[논문]HSI와 MaxEnt를 통한 삵의 서식지 예측 모델 비교 연구

유다영; 임태양; 김휘문; 송원경

doi:10.13087/kosert.2021.24.5.1

HSI와 MaxEnt를 통한 삵의 서식지 예측 모델 비교 연구
A Comparative Study on HSI and MaxEnt Habitat Prediction Models: About Prionailurus bengalensis 원문보기

環境復元綠化 = Journal of the Korean Society of Environmental Restoration Technology, v.24 no.5, 2021년, pp.1 - 14

유다영 (단국대학교 환경원예.조경학과) , 임태양 (단국대학교 환경원예.조경학과) , 김휘문 (단국대학교 환경원예.조경학과) , 송원경 (단국대학교 환경원예.조경학부)

Abstract ▼ AI-Helper

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.

주제어

표/그림 (10)

그림 Figure 1. Study area and Land cover rate
표 Table 1. Study area and Land cover rate
그림 Figure 2. Flow Chart
표 Table 2. Environmental variables and data processing
그림 Figure 3. Environment variables used in the species distribution model in HSI, MaxEnt
그림 Figure 4. Results of HSI Habitat Prediction Model
그림 Figure 5. Results of MaxEnt Habitat Prediction Model
그림 Figure 6. HSI and MaxEnt Score Comparison Plot of score differences
표 Table 3. Comparison of HSI and MaxEnt scores through matrix tables
표 Table4. HSI and MaxEnt Comparison table of score differences

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