干旱区生态环境知识资源中心(Arid): Detecting land degradation in Southern Africa using Time Series Segment and Residual Trend (TSS-RESTREND)

Arid

DOI	10.1016/j.jaridenv.2020.104314
	Detecting land degradation in Southern Africa using Time Series Segment and Residual Trend (TSS-RESTREND)
	Li, Zidong; Wang, Shuai; Song, Shuang; Wang, Yaping; Musakwa, Walter
通讯作者	Wang, S
来源期刊	JOURNAL OF ARID ENVIRONMENTS
ISSN	0140-1963
EISSN	1095-922X
出版年	2021
卷号	184
英文摘要	Land degradation is a universal environmental problem around the world, which affects 1.5 billion people's well-being. Therefore, the efforts to monitor where land degradation has happened and to find out the causes are meaningful for land management and restoration. Arid regions such as Southern Africa have attracted many concerns on land degradation assessment. However, previous studies have neglected the impacts of rainfall variation and possible breakpoints. In this study, the Time Series Segment and Residual Trend (TSS-RESTREND) method was used to detect land degradation in southern Africa and to compare with linear regression, RESTREND methods. Using TSS-RESTREND, 73.22% of the study area was found with vegetation controlled by precipitation, and 18.9% of the study area was found with breakpoints detected. Besides, results demonstrated that these increasing, decreasing, unchanged, and indeterminate pixels respectively made up 21.32%, 9.67%, 42.23%, and 26.78% of the study area. By eliminating positive effects from precipitation and including negative effects from breakpoints, TSS-RESTREND highlighted the potential overestimate of improvement by the linear regression method and the underestimate of degradation by the linear regression and RESTREND methods. These results showed that the land degradation detection with TSS-RESTREND method is useful for land conservation and restoration.
英文关键词	Southern Africa Land degradation Precipitation-vegetation relationship Breakpoint TSS-RESTREND
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000579976600014
WOS关键词	PROXY GLOBAL ASSESSMENT
WOS类目	Ecology ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	北京师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327927
作者单位	[Li, Zidong; Wang, Shuai; Song, Shuang; Wang, Yaping] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China; [Musakwa, Walter] Univ Johannesburg, Fac Engn & Built Environm, Dept Town & Reg Planning, Johannesburg, South Africa
推荐引用方式 GB/T 7714	Li, Zidong,Wang, Shuai,Song, Shuang,et al. Detecting land degradation in Southern Africa using Time Series Segment and Residual Trend (TSS-RESTREND)[J]. 北京师范大学,2021,184.
APA	Li, Zidong,Wang, Shuai,Song, Shuang,Wang, Yaping,&Musakwa, Walter.(2021).Detecting land degradation in Southern Africa using Time Series Segment and Residual Trend (TSS-RESTREND).JOURNAL OF ARID ENVIRONMENTS,184.
MLA	Li, Zidong,et al."Detecting land degradation in Southern Africa using Time Series Segment and Residual Trend (TSS-RESTREND)".JOURNAL OF ARID ENVIRONMENTS 184(2021).