Abstract Species Distribution Modelling (SDM) techniques were originally developed in the
mid-1980s. In this century they are gaining increasing attention in the literature and in …

This paper examines progress made with species distribution modelling (SDM) for trees
under climate change. Following brief background information, the main focus is on …

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

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

Aim Forecasting changes in species distribution under future scenarios is one of the most
prolific areas of application for species distribution models (SDMs). However, no consensus …

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) …

Predictions from species distribution models (SDMs) are commonly used in support of
environmental decision-making to explore potential impacts of climate change on …

Statistical species distribution models (SDMs) are widely used to predict the potential
changes in species distributions under climate change scenarios. We suggest that we need …

Predictive species distribution modelling (SDM) has become an essential tool in biodiversity
conservation and management. The choice of grain size (resolution) of environmental layers …

Species range and climate change risk are often assessed using species distribution
models (SDM) that model species niche from presence points and environmental variables …