Leaf-level coordination principles propagate to the ecosystem scale
Gomarasca, Ulisse (Max Planck Institute for Biogeochemistry)
Migliavacca, Mirco (Joint Research Centre. European Commission)
Kattge, Jens (Max Planck Institute for Biogeochemistry)
Nelson, Jacob (Max Planck Institute for Biogeochemistry)
Niinemets, Ülo (Estonian University of Life Sciences. Chair of Plant and Crop Science)
Wirth, Christian (Leipzig University. Institute of Biology)
Cescatti, Alessandro (European Commission. Joint Research Centre)
Bahn, Michael (Universität Innsbruck. Institut für Ökologie)
Nair, Richard (Trinity College Dublin. School of Natural Sciences)
Acosta, Alicia T. R. (Università Roma TRE. Dipartimento di Scienze)
Arain, M. Altaf (McMaster Centre for Climate Change)
Beloiu, Mirela (ETH Zurich. Institute of Terrestrial Ecosystems)
Black, T. Andrew (University of British Columbia)
Bruun, Hans Henrik (University of Copenhagen. Department of Biology)
Bucher, Solveig Franziska (Friedrich Schiller University Jena. Institute of Ecology and Evolution)
Buchmann, Nina (ETH Zürich. Department of Environmental Systems Science)
Byun, Chaeho (Andong National University. Department of Biological Sciences)
Carrara, Arnaud (Fundación Centro de Estudios Ambientales del Mediterráneo)
Conte, Adriano (National Research Council of Italy. Institute for Sustainable Plant Protection)
da Silva, Ana Carolina (Santa Catarina State University. Agroveterinary Center)
Duveiller, Gregory (Max Planck Institute for Biogeochemistry)
Fares, Silvano (National Research Council of Italy. Institute for Agriculture and Forestry Systems in the Mediterranean)
Ibrom, Andreas (Technical University of Denmark. Environmental Engineering and Resource Management)
Knohl, Alexander (University of Göttingen. Bioclimatology)
Komac, Benjamin (Andorra Research + Innovation)
Limousin, Jean-Marc (Centre National de la Recherche Scientifique. Université Montpellier)
Lusk, Christopher H. (University of Waikato. Environmenal Research Institute)
Mahecha, Miguel D. (Leipzig University. Remote Sensing Centre for Earth System Research)
Martini, David (Max Planck Institute for Biogeochemistry)
Minden, Vanessa (Vrije Universiteit Brussel. Department of Biology)
Montagnani, Leonardo (Free University of Bolzano)
Mori, Akira S. (The University of Tokyo. Research Center for Advanced Science and Technology)
Onoda, Yusuke (Kyoto University. Graduate School of Agriculture)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Perez-Priego, Oscar (Universidad de Córdoba. Departamento de Ingeniería Forestal)
Poschlod, Peter (University of Regensburg. Institute of Plant Sciences)
Powell, Thomas L. (The University of the South. The Department of Earth and Environmental Systems)
Reich, Peter (Western Sydney University. Hawkesbury Institute for the Environment)
Šigut, Ladislav (Global Change Research Institute of the Czech Academy of Sciences. Department of Matter and Energy Fluxes)
van Bodegom, Peter (Leiden University. Institute of Environmental Sciences)
Walther, Sophia (Max Planck Institute for Biogeochemistry)
Wohlfahrt, Georg (Universität Innsbruck. Institut für Ökologie)
Wright, Ian J. (Macquarie University. School of Natural Sciences)
Reichstein, Markus (German Centre for Integrative Biodiversity Research (Halle-Jena-Leipzig, Alemanya))

Date:	2023
Abstract:	Fundamental axes of variation in plant traits result from trade-offs between costs and benefits of resource-use strategies at the leaf scale. However, it is unclear whether similar trade-offs propagate to the ecosystem level. Here, we test whether trait correlation patterns predicted by three well-known leaf- and plant-level coordination theories - the leaf economics spectrum, the global spectrum of plant form and function, and the least-cost hypothesis - are also observed between community mean traits and ecosystem processes. We combined ecosystem functional properties from FLUXNET sites, vegetation properties, and community mean plant traits into three corresponding principal component analyses. We find that the leaf economics spectrum (90 sites), the global spectrum of plant form and function (89 sites), and the least-cost hypothesis (82 sites) all propagate at the ecosystem level. However, we also find evidence of additional scale-emergent properties. Evaluating the coordination of ecosystem functional properties may aid the development of more realistic global dynamic vegetation models with critical empirical data, reducing the uncertainty of climate change projections.
Grants:	European Commission 855187 Agencia Estatal de Investigación PID2019-110521GB-I00
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Ecosystem ecology ; Plant ecology ; Carbon cycle
Published in:	Nature communications, Vol. 14 (July 2023) , art. 3948, ISSN 2041-1723

DOI: 10.1038/s41467-023-39572-5
PMID: 37402725

11 p, 16.2 MB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Experimental sciences > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Articles > Research articles
Articles > Published articles