}
@Article{Wechsler2003,
Title = {Perceptions of digital elevation model uncertainty by {DEM} users},
Author = {Wechsler, Suzanne Perlitsh},
Journal = {URISA Journal},
Pages = {57-64},
Volume = {15},
Year = {2003},
Number = {2},
Abstract = {{A survey of digital elevation model (DEM) users was conducted to investigate how respondents use elevation data and how they perceive and address DEM uncertainty arising from unknown error in the elevation data. The information reported here is based on 216 survey responses received between June 4, 1998 and June 4, 2000. DEM users from 26 countries and various organizations and industries participated in the survey. Half of the respondents recognized that their work is \^{A} ? sometimes\^{A}? or \^{A} ? always\^{A}? affected by uncertainty, and 55 indicated that uncertainty is \^{A} ? very important\^{A}? or \^{A} ? somewhat important.\^{A}? Respondents reported that they would spend a minimum amount of time to assess DEM uncertainty. The methods used by the small group of respondents who \^{A} ? always\^{A}? account for uncertainty (21\%) were varied. There does not appear to be consistent procedures for addressing uncertainty among the community of DEM users. The effects of DEM uncertainty should be explicit, and procedures for addressing it should be consistent so that conclusions from DEM-based analyses take uncertainty into account.}},
Citeulike-article-id = {2013233},
Citeulike-linkout-0 = {http://urisa.org/Journal/protect/Vol15No2/Wechsler.pdf},
File = {Wechsler2003.pdf:Wechsler2003.pdf:PDF},
Keywords = {DEM; Error; Uncertainty;},
Posted-at = {2007-11-29 10:30:43},
Priority = {2},
Url = {http://urisa.org/Journal/protect/Vol15No2/Wechsler.pdf}
}
@Inproceedings{Wechsler1999,
Title = {Digital elevation model (DEM) uncertainty: evaluation and effect on topographic parameters},
Author = {Suzanne Perlitsh Wechsler},
Booktitle = {19th Annual Esri International User Conference, San Diego, California},
Year = {1999},
Abstract = {Digital Elevation Models (DEMs) are representations of topography with inherent errors that constitute uncertainty. DEM data are often used in analyses without quantifying the effects of these errors. A method for simulating uncertainty that is implemented as an extension for the ArcView/Spatial Analyst GIS environment was developed. Users can evaluate DEM uncertainty using DEM metadata and spatial characteristics of the DEM. Monte-Carlo simulation techniques were used to represent DEM uncertainty and its effect on various topographic parameters (slope, upslope area, and the topographic index) often used in hydrologic analyses. Different methods for representing error and quantifying uncertainty were investigated.},
File = {Wechsler1999.pdf:Wechsler1999.pdf:PDF},
Keywords = {DEM; Error; Uncertainty;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.13},
Url = {http://proceedings.esri.com/library/userconf/proc99/proceed/papers/pap262/p262.htm}
}
@Article{WechslerEtAl2006,
Title = {Quantifying {DEM} uncertainty and its effect on topographic parameters},
Author = {Wechsler, Suzanne Perlitsh and Kroll, Charles N},
Journal = {Photogrammetric Engineering and Remote Sensing},
Pages = {1081-1090},
Volume = {72},
Year = {2006},
Number = {9},
Abstract = {Digital elevation models (DEMs) are representations of topography with inherent errors that constitute uncertainty. DEM data are often used in analyses without quantifying the effects of these errors. This paper describes a Monte Carlo methodology for evaluation of the effects of uncertainty on elevation and derived topographic parameters. Four methods for representing DEM uncertainty that utilize meta-data and spatial characteristics of a DEM are presented. Seven statistics derived from simulation results were used to quantify the effect of DEM error. When uncertainty was quantified by the average relative absolute difference, elevation did not deviate. The range of deviation across the four methods for slope was 5 to 8 percent, 460 to 950 percent for derived catchment areas and 4 to 9 percent for the topographic index. This research demonstrates how application of this methodology can address DEM uncertainty, contributing to more responsible use of elevation and derived topographic parameters, and ultimately results obtained from their use.},
Doi = {0099-1112/06/7209?1081/$3.00/0},
File = {WechslerEtAl2006.pdf:WechslerEtAl2006.pdf:PDF},
Keywords = {redemds; DEM; Error; Uncertainty;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.28}
}
@Article{Wedderburn1974,
Title = {Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method},
Author = {R.W.M. Wedderburn},
Journal = {Biometrika},
Pages = {439-447},
Volume = {61},
Year = {1974},
Abstract = {To define a likelihood we have to specify the form of distribution of the observations, but to define a quasi-likelihood function we need only specify a relation between the mean and variance of the observations and the quasi-likelihood can then be used for estimation. For a one-parameter exponential family the log likelihood is the same as the quasi-likelihood and it follows that assuming a one-parameter exponential family is the weakest sort of distributional assumption that can be made. The Gauss-Newton method for calculating nonlinear least squares estimates generalizes easily to deal with maximum quasi-likelihood estimates, and a rearrangement of this produces a generalization of the method described by Nelder & Wedderburn (1972).},
File = {Wedderburn1974.pdf:Biometrika/Wedderburn1974.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{WehrensEtAl1997,
Title = {Bootstrapping principal component regression models},
Author = {R. Wehrens and {VAN DER LINDEN}, W.E.},
Journal = {Journal of Chemometrics},
Pages = {157-171},
Volume = {11},
Year = {1997},
Number = {2},
Abstract = {Bootstrap methods can be used as an alternative for cross-validation in regression procedures such as principal component regression (PCR). Several bootstrap methods for the estimation of prediction errors and confidence intervals are presented. It is shown that bootstrap error estimates are consistent with cross-validation estimates but exhibit less variability. This makes it easier to select the correct number of latent variables in the model. Using bootstrap confidence intervals for the regression vectors, it is possible to select a subset of the original variables to include in the regression, yielding a more parsimonious model with smaller prediction errors. The methods are illustrated using PCR, but can be applied to all regression models yielding a vector or matrix of regression coefficients.},
File = {WehrensEtAl1997.pdf:WehrensEtAl1997.pdf:PDF},
Keywords = {Variable selection; prediction error estimation; bootstrap; latent variable regression; redemds;},
Publisher = {Wiley},
Url = {http://doc.utwente.nl/71435/}
}
@Manual{WeicheltEtAl2013,
Title = {The RapidEye Red Edge Band},
Author = {Horst Weichelt and Pablo Rosso and Alexander Marx and Sandra Reigber and Kim Douglass and Markus Heynen},
Pages = {8},
Publisher = {Black Bridge},
Year = {2013},
File = {WeicheltEtAl2013.pdf:WeicheltEtAl2013.pdf:PDF},
Keywords = {RapidEye; Satellite;},
Url = {http://blackbridge.com/rapideye/upload/Red_Edge_White_Paper.pdf}
}
@Electronic{WeierEtAl2011,
Title = {Measuring vegetation {(NDVI and EVI)}},
Author = {John Weier and David Herring},
HowPublished = {Online},
Language = {English},
Month = {January},
Organization = {NASA},
Url = {http://earthobservatory.nasa.gov/Features/MeasuringVegetation/printall.php},
Year = {2011},
Abstract = {Though we often take the plants and trees around us for granted, almost every aspect of our lives depends upon them. They feed us, cloth us, absorb carbon dioxide, provide us with oxygen, and give us building materials and medications. When drastic changes occur to the vegetation around us, our health, economy, and environment are all affected. Twenty-five years ago, for instance, thousands of people starved when thevegetation in the Sahel region of Africa dried up during an extended drought. Over the past five decades deforestation in South America has left thousands of acres fallow and has destroyed many species including possible valuable medications.},
File = {:Internet/Weier and Herring_Internet_2011.pdf:PDF},
Owner = {Administrador},
Timestamp = {2011.01.24}
}
@Article{WeillEtAl2008,
Title = {Estudo da erosão na microbacia do Ceveiro (Piracicaba, SP). ii - interpretação da tolerância de perda de solo utilizando o método do índice de tempo de vida},
Author = {Mara De Andrade Marinho Weill and Gerd Sparovek},
Journal = {Revista Brasileira de Ciência do Solo},
Pages = {815-824},
Volume = {32},
Year = {2008},
Abstract = {A erosão acelerada do solo, um processo basicamente induzido pela ação antrópica, muito contribui para a degradação da qualidade das terras aráveis em todo o mundo, além de constituir a principal fonte não pontual de poluição dos recursos hídricos superficiais. Considerando a demanda efetiva pelo desenvolvimento de indicadores para avaliação do impacto da erosão na qualidade do solo em sistemas de produção agrícola, este trabalho teve por objetivo desenvolver um índice, com valor prognóstico, para ser aplicado como uma ferramenta de planejamento na interpretação da tolerância de perda de solo em áreas agrícolas. Foi desenvolvido o método designado ?Índice de Tempo de Vida do Solo?, para se proceder ao diagnóstico da erosão em uma área predominantemente utilizada com a cultura da cana-de-açúcar no município de Piracicaba (SP). Na realização do trabalho, foram empregados geotécnicas e métodos de análise geoestatística, sendo o processamento e a análise dos dados efetivados em ambiente de sistema de informação geográfica do tipo matricial. As taxas anuais médias de perda de solo foram estimadas em trabalho anterior, empregando a equação universal de perda de solo (EUPS), com ajuste dos fatores do modelo às condições locais da área de estudo. Nos cálculos do índice de tempo de vida do solo, foi presumida uma taxa de renovação de 0,2 mm ano -1 e foram analisadas duas profundidades, de 50 e de 100 cm, consideradas mínimas para o uso agrícola. A avaliação da espessura do solum revelou que, na área de estudo, predominam solos pouco profundos, com médias ponderadas pelas áreas de ocorrência de 78 cm, solos ocupados com cana-de-açúcar, e de 72 cm, solos ocupados com outros usos. A aplicação do índice de tempo de vida revelou que, adotando a profundidade crítica de 50 cm, o tempo de vida médio do solo nas áreas ocupadas com cana-de-açúcar é de 178 anos, e que, mantida a expectativa atual de perdas, pouco mais de 70 anos serão suficientes para degradar o recurso em cerca de 50 % da área cultivada com cana-de-açúcar (meia-vida do solo). Para a profundidade crítica de 100 cm, a situação se agrava, e o tempo de vida médio do solo nas áreas ocupadas com cana-de-açúcar cai para apenas 102 anos e a meia-vida para 42 anos. A aplicação do método possibilitou ainda estimar em cerca de 19 e de 74 % as proporções da área cultivada com cana-de-açúcar em que a atual situação já é de impacto permanente instalado (tempo de vida do solo zero), isto é, locais onde as taxas de perda de solo são superiores à taxa de renovação, e a espessura do solo já é inferior às profundidades críticas consideradas, no caso 50 m e 100 cm, respectivamente. Nas condições atuais de uso e manejo, a situação de conservação de recursos, em particular do solo, pôde ser caracterizada em apenas 7,6 ha ou em menos de 1 % da área com cana-de-açúcar. A taxa de renovação do solo foi superior às taxas estimadas de perdas por erosão. Em mais de 99 % da área ocupada com cana-de-açúcar, portanto, as taxas estimadas de perda de solo por erosão superam a taxa de renovação do solo (p > r), caracterizando a degradação de recursos. O índice proposto mostrou-se uma ferramenta promissora para interpretação da tolerância da perda de solo aplicada ao planejamento do uso agrícola em bases sustentáveis.},
Keywords = {meia-vida do solo, EUPS, SIG, programa IDRISI.},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://www.scielo.br/pdf/rbcs/v32n2/35.pdf}
}
@Article{WeinbergEtAl2004,
Title = {What controls gold distribution in Archean terranes?},
Author = {Roberto F. Weinberg and Paul F. Hodkiewicz and David I. Groves},
Journal = {Geology},
Pages = {545-548},
Volume = {32},
Year = {2004},
Abstract = {Despite intensive efforts, determination of a predictable pattern of gold distribution to enhance process understanding and simplify exploration has remained elusive. The pattern of gold dis- tribution along the Archean Boulder-Lefroy shear zone in the Yil- garn craton of Western Australia provides insights into gold dis- tribution in one of the world?s richest provinces. Four world-class gold deposits, including the giant Golden Mile at Kalgoorlie, are regularly spaced along the shear zone, providing a window into understanding large-scale Archean hydrothermal systems. Rela- tionships among gold endowment, shear-zone trend, and geologic complexity, as measured by fractal dimensions, indicate that (1) ore fluids were focused into those parts of the shear zone with greatest misorientation from the regional trend, which define di- lational sites during shearing and became the sites of world-class gold deposits; and (2) the degree of complexity contrast along the shear zone modulated gold endowment.},
File = {WeinbergEtAl2004.pdf:Geology/WeinbergEtAl2004.pdf:PDF},
Keywords = {gold, Archean, fractal dimensions, hydrothermal systems, dilational jogs, box-counting},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.24}
}
@Manual{Weir2009,
Title = {Landsat 5 Orthorectification and Processing Specifications and Guidelines},
Author = {Graeme R. Weir},
Year = {2009},
File = {Weir2009.pdf:Weir2009.pdf:PDF},
Owner = {alessandro},
Timestamp = {06.12.2013},
Url = {http://www.for.gov.bc.ca/hts/rs/standards/Landsat_5_Orthorectification_and_Processing_Specifications_and_Guidelines_v3-0.pdf}
}
@Book{Weisberg2005,
Title = {Applied linear regression},
Address = {Hoboken},
Author = {Sanford Weisberg},
Pages = {310},
Publisher = {John Wiley and Sons},
Year = {2005},
Edition = {3},
File = {Weisberg2005.pdf:Book/Weisberg2005.pdf:PDF},
Keywords = {regression through the origin; Akaike Information Criterion; linear models; regression;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.06}
