Species distribution models (SDMs) are numerical tools that combine observations of
species occurrence or abundance with environmental estimates. They are used to gain …

This paper addresses a number of issues related to current and future climatic change and
its impacts on mountain environments and economies, focusing on theMountain Regions' …

Understanding how species respond to climate change is critical for forecasting the future
dynamics and distribution of pests, diseases and biological diversity,,. Although ecologists …

Species distribution models (SDM s) have become a standard tool in ecology and applied
conservation biology. Modelling rare and threatened species is particularly important for …

With the rise of new powerful statistical techniques and GIS tools, the development of
predictive habitat distribution models has rapidly increased in ecology. Such models are …

The spatial assessment of soil functions requires maps of basic soil properties.
Unfortunately, these are either missing for many regions or are not available at the desired …

Abstract Aim We aim to:(1) explore thermal habitat preferences in alpine plant species
across mosaics of topographically controlled micro‐habitats;(2) test the predictive value of …

An important statistical development of the last 30 years has been the advance in regression
analysis provided by generalized linear models (GLMs) and generalized additive models …

Models predicting species spatial distribution are increasingly applied to wildlife
management issues, emphasising the need for reliable methods to evaluate the accuracy of …

Summary 1 Models for predicting the distribution of organisms from environmental data are
widespread in ecology and conservation biology. Their performance is invariably evaluated …