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  The carbon balance of European croplands: A cross-site comparison of simulation models

Wattenbach, M., Sus, O., Vuichard, N., Lehuger, S., Gottschalk, P., Li, L., et al. (2010). The carbon balance of European croplands: A cross-site comparison of simulation models. Agriculture, Ecosystems & Environment, 139(3), 419-453. doi:10.1016/j.agee.2010.08.004.

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Wattenbach, Martin, Author
Sus, Oliver, Author
Vuichard, Nicolas, Author
Lehuger, Simon, Author
Gottschalk, Pia, Author
Li, Longhui, Author
Leip, Adrian, Author
Williams, Mathew, Author
Tomelleri, Enrico1, Author           
Kutsch, W. L., Author
Buchmann, Nina, Author
Eugster, Werner, Author
Dietiker, Dominique, Author
Aubinet, Marc, Author
Ceschia, Eric, Author
Béziat, Pierre, Author
Grünwald, Thomas, Author
Hastings, Astley, Author
Osborne, Bruce, Author
Ciais, Philippe, Author
more..
Affiliations:
1Research Group Biogeochemical Model-data Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497760              

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Free keywords: Cropland Crop Eddy flux Carbon CO2 Modelling
 Abstract: Croplands cover approximately 45% of Europe and play an important role in the overall carbon budget of the continent. However, the estimation of their carbon balance remains uncertain due to the diversity of crops and cropping systems together with the strong influence of human management. Here, we present a multi-site model comparison for four cropland ecosystem models namely the DNDC, ORCHIDEE-STICS, CERES-EGC and SPA models. We compare the accuracy of the models in predicting net ecosystem exchange (NEE), gross primary production (GPP), ecosystem respiration (Reco) as well as actual evapo-transpiration (ETa) for winter wheat (Triticum aestivum L.) and maize (Zea mays L.) derived from eddy covariance measurements on five sites along a gradient of climatic conditions from eastern to south-westerly Europe. The models are all able to simulate daily GPP. The simulation results for daily ETa and Reco are, however, less accurate. The resulting simulation of daily NEE is adequate except in some cases where models fail due to a lack in phase and amplitude alignment. ORCHIDEE-STICS and SPA show the best performance. Nevertheless, they are not able to simulate full crop rotations or the multiple management practices used. CERES-EGC, and especially DNDC, although exhibiting a lower level of model accuracy, are able to simulate such conditions, resulting in more accurate simulation of annual cumulative NEE.

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 Dates: 2010
 Publication Status: Issued
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 Identifiers: DOI: 10.1016/j.agee.2010.08.004
Other: BGC1428
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Title: Agriculture, Ecosystems & Environment
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 139 (3) Sequence Number: - Start / End Page: 419 - 453 Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/954928561459
ISSN: 0167-8809