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., Leip, A., Williams, M., Tomelleri, E., Kutsch, W., L., Buchmann, N., Eugster, W., Dietiker, D., Aubinet, M., Ceschia, E., Béziat, P., Grünwald, T., Hastings, A., Osborne, B., Ciais, P., Cellier, P., & Smith, P. Agriculture, Ecosystems and Environment, 139(3):419-453, Elsevier B.V., 2010. ![The carbon balance of European croplands: A cross-site comparison of simulation models [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website doi abstract bibtex 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. © 2010 Elsevier B.V.
@article{
title = {The carbon balance of European croplands: A cross-site comparison of simulation models},
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year = {2010},
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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. © 2010 Elsevier B.V.},
bibtype = {article},
author = {Wattenbach, Martin and Sus, Oliver and Vuichard, Nicolas and Lehuger, Simon and Gottschalk, Pia and Li, Longhui and Leip, Adrian and Williams, Mathew and Tomelleri, Enrico and Kutsch, Werner Leo and Buchmann, Nina and Eugster, Werner and Dietiker, Dominique and Aubinet, Marc and Ceschia, Eric and Béziat, Pierre and Grünwald, Thomas and Hastings, Astley and Osborne, Bruce and Ciais, Philippe and Cellier, Pierre and Smith, Pete},
doi = {10.1016/j.agee.2010.08.004},
journal = {Agriculture, Ecosystems and Environment},
number = {3}
}
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