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  Maximum entropy production allows a simple representation of heterogeneity in semiarid ecosystems

Schymanski, S. J., Kleidon, A., Stieglitz, M., & Narula, J. (2010). Maximum entropy production allows a simple representation of heterogeneity in semiarid ecosystems. Philosophical Transactions of the Royal Society of London - Series B: Biological Sciences, 365(1545), 1449-1455. doi:10.1098/rstb.2009.0309.

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Schymanski, S. J.1, Author           
Kleidon, A.2, Author           
Stieglitz, M., Author
Narula, J., Author
Affiliations:
1Terrestrial Biosphere, Research Group Biospheric Theory and Modelling, Dr. A. Kleidon, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497792              
2Research Group Biospheric Theory and Modelling, Dr. A. Kleidon, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497761              

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Free keywords: optimality maximum entropy production subgrid-scale variability heterogeneity self-organization vegetation patterns thermodynamics vegetation system states earth
 Abstract: Feedbacks between water use, biomass and infiltration capacity in semiarid ecosystems have been shown to lead to the spontaneous formation of vegetation patterns in a simple model. The formation of patterns permits the maintenance of larger overall biomass at low rainfall rates compared with homogeneous vegetation. This results in a bias of models run at larger scales neglecting subgrid-scale variability. In the present study, we investigate the question whether subgrid-scale heterogeneity can be parameterized as the outcome of optimal partitioning between bare soil and vegetated area. We find that a two-box model reproduces the time-averaged biomass of the patterns emerging in a 100 x 100 grid model if the vegetated fraction is optimized for maximum entropy production (MEP). This suggests that the proposed optimality-based representation of subgrid-scale heterogeneity may be generally applicable to different systems and at different scales. The implications for our understanding of self-organized behaviour and its modelling are discussed.

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Language(s): eng - English
 Dates: 2010
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1098/rstb.2009.0309
ISI: ://000276272200017
Other: BGC1343
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Title: Philosophical Transactions of the Royal Society of London - Series B: Biological Sciences
Source Genre: Journal
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Pages: - Volume / Issue: 365 (1545) Sequence Number: - Start / End Page: 1449 - 1455 Identifier: ISSN: 0962-8436