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Assessing metacommunity processes through signatures in spatiotemporal turnover of community composition

View ORCID ProfileFranck Jabot, View ORCID ProfileFabien Laroche, View ORCID ProfileFrançois Massol, Florent Arthaud, Julie Crabot, Maxime Dubart, View ORCID ProfileSimon Blanchet, View ORCID ProfileFrançois Munoz, Patrice David, Thibault Datry
doi: https://doi.org/10.1101/480335
Franck Jabot
1Université Clermont Auvergne, INRAE, UR LISC, Centre de Clermont-Ferrand, 9 avenue Blaise Pascal CS 20085, F-63178 Aubière, France
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  • ORCID record for Franck Jabot
  • For correspondence: franck.jabot@inrae.fr
Fabien Laroche
2INRAE, UR EFNO, Centre de Nogent-sur-Vernisson, Nogent-sur-Vernisson, France
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François Massol
3Univ. Lille, CNRS, UMR 8198 - Evo-Eco-Paleo, SPICI group, F-59000 Lille, France
4Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 8204 - CIIL - Center for Infection and Immunity of Lille, F-59000 Lille, France
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Florent Arthaud
5Univ. Savoie Mont Blanc, INRAE, CARRTEL, 74200 Thonon-les-Bains, France
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Julie Crabot
6INRAE, UR Riverly, Centre de Lyon-Villeurbanne, 5 rue de la Doua, 69625 Villeurbanne Cedex, France
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Maxime Dubart
7CEFE UMR 5175, CNRS - Université de Montpellier - Université Paul-Valéry Montpellier – IRD - EPHE, 1919 route de Mende, 34293 Montpellier cedex 5, France
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Simon Blanchet
8CNRS, Université Toulouse III Paul Sabatier, Station d’Écologie Théorique et Expérimentale, UMR 5321, 2 route du CNRS, 09200 Moulis, France
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François Munoz
9University Grenoble-Alpes, LECA, Grenoble Cedex 9, France
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Patrice David
7CEFE UMR 5175, CNRS - Université de Montpellier - Université Paul-Valéry Montpellier – IRD - EPHE, 1919 route de Mende, 34293 Montpellier cedex 5, France
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Thibault Datry
6INRAE, UR Riverly, Centre de Lyon-Villeurbanne, 5 rue de la Doua, 69625 Villeurbanne Cedex, France
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Abstract

Although metacommunity ecology has been a major field of research in the last decades, with both conceptual and empirical outputs, the analysis of the temporal dynamics of metacommunities has only emerged recently and consists mostly of repeated static analyses. Here, we propose a novel analytical framework to assess metacommunity processes using path analyses of spatial and temporal diversity turnovers. We detail the principles and practical aspects of this framework and apply it to simulated datasets to illustrate its ability to decipher the respective contributions of entangled drivers of metacommunity dynamics. We then apply it to four empirical datasets. Empirical results support the view that metacommunity dynamics may be generally shaped by multiple ecological processes acting in concert, with environmental filtering being variable across both space and time. These results reinforce our call to go beyond static analyses of metacommunities that are blind to the temporal part of environmental variability.

Footnotes

  • Authorship statement: all authors conceived the original idea and gave final approval for publication. FJ, FA, JC and MD performed the analyses. FJ lead the writing of the draft with contributions from all authors.

  • Data accessibility statement: all data are available online – see l. 673-678.

  • This version of the manuscript corresponds to the accepted version by Ecology Letters.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted April 07, 2020.
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Assessing metacommunity processes through signatures in spatiotemporal turnover of community composition
Franck Jabot, Fabien Laroche, François Massol, Florent Arthaud, Julie Crabot, Maxime Dubart, Simon Blanchet, François Munoz, Patrice David, Thibault Datry
bioRxiv 480335; doi: https://doi.org/10.1101/480335
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Assessing metacommunity processes through signatures in spatiotemporal turnover of community composition
Franck Jabot, Fabien Laroche, François Massol, Florent Arthaud, Julie Crabot, Maxime Dubart, Simon Blanchet, François Munoz, Patrice David, Thibault Datry
bioRxiv 480335; doi: https://doi.org/10.1101/480335

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