General statistical scaling laws for stability in ecological systems.

community disturbance diversity invariability invariance population resilience resistance spatial temporal

Journal

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

Informations de publication

Date de publication:
Jul 2021
Historique:
revised: 08 03 2021
received: 02 11 2020
accepted: 21 03 2021
pubmed: 5 5 2021
medline: 16 6 2021
entrez: 4 5 2021
Statut: ppublish

Résumé

Ecological stability refers to a family of concepts used to describe how systems of interacting species vary through time and respond to disturbances. Because observed ecological stability depends on sampling scales and environmental context, it is notoriously difficult to compare measurements across sites and systems. Here, we apply stochastic dynamical systems theory to derive general statistical scaling relationships across time, space, and ecological level of organisation for three fundamental stability aspects: resilience, resistance, and invariance. These relationships can be calibrated using random or representative samples measured at individual scales, and projected to predict average stability at other scales across a wide range of contexts. Moreover deviations between observed vs. extrapolated scaling relationships can reveal information about unobserved heterogeneity across time, space, or species. We anticipate that these methods will be useful for cross-study synthesis of stability data, extrapolating measurements to unobserved scales, and identifying underlying causes and consequences of heterogeneity.

Identifiants

pubmed: 33945663
doi: 10.1111/ele.13760
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1474-1486

Subventions

Organisme : TULIP French Laboratory of Excellence
ID : ANR-10-LABX-41
Organisme : TULIP French Laboratory of Excellence
ID : ANR-11-IDEX-0002-02
Organisme : Swedish Research Council
ID : VR 2017-05245
Organisme : Deutsche Forschungsgemeinschaft
ID : FZT 118
Organisme : NSF
ID : EPS-1655726
Organisme : Horizon 2020 Framework Programme
ID : 666971

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2021 The Authors. Ecology Letters published by John Wiley & Sons Ltd.

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Auteurs

Adam Thomas Clark (AT)

Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.
Institute of Biology, University of Graz, Graz, Austria.
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.

Jean-Francois Arnoldi (JF)

Zoology Department, Trinity College Dublin, Dublin, Ireland.

Yuval R Zelnik (YR)

Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, Moulis, France.

György Barabas (G)

Division of Theoretical Biology, Department of Physics, Chemistry, and Biology, Linköping University, Linköping, Sweden.
MTA-ELTE Theoretical Biology and Evolutionary Ecology Research Group, Budapest, Hungary.

Dorothee Hodapp (D)

Helmholtz Institute for Functional Marine Biodiversity (HIFMB), Oldenburg, Germany.
Alfred-Wegener-Institute Helmholtz-Centre for Polar and Marine Research (AWI), Bremerhaven, Germany.

Canan Karakoç (C)

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
Department of Environmental Microbiology, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.

Sara König (S)

Department of Soil System Science, Helmholtz Centre for Environmental Research (UFZ), Halle (Saale), Germany.

Viktoriia Radchuk (V)

Department of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany.

Ian Donohue (I)

Zoology Department, Trinity College Dublin, Dublin, Ireland.

Andreas Huth (A)

Department of Ecological Modelling, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.

Claire Jacquet (C)

Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zürich, Switzerland.
Department of Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology, Eawag, Dübendorf, Switzerland.

Claire de Mazancourt (C)

Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, Moulis, France.

Andrea Mentges (A)

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
Department of Computer Sciences, Martin Luther University, Halle, Germany.

Dorian Nothaaß (D)

Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.
Department of Ecological Modelling, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.

Lauren G Shoemaker (LG)

Botany Department, University of Wyoming, Laramie, WY, USA.

Franziska Taubert (F)

Department of Ecological Modelling, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.

Thorsten Wiegand (T)

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
Department of Ecological Modelling, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.

Shaopeng Wang (S)

Institute of Ecology, College of Urban and Environmental Science, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China.

Jonathan M Chase (JM)

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
Department of Computer Sciences, Martin Luther University, Halle, Germany.

Michel Loreau (M)

Centre for Biodiversity Theory and Modelling, Theoretical and Experimental Ecology Station, CNRS, Moulis, France.

Stanley Harpole (S)

Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
Institute of Biology, Martin Luther University, Halle, Germany.

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