Identifying the Risk Regions of Wild Boar (Sus scrofa) Incidents in China.

ABSTRACT: The objectives of this study were to identify the risk regions of wild boar incidents in China and to draw a risk map. Risk maps can be used to plan the prioritization of preventive measures, increasing management effectiveness from both a short- and a long-term perspective. We used a web crawler (web information access technology) to obtain reports of wild boar incidents from China's largest search engine (Baidu) and obtained 196 valid geographic locations of wild boar incidents from the reports. Subsequently, a system of environmental variables-with climate, topography, landscape, and human disturbance as the main variable types-was constructed, based on human-land-system thinking. Finally, the Maxent model was applied to predict the risk space of wild boar incidents in China by integrat

SUBMITTER: Zheng B 

PROVIDER: S-EPMC10603701 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature