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Major forest increase on the Loess Plateau, China (2001-2016)
Wang, Yuhang1,2; Brandt, Martin3; Zhao, Mingfei1,2; Tong, Xiaowei4; Xing, Kaixiong5; Xue, Feng1,2; Kang, Muyi1,2; Wang, Lanhui3; Jiang, Yuan1,2; Fensholt, Rasmus3
2018-11-01
Source PublicationLAND DEGRADATION & DEVELOPMENT
ISSN1085-3278
Volume29Issue:11Pages:4080-4091
Corresponding AuthorJiang, Yuan(jiangy@bnu.edu.cn)
AbstractThe Loess Plateau in China is prone to widespread land degradation (soil erosion, deforestation, and water loss), and therefore, ecological restoration programmes aiming to re-establish the ecosystem by revegetation have been implemented during recent decades. Consequently, a widespread increase in vegetation cover has been reported, but the state and dynamics of forests remain largely unknown. Here, we used field and satellite data to produce annual forest probability scores at 250 x 250 m between 2001 and 2016. We classified the forest dynamics into three types: net gain, net loss, and fluctuation. Assuming that an increasing probability score reflects forest growth, we categorised the annual forest areas into different growing stages indicating the transition between planting and mature forest. In total, the area of forest increase was 48,786 km(2), and the percentage of forested areas of the region changed from 8.19% to 15.82% within 16 years. In areas of forest net gain, there was a clear transition from low- to high-probability forest areas, providing evidence that a general forest transition is occurring on the Loess Plateau. The method developed for continuous monitoring of forest probability scores offers a benchmarking for further decision making on ecological restoration of the region and for mapping of afforestation projects elsewhere. The findings on major forest increases demonstrate that land degradation is in fact reversible, with implications for many ecosystem services (e.g., carbon storage and provisioning of forest products).
Keywordafforestation ecological restoration forest dynamics Loess Plateau trajectory-based approach
DOI10.1002/ldr.3174
WOS KeywordTIME-SERIES ; LAND-USE ; COVER CHANGE ; RE-VEGETATION ; ECOLOGICAL RESTORATION ; TROPICAL FORESTS ; CLIMATE-CHANGE ; SOIL-WATER ; AFFORESTATION ; TRANSITION
Indexed BySCI
Language英语
Funding ProjectChina Scholarship Council[201706040157] ; National Key Basic Research Special Foundation of China[2011FY110300] ; National Natural Science Foundation of China[41271059] ; National Natural Science Foundation of China[41630750]
Funding OrganizationChina Scholarship Council ; National Key Basic Research Special Foundation of China ; National Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Agriculture
WOS SubjectEnvironmental Sciences ; Soil Science
WOS IDWOS:000449541200023
PublisherWILEY
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52515
Collection中国科学院地理科学与资源研究所
Corresponding AuthorJiang, Yuan
Affiliation1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
2.Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, Beijing 100875, Peoples R China
3.Univ Copenhagen, Dept Geosci & Nat Resource Management, DK-1350 Copenhagen, Denmark
4.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Hunan, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Wang, Yuhang,Brandt, Martin,Zhao, Mingfei,et al. Major forest increase on the Loess Plateau, China (2001-2016)[J]. LAND DEGRADATION & DEVELOPMENT,2018,29(11):4080-4091.
APA Wang, Yuhang.,Brandt, Martin.,Zhao, Mingfei.,Tong, Xiaowei.,Xing, Kaixiong.,...&Fensholt, Rasmus.(2018).Major forest increase on the Loess Plateau, China (2001-2016).LAND DEGRADATION & DEVELOPMENT,29(11),4080-4091.
MLA Wang, Yuhang,et al."Major forest increase on the Loess Plateau, China (2001-2016)".LAND DEGRADATION & DEVELOPMENT 29.11(2018):4080-4091.
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