}
@Article{WeissEtAl2001,
Title = {{Application of NOAA-AVHRR NDVI time-series data to assess changes in Saudi Arabia’s rangelands}},
Author = {E. Weiss and S. E. Marsh and E. S. Pfirman},
Journal = {International Journal of Remote Sensing},
Pages = {1005-1027},
Volume = {22},
Year = {2001},
Number = {6},
Abstract = {The primary objective of this study was to assess the condition of a portion of Saudi Arabia’s rangelands and evaluate the eVects of grazing by the animal herds of indigenous nomads over the last decade. Because of the desertic condition of these rangelands, changes in vegetation cover are more subtle than would be the case for other, less arid areas. Consequently, a new analytic methodo- logy for the detection of desertification of arid and hyper-arid rangelands was developed specifically for this project. The conceptual framework for the analysis is the use of the coe cient of variation (COV) of the monthly Normalized DiVerence Vegetation Index (NDVI, maximum-value composite) as a measure of vegetative biomass change. A higher NDVI COV for a given pixel (excluding cases of changes in land use) represents a greater change in vegetation biomass in the ground area represented by that pixel. Linear regression was used to determine the trend in COV values for each pixel over the 12-year period for which data was available; pixels with a negative slope are considered to represent ground areas with decreasing amounts of vegetation. Results were validated by tests of statistical significance and by comparison of the theoretical results to vegetation change and land-cover data from the remote sensing systems and from reconnaissance fiights over select areas. These desertification trend results were then combined with land-cover information to provide an assessment of desertification status.},
File = {WeissEtAl2001.pdf:WeissEtAl2001.pdf:PDF},
Keywords = {ndvi; standard deviation; coefficient of variation;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.20}
}
@Article{Welch1938,
Title = {The significance of the difference between two means when the population variances are unequal},
Author = {Welch, B. L.},
Journal = {Biometrika},
Pages = {350-362},
Volume = {29},
Year = {1938},
Number = {3/4},
Copyright = {Copyright © 1938 Biometrika Trust},
File = {Welch1938.pdf:Biometrika/Welch1938.pdf:PDF},
ISSN = {00063444},
Jstor_articletype = {research-article},
Jstor_formatteddate = {Feb., 1938},
Language = {English},
Publisher = {Biometrika Trust},
Url = {http://www.jstor.org/stable/2332010}
}
@Article{WerlangEtAl2010,
Title = {Trabalho de campo em geomorfologia: visualização de formas de relevo, solos e dinâmica erosiva na topossequência desde a {D}epressão {P}eriférica sul-rio-grandense até o {R}ebordo do {P}lanalto (planaltos e chapadas da {B}acia {S}edimentar do {P}araná) em {S}anta {M}aria-{RS/S}ilveira {M}artins-{RS}},
Author = {Mauro Kumpfer Werlang and Joceli Augusto Gross and Pedro Porto and Priscila Gutterres Rodrigues},
Journal = {Geografia Ensino e Pesquisa},
Pages = {18-26},
Volume = {14},
Year = {2010},
Number = {3},
File = {WerlangEtAl2010.pdf:WerlangEtAl2010.pdf:PDF},
Keywords = {dnos; geomorfologia; geologia; caturrita;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.10.12},
Url = {http://cascavel.ufsm.br/revistageografia/index.php/revistageografia/issue/view/63}
}
@Article{WesternEtAl2004,
Title = {Spatial correlation of soil moisture in small catchments and its relationship to dominant spatial hydrological processes},
Author = {Andrew W. Western and Sen-Lin Zhou and Rodger B. Grayson and Thomas A. McMahon and Günter Blöschl and David J. Wilson},
Journal = {Journal of Hydrology},
Pages = {113-134},
Volume = {286},
Year = {2004},
Abstract = {The geostatistical properties of soil moisture patterns from five different sites in Australia (Tarrawarra and Point Nepean) and New Zealand (three sites from the Mahurangi River Basin?Carran?s, Clayden?s and Satellite Station) are analysed here. The soil moisture data were collected using time domain reflectometry and consistent methods for all sites, thereby allowing comparisons to be drawn between sites without the complication of methodological differences. The sites have contrasting climatic and soils characteristics. Soil moisture in the top 30 cm of the soil profile was measured using time domain reflectometry on 6?8 occasions at each site. The variance and correlation structure of the patterns was analysed. Typical correlation scales lie between 30 and 60 m. We found that there was a seasonal evolution in the spatial soil moisture variance that was related to changes in the spatial mean moisture content at all sites. At the Australian sites there was also a seasonal evolution in the correlation length related to changes in the spatial mean moisture, but not at the New Zealand sites. The seasonal evolution of the correlation length in the Australian catchments is likely to be associated with a seasonal change in the processes controlling the soil moisture pattern. The more humid climate at the New Zealand sites leads to more consistent spatial controls over the year. Similarities between the correlation structure of the moisture and topographic indices representing lateral flow and topographically modulated evaporative forcing were found at Tarrawarra, Carran?s and Clayden?s. At Point Nepean the correlation structure of the soil moisture pattern is controlled by a larger (than the topography) scale variation in soils, properties and at Satellite Station a smaller scale source of variability is apparent in the data (although there were also topographical effects apparent, associated with valley features). The results demonstrate that the processes controlling spatial patterns can change between places and over time with catchment moisture status; however, when similar general conditions reoccur in a catchment, similar spatial patterns result. Soil characteristics and climate do provide a general pointer to what we might expect but the results also show subtleties specific to place.},
Doi = {10.1016/j.jhydrol.2003.09.014},
Keywords = {Soil moisture; Variogram; Correlation structure; Time domain reflectometry; Topography},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{Westlake1997,
Title = {Sustainable landfill - possibility or pipe-dream?},
Author = {K. Westlake},
Journal = {Waste Management and Research},
Pages = {453?461},
Volume = {15},
Year = {1997},
Keywords = {Sustainable development, sustainable landfill, risk assessment, bioreactor, pretreatment},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009},
Url = {http://www.ingentaconnect.com/content/els/0734242x/1997/00000015/00000005/art90101}
}
@Article{Westphal-FitchEtAl2013,
Title = {Spatial analysis of “crazy quilts”, a class of potentially random aesthetic artefacts},
Author = {Westphal-Fitch, Gesche and Fitch, W. Tecumseh},
Journal = {PLoS ONE},
Pages = {e74055},
Volume = {8},
Year = {2013},
Month = {Sep},
Number = {9},
Doi = {10.1371/journal.pone.0074055},
Editor = {Martinez, Luis M.Editor},
File = {Westphal-FitchEtAl2013.pdf:Westphal-FitchEtAl2013.pdf:PDF},
ISSN = {1932-6203},
Keywords = {Point; Pattern; Analysis;},
Owner = {alessandro},
Publisher = {Public Library of Science (PLoS)}
}
@Article{WhiteEtAl1996,
Title = {Analysis of Frequency Count Data Using the Negative Binomial Distribution},
Author = {White, Gary C. and Bennetts, Robert E.},
Journal = {Ecology},
Pages = {2549},
Volume = {77},
Year = {1996},
Month = {Dec},
Number = {8},
Doi = {10.2307/2265753},
File = {WhiteEtAl1996.pdf:WhiteEtAl1996.pdf:PDF},
Groups = {public},
ISSN = {0012-9658},
Keywords = {binomial; distribution; count;},
Owner = {alessandro},
Publisher = {JSTOR},
Url = {http://dx.doi.org/10.2307/2265753}
}
@Article{WhiteEtAl2004,
Title = {Mutagens in contaminated soil: a review},
Author = {Paul A. White and Larry D. Claxton},
Journal = {Mutation Research},
Pages = {227?345},
Volume = {567},
Year = {2004},
Doi = {10.1016/j.mrrev.2004.09.003},
Keywords = {Salmonella; Tradescantia; Allium; Mutagen; Clastogen; Soil pollution},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009}
}
@Article{WhittinghamEtAl2006,
Title = {Why do we still use stepwise modelling in ecology and behaviour?},
Author = {Mark J. Whittingham and Philip A. Stephens and Richard B. Bradbury and Robert P. Freckleton},
Journal = {Journal of Animal Ecology},
Pages = {1182-1189},
Volume = {75},
Year = {2006},
Abstract = {1. The biases and shortcomings of stepwise multiple regression are well established within the statistical literature. However, an examination of papers published in 2004 by three leading ecological and behavioural journals suggested that the use of this technique remains widespread: of 65 papers in which a multiple regression approach was used, 57% of studies used a stepwise procedure. 2. The principal drawbacks of stepwise multiple regression include bias in parameter estimation, inconsistencies among model selection algorithms, an inherent (but often overlooked) problem of multiple hypothesis testing, and an inappropriate focus or reliance on a single best model. We discuss each of these issues with examples. 3. We use a worked example of data on yellowhammer distribution collected over 4 years to highlight the pitfalls of stepwise regression. We show that stepwise regression allows models containing signi?cant predictors to be obtained from each year?s data. In spite of the signi?cance of the selected models, they vary substantially between years and suggest patterns that are at odds with those determined by analysing the full, 4-year data set. 4. An information theoretic (IT) analysis of the yellowhammer data set illustrates why the varying outcomes of stepwise analyses arise. In particular, the IT approach identi?es large numbers of competing models that could describe the data equally well, showing that no one model should be relied upon for inference.},
Doi = {10.1111/j.1365-2656.2006.01141.x},
File = {WhittinghamEtAl2006.pdf:WhittinghamEtAl2006.pdf:PDF},
Keywords = {ecological modelling, habitat selection, minimum adequate model, multivariate statistical analysis, statistical bias},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.24}
}
@Book{Wickham2009,
Title = {ggplot2: elegant graphics for data analysis},
Address = {New York},
Author = {Hadley Wickham},
Pages = {2012},
Publisher = {Springer},
Year = {2009},
ISBN = {978-0-387-98140-6},
Url = {http://had.co.nz/ggplot2/book}
}
@Book{Wierzbick2014,
Title = {Imprisoned in {E}nglish. {T}he hazards of {E}nglish as a default language},
Address = {Oxford},
Author = {Anna Wierzbicka},
Pages = {304},
Publisher = {Oxford University Press},
Year = {2014}
}
@Conference{Wiethoelter2002,
Title = {Revisão das recomendações de adubação e de calagem para os Estados do Rio Grande do Sul e de Santa Catarina},
Author = {Sirio Wiethölter},
Year = {2002},
Institution = {IV Reunião Sul-brasileira de Ciência do Solo, UFRGS},
Owner = {Administrador},
Timestamp = {2011.01.11}
}
@Electronic{Wikipedia2013,
Title = {Reference management software},
Author = {Wikipedia},
HowPublished = {Online},
Month = {Março},
Url = {http://en.wikipedia.org/wiki/Reference_management_software},
Year = {2013},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.09}
}
@Misc{Wikipedia2012c,
Title = {False discovery rate -- Wikipedia{,} The Free Encyclopedia},
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Note = {[Online; accessed 12-June-2012]},
Year = {2012},
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}
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}
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}
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Title = {Log-normal distribution -- Wikipedia{,} The Free Encyclopedia},
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Year = {2012},
Url = {http://en.wikipedia.org/w/index.php?title=Log-normal_distribution&oldid=492189323}
}
@Misc{Wikipedia2012j,
Title = {Markov chain -- Wikipedia{,} The Free Encyclopedia},
Author = {Wikipedia},
Note = {[Online; accessed 13-May-2012]},
Year = {2012},
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}
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Title = {Markov chain {Monte} {Carlo}},
Author = {Wikipedia},
Month = {May},
Note = {[Online; accessed 14-May-2012]},
Organization = {Wikipedia{,} The Free Encyclopedia},
Url = {http://goo.gl/IwTgH},
Year = {2012},
Keywords = {redemds}
}
@Electronic{Wikipedia2012l,
Title = {Normalized {Difference} {Vegetation} {Index}},
Author = {Wikipedia},
Month = {June},
Note = {[Online; accessed 20-June-2012]},
Organization = {Wikipedia{,} The Free Encyclopedia},
Url = {http://goo.gl/T2XTi},
Year = {2012},
Keywords = {redemds}
}
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Title = {Cross-validation},
Author = {Wikipedia},
Month = {August},
Organization = {Wikipedia{,} The Free Encyclopedia},
Url = {http://goo.gl/OlAtY},
Year = {2012},
Keywords = {redemds}
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}
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@Article{WildingEtAl2006,
Title = {Advancing the frontiers of soil science towards a geoscience},
Author = {Larry P. Wilding and Henry Lin},
Journal = {Geoderma},
Pages = {257 - 274},
Volume = {131},
Year = {2006},
Note = {<ce:title>Hydropedology: Bridging disciplines, scales and data</ce:title>},
Number = {3–4},
Abstract = {The visions, directions, and images of soil science are changing. Historically, soil science has followed a circuitous path in its evolution from a discipline with foundational roots in geology, to an applied agricultural and environmental discipline, and now to a bio- and geo-science through the Earth's Critical Zone investigations. This closes the loop or spiral, but along the way, soil science has become more comprehensive, extensive, integrative, analytical, and quantitative. In spite of the challenges described in this paper, now is a golden era for soil science to integrate its expertise more closely with other bio- and geo-sciences. This will significantly enhance the opportunity to obtain extramural funding and public support, as well as the advancement of soil science. As such, soil science needs to vigorously become more interactive and extend its role beyond traditional agriculture. The knowledge of spatial soil diversity and landscape dynamics is a fundamental underpinning critical to the success of this venture. Pedology, as a unique subdiscipline of soil science, contributes inordinately to Earth science, including, for example, elucidation of field variability, surficial weathering processes, Earth system dynamics, and vadose zone flow and transport. With the blooming of hydrogeosciences, hydropedology is a timely addition in this era of interdisciplinary, multidisciplinary, and systems approaches for developing comprehensive prioritization of science and applications in Earth science. Hydropedology has a niche in this march with other bio- and geo-sciences in addressing global Earth science priorities. Soil scientists support changing paradigms and favor closer linkages with the bio- and geo-sciences community. In this regard, hydropedology has a unique role to play.},
