As the human population continues increasing rapidly and climate change accelerates, resource depletion is becoming an international problem. Community-based natural resource management (CBNRM) has been suggested as a method to conserve resources while simultaneously empowering traditionally marginalized communities. Because classical equation-based modeling methods fail to capture the complexity of CBNRM, Agent-Based Modeling (ABM) has emerged as a primary method of modeling these systems. In this investigation, we conduct a sensitivity analysis and thorough evaluation of an existing ABM of community forest management. We then modify the original model by providing a new enforcement mechanism that improves the validity of both the conceptual foundation and emergent behaviors of the model. We finish by conducting a second sensitivity analysis and evaluation of the new model. While this model remains imperfect, we hope future work will be able to use the model to build a greater understanding of CBNRM and apply this understanding to help propagate successful CBNRM systems around the world.


Long, Colby




Natural Resources Management and Policy | Other Applied Mathematics


community-based natural resource management, agent-based modeling, environment, natural resources, conservation, sustainability, resource policy, sensitivity analysis, CBNRM

Publication Date


Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis Exemplar



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