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On the Interpretations of Joint Modeling in Community Ecology

Trends in ecology & evolution (Amsterdam), 2021-05, Vol.36 (5), p.391-401 [Peer Reviewed Journal]

Copyright © 2021 Elsevier Ltd. All rights reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0169-5347 ;EISSN: 1872-8383 ;DOI: 10.1016/j.tree.2021.01.002 ;PMID: 33618936

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  • Title:
    On the Interpretations of Joint Modeling in Community Ecology
  • Author: Poggiato, Giovanni ; Münkemüller, Tamara ; Bystrova, Daria ; Arbel, Julyan ; Clark, James S ; Thuiller, Wilfried
  • Subjects: Biodiversity ; Climate ; Ecology ; Environmental Sciences ; Models, Biological
  • Is Part Of: Trends in ecology & evolution (Amsterdam), 2021-05, Vol.36 (5), p.391-401
  • Description: Explaining and modeling 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 modeling. More generally, we call for a better uptake and clarification of novel statistical developments in the field of biodiversity modeling.
  • Publisher: England: Elsevier
  • Language: English
  • Identifier: ISSN: 0169-5347
    EISSN: 1872-8383
    DOI: 10.1016/j.tree.2021.01.002
    PMID: 33618936
  • Source: Hyper Article en Ligne (HAL) (Open Access)
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