Bayesian Additive Regression Trees (BART) are a powerful machine learning technique with very promising applications in ecology and biogeography in general, and in species distribution modelling (SDM) in particular. BART can produce highly accurate predictions without overfitting to noise or to particular cases in the data. Notably, unlike most SDM methods, BART generally shows [...]