Abstract for: Towards Sustainable and Resilient Farming Systems: Agent-Based Modelling of Agroforestry and Mixed Farming

Enhancing the sustainability and resilience of farming systems is paramount for addressing global food security and environmental challenges. Agroecology, including practices like agroforestry and mixed farming, offers promising solutions. However, assessing the impacts and effectiveness of agroecological policies remains a challenge. We propose an agent-based modelling (ABM) approach to simulate land use dynamics and policy impacts in the farm level. Our model explores how different policies influence land use allocation, aiming to identify optimal strategies for promoting agroforestry and mixed farming. Additionally, we assess regional resilience to climate events and socio-economic stressors. Leveraging the Modelling Human Behaviour framework, our research integrates social science theories into decision-making processes. A preliminary version of our AF/MF-ABM model is developed, emphasizing agents' roles in the agroecological transition. Ongoing work involves refining decision rules and incorporating economic dynamics. Ultimately, our model seeks to inform policy decisions and facilitate the transition towards sustainable agricultural practices across Europe.