Doi = {10.1016/j.geoderma.2005.03.028},
File = {WildingEtAl2006.pdf:WildingEtAl2006.pdf:PDF},
ISSN = {0016-7061},
Keywords = {The Critical Zone, Earth science, Pedosphere, Hydropedology, Pedology, Soil architecture, Soil function},
Url = {http://www.sciencedirect.com/science/article/pii/S0016706105000790}
}
@InCollection{WilfordEtAl2006,
Title = {The use of airborne gamma-ray imagery for mapping soils and understanding landscape processes},
Author = {J. Wilford and B. Minty},
Booktitle = {Digital soil mapping - an introductory perspective},
Publisher = {Elsevier},
Year = {2006},
Chapter = {16},
Editor = {P. Lagacherie, A.B. McBratney and M. Voltz},
Pages = {207 - 218, 609-610},
Series = {Developments in Soil Science},
Volume = {31},
Abstract = {Airborne gamma-ray spectrometry is a passive remote sensing technique that measures the natural emission of gamma-ray radiation from the upper 30 cm of the earth's surface. The principle gamma-ray emitting isotopes used in airborne geophysical surveys are 40K, and the 232Th and 238U decay series. These are used to estimate potassium, thorium and uranium abundances, respectively. Gamma rays emitted from the earth's surface mainly relate to the mineralogy and geochemistry of the bedrock and weathered materials (e.g. soils, saprolite, alluvial and colluvial sediments). Gamma-ray imagery can thus be regarded as a surface geochemical map showing the distribution of the radionuclides in rocks, regolith and soil. Where the bedrock contains K-bearing minerals, the loss of K in the soil can often be used as a surrogate for mapping the degree of surface weathering and leaching. Potassium is also associated with potassic clays such as illite, and can be found in smaller amounts where it is absorbed onto clays such as montmorillonite and kaolinite. In contrast, U and Th are often associated with more stable weathered constitutes in the soil profile. Uranium and Th released during weathering are readily absorbed onto clay minerals, oxides (Fe and Al) and organic matter in soils. Elevated U and Th can also be associated with resistate minerals. Therefore, Th and U concentrations often increase as K decreases during bedrock weathering and soil formation. In erosional landscapes the gamma-ray response will relate mainly to mineralogy and geochemistry of the bedrock, weathering characteristics and both past and present landscape processes. Responses of soils in depositional landscapes will reflect the geochemistry and mineralogy of the source rocks, or regolith, from which the sediments are derived, and the sorting of the sediments and weathering of the sediments after deposition. In both erosional and depositional landscapes, when the radioelement characteristic of the sources are well understood, gamma-ray data can be used to predict specific soil characteristics and provide information about erosional, depositional and weathering processes},
Doi = {DOI: 10.1016/S0166-2481(06)31016-1},
ISSN = {0166-2481},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4PT86XY-W/2/90821ee68dcedddc6cadce6d7c4f0173}
}
@Article{WilkinsonEtAl2006,
Title = {Slope aspect, slope length and slope inclination controls of shallow soils vegetated by sclerophyllous heath-links to long-term landscape evolution},
Author = {Marshall T. Wilkinson and Geoff S. Humphreys},
Journal = {Geomorphology},
Pages = {347-362},
Volume = {76},
Year = {2006},
Number = {3-4},
Abstract = {On upland Triassic sandstone slopes of the western Blue Mountains, nonswamp, sclerophyllous heath (shrub-dominated vegetation) on shallow soils is commonly found downslope and adjacent to sclerophyllous forest on deeper soils. Some consider heath?and thus shallow soils?as favouring west-facing slopes, which are expected to experience drier microclimates due to insolation, strong and desiccating winds, and severe summer fires. However, our analysis of extensive areas with heath on shallow soils, based on vegetation and topographic maps, and fieldwork of uplands with various degrees of dissection, suggests that aspect is a poor predictor of shallow soils. Rather, shallow soils and heath are found on short slopes and the lower segments of longer slopes with the latter significantly steeper than forested segments. The shallow?deep soil boundary, marked by contrasting modern vegetation structures, does not signify a catchment area threshold, and correspondingly, the vegetation patterns are not in balance with distributary catchment processes, as short slopes are mantled exclusively by shallow soils. Instead, the soil depth boundary represents the propagation of base-level lowering signals, which takes place not only by the headward retreat of knickpoints but also via increased lowering of slope segments adjacent to drainage lines. This leads to steep slopes immediately adjacent to canyons, narrow gorges, and small steep valleys, that are mantled by shallow, discontinuous soils undergoing rapid erosion. These steep slopes persist in the landscape for ?10 My after upland stream rejuvenation until incision of more weatherable Permian sediments, underlying the Triassic cliff-forming sandstones, triggers rapid lateral expansion of gorges. Once shallowly mantled and steeper slopes adjacent to streams are consumed by gorge widening, slopes adjacent to wide gorge clifflines reflect former upland drainage patterns rather than the redirected flow to rapidly widening gorges. Hence, modern vegetation patterns reflect a significant phase of landform development, perhaps combined with enhanced erosion during the Last Glacial Period that is compounded by a humped soil production function on bedrock.},
Doi = {10.1016/j.geomorph.2005.11.011},
File = {WilkinsonEtAl2006.pdf:WilkinsonEtAl2006.pdf:PDF},
Keywords = {Exposure; Landscape evolution; Biogeomorphology; Sandstone; Tors; Southeastern Australian highlands},
Owner = {Administrador},
Timestamp = {2010.12.30},
Url = {http://dx.doi.org/10.1016/j.geomorph.2005.11.011}
}
@Manual{Willighagen2005,
Title = {genalg: {R} based genetic algorithm},
Author = {Egon Willighagen},
Year = {2005},
Abstract = {R based genetic algorithm for binary and floating point chromosomes.},
File = {Willighagen2005.pdf:Willighagen2005.pdf:PDF},
Keywords = {variable selection},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.22},
Url = {http://cran.r-project.org/web/packages/genalg/}
}
@Article{Wilson2012,
Title = {Digital terrain modeling},
Author = {John P. Wilson},
Journal = {Geomorphology},
Pages = {107 - 121},
Volume = {137},
Year = {2012},
Note = {<ce:title>Geospatial Technologies and Geomorphological Mapping Proceedings of the 41st Annual Binghamton Geomorphology Symposium</ce:title>},
Number = {1},
Abstract = {This article examines how the methods and data sources used to generate DEMs and calculate land surface parameters have changed over the past 25 years. The primary goal is to describe the state-of-the-art for a typical digital terrain modeling workflow that starts with data capture, continues with data preprocessing and DEM generation, and concludes with the calculation of one or more primary and secondary land surface parameters. The article first describes some of ways in which LiDAR and RADAR remote sensing technologies have transformed the sources and methods for capturing elevation data. It next discusses the need for and various methods that are currently used to preprocess DEMs along with some of the challenges that confront those who tackle these tasks. The bulk of the article describes some of the subtleties involved in calculating the primary land surface parameters that are derived directly from DEMs without additional inputs and the two sets of secondary land surface parameters that are commonly used to model solar radiation and the accompanying interactions between the land surface and the atmosphere on the one hand and water flow and related surface processes on the other. It concludes with a discussion of the various kinds of errors that are embedded in DEMs, how these may be propagated and carried forward in calculating various land surface parameters, and the consequences of this state-of-affairs for the modern terrain analyst.},
Doi = {10.1016/j.geomorph.2011.03.012},
File = {Wilson2012.pdf:Geomorphology/Wilson2012.pdf:PDF},
Keywords = {Digital elevation models}
}
@Book{WilsonEtAl2000a,
Title = {Terrain analyis: principles and applications},
Address = {New York},
Author = {Wilson, J P and Gallant, J C},
Pages = {479},
Publisher = {John Willey and Sons},
Year = {2000},
File = {WilsonEtAl2000.pdf:Book/WilsonEtAl2000.pdf:PDF},
Keywords = {Aspect; Northerness;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2011.01.25}
}
@Article{Wischmeier1959,
Title = {A rainfall erosion index for a universal soil-loss equation},
Author = {W. H. Wischmeier},
Journal = {Soil Science Society of America Journal},
Pages = {246-249},
Volume = {23},
Year = {1959},
Abstract = {Extensive regression analyses of basic soil-loss data were designed to determine the best indicator of the capacity of a storm to erode soil. The rainstorm characteristic found to be outstanding as such an indicator is the variable whose value is the product of the rainfall energy and maximum 30-minute intensity of the storm (designated as EI). This variable explained from 72 to 97% of the variation in individual-storm erosion from tilled continuous fallow on 6 soils. Seasonal rainfall erosion index values computed by adding the EI values of storms > 0.5 inch explained as high as 94% of the yearly deviation in total soil loss from fallow during the summer season. Tested against data from plots in continuous row crop for 10 or more years at each of four widely separated locations, the summed EI values explained from 72 to 85% of the yearly variation in soil loss within corresponding cover periods. Expected annual values of the index and seasonal distribution of the erosion potential may be readily computed from local rainfall records. This has been done for 60 locations in the 31 Eastern States. About 8,000 plot-years of basic erosion data are being analyzed to evaluate factors for a universal soil-loss equation for which the erosion potential of expected local rainfall serves as the base. Tests show that estimates of average erosion losses computed in this manner are sufficiently accurate to serve as sound bases for conservation farm planning.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.07.2010},
Url = {http://soilslab.cfr.washington.edu/SSSAJ/SSAJ_Abstracts/data/contents/a023-03-0246.pdf}
}
@Manual{WischmeierEtAl1978,
Title = {Predicting rainfall erosion losses - a guide to conservation planning},
Author = {W. H. Wischmeier and D. D. Smith},
Pages = {69},
Publisher = {U.S. Department of Agriculture},
Year = {1978},
Number = {Agriculture Handbook No 537},
Owner = {Alessandro Samuel Rosa},
Timestamp = {19.07.2010}
}
@Article{Wise2000,
Title = {Assessing the quality for hydrological applications of digital elevation models derived from contours},
Author = {Stephen Wise},
Journal = {Hydrological Processes},
Pages = {1909-1929},
Volume = {14},
Year = {2000},
Month = {Aug},
Note = {Special Issue: Geocomputation in Hydrology and Geomorphology},
Number = {11-12},
Doi = {10.1002/1099-1085(20000815/30)14:11/12<1909::AID-HYP45>3.0.CO;2-6},
File = {Wise2000.pdf:Wise2000.pdf:PDF},
Keywords = {DEM;}
}
@Book{Wittgenstein1999,
Title = {Investigações filosóficas},
Address = {São Paulo},
Author = {Ludwig Wittgenstein},
Pages = {207},
Publisher = {Nova Cultural},
Year = {1999},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.09.30}
}
@Mastersthesis{Wojciechowski2006,
Title = {Geoestatística aplicada ao estudo das características físico-químicas do solo em áreas de floresta estacional decidual},
Author = {Julio Cesar Wojciechowski},
Pages = {103},
School = {Federal University of Santa Maria},
Year = {2006},
Keywords = {Geoestatística, variabilidade espacial, solos florestais, floresta estacional},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{WoodEtAl1990,
Title = {Similarity and scale in catchment storm response},
Author = {Wood, Eric F. and Sivapalan, Murugesu and Beven, Keith},
Journal = {Reviews of Geophysics},
Pages = {1-18},
Volume = {28},
Year = {1990},
Number = {1},
Abstract = {Until recently, very little progress had been made in understanding the relationship between small-scale variability of topography, soil, and rainfalls and the storm response seen at the catchment scale. The work reviewed here represents the first attempt at a systematic theoretical framework for such understanding in the context of surface runoff generation by different processes. The parameterization of hydrological processes over a range of scales is examined, and the concept of the “representative elementary area” (REA) is introduced. The REA is a fundamental scale for catchment modeling at which continuum assumptions can be applied for the spatially variable controls and parameters, and spatial patterns no longer have to be considered explicitly. The investigation of scale leads into the concept of hydrologic similarity in which the effects of the environmental controls on runoff generation and flood frequency response be investigated independently of catchment scale. The paper reviews the authors' initial results and hopefully will motivate others to also investigate the issues of hydrologic scale and similarity.},
ISSN = {8755-1209},
Keywords = {1854 Hydrology: Precipitation, 1839 Hydrology: Infiltration, 1860 Hydrology: Runoff and streamflow, 1866 Hydrology: Soil moisture},
