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 …

Negative binomial modelling is one of the most commonly used statistical tools for analysing
count data in ecology and biodiversity research. This is not surprising given the prevalence …

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

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

Model‐based methods have emerged as a powerful approach for analysing multivariate
abundance data in community ecology. Key applications include model‐based ordination …

Probabilistic forecasts of species distribution and abundance require models that
accommodate the range of ecological data, including a joint distribution of multiple species …

There has been rapid development in tools for multivariate analysis based on fully specified
statistical models or 'joint models'. One approach attracting a lot of attention is generalized …

With high-throughput sequencing (HTS), we are able to explore the hidden world of
microscopic organisms to an unpre-cedented level. The fast development of molecular …

Modern species distribution models account for spatial autocorrelation in order to obtain
unbiased statistical inference on the effects of covariates, to improve the model's predictive …

Comparing ecological communities across environmental gradients can be challenging,
especially when the number of different taxonomic groups in the communities is large. In this …