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Global relationships in tree functional traits

Author

Listed:
  • Daniel S. Maynard

    (ETH Zürich)

  • Lalasia Bialic-Murphy

    (ETH Zürich)

  • Constantin M. Zohner

    (ETH Zürich)

  • Colin Averill

    (ETH Zürich)

  • Johan Hoogen

    (ETH Zürich)

  • Haozhi Ma

    (ETH Zürich)

  • Lidong Mo

    (ETH Zürich)

  • Gabriel Reuben Smith

    (ETH Zürich
    Stanford University)

  • Alicia T. R. Acosta

    (Roma Tre University)

  • Isabelle Aubin

    (Great Lakes Forestry Centre)

  • Erika Berenguer

    (University of Oxford
    Lancaster University)

  • Coline C. F. Boonman

    (Radboud University)

  • Jane A. Catford

    (King’s College London)

  • Bruno E. L. Cerabolini

    (University of Insubria)

  • Arildo S. Dias

    (Goethe University, Institute for Physical Geography)

  • Andrés González-Melo

    (Universidad del Rosario)

  • Peter Hietz

    (University of Natural Resources and Life Sciences)

  • Christopher H. Lusk

    (University of Waikato)

  • Akira S. Mori

    (The University of Tokyo)

  • Ülo Niinemets

    (Estonian University of Life Sciences)

  • Valério D. Pillar

    (Universidade Federal do Rio Grande do Sul)

  • Bruno X. Pinho

    (Univ Montpellier, INRAe, CIRAD, CNRS, IRD
    Universidade Federal de Pernambuco)

  • Julieta A. Rosell

    (Universidad Nacional Autónoma de México, A.P. 70-275, Ciudad Universitaria, Coyoacán)

  • Frank M. Schurr

    (University of Hohenheim)

  • Serge N. Sheremetev

    (Komarov Botanical Institute)

  • Ana Carolina Silva

    (Santa Catarina State University)

  • Ênio Sosinski

    (Embrapa Clima Temperado)

  • Peter M. Bodegom

    (Leiden University)

  • Evan Weiher

    (University of Wisconsin – Eau Claire)

  • Gerhard Bönisch

    (Max Planck Institute for Biogeochemistry)

  • Jens Kattge

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

  • Thomas W. Crowther

    (ETH Zürich)

Abstract

Due to massive energetic investments in woody support structures, trees are subject to unique physiological, mechanical, and ecological pressures not experienced by herbaceous plants. Despite a wealth of studies exploring trait relationships across the entire plant kingdom, the dominant traits underpinning these unique aspects of tree form and function remain unclear. Here, by considering 18 functional traits, encompassing leaf, seed, bark, wood, crown, and root characteristics, we quantify the multidimensional relationships in tree trait expression. We find that nearly half of trait variation is captured by two axes: one reflecting leaf economics, the other reflecting tree size and competition for light. Yet these orthogonal axes reveal strong environmental convergence, exhibiting correlated responses to temperature, moisture, and elevation. By subsequently exploring multidimensional trait relationships, we show that the full dimensionality of trait space is captured by eight distinct clusters, each reflecting a unique aspect of tree form and function. Collectively, this work identifies a core set of traits needed to quantify global patterns in functional biodiversity, and it contributes to our fundamental understanding of the functioning of forests worldwide.

Suggested Citation

  • Daniel S. Maynard & Lalasia Bialic-Murphy & Constantin M. Zohner & Colin Averill & Johan Hoogen & Haozhi Ma & Lidong Mo & Gabriel Reuben Smith & Alicia T. R. Acosta & Isabelle Aubin & Erika Berenguer , 2022. "Global relationships in tree functional traits," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30888-2
    DOI: 10.1038/s41467-022-30888-2
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    References listed on IDEAS

    as
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