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Investigation of Long-Term Forest Dynamics in Protected Areas of Northeast China Using Landsat Data  ( SCI-EXPANDED收录 EI收录)   被引量:1

文献类型:期刊文献

英文题名:Investigation of Long-Term Forest Dynamics in Protected Areas of Northeast China Using Landsat Data

作者:Wang, Jianbang[1,2] He, Zhuoyu[1,2] Wang, Chunling[2] Feng, Min[2,3] Pang, Yong[4] Yu, Tao[4] Li, Xin[2]

第一作者:Wang, Jianbang

通信作者:Feng, M[1];Feng, M[2]

机构:[1]Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China;[2]Chinese Acad Sci, Natl Tibetan Plateau Data Ctr, Key Lab Tibetan Environm Changes & Land Surface P, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China;[3]Qinghai Normal Univ, Acad Plateau Sci & Sustainabil, Xining 810016, Peoples R China;[4]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China

年份:2022

卷号:14

期号:13

外文期刊名:REMOTE SENSING

收录:;EI(收录号:20222712316993);Scopus(收录号:2-s2.0-85133248597);WOS:【SCI-EXPANDED(收录号:WOS:000824693900001)】;

基金:This research was funded by the National Natural Science Foundation of China (42171140), the Fundamental Research Funds of CAF(CAFYBB2020ZD002).

语种:英文

外文关键词:forest dynamics; Landsat; tree-canopy cover; forest protected area; northeast China

摘要:Forest dynamics, including forest loss and gain, are long-term complex ecological processes affected by nature and human activities. It is particularly important to understand the long-term forest dynamics of protected areas to evaluate their conservation efforts. This study adopted the Landsat tree-canopy cover (TCC) method to derive annual TCC data for the period 1984-2020 for the protected areas of northeast China, where protection policies have been carried out since the end of the 20th century, e.g., the Natural Forest Conversion Program (NFCP). A strong correlation was found between the TCC estimates derived from Landsat and LiDAR observations, suggesting the high accuracy of TCC. Forest loss and gain events were also identified from the time series of TCC estimates. High correlations were reported for both forest loss (Producer's accuracy = 85.21%; User's accuracy = 84.26%) and gain (Producer's accuracy = 87.74%; User's accuracy = 88.31%), suggesting that the approach can be used for monitoring and evaluating the effectiveness of the NFCP and other forest conservation efforts. The results revealed a fluctuating upward trend of the TCC of the protected area from 1986 to 2018. The increased area of TCC was much larger than the decreased area, accounting for 59.68% and 40.34%, respectively, suggesting the effectiveness of protection policies. Since the NFCP was officially implemented in 1998, deforestation was effectively curbed, the area of forest loss was significantly reduced (slope: -14.24%/year), and the area of forest gain significantly increased (slope: 4.13%/year). We found that regional forest changes were mainly manifested in "forest gain after loss (forest recovery)" and "forest gain with no loss (forest newborn)", accounting for 40.29% and 37.28% of the total area of forest change, respectively. Moreover, the forest gain area far exceeds the forest loss area, reaching 11.24 million hectares, suggesting a successful forest recovery due to forest protection.

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