Learning Locally: Participatory Methods for Agent-Based Conservation Models of Carnivores

Agent-based models require behavioral rules that telemetry alone cannot provide. We developed an 80-question framework to elicit these rules from conservation practitioners through structured workshops. Applied to tiger conservation in the Terai Arc Landscape, practitioner input shaped the architecture of BaghSim, which reproduced key empirical patterns without population-level calibration.