When modelling species distribution, there is most of the time an uncertainty of what is actually modelled :
What can be evaluated is how much the modelisation results are consistent with what is known and observed, and how much variability is present in the results in function of modelling choices.
Single and ensemble models can be evaluated by several available
evaluation metrics, and the importance of variables can be calculated
through several repetitions (see
var.import parameters in
Variability in evaluation and importance values can come from the parametrisation of different elements of the modelling :
Making projections, either for single or ensemble models, can produce two additional sources of variability in results that can be explored through two parameters :