Demographic synthesis for global tree species conservation.

extinction risk global change life-history strategy vital rates woody plant

Journal

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

Informations de publication

Date de publication:
06 2023
Historique:
received: 31 08 2022
revised: 16 01 2023
accepted: 23 01 2023
medline: 12 5 2023
pubmed: 24 2 2023
entrez: 23 2 2023
Statut: ppublish

Résumé

Conserving the tree species of the world requires syntheses on which tree species are most vulnerable to pressing threats, such as climate change, invasive pests and pathogens, or selective logging. Here, we review the population and forest dynamics models that, when parameterized with data from population studies, forest inventories, or tree rings, have been used for identifying life-history strategies of species and threat-related changes in population demography and dynamics. The available evidence suggests that slow-growing and/or long-lived species are the most vulnerable. However, a lack of comparative, multi-species studies still challenges more precise predictions of the vulnerability of tree species to threats. Improving data coverage for mortality and recruitment, and accounting for interactions among threats, would greatly advance vulnerability assessments for conservation prioritizations of trees worldwide.

Identifiants

pubmed: 36822929
pii: S0169-5347(23)00017-4
doi: 10.1016/j.tree.2023.01.013
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

579-590

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests None declared by authors.

Auteurs

Bettina Ohse (B)

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, Halle (Saale), Germany. Electronic address: bettina.ohse@idiv.de.

Aldo Compagnoni (A)

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Institute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

Caroline E Farrior (CE)

Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA.

Sean M McMahon (SM)

Forest Global Earth Observatory, Smithsonian Environmental Research Center, Edgewater, MD, USA.

Roberto Salguero-Gómez (R)

Department of Biology, University of Oxford, Oxford, UK.

Nadja Rüger (N)

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Department of Economics, University of Leipzig, Leipzig, Germany; Smithsonian Tropical Research Institute, Balboa, Ancón, Panama.

Tiffany M Knight (TM)

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, Halle (Saale), Germany; Institute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

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Classifications MeSH