干旱区生态环境知识资源中心(Arid): Regional soil salinity spatiotemporal dynamics and improved temporal stability analysis in arid agricultural areas

Arid

DOI	10.1007/s11368-021-03074-y
	Regional soil salinity spatiotemporal dynamics and improved temporal stability analysis in arid agricultural areas
	Sun, Guanfang; Zhu, Yan; Ye, Ming; Yang, Yang; Yang, Jinzhong; Mao, Wei; Wu, Jingwei
通讯作者	Zhu, Y (corresponding author), Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China.
来源期刊	JOURNAL OF SOILS AND SEDIMENTS
ISSN	1439-0108
EISSN	1614-7480
出版年	2022
英文摘要	Purpose Monitoring and evaluating spatiotemporal dynamics of soil salinity over large areas for an extended period is important for keeping crop yield in salt-affected areas, but difficult due to its high variability. In this study, measurements of soil salinity with 68 sampling sites at different depth from top soil to 1.8 m were carried out in 2017-2018 to understand soil salinity variability and temporal stability at an agricultural area (> 80 km(2)). Methods The spatial variability and mean of soil salinity was estimated by the geostatistical analysis and temporal stability analysis, respectively. Then, improved temporal stability analysis was proposed by dividing samples into 7 groups, and mean soil salinity in each group was estimated by temporal stability analysis. Lastly, monitoring network was recommended to evaluate long-term soil salinity. Results and discussion Strong spatial dependency of soil salinity was found with most degree of spatial dependence smaller than 25%. The temporal stability analysis was difficult to choose the representative sites due to large range of mean relative difference and standard deviation of relative difference of soil salinity. The predictions of improved temporal stability analysis were significantly improved with mean relative error of soil salinity means ranging from - 2.72 to 1.61%, and determination coefficient more than 0.90. Spatial distribution of soil salinity determined by 32 long-term soil salinity monitoring locations was consistent with that of all 68 sampling locations. Conclusion The improved temporal stability analysis combined with geostatistical analysis can obtain spatial pattern and spatial mean of regional soil salinity, and improve monitoring efficiency greatly.
英文关键词	Regional soil salinity variability Arid agricultural area Temporal stability analysis Geostatistical analysis Spatial mean of soil salinity
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000702593400001
WOS关键词	SPATIAL VARIABILITY ; WATER CONTENT ; LOESS PLATEAU ; MOISTURE ; PREDICTION ; RIVER ; TIME ; INTERPOLATION ; IRRIGATION ; MANAGEMENT
WOS类目	Environmental Sciences ; Soil Science
WOS研究方向	Environmental Sciences & Ecology ; Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364026
作者单位	[Sun, Guanfang; Zhu, Yan; Yang, Yang; Yang, Jinzhong; Mao, Wei; Wu, Jingwei] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China; [Ye, Ming] Florida State Univ, Dept Earth Ocean & Atmospher Sci, Tallahassee, FL 32306 USA
推荐引用方式 GB/T 7714	Sun, Guanfang,Zhu, Yan,Ye, Ming,et al. Regional soil salinity spatiotemporal dynamics and improved temporal stability analysis in arid agricultural areas[J],2022.
APA	Sun, Guanfang.,Zhu, Yan.,Ye, Ming.,Yang, Yang.,Yang, Jinzhong.,...&Wu, Jingwei.(2022).Regional soil salinity spatiotemporal dynamics and improved temporal stability analysis in arid agricultural areas.JOURNAL OF SOILS AND SEDIMENTS.
MLA	Sun, Guanfang,et al."Regional soil salinity spatiotemporal dynamics and improved temporal stability analysis in arid agricultural areas".JOURNAL OF SOILS AND SEDIMENTS (2022).