Abstract for: Using Microworlds for Resilience Management of Food Systems

Resilience management of food systems requires building understanding of the underlying drivers of systems adaptive capacity. We argue that system dynamics models and simulations can be used to inform discussions aiming to such resilience by providing interactive environments to experiment with different policies. We make this argument based on our experience analysing the key structures conditioning the response of beef farming systems in France to climate change effects. The analysis illustrate how small and aggregated system dynamics models can foster understanding about mechanisms driving resilience by facilitating discussions about its drivers, opportunities for intervention and their trade-offs.