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The worldwide leaf economics spectrum

Author

Listed:
  • Ian J. Wright

    (Macquarie University)

  • Peter B. Reich

    (University of Minnesota)

  • Mark Westoby

    (Macquarie University)

  • David D. Ackerly

    (Stanford University)

  • Zdravko Baruch

    (Universidad Simón Bolivar)

  • Frans Bongers

    (Wageningen University)

  • Jeannine Cavender-Bares

    (Smithsonian Environmental Research Center)

  • Terry Chapin

    (University of Alaska)

  • Johannes H. C. Cornelissen

    (Vrije Universiteit)

  • Matthias Diemer

    (University of Zurich)

  • Jaume Flexas

    (Universidad de Illes Balears)

  • Eric Garnier

    (Centre d'Ecologie Fonctionnelle et Evolutive, CNRS, UMR 5175)

  • Philip K. Groom

    (Curtin University of Technology)

  • Javier Gulias

    (Universidad de Illes Balears)

  • Kouki Hikosaka

    (Tohoku University)

  • Byron B. Lamont

    (Curtin University of Technology)

  • Tali Lee

    (University of Wisconsin-Eau Claire)

  • William Lee

    (Landcare Research)

  • Christopher Lusk

    (Universidad de Concepción)

  • Jeremy J. Midgley

    (University of Cape Town)

  • Marie-Laure Navas

    (Centre d'Ecologie Fonctionnelle et Evolutive, CNRS, UMR 5175)

  • Ülo Niinemets

    (University of Tartu)

  • Jacek Oleksyn

    (University of Minnesota
    Polish Academy of Sciences, Institute of Dendrology)

  • Noriyuki Osada

    (University of Tokyo)

  • Hendrik Poorter

    (Utrecht University)

  • Pieter Poot

    (School of Plant Biology, University of Western Australia)

  • Lynda Prior

    (Charles Darwin University, Northern Territory)

  • Vladimir I. Pyankov

    (Ural State University)

  • Catherine Roumet

    (Centre d'Ecologie Fonctionnelle et Evolutive, CNRS, UMR 5175)

  • Sean C. Thomas

    (Faculty of Forestry, University of Toronto)

  • Mark G. Tjoelker

    (Texas A&M University)

  • Erik J. Veneklaas

    (School of Plant Biology, University of Western Australia)

  • Rafael Villar

    (Universidad de Córdoba)

Abstract

Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first time at global scale, a universal spectrum of leaf economics consisting of key chemical, structural and physiological properties. The spectrum runs from quick to slow return on investments of nutrients and dry mass in leaves, and operates largely independently of growth form, plant functional type or biome. Categories along the spectrum would, in general, describe leaf economic variation at the global scale better than plant functional types, because functional types overlap substantially in their leaf traits. Overall, modulation of leaf traits and trait relationships by climate is surprisingly modest, although some striking and significant patterns can be seen. Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:nature:v:428:y:2004:i:6985:d:10.1038_nature02403
    DOI: 10.1038/nature02403
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