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Leaf-level coordination principles propagate to the ecosystem scale

Author

Listed:
  • Ulisse Gomarasca

    (Max Planck Institute for Biogeochemistry)

  • Mirco Migliavacca

    (Joint Research Centre)

  • Jens Kattge

    (Max Planck Institute for Biogeochemistry)

  • Jacob A. Nelson

    (Max Planck Institute for Biogeochemistry)

  • Ülo Niinemets

    (Estonian University of Life Sciences)

  • Christian Wirth

    (Max Planck Institute for Biogeochemistry
    Leipzig University
    German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena Leipzig)

  • Alessandro Cescatti

    (Joint Research Centre)

  • Michael Bahn

    (Universität Innsbruck, Institut für Ökologie)

  • Richard Nair

    (Max Planck Institute for Biogeochemistry
    School of Natural Sciences Trinity College Dublin)

  • Alicia T. R. Acosta

    (Dipartimento di Scienze - Università Roma TRE - V.le Marconi 446)

  • M. Altaf Arain

    (McMaster University)

  • Mirela Beloiu

    (ETH Zurich)

  • T. Andrew Black

    (University of British Columbia)

  • Hans Henrik Bruun

    (University of Copenhagen)

  • Solveig Franziska Bucher

    (German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena Leipzig
    Institute of Ecology and Evolution - Friedrich Schiller University Jena)

  • Nina Buchmann

    (ETH Zurich)

  • Chaeho Byun

    (Andong National University)

  • Arnaud Carrara

    (Fundación Centro de Estudios Ambientales del Mediterráneo (CEAM))

  • Adriano Conte

    (Institute for Sustainable Plant Protection (IPSP))

  • Ana C. Silva

    (Santa Catarina State University, Agroveterinary Center, Forestry Department, Av Luiz de Camões, 2090, Conta Dinheiro, 88.520-000)

  • Gregory Duveiller

    (Max Planck Institute for Biogeochemistry)

  • Silvano Fares

    (Institute for Agriculture and Forestry Systems in the Mediterranean (ISAFOM))

  • Andreas Ibrom

    (Technical University of Denmark (DTU), Environmental Engineering and Resource Management)

  • Alexander Knohl

    (University of Göttingen)

  • Benjamin Komac

    (Andorra Research + Innovation; Avinguda Rocafort 21-23, Edifici Molí, 3r pis)

  • Jean-Marc Limousin

    (CEFE, Univ Montpellier, CNRS, EPHE, IRD)

  • Christopher H. Lusk

    (University of Waikato, Private Bag)

  • Miguel D. Mahecha

    (German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena Leipzig
    Leipzig University)

  • David Martini

    (Max Planck Institute for Biogeochemistry)

  • Vanessa Minden

    (Vrije Universiteit Brussel)

  • Leonardo Montagnani

    (Free University of Bolzano)

  • Akira S. Mori

    (the University of Tokyo)

  • Yusuke Onoda

    (Kyoto University, Oiwake, Kitashirakawa)

  • Josep Peñuelas

    (CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra
    CREAF, Cerdanyola del Vallès)

  • Oscar Perez-Priego

    (University of Córdoba, Edif. Leonardo da Vinci, Campus de Rabanales s/n)

  • Peter Poschlod

    (Ecology and Conservation Biology, Institute of Plant Sciences - Faculty of Biology and Preclinical Medicine - University of Regensburg)

  • Thomas L. Powell

    (The University of the South)

  • Peter B. Reich

    (University of Minnesota
    University of Michigan
    Western Sydney University)

  • Ladislav Šigut

    (Global Change Research Institute of the Czech Academy of Sciences)

  • Peter M. Bodegom

    (Leiden University)

  • Sophia Walther

    (Max Planck Institute for Biogeochemistry)

  • Georg Wohlfahrt

    (Universität Innsbruck, Institut für Ökologie)

  • Ian J. Wright

    (Western Sydney University
    Macquarie University)

  • Markus Reichstein

    (Max Planck Institute for Biogeochemistry
    German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena Leipzig)

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.

Suggested Citation

  • Ulisse Gomarasca & Mirco Migliavacca & Jens Kattge & Jacob A. Nelson & Ülo Niinemets & Christian Wirth & Alessandro Cescatti & Michael Bahn & Richard Nair & Alicia T. R. Acosta & M. Altaf Arain & Mire, 2023. "Leaf-level coordination principles propagate to the ecosystem scale," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39572-5
    DOI: 10.1038/s41467-023-39572-5
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    References listed on IDEAS

    as
    1. Ian J. Wright & Peter B. Reich & Mark Westoby & David D. Ackerly & Zdravko Baruch & Frans Bongers & Jeannine Cavender-Bares & Terry Chapin & Johannes H. C. Cornelissen & Matthias Diemer & Jaume Flexas, 2004. "The worldwide leaf economics spectrum," Nature, Nature, vol. 428(6985), pages 821-827, April.
    2. Dray, Stephane, 2008. "On the number of principal components: A test of dimensionality based on measurements of similarity between matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2228-2237, January.
    3. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    4. Mirco Migliavacca & Talie Musavi & Miguel D. Mahecha & Jacob A. Nelson & Jürgen Knauer & Dennis D. Baldocchi & Oscar Perez-Priego & Rune Christiansen & Jonas Peters & Karen Anderson & Michael Bahn & T, 2021. "The three major axes of terrestrial ecosystem function," Nature, Nature, vol. 598(7881), pages 468-472, October.
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