Model Evaluation
The Area under the receiver operating characteristic curve (AUC) was used to assess the models’ predictive performance of the models ( Hanley and McNeil, 1982) and the True Skill Statistic (TSS; . The sensitivity, or the percentage of known presences predicted as presences, is plotted on the ROC curve against specificity, or the percentage of pseudo-absences predicted as absences. These validation techniques are well-known and perform very well . Models with an AUC of less than 0.7 were disqualified. It has been demonstrated that weighing the individual model projections according to their AUC scores is a particularly trustworthy technique . Additionally, the ensemble model’s relative importance of the variables was calculated from the ‘biomod2 ’ package devoted functionality . The ensemble models’ projections from the two-stage sampling mentioned above were averaged to produce the final potential distribution. To evaluate the spatiotemporal habitat dynamics, the ensemble models were projected at roughly 1 km resolution.