Publisher = {AGU},
Url = {http://dx.doi.org/10.1029/RG028i001p00001}
}
@InCollection{Wood2009,
Title = {Geomorphometry in LandSerf},
Author = {J. Wood},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {14},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {333 - 349},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00014-7},
File = {Wood2009.pdf:Wood2009.pdf:PDF},
ISSN = {0166-2481},
Keywords = {LandSerf and its development; dem; resolution; effect; multi-scale;},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-S/2/c0c7216e97b3d9022414af8256fb67f7}
}
@InCollection{Wood2009a,
Title = {Overview of software packages used in geomorphometry},
Author = {J. Wood},
Booktitle = {Geomorphometry - Concepts, Software, Applications},
Publisher = {Elsevier},
Year = {2009},
Address = {Amsterdam},
Chapter = {10},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {257 - 267},
Series = {Developments in Soil Science},
Volume = {33},
Doi = {DOI: 10.1016/S0166-2481(08)00010-X},
File = {Wood2009a.pdf:Wood2009a.pdf:PDF},
ISSN = {0166-2481},
Keywords = {software packages considered in this book},
Owner = {Alessandro},
Timestamp = {2011.01.21},
Url = {http://www.sciencedirect.com/science/article/B7W58-4THRYD9-M/2/41589fef5d96c74fad45dd4e5309a438}
}
@Phdthesis{Wood1996,
Title = {The geomorphological characterisation of digital elevation models},
Author = {Wood, J.},
Pages = {185},
School = {University of Leicester},
Year = {1996},
Address = {Leicester},
File = {Wood1996.pdf:Wood1996.pdf:PDF},
Keywords = {dem; resolution; effect; multi-scale; PhDpaper1},
Owner = {alessandro},
Timestamp = {24.02.2014},
Url = {http://www.soi.city.ac.uk/~jwo/phd/}
}
@Article{WoodEtAl1993,
Title = {Structuring interviews with experts during knowledge elicitation},
Author = {Wood, Larry E. and Ford, John M.},
Journal = {International Journal of Intelligent Systems},
Pages = {71-90},
Volume = {8},
Year = {1993},
Number = {1},
Abstract = {We have developed interviewing techniques for knowledge elicitation based on (1) relevant research and techniques from the social sciences, (2) the nature of expertise, (3) a desire to assist a knowledge engineer to avoid reductive bias, one of the pitfalls associated with the acquisition of highly complex concepts, and (4) the desirability of de-coupling elicitation from implementation. The approach consists of four phases with guidelines for questions suited to each stage. First, the descriptive elicitation stage is intended to reveal the important entities and concepts in the domain as reflected in the terms and specialized language used by the expert. A second stage, structured expansion, is designed to probe the relationships between the domain concepts and the organization of the expert's knowledge using the terminology uncovered in the previous stage. the scripting phase relies on the declarative knowledge found through the two previous stages to discover procedural knowledge, and the final component, validation, is important throughout the process of knowledge elicitation to ensure that the knowledge being elicited is correct and adequate to enable a system in which it is implemented to solve the class of problems with which it is concerned.},
Doi = {10.1002/int.4550080106},
ISSN = {1098-111X},
Publisher = {Wiley Subscription Services, Inc., A Wiley Company},
Url = {http://dx.doi.org/10.1002/int.4550080106}
}
@Article{WuEtAl2008,
Title = {Statistical and geoestatistical characterization of heavy metal concentrations in a contaminated area taking into account soil map units},
Author = {Chunfa Wu and Jiaping Wu and Yongming Luo and Haibo Zhang and Ying Teng},
Journal = {Geoderma},
Pages = {171-179},
Volume = {144},
Year = {2008},
Abstract = {Soil map units were taken into account in geostatistical prediction of heavy metals concentrations in a contaminated site of Fuyang Valley, Zhejiang Province, China. To compare the spatial variabilities of Cu, Zn, Pb and Cd concentrations in different soil map unit or combination of soil map units, a total of 94 samples distributed in three map units (Yellowish-red soil, Gravelly-yellowish-red soil and Gritty-yellowish-red soil) were collected in this area. The values of Cu, Zn, Pb and Cd concentrations were natural logarithm transformed to fit normal distribution. The variations of four heavy metal concentrations in Gravelly-yellowish-red soil was similar to that in Gritty-yellowish-red soil, but they were different to that in Yellowish-red soil. Then, the 94 soil samples were grouped into two classes (samples of Yellowish-red soil, and samples of Gravelly-yellowish-red soil or Gritty-yellowish-red soil). Semivariogram analysis revealed that all the four heavy metal concentrations in the study area showed moderate to strong spatial dependency, and local spatial variability (i.e. the variance between soil map units) played an important role in their spatial prediction. The spatial distribution maps of the four heavy metals were drawn by using only the measured data and by using the measured data plus taking into account soil map units, respectively. The results showed that spatial prediction by taking into account soil map units could reveal the huge spatial variability of the heavy metals, much better than the prediction without using soil map information in this contaminated site.},
Doi = {10.1016/j.geoderma.2007.11.001},
File = {:Geoderma/Wu et al_Geoderma_2008.pdf:PDF},
Keywords = {Contamination; Heavy metals; Semivariogram; Soil map unit; Spatial variability},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009}
}
@Article{WuEtAl2008a,
Title = {Spatial prediction of soil organic matter content using cokriging with remotely sensed data},
Author = {Chunfa Wu and Jiaping Wu and Yongming Luo and Limin Zhang and Stephen D. DeGloria},
Journal = {Soil Science Society of America Journal},
Pages = {1202-1208},
Volume = {73},
Year = {2008},
Abstract = {Accurately measuring soil organic matter content (SOM) in paddy fi elds is important because SOM is one of the key soil properties controlling nutrient budgets in agricultural production systems. Estimation of this soil property at an acceptable level of accuracy is important; especially in the case when SOM exhibits strong spatial dependence and its measurement is a timeand labor-consuming procedure. This study was conducted to evaluate and compare spatial estimation by kriging and cokriging with remotely sensed data to predict SOM using limited available data for a 367-km2 study area in Haining City, Zhejiang Province, China. Measured SOM ranged from 5.7 to 40.4 g kg-1, with a mean of 19.5 g kg-1. Correlation analysis between the SOM content of 131 soil samples and the corresponding digital number (DN) of six bands (Band 1?5 and Band 7) of Landsat Enhanced Thematic Mapper (ETM) imagery showed that correlation between SOM and DN of Band 1 was the highest (r = -0.587). We used the DN of Band 1 as auxiliary data for the SOM prediction, and used descriptive statistics and the kriging standard deviation (STD) to compare the reliabilities of the predictions. We also used crossvalidation to validate the SOM prediction. Results indicate that cokriging with remotely sensed data was superior to kriging in the case of limited available data and the moderately strong linear relationship between remotely sensed data and SOM content. Remotely sensed data such as Landsat ETM imagery have the potential as useful auxiliary variables for improving the precision and reliability of SOM prediction.},
Doi = {10.2136/sssaj2008.0045},
Keywords = {landsat; bands; pedometrics; som; dsm;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {29.07.2009}
}
@Article{XiaoEtAl2009,
Title = {Variation of water retention characteristics due to particle rearrangement under zero gravity},
Author = {Ming Xiao and Lakshmi N. Reddi and Susan L. Steinberg},
Journal = {International Journal Of Geomechanics},
Pages = {179-186},
Volume = {9},
Year = {2009},
Abstract = {Controlled delivery of water to plant root zone remains a challenge in the exploration of plant growth under zero gravity, in which soil water retention characteristics are dif?cult to predict due to possible soil particle rearrangement and pore restructuring. This paper aims to provide an understanding of the effect of soil particle rearrangement on the water retention characteristics in zero gravity. A three-dimensional pore network model is developed to predict water retention characteristics under two forms of particle packing? cubic packing most porous and rhombohedral packing most compact. The pore-throat distributions, as input parameters to the network model, are derived from particle size distribution under the two forms of particle arrangement. The model simulations reveal the quantitative variation of water retention characteristics due to particle rearrangement. Soil particle rearrangement that occurs during the drying process is shown to signi?cantly change the water retention curve when a soil is near saturation. When the soil is near residual water content, the particle rearrangement has little effect on the water retention curve. The model results indicated that an increase in packing density results in decreased water content at saturation, increased bubbling pressure, and accentuated water retention hysteresis. The model also reveals nonuniform spatial distribution of pore ?uid in porous medium in zero gravity. Although this paper studied the soil-water characteristics from the microgravity perspective, its results also contribute to the understanding of the soil-water characteristics due to soil compaction on Earth.},
Doi = {10.1061/ASCE1532-364120099:4179},
File = {XiaoEtAl2009.pdf:XiaoEtAl2009.pdf:PDF},
Keywords = {Vegetation; Soil water; Soil compaction; Particles.},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{XiaoEtAl2007,
Title = {Interactive evolutionary approaches to multiobjective spatial decision making: A synthetic review },
Author = {Ningchuan Xiao and David A. Bennett and Marc P. Armstrong},
Journal = {Computers, Environment and Urban Systems },
Pages = {232 - 252},
Volume = {31},
Year = {2007},
Note = {<ce:title>GeoComputation 2005</ce:title> },
Number = {3},
Doi = {http://dx.doi.org/10.1016/j.compenvurbsys.2006.08.001},
File = {XiaoEtAl2007.pdf:XiaoEtAl2007.pdf:PDF},
ISSN = {0198-9715},
Keywords = {Multiobjective spatial decision making; optimization;},
Owner = {alessandro},
Timestamp = {27.06.2013},
Url = {http://www.sciencedirect.com/science/article/pii/S0198971506000664}
}
@Techreport{Xiaoqing2003,
Title = {Manual on sediment management and measurement},
Author = {Yang Xiaoqing},
Pages = {176},
Year = {2003},
Number = {47},
Type = {Operational Hydrology Report},
Institution = {World Meteorological Organization},
Owner = {Alessandro Samuel Rosa},
Timestamp = {22.07.2010},
Url = {http://www.whycos.org/IMG/pdf/948_E.pdf}
}
@Manual{Xie2013,
Title = {knitr: A general-purpose package for dynamic report generation in R},
Author = {Yihui Xie},
Year = {2013},
Abstract = {This package provides a general-purpose tool for dynamic report generation in R, which can be used to deal with any type of (plain text) files, including Sweave, HTML, Markdown and reStructuredText. The patterns of code chunks and inline R expressions can be customized. R code is evaluated as if it were copied and pasted in an R terminal thanks to the evaluate package (e.g. we do not need to explicitly print() plots from ggplot2 or lattice). R code can be reformatted by the formatR package so that long lines are automatically wrapped, with indent and spaces being added, and comments being preserved. A simple caching mechanism is provided to cache results from computations for the first time and the computations will be skipped the next time. Almost all common graphics devices, including those in base R and add-on packages like Cairo, cairoDevice and tikzDevice, are built-in with this package and it is straightforward to switch between devices without writing any special functions. The width and height as well as alignment of plots in the output document can be specified in chunk options (the size of plots for graphics devices is still supported as usual). Multiple plots can be recorded in a single code chunk, and it is also allowed to rearrange plots to the end of a chunk or just keep the last plot. Warnings, messages and errors are written in the output document by default (can be turned off). Currently LaTeX, HTML, Markdown and reST are supported, and other output formats can be supported by hook functions. The large collection of hooks in this package makes it possible for the user to control almost everything in the R code input and output. Hooks can be used either to format the output or to run a specified R code fragment before or after a code chunk. The language in code chunks is not restricted to R only (there is simple support to Python and Awk, etc). Many features are borrowed from or inspired by Sweave, cacheSweave, pgfSweave, brew and decumar.},
File = {Xie2013.pdf:Xie2013.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.02.15},
Url = {http://cran.r-project.org/web/packages/knitr/index.html}
}
@Article{XieEtAl2002,
Title = {Practical thresholds for separating erosive and non-erosive storms},
Author = {Y. Xie and B. Liu and M. A. Nearing},
Journal = {Transactions of the ASAE},
Pages = {1843-1847},
Volume = {45},
Year = {2002},
Abstract = {Determination of a practical threshold for separating erosive and non?erosive rainfall events can reduce the amount of work necessary to read rainfall charts and to calculate rainfall erosivity. The objective of this study was to develop a method of determining practical thresholds for erosive rainfall events and to evaluate its effectiveness for calculation of erosivity. Rainfall and runoff data measured for three plots and a small watershed from 1961 to 1969 at the Zizhou experimental station of the Yellow River Basin in China were used. Three thresholds for separating erosive events were given by using different types of rainfall data: (1) 12 mm for storm rainfall amount, (2) 2.4 mm h?1 for average rainfall intensity, and (3) 13.3 mm h?1 for the maximum 30?minute rainfall intensity. All methods had less than 0.1% overall error in the prediction of the erosivity value. Peak intensity provided the greatest accuracy for separating erosive rains, followed by rainfall intensity and then rainfall amount. A total of 79%, 77%, and 88% of the total number of events were omitted from the calculations using rainfall amount, average rainfall intensity, and 30?minute peak intensity, respectively. Any of the above three thresholds may be used according to data availability and desired accuracy of the erosivity estimation.},
