The interaction between warming and enrichment accelerates food-web simplification in freshwater systems.

biochemical oxygen demand connectance fish lake maximum trophic level stream trophic interaction

Journal

Ecology letters
ISSN: 1461-0248
Titre abrégé: Ecol Lett
Pays: England
ID NLM: 101121949

Informations de publication

Date de publication:
Aug 2024
Historique:
revised: 25 06 2024
received: 13 11 2023
accepted: 26 06 2024
medline: 3 8 2024
pubmed: 3 8 2024
entrez: 3 8 2024
Statut: ppublish

Résumé

Nutrient enrichment and climate warming threaten freshwater systems. Metabolic theory and the paradox of enrichment predict that both stressors independently can lead to simpler food-webs having fewer nodes, shorter food-chains and lower connectance, but cancel each other's effects when simultaneously present. Yet, these theoretical predictions remain untested in complex natural systems. We inferred the food-web structure of 256 lakes and 373 streams from standardized fish community samplings in France. Contrary to theoretical predictions, we found that warming shortens fish food-chain length and that this effect was magnified in enriched streams and lakes. Additionally, lakes experiencing enrichment exhibit lower connectance in their fish food-webs. Our study suggests that warming and enrichment interact to magnify food-web simplification in nature, raising further concerns about the fate of freshwater systems as climate change effects will dramatically increase in the coming decades.

Identifiants

pubmed: 39096032
doi: 10.1111/ele.14480
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14480

Subventions

Organisme : Centre for Ecology and Hydrology
ID : NE/T003502/1
Organisme : Agence Nationale de la Recherche
ID : ANR-17-CE32-0002
Organisme : Agence Nationale de la Recherche
ID : ANR-19-CE02-0001
Organisme : OFB-INRAE-USMB Pole ECLA

Informations de copyright

© 2024 The Author(s). Ecology Letters published by John Wiley & Sons Ltd.

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Auteurs

Willem Bonnaffé (W)

Big Data Institute, University of Oxford, Oxford, UK.
Department of Biology, University of Oxford, Oxford, UK.

Alain Danet (A)

Centre d'Ecologie et des Sciences de la Conservation, CESCO, UMR 7204, MNHN-CNRS-SU, Paris, France.
School of Biosciences, University of Sheffield, Sheffield, UK.

Camille Leclerc (C)

RECOVER, INRAE, Aix Marseille University, Aix-en-Provence, France.
Pôle R&D Écosystèmes Lacustres (ECLA), OFB-INRAE-USMB, Aix-en-Provence, France.

Victor Frossard (V)

Pôle R&D Écosystèmes Lacustres (ECLA), OFB-INRAE-USMB, Aix-en-Provence, France.
University of Savoie Mont Blanc, INRAE, CARRTEL, Thonon-les-Bains, France.

Eric Edeline (E)

DECOD (Ecosystem Dynamics and Sustainability), INRAE, Institut Agro Rennes-Angers, IFREMER, Rennes, France.

Arnaud Sentis (A)

RECOVER, INRAE, Aix Marseille University, Aix-en-Provence, France.
Pôle R&D Écosystèmes Lacustres (ECLA), OFB-INRAE-USMB, Aix-en-Provence, France.

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