A ERSF-VIPA framework: scalable wildlife movement modelling for conflict mitigation.

ABSTRACT: 1. Effective conservation planning and conflict mitigation can hinge on accurately modelling wildlife movement paths (WMPs), yet progress is hindered by both a shortage of reliable methods and limited data. The critical challenge, therefore, is to devise limited-data models that faithfully reproduce elusive species' movements and deliver actionable insights for human-wildlife conflict management. 2. We introduce the Enhanced Resource Selection Function-Vector-network Iterative Pathfinding Algorithm (ERSF-VIPA), a novel framework for simulating WMPs with limited data. Drawing on historical occurrence records of Asian elephants (Elephas maximus), we assume individuals make rational, goal-driven decisions based on local environmental knowledge. The ERSF employs a random forest on a hexagonal

SUBMITTER: Chen X 

PROVIDER: S-EPMC12574237 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature