Monitoring forest dynamics in Africa during 2000-2020 using a remotely sensed fractional tree cover dataset
文献类型:期刊论文
作者 | Wei, Xuexin; Liu, Yang; Qi, Lin; Chen, Jilong; Wang, Guoqin; Zhang, Linxiu; Liu, Ronggao |
刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH |
出版日期 | 2023-12-31 |
卷号 | 16期号:1页码:2212-2232 |
ISSN号 | 1753-8955 |
关键词 | Forest gain forest loss tree cover Africa spatio-temporal dynamic |
DOI | 10.1080/17538947.2023.2220613 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | Africa is covered with extensive woodlands, savannas and rainforests. The tree cover of these biomes has been undergoing substantial changes in recent decades. However, the dynamics of forests in Africa are currently unclear, particularly in the woodlands and savanna areas covered by sparse trees. Here, we assessed the spatio-temporal trend of African forests from 2000 to 2020, using a 250-m resolution fractional tree cover product that can capture the variation of forest density in the widespread mixed vegetation landscapes of the continent. The tree cover trends, interannual change and hotspots of forest gain and loss were evaluated. Results showed that the African forest area increased at a rate of 3.59 million ha/year over the study period, reaching 589 million ha in 2020. Considerable forest gain and loss both occurred in Africa. The net change rate in woodlands' forest area was the fastest (2.28 million ha/year), followed by rainforests (0.80 million ha/year) and savannas (0.34 million ha/year). Hotspots of forest gain were concentrated in the north belt of woodlands and savannas, while forest loss primarily clustered in East and South Africa. This work would help African countries to monitor forest change and promote forest management to achieve the Sustainable Development Goals. |
学科主题 | Physical Geography ; Remote Sensing |
WOS关键词 | LAND-COVER ; MODIS ; TRENDS ; DEFORESTATION ; SAVANNA ; DRIVERS |
WOS研究方向 | Physical Geography ; Remote Sensing |
出版者 | TAYLOR & FRANCIS LTD |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/193747] |
专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
作者单位 | 1.Institute of Geographic Sciences & Natural Resources Research, CAS 2.University of Chinese Academy of Sciences, CAS 3.Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Wei, Xuexin,Liu, Yang,Qi, Lin,et al. Monitoring forest dynamics in Africa during 2000-2020 using a remotely sensed fractional tree cover dataset[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2023,16(1):2212-2232. |
APA | Wei, Xuexin.,Liu, Yang.,Qi, Lin.,Chen, Jilong.,Wang, Guoqin.,...&Liu, Ronggao.(2023).Monitoring forest dynamics in Africa during 2000-2020 using a remotely sensed fractional tree cover dataset.INTERNATIONAL JOURNAL OF DIGITAL EARTH,16(1),2212-2232. |
MLA | Wei, Xuexin,et al."Monitoring forest dynamics in Africa during 2000-2020 using a remotely sensed fractional tree cover dataset".INTERNATIONAL JOURNAL OF DIGITAL EARTH 16.1(2023):2212-2232. |
入库方式: OAI收割
来源:地理科学与资源研究所
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