Principal component analysis revealed four PCs with eigenvalues >1. PC1 was predominantly composed of temperature and precipitation‐related variables (Bio1: Annual Mean Temperature, Bio6: Minimum Temperature of the Coldest Month, Bio9: Mean Temperature of the Driest Quarter, Bio11: Mean Temperature of the Coldest Quarter, Bio13: Precipitation of Wettest Month, and Bio16: Precipitation of Wettest Quarter). PC2 was most strongly correlated with Bio14: Precipitation of the Driest Month and Bio18: Precipitation of the Warmest Quarter, while PC3 was driven by Bio2: Mean Diurnal Temperature Range, Bio4: Temperature Seasonality, and Bio7: Temperature Annual Range. PC4 represented mainly ‘Precipitation Seasonality’ (Bio15). For all factor loadings, see Supplementary Material S4.