http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
최유영 ( Choi Yu-young ),임철희 ( Lim Chul-hee ),류지은 ( Ryu J I-eun ),( Dongfan Piao ),강진영 ( Kang J In-young ),( Weihong Zhu ),( Guishan Cui ),이우균 ( Lee Woo-kyun ),전성우 ( Jeon Seong-woo ) 한국환경복원기술학회(구 한국환경복원녹화기술학회) 2017 한국환경복원기술학회지 Vol.20 No.3
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.