Keywords = {Soil erosion, Soil loss, Rainfall erosivity, Sediment, USLE, RUSLE.},
Owner = {Alessandro Samuel Rosa},
Timestamp = {28.07.2010},
Url = {http://ddr.nal.usda.gov/bitstream/10113/7025/1/IND43978989.pdf}
}
@Inproceedings{Xu2012,
Title = {Research on Geometric and Radiometric Correction Order and Its Impact for Remote Sensing Image},
Author = {Jiahui Xu},
Booktitle = {Proceedings of the XXII International Society for Photogrammetry and Remote Sensing Congress},
Year = {2012},
Address = {Victoria},
Organization = {ICMS Pty Ltd},
File = {Xu2012.pdf:Xu2012.pdf:PDF},
Owner = {alessandro},
Timestamp = {08.12.2013}
}
@Article{XuEtAl2001,
Title = {Monte Carlo cross-validation},
Author = {Qing-Song Xu and Yi-Zeng Liang},
Journal = {Chemometrics and Intelligent Laboratory Systems},
Pages = {1 - 11},
Volume = {56},
Year = {2001},
Number = {1},
Abstract = {In order to choose correctly the dimension of calibration model in chemistry, a new simple and effective method named Monte Carlo cross validation (MCCV) is introduced in the present work. Unlike leave-one-out procedure commonly used in chemometrics for cross validation (CV), the Monte Carlo cross validation developed in this paper is an asymptotically consistent method in determining the number of components in calibration model. It can avoid an unnecessary large model and therefore decreases the risk of over-fitting for the calibration model. The results obtained from simulation study showed that MCCV has an obviously larger probability than leave-one-out CV in choosing the correct number of components that the model should contain. The results from real data sets demonstrated that MCCV could successfully choose the appropriate model, but leave-one-out CV could not.},
Doi = {10.1016/S0169-7439(00)00122-2},
File = {XuEtAl2001.pdf:XuEtAl2001.pdf:PDF},
ISSN = {0169-7439},
Keywords = {Model, Number of components, Leave-one-out, Cross-validation, Monte Carlo; redemds},
Url = {http://www.sciencedirect.com/science/article/pii/S0169743900001222}
}
@Article{XuEtAl2004,
Title = {Monte {Carlo} cross-validation for selecting a model and estimating the prediction error in multivariate calibration},
Author = {Xu, Qing-Song and Liang, Yi-Zeng and Du, Yi-Ping},
Journal = {Journal of Chemometrics},
Pages = {112-120},
Volume = {18},
Year = {2004},
Number = {2},
Abstract = {A new simple and effective method named Monte Carlo cross validation (MCCV) has been introduced and evaluated for selecting a model and estimating the prediction ability of the model selected. Unlike the leave-one-out procedure widely used in chemometrics for cross-validation (CV), the Monte Carlo cross-validation developed in this paper is an asymptotically consistent method of model selection. It can avoid an unnecessarily large model and therefore decreases the risk of overfitting of the model. The results obtained from a simulation study showed that MCCV has an obviously larger probability than leave-one-out CV (LOO-CV) of selecting the model with best prediction ability and that a corrected MCCV (CMCCV) could give a more accurate estimation of prediction ability than LOO-CV or MCCV. The results obtained with real data sets demonstrated that MCCV could successfully select an appropriate model and that CMCCV could assess the prediction ability of the selected model with satisfactory accuracy. Copyright © 2004 John Wiley & Sons, Ltd.},
Doi = {10.1002/cem.858},
File = {XuEtAl2004.pdf:XuEtAl2004.pdf:PDF},
ISSN = {1099-128X},
Keywords = {model selection, prediction error, cross-validation; redemds},
Publisher = {John Wiley and Sons, Ltd.},
Url = {http://dx.doi.org/10.1002/cem.858}
}
@Article{YangEtAl2010,
Title = {The importance of attending to underlying statistical assumptions},
Author = {Hongwei Yang and Schuyler W. Huck},
Journal = {Newborn and Infant Nursing Reviews},
Pages = {44-49},
Volume = {xx},
Year = {2010},
Abstract = {Statistical tools are delicate instruments. When used properly, they help quantitative researchers illuminate relationships important to both practitioners and theorists; when used carelessly, they can bring about unjustified, distorted, and/or misleading claims. Almost every statistical tool has underlying assumptions (ie, prerequisite conditions) that supposedly govern its use. In this article, four questions concerning such assumptions are raised: What is an underlying statistical assumption? What are the consequences, if any, of violating them? Do applied researchers (and particularly those who publish articles in Newborn and Infant Nursing Reviews) pay attention to the assumptions that underlie the statistical procedures they use? What new insights into statistical assumptions have come about during the last 10 to 15 years?},
Doi = {10.1053/j.nainr.2009.12.005},
Keywords = {Statistical tools, Assumptions; Quantitative research},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{YangEtAl2002,
Title = {Stability evaluation for the siting of municipal landfills in karst},
Author = {Michael Zhiqiang Yang and Eric C. Drumm},
Journal = {Engineering Geology},
Pages = {185-195},
Volume = {65},
Year = {2002},
File = {:Engineering Geology/Yang & Drumm_Eng Geol_2002.pdf:PDF},
Keywords = {Landfills; Karst; Stability evaluation},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009},
Url = {http://linkinghub.elsevier.com/retrieve/pii/S0013795201001284}
}
@Article{Yang2007,
Title = {Consistency of cross-validation for comparing regression procedures},
Author = {Yuhong Yang},
Journal = {Annals of Statistics},
Pages = {2450-2473},
Volume = {35},
Year = {2007},
Number = {6},
Doi = {10.1214/009053607000000514},
File = {Yang2007.pdf:Yang2007.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.08.08},
Url = {http://projecteuclid.org/euclid.aos/1201012968}
}
@Article{YasrebiEtAl2008,
Title = {Spatial variability of soil fertility properties for precision agriculture in Southern Iran},
Author = {Jafar Yasrebi and Mahboud Saffari and Hamed Fathi and Najafali Karimian and Mostafa Emadi and Majid Baghernejad},
Journal = {Journal of Applied Sciences},
Pages = {1642-1650},
Volume = {8},
Year = {2008},
Abstract = {The objective of this study was to determine the degree of spatial variability of soil chemical properties, soil texture and variance structure. Spatial distributions for 13 soil chemical properties and soil texture were examined in a fallow land in Bajgah, Fars province, Iran. Soil samples were collected at approximately 60 m2 at 0-30 cm depth and coordinates of each of the 100 points were recorded with GPS. The spatial distribution and spatial dependence level varied within location. The range of spatial dependence was found to vary within soil parameters. Phosphorous had the shortest range of spatial dependence (49.50 m) and percentage of calcium carbonate equivalent had the longest (181.94 m). All parameters exhibited strongly spatially dependent. The results demonstrate that within the same field, spatial patterns vary among several soil parameters. Soil nutrients were found to be affected by farmer management. Variography and kriging can be useful tools for designing effective soil sampling strategies and variable rate application of inputs for use in site-specific farming.},
Keywords = {kriging, site-specific farming, spatial variability, soil properties, Southern Iran},
Owner = {Alessandro Samuel Rosa},
Timestamp = {11.07.2009},
Url = {http://docsdrive.com/pdfs/ansinet/jas/2008/1642-1650.pdf}
}
@Article{YatesEtAl2006,
Title = {Wavelet spectra of nitrous oxide emission from hummocky terrain during spring snowmelt},
Author = {T. T. Yates and B. C. Si and R. E. Farrell and D. J. Pennock},
Journal = {Soil Science Society of America Journal},
Pages = {1110-1120},
Volume = {70},
Year = {2006},
Number = {4},
Abstract = {Soil N2O emission data is typically highly skewed. In terrain where the spatial distribution of soil processes is controlled by topography, extreme N2O flux events can be highly localized and nonstationary. Wavelet analysis can be used to describe the spatial variation of these nonstationary processes. The objectives of this study were to use wavelet analysis to determine the spatial variation, scales of variability and their change over the snowmelt period for soil N2O flux. On a hummocky, agricultural landscape in the Dark Brown soil zone of Saskatchewan, N2O flux measurements were taken from a 128-point linear transect five times over the spring snowmelt season of 2004. Localized variance was determined using a continuous wavelet transform (Mexican Hat) and the local spectrum was compared with the distribution of fluxes along the transect and the relative elevation. Two spatial patterns of soil N2O emission were revealed. The first was a cyclic, landscape-element-controlled pattern with a scale of variation that ranged between 20 and 60 m. Changes in the spatial scale were due to a shift in importance between landscape elements as sources of peak N2O flux. The second pattern was composed of non-cyclic, localized features that were due to extreme flux events at specific landscape positions. These extreme flux events were not temporally persistent, but represent a large, non-random contribution to mean and variance on the dates they occurred. Sample strategies to capture the full range of soil N2O emission at this site would probably require separate approaches for these two spatial patterns.},
Doi = {10.2136/sssaj2005.0264},
File = {YatesEtAl2006.pdf:YatesEtAl2006.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.03.06}
}
@Article{YeomansEtAl1988,
Title = {A rapid and precise method for routine determination of organic carbon in soil},
Author = {Yeomans, J. C. and Bremner, J. M.},
Journal = {Communications in Soil Science and Plant Analysis},
Pages = {1467-1476},
Volume = {19},
Year = {1988},
Number = {13},
Abstract = {A simple method for routine determination of organic carbon in soil by a modified Mebius procedure is described. It involves (a) digestion of the soil sample with an acidified dichromate (K2Cr2O7 - H2SO4) solution for 30 minutes in a Pyrex digestion tube in a 40-tube block digester preheated to 170°C and (b) estimation of the unreacted dichromate by titration of the cooled digest with an acidified solution of ferrous ammonium sulfate with use ofN?phenylanthranilic acid as an indicator. The method is more rapid and precise than the Mebius procedure commonly used for routine analysis of soils for organic carbon, and the only equipment required for its use is equipment now commonly used for routine Kjeldahl analysis of soils for total nitrogen.},
Doi = {10.1080/00103628809368027},
Eprint = {http://www.tandfonline.com/doi/pdf/10.1080/00103628809368027},
Owner = {Alessandro Samuel-Rosa}
}
@Article{YimerEtAl2006,
Title = {Soil property variations in relation to topographic aspect and vegetation community in the south-eastern highlands of Ethiopia},
Author = {Fantaw Yimer and Stig Ledin and Abdu Abdelkadir},
Journal = {Forest Ecology and Management},
Pages = {90-99},
Volume = {232},
Year = {2006},
Abstract = {Study of soil property variations resulting from topographic aspect and vegetation changes will have implication on the proper management of marginal and environmentally sensitive areas. This study addressed the effects of topographic aspect and vegetation community types on soil physical and chemical properties in the Bale Mountains, south-eastern highlands of Ethiopia. At each strati?ed vegetation community; Schef?era? Hagenia, Hypericum?Erica?Schef?era, and Erica arborea (shrub size), and in each of the four topographic aspects, four representative soil pro?les giving a total of 3 4 4 = 48 were opened and described. Soil texture, bulk density, soil pH, plant available phosphorus, CEC, exchangeable base cations, and percent base saturations were analyzed and interpreted. Except in few cases, all considered soil properties showed signi?cant differences among vegetation communities and topographic aspects. The differences may be attributed to leaching and differences in organic matter (carbon) contents within the soil pro?les due to topographic aspect-induced microclimatic differences, re?ecting the response of vegetation communities to the conditions. Soil textural fractions, mainly silt and clay, bulk density, pH, plant available phosphorus, percent base saturation, CEC, and exchangeable base cations generally increased in the Schef?era?Hagenia vegetation community zone. Further studies might be required to fully understand and clarify the in?uence of aspect, topography and vegetation types on soil properties for site-speci?c soil resource management practices in this mountainous area.},
Doi = {10.1016/j.foreco.2006.05.055},
File = {:Forest Ecology and Management/Yimer et al_Forest Ecol Manage_2006.pdf:PDF},
Keywords = {Landscape position; Physical properties; Chemical properties; Vegetation zonation},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{YimerEtAl2006a,
Title = {Soil organic carbon and total nitrogen stocks as affected by topographic aspect and vegetation in the Bale Mountains, Ethiopia},
Author = {Fantaw Yimer and Stig Ledin and Abdu Abdelkadir},
Journal = {Geoderma},
Pages = {335-344},
Volume = {135},
Year = {2006},
Abstract = {Soil organic carbon (SOC) and total nitrogen (total N) stocks in 0?0.3 and 0.3?1.0m soil layers were estimated following the standard procedures for three vegetation communities; Schefflera-Hagenia, Hypericum-Erica-Schefflera, and Erica arborea (shrub size), at different topographic aspects (east-, west-, north- and south-facing) on the Bale Mountains in the south-eastern highlands of Ethiopia. The results showed that SOC and total N in the top 0.3m depth varied significantly among vegetation communities (p<0.001) and aspects (p=0.003). At all aspects studied, the overall mean SOC and total N amounts to a depth of 1.0m ranged from 32.67 to 46.03kg C m ? 2 and 2.89 to 3.61kg N m ? 2 among the vegetation communities. The overall mean SOC and total N stocks to a depth of 1.0m varied from 35.13 to 44.97kg C m ? 2 and 2.90 to 3.75kg N m ? 2 among aspects. Topographic aspect induced microclimatic differences and vegetation community types were found to be important factors for the significant variations in SOC and total N stocks in the Bale Mountains. About 45% of the SOC stock in the 0?1.0m layer of the mineral soil was held in the top 0.3m of the soil, indicating the potentially large amount of CO 2 that can be released from the top surface soils when these vegetations are deforested and converted into grazing and cultivation.},
