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연결성 분석을 활용한 산림의 주연부와 내부의 탄소저장량 비교

Comparison of Carbon Stock Between Forest Edge and Core by Using Connectivity Analysis

  • 성선용 (서울대학교 협동과정 조경학) ;
  • 이동근 (서울대학교 조경.지역시스템 공학부) ;
  • 모용원 (서울대학교 협동과정 조경학)
  • Sung, Sun-Yong (Interdisciplinary Program in Landscape Architecture, Seoul National University) ;
  • Lee, Dong-Kun (Department of Landscape Architecture and Rural System Engineering, Seoul National University) ;
  • Mo, Yong-Won (Interdisciplinary Program in Landscape Architecture, Seoul National University)
  • 투고 : 2015.10.29
  • 심사 : 2015.11.23
  • 발행 : 2015.12.30

초록

Forest ecosystem is considered as an important stepping stone to minimize the impact of climate change. However, the rapid urbanization has caused fragmentation of forest ecosystem. The fragmentation of forest patch results in edge effect which brings about adverse impacts on forest function and structure. Degradation of forest ecosystem decreases carbon sequestration because edge effect reduces productivity. Therefore, we analyzed the impact of forest edge effect on forest ecosystem carbon stock change in Seongnam-si, Gyeonggi-do. We used connectivity analysis to determine forest edge and core area. The field study sites were selected with considering forest age, density, class and soil type. Secondly, forest carbon stock was calculated with allometric equation. The soil carbon stock was derived from Walkely-Black method. Lastly, Mann-Whitney test was conducted to validate differences between carbon stock in edge and core area. As a result of study, the connectivity analysis was effective to determine forest edge and core. The core and edge of forest patch showed different composition of tree species and soil properties. Carbon stock per tree in the edge area was lower than that in the core area. However, the difference of soil organic carbon content between the edge and core were relatively small. This assessment can be applied for the conservation of forest patch as well as quantitative assessment on the forest carbon stock change caused by fragmentation.

키워드

참고문헌

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