Effective conservation capable of mitigating global biodiversity declines require thorough
knowledge on species distributions and their drivers. A species ecological niche determines …

Species occurrences inherently include positional error. Such error can be problematic for
species distribution models (SDMs), especially those based on fine‐resolution …

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 …

Ecological niche modeling (ENM) is a broadly used tool in different fields of plant ecology.
Despite the importance of edaphic conditions in determining the niche of terrestrial plant …

Aim Statistical species distribution models (SDMs) are the most common tool to predict the
impact of climate change on biodiversity. They can be tuned to fit relationships at various …

Improving models of species' distributions is essential for conservation, especially in light of
global change. Species distribution models (SDMs) often rely on mean environmental …

Abstract Aim Species distribution models (SDMs) are widely used predictive tools to forecast
potential biological invasions. However, the reliability of SDMs extrapolated to exotic ranges …

Species distribution models (SDMs) rely on species presence/absence or abundance data
and environmental variables to estimate species response curves. Therefore, the quality …

Although the importance of edaphic factors and habitat structure for plant growth and
survival is known, both are often neglected in favor of climatic drivers when investigating the …

Context Recent research suggests that novel geodiversity data on landforms, hydrology and
surface materials can improve biodiversity models at the landscape scale by quantifying …