Model driven reverse engineering for a grassland model with design of experiments in the context of climate change

  • Authors:

  • Romain Lardy;Anne-Isabelle Graux;Michaël Gaurut;Gianni Bellocchi;David R. C. Hill

  • Affiliations:

  • Grassland Ecosystem Research Unit, French National Institute for Agricultural, Clermont-Ferrand, France and Université Blaise Pascal, Limos and ISIMA, Computer Science & Modelling Institute, ...;Grassland Ecosystem Research Unit, French National Institute for Agricultural, Clermont-Ferrand, France;Grassland Ecosystem Research Unit, French National Institute for Agricultural, Clermont-Ferrand, France;Grassland Ecosystem Research Unit, French National Institute for Agricultural, Clermont-Ferrand, France;Clermont Université, BP, Clermont-Ferrand and Université Blaise Pascal, Limos and ISIMA, Computer Science & Modelling Institute, BP

  • Venue:
  • Proceedings of the 2011 Grand Challenges on Modeling and Simulation Conference
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.