COS 50-10
Variation in plant growth rates across broad climate gradients: Toward a general metabolic scaling model linking climate, functional traits, and growth rate

Tuesday, August 12, 2014: 4:40 PM
314, Sacramento Convention Center
Sean T. Michaletz, Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ
Brian J. Enquist, Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ
James H. Brown, Department of Biology, University of New Mexico, Albuquerque, NM
Vanessa R. Buzzard, University of Arizona, Tucson, AZ
Ye Deng, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
Sean T. Hammond, University of New Mexico
Zhili He, Institute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK
Amanda N. Henderson, Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ
Michael Kaspari, Department of Biology, University of Oklahoma, Norman, OK
Yadvinder Malhi, Environmental Change Institute, University of Oxford, Oxford, United Kingdom
Jeanine McGann, Department of Biology, University of New Mexico, Albuquerque, NM
Hubert Morin, Department of Fundamental Sciences, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada
Colby B. Sides, Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ
Robert B. Waide, Biology, University of New Mexico, Albuquerque, NM
Michael D. Weiser, Department of Biology, University of Oklahoma, Norman, OK
James W. Voordeckers, Botany and Microbiology, University of Oklahoma, Norman, OK
Jizhong Zhou, Institute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK
Background/Question/Methods

Climate is thought to drive variation in plant growth rates via direct effects on the kinetics of photosynthesis and respiration. However, recent studies have shown that plant growth rates converge across climate gradients to a common scaling relationship with plant functional traits and plant biomass, suggesting that climatic variation in growth rates does not reflect a direct kinetic control of climate but instead an indirect control via constraints on maximum plant size and growing season length. We evaluated these hypotheses by: (1) extending metabolic scaling theory to include hypothesized relationships between climate variables (temperature, precipitation, evapotranspiration, and growing season length) and key plant functional traits (net carbon assimilation rates, specific leaf area, carbon use efficiency, tree carbon mass fraction, and leaf mass allocation) to predict mass growth rates of individual plants, and (2) assessing these relationships for 1580 woody plant species using functional trait and allometry data compiled from the literature with climate and stem diameter growth data collected from over 15,000 individual trees at 35 sites spanning broad gradients in latitude and elevation.

Results/Conclusions

Our results show that comparing normalized rates of biomass growth per individual plant reveals a remarkable overlap across sites. Almost none of the variation in plant growth rates was explained by climate variables; instead, most of the variation was explained by variation in plant functional traits and total plant biomass. These results suggest that woody plants across broad climate gradients converge to a similar normalized growth rates as a result of directional shifts in functional traits across climate gradients. This extension of metabolic scaling theory suggests that climatic variation in growth rates reflects not a direct kinetic control of growth physiology, but instead an indirect control on maximum plant size and/or growing season length.