Satellite Data Reveal Concerns Regarding Mangrove Restoration Efforts in Southern China
Fan, Chao1,2,3,4; Hou, Xiyong1,3,4; Zhang, Yuxin1,3,4; Li, Dong1,3,4
发表期刊REMOTE SENSING
2023-09-01
卷号15期号:17页码:22
关键词Google Earth Engine mangrove restoration remote sensing resilience
DOI10.3390/rs15174151
通讯作者Hou, Xiyong([email protected])
英文摘要Mangrove restoration projects are often evaluated based on the increase in mangrove forest (MF) area, but the reliability of this indicator as a measure of successful restoration is questionable. Considering both numerical and quality dimensions, this study assessed mangrove restoration efforts in the Leizhou Peninsula and Beibu Gulf (LP-BG) in China. The hypothesis was that due to the limited social capital investment in mangrove restoration, there exist hierarchical differences in the urgency of mangrove restoration. Time-series Landsat imagery from the Google Earth Engine platform was used to analyze the MF distribution from 2000 to 2020. A resilience indicator, incorporating resistance and adaptive capacity, was constructed to assess MF quality within identified mangrove boundaries. The results revealed an increase in MF area from 6655.87 ha in 2000 to 14,607.93 ha in 2020. However, the majority (79.6%) of MF patches exhibited low resilience (values < 3), with only a minority (51 patches) demonstrating high resilience. Interestingly, MFs within the mangrove reserve displayed higher resilience, but these areas did not exhibit a significant spatial expansion of MFs. These findings highlight the limitation of relying solely on the net growth in the MF area as an indicator of successful restoration. Instead, an ecologically optimal solution is recommended, focusing on expanding conservation boundaries to include remnant MFs outside protected areas, rather than creating new planting areas. This study provides an assessment framework to evaluate the efficiency of mangrove restoration efforts and offers insights for local decision makers to guide future restoration endeavors.
资助机构We express our gratitude to Yancheng Tao (Guangxi Mangrove Research Center, Guangxi Academy of Science), the editor, and the anonymous peer reviewers. ; (Guangxi Academy of Science)
收录类别SCI
语种英语
关键词[WOS]SUSTAINABLE DEVELOPMENT ; CLIMATE-CHANGE ; CONSERVATION ; DISTURBANCE ; ADAPTATION ; ECOSYSTEMS ; RECOVERY ; GUANGXI ; FORESTS ; IMAGES
研究领域[WOS]Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:001065174200001
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/36725
专题中国科学院海岸带环境过程与生态修复重点实验室
中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
通讯作者Hou, Xiyong
作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
4.Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China
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GB/T 7714
Fan, Chao,Hou, Xiyong,Zhang, Yuxin,et al. Satellite Data Reveal Concerns Regarding Mangrove Restoration Efforts in Southern China[J]. REMOTE SENSING,2023,15(17):22.
APA Fan, Chao,Hou, Xiyong,Zhang, Yuxin,&Li, Dong.(2023).Satellite Data Reveal Concerns Regarding Mangrove Restoration Efforts in Southern China.REMOTE SENSING,15(17),22.
MLA Fan, Chao,et al."Satellite Data Reveal Concerns Regarding Mangrove Restoration Efforts in Southern China".REMOTE SENSING 15.17(2023):22.
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