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  Optimization and evaluation of the ANTHRO-BGC model for winter crops in Europe

Ma, S. X., Churkina, G., Wieland, R., & Gessler, A. (2011). Optimization and evaluation of the ANTHRO-BGC model for winter crops in Europe. Ecological Modelling, 222(20-22), 3662-3679. doi:10.1016/j.ecolmodel.2011.08.025.

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Ma, S. X.1, Autor           
Churkina, G., Autor
Wieland, R., Autor
Gessler, A., Autor
Affiliations:
1Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497752              

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Schlagwörter: ANTHRO-BGC model Eddy flux measurements Sensitivity analysis Parameter optimization Uncertainty analysis BIOME-BGC model terrestrial ecosystem model carbon-dioxide exchange biome-bgc ribulose-1,5-bisphosphate carboxylase stomatal conductance parameter-estimation nitrogen nutrition leaf-area wheat phenology
 Zusammenfassung: Climate change and agricultural development are interrelated processes, both of which take place on the global scale. An accurate representation of crop phenology and physiology in ecosystem models is important in order to investigate the interactive processes between atmosphere and biosphere. A new phenological model for crops has been recently incorporated into the ecosystem model BIOME-BGC. Fruit compartments as well as a module for harvest were added to the original model. Here we explore whether eddy flux measurements of agricultural ecosystems are helpful to identify the spatially generalized ecophysiological parameters of the ANTHRO-BGC model (updated BIOME-BGC model) for croplands. The maximum, minimum, and reference values of the ANTHRO-BGC parameters were derived from a literature review. The sensitive parameters of the model were detected by using global sensitivity analysis. The spatially generalized values of ecophysiological parameters for wheat, barley, and rape within a typical temperature and precipitation range in western and central Europe were identified with the help of optimization algorithms and eddy covariance measurements of carbon and water fluxes of agricultural ecosystems as observational constraints. Gross primary productivity (GPP) provided the best constraint on the model parameters for all the three crop types. The validity range of the parameter values defined by the literature review was proved to be reliable. The predictive ability of the optimized model has been improved for GPP and net ecosystem exchange (NEE), but not for evapotranspiration (ET). The performance of the ANTHRO-BGC model was comparable to the performances of other crop models such as DNDC, CERES-EGC, ORCHIDEE-STICS, and SPA model, tested on multiple sites. The optimized ANTHRO-BGC model was relatively stable in response to the variation of the parameters on multiple sites and years. (C) 2011 Elsevier B.V. All rights reserved.

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Sprache(n): eng - English
 Datum: 2011
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1016/j.ecolmodel.2011.08.025
ISI: ://WOS:000297960800002
Anderer: BGC1602
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Titel: Ecological Modelling
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Amsterdam : Elsevier
Seiten: - Band / Heft: 222 (20-22) Artikelnummer: - Start- / Endseite: 3662 - 3679 Identifikator: CoNE: https://pure.mpg.de/cone/journals/resource/954925511442
ISSN: 0304-3800