$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

[국내논문] 환경공간정보와 InVEST Carbon 모형을 활용한 탄소저장량 추정 방법에 관한 연구: 세종시를 중심으로 - 생태·자연도, 국토환경성평가지도, 도시생태현황지도를 대상으로 -
A Study on the Estimation Method of Carbon Storage Using Environmental Spatial Information and InVEST Carbon Model: Focusing on Sejong Special Self-Governing City - Using Ecological and Natural Map, Environmental Conservation Value Assessment Map, and Urban Ecological Map - 원문보기

環境復元綠化 = Journal of the Korean Society of Environmental Restoration Technology, v.25 no.5, 2022년, pp.15 - 27  

황진후 (고려대학교 오정리질리언스센터) ,  장래익 (고려대학교 오정리질리언스센터) ,  전성우 (고려대학교 환경생태공학부)

Abstract AI-Helper 아이콘AI-Helper

Climate change is considered a severe global problem closely related to carbon storage. However, recent urbanization and land-use changes reduce carbon stocks in terrestrial ecosystems. Recently, the role of protected areas has been emphasized as a countermeasure to the climate change, and protected...

주제어

표/그림 (5)

참고문헌 (28)

  1. Campbell A.Dickson B.Gibbs H.Hansen M.Kapos V.Lysenko I.Miles L and Scharlemann J. 2009. The role of protected areas in storing carbon and reducing emissions. Iop Conference Series: Earth and Environmental Science 6(25): 1-2. 

  2. Choi CH.Lim CH.Lee SJ and Seo HJ. 2019. The Impact of Anthropogenic Land Cover Change on Degradation of Grade in Ecology and Nature Map: Journal of the Korean Society of Environmental Restoration Technology 22(6): 77-87. (in Korean with English Summary) 

  3. Chung MG.Kang H and Choi SU. 2015. Assessment of Coastal Ecosystem Services for Conservation Strategies in South Korea. PLOS ONE 10(7): e0133856. 

  4. Dudley N and Philips A. 2006. Forests and protected areas : guidance on the use of the IUCN protected area management categories. IUCN, Gland, Switzerland and Cambridge, UK. 

  5. Foley JA.DeFries R.Asner GP.Barford C.Bonan G.Carpenter SR.Chapin FS.Coe MT.Daily GC.Gibbs HK.Helkowski JH.Holloway T.Howard EA.Kucharik CJ.Monfreda C.Patz JA.Prentice IC.Ramankutty N and Snyder PK. 2005. Globan Consequences of Land Use. Science 309 (5734): 570-574. 

  6. Gonzalez P.Asner G.Battles J.Lefsky M.Waring K and Palace M. Forest carbon densities and uncertainties from Lidar, QuickBird, and field measurements in California. Remote Sensing of Environment 114: 1561-1575. 

  7. He CY.Zhang D.Huang QX and Zhao YY. 2016. Assessing the potential impacts of urban expansion on regional carbon storage by linking the LUSD-urban and InVEST models. Environmental Modelling & Software 75: 44-58. 

  8. Hwang JH.Choi YY.Kim YJ.Lim NO.Yoo YJ.Cho HJ.Sun ZM and Jeon SW. 2021a. Analysis of the effect of environmental protected areas on land-use and carbon storage in a megalopolis. Ecological Indicators 133: 108352. 

  9. Hwang JH.Choi YY.Yoo YJ.Sun ZM.Cho HJ.Jeon SW. 2021b. Analysis of Land Use Changes and Carbon Storage by Region under the Seoul Metropolitan Area Readjustment Planning Act Using the InVEST Carbon Model. Journal of Climate Chagne Research 12(5-1): 523-535 (in Korean with English summary) 

  10. Hwang JH.Jang RI and Jeon SW. 2019. Redefine Scope of Protected Zone in Act on the Management and Improvement of Carbon Sink Article 10. Journal of Climate Change Research 10(4): 291-297. (in Korean with English Summary) 

  11. Jiang WG.Deng Y.Tang ZH.Lei X and Chen Z. 2017. Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models. Ecological Modelling 345: 30-40. 

