Performances of two crop models in various conditions: the importance of underlying assumptions - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Communication Dans Un Congrès Année : 2009

Performances of two crop models in various conditions: the importance of underlying assumptions

Résumé

APES, a modular model was developed in the SEAMLESS project (Van Ittersum et al., 2008) to assess, in different EU regions, the impact of farm management on crop production and environmental externalities. Such purpose assumes the capability of APES to simulate cropping systems in a wide range of climate, soil and crop management. The main topic of this study is to evaluate APES, under different stresses and management practices (temperature, water and nitrogen), to simulate crop production and nitrogen and water dynamics. For this evaluation, APES was compared to the CropSyst (Stöckle et al., 2003) model (widely evaluated and used under different biophysical conditions and management practices). An explicit description of the limitations and specificities of each modelling approach is related to the behaviour of each model in different situations.
Fichier principal
Vignette du fichier
Publis009-syst-086_Belhouchette_AgSap_Performances two crop model underlying assumptions_1.pdf (48.81 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02758121 , version 1 (04-06-2020)

Identifiants

Citer

Hatem Belhouchette, M. Adam, Eric Casellas, Florian Celette, Marc Corbeels, et al.. Performances of two crop models in various conditions: the importance of underlying assumptions. Integrated Assessment of Agriculture and Sustainable Development (AgSAP), Mar 2009, Egmond aan Zee, Netherlands. ⟨hal-02758121⟩
92 Consultations
18 Téléchargements

Partager

More