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The worldwide leaf economics spectrum

Citation

Wright, IJ and Reich, PB and Westoby, M and Ackerly, DD and Baruch, Z and Bongers, F and Cavender-Bares, J and Chapin, T and Cornelissen, JHC and Diemer, M and Flexas, J and Garnier, E and Groom, PK and Gulias, J and Hikosaka, K and Lamont, BB and Lee, T and Lee, W and Lusk, C and Midgley, JJ and Navas, ML and Niinemets, U and Oleksyn, J and Osada, N and Poorter, H and Poot, P and Prior, LD and Pyankov, VI and Roumet, C and Thomas, SC and Tjoelker, MG and Veneklaas, EJ and Villar, R, The worldwide leaf economics spectrum , Nature, 428, (6985) pp. 821-827. ISSN 0028-0836 (2004) [Refereed Article]


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Copyright Statement

Copyright © 2004 Nature Publishing Group

DOI: doi:10.1038/nature02403

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.

Item Details

Item Type:Refereed Article
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Terrestrial ecology
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Terrestrial biodiversity
UTAS Author:Prior, LD (Dr Lynda Prior)
ID Code:72702
Year Published:2004
Web of Science® Times Cited:5489
Deposited By:Research Division
Deposited On:2011-08-30
Last Modified:2011-09-29
Downloads:58 View Download Statistics

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