Warming indirectly increases invasion success in food webs.

allometric bio-energetic model body size climate change food web structure temperature dependence top-down control

Journal

Proceedings. Biological sciences
ISSN: 1471-2954
Titre abrégé: Proc Biol Sci
Pays: England
ID NLM: 101245157

Informations de publication

Date de publication:
31 03 2021
Historique:
entrez: 17 3 2021
pubmed: 18 3 2021
medline: 21 5 2021
Statut: ppublish

Résumé

Climate warming and biological invasions are key drivers of biodiversity change. Their combined effects on ecological communities remain largely unexplored. We investigated the direct and indirect influences of temperature on invasion success, and their synergistic effects on community structure and dynamics. Using size-structured food web models, we found that higher temperatures increased invasion success. The direct physiological effects of temperature on invasions were minimal in comparison with indirect effects mediated by changes on food web structure and stability. Warmer communities with less connectivity, shortened food chains and reduced temporal variability were more susceptible to invasions. The directionality and magnitude of invasions effects on food webs varied across temperature regimes. When invaded, warmer communities became smaller, more connected and with more predator species than their colder counterparts. They were also less stable and their species more abundant. Considering food web structure is crucial to predict invasion success and its impacts along temperature gradients.

Identifiants

pubmed: 33726601
doi: 10.1098/rspb.2020.2622
pmc: PMC8059653
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.5325020']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

20202622

Subventions

Organisme : European Research Council
ID : 726176
Pays : International

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Auteurs

Arnaud Sentis (A)

Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 2 route du CNRS, 09200 Moulis, France.
INRAE, Aix-Marseille University, UMR RECOVER, 3275 route Cézanne, 13182 Aix-en-Provence, France.

Jose M Montoya (JM)

Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 2 route du CNRS, 09200 Moulis, France.

Miguel Lurgi (M)

Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, 2 route du CNRS, 09200 Moulis, France.
Department of Biosciences, Swansea University, Singleton Park, Swansea SA2 8PP, UK.

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Classifications MeSH