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).