Evaluation metrics to evaluate the efficiency of the participating distribution models for Himalayan ibex in the study landscape.

Participating models are BRT (Boosted Regression Tree), GLM (Generalized Linear Model), MARS (Multivariate adaptive regression splines), MAXENT (Maximum Entropy Model), RF (Random Forest) and the efficiency of the models evaluated by AUC (area under the receiver operator curve), PCC (Proportion Correctly Classified), sensitivity, specificity, Cohen’s kappa and TSS (True Skill Statistic). CV mean (Cross Validation) data used for model evaluation and train split used for the model, which was assessed by model evaluation. Three data type used for SDM are, LISS IV derived LCLU used for this model building, Sentinel 2A derived LCLU used for this model building and Integrated image derived LCLU used for this model building.