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

被引:180
作者
Enquist, Brian J. [1 ]
Kerkhoff, Andrew J.
Stark, Scott C.
Swenson, Nathan G.
McCarthy, Megan C.
Price, Charles A.
机构
[1] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85719 USA
[2] Santa Fe Inst, Santa Fe, NM 87501 USA
[3] Sci Conservat Int, Ctr Appl Biodivers, Arlington, VA 22202 USA
[4] Kenyon Coll, Dept Biol, Gambier, OH 43022 USA
[5] Kenyon Coll, Dept Math, Gambier, OH 43022 USA
基金
美国国家科学基金会;
关键词
D O I
10.1038/nature06061
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Linking functional traits to plant growth is critical for scaling attributes of organisms to the dynamics of ecosystems(1,2) and for understanding how selection shapes integrated botanical phenotypes(3). 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(4-6), recent work on functional trait spectra(7-9), and metabolic scaling theory(10,11), 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(7,8) 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.
引用
收藏
页码:218 / 222
页数:5
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