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Analysis of Vegetation Recovery Trends by Restoration Method in Wildfire-Damaged Areas Using NDVI Mean-Variance plot

NDVI 평균-분산 도표를 활용한 산불피해지 복원 방법별 식생 회복 경향 분석

  • Kim, In-hwa (Dept. of Environmental Science & Ecological Engineering, Korea University) ;
  • Kim, Yoon-Ji (Ojeong Resilience Institute, Korea University) ;
  • Chung, Hye-In (Ojeong Resilience Institute, Korea University) ;
  • Shin Yu-jin (Dept. of Environmental Science & Ecological Engineering, Korea University) ;
  • Lee, Sang-Wook (Dept. of Environmental Science & Ecological Engineering, Korea University) ;
  • Jeong, Da-yong (Dept. of Environmental Science & Ecological Engineering, Korea University) ;
  • Jeon, Seong-Woo (Dept. of Environmental Science & Ecological Engineering, Korea University)
  • 김인화 (고려대학교 환경생태공학과) ;
  • 김윤지 (고려대학교 오정리질리언스센터) ;
  • 정혜인 (고려대학교 오정리질리언스센터) ;
  • 신유진 (고려대학교 환경생태공학과) ;
  • 이상욱 (고려대학교 환경생태공학과) ;
  • 정다영 (고려대학교 환경생태공학과) ;
  • 전성우 (고려대학교 환경생태공학부)
  • Received : 2024.08.13
  • Accepted : 2024.09.25
  • Published : 2024.10.31

Abstract

With the increasing wildfire damage driven by climate change, it is crucial to assess the effectiveness of restoration efforts on a large scale. The majority of forests in Korea are situated in rugged mountainous regions, making it challenging to monitor large-scale wildfires. Consequently, establishing methodologies that use satellite imagery to evaluate restoration effectiveness is essential. This study aims to assess the recovery trends of ecosystems in wildfire-affected areas using NDVI mean-variance plots, which monitor changes in NDVI mean and variance over time through satellite imagery and visually represent the restoration process. The analysis of NDVI mean-variance plots for different restoration methods revealed that landscape restoration had the slowest recovery. This slower recovery is likely due to reduced growth from the complete removal of damaged trees. In contrast to High Severity (HS) areas, Moderate High Severity (MHS) areas showed that commercial afforestation, revegetation, ecological forest treatment led to a more stable recovery state post-disturbance, suggesting that areas with lower wildfire severity may recover more quickly. Furthermore, the recovery trends between artificial and natural restoration showed no significant difference, indicating that natural restoration can have similar restoration effects to artificial restoration in appropriate areas. Therefore, the study emphasizes the need to expand natural restoration areas, considering ecological and economic benefits such as increased biodiversity and genetic resource conservation. This research provides critical baseline data for the formulation and implementation of restoration policies in large-scale wildfire-affected regions and is expected to contribute significantly to the development of effective management strategies and monitoring techniques.

Keywords

Acknowledgement

본성과는 환경부의 재원을 지원받아 한국환경산업기술원 "신기후체제 대응 환경기술개발사업"의 연구개발을 통해 창출되었습니다. (2022003570003)

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