Doi = {10.1016/j.geoderma.2006.01.005},
File = {:Geoderma/Yimer et al_Geoderma_2006.pdf:PDF},
Keywords = {Slope aspect; Carbon sequestration; Forest soils; Organic matter; Vegetation zonation},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{YokoyamaEtAl2002,
Title = {Visualizing topography by openness: a new application of image processing to digital elevation models},
Author = {Yokoyama, R and M Shirasawa and R J Pike},
Journal = {Photogrammetric Engineering and Remote Sensing},
Pages = {251-266},
Volume = {68},
Year = {2002},
Abstract = {A new parameter, here termed openness, expressing the degree of dominance or enclosure of a location on an irregular surface, is developed to visualize topographic character. Openness is an angular measure of the relation between surface relief and horizontal distance. For angles less than 90°, it is equivalent to the internal angle of a cone, its apex at a DEM location, constrained by neighboring elevations within a specified radial distance. Openness incorporates the terrain line-of-sight, or viewshed, concept and is calculated from multiple zenith and nadir angles-here along eight azimuths. Openness has two viewer perspectives. Positive values, expressing openness above the surface, are high for convex forms, whereas negative values describe this attribute below the surface and are high for concave forms. Openness values are mapped by gray-scale tones. The emphasis of terrain convexity and concavity in openness maps facilitates the interpretation of landforms on the Earth's surface and its seafloor, and on the planets, as well as features on any irregular surface-such as those generated by industrial procedures.},
File = {YokoyamaEtAl2002.pdf:YokoyamaEtAl2002.pdf:PDF},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.26}
}
@Article{YoudenEtAl1937,
Title = {Selection of efficient methods for soil sampling},
Author = {Youden, W. J. and Mehlich, A.},
Journal = {Contributions of the Boyce Thompson Institute for Plant Research},
Pages = {59-70},
Volume = {9},
Year = {1937},
File = {YoudenEtAl1937.pdf:YoudenEtAl1937.pdf:PDF},
Keywords = {Sampling; Design; Nested; Spatial;}
}
@Article{YoungEtAl1996,
Title = {Defining geographic soil bodies by landscape position, soil taxonomy, and cluster analysis},
Author = {F J Young and R D Hammer},
Journal = {Soil Science Society of America Journal},
Pages = {989-998},
Volume = {64},
Year = {1996},
Abstract = {The key Soil Taxonomy is based upon the idea that certain properties can be used to define populations of soils from the soil continuum. The soil mapping paradigm is that similar soil populations exist within landforms. High taxonomic variability has been reported within numerous soil mapping units. The hypotheses in this paper are that for large scale mapping (i) Soil Taxonomy creates classes that are only partially related to landform and (ii) more homogeneous soil classes exist if different defining constructs are used. The objectives are to: (i) classify a sampling of soils within a 40-ha upland pasture using both Soil Taxonomy and cluster analysis, (ii) identify the distinctness and relationships of these samples to landforms, and (iii) compare the geographic distributions of soil classes identified by Soil Taxonomy and cluster analyses. Ninety-four soil properties were measured from 257 pedons along point transects. Cluster analysis identified three pedologically and geographically distinct groups. A single cluster group was identified for soils within the ?ridge? landform, whereas the ?backslope? landform was a mixture of all three groups. A significant relationship was found for soil attributes and slope profile curvature within the backslope landform, but predictive value was low. Soil Taxonomy produced 13 geographically indistinct classes that were partially related to cluster groupings. Cluster analysis appears to be useful for revealing patterns of soil homogeneity and for identifying relationships among soil properties and landforms. Numerical analysis may be a helpful supplementary method for correlating soil surveys with large soil databases, or for defining those soil attributes which distinguish mappable bodies from the soil continuum.},
Doi = {10.2136/sssaj2000.643989x},
File = {YoungEtAl1996.pdf:YoungEtAl1996.pdf:PDF},
Keywords = {redemds},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.07.26}
}
@Article{YoungEtAl1997,
Title = {Estimation of map unit composition from transect data},
Author = {Fred J. Young and R. David Hammer and Frederick Williams},
Journal = {Soil Science Society of America Journal},
Pages = {854-861},
Volume = {61},
Year = {1997},
Abstract = {We are concerned with the documentation of taxonomic variability within soil survey map units, and how that variability is expressed statistically. Twelve randomly selected transects were used to sample soil properties and classify pedons within a fluvial map unit of the Boone County, Missouri, soil survey. Map unit taxonomic variability was high, with 28 taxonomic family classes. Twenty-five percent of the sampled soils were in the named taxonomic class of the map unit, but most were similar inclusions. Interpretive purity of the sample was 83%. Variances about this sample proportion were calculated using three methods: (i) simple random sampling, (ii) cluster sampling, and (iii) two-stage random sampling. The simple random sampling formula provided the smallest variance, compared with the cluster formula (55% larger) or the two-stage formula (72% larger). However, the interpretation of transect sampling as simple random sampling is questioned. The two-stage random sampling method seemed most conceptually correct, but is computationally intensive and requires questionable assumptions about the population size. Confidence intervals based on small sample sizes drawn from binomial populations are highly suspect, and perhaps should be referred to as ?approximate bounds?. It is important to carefully consider the assumptions and effects of any statistical technique chosen to analyze map unit composition.},
Doi = {10.2136/sssaj1997.03615995006100030020x},
File = {YoungEtAl1997.pdf:Soil Science Society of America Journal/YoungEtAl1997.pdf:PDF},
Keywords = {cluster; sampling; taxonomic; interpretative; purity; map unit; validation;},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.03}
}
@Inproceedings{Yu2002,
Title = {An overview of remedial tools for violations of parametric test assumptions in the SAS system},
Author = {Chong Ho Yu},
Booktitle = {Proceedings of 2002 Western Users of SAS Software Conference},
Pages = {172-178},
Year = {2002},
File = {Yu2002.pdf:Anais/Yu2002.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.05}
}
@Article{YuEtAl2007,
Title = {Regional patterns of soil organic carbon stocks in China},
Author = {D S Yu and X Z Shi and H J Wang and W X Sun and J M Chen and Q H Liu and Y C Zhao},
Journal = {Journal of Environmental Management},
Pages = {680-689},
Volume = {85},
Year = {2007},
Abstract = {Soil organic carbon (SOC) is of great importance in the global carbon cycle. Distribution patterns of SOC in various regions of China constitute a nation-wide baseline for studies on soil carbon changes. This paper presents an integrated and multi-level study on SOC stock patterns of China, and presents baseline SOC stock estimates by great administrative regions, river watersheds, soil type regions and ecosystem. The assignment is done by means of a recently completed 1: 1,000,000 scale soil database of China, which is the most detailed and reliable one in China at the present time. SOC densities of 7292 soil profiles collected across China in the middle of the 1980s were calculated and then linked to corresponding polygons in a digital soil map, resulting in a SOC Density Map of China on a 1: 1,000,000 scale, and a 1km1 km grid map. Corresponding maps of administrative regions, river watersheds, soil types (ST), and ecosystems in China were also prepared with an identical resolution and coordinate control points, allowing GIS analyses. Results show that soils in China cover an area of 9.281106km2 in total, with a total SOC stock of 89.14 Pg (1 Pg ? 1015 g) and a mean SOC density of 96.0 t C/ha. Confidence limits of the SOC stock and density in China are estimated as [89.23 Pg, 89.08 Pg] and [96.143 t C/ha, 95.981 t C/ha] at 95% probability, respectively. The largest total SOC stock (23.60 Pg) is found in South-west China while the highest mean SOC density (181.9 t C/ha) is found in north-east China. The total SOC stock and the mean SOC density in the Yangtze river watershed are 21.05 Pg and 120.0 t C/ha, respectively, while the corresponding figures in theYellow river watershed are 8.46 Pg and 104.3 t C/ha, respectively. The highest total SOC stocks are found in Inceptisols (34.39 Pg) with SOC density of 102.8 t C/ha. The lowest and highest mean SOC densities are found on Entisols (28.1 t C/ha), and on Histosols (994.728.1 t C/ha), repectively. Finally, the total SOC stock in shrub and forest ecosystem classes are 25.55 and 21.50 Pg, respectively; the highest mean SOC density (209.9 t C/ha) was recorded in the wetland ecosystem class and the lowest (29.0 t C/ha) in the desert ecosystem class. Among five forest ecosystem types, Evergreen conifer forest stores the highest SOC stock (6.81 Pg), and Deciduous conifer forest shows the highest SOC density (225.9 t C/ha). Figures of SOC stocks stratified by Administrative regions, river watersheds, soil types and ecosystem types presented in the study may constitute national-wide baseline for studies of SOC stock changes in various regions in the future.},
Doi = {10.1016/j.jenvman.2006.09.020},
Keywords = {Soil organic carbon stock; 1:1,000,000 Soil Database of China},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Mastersthesis{Zalamena2008,
Title = {Impacto do uso da terra nos atributos químicos e físicos de solos do {R}ebordo do {P}lanalto - {RS}},
Address = {Santa Maria},
Author = {Jovani Zalamena},
Pages = {78},
School = {Graduate School in Soil Science, Federal University of Santa Maria},
Year = {2008},
Abstract = {As mudanças na utilização das terras podem levar à degradação da qualidade química e física do solo. Nas áreas de encosta do estado do Rio Grande do Sul (RS) a vulnerabilidade à degradação das terras é elevada, devido a combinação de relevo forte ondulado a montanhoso e solos com pequena profundidade efetiva. O objetivo geral deste trabalho foi avaliar as características químicas e físicas do solo de áreas situadas no Rebordo do Planalto na região central do RS, sob diferentes usos da terra. Para isso foram selecionadas duas áreas representativas da região denominada Rebordo do Planalto, caracterizada por áreas de encosta com predomínio da agricultura familiar em pequena escala (Silveira Martins (SM) e São João do Polêsine (SJ)) e uma área de transição entre o Rebordo do Planalto e o Planalto Médio (Júlio de Castilhos (JC)). Em SM foram coletadas amostras de solo no sistema de plantio direto (PD), plantio convencional (PC), reflorestamento (RF) e mata nativa (MN). Em SJ foram coletadas amostras de solo sob os usos na mata nativa (MN), mata secundária (MS), lavoura velha (LV), lavoura nova (LN) e lavoura abandonada (LA). Em JC as amostras foram coletadas em áreas de mata nativa (MN), campo nativo (CN) e plantio direto (PD). As amostras foram coletadas na profundidade de 0-10 e 10-20 cm. Através dos resultados obtidos, observaram-se modificações nas características químicas e físicas do solo em função dos diferentes usos da terra, ao comparar com a mata nativa. Em sistemas que não recebem adições constantes de fontes externas, ocorreu uma depressão da fertilidade química. A matéria orgânica do solo teve diminuição nos teores, conforme aumentou a intensidade de uso da terra. O grupo C-O-alquil foi o grupo de carbono que apresentou a maior contribuição nos espectros de RMN 13 C, independente do sistema de uso da terra. As principais alterações físicas ocorridas em comparação com as condições naturais do solo, foram diminuições da macroporosidade, porosidade total e condutividade hidráulica saturada e aumento na densidade do solo. Os parâmetros de agregação do solo, neste trabalho, não se mostraram como bons índices de avaliação para identificar mudanças em função dos diferentes usos da terra.},
File = {:dissertação/Zalamena_Dissertação_2008.pdf:PDF},
Keywords = {Qualidade do solo; sustentabilidade das terras; degradação ambiental; espectroscopia de RMN 13 C; qualidade da matéria orgânica.},
Owner = {Alessandro},
Timestamp = {2011.01.03},
Url = {http://w3.ufsm.br/ppgcs/}
}
@Inbook{ZantaEtAl2003,
Title = {Gerenciamento integrado de resíduos sólidos urbanos},
Author = {V.M. Zanta and S.F.A. Ferreira},
Booktitle = {Resíduos sólidos urbanos: aterro sustentável para municípios de pequeno porte},
Editor = {Armando Borges},
Pages = {1-18},
Publisher = {Rio de Janeiro: ABES},
Year = {2003},
Chapter = {1},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Inbook{Zanta2006,
Title = {Resíduos sólidos, saúde e meio ambiente: impactos associados aos lixiviados de aterro sanitário},
Author = {V M Zanta},
Booktitle = {Gerenciamento de resíduos sólidos urbanos com ênfase na proteção de corpos d'água: prevenção, geração e tratamento de lixiviados de aterros sanitários},
Pages = {1-15},
Publisher = {Rio de Janeiro: ABES},
Year = {2006},
Chapter = {1},
Owner = {usuario},
Timestamp = {2012.03.03}
}
@Article{ZeileisEtAl2005,
Title = {zoo: {S}3 infrastructure for regular and irregular time series},
Author = {Achim Zeileis and Gabor Grothendieck},
Journal = {Journal of Statistical Software},
Pages = {1--27},
Volume = {14},
Year = {2005},
Number = {6},
Keywords = {point pattern analysis;},
Url = {http://www.jstatsoft.org/v14/i06/}
}
@Article{ZevenbergenEtAl1987,
