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Selection Method for Installation of Reduction Facilities to Prevention of Roe Deer(Capreouls pygargus) Road-kill in Jeju Island

제주도 노루 로드킬 방지를 위한 저감시설 대상지 선정방안 연구

  • 김민지 (고려대학교 환경생태공학과) ;
  • 장래익 (고려대학교 오정리질리언스센터) ;
  • 유영재 (고려대학교 오정리질리언스센터) ;
  • 이준원 (제주연구원) ;
  • 송의근 (국립생태원) ;
  • 오홍식 (제주대학교 생물교육전공) ;
  • 성현찬 (고려대학교 오정리질리언스센터) ;
  • 김도경 ((주)이쓰리) ;
  • 전성우 (고려대학교 환경생태공학부)
  • Received : 2023.08.14
  • Accepted : 2023.10.19
  • Published : 2023.10.30

Abstract

The fragmentation of habitats resulting from human activities leads to the isolation of wildlife and it also causes wildlife-vehicle collisions (i.e. Road-kill). In that sense, it is important to predict potential habitats of specific wildlife that causes wildlife-vehicle collisions by considering geographic, environmental and transportation variables. Road-kill, especially by large mammals, threatens human safety as well as financial losses. Therefore, we conducted this study on roe deer (Capreolus pygargus tianschanicus), a large mammal that causes frequently Road-kill in Jeju Island. So, to predict potential wildlife habitats by considering geographic, environmental, and transportation variables for a specific species this study was conducted to identify high-priority restoration sites with both characteristics of potential habitats and road-kill hotspot. we identified high-priority restoration sites that is likely to be potential habitats, and also identified the known location of a Road-kill records. For this purpose, first, we defined the environmental variables and collect the occurrence records of roe deer. After that, the potential habitat map was generated by using Random Forest model. Second, to analyze roadkill hotspots, a kernel density estimation was used to generate a hotspot map. Third, to define high-priority restoration sites, each map was normalized and overlaid. As a result, three northern regions roads and two southern regions roads of Jeju Island were defined as high-priority restoration sites. Regarding Random Forest modeling, in the case of environmental variables, The importace was found to be a lot in the order of distance from the Oreum, elevation, distance from forest edge(outside) and distance from waterbody. The AUC(Area under the curve) value, which means discrimination capacity, was found to be 0.973 and support the statistical accuracy of prediction result. As a result of predicting the habitat of C. pygargus, it was found to be mainly distributed in forests, agricultural lands, and grasslands, indicating that it supported the results of previous studies.

Keywords

Acknowledgement

본 결과물은 환경부의 재원으로 한국환경산업기술원의 ICT기반 환경영향평가 의사결정 지원 기술개발사업의(2020002990009) 및 환경영향평가 의사결정 검토지원모델 이해당사자 맞춤형 시·공간 표출 활용 시스템개발(2020002990004)의 지원을 받아 연구되었습니다.

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