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    The worldwide leaf economics spectrum

    Access Status
    Fulltext not available
    Authors
    Wright I.J.
    Reich, P.B.
    Westoby, M.
    Ackerly, D.D.
    Baruch, Z.
    Bongers, F.
    Cavender-Bares, J.
    Chapin, T.
    Cornelissen, J.H.C.
    Diemer, M.
    Flexas, J.
    Garnier, E.
    Groom, Philip
    Gulias, J.
    Hikosaka, K.
    Lamont, Byron
    Lee, T.
    Lee, W.
    Lusk, C.
    Midgley, J.J.
    Navas, M.-L.
    Niinemets, Ü.
    Olėksyn, J.
    Osada, N.
    Poorter, H.
    Poot, P.
    Prior, L.
    Pyankov, V.I.
    Roumet, C.
    Thomas, S.C.
    Tjoelker, M.G.
    Veneklaas, E.J.
    Villar, R.
    Date
    2004
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Wright I.J. and Reich, P.B. and Westoby, M. and Ackerly, D.D. and Baruch, Z. and Bongers, F. and Cavender-Bares, J. et al. 2004. The worldwide leaf economics spectrum. Nature 428, pp. 821-827.
    DOI
    10.1038/nature02403
    Faculty
    School of Agriculture and Environment
    Faculty of Science and Engineering
    Department of Environmental Biology
    URI
    http://hdl.handle.net/20.500.11937/44522
    Collection
    • Curtin Research Publications
    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.

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