Drivers of human–tiger conflict risk and potential mitigation approaches

Abstract

Abstract Human–wildlife conflict has become a significant challenge for conservationists, particularly in areas where endangered species, such as large carnivores, are recovering. If we fail to keep a balance between the interests of humans and wildlife, the human–wildlife conflict can have adverse outcomes. However, the drivers of human–wildlife conflict, and how to mitigate conflict, are often poorly understood. In this study, we aimed to explore the possible causes for and potential mitigating approaches to human–tiger conflict risks through spatiotemporal niche partitioning. Based on data from the reports of Amur tiger (Panthera tigris altaica) preying on cattle and camera trap detection data from 2014 to 2019 in Hunchun, Northeast China, we predicted Amur tiger occurrence and created risk maps of human–tiger potential encounters. We found that Amur tiger occurrence was positively driven by prey distribution and negatively by the distribution of pastures used for domestic cattle grazing. Livestock was increasingly predated in areas with limited preferred prey, that is, wild pig (Sus scrofa) and sika (Cervus nippon), and in closer proximity to cattle‐grazing land. On the basis of our models, we divided areas utilized by human and Amur tigers into low‐, medium‐, and high‐risk areas across multiple spatiotemporal scales. We suppose that multiple spatiotemporal scale niche partitioning management might effectively reduce the risk of human–tiger encounters, prompt harmonized coexistence between humans and tigers, and provide new solutions to other areas experiencing human–wildlife conflicts.

Keywords

• Amur tiger
• domestic cattle grazing
• human–tiger conflict
• prey distribution
• spatiotemporal niche partitioning
• variance inflation factor