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\textbf{Importance of environmental factors}  The analysis of variable importance at the continental scale performed with Random Forest (93.61 explained deviance) showed that minimum winter temperature (64.48 \% increment in mean squared error), annual rainfall (60.10 \%IncMSE) and slope (59.23 \%IncMSE) were the factors shaping habitat suitability at the continental scale. The temperature of the warmest month showed an intermediate importance (45.19 \%IncMSE), while summer rainfall (27.66 \%IncMSE) and topographic diversity (25.00 \%IncMSE) were the least important variables. The response curves of the most important predictors (Fig. 5) showed that the optimum habitat suitability values happened when the temperature of the coldest month was higher than 5 Cº), the annual rainfall was between 700 and 1200 mm, and the topographic slope was between 3 and 7 degrees. The recursive partition