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

Author

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  • Brian J. Enquist

    (University of Arizona, Tucson, Arizona 85719, USA
    The Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico 87501, USA
    Center for Applied Biodiversity, Science Conservation International, 2011 Crystal Drive, Suite 500, Arlington, Virginia 22202, USA)

  • Andrew J. Kerkhoff

    (University of Arizona, Tucson, Arizona 85719, USA
    Kenyon College, Gambier, Ohio 43022, 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)

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.

Suggested Citation

  • Brian J. Enquist & Andrew J. Kerkhoff & Scott C. Stark & Nathan G. Swenson & Megan C. McCarthy & Charles A. Price, 2007. "A general integrative model for scaling plant growth, carbon flux, and functional trait spectra," Nature, Nature, vol. 449(7159), pages 218-222, September.
    • Handle: RePEc:nat:nature:v:449:y:2007:i:7159:d:10.1038_nature06061
    DOI: 10.1038/nature06061
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    Citations

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    Cited by:

    1. Kihachiro Kikuzawa & Kenji Seiwa & Martin J Lechowicz, 2013. "Leaf Longevity as a Normalization Constant in Allometric Predictions of Plant Production," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-1, December.
    2. Watt, Michael S. & Kirschbaum, Miko U.F., 2011. "Moving beyond simple linear allometric relationships between tree height and diameter," Ecological Modelling, Elsevier, vol. 222(23), pages 3910-3916.
    3. Zhiqiang Wang & Heng Huang & Han Wang & Josep Peñuelas & Jordi Sardans & Ülo Niinemets & Karl J. Niklas & Yan Li & Jiangbo Xie & Ian J. Wright, 2022. "Leaf water content contributes to global leaf trait relationships," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    4. Hunt, Allen G. & Faybishenko, Boris & Powell, Thomas L., 2020. "A new phenomenological model to describe root-soil interactions based on percolation theory," Ecological Modelling, Elsevier, vol. 433(C).
    5. Pekka Kaitaniemi, 2008. "How to Derive Biological Information from the Value of the Normalization Constant in Allometric Equations," PLOS ONE, Public Library of Science, vol. 3(4), pages 1-4, April.
    6. Zakharova, L. & Meyer, K.M. & Seifan, M., 2019. "Trait-based modelling in ecology: A review of two decades of research," Ecological Modelling, Elsevier, vol. 407(C), pages 1-1.
    7. Kohei Koyama & Yoshiki Hidaka & Masayuki Ushio, 2012. "Dynamic Scaling in the Growth of a Non-Branching Plant, Cardiocrinum cordatum," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-5, September.

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