干旱区生态环境知识资源中心(Arid): Landscape Dynamics of the Mu Us Sandy Land Based on Multi-Source Remote Sensing Images

Arid

DOI	10.3390/land13070977
	Landscape Dynamics of the Mu Us Sandy Land Based on Multi-Source Remote Sensing Images
	Fei, Bingqiang; Ma, Huirong; Yin, Jie; Zhang, Lingguang; Li, Jia; Xiu, Xiaomin; Zhou, Dezheng; Pang, Yingjun; Zhang, Yandong; Jia, Xiaohong; Wu, Bo
通讯作者	Wu, B
来源期刊	LAND
EISSN	2073-445X
出版年	2024
卷号	13 期号:7
英文摘要	This study meticulously investigates landscape alterations within the Mu Us Sandy Land, a critical region for desertification control in China. The research dissects the dynamic characteristics and inter-conversion of landscape elements across eleven distinct periods by employing multi-source remote sensing imagery spanning 1963 to 2020, alongside visual interpretation, random forest classification, and the desertification difference index (DDI). The analysis uncovers significant landscape transformations within the Mu Us Sandy Land over the past six decades, following a precise chronological sequence. A pivotal shift occurred around 1986, characterized by opposing trends within fixed and shifting sandy land. The earlier stage (pre-1986) witnessed a substantial decrease (66.9%) in the fixed sandy land area, accompanied by a corresponding rise (38.7%) in shifting sandy land. Conversely, the later stage (post-1986) era exhibited a remarkable increase (309.7%) in fixed sandy land, alongside a significant decline (78.9%) in shifting sand land coverage. This study identifies two stages of landscape transformation: a pre-1986 phase dominated by the conversion of fixed sandy land to semi-fixed sandy land and a post-1986 reversal toward shifting sand land into fixed sandy land. These sequential transformations have shaped the landscape pattern alterations observed in the Mu Us Sandy Land since 1963. The dramatic landscape improvements observed after 1986 can be primarily attributed to the implementation and continued investment in large-scale ecological restoration projects. This study's findings, which reveal the intricate landscape dynamics and their implications for ecosystem management, provide a scientific foundation for refining and formulating comprehensive strategies to control desertification and manage the Mu Us Sandy Land's unique ecosystem.
英文关键词	Mu Us Sandy Land multi-source remote sensing images landscape pattern transfer matrix
类型	Article
语种	英语
开放获取类型	gold
收录类别	SSCI
WOS记录号	WOS:001277083100001
WOS关键词	NORTH CHINA ; DESERTIFICATION ; PATTERNS ; PROVINCE ; DESERT
WOS类目	Environmental Studies
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/2XILL650/404821
推荐引用方式 GB/T 7714	Fei, Bingqiang,Ma, Huirong,Yin, Jie,et al. Landscape Dynamics of the Mu Us Sandy Land Based on Multi-Source Remote Sensing Images[J],2024,13(7).
APA	Fei, Bingqiang.,Ma, Huirong.,Yin, Jie.,Zhang, Lingguang.,Li, Jia.,...&Wu, Bo.(2024).Landscape Dynamics of the Mu Us Sandy Land Based on Multi-Source Remote Sensing Images.LAND,13(7).
MLA	Fei, Bingqiang,et al."Landscape Dynamics of the Mu Us Sandy Land Based on Multi-Source Remote Sensing Images".LAND 13.7(2024).