Journal of the Korean Society of Environmental Restoration Technology (한국환경복원기술학회지)

The Korea Society of Environmental Restoration Technology (한국환경복원기술학회)
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Prediction of Fragmentation Impact Range of Forest Development Analyzing the Pattern of Landscape Indexes

경관지수 패턴 분석을 이용한 산지개발사업의 산림파편화 영향범위 예측

  • Ji, Seung-yong (Department of Environment & Forest Resource, Chungnam National University) ;
  • Choi, Jaeyong (Department of Environment & Forest Resource, Chungnam National University) ;
  • Lee, Sang-hyuk (Institute of Agricultural Science, Chungnam National University) ;
  • Lee, Peter Sang-Hoon (Graduate School of Urban Studies, Hanyang University)
  • 지승용 (충남대학교 산림환경자원학과) ;
  • 최재용 (충남대학교 산림환경자원학과) ;
  • 이상혁 (충남대학교 농업생명과학연구소) ;
  • 이상훈 (한양대학교 도시대학원)
  • Received : 2016.03.16
  • Accepted : 2016.03.25
  • Published : 2016.04.29
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Abstract

In South Korea the need of sustainably managing development on forest lands has required to develop a new approach to estimating environmental impacts on forest surrounding development sites in a scientific manner. As for forest-related development, two types of development were selected: golf courses and industrial complexes. Using Fragstats 4.2, the fragmentation effects and patterns of each type by forest area within project sites and buffer zones ranging from the outside of project sites up to 2,000 meters were analyzed. As a result, golf courses were strongly related to a group of fragmentation indexes: CA, NP, PD, TE, LSI, TCA, NDCA and CONNECT, whereas industrial complexes were associated with CA, NP, PD, TE, LSI and CONNECT. Among them, NP, LSI, TCA and NDCA of golf courses were considered as representative indexes reflecting the average impact ranges of each sub-group by forest area, and focussing on the size of core areas. In the case of industrial complexes, PD, TE and LSI were the representatives, vulnerable to the composition of given landscape. For two case studies, one for golf courses and the other for industrial complexes, they showed there existed a difference between the average of a group and the individual results. Therefore, to minimize the variations in impact range within a group, it is needed to analyze more individual cases. This study proved there was a distinction between project types in terms of the range of environmental impact. To effectively and comprehensively manage forest development, further research on analyzing other development types related to forests with more cases is needed.

Keywords

References

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