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.