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

• Published in: Nature 2007-09, Vol.449 (7159), p.218-222
• Main Authors: Enquist, B.J, Kerkhoff, A.J, Stark, S.C, Swenson, N.G, McCarthy, M.C, Price, C.A
• Format: Article
• Language: English
• Subjects: Animal and plant ecology; Animal, plant and microbial ecology; biochemical pathways; Biological and medical sciences; Biomass; Botanical; Botany; Carbon; Carbon - metabolism; carbon use efficiency; Computing time; Ecology; Ecosystem; Ecosystems; equations; Fluctuations; Flux; functional trait spectra; Fundamental and applied biological sciences. Psychology; Genotype & phenotype; growth models; Growth rate; Humanities and Social Sciences; Leaves; letter; Mathematical models; mathematics and statistics; Models, Biological; multidisciplinary; Plant Development; Plant growth; plant physiology; plants; Plants (organisms); Plants - metabolism; Science; Spectra; Synecology; Terrestrial ecosystems; Theory
• ISSN: 0028-0836; 1476-4687; 1476-4679
• DOI: 10.1038/nature06061

Linking functional traits to plant growth is critical for scaling attributes of organisms to the dynamics of ecosystems and for understanding how selection shapes integrated botanical phenotypes. However, a general mechanistic theory showing how traits specifically influence carbon and biomass flux within and across plants is needed. Building on foundational work on relative growth rate, recent work on functional trait spectra, and metabolic scaling theory, here we derive a generalized trait-based model of plant growth. In agreement with a wide variety of empirical data, our model uniquely predicts how key functional traits interact to regulate variation in relative growth rate, the allometric growth normalizations for both angiosperms and gymnosperms, and the quantitative form of several functional trait spectra relationships. The model also provides a general quantitative framework to incorporate additional leaf-level trait scaling relationships and hence to unite functional trait spectra with theories of relative growth rate, and metabolic scaling. We apply the model to calculate carbon use efficiency. This often ignored trait, which may influence variation in relative growth rate, appears to vary directionally across geographic gradients. Together, our results show how both quantitative plant traits and the geometry of vascular transport networks can be merged into a common scaling theory. Our model provides a framework for predicting not only how traits covary within an integrated allometric phenotype but also how trait variation mechanistically influences plant growth and carbon flux within and across diverse ecosystems.