干旱区生态环境知识资源中心(Arid): Ecological Flow Management Identified as Leading Driver of Grassland Greening in the Gobi Desert Using Deep Learning

Arid

DOI	10.1029/2023GL103369
	Ecological Flow Management Identified as Leading Driver of Grassland Greening in the Gobi Desert Using Deep Learning
	Li, Siqi; Zheng, Yi; Han, Feng; Xu, Peng; Chen, Anping
通讯作者	Zheng, Y
来源期刊	GEOPHYSICAL RESEARCH LETTERS
ISSN	0094-8276
EISSN	1944-8007
出版年	2023
卷号	50 期号:11
英文摘要	This study develops a convolutional recurrent deep learning model to accurately predict fine-resolution spatiotemporal changes in grass coverage in arid regions. Applying the model to the Gobi Desert reveals that ecological flow regulation contributes to 61.8% of the total increase in grass cover (130.6 km(2)) in the study area (40,423 km(2)) over 2005-2015, nearly triple the contribution of local climate change (+23.0%). The transboundary hydrological impact (+32.4%) and interactions between drivers (-17.2%) are also significant. In an intermediate future climate change scenario, we found no statistically significant trend for the total grass-covered area due to the counteracting effects among different drivers. The study findings suggest that timely, adaptive and spatially heterogeneous ecological flow management is crucial for addressing grassland degradation in arid regions. This study provides a promising approach to land surface modeling under climate change and human disturbance and expands the existing understanding of the global greening process.
英文关键词	deep learning grassland ecological flow drylands ecohydrology artificial intelligence
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:000998515800001
WOS关键词	FRACTIONAL VEGETATION COVER ; SPECTRAL MIXTURE ANALYSIS ; TREND ANALYSIS ; RIVER-BASIN ; EARTH ; GROUNDWATER ; DEGRADATION ; ALGORITHMS ; FEEDBACKS ; MODEL
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396727
推荐引用方式 GB/T 7714	Li, Siqi,Zheng, Yi,Han, Feng,et al. Ecological Flow Management Identified as Leading Driver of Grassland Greening in the Gobi Desert Using Deep Learning[J],2023,50(11).
APA	Li, Siqi,Zheng, Yi,Han, Feng,Xu, Peng,&Chen, Anping.(2023).Ecological Flow Management Identified as Leading Driver of Grassland Greening in the Gobi Desert Using Deep Learning.GEOPHYSICAL RESEARCH LETTERS,50(11).
MLA	Li, Siqi,et al."Ecological Flow Management Identified as Leading Driver of Grassland Greening in the Gobi Desert Using Deep Learning".GEOPHYSICAL RESEARCH LETTERS 50.11(2023).