Model evaluation of ENMs
We use ENMeval R package to facilitate increased strictness in the development of Maxent models (Muscarella et al. 2014). The Akaike Information Criterion corrected (AICc) for small sample sizes reflects both model goodness-of-fit and complexity. The model with the lowest △AICc value (i.e. △AICc = AICc - AICmin = 0) is considered the best model out of the current suite of models. We explored models with regularization multiplier (RM) values ranging from 0.5 to 4.0 (increments of 0.5) and with six different feature classes (FCs) combinations as suggested by Muscarella et al. (2014).