Title = {Quantitative analysis of land surface topography},
Author = {Zevenbergen, Lyle W. and Thorne, Colin R.},
Journal = {Earth Surface Processes and Landforms},
Pages = {47-56},
Volume = {12},
Year = {1987},
Number = {1},
Abstract = {Land surface topography significantly affects the processes of runoff and erosion. A system which determines slope, aspect, and curvature in both the down-slope and across-slope directions is developed for an altitude matrix. Also, the upslope drainage area and maximum drainage distance are determined for every point within the altitude matrix. A FORTRAN 66 program performs the analysis.},
Doi = {10.1002/esp.3290120107},
ISSN = {1096-9837},
Keywords = {Terrain analysis, Topography, Hydrological modelling},
Publisher = {John Wiley and Sons, Ltd},
Url = {http://dx.doi.org/10.1002/esp.3290120107}
}
@Article{Zhang2006,
Title = {Using multivariate analyses and GIS to identify pollutants and their spatial patterns in urban soils in Galway, Ireland},
Author = {Chaosheng Zhang},
Journal = {Environmental Pollution},
Pages = {501-511},
Volume = {142},
Year = {2006},
Abstract = {Galway is a small but rapidly growing tourism city in western Ireland. To evaluate its environmental quality, a total of 166 surface soil sam- ples (0e10 cm depth) were collected from parks and grasslands at the density of 1 sample per 0.25 km2 at the end of 2004. All samples were analysed using ICP-AES for the near-total concentrations of 26 chemical elements. Multivariate statistics and GIS techniques were applied to classify the elements and to identify elements influenced by human activities. Cluster analysis (CA) and principal component analysis (PCA) classified the elements into two groups: the ?rst group predominantly derived from natural sources, the second being in?uenced by human activities. GIS mapping is a powerful tool in identifying the possible sources of pollutants. Relatively high concentrations of Cu, Pb and Zn were found in the city centre, old residential areas, and along major traf?c routes, showing signifficant effects of traffic pollution. The element As is enriched in soils of the old built-up areas, which can be attributed to coal and peat combustion for home heating. Such signifficant spatial patterns of pollutants displayed by urban soils may imply potential health threat to residents of the contaminated areas of the city.},
Doi = {10.1016/j.envpol.2005.10.028},
File = {:Environmental Pollution/Zhang_Environ Pollut_2006.pdf:PDF},
Keywords = {Multivariate statistics; GIS; Urban geochemistry; Traf?c pollution; Heavy metals},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{ZhangEtAl2005,
Title = {Historical change of heavy metals in urban soils of Nanjing, China during the past 20 centuries},
Author = {Gan-Lin Zhang and Feng-Gen Yang and Yu-Guo Zhao and Wen-Jun Zhao and Jin-Ling Yang and Zi-Tong Gong},
Journal = {Environment International},
Pages = {913-919},
Volume = {31},
Year = {2005},
Abstract = {Two typical areas, including once commercial and residential quarters of Nanjing, China, were studied by investigating soil properties especially heavy metals of soils in various cultural layers formed in different Chinese Dynasties. The age of the soil profiles was dated by both archaeological and 14 C chronological methods. The results showed that urban soils in the old commercial/workshop quarter of Nanjing were generally contaminated by heavy metals Cu, Zn, Pb, but their concentration levels varied significantly among the cultural layers formed in different dynasties. The substantial increase of heavy metals appeared in three historical periods, i.e., South Dynasty (222?589 AD), the earlier Ming (1368?1644AD) and the late Qing (1644?1912AD) in one area. The tremendous input and storage of heavy metals in soils was explained by the primitive smelting and the strengthened metal processing activities, which might be due to the requirement of weapon making or other industries, in the changing social conditions of the corresponding periods. Soils in the once noble political, cultural centers did not show significant increase of heavy metals. The difference in the distribution pattern of heavy metals revealed the contrasting history of the site uses. The change of contaminant level in soils is believed to be a reflection of various human activities in the city during the past 20 centuries.},
Doi = {10.1016/j.envint.2005.05.035},
File = {:Environment International/Zhang et al_Environ Int_2005.pdf:PDF},
Keywords = {Urban soils; Heavy metals; History; Cultural layers},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Article{ZhangEtAl1996,
Title = {Evaluation of WEPP runoff and soil loss predictions using natural runoff plot data},
Author = {X C Zhang and M A Nearing and L M Risse and K C McGregor},
Journal = {Transactions of the ASAE},
Pages = {855-863},
Volume = {39},
Year = {1996},
Abstract = {Model testing and evaluation are critical to the acceptance of any new prediction tool. This study was conducted to evaluate the overall performance of the Water Erosion Prediction Project (WEPP) hillslope model in predicting runoff and soil loss under cropped conditions. Natural runoff plot data, including 4,124 selected events 556 plot years, and 34 cropping scenarios, from eight locations were selected. The average length of record for the cropping scenarios was about nine years. Several common crops and tillage systems were included. The WEPP input files for soil, slope, climate, and crop management were compiled based on measured data. The coefficient of determination (r2) between model-predicted and measured-runoff volumes for optimized Green and Ampt hydraulic conductivity (Kb) was 0.77 for selected events, 0.76 for annual values, and 0.87 for average annual values; the r2 between predicted and measured soil losses (excluding fallow and corn plots at Bethany, Mo.) was 0.36, 0.60, and 0.85, respectively. Similar predictions of runoff and soil loss were also obtained with WEPP internally estimated Kb values. Runoff and soil loss were slightly overpredicted for small storms and for years with low runoff and soil loss rates, and were underpredicted for large storms and for years with high runoff and soil loss rates. However, average runoff and soil loss rates for different cropping and management systems were adequately predicted. The accuracy and reliability of the predictions were shown to improve from an event to annual to average annual basis. Results of this study show that the WEPP model is a useful tool for predicting runoff and soil loss rates under cropped conditions.},
Keywords = {runoff, soil erosion, prediction, methodology, accuracy, simulation models, precipitation, meteorological data, crop management, tillage, Water Erosion Prediction Project, United States},
Owner = {Fatec},
Timestamp = {2010.07.27},
Url = {http://ddr.nal.usda.gov/bitstream/10113/6600/1/IND20539635.pdf}
}
@Article{ZhangEtAl2004,
Title = {Carbon stock changes in successive rotations of Chinese fir (Cunninghamia lanceolata (lamb) hook) plantations},
Author = {Xiao-Quan Zhang And Miko U F Kirschbaum And Zhenhong Hou And Zhihua Guo},
Journal = {Forest Ecology and Management},
Pages = {131-147},
Volume = {202},
Year = {2004},
Abstract = {Chinese fir is an important timber species in Southern China. Millions of hectares of Chinese fir plantations have been established during the past decades, and increasing areas are re-planted as second or later rotations. Since the 1980s, scientists and forest managers have reported apparent yield decline and soil fertility degradation over successive rotations. If this yield decline is accompanied by a reduction in carbon stocks, and if it is caused by management, it has to be considered as a form of forest degradation and will become important from a carbon-accounting point of view. In this paper we have collected and compiled published data relevant to growth and soil properties over successive rotations of Chinese fir, calculated the stocks of stand biomass and soil organic carbon and nitrogen, and have analyzed the impact on carbon stocks of growing Chinese fir over successive rotations. We found that on an average, stand biomass increments were reduced by 24% from the first to the second rotation, and by a further 40% from the second to the third rotation. Soil organic carbon was reduced by 10% and 15% between the first and second, and second and third rotations, respectively. Soil carbon losses were usually accompanied by nitrogen losses but carbon losses were generally larger than nitrogen losses. The reduction of carbon stocks in successive rotations appears to be related to increases in soil bulk density and nutrient losses caused by burning of residues during site preparation. Potential afforestation/reforestation projects under the clean development mechanism (CDM) of the Kyoto Protocol may also need to consider the possible yield decline and soil degradation over successive rotations of plantations.},
Doi = {10.1016/j.foreco.2004.07.032},
File = {:Forest Ecology and Management/Zhang et al_Forest Ecol Manage_2004.pdf:PDF},
Keywords = {Chinese fir; Successive rotation; Carbon stock change; Bulk density; Kyoto Protocol},
Owner = {Alessandro Samuel Rosa},
Timestamp = {06.09.2009}
}
@Article{ZhaoEtAl2007,
Title = {Establishing a spatial grouping base for surface soil properties along urban-rural gradient - a case study in {Nanjing}, {China}},
Author = {Yu-Guo Zhao and Gan-Lin Zhang and Harald Zepp and Jin-Ling Yang},
Journal = {Catena},
Pages = {74 - 81},
Volume = {69},
Year = {2007},
Note = {Influences of rapid urbanization and industrialization on soil resource and its quality in China},
Number = {1},
Abstract = {Conventional classification systems based on vegetation and land use are frequently used to characterize or describe urban soils to determine the influence of urbanization on soils. In this study, the sensitivity of different grouping methods in reflecting soil variations along an urban-rural gradient was compared. The objective of this study was to determine the most sensitive grouping system in depicting and explaining variations of soil attributes around an urban area. Grouping methods, including urban-rural division, in situ vegetation type, land use types in different scales and numerical clustering, were compared for both single soil attributes and #soil##set# defined by multiple variables. The result shows urbanization has a strong impact on many soil properties, especially that of gravel content, sand content, pH, phosphorus and soil compaction. In terms of the variations of soil attributes, in situ vegetation type is the most sensitive in comparison with local land use types and district-viewed land use types. In other words, soil properties in this study are not sensitive to coarser spatial resolution. Therefore, it's hard to interpret the spatial variation of urban soil by regular methods using natural soil-landscape paradigm. Furthermore, vegetation would best proxy the delineation of single attribute of urban soils. Numerical clusters effectively reflect the land use types and their change during urbanization. All clusters were interpreted as different sets with practical meanings: soil in abandoned greenbelt, soil in ill-managed greenbelt, soil in new vegetable land, extreme urban conditioned soil, soil in well-managed greenbelt, soil in highly mellowed vegetable land, soil in common urban-peri-urban greenbelt and weak-urban-impacted soil. They can be used as bases for soil regionalization in urban and peri-urban environment.},
Doi = {10.1016/j.catena.2006.04.017},
File = {ZhaoEtAl2007.pdf:Catena/ZhaoEtAl2007.pdf:PDF},
ISSN = {0341-8162},
Keywords = {Urban soil; Urbanization; Land use; Vegetation; Grouping method},
Url = {http://www.sciencedirect.com/science/article/B6VCG-4K5HWSH-1/2/b9c56ea982bca4a6d1a0757e3ba90e5b}
}
@InCollection{ZhuEtAl2008,
Title = {The impact of neighbourhood size on terrain derivatives and digital soil mapping},
Author = {A Xing Zhu and Burt, James E. and Smith, Michael and Rongxun Wang and Jing Gao},
Booktitle = {Advances in digital terrain analysis},
Publisher = {Springer},
Year = {2008},
Address = {Berlin},
Editor = {Zhou, Qiming and Lees, Brian and Tang, Guoan},
Pages = {333-348},
Series = {Lecture notes in geoinformation and cartography},
Doi = {10.1007/978-3-540-77800-4_18},
File = {ZhuEtAl2008.pdf:ZhuEtAl2008.pdf:PDF},
ISBN = {978-3-540-77799-1},
Keywords = {slope gradient; DEM; SoLIM; digital soil mapping; neighbourhood size; DEM resolution; effect; PhDpaper1},
Owner = {alessandro},
Timestamp = {20.02.2014}
}
@Article{ZhuEtAl2001,
Title = {Soil mapping using {GIS}, expert knowledge, and fuzzy logic},
Author = {A. X. Zhu and B. Hudson and J. Burt and K. Lubich and D. Simonson},
Journal = {Soil Science Society of America Journal},
Pages = {1463-1474},
Volume = {65},
Year = {2001},
Keywords = {redemds},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.09}
}
@Article{ZhuEtAl1994,
Title = {A knowledge-based approach to data integration for soil mapping},
Author = {Zhu, A-Xing and Band, Lawrence E},
Journal = {Canadian Journal of Remote Sensing},
Pages = {408-418},
Volume = {20},
Year = {1994},
Number = {4},
Abstract = {Knowledge-based approach for semantic integration for soil mapping. Largely theoretical framework. Introduces Soil Similarity Vector (SSV)},
File = {ZhuEtAl1994.pdf:canadian_journal_remote_sensing/ZhuEtAl1994.pdf:PDF}
}
@Article{ZhuEtAl2010,
Title = {Construction of membership functions for predictive soil mapping under fuzzy logic},
Author = {A-Xing Zhu and Lin Yang and Baolin Li and Chengzhi Qin and Tao Pei and Baoyuan Liu},
Journal = {Geoderma},
Pages = {164-174},
Volume = {155},
Year = {2010},
