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\textbf{Fig 7: Classification of target regions based on the importanceof predictors  (local R-squared R-squared)  of the given predictor)}. Slope, average predictors}. Average  temperature of the warmest month (bio5)  and precipitation of the warmest quarter topographic diversity (topo_diversity)  where the most important variables to group localities. localities together.  Example of interpretation: the moderately high low  habitat suitability values present in Southern Italy (ID=35) are shaped of the South-eastern coast of the Iberian Peninsula (ID=27) is driven  by slope (local R-squared > 0.38) and precipitation an increased importance of temperatures  of the warmest quarter month  (local R-squared > 0.15). higher than 0.37), so we can interpret the site as too warm.