Skip to main content

Table 1 Results of multiple regression analyses of distance matrices with divergence in colour morph frequencies (colour) as the dependent variable and showing partial correlation coefficients (r partial) of each predictor variable included in each model (1–8): pairwise FST, geographic distance (distance), mean annual aridity index (aridity), topographic relief (topography), proportion cover of vegetation <1 m in height (vegetation), and proportion cover of rock >50 cm in diameter (rock). AICC, ΔAICC and normalised AICC weights were calculated based on the number of variables in the model (k) and the proportion of variance explained by the model (R2). Only models with ΔAICC within five units of the best possible model are shown and the relative importance of variables (RIV) was determined from this subset of models

From: Environment, but not genetic divergence, influences geographic variation in colour morph frequencies in a lizard

  FST distance aridity topography vegetation rock K R2 AICC ΔAICC AICC weight
RIV 0.106 0.103 0.897 0.172 0.890 0.174      
model            
1    0.640   0.211   3 45.46 146.53 0 0.412
2    0.639   0.211 0.109 4 46.51 148.72 2.19 0.137
3    0.640 −0.099 0.211   4 46.43 148.76 2.23 0.135
4 −0.014   0.640   0.215   4 45.51 149.24 2.71 0.106
5    0.568     2 32.26 150.07 3.55 0.070
6   0.543    0.284   3 37.59 150.30 3.77 0.062
7   0.543      2 29.52 151.19 4.66 0.040
8    0.639 −0.082 0.211 0.109 5 47.18 151.35 4.82 0.037