TY - JOUR
T1 - The carbon balance of European croplands
T2 - A cross-site comparison of simulation models
AU - Wattenbach, Martin
AU - Sus, Oliver
AU - Vuichard, Nicolas
AU - Lehuger, Simon
AU - Gottschalk, Pia
AU - Li, Longhui
AU - Leip, Adrian
AU - Williams, Mathew
AU - Tomelleri, Enrico
AU - Kutsch, Werner Leo
AU - Buchmann, Nina
AU - Eugster, Werner
AU - Dietiker, Dominique
AU - Aubinet, Marc
AU - Ceschia, Eric
AU - Béziat, Pierre
AU - Grünwald, Thomas
AU - Hastings, Astley Francis St John
AU - Osborne, Bruce
AU - Ciais, Philippe
AU - Cellier, Pierre
AU - Smith, Pete
PY - 2010/11/15
Y1 - 2010/11/15
N2 - 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 (R-eco) 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 southwesterly Europe. The models are all able to simulate daily GPP. The simulation results for daily ETa and R-eco 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.
AB - 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 (R-eco) 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 southwesterly Europe. The models are all able to simulate daily GPP. The simulation results for daily ETa and R-eco 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.
KW - cropland
KW - crop
KW - Eddy flux
KW - carbon
KW - CO2
KW - modelling
KW - net ecosystem exchange
KW - water-use efficiency
KW - drained Illinois Agroecosystems
KW - Eddy-covariance measurements
KW - locally weighted regression
KW - long-term experiments
KW - nitrous-oxide
KW - DNDC model
KW - terrestrial ecosystems
KW - management alternatives
U2 - 10.1016/j.agee.2010.08.004
DO - 10.1016/j.agee.2010.08.004
M3 - Article
VL - 139
SP - 419
EP - 453
JO - Agriculture Ecosystems & Environment
JF - Agriculture Ecosystems & Environment
SN - 0167-8809
IS - 3
ER -