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The three major axes of terrestrial ecosystem function

  • 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. Andrew Black
  • , Peter D. Blanken
  • , Damien Bonal
  • , Nina Buchmann
  • , Silvia Caldararu
  • , Arnaud Carrara
  • , Nuno Carvalhais
  • , Alessandro Cescatti
  • , Jiquan Chen
  • Jamie Cleverly, Edoardo Cremonese, Ankur R. Desai, Tarek S. El-Madany, Martha M. Farella, Marcos Fernández-Martínez, Gianluca Filippa, Matthias Forkel, Marta Galvagno, Ulisse Gomarasca, Christopher M. Gough, Mathias Göckede, Andreas Ibrom, Hiroki Ikawa, Ivan A. Janssens, Martin Jung, Jens Kattge, Trevor F. Keenan, Alexander Knohl, Hideki Kobayashi, Guido Kraemer, Beverly E. Law, Michael J. Liddell, Xuanlong Ma, Ivan Mammarella, David Martini, Craig Macfarlane, Giorgio Matteucci, Leonardo Montagnani, Daniel E. Pabon-Moreno, Cinzia Panigada, Dario Papale, Elise Pendall, Josep Penuelas, Richard P. Phillips, Peter B. Reich, Micol Rossini, Eyal Rotenberg, Russell L. Scott, Clement Stahl, Ulrich Weber, Georg Wohlfahrt, Sebastian Wolf, Ian J. Wright, Dan Yakir, Sönke Zaehle, Markus Reichstein*
*Corresponding author for this work
    • Max Planck Institute for Biogeochemistry
    • Western Sydney University
    • University of California at Berkeley
    • University of Córdoba
    • University of Copenhagen
    • University of Exeter
    • University of Innsbruck
    • University of Colorado Boulder
    • Université de Lorraine
    • Swiss Federal Institute of Technology Zurich
    • Fundación CEAM
    • NOVA University Lisbon
    • Michigan State University
    • University of Technology Sydney
    • University of Wisconsin-Madison
    • Indiana University Bloomington
    • University of Antwerp
    • Environmental Protection Agency of Aosta Valley
    • Technische Universität Dresden
    • Virginia Commonwealth University
    • National Agriculture and Food Research Organization
    • University of Göttingen
    • Japan Agency for Marine-Earth Science and Technology
    • University of Valencia
    • Oregon State University
    • Lanzhou University
    • University of Helsinki
    • National Research Council of Italy
    • Free University of Bozen-Bolzano
    • University of Milan - Bicocca
    • Tuscia University
    • Centre for Ecological Research and Forestry Applications
    • Weizmann Institute of Science
    • United States Department of Agriculture
    • Université des Antilles et de la Guyane
    • European Commission Joint Research Centre Institute
    • Leipzig University
    • James Cook University Queensland
    • CSIRO

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    The leaf economics spectrum and the global spectrum of plant forms and functions revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species. Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities. However, the axes of variation of ecosystem functions are largely unknown, which limits our understanding of how ecosystems respond as a whole to anthropogenic drivers, climate and environmental variability. Here we derive a set of ecosystem functions from a dataset of surface gas exchange measurements across major terrestrial biomes. We find that most of the variability within ecosystem functions (71.8%) is captured by three key axes. The first axis reflects maximum ecosystem productivity and is mostly explained by vegetation structure. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The third axis, which represents ecosystem carbon-use efficiency, features a gradient related to aridity, and is explained primarily by variation in vegetation structure. We show that two state-of-the-art land surface models reproduce the first and most important axis of ecosystem functions. However, the models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range of responses to environmental changes in carbon, water and energy cycling in terrestrial ecosystems.
    Original languageEnglish
    JournalNature
    Volume598
    Pages (from-to)468–472
    Number of pages23
    ISSN0028-0836
    DOIs
    Publication statusPublished - 2021

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 13 - Climate Action
      SDG 13 Climate Action
    2. SDG 15 - Life on Land
      SDG 15 Life on Land

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