한국환경복원기술학회지 (Journal of the Korean Society of Environmental Restoration Technology)

  • 제24권5호
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  • Pages.1-14
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  • 2021
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  • 1229-3032(pISSN)
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  • 2733-5011(eISSN)
한국환경복원기술학회 (The Korea Society of Environmental Restoration Technology)
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HSI와 MaxEnt를 통한 삵의 서식지 예측 모델 비교 연구

A Comparative Study on HSI and MaxEnt Habitat Prediction Models: About Prionailurus bengalensis

  • 유다영 (단국대학교 환경원예.조경학과) ;
  • 임태양 (단국대학교 환경원예.조경학과) ;
  • 김휘문 (단국대학교 환경원예.조경학과) ;
  • 송원경 (단국대학교 환경원예.조경학부)
  • Yoo, Da-Young (Dept. of Environmental Horticulture and Landscape Architecture, Dankook University) ;
  • Lim, Tai-Yang (Dept. of Environmental Horticulture and Landscape Architecture, Dankook University) ;
  • Kim, Whee-Moon (Dept. of Environmental Horticulture and Landscape Architecture, Dankook University) ;
  • Song, Won-Kyong (School of Environmental Horticulture and Landscape Architecture, Dankook University)
  • 투고 : 2021.01.20
  • 심사 : 2021.10.17
  • 발행 : 2021.10.31
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초록

Excessive development and urbanization have destroyed animal, plant, habitats and reduced biodiversity. In order to preserve species diversity, habitat prediction studies are have been conducted at home and overseas using various modeling techniques. This study was conducted to suggest optimal habitat modeling research by comparing HSI and MaxEnt, which are widely used among habitat modeling techniques. The study was targeted on the endangered species of Prionailurus bengalensis in nearby areas (5460.35km2) including Cheonan City, and the same data were used for analysis to compare those models. According to the HSI analysis, Prionailurus bengalensis's habitat probability was 74.65% for less than 0.5 and 25.34% for more than 0.5 and the top 30% were forest (99.07%). MaxEnt's analysis showed that 56.22% of those below 0.5 and 43.79% of those above 0.5 were found to have a high explanatory power of 78.3% of AUC. The Paired Wilcoxn test, which evaluated the significance of thoes models, confirmed that the mean difference between the two models was statistically significant (p<0.05). Analysis of the differences in the results of those models using the matrix table shows that score 24.43% HSI and MaxEnt was accordance,12.44% of the 0.0 to 0.2 section, 7.22% of the 0.2 to 0.4 section, 2.73% of the 0.4 to 0.6 section, 1.96% of the 0.6 to 0.8, and 0.08% of the 0.9 to 1.0. To verify where the score difference appears, the result values of those models were reset to values from 1 to 5 and overlaid. Overlapping analysis resulted in 30.26% of the Strongly agree values, 56.77% of the agree values, and 11.92% of the Disagree values. The places where the difference in scores occurs were analyzed in the order of forest (45.23%), agricultural land (34.57%), and urbanization area (7.65%). This confirmed that the analysis of the same target species within the same target site also has differences in forecasts depending on the modelling method. Therefore, a novel analysis method combining the advantages of each modeling in habitat prediction studies should be developed, and future study may be used to select Prionailurus bengalensis and species-protected areas and species protection areas in the future. Further research is judged to require higher accuracy studies through the use of various modeling techniques and on-site verification.

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과제정보

이 논문은 환경부의 재원으로 한국환경산업기술원의 "도시생태 건강성 증진 기술개발사업의 지원을 받아 연구되었습니다. (2019002770001)"

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