Abstract Mapping hotspots of negative human–wildlife interactions and understanding environmental drivers of crop raiding and livestock predation risk provide a foundation to work towards coexistence between people and wildlife. In this study, the binomial linear regression model was applied utilizing the dredge function to develop crop raiding and livestock predation models for risk mapping in the communities around Doma Safari Area. The Akaike Information Criterion was utilized to determine the significant drivers of crop raiding and livestock predation. Results showed that the communities located adjacent to the park are high‐risk areas for crop raiding and livestock predation. Findings also depicted that four out of the eight selected environmental predictors contributed significantly to the variation in both crop raiding and livestock predation ( p < 0.05). The variables include protected area boundary distance, settlement distance, vegetation cover (as represented by the Normalized Difference Vegetation Index NDVI) and water point distance. Among the four predictors that significantly contributed to the model, only NDVI exhibited a positive correlation with the risk of crop raiding and livestock predation. Practical Implication . Findings from this study are critical in guiding the development and implementation of proactive conflict interventions to effectively deal with crop raiding and livestock predation.
Mawere et al. (Thu,) studied this question.