Species distribution models (SDMs) are statistical tools that relate species observations to
environmental conditions to retrieve ecological niches and predict species' potential …

Species Distribution Models (SDMs) are essential tools for predicting climate change impact
on species' distributions and are commonly employed as an informative tool on which to …

Recent growth of investments in wind energy and power industries has increased concerns
about the associated adverse impacts on wildlife. In particular, flying vertebrates are …

Predicting contemporary and future species distributions is relevant for science and decision
making, yet the development of high‐resolution spatial predictions for numerous taxonomic …

Many species distribution models (SDMs) are built with precise but geographically restricted
presence–absence data sets (eg, a country) where only a subset of the environmental …

Mahogany (Swietenia macrophylla King) is a species with great economic interest
worldwide and is classified as vulnerable to extinction by the IUCN. Deforestation and …

Because of the high risk of going unnoticed, cryptic species represent a major challenge to
biodiversity assessments, and this is particularly true for taxa that include many such …

Biodiversity is rapidly changing due to changes in the climate and human related activities;
thus, the accurate predictions of species composition and diversity are critical to developing …

Climate change and land-use changes are the main drivers altering fire regimes and
leading to the occurrence of megafires. Current management policies mainly focus on short …

Objectives We provide an easily implemented, flexible framework for sequential multi-level,
multi-scale HSM and compare it to two other commonly-applied approaches: single-level …