  12. Jung JH and Kwon OY. 2014. GHG-AP Integrated Sink/Emission Inventories and Environmental Value Analysis in Vegetation Sector of Seoul. Journal of Korean Society for Atmospheric Environment 31(1): 72-82 (in Korean with English Summary) 

  13. Kim GH.Kim OS and Yoon JH. 2019. Urban Expansion Prediction Using Spatial DBMS Based Environmental Conservation Value Assessment Map. Journal of the Korean Cartographic Association 19(3): 35-42. (in Korean with English Summary) 

  14. Kim GH.Lee EJ.Yoon JH.Lee JH and Hwang SY. 2018a. Evaluation of Land Use Management Grade Using Environmental Conservation Value Assessment Map (ECVAM) and Restriction on Acts of Use District. Journal of the association of Korean geographers, 7(3): 479-488. (in Korean with English Summary) 

  15. Kim YH.Choi JY.Yoon JH.Kim OS and Kim GH. 2018b. Applicability Study on 1:5,000 Environmental Conservation Value Assessment Map (ECVAM) Using Precise Forest Type Map. Journal of the association of Korean geographers 7(1): 115-128. (in Korean with English Summary) 

  16. Kwon JO.Park SC and Baek SA. 2021. A study on the utilization of biotope map in urban planning. Journal of the Korean Society of Environmental Restoration Technology 24(4): 31-46. (in Korean with English Summary) 

  17. Lee CH. 2016. An Integrated Approach to Environmental Valuation. Sejong, Korea: Korea Environmental Institute. Policy Report 2016-10. 

  18. Lee GH. 2008. Expansion of Carbon Absorption Sources in preparation for Post-2012 System. Planning and Policy 318: 18-25. (in Korean with English Summary) 

  19. Li L.Song Y.Wei XH and Dong J. 2020. Exploring the impacts of urban growth on carbon storage under integrated spatial regulation: A case study of Wuhan, China. Ecological Indicators 111: 9. 

  20. Lumbres RIC and Lee YJ. 2014. Aboveground biomass mapping of La Trinidad forests in Benguet, Philippines, using Landsat Thematic Mapper data and k-nearest neighbor method. Forest Science and Technology 10(2): 104- 111. 

  21. Lyu RF.Mi LN.Zhang JM.Xu MQ and Li JJ. 2019. Modeling the effects of urban expansion on regional carbon storage by coupling SLEUTH-3r model and InVEST model. Ecological Research 34(3): 380-393. 

  22. Meng Q.Cieszewski and Madden M. 2009. Large area forest inventory using Landsat ETM+: A geostatistical approach. ISPRS Journal of Phgotogrammetry and Remote Sensing 64(1): 27-36. 

  23. Rana P.Gautam B and Tokola T. 2016. Optimizing the number of training areas for modeling above-ground biomass with ALS and multispectral remote sensing in subtropical Nepal. International Journal of Applied Earth Observation and Geoinformation 49: 52-62. 

  24. Schlund M.Scipal K and Davidson MWJ. 2017. Forest classifciation and impact of BIOMASS resolution on forest area and aboveground biomass estimation. International Journal of Applied Earth Observation and Geoinformation 56: 65-76. 

  25. Sejong Special Self-Governing City. 2019. Sejong Special Self-Governing City Urban Ecological Map Construction Research Service. Research report to Sejong Special Self-Governing City. (in Korean) 

  26. Song WK.Kim EY.Jeon SW.Park SH and Lee J. 2012. Improvement of the Criteria on Naturalness of the Environmental Conservation Value Assessment Map (ECVAM). Journal of the Korean Society of Environmental Restoration Technology 15(2): 31-40. (in Korean with English Summary) 

  27. Suwon City. 2019. Suwon City Natural Environment Survey and Urban Ecological Map Update. Research report to Suwon City. (in Korean) 

  28. Yun HY. 2005. A Study on the Legal and Institutional Improvement Strategies by Kyoto-Protocol in Forest Sector. Environmental Law Review, 27(4): 185-204 (in Korean with English Summary) 

저자의 다른 논문 :

관련 콘텐츠

오픈액세스(OA) 유형

FREE

Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문

이 논문과 함께 이용한 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로