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Comparisons of forest mapping data sets in Sahel and their implications for the assessment of the pan-African Great Green Wall Initiative

文献类型：期刊论文

作者Zhang, Tong2,3; Liu, Ronggao2; Liu, Yang2; Wang, Guoqin1,2; Chen, Jilong2,3; Duan, Quan2,3
刊名FRONTIERS OF EARTH SCIENCE
出版日期2025-10-30
卷号N/A
关键词forest mapping datasets discrete land cover datasets percent tree cover datasets spatial consistency temporal dynamics Sahel
ISSN号2095-0195
DOI10.1007/s11707-025-1162-1
产权排序1
文献子类Article ; Early Access
英文摘要Forests in drylands are crucial for ecosystems and restoration projects such as the pan-African Great Green Wall Initiative (GGW). Remote sensing-based forest mapping is essential for assessing GGW progress, but substantial uncertainties exist across these data sets, especially in drylands. This study analyzed the spatiotemporal patterns of seven satellite forest data sets in Sahel, including four percent tree cover data sets and three discrete land cover data sets. Consistency among these data sets was evaluated in terms of forest extent, area, and temporal dynamics. The influencing factors contributing to uncertainties were also discussed. Results revealed notable discrepancies in forest distribution and area. Spatial uncertainties were mainly found in transitional zones such as highlands and agroforestry ecosystems. Forest area estimates for 2020 ranged from 6.65 x 104 km2 to 6.90 x 105 km2, with discrete data sets generally overestimating compared to percent tree cover data sets. Temporally, these data sets showed varying trends in both area and spatial distribution. Discrete data sets, compared to percent tree cover data sets, exhibited a more stable state and forest increase. Most data sets detected increases in the Guinea Highlands and southern Chad, but discrepancies were evident in areas such as the Ethiopian Highlands. This discrepancy can primarily be attributed to the inherent challenges of forest mapping in the Sahelian dryland ecosystem, characterized by highly sparse tree distribution. Percent tree cover data sets, by quantifying the areal proportion covered by trees within remote sensing pixels, could improve the ability to characterize sparse tree cover in Sahelian dryland ecosystems, facilitating the assessment of ecological initiatives such as the GGW.
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WOS关键词FRACTIONAL TREE COVER ; VEGETATION ; MAPS ; DESERTIFICATION ; LIVELIHOODS ; ACCURACY ; DYNAMICS ; DRYLANDS ; PROGRESS ; SAHARA
WOS研究方向Geology
语种英语
WOS记录号WOS:001604838500001
出版者SPRINGER
源URL[http://ir.igsnrr.ac.cn/handle/311030/217758]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Liu, Yang
作者单位1.United Nations Environm Programme Int Ecosyst Mana, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
3.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China;
推荐引用方式
GB/T 7714		 Zhang, Tong,Liu, Ronggao,Liu, Yang,et al. Comparisons of forest mapping data sets in Sahel and their implications for the assessment of the pan-African Great Green Wall Initiative[J]. FRONTIERS OF EARTH SCIENCE,2025,N/A.
APA Zhang, Tong,Liu, Ronggao,Liu, Yang,Wang, Guoqin,Chen, Jilong,&Duan, Quan.(2025).Comparisons of forest mapping data sets in Sahel and their implications for the assessment of the pan-African Great Green Wall Initiative.FRONTIERS OF EARTH SCIENCE,N/A.
MLA Zhang, Tong,et al."Comparisons of forest mapping data sets in Sahel and their implications for the assessment of the pan-African Great Green Wall Initiative".FRONTIERS OF EARTH SCIENCE N/A(2025).

入库方式： OAI收割

来源：地理科学与资源研究所

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