Species distribution models (SDMs) are widely used to predict the occurrence of species.
Because SDMs generally use presence‐only data, validation of the predicted distribution …

Species distribution modelling (SDM) is an important tool for ecologists, but different
algorithms and different sampling strategies produce different results. Using virtual species …

Species distribution models are used for a range of ecological and evolutionary questions,
but often are constructed from few and/or biased species occurrence records. Recent work …

Most high‐performing species distribution modelling techniques require both presences,
and either absences or pseudo‐absences or background points. In this paper, we explore …

Species distribution models (SDM s) are used to inform a range of ecological,
biogeographical and conservation applications. However, users often underestimate the …

Species distribution models (SDMs) are widely used to predict and study distributions of
species. Many different modeling methods and associated algorithms are used and continue …

Species distribution models (SDMs) are widely used in ecology. In theory, SDMs capture (at
least part of) species' ecological niches and can be used to make inferences about the …

Prevalence (the presence/absence ratio in the training data) is commonly thought to
influence the reliability of the predictions of species distribution models. However, little is …

Species distribution models (SDMs) are empirical models relating species occurrence to
environmental variables based on statistical or other response surfaces. Species distribution …

Species distribution models should provide conservation practioners with estimates of the
spatial distributions of species requiring attention. These species are often rare and have …