Simulating Human Agropastoral Activities Using Hybrid Agent-Landscape Modeling: A Multidisciplinary Approach H. Sarjoughian, G. Mayer, E. Allen Mediterranean Landscape Dynamics Project (MEDLAND) Objectives: • Studies the effects of agropastoral activities on landscapes and societies from the Neolithic through the Bronze Age in the Mediterranean Basin. Investigate three primary themes of human landuse: • International, interdisciplinary team: researchers from the United States, Spain, and Jordan in the disciplines of Anthropology, Geology, Geography, and Computer Science and Engineering are collaboratively studying the long-term dynamics of human land use in the Mediterranean Basin. Human Model • A human household is represented as an agent • Households are grouped into villages • Households have goals, requirements based upon population, and the ability to manage some resources • Household actions impact the surrounding landscape (e.g., deforesting to plant crop increases soil erosion) Interaction Model • Relations between agents and landscape dynamics are represented in a rigorous and flexible fashion • Connects agent and landscape models from both the formalism and software viewpoints • Unified user interface for simulation control and data display 1.The effects of growth in agropastoral economies on biodiversity, 2.Subsequent land use intensification and diversification and its impacts on landscape vulnerability and resilience, and 3.Studying the sustainability of human-maintained ecosystems. Approach: Model and simulate agent and landscape dynamics separately and synthesize them to understand their complex interactions. agent Challenges interactions •Correctness Agent DEVS Models •Resolution vs Scale •Computing Resources •Synchronization Environment Model • Landscape and climate elements (e.g., soil, slope, and precipitation data) • Landscape / climate dynamics • Changing environment impacts the agents (e.g., decreased soil quality produces a reduced crop yield) landscape •Visualization Data Transformation + Control Models Cellular GRASS Models Supported by the National Science Foundation ERE Biocomplexity in the Environment program http://www.asu.edu/clas/shesc/projects/medland/ Collaborating Schools at ASU: Earth and Space Exploration, Geographical Sciences, and Human Evolution & Social Change