blasbenito edited discussion.tex  almost 9 years ago

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In this paper we present the first model of Neanderthals potential distribution across Europe during the Last Interglacial (Eemian, MIS 5e, ~130 ka BP). We have applied a robust state-of-the-art modeling approach to take advantage of a sparse set of archaeological records and a palaeoclimatic simulation to produce the model. We analyzed the model using regression-tree based statistical methods to assess how environmental variables shaped habitat suitability at continental and local scales, and assessed to what extent our preliminary hypothesis on the abiotic drivers of Neanderthals distribution matched the results of the model.  How \textbf{How  is this paper related to other papers? papers?}  \cite{Krause_2007} neanderthals in asia and siberia  Check the results of this paper!: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0003972  \textbf{How do the model results fit the hypothesis presented in the introduction?}  How do \textbf{Given our conclusions, what is our new understanding of  the model results fit distribution of Neanderthals and  the hypothesis presented in the introduction? abiotic factors shaping it?}  \textbf{What would be the next step in this research?}  Given our conclusions, what is our new understanding of the distribution of Neanderthals and the abiotic factors shaping it?  What would be the next step in this research?  \textbf{Habitat connectivity.}  According to \cite{Andel}, the Alps and the Carpathian mountains were rarely crossed even during the warmest phases of the Weischselian.  \cite{Harvati} and \cite{JimĂ©nez-Espejo2007836} interpret that Neanderthals presence in Central Europe was probably sporadic, and very likely concentrated in a few small areas.  Habitat connectivity.  Important variables.  \cite{Krause_2007} neanderthals in asia and siberia  Check the results of this paper!: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0003972  Discuss node 7 in the recursive partition model based on R-squared.