The synergistic impact of socioeconomic and landscape factors on spatial patterns of human-wildlife conflicts

Abstract

With the expansion of human activities and increasingly effective protection of biodiversity, human-wildlife conflicts (HWCs) are increasing. Determining the patterns and causes of HWCs at the landscape scale is important for the design and implementation of effective management actions. We used in-house questionnaires, combined with data from insurance companies and other sources, to take the Tibetan Plateau as an example to reveal the pattern and potential causes of HWCs. Livestock predation and house break-ins were the most common types of conflict on the plateau, and wolves (Canis lupus) (56.9 %) and bears (Ursus arctos) (35.8 %) were the main culprits. In the pastoral zone, 65.3 % of conflicts were caused by wolves, more than in other regions, and bears accounted for 20.8 %. Bears were responsible for house break-ins in crop-dominated zones (60.5 %), while they preyed on livestock in mixed crop and pasture zones (80.0 %). Differences in forest cover between regions are likely to be the cause of this, with bears preying more on livestock in areas with greater forest cover. Livestock loss caused by wolves increased, and those caused by bears decreased, with increase in elevation. Households with more livestock experienced a greater incidence of HWCs. Livestock losses were lower in counties with higher gross regional product per capita, and economic development likewise influenced the occurrence of HWCs. Our research findings provide a fundamental understanding of the patterns of HWC, which can inform the development of evidence-based policies and strategies for effectively addressing HWCs in the future.