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남한의 생물기후권역 구분과 특성 규명

Bioclimatic Classification and Characterization in South Korea

  • 최유영 (고려대학교 환경생태공학과) ;
  • 임철희 (고려대학교 환경생태공학과) ;
  • 류지은 (고려대학교 환경 GIS/RS 센터) ;
  • ;
  • 강진영 (제주연구원) ;
  • ;
  • ;
  • 이우균 (고려대학교 환경생태공학과) ;
  • 전성우 (고려대학교 환경생태공학과)
  • Choi, Yu-Young (Dept. of Environmental Science and Ecological Engineering, Korea University) ;
  • Lim, Chul-Hee (Dept. of Environmental Science and Ecological Engineering, Korea University) ;
  • Ryu, Ji-Eun (Environmental GIS/RS Center, Korea University) ;
  • Piao, Dongfan (Dept. of Environmental Science and Ecological Engineering, Korea University) ;
  • Kang, Jin-Young (Jeju Research Institute) ;
  • Zhu, Weihong (Department of Geography, Yanbian University) ;
  • Cui, Guishan (Department of Geography, Yanbian University) ;
  • Lee, Woo-Kyun (Dept. of Environmental Science and Ecological Engineering, Korea University) ;
  • Jeon, Seong-Woo (Dept. of Environmental Science and Ecological Engineering, Korea University)
  • 투고 : 2017.02.28
  • 심사 : 2017.06.27
  • 발행 : 2017.06.30

초록

This study constructed a high-resolution bioclimatic classification map of South Korea which classifies land into homogeneous zones by similar environment properties using advanced statistical techniques compared to existing ecological area classification studies. The climate data provided by WorldClim(1960-1990) were used to generate 27 bioclimatic variables affecting biological habitats, and key environmental variables were derived from Correlation Analysis and Principal Component Analysis. Clustering Analysis was performed using the ISODATA method to construct a 30'(~1km) resolution bioclimatic classification map. South Korea was divided into 21 regions and the results of classification were verified by correlation analysis with the Gross Primary Production(GPP), Actual Vegetation map made by the Ministry of Environment. Each zones' were described and named by its environmental characteristics and major vegetation distribution. This study could provide useful spatial frameworks to support ecosystem research, monitoring and policy decisions.

키워드

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