Classification of Forest Vegetation Zone over Southern Part of Korean Peninsula Using Geographic Information Systems

環境因子의 空間分析을 통한 南韓지역의 山林植生帶 구분/지리정보시스템(GIS)에 의한 접근

  • Published : 1996.10.01

Abstract

There are several environmental variables that may be influential to the spatial distribution of forest vegetation. To create a map of forest vegetation zone over southern part of Korean Peninsula, digital map layers were produced for each of environmental variables that include topography, geographic locations, and climate. In addition, an extensive set of field survey data was collected at relatively undisturbed forests and they were introduced into the GIS database with exact coordinates of survey sites. Preliminary statistical analysis on the survey data showed that the environmental variables were significantly different among the previously defined five forest vegetation zones. Classification of the six layers of digital map representing environmental variables was carried out by a supervised classifier using the training statistics from field survey data and by a clustering algorithm. Although the maps from two classifiers were somewhat different due to the classification procedure applied, they showed overall patterns of vertical and horizontal distribution of forest zones. considering the spatial contents of many ecological studies, GIS can be used as an important tool to manage and analyze spatial data. This study discusses more about the generation of digital map and the analysis procedure rather than the outcome map of forest vegetation zone.

Keywords

References

  1. 한국환경기술개발원 기술현황분석 보고서. KETRI/1993/AR-09 우리 나라의 자연 환경 현황 분석 연구 김종원
  2. 한국임학회지 v.81 지형-기후 관계식에 의한 제주도의 월별 기온분포의 추정 신만용;윤진일
  3. 월간 임업정보 v.58 우리 나라의 생태지역 구분 신준환
  4. 임연연보 v.44 점봉산 천연림 지역의 식생군락분류 및 임분구조 이변천;이경재;이창석;신준환
  5. 임연연보 v.49 덕유산 천연림지역 식생의 군락분류 및 임분구조 이병천;신준환
  6. 성대논문집 제 10편 한국삼림식물대 및 적지적수론 정태현;이우철
  7. J. Ecol. v.24 Nature and structure of the climax Clements, F.E.
  8. Quantitative Methods in Landscape Ecology (Ecological Studies 82) Intelligent geographic information systems for natural resource management Coulson, R.N.;C.N. Lovelady;R.O. Flamm;S.L. Spradling;M.C. Saunders;M.G. Turner(ed.);R.H. Gardner(ed.)
  9. Environmental Modeling with GIS Goodchild, M.F.;B.O. Parks;L.T. Steyaert
  10. Applied Multivariate Statistical Analysis Johnson, R.A.;D.W. Wichen
  11. Jour. of the Korean Society of Remote Sensing v.11 Spatial estimation of point observed environmental variables Lee, K.S. https://doi.org/10.7780/kjrs.1995.11.3.33
  12. Remote Sensing and Image Interpretation(3rd Ed.) Lillesand, T.M.;R.W. Kiefer
  13. Geographic Information Systems for Resource Management: A Compendium Ripple, W.J.
  14. Can. J. For. Res. v.14 The climate regions of New Brunswick: a multivariate analysis of meteorological data van Groenewoud, H.
  15. Geographical Information Systems - Principles and Applications Digital terrain modelling Weibel, R.;M. Heller;Maguire(et al.)(eds.)
  16. Jap. J. Ecol. v.25 Distribution of forest vegetation and climate in the Korean Peninsula - Ⅰ. distribution of some indices of thermal climate Yim, Y.J.;T. Kira
  17. Jap. J. Ecol. v.27 Distribution of forest vegetation and climate in the Korean Peninsula - Ⅲ. distribution of tree species along the thermal gradient Yim, Y.J.