干旱区生态环境知识资源中心(Arid): Forest Changes by Precipitation Zones in Northern China after the Three-North Shelterbelt Forest Program in China

Arid

DOI	10.3390/rs13040543
	Forest Changes by Precipitation Zones in Northern China after the Three-North Shelterbelt Forest Program in China
	Li, Han; Xu, Fu; Li, Zhichao; You, Nanshan; Zhou, Hui; Zhou, Yan; Chen, Bangqian; Qin, Yuanwei; Xiao, Xiangming; Dong, Jinwei
通讯作者	Dong, JW (corresponding author), Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:4
英文摘要	China launched the Three-North Shelterbelt Forest Program (TNSFP) in 1978 in northern China to combat desertification and dust storms, but it is still controversial in ecologically fragile arid and semi-arid areas, which is partly due to the uncertainties of monitoring of the spatial-temporal changes of forest distribution. In this study, we aim to provide an overall retrospect of the forest changes (i.e., forest gain and forest loss) in northern China during 2007-2017, and to analyze the forest changes in different precipitation zones. We first generated annual forest maps at 30 m spatial resolution during 2007-2017 in northern China through integrating Landsat and PALSAR/PALSAR-2 data. We found the PALSAR/Landsat-based forest maps outperform other four existing products (i.e., JAXA F/NF, FROM-GLC, GlobeLand30, and NLCD-China) from either PALSAR or Landsat data, with a higher overall accuracy 96% +/- 1%. The spatial-temporal analyses of forests showed a substantial forest expansion from 316,898 +/- 34,537 km(2) in 2007 to 384,568 +/- 35,855 km(2) in 2017 in the central and eastern areas. We found a higher forest loss rate (i.e., 35%) in the precipitation zones with the annual mean precipitation less than 400 mm (i.e., the arid and semi-arid areas) comparing to that (i.e., 25%) in the zones with more than 400 mm (i.e., the humid areas), which suggests the lower surviving rate in the drylands. This study provides satellite-based evidence for the forest changes in different precipitation zones, and suggests that the likely impacts of precipitation on afforestation effectiveness should be considered in future implementation of ecological restoration projects like TNSFP.
英文关键词	forest loss and gain optical and SAR data integration spatial-temporal changes precipitation northern China
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000624410000001
WOS关键词	LAND-COVER DATABASE ; ALOS-PALSAR ; GLOBAL LAND ; TIME-SERIES ; TROPICAL DEFORESTATION ; LOESS PLATEAU ; REGION ; MAPS ; DESERTIFICATION ; VALIDATION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院地理科学与资源研究所 ; 北京林业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351482
作者单位	[Li, Han; Xu, Fu] Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China; [Li, Han; Li, Zhichao; You, Nanshan; Zhou, Hui; Zhou, Yan; Dong, Jinwei] Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; [Chen, Bangqian] Chinese Acad Trop Agr Sci CATAS, Rubber Res Inst RRI, Haikou 571101, Hainan, Peoples R China; [Qin, Yuanwei; Xiao, Xiangming] Univ Oklahoma, Ctr Spatial Anal, Dept Microbiol & Plant Biol, Norman, OK 73019 USA
推荐引用方式 GB/T 7714	Li, Han,Xu, Fu,Li, Zhichao,et al. Forest Changes by Precipitation Zones in Northern China after the Three-North Shelterbelt Forest Program in China[J]. 中国科学院地理科学与资源研究所, 北京林业大学,2021,13(4).
APA	Li, Han.,Xu, Fu.,Li, Zhichao.,You, Nanshan.,Zhou, Hui.,...&Dong, Jinwei.(2021).Forest Changes by Precipitation Zones in Northern China after the Three-North Shelterbelt Forest Program in China.REMOTE SENSING,13(4).
MLA	Li, Han,et al."Forest Changes by Precipitation Zones in Northern China after the Three-North Shelterbelt Forest Program in China".REMOTE SENSING 13.4(2021).