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. 2011 Jun 20;6(6):e20957. doi: 10.1371/journal.pone.0020957

Table 3. Rotated component matrix of Principal Component Analysis.

Bioclimatic variables Components
1 2 3
Bio01 Annual Mean Temperature 0.967 0.212 −0.042
Bio02 Mean Diurnal Range (Mean of monthly (max temp - min temp)) 0.403 −0.214 −0.379
Bio03 Isothermality (BIO2/BIO7) (* 100) 0.805 0.335 0.183
Bio04 Temperature Seasonality (standard deviation *100) −0.843 −0.252 −0.267
Bio05 Max Temperature of Warmest Month 0.856 0.074 −0.287
Bio06 Min Temperature of Coldest Month 0.952 0.242 0.112
Bio07 Temperature Annual Range (BIO5-BIO6) −0.773 −0.298 −0.365
Bio08 Mean Temperature of Wettest Quarter 0.764 0.328 −0.287
Bio09 Mean Temperature of Driest Quarter 0.958 0.11 0.095
Bio10 Mean Temperature of Warmest Quarter 0.892 0.148 −0.21
Bio11 Mean Temperature of Coldest Quarter 0.967 0.231 0.054
Bio12 Annual Precipitation 0.3 0.798 0.502
Bio13 Precipitation of Wettest Month 0.342 0.896 0.166
Bio14 Precipitation of Driest Month 0.095 0.382 0.82
Bio15 Precipitation Seasonality (Coefficient of Variation) 0.285 0.068 −0.745
Bio16 Precipitation of Wettest Quarter 0.332 0.894 0.205
Bio17 Precipitation of Driest Quarter 0.106 0.403 0.825
Bio18 Precipitation of Warmest Quarter 0.119 0.86 0.234
Bio19 Precipitation of Coldest Quarter 0.237 0.438 0.671

Varimax rotation method with Kaiser normalization. The components are scaled between 0–1; the closer the values to one, the more variance they explain. Values between 0.7–0.79, 0.8–0.89.