In an era marked by increasing anthropogenic pressure, understanding the relations
between human activities and wildlife is crucial for understanding ecological patterns …

Species distribution models (SDMs) are numerical tools that combine species
occurrence/density or species richness with environmental data in order to predict particular …

Abstract Aim Species distribution models (SDMs) are currently the most widely used tools in
ecology for evaluating the suitability of environments for biodiversity in the face of future …

Aim A major source of uncertainty in the application of species distribution models (SDMs) is
related to input data quality. Citizen‐collected species occurrence data are often used for …

Species distribution models (SDMs) are increasingly used to forecast impacts of climate
change on species geographic distributions, but the reliability of predictions is scrutinized …

Aims In human‐dominated ecosystems, the presence of a given species is the result of both
the ecological suitability of the site and human impacts such as land‐use choices. The …

Developing the next‐generation of species distribution modelling (SDM) requires solutions
to a number of widely recognised problems. Here, we address the problem of uncertainty in …

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

Aim Human‐related pressures are growing in species‐rich regions and pose a threat to the
conservation of biodiversity. Here, we use the available data for five taxonomic groups …

Species distribution models (SDMs) frequently project substantial declines in the spatial
extent of climatically suitable habitat in response to scenarios of future climate change. Such …