Model driven reverse engineering for a grassland model with design of experiments in the context of climate change.
Lardy , Romain (INRA , Clermont-Ferrand (France). UR 0874 Unité de recherche sur l'Ecosystème Prairial ) | Graux , Anne-Isabelle (INRA , Clermont-Ferrand (France). UR 0874 Unité de recherche sur l'Ecosystème Prairial ) | Gaurut , Michael (INRA , Clermont-Ferrand (France). UR 0874 Unité de recherche sur l'Ecosystème Prairial ) | Bellocchi , Gianni (INRA , Clermont-Ferrand (France). UR 0874 Unité de recherche sur l'Ecosystème Prairial ) | Hill , David (Centre National de la Recherche Scientifique, Clermont-Ferrand(France).)
Vulnerability is the degree to which human and environmental systems are likely to experience harm due to a perturbation or stress. In the study of climate change impacts on grassland, we have run various experimental plans and with a reverse engineering approach we build the models of our design of experiments. This modelling helps identifying a common pattern seen as a metamodel to which parts of our models can be conformed to. The Model Driven Engineering approach will help us to propose a software framework that will deal with the distribution of experimental plans under vulnerability constraints.
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