Species distribution models (SDMs) are widely used in ecology. In theory, SDMs capture (at
least part of) species' ecological niches and can be used to make inferences about the …

Predicting which species will occur together in the future, and where, remains one of the
greatest challenges in ecology, and requires a sound understanding of how the abiotic and …

There is a rich amount of information in co‐occurrence (presence–absence) data that could
be used to understand community assembly. This proposition first envisioned by Forbes …

This book introduces the key stages of niche-based habitat suitability model building,
evaluation and prediction required for understanding and predicting future patterns of …

A large array of species distribution model (SDM) approaches has been developed for
explaining and predicting the occurrences of individual species or species assemblages …

Aim Recent studies increasingly use statistical methods to infer biotic interactions from co‐
occurrence information at a large spatial scale. However, disentangling biotic interactions …

Organisms are expected to adapt or move in response to climate change, but observed
distribution shifts span a wide range of directions and rates. Explanations often emphasize …

A primary goal of ecology is to understand the fundamental processes underlying the
geographic distributions of species. Two major strands of ecology–habitat modelling and …

The field of ecological niche modelling or species distribution modelling has seen enormous
activity and attention in recent years, in the light of exciting biological inferences that can be …

Inferring biotic interactions from functional, phylogenetic and geographical proxies remains
one great challenge in ecology. We propose a conceptual framework to infer the backbone …