A Study on the Ecosystem Services Value Assessment According to City Development: In Case of the Busan Eco-Delta City Development

도시개발에 따른 생태계서비스 가치 평가 연구: 부산 에코델타시티 사업을 대상으로

  • Choi, Jiyoung (Dept. of Environmental Science and Engineering, Ewha University) ;
  • Lee, Youngsoo (Korea Environment Institute (KEI)) ;
  • Lee, Sangdon (Dept. of Environmental Science and Engineering, Ewha University)
  • 최지영 (이화여자대학교 환경공학과) ;
  • 이영수 (한국환경정책.평가연구원) ;
  • 이상돈 (이화여자대학교 환경공학과)
  • Received : 2019.03.07
  • Accepted : 2019.08.06
  • Published : 2019.10.31


Natural environmental ecology ofthe environmental impact assessment(EIA)is very much lacking in quantitative evaluation. Thus, this study attempted to evaluate quantitative assessment for ecosystem service in the site of Eco-delta project in Busan. As a part of climate change adaptation, this study evaluated and compared with the value for carbon fixation and habitat quality using the InVEST model before and after development with three alternatives of land-use change. Carbon fixation showed 216,674.48 Mg of C (year 2000), and 203,474.25 Mg of C (year 2015)reducing about 6.1%, and in the future of year 2030 the value was dropped to 120,490.84 Mg of C which is 40% lower than year 2015. Alternative 3 of land use planning was the best in terms of carbon fixation showing 6,811.31 Mg of C. Habitat quality also changed from 0.57 (year 2000), 0.35 (year 2015), and 0.21 (year 2030) with continued degradation as development goes further. Alternative 3 also was the highest with 0.21(Alternative 1 : 0.20, Alternative 2 : 0.18). In conclusion,this study illustrated that quantitative method forland use change in the process of EIA can helpdecision making for stakeholders anddevelopers with serving the best scenario forlow impact of carbon. Also it can help better for land use plan, greenhouse gas and natural environmental assets in EIA. This study could be able to use in the environmental policy with numerical data of ecosystem and prediction. Supplemented with detailed analysis and accessibility of basic data, this method will make it possible for wide application in the ecosystem evaluation.


Supported by : 한국연구재단, 서울녹색환경지원센터


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