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Analysis of Influential Factors of Roadkill Occurrence - A Case Study of Seorak National Park -
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 Title & Authors
Analysis of Influential Factors of Roadkill Occurrence - A Case Study of Seorak National Park -
Son, Seung-Woo; Kil, Sung-Ho; Yun, Young-Jo; Yoon, Jeong-Ho; Jeon, Hyung-Jin; Son, Young-Hoon; Kim, Min-Sun;
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This study aimed to interpret the fundamental cause of road-kill occurrences and analyzed spatial characteristics of the road-kill locations from Route 44 in Seorak National Park, Korea. Logistic regression analysis was utilized for backward elimination on variables. Seorak National Park Service has constructed GIS-data of 81 road-kill occurrences from 2008 to 2013 and these data were assigned as dependent variables in this study. Considered as independent variables from previous studies and field surveys, vegetation age-class, distance to streams, coverage of fences and retaining walls, and distance to building sites were assigned as road-kill impact factors. The coverage of fences and retaining walls(-1.0135) was shown as the most influential factor whereas vegetation age-class(0.0001) was the least influential among all of the significant factor estimates. Accordingly, the rate of road-kill occurrence can increase as the distance to building sites and stream becomes closer and vegetation age-class becomes higher. The predictive accuracy of road-kill occurrence was shown to be 72.2% as a result of analysis, assuming as partial causes of road-kill occurrences reflecting spatial characteristics. This study can be regarded as beneficial to provide objective basis for spatial decision making including road-kill occurrence mitigation policies and plans in the future.
Logistic Regression Model;Ecological Corridor;Coverage of Fence and Retaining Wall;Predictive Accuracy;
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