Multiple regression on distance matrices (MRM) and maximum likelihood population effects (MLPE) results showing the relationship between pairwise genetic distance (linearized <i>D</i><sub>est</sub>) and resistance distances incorporating landscape heterogeneity.
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Candidate models tested were based on a priori hypotheses. For clarity, only models with relatively high support based on ΔAICc and wi are shown (i.e. confidence set of candidate models; [74]). Optimal cost values used to parameterize resistance surfaces prior to calculating resistance distances were selected based on Mantel r correlation coefficients. VIF = Variance Inflation Factor. PRE represents P-value for population effect.
创建时间：
2013-02-25
