Understanding temporal variability across trophic levels and spatial scales in freshwater ecosystems.

International long term ecological research (ILTER) Moran effect community synchrony compensatory dynamics metacommunities mobile consumers portfolio effect temporal variability

Journal

Ecology
ISSN: 1939-9170
Titre abrégé: Ecology
Pays: United States
ID NLM: 0043541

Informations de publication

Date de publication:
30 Nov 2023
Historique:
revised: 10 09 2023
received: 21 12 2022
accepted: 30 10 2023
medline: 1 12 2023
pubmed: 1 12 2023
entrez: 1 12 2023
Statut: aheadofprint

Résumé

A tenet of ecology is that temporal variability in ecological structure and processes tends to decrease with increasing spatial scales (from locales to regions) and levels of biological organization (from populations to communities). However, patterns in temporal variability across trophic levels and the mechanisms that produce them remain poorly understood. Here we analyzed abundance time series of spatially structured communities (i.e., metacommunities) spanning basal resources to top predators from 355 freshwater sites across three continents. Specifically, we used a hierarchical partitioning method to disentangle the propagation of temporal variability in abundance across spatial scales and trophic levels. We then used structural equation modeling to determine if the strength and direction of relationships between temporal variability, synchrony, biodiversity, and environmental and spatial settings depend on trophic level and spatial scale. We found that temporal variability in abundance decreased from producers to tertiary consumers but did so mainly at the local scale. Species population synchrony within sites increased with trophic level, whereas synchrony among communities decreased. At the local scale, temporal variability in precipitation and species diversity were associated with population variability (linear partial coefficient, β = 0.23) and population synchrony (β = -0.39) similarly across trophic levels, respectively. At the regional scale, community synchrony was not related to climatic or spatial predictors, but the strength of relationships between metacommunity variability and community synchrony decreased systematically from top predators (β = 0.73) to secondary consumers (β = 0.54), to primary consumers (β = 0.30) to producers (β =0). Our results suggest that mobile predators may often stabilize metacommunities by buffering variability that originates at the base of food webs. This finding illustrates that the trophic structure of metacommunities, which integrates variation in organismal body size and its correlates, should be considered when investigating ecological stability in natural systems. More broadly, our work advances the notion that temporal stability is an emergent property of ecosystems that may be threatened in complex ways by biodiversity loss and habitat fragmentation. This article is protected by copyright. All rights reserved.

Identifiants

pubmed: 38037301
doi: 10.1002/ecy.4219
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e4219

Informations de copyright

This article is protected by copyright. All rights reserved.

Auteurs

Tadeu Siqueira (T)

Institute of Biosciences, São Paulo State University (UNESP), Rio Claro, SP, Brazil.
Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA.
School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, New Zealand.

Charles P Hawkins (CP)

Department of Watershed Sciences, National Aquatic Monitoring Center, and Ecology Center, Utah State University, Logan, Utah, USA.

Julian D Olden (JD)

School of Aquatic and Fishery Sciences, University of Washington, WA, USA.

Jonathan Tonkin (J)

School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, New Zealand.
Te Pūnaha Matatini, Centre of Research Excellence in Complex Systems, Bioprotection Aotearoa, Centre of Research Excellence, New Zealand.

Lise Comte (L)

School of Biological Sciences, Illinois State University, Normal, Illinois, USA.

Victor S Saito (VS)

Department of Environmental Sciences, Federal University of São Carlos, São Carlos, SP, Brazil.

Thomas L Anderson (TL)

Department of Biological Sciences, Southern Illinois University, Edwardsville, Illinois, USA.

Gedimar P Barbosa (GP)

Institute of Biosciences, São Paulo State University (UNESP), Rio Claro, SP, Brazil.

Núria Bonada (N)

FEHM-Lab (Freshwater Ecology, Hydrology and Management), Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona (UB), Diagonal 643, Barcelona, Catalonia, Spain.

Claudia C Bonecker (CC)

CCB-Nupelia-PEA-PGB, Maringá State University, Maringá, PR, Brazil.

Miguel Cañedo-Argüelles (M)

FEHM-Lab, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona,18-26, Barcelona, Spain.

Thibault Datry (T)

INRAE, UR RiverLy, Centre Lyon-Grenoble Auvergne-Rhône-Alpes, 5 rue de la Doua CS70077, Villeurbanne Cedex, France.

Michael B Flinn (MB)

Hancock Biological Station, Biological Sciences, Murray State University, Murray, Kentucky, USA.

Pau Fortuño (P)

FEHM-Lab (Freshwater Ecology, Hydrology and Management), Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona (UB), Diagonal 643, Barcelona, Catalonia, Spain.

Gretchen A Gerrish (GA)

University of Wisconsin Madison, Center for Limnology-Trout Lake Station, Boulder Junction, Wisconsin, USA.

Peter Haase (P)

Department of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany; Faculty of Biology, University of Duisburg-Essen, Essen, Germany.

Matthew J Hill (MJ)

Department of Life and Environmental Sciences, Faculty of Science and Technology, Bournemouth University, Poole, Dorset, BH12 5BB, UK.

James M Hood (JM)

Aquatic Ecology Laboratory, Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio, USA; Translational Data Analytics Institute, The Ohio State University, Columbus, Ohio, USA.

Kaisa-Leena Huttunen (KL)

Ecology and Genetics Research Unit, University of Oulu, Finland.

Michael J Jeffries (MJ)

Northumbria University, Newcastle upon Tyne, UK.

Timo Muotka (T)

University of Oulu, Department of Ecology & Genetics, Finland.

Daniel R O'Donnell (DR)

Department of Wildlife, Fish and Conservation Biology, University of California, Davis, California, USA.

Riku Paavola (R)

Oulanka Research Station, University of Oulu, Finland.

Petr Paril (P)

Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic.

Michael J Paterson (MJ)

International Institute for Sustainable Development Experimental Lakes Area, Canada.

Christopher J Patrick (CJ)

Virginia Institute of Marine Science, USA.

Gilmar Perbiche-Neves (G)

Department of Hydrobiology, Federal University of São Carlos, SP, Brazil.

Luzia C Rodrigues (LC)

CCB-Nupelia-PEA-PGB, Maringá State University, Maringá, PR, Brazil.

Susanne C Schneider (SC)

Norwegian Institute for Water Research, Norway.

Michal Straka (M)

Oulanka Research Station, University of Oulu, Finland.
T.G. Masaryk Water Research Institute p.r.i., Brno Branch Office, Mojmírovo nám. 16, Brno, Czech Republic.

Albert Ruhi (A)

Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA.

Classifications MeSH