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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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BGC1343.pdf (Verlagsversion), 418KB
 
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Schymanski, S. J.1, Autor           
Kleidon, A.2, Autor           
Stieglitz, M., Autor
Narula, J., Autor
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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Schlagwörter: optimality maximum entropy production subgrid-scale variability heterogeneity self-organization vegetation patterns thermodynamics vegetation system states earth
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2010
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1098/rstb.2009.0309
Anderer: BGC1343
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Titel: Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: London : Royal Society
Seiten: - Band / Heft: 365 (1545) Artikelnummer: - Start- / Endseite: 1449 - 1455 Identifikator: ISSN: 0962-8436
CoNE: https://pure.mpg.de/cone/journals/resource/963017382021_1