Aim The extent of the study area (geographical background, GB) can strongly affect the
results of species distribution models (SDMs), but as yet we lack objective and practicable …

Aim Stacked species distribution models (SDMs) are an important step towards estimating
species richness, but frequently overpredict this metric and therefore erroneously predict …

Species distribution models (SDMs) are an important tool in biogeography and ecology and
are widely used for both fundamental and applied research purposes. SDMs require …

Species distribution models (SDMs) are increasingly being used to address a diverse range
of applied and theoretical questions (Guisan and Thuiller 2005, Jeschke and Strayer 2008) …

Species distribution modelling (SDM) associates georeferenced observations of a biotic
response variable–typically species occurrence or abundance–with multiple environmental …

Species distribution models (SDM) are widely used as indicators of different aspects of
geographical ranges for many purposes, from conservation to biogeographical and …

Aim Species distribution models (SDM) can be used to predict the location of unknown
populations from known species occurrences. It follows that how the data used to calibrate …

Aim Conventional species distribution models (SDMs) usually focus on the species level but
disregard intraspecific variability. Phylogeographic structure and evolutionary significant …

We explored the effects of prevalence, latitudinal range and clumping (spatial
autocorrelation) of species distribution patterns on the predictive accuracy of eight state-of …

Aim To test statistical models used to predict species distributions under different shapes of
occurrence–environment relationship. We addressed three questions:(1) Is there a statistical …