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. 2016 Aug 14;6(17):6332–6344. doi: 10.1002/ece3.2351

Table 4.

Correlations of genetic (PCOA scores) and environmental/geographical variables with their canonical variables

I II III
Genetic
PCOA1 0.948 −0.080 0.167
PCOA2 0.240 0.223 −0.876
PCOA3 0.095 0.814 0.289
PCOA4 −0.086 0.477 −0.075
PCOA5 0.111 −0.106 0.123
PCOA6 −0.035 0.022 0.088
PCOA7 −0.036 −0.064 0.084
PCOA8 0.066 0.016 0.134
PCOA9 −0.028 0.121 0.137
PCOA10 0.013 0.066 0.181
PCOA11 −0.031 0.123 −0.066
PCOA12 0.028 −0.013 −0.078
PCOA13 −0.009 0.056 0.007
PCOA14 0.070 0.024 0.064
PCOA15 0.031 0.003 −0.029
Environmental/Geographical
LONG −0.867 −0.406 0.102
LAT 0.378 −0.770 0.412
SLOPE −0.107 0.207 −0.007
ALT 0.214 −0.130 −0.356
MDR 0.747 0.154 0.165
MTW −0.020 0.547 −0.115
AP −0.842 0.334 −0.040
PWM −0.208 0.841 0.319
MDR2 0.750 0.116 0.141
MTW2 −0.002 0.489 −0.212
AP2 −0.770 0.223 −0.112
PWM2 −0.196 0.844 0.319
MDR*MTW 0.211 0.591 −0.064
MDR*AP −0.706 0.587 −0.128
MDR*PWM 0.593 0.491 0.298
MTW*AP −0.474 0.582 −0.015
MTW*PWM −0.036 0.632 −0.051
AP*PWM −0.778 0.441 0.009

MDR, mean diurnal temperature range; MTW, mean temperature of the wettest quarter; AP, annual precipitation; PWM, precipitation of wettest month; LONG, longitude; LAT, latitude; SLOPE, the maximum change in the elevations between each cell and its eight neighbors; ALT, altitude in meters.

Shown are correlations of the 15 genetic variables (PCOA1‐PCOA15) with the scores from their first three canonical variables, and correlations of 18 environmental/geographical variables with the scores from their first three canonical variables. Several of the highest correlations of the environmental/geographical variables with their canonical variables are shown in bold for emphasis.