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

The Korea Society of Environmental Restoration Technology (한국환경복원기술학회)
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Species Distribution Modeling of Endangered Mammals for Ecosystem Services Valuation - Focused on National Ecosystem Survey Data -

생태계 서비스 가치평가를 위한 멸종위기 포유류의 종분포 연구 - 전국자연환경조사 자료를 중심으로 -

  • 전성우 (한국환경정책.평가연구원) ;
  • 김재욱 (한국환경정책.평가연구원) ;
  • 정휘철 (한국환경정책.평가연구원) ;
  • 이우균 (고려대학교 환경생태공학부) ;
  • 김준순 (강원대학교 산림경영학과)
  • Received : 2013.12.19
  • Accepted : 2014.01.05
  • Published : 2014.02.28
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Abstract

The provided habitat of many services from natural capital is important. But because most ecosystem services tools qualitatively evaluated biodiversity or habitat quality, this study quantitatively analyzed those aspects using the species distribution model (MaxEnt). This study used location point data of the goat(Naemorhedus caudatus), marten(Martes flavigula), leopard cat(Prionailurus bengalensis), flying squirrel(Pteromys volans aluco) and otter(Lutra lutra) from the 3rd National Ecosystem Survey. Input data utilized DEM, landcover classification maps, Forest-types map and digital topographic maps. This study generated the MaxEnt model, randomly setting 70% of the presences as training data, with the remaining 30% used as test data, and ran five cross-validated replicates for each model. The threshold indicating maximum training sensitivity plus specificity was considered as a more robust approach, so this study used it to conduct the distribution into presence(1)-absence(0) predictions and totalled up a value of 5 times for uncertainty reduction. The test data's ROC curve of endangered mammals was as follows: growing down goat(0.896), otter(0.857), flying squirrel(0.738), marten(0.725), and leopard cat(0.629). This study was divided into two groups based on habitat: the first group consisted of the goat, marten, leopard cat and flying squirrel in the forest; and the second group consisted of the otter in the river. More than 60 percent of endangered mammals' distribution probability were 56.9% in the forest and 12.7% in the river. A future study is needed to conduct other species' distribution modeling exclusive of mammals and to develop a collection method of field survey data.

Keywords

References

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