Table 2. Model performance for different statistical models.

Prevalence	AUC	Sensitivity	Specificity
GAM	0.945±0.021	0.946±0.036	0.864±0.044
GLM	0.822±0.033	0.825±0.072	0.820±0.075
BRT	0.933±0.023	0.934±0.046	0.816±0.077
CART	0.900±0.031	0.892±0.040	0.862±0.044
BIOCLIM	0.869±0.034	0.834±0.077	0.787±0.056
DOMAIN	0.847±0.031	0.825±0.062	0.728±0.078
MAHAL	0.854±0.028	0.824±0.056	0.746±0.037
MAXENT	0.952±0.006	0.942±0.024	0.865±0.015
Median	0.956±0.003	0.956±0.001	0.849±0.001

When the model allows changing species prevalence (i.e. GAM, GLM, BRT, CART), a prevalence of 50% was used in model weights. Performance is shown in terms of classification rate (AUC, sensitivity and specificity). Sensitivity and specificity correspond to those calculated using the MST threshold; the validation set used here represents 20% of the data (the other 80% was used to calibrate the models).