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  A canopy-scale test of the optimal water-use hypothesis

Schymanski, S. J., Roderick, M. L., Sivapalan, M., Hutley, L. B., & Beringer, J. (2008). A canopy-scale test of the optimal water-use hypothesis. Plant, Cell and Environment, 31(1), 97-111. doi:10.1111/j.1365-3040.2007.01740.x.

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BGC1051.pdf (Publisher version), 567KB
 
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Schymanski, S. J.1, Author           
Roderick, M. L., Author
Sivapalan, M., Author
Hutley, L. B., Author
Beringer, J., Author
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1Terrestrial Biosphere, Research Group Biospheric Theory and Modelling, Dr. A. Kleidon, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497792              

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Free keywords: Partial derivative e/partial derivative a Adaptation Assimilation Optimization Photosynthesis Transpiration Vegetation optimality Gas-exchange Northern australia Tropical savanna Stomatal conductance CO2 assimilation Optimization theory Biochemical-model Seasonal patterns Global radiation Carbon
 Abstract: Common empirical models of stomatal conductivity often incorporate a sensitivity of stomata to the rate of leaf photosynthesis. Such a sensitivity has been predicted on theoretical terms by Cowan and Farquhar, who postulated that stomata should adjust dynamically to maximize photosynthesis for a given water loss. In this study, we implemented the Cowan and Farquhar hypothesis of optimal stomatal conductivity into a canopy gas exchange model, and predicted the diurnal and daily variability of transpiration for a savanna site in the wet-dry tropics of northern Australia. The predicted transpiration dynamics were then compared with observations at the site using the eddy covariance technique. The observations were also used to evaluate two alternative approaches: constant conductivity and a tuned empirical model. The model based on the optimal water-use hypothesis performed better than the one based on constant stomatal conductivity, and at least as well as the tuned empirical model. This suggests that the optimal water-use hypothesis is useful for modelling canopy gas exchange, and that it can reduce the need for model parameterization. [References: 58]

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 Dates: 2008
 Publication Status: Issued
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 Identifiers: DOI: 10.1111/j.1365-3040.2007.01740.x
Other: BGC1051
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Title: Plant, Cell and Environment
Source Genre: Journal
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Publ. Info: Oxford, England : Blackwell Science
Pages: - Volume / Issue: 31 (1) Sequence Number: - Start / End Page: 97 - 111 Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/954925471334
ISSN: 0140-7791