干旱区生态环境知识资源中心(Arid): Land degradation sensitivity assessment and convergence analysis in Korla of Xinjiang, China

Arid

DOI	10.1007/s40333-020-0057-y
	Land degradation sensitivity assessment and convergence analysis in Korla of Xinjiang, China
	Ding Jinchen; Chen Yunzhi; Wang Xiaoqin; Cao Meiqin
通讯作者	Chen, YZ
来源期刊	JOURNAL OF ARID LAND
ISSN	1674-6767
EISSN	2194-7783
出版年	2020
卷号	12 期号:4 页码:594-608
英文摘要	Land degradation has a major impact on environmental and socio-economic sustainability. Scientific methods are necessary to monitor the risk of land degradation. In this study, the environmental sensitive area index (ESAI) was utilized to assess land degradation sensitivity and convergence analysis in Korla, a typical oasis city in Xinjiang of China, which is located on the northeast border of the Tarim Basin. A total of 18 indicators depicting soil, climate, vegetation, and management qualities were used to illustrate spatial-temporal patterns of land degradation sensitivity from 1994 to 2018. We investigated the causes of spatial convergence and divergence based on the Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models. The results show that the branch of the Tianshan Mountains and oasis plain had a low sensitivity to land degradation, while the Tarim Basin had a high risk of land degradation. More than two-thirds of the study area can be categorized as critical sensitivity classes. The largest percentage (32.6%) of fragile classes was observed for 2006. There was no significant change in insensitive or low-sensitivity areas, which accounted for less than 0.4% of the entire observation period. The ESAI of the four time periods (1994-1998, 1998-2006, 2006-2010, and 2010-2018) formed a series of convergence patterns. The convergence patterns of 1994-1998 and 1998-2006 can be explained by the government's efforts to Returning Farmland to Forests and other governance projects. In 2006-2010, the construction of afforested work intensified, but industrial development and human activities affected the convergence pattern. The pattern of convergence in most regions between 2010 and 2018 can be attributed to the government's implementation of a series of key ecological protection projects, which led to a decrease in sensitivity to land degradation. The results of this study altogether suggest that the ESAI convergence analysis is an effective early warning method for land degradation sensitivity.
英文关键词	land degradation quality index convergence analysis remote sensing environmental sensitive area index Korla
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SSCI
WOS记录号	WOS:000561716400002
WOS关键词	GEOGRAPHICALLY-WEIGHTED REGRESSION ; SENSED DATA ; DESERTIFICATION ; SCALE ; RISK ; VULNERABILITY ; MODEL ; OLS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325758
作者单位	[Ding Jinchen; Chen Yunzhi; Wang Xiaoqin; Cao Meiqin] Fuzhou Univ, Natl & Local Joint Engn Res Ctr Satellite Geospat, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350108, Peoples R China
推荐引用方式 GB/T 7714	Ding Jinchen,Chen Yunzhi,Wang Xiaoqin,et al. Land degradation sensitivity assessment and convergence analysis in Korla of Xinjiang, China[J],2020,12(4):594-608.
APA	Ding Jinchen,Chen Yunzhi,Wang Xiaoqin,&Cao Meiqin.(2020).Land degradation sensitivity assessment and convergence analysis in Korla of Xinjiang, China.JOURNAL OF ARID LAND,12(4),594-608.
MLA	Ding Jinchen,et al."Land degradation sensitivity assessment and convergence analysis in Korla of Xinjiang, China".JOURNAL OF ARID LAND 12.4(2020):594-608.