干旱区生态环境知识资源中心(Arid): Temporal-Spatial changes of monthly vegetation growth and their driving forces in the ancient Yellow river irrigation system, China

Arid

DOI	10.1016/j.jconhyd.2021.103911
	Temporal-Spatial changes of monthly vegetation growth and their driving forces in the ancient Yellow river irrigation system, China
	Li, Kailong; Huang, Guohe; Zhang, Xiaoyue; Lu, Chen; Wang, Shuo
通讯作者	Huang, GH (corresponding author), 3737 Wascana Pkwy, Regina, SK, Canada.
来源期刊	JOURNAL OF CONTAMINANT HYDROLOGY
ISSN	0169-7722
EISSN	1873-6009
出版年	2021
卷号	243
英文摘要	Irrigation systems play vital roles not only in food production but also in supporting ecosystems. Understanding how the ecosystem has evolved in response to human activities is crucial for sustainable food production, especially for arid and semi-arid regions. In this study, we examined the trends of vegetation growth on a monthly basis in the ancient Yellow River irrigation system in Ningxia, China. We used the leaf area index (LAI) to characterize the vegetation growth from 2007 to 2019. The LAI trends were associated with a series of driving forces, explaining the spatial and temporal change of vegetation growth. With the provision of the Wilks feature importance method, 2-month averaged air temperature and irrigation were identified as the two most important variables for monthly LAI simulation. Future climate projections based on the Regional Climate Model system (RegCM) suggested dryer and longer summers under the RCP 8.5 scenario. These changes will increase the crop water demand during the growing months. In the future, water conflict might be further intensified in May, in which the present irrigation water has already led to a decreased crop growth. Our findings demonstrated that the Mann Kendall monthly trend analysis could provide more helpful information for monitoring the vegetation growth than the trend analysis on a yearly and seasonal basis.
英文关键词	Leaf area index Mann Kendall trend analysis Stepwise clustered analysis Reginal climate model projection
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000718059600004
WOS关键词	LEAF-AREA INDEX ; ACCURACY ; FORESTS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374101
作者单位	[Li, Kailong; Huang, Guohe; Zhang, Xiaoyue; Lu, Chen] Univ Regina, Fac Engn, Regina, SK S4S 0A2, Canada; [Wang, Shuo] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Li, Kailong,Huang, Guohe,Zhang, Xiaoyue,et al. Temporal-Spatial changes of monthly vegetation growth and their driving forces in the ancient Yellow river irrigation system, China[J],2021,243.
APA	Li, Kailong,Huang, Guohe,Zhang, Xiaoyue,Lu, Chen,&Wang, Shuo.(2021).Temporal-Spatial changes of monthly vegetation growth and their driving forces in the ancient Yellow river irrigation system, China.JOURNAL OF CONTAMINANT HYDROLOGY,243.
MLA	Li, Kailong,et al."Temporal-Spatial changes of monthly vegetation growth and their driving forces in the ancient Yellow river irrigation system, China".JOURNAL OF CONTAMINANT HYDROLOGY 243(2021).