Technological advances have enabled a new class of multivariate models for ecology, with
the potential now to specify a statistical model for abundances jointly across many taxa, to …

We are facing a biodiversity crisis at the same time as we are acquiring an unprecedented
view of the world's biodiversity. Vast new datasets (eg, species distributions, traits …

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

Community ecology aims to understand what factors determine the assembly and dynamics
of species assemblages at different spatiotemporal scales. To facilitate the integration …

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

Species distribution modelling (SDM), also called environmental or ecological niche
modelling, has developed over the last 30 years as a widely used tool used in core areas of …

Explaining and modeling species communities is more than ever a central goal of ecology.
Recently, joint species distribution models (JSDMs), which extend species distribution …

Building useful models of species distributions requires attention to several important issues,
one being imperfect detection of species. Data sets of species detections are likely to suffer …

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 …

mvabund– an R package for model‐based analysis of multivariate abundance data Page 1
mvabund – an R package for model-based analysis of multivariate abundance data Yi …