deletions | additions       diff --git a/results.tex b/results.tex  index b833523..6b50138 100644  --- a/results.tex  +++ b/results.tex 
...
\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 (Fig. 5)  showed a clear an  increment of in  habitat suitability beyond 500 mm of annual rainfall (bio12) and at  minimum winter temperatures higher than -10 Cº (see response curves at Appendix). Topographical slope Cº,  andmaximum summer temperature (bio5) were the factors with a  higher contribution to model uncertainty (standard deviation than 500 mm  of the ensemble) at the continental scale. Topographic slopes beyond 10 degrees combined with annual  rainfall values beyond 1500 milimeters leaded to the higher uncertainty values (see Appendix). (bio12). Topographic slope showed an optimum between 3 and 7 degrees.