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  An optimality-based model of the dynamic feedbacks between natural vegetation and the water balance

Schymanski, S. J., Sivapalan, M., Roderick, M. L., Hutley, L. B., & Beringer, J. (2009). An optimality-based model of the dynamic feedbacks between natural vegetation and the water balance. Water Resources Research, 45, W01412. doi:10.1029/2008wr006841.

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BGC1195.pdf (Publisher version), 778KB
 
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http://dx.doi.org/10.1029/2008wr006841 (Publisher version)
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 Creators:
Schymanski, S. J.1, Author           
Sivapalan, M., Author
Roderick, M. L., Author
Hutley, L. B., Author
Beringer, J., Author
Affiliations:
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: NORTHERN AUSTRALIA TROPICAL SAVANNA CANOPY PHOTOSYNTHESIS NITROGEN-CONTENT SOIL-MOISTURE LIFE-SPAN CARBON ROOT CLIMATE HYPOTHESIS
 Abstract: The hypothesis that vegetation adapts optimally to its environment gives rise to a novel framework for modeling the interactions between vegetation dynamics and the catchment water balance that does not rely on prior knowledge about the vegetation at a particular site. We present a new model based on this framework that includes a multilayered physically based catchment water balance model and an ecophysiological gas exchange and photosynthesis model. The model uses optimization algorithms to find those static and dynamic vegetation properties that would maximize the net carbon profit under given environmental conditions. The model was tested at a savanna site near Howard Springs (Northern Territory, Australia) by comparing the modeled fluxes and vegetation properties with long-term observations at the site. The results suggest that optimality may be a useful way of approaching the prediction and estimation of vegetation cover, rooting depth, and fluxes such as transpiration and CO2 assimilation in ungauged basins without model calibration.

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Language(s): eng - English
 Dates: 2009
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1029/2008wr006841
ISI: ://000262631200003
Other: BGC1195
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Title: Water Resources Research
Source Genre: Journal
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Publ. Info: Washington [etc.] : American Geophysical Union
Pages: - Volume / Issue: 45 Sequence Number: - Start / End Page: W01412 Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/954925451856
ISSN: 0043-1397