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Journal Articles (Review Article) Trends in Ecology & Evolution Year : 2021

On the interpretations of joint modelling in community ecology

Abstract

Explaining and modelling species communities is more than ever a central goal of ecology. Recently, joint species distribution models (JSDMs), which extend species distribution models (SDMs) by considering correlations among species, have been proposed to improve species community analyses and rare species predictions while potentially inferring species interactions. Here, we illustrate the mathematical links between SDMs and JSDMs and their ecological implications and demonstrate that JSDMs, just like SDMs, cannot separate environmental effects from biotic interactions. We provide a guide to the conditions under which JSDMs are (or are not) preferable to SDMs for species community modelling. More generally, we call for a better uptake and clarification of novel statistical developments in the field of biodiversity modelling.
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Dates and versions

hal-03153558 , version 1 (31-08-2021)

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Giovanni Poggiato, Tamara Münkemüller, Daria Bystrova, Julyan Arbel, James Clark, et al.. On the interpretations of joint modelling in community ecology. Trends in Ecology & Evolution, 2021, 36 (5), pp.391-401. ⟨10.1016/j.tree.2021.01.002⟩. ⟨hal-03153558⟩
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