Community assembly influences plant trait economic spectra and functional trade-offs at ecosystem scales.


Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
25 Jun 2024
Historique:
medline: 21 6 2024
pubmed: 21 6 2024
entrez: 21 6 2024
Statut: ppublish

Résumé

Plant functional traits hold the potential to greatly improve the understanding and prediction of climate impacts on ecosystems and carbon cycle feedback to climate change. Traits are commonly used to place species along a global conservative-acquisitive trade-off, yet how and if functional traits and conservative-acquisitive trade-offs scale up to mediate community and ecosystem fluxes is largely unknown. Here, we combine functional trait datasets and multibiome datasets of forest water and carbon fluxes at the species, community, and ecosystem-levels to quantify the scaling of the tradeoff between maximum flux and sensitivity to vapor pressure deficit. We find a strong conservative-acquisitive trade-off at the species scale, which weakens modestly at the community scale and largely disappears at the ecosystem scale. Functional traits, particularly plant water transport (hydraulic) traits, are strongly associated with the key dimensions of the conservative-acquisitive trade-off at community and ecosystem scales, highlighting that trait composition appears to influence community and ecosystem flux dynamics. Our findings provide a foundation for improving carbon cycle models by revealing i) that plant hydraulic traits are most strongly associated with community- and ecosystem scale flux dynamics and ii) community assembly dynamics likely need to be considered explicitly, as they give rise to ecosystem-level flux dynamics that differ substantially from trade-offs identified at the species-level.

Identifiants

pubmed: 38905242
doi: 10.1073/pnas.2404034121
doi:

Substances chimiques

Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2404034121

Subventions

Organisme : David and Lucille Packard Foundation
ID : NA
Organisme : US National Science Foundation
ID : 1802880 2003017 2044937 and Alan T. Waterman Award IOS-2325700
Organisme : Ministerio de Ciencia e Innovación (MCIN)
ID : RTI2018-095297-J-I00
Organisme : Alexander von Humboldt-Stiftung (AvH)
ID : NA
Organisme : Agència de Gestió d'Ajuts Universitaris i de Recerca de Catalunya
ID : 2021 SGR 00849
Organisme : Institució Catalana de Recerca i Estudis Avançats (ICREA)
ID : NA

Déclaration de conflit d'intérêts

Competing interests statement:The authors declare no competing interest.

Auteurs

William R L Anderegg (WRL)

Wilkes Center for Climate Science and Policy, University of Utah, Salt Lake City, UT 84103.
School of Biological Sciences, University of Utah, Salt Lake City, UT 84103.

Jordi Martinez-Vilalta (J)

Ecological and Forestry Applications Research Centre (CREAF), Bellaterra (Cerdanyola del Vallès), Catalonia E08193, Spain.
Department of Animal Biology, Plant Biology and Ecology, Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Catalonia E08193, Spain.

Maurizio Mencuccini (M)

Ecological and Forestry Applications Research Centre (CREAF), Bellaterra (Cerdanyola del Vallès), Catalonia E08193, Spain.
Institució Catalana de Recerca i Estudis Avançats, Barcelona, Catalonia E08010, Spain.

Rafael Poyatos (R)

Ecological and Forestry Applications Research Centre (CREAF), Bellaterra (Cerdanyola del Vallès), Catalonia E08193, Spain.
Department of Animal Biology, Plant Biology and Ecology, Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Catalonia E08193, Spain.

Articles similaires

Photosynthesis Ribulose-Bisphosphate Carboxylase Carbon Dioxide Molecular Dynamics Simulation Cyanobacteria
Animals Dietary Fiber Dextran Sulfate Mice Disease Models, Animal
Humans Climate Change Health Personnel Surveys and Questionnaires Medical Oncology
Silicon Dioxide Water Hot Temperature Compressive Strength X-Ray Diffraction

Classifications MeSH