Towards a Comparative Framework of Demographic Resilience.

global change life-history strategies population model regime shifts stability stage-structured

Journal

Trends in ecology & evolution
ISSN: 1872-8383
Titre abrégé: Trends Ecol Evol
Pays: England
ID NLM: 8805125

Informations de publication

Date de publication:
09 2020
Historique:
received: 20 12 2019
revised: 28 04 2020
accepted: 01 05 2020
pubmed: 3 6 2020
medline: 21 10 2020
entrez: 3 6 2020
Statut: ppublish

Résumé

In the current global biodiversity crisis, the development of tools to define, quantify, compare, and predict resilience is essential for understanding the responses of species to global change. However, disparate interpretations of resilience have hampered the development of a common currency to quantify and compare resilience across natural systems. Most resilience frameworks focus on upper levels of biological organization, especially ecosystems or communities, which complicates measurements of resilience using empirical data. Surprisingly, there is no quantifiable definition of resilience at the demographic level. We introduce a framework of demographic resilience that draws on existing concepts from community and population ecology, as well as an accompanying set of metrics that are comparable across species.

Identifiants

pubmed: 32482368
pii: S0169-5347(20)30131-2
doi: 10.1016/j.tree.2020.05.001
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

776-786

Informations de copyright

Copyright © 2020. Published by Elsevier Ltd.

Auteurs

Pol Capdevila (P)

Department of Zoology, University of Oxford, Oxford OX1 3SZ, UK. Electronic address: pcapdevila.pc@gmail.com.

Iain Stott (I)

Department of Biology, Interdisciplinary Centre on Population Dynamics (CPop), University of Southern Denmark, 5230 Odense M, Denmark; School of Life Sciences, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK.

Maria Beger (M)

School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK; Centre for Biodiversity and Conservation Science, University of Queensland, St Lucia, 4071, QLD, Australia.

Roberto Salguero-Gómez (R)

Department of Zoology, University of Oxford, Oxford OX1 3SZ, UK; Centre for Biodiversity and Conservation Science, University of Queensland, St Lucia, 4071, QLD, Australia; Evolutionary Demography Laboratory, Max Planck Institute for Demographic Research, Rostock 18057, Germany.

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