Reference : The carbon balance of European croplands: A cross-site comparison of simulation models
Scientific journals : Article
Life sciences : Environmental sciences & ecology
Life sciences : Biochemistry, biophysics & molecular biology
http://hdl.handle.net/2268/41132
The carbon balance of European croplands: A cross-site comparison of simulation models
English
Wattenbach, Martin mailto [University of Aberdeen > Institute of Biological and Environmental Sciences > > >]
Sus, Olivier [The University of Edinburgh > School of GeoSciences and SAGES > > >]
Vuichard, Nicolas [Laboratoire des Sciences du Climat et de l’Environnement (LSCE/IPSL) CEA-CNRS-UVSQ, France > > > >]
Lehuger, Simon [Agroscope Reckenholz-Tänikon Research Station ART, Air Pollution/Climate Group > > > >]
Gottschalk, Pia [University of Aberdeen, Institute of Biological and Environmental Sciences > > > >]
Li, Longhui [Laboratoire des Sciences du Climat et de l’Environnement (LSCE/IPSL) CEA-CNRS-UVSQ > > > >]
Leip, Adrian [Institute for Environment and Sustainability, Climate Change Unit, Italie > > > >]
Williams, Mathew [The University of Edinburgh, School of GeoSciences and SAGES > > > >]
Tomelleri, Enrico [Johann Heinrich von Thünen-Institut (vTI), Federal Research Institute for Rural Areas, Forestry and Fisheries > > > >]
Kutsch, Werner Leo [Johann Heinrich von Thünen-Institut (vTI) > Federal Research Institute for Rural Areas, Forestry and Fisheries > > >]
Buchmann, Nina [ETH Zurich, Institute of Plant, Animal and Agroecosystem > > > >]
Eugster, Werner [ETH Zurich, Suisse > Institute of Plant, Animal and Agroecosystem > > >]
Dietiker, Dominique [ETH Zurich, Institute of Plant, Animal and Agroecosystem > > > >]
Aubinet, Marc mailto [Université de Liège - ULg > Sciences et technologie de l'environnement > Physique des bio-systèmes >]
Ceschia, Eric [CESBIO - Université de Toulouse > UPS, CNES, CNRS, IRD > > >]
Béziat, Pierre [CESBIO - Université de Toulouse > UPS, CNES, CNRS, IRD > > >]
Grünwald, Thomas [Technical University Dresden, Institute of Hydrology and Meteorology > Department of Meteorology > > >]
Hastings, Astley [University of Aberdeen, Institute of Biological and Environmental Sciences > > > >]
Osborne, Bruce [University College Dublin > UCD School of Biology and Environmental Science > > >]
Ciais, Philippe [Laboratoire des Sciences du Climat et de l’Environnement (LSCE/IPSL) CEA-CNRS-UVSQ > > > >]
Cellier, Pierre [Agroscope Reckenholz-Tänikon Research Station ART, Air Pollution/Climate Group > > > >]
Smith, Pete [University of Aberdeen, Institute of Biological and Environmental Sciences > > > >]
15-Nov-2010
Agriculture, Ecosystems & Environment
Elsevier Science
139
3
419-453
Yes (verified by ORBi)
International
0167-8809
Amsterdam
The Netherlands
[en] Cropland ; Crop ; Eddy flux ; Carbon ; CO2 ; Modelling
[en] 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 theDNDC,ORCHIDEESTICS, 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 evapotranspiration (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 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 PAshowthe 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.
Researchers ; Professionals
http://hdl.handle.net/2268/41132

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