干旱区生态环境知识资源中心(Arid): Analysis of the Spatiotemporal Dynamics and Drivers of Ecosystem Health in Xinjiang

Arid

DOI	10.1109/JSTARS.2024.3425653
	Analysis of the Spatiotemporal Dynamics and Drivers of Ecosystem Health in Xinjiang
	Yang, Xiaming; Zhang, Renping; Guo, Jing; Zhang, Liangliang; Gou, Xueping; Gao, Zhengjie; Liu, Xuewei
通讯作者	Zhang, RP
来源期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN	1939-1404
EISSN	2151-1535
出版年	2024
卷号	17 页码:13387-13399
英文摘要	Ecosystem health is a key indicator of regional sustainable development and is important for guiding regional ecological improvement. However, long-term time-series analyses of ecosystem health, its drivers, and changes related to future trends have not yet been adequately carried out. Xinjiang, a typical Central Asian arid region, is taken as a case study, and an indicator system based on the driver-pressure-state-impact-response model is established. Then, an ecosystem health assessment method using the TOPSIS model with the combined weighting method is proposed, and the determinants influencing the health of ecosystems are scrutinized utilizing the geographical detector approach and the geographically weighted regression model. Finally, the future trend of ecosystem health change was predicted by applying the Hurst exponent combined with slope trend analysis. The findings reveal the following observations: First, between 2000 and 2020, the zones in Xinjiang demonstrating robust ecosystem health predominantly encompassed the Altai Mountains and areas proximal to the Tian Shan Mountains; the low-value regions were concentrated in the Junggar Basin and around the Tarim Basin; and the areas with an improved ecosystem health index accounted for 92.1% of the research zone. Second, natural driving factors dominate the research zone. Dominant drivers vary among regions and are affected by interactions between multiple factors, with positive and negative effects. Third, in the designated study area, regions exhibiting an increase and persistent trend in ecosystem health are projected to constitute 85.05% of the total area. This research is promising for providing decision support and a case for sustainable development in Xinjiang.
英文关键词	Ecosystems Ecology Biological system modeling Market research Soil Analytical models Hidden Markov models Driving factor ecosystem health TOPSIS model Xinjiang
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:001290493100024
WOS关键词	LAND-USE CHANGE ; SPATIAL HETEROGENEITY ; CLIMATE-CHANGE ; SERVICES ; CITY ; VARIABILITY ; PLATEAU ; DROUGHT ; TOURISM ; IMPACT
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404142
推荐引用方式 GB/T 7714	Yang, Xiaming,Zhang, Renping,Guo, Jing,et al. Analysis of the Spatiotemporal Dynamics and Drivers of Ecosystem Health in Xinjiang[J],2024,17:13387-13399.
APA	Yang, Xiaming.,Zhang, Renping.,Guo, Jing.,Zhang, Liangliang.,Gou, Xueping.,...&Liu, Xuewei.(2024).Analysis of the Spatiotemporal Dynamics and Drivers of Ecosystem Health in Xinjiang.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,17,13387-13399.
MLA	Yang, Xiaming,et al."Analysis of the Spatiotemporal Dynamics and Drivers of Ecosystem Health in Xinjiang".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17(2024):13387-13399.