The relative contribution of edaphic, topography, DBH and
spatial to methylation rate
Variation-partitioning is a method using tables of various variables. By
adjusting the coefficient of determination, partitioning provides an
unbiased estimate in both multiple regression and canonical redundancy
analysis on the variation of methylation level data table that is
explained by the various tables of explanatory variables. In here, the
multivariate variation-partitioning approach was conducted by using the
R package “varpart” to quantify the relative contributions of
microhabitat, individual life stage and spatial attributes, as well as
their potential intersections, to the variation of methylation rate.
Before the variation partitioning analysis, the variables most
significantly influential to methylation level were chosen by
permutational forward model selection by using the method developed
previously (Chen et al ., 2016) with the R package “packfor”.