Agent-Based Modeling in Coupled Human and Natural Systems (CHANS): Lessons from a Comparative Analysis

Agent-based modeling (ABM) offers significant potential for understanding coupled human and natural systems (CHANS), particularly in capturing complex dynamics such as feedback loops, nonlinearity, and resilience. However, the lack of standardized infrastructure limits comparability across studies. This study advances CHANS research by developing a protocol based on the ODD framework to standardize ABM documentation and comparison. Through a comparative analysis of two renowned CHANS—Wolong Nature Reserve in China and Chitwan National Park in Nepal—the researchers identify four key lessons: representing agents and landscapes, the need for standardized modules, the impact of scheduling on model outcomes, and interpreting 'surprises' in model results. This protocol aims to enhance the comprehension, comparison, and envisioning of CHANS processes, ultimately advancing the science of CHANS.

An, L., Zvoleff, A., Liu, J., & Axinn, W. (2014). Agent-Based Modeling in Coupled Human and Natural Systems (CHANS): Lessons from a Comparative Analysis. Annals of the Association of American Geographers, 104(4), 723–745. https://doi.org/10.1080/00045608.2014.910085