Abstract = {Fuzzy membership function is an effective tool to represent relationship between soil and environment for predictive soil mapping. Usually construction of a fuzzy membership function requires knowledge on soil- landscape relationships obtained from local soil experts or from extensive field samples. For areas with no soil survey experts and no extensive soil field observations, a purposive sampling approach could provide the descriptive knowledge on the relationships. However, quantifying this descriptive knowledge in the form of fuzzy membership functions for predictive soil mapping is a challenge. This paper presents a method to construct fuzzy membership functions using descriptive knowledge. Construction of fuzzy membership functions is accomplished based on two types of knowledge: 1) knowledge on typical environmental conditions of each soil type and 2) knowledge on how each soil type corresponds to changes in environmental conditions. These two types of knowledge can be extracted from catenary sequences of soil types and the associated environment information collected at a few field samples through purposive sampling. The proposed method was tested in a watershed located in Heshan farm of Nenjiang County in Heilongjiang Province of China. A set of membership functions were constructed to represent the descriptive knowledge on soil-landscape relationships, which were derived from 22 field samples collected through a purposive sampling approach. A soil subgroup map and an A-horizon soil organic matter content map for the area were generated using these membership functions. Forty five field validation points were collected independently to evaluate the two soil maps. The soil subgroup map achieved 76% of accuracy. The A-horizon soil organic matter content map based on the derived fuzzy membership functions was compared with that derived from a multiple linear regression model. The comparison showed that the soil organic content map based on fuzzy membership functions performed better than the soil map based on the linear regression model. The proposed method could also be used to construction membership functions from descriptive knowledge obtained from other sources.},
File = {ZhuEtAl2010.pdf:Geoderma/ZhuEtAl2010.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.09},
Url = {http://dx.doi.org/10.1016/j.geoderma.2009.05.024}
}
@Article{ZhuEtAl2006,
Title = {Spatial sampling design for prediction with estimated parameters},
Author = {Zhu, Zhengyuan and Stein, Michael L.},
Journal = {Journal of Agricultural, Biological, and Environmental Statistics},
Pages = {24-44},
Volume = {11},
Year = {2006},
Month = {Mar},
Number = {1},
Doi = {10.1198/108571106x99751},
File = {ZhuEtAl2006.pdf:ZhuEtAl2006.pdf:PDF},
ISSN = {1537-2693},
Keywords = {REML; Kriging; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Springer Science + Business Media}
}
@Article{ZhuEtAl2005,
Title = {Spatial sampling design for parameter estimation of the covariance function},
Author = {Zhu, Zhengyuan and Stein, Michael L.},
Journal = {Journal of Statistical Planning and Inference},
Pages = {583–603},
Volume = {134},
Year = {2005},
Month = {Oct},
Number = {2},
Doi = {10.1016/j.jspi.2004.04.017},
File = {ZhuEtAl2005.pdf:ZhuEtAl2005.pdf:PDF},
ISSN = {0378-3758},
Keywords = {REML; Kriging; Pedometrics; DSM; Starting; Sample; Pattern;},
Owner = {alessandro},
Publisher = {Elsevier BV}
}
@Article{Zimmerman2006,
Title = {Optimal network design for spatial prediction, covariance parameter estimation, and empirical prediction},
Author = {Zimmerman, Dale L.},
Journal = {Environmetrics},
Pages = {635-652},
Volume = {17},
Year = {2006},
Number = {6},
Doi = {10.1002/env.769},
File = {Zimmerman2006.pdf:Zimmerman2006.pdf:PDF},
ISSN = {1099-095X},
Keywords = {Spatial; Sampling; Design; Optimization; Pedometrics; DSM;},
Owner = {alessandro},
Publisher = {Wiley-Blackwell}
}
@Article{Zimmerman2003,
Title = {A warning about the large-sample wilcoxon-mann-whitney test},
Author = {Zimmerman, Donald W.},
Journal = {Understanding Statistics},
Pages = {267-280},
Volume = {2},
Year = {2003},
Abstract = {U is known that the Wilcoxon-Mann-Whitney test is strongly influenced by unequal variances of treatment groups combined with unequal sample sizes. This simulation study indicates that, for various continuous and discrete distributions, the discrepancy between the empirical Type I en-or tale and the nominal significance level is large even when sample sizes arc equal. In some cases, it exceeds the similar discrepancy characteristic of the Student t test. Furthermore. Cur some distributions, the discrepancy becomes increasingly more extreme as sample sizes increase. When sample sizes are relatively large, so that the normal-approximation form of the Wilcoxon-Mann-Whitney statistic is appropriate, minor and usually undetected differences in variability of treatment groups can substantially inflate the Type I error rate. For several distributions, including some that occur frequently in psychological research, ratios of population standard deviations as small as I .1 or 1.2 have sizeable effects.},
Keywords = {homogeneity of variance, large-sample normal approximation, Student i test, Type I error, Wilcoxon-Mann-Whitney test},
Owner = {Administrador},
Timestamp = {2011.01.04},
Url = {http://link.periodicos.capes.gov.br/sfxlcl3?url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&ctx_enc=info:ofi/enc:UTF-8&ctx_ver=Z39.88-2004&rfr_id=info:sid/sfxit.com:azlist&sfx.ignore_date_threshold=1&rft.object_id=111014393768028&rft.object_portfolio_id=&svc.fulltext=yes}
}
@Article{ZoebischEtAl1996,
Title = {The accuracy of manual runoff and sediment sampling from erosion plots},
Author = {Zöbisch, M. A. and Klingspor, P. and Oduor, A. R.},
Journal = {Journal of Soil and Water Conservation},
Pages = {231-233},
Volume = {51},
Year = {1996},
Number = {3},
Abstract = {Evaluating the effects of different soil and crop management practices on soil loss is largely based on soil erosion plot experiments. However, most soil erosion plots in developing countries are simple, low-cost installations. Runoff and soil loss are sampled manually, and their accuracy depends on the sampling procedures adopted and the diligence of the field staff. A laboratory in Kenya compared the manual sampling accuracy of field staff in charge of erosion plots at the Steep Lands Research Station of the University of Nairobi. The runoff volume was generally slightly under-estimated, but sampling accuracy was acceptable for manual sampling; the mean square error was 5.6%, with a range of 3.6-6.7%. Marked differences between the performances of the field staff were not observed. However, the accuracy of soil loss measurements varied significantly. The mean square sampling errors ranged from 4.7 to 83.0%, with an average of 41.3%, unacceptably poor accuracy. Only two of the five field staff participating in the tests produced acceptable results. To ensure adequate sampling performance, appropriate sampling methods should be designed, training of field staff in sampling techniques should be provided, and regular performance testing should be implemented.},
Eprint = {http://www.jswconline.org/content/51/3/231.full.pdf+html},
Url = {http://www.jswconline.org/content/51/3/231.abstract}
}
@Article{ZornozaEtAl2007,
Title = {Evaluation of soil quality using multiple lineal regression based on physical, chemical and biochemical properties},
Author = {Raúl Zornoza and Jorge Mataix-Solera and César Guerrero and Victoria Arcenegui and Fuensanta García-Orenes and Jorge Mataix-Beneyto and Alicia Morugán},
Journal = {Science of the Total Environment},
Pages = {233-237},
Volume = {378},
Year = {2007},
Abstract = {The aim of this work is to obtain an expression using multiple lineal regressions (MLR) to evaluate environmental soil quality. We used four forest soils from Alicante province (SE Spain), comprising three Mollisols and one Entisol, developed under natural vegetation with minimum human disturbance, considered as reference soils of high quality. We carried out MLR integrating different soil physical, chemical and biochemical properties, and we searched those regressions with Kjeldahl nitrogen (N k ), soil organic carbon (SOC) or microbial biomass carbon (MBC) as predicted parameter. We observed that Mollisols and Entisols presented different relationships among their properties. Thus, we searched different equations for both groups of soils. The selected equation for Mollisols was N ? 0:448 ð P Þ þ 0:017 ð water holding capacity Þ þ 0:410 ð phosphatase Þ 0:567 ð urease Þ þ 0:001 ð MBC Þ þ 0:410 ð b glucosidase Þ 0:980; and for the Entisol SOC ? 4:247 ð P Þ þ 8:183 ð b glucosidase Þ 7:949 ð urease Þ þ 17:333: Equations were applied to samples from two forest soils in advanced degree of degradation, one for Mollisols and the other one for the Entisol. We observed a clear deviation in the predicted parameters values related to the real properties. The obtained results show that MLR is a good tool for soil quality evaluation, because it seems to be capable of reflecting the balance among its properties, as well as deviations from it.},
Doi = {10.1016/j.scitotenv.2007.01.052},
Keywords = {Soil quality; Degradation; Soil functioning; Multiple lineal regression; Mediterranean soils},
Owner = {Administrador},
Timestamp = {2010.12.30}
}
@Mastersthesis{Zuliani2003,
Title = {Balanço geoquímico de plantações de eucalipto e caracterização de águas superficiais próximas a depósito de lixo: estudo de caso},
Author = {D Q Zuliani},
Pages = {107},
School = {Universidade Federal de Lavras},
Year = {2003},
Owner = {Alessandro Samuel Rosa},
Timestamp = {25.07.2009}
}
@Book{ArrouaysEtAl2014,
Title = {Global{S}oil{M}ap: basis of the global spatial soil information system},
Address = {London},
Editor = {Dominique Arrouays and Neil McKenzie and Jon Hempel and Anne Richer de Forges and Alex B. McBratney},
Pages = {494},
Publisher = {CRC Press},
Year = {2014},
ISBN = {1138001198},
Owner = {alessandro}
}
@Book{BechtelEtAl2002,
Title = {Handbook of environmental psychology},
Address = {New York},
Editor = {Bechtel, Robert B and Churchman, Arza},
Publisher = {Wiley},
Year = {2002},
File = {BechtelEtAl2002.pdf:BechtelEtAl2002.pdf:PDF},
Owner = {alessandro},
Timestamp = {17.10.2013}
}
@Book{BoettingerEtAl2010,
Title = {Digital soil mapping: bridging research, environmental application, and operation},
Address = {Netherlands},
Editor = {Janis L. Boettinger and David W. Howell and Amanda C. Moore and Alfred E. Hartemink and Suzann Kienast-Brown},
Pages = {473},
Publisher = {Springer},
Year = {2010},
Doi = {10.1007/978-90-481-8863-5},
File = {BoettingerEtAl2010.pdf:BoettingerEtAl2010.pdf:PDF},
ISBN = {978-90-481-8862-8},
Owner = {alessandro},
Timestamp = {20.02.2014}
}
@Book{GelfandEtAl2010,
Title = {Handbook of spatial statistics},
Address = {Boca Raton},
Editor = {Alan E. Gelfand and Peter I. Diggle and Montserrat Fuentes and Peter Guttorp},
Pages = {607},
Publisher = {CRC Press},
Year = {2010},
File = {GelfandEtAl2010.pdf:GelfandEtAl2010.pdf:PDF},
Keywords = {ppp; point pattern analysis;},
Owner = {alessandro},
Timestamp = {11.10.2013}
}
@Book{HarteminkEtAl2008a,
Title = {Digital soil mapping with limited data},
Editor = {Alfred E Hartemink and Alex B McBratney and Maria Lourdes Mendonça-Santos},
Pages = {445},
Publisher = {Springer},
Year = {2008},
Abstract = {There has been considerable expansion in the use of digital soil mapping technologies and development of methodologies that improve digital soil mapping at all scales and levels of resolution. These developments have occurred in all parts of the world in the past few years and also in countries where it was previously absent. There is almost always a shortage of data in soil research and its applications and this may lead to unsupported statements, poor statistics, misrepresentations and ultimately bad resource management. In digital soil mapping, maximum use is made of sparse data and this book contains useful examples of how this can be done. This book focuses on digital soil mapping methodologies and applications for areas where data are limited, and has the following sections (i) introductory papers, (ii) dealing with limited spatial data infrastructures, (iii) methodology development, and (iv) examples of digital soil mapping in various parts of the globe (including USA, Brazil, UK, France, Czech Republic, Honduras, Kenya, Australia). The final chapter summarises priorities for digital soil mapping.},
Doi = {10.1007/978-1-4020-8592-5},
File = {HarteminkEtAl2008a.pdf:Book/HarteminkEtAl2008a.pdf:PDF},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.03.13}
}
@Book{HenglEtAl2008,
Title = {Geomorphometry: concepts, software, applications},
Address = {Amsterdam},
Editor = {Tomislav Hengl and Hannes I. Reuter},
Pages = {772},
Publisher = {Elsevier},
Year = {2008},
Series = {Developments in Soil Science},
Volume = {33},
ISBN = {0123743451},
Owner = {alessandro},
Url = {http://store.elsevier.com/product.jsp?isbn=9780123743459}
}
@Book{MantessoEtAl2005,
Title = {Geologia do continente sul-americano - evolução da obra de Fernando Flávio Marques de Almeida},
Editor = {Mantesso Neto, Virginio and Andréa Bartorelli and Celso Dal Ré Carneiro and Neves, Benjamin Bley Brito},
Pages = {673},
Publisher = {São Paulo, Brasil: Beca},
Year = {2005},
File = {MantessoEtAl2005.pdf:MantessoEtAl2005.pdf:PDF},
Keywords = {geologia},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2012.06.26}
}
@Book{Reichert2007,
Title = {Fundamentos da ciência do solo},
Address = {Santa Maria},
Editor = {José Miguel Reichert},
Pages = {169},
Publisher = {Federal University of Santa Maria},
Year = {2007},
Owner = {lgcs-mds},
Timestamp = {2013.05.08},
Url = {http://www.fisicadosolo.ccr.ufsm.quoos.com.br/downloads/Disciplinas/FundCiSolo/}
}
@Proceedings{Singh1990,
Title = {Proceedings of the International Symposium on Natural Resources Management for a Sustainable Agriculture},
Year = {1990},
Editor = {R.P. Singh},
File = {Singh1990.pdf:Anais/Singh1990.pdf:PDF},
Institution = {Indian Society of Agronomy},
Keywords = {Minimum decision area},
Location = {New Delhi},
Owner = {Alessandro Samuel-Rosa},
Timestamp = {2012.04.02}
}
@Article{Wegmann2005,
Title = {GRASS-News},
Year = {2005},
Editor = {Martin Wegmann},
File = {Wegmann2005.pdf:Wegmann2005.pdf:PDF},
Keywords = {GRASS; R; Integration;},
Owner = {Alessandro Samuel Rosa},
Timestamp = {2013.04.04}
}
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1989\;PressEtAl1992\;Rencher1998\;Rencher2002\;RusselEtAl2010\;Webster
EtAl2007\;deGruijterEtAl2006\;;
1 ExplicitGroup:Pareto optimization\;0\;GrodzevichEtAl2006\;MarlerEtAl
2004\;MarlerEtAl2005\;MarlerEtAl2009\;NgatchouEtAl2005\;;
1 ExplicitGroup:Philosophy\;0\;Feyerabend1977\;Kuhn2011\;Magee1974\;Mo
rin1986\;Popper1959\;Russell1932\;Wittgenstein1999\;vanFraassen1980\;;
}
@comment{jabref-entrytype: Monograph: req[address;author;school;title;url;year] opt[]}
