This paper presents a species distribution model (SDM) to quantify relationships between environmental variables and habitat suitability using unbalanced presence-absence data common in ecology. The proposed model applies a stratified sample balancing scheme for the random forest classifier where every classification tree receives a balanced sample of presence and absence. The model is applied to the Australian coast's seagras...

Aim Current interest in forecasting changes to species ranges has resulted in a multitude of approaches to species distribution models ( SDMs ). However, most approaches include only a small subset of the available information, and many ignore smaller‐scale processes such as growth, fecundity and dispersal. Furthermore, different approaches often produce divergent predictions with no simple method to reconcile them. Here, we p...