인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study aims to classify and analyze forest ecosystem recovery patterns in the regions of Busan and Gyeongsangnam-do, South Korea, that were affected by landslides caused by Typhoon Sanba in 2012. To evaluate both the structural and functional recovery of the forest ecosystems, we employed two complementary indicators: the Vegetation Recovery Rate (VRR), derived from time-series NDVI (Normalized Differenced Vegetation Index) data, and the Shannon Diversity Index, calculated from the 1st and 2nd national forest health management surveys. VRR quantified the recovery of vegetation cover based on NDVI changes before and after the disturbance, while the change in the Shannon Index represented functional recovery based on Shannon Index variation. Each indicator was interpreted using the median value as a relative threshold (VRR: 100.26%, Shannon Index difference: 0.1431), allowing spatial classification into four recovery types (A ~ D). Type A (high VRR and high Shannon Index difference) indicates full structural and functional recovery, while Type D (low VRR and low Shannon Index difference) signifies areas requiring priority ecological restoration. Spatial distribution patterns of recovery types revealed that Type A areas were concentrated in Ulsan and Miryang, whereas Type D areas were predominantly found in western Gyeongnam such as Hadong, Geochang, and Sancheong. This classification framework provides a basis for developing region-specific forest restoration strategies and highlights the necessity of integrating both remote sensing and field-based ecological indicators for comprehensive post-disaster assessment
본문·목차
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