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Satellite remote sensing reveals overwhelming recovery of forest from disturbances in Asia

Yiying Zhu Hesong Wang Anzhi Zhang

大气和海洋科学快报(英文版)2025,Vol.18Issue(1):46-51,6.
大气和海洋科学快报(英文版)2025,Vol.18Issue(1):46-51,6.DOI:10.1016/j.aosl.2024.100511

Satellite remote sensing reveals overwhelming recovery of forest from disturbances in Asia

Satellite remote sensing reveals overwhelming recovery of forest from disturbances in Asia

Yiying Zhu 1Hesong Wang 2Anzhi Zhang3

作者信息

  • 1. School of Ecology and Nature Conservation,Beijing Forestry University,Beijing,China||Key Laboratory of Regional Climate and Environment for Temperate East Asia,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,China
  • 2. School of Ecology and Nature Conservation,Beijing Forestry University,Beijing,China||College of Forestry and Landscape Architecture,Xinjiang Agricultural University,Urumqi,China
  • 3. Key Laboratory of Regional Climate and Environment for Temperate East Asia,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,China
  • 折叠

摘要

Abstract

目前对于亚洲森林在应对气候变化和人类活动干扰方面的研究相对较少.本研究利用BFAST突变检测方法,分析了东亚,南亚和东南亚的增强植被指数(EVI)长时间序列中检测到的森林扰动和恢复情况.结果显示,2000年至2022年期间,约20%的森林经历了扰动,且受到扰动的森林面积呈增加趋势,东南亚国家受扰动的影响更为严重.在扰动事件发生后,95%的森林具有较好的恢复能力,能够在受到扰动后的一段时间后恢复过来,其中约有三分之二的森林在2022年时已经恢复到了较扰动前更好的状态.

关键词

森林生态系统/增强型植被指数/突变检测方法/扰动/恢复力

Key words

Forest ecosystem/Enhanced vegetation index/Breaks for additive seasonal and trend method/Disturbance/Resilience

引用本文复制引用

Yiying Zhu,Hesong Wang,Anzhi Zhang..Satellite remote sensing reveals overwhelming recovery of forest from disturbances in Asia[J].大气和海洋科学快报(英文版),2025,18(1):46-51,6.

基金项目

This research was jointly supported by the National Natural Science Foundation of China[grant number 42265012]and the Funding by the Fengyun Application Pioneering Project[grant number FY-APP-ZX-2022.0221]. ()

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