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Evaluation of Biodiversity Based on Changes of Spatial Scale -A Case Study of Baekdudaegan Area in Kangwondo-

공간스케일 변화에 따른 생물다양성 평가 -강원도 백두대간 보호구역을 대상으로-

  • Sim, Woodam (Department of Forest Management, College of Forest and Environmental Sciences, Kangwon National University) ;
  • Park, Jinwoo (Department of Forest Management, College of Forest and Environmental Sciences, Kangwon National University) ;
  • Lee, Jungsoo (Department of Forest Management, College of Forest and Environmental Sciences, Kangwon National University)
  • 심우담 (강원대학교 산림환경과학대학 산림경영학과) ;
  • 박진우 (강원대학교 산림환경과학대학 산림경영학과) ;
  • 이정수 (강원대학교 산림환경과학대학 산림경영학과)
  • Received : 2014.02.05
  • Accepted : 2014.02.09
  • Published : 2014.02.28

Abstract

This research was conducted on the conservation area of Baekdudaegan, Kangwondo under the purpose of evaluating bio-diversity according to the changes of spatial scale, using GIS data and spatial filtering method. The diversity index was calculated based on the information of species of The $5^{th}$ forest type map using Shannon-weaver index (H'), evenness index ($E_i$) and richness index ($R_i$). The diversity index was analyzed and compared according to the changes of 12 spatial scales from Kernel size $3{\times}3$ to $73{\times}73$ and basin unit. As for H' and $R_i$, spatial scale increased as diversity index decreased, while $E_i$ decreases gradually. H' and $R_i$ was highest; each 1.1 and 0.6, when the Kernel size was $73{\times}73$, while $E_i$ was 0.2, the lowest. When you look at according to the basin unit, for large basin unit, 'YeongDong' region shows higher diversity index than 'YeongSeo' region. For middle basin unit, 'Gangneung Namdaecheon' region, and for small basin unit, 'Gangneung Namdaecheon' and 'Gangneung Ohbongdaem' region shows high diversity index. When you look at the relationship between diversity index and Geographic factors, H' shows positive relation to curvature and sunshine factor while shows negative to elevation, slope, hillshade, and wetness index. Also $E_i$ was similar to the relationship between H' and Geographic factor. Meanwhile, $R_i$ shows positive relationship to curvature and sunshine factor, while negative to elevation, slope, hillshade, and wetness index. macro unit diversity index evaluation was possible through the GIS data and spatial filtering, and it can be a good source for local biosphere conservation policy making.

Keywords

References

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