A general integrative model for scaling plant growth, carbon flux, and functional trait spectra

Brian J. Enquist, Andrew J. Kerkhoff, Scott C. Stark, Nathan G. Swenson, Megan C. McCarthy and Charles A. Price
Additional contact information
Brian J. Enquist: University of Arizona, Tucson, Arizona 85719, USA
Andrew J. Kerkhoff: University of Arizona, Tucson, Arizona 85719, USA
Scott C. Stark: University of Arizona, Tucson, Arizona 85719, USA
Nathan G. Swenson: University of Arizona, Tucson, Arizona 85719, USA
Megan C. McCarthy: University of Arizona, Tucson, Arizona 85719, USA
Charles A. Price: University of Arizona, Tucson, Arizona 85719, USA

Nature, 2007, vol. 449, issue 7159, 218-222

Abstract: Plant growth prediction The ability to use plants' functional traits — such as leaf area and mass, number of leaves per plant and efficiency of biomass production — to predict plant growth and carbon flux at the ecosystem scale is of importance in a range of fields including ecology, population biology and global change science. Enquist et al. have developed a model that can achieve such predictions, providing a mechanistic basis to scale from trait diversity to ecosystem processes.

Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://www.nature.com/articles/nature06061 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:449:y:2007:i:7159:d:10.1038_nature06061

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/nature06061

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().