Landscape genomics identifies how spatial and environmental factors structure the amount
and distribution of genetic variation among populations. Landscape genomic analyses have …

In an epoch of rapid environmental change, understanding and predicting how biodiversity
will respond to a changing climate is an urgent challenge. Since we seldom have sufficient …

Species distribution models (SDMs) constitute the most common class of models across
ecology, evolution and conservation. The advent of ready‐to‐use software packages and …

Species distribution models, also known as ecological niche models or habitat suitability
models, have become commonplace for addressing fundamental and applied biodiversity …

Joint species distribution modelling (JSDM) is a fast-develo** field and promises to
revolutionise how data on ecological communities are analysed and interpreted. Written for …

Abstract Machine learning algorithms have become very popular for spatial map** of the
environment due to their ability to fit nonlinear and complex relationships. However, this …

Ecological niche models (ENMs) are widely used statistical methods to estimate various
types of species niches. After lecturing several editions of introductory courses on ENMs and …

Habitat‐selection analyses allow researchers to link animals to their environment via habitat‐
selection or step‐selection functions, and are commonly used to address questions related …

In the face of the growing challenges brought about by human activities, effective planning
and decision-making in biodiversity and ecosystem conservation, restoration, and …

Applied ecology has traditionally approached management problems through a simplified,
single-species lens. Repeated failures of single-species management have led us to a new …