干旱区生态环境知识资源中心(Arid): Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China

Arid

DOI	10.3390/rs12162601
	Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China
	Ding, Jianli; Yang, Shengtian; Shi, Qian; Wei, Yang; Wang, Fei
通讯作者	Wang, F
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:16
英文摘要	Soil salinization is a major soil health issue globally. Over the past 40 years, extreme weather and increasing human activity have profoundly changed the spatial distribution of land use and water resources across seven oases in southern Xinjiang, China. However, knowledge of the spatial distribution of soil salinization in this region has not been updated since a land survey in the 1970s to 1980s (the harmonized world soil database, HWSD) due to scarce observational data. Now, given the uncertainty raised by near future climate change, it is important to develop quick, reliable and accurate estimates of soil salinity at larger scales for a better manage strategy to the local fragile ecosystem that with limited land and water resources. This study collected electromagnetic induction (EMI) readings near surface soil to update on the spatial distribution and changes of water and salt in the region and to map apparent electrical conductivity (ECa, mS center dot m(-1)), in four coil configurations: vertical dipole in 1.50 m (ECav01) and 0.75 m (ECav05), so as the horizontal dipole in 0.75 m (ECah01) and 0.37 m (ECah05), then all the ECa coil configurations were modeled with random forest algorithm. The validation results showed an R(2)range of 0.77-0.84 and an RMSE range of 115.17-142.76 mS center dot m(-1). The validation accuracy of deep ECa dipole (ECah01, ECav05, and ECav01) was greater than that of shallow ECa (ECah05), as the former integrated a thicker portion of the subsurface. The range of EC spatial variability that can be explained by ECa is 0.19-0.36 (farmland, mean value is 0.28), grassland is 0.16-0.49 (shrub/grassland, mean value is 0.34), and bare land is 0.28-0.70 (bare land, mean value is 0.56). Among them, ECav01 has the best predictive ability. As the depth increased, the influence of soil-related variables decreased, and the contribution of climate-related variables increased. The main factor affecting ECa variation was climate-related variables, followed by vegetation-related variables and soil-related variables. Scatter plot show ECa was significantly correlated with ECe_HWSD_030 (0-30 cm, r = 0.482,p< 0.01) and ECe_HWSD_30100 (30-100 cm, r = 0.556,p< 0.01). The predicted spatial ECa maps were similar to the ECe values from HWSD, but also implies that the distribution of soil water and salt has undergone tremendous changes since 1980s. The study demonstrates that EMI data provide a reliable and cost-effective tool for obtaining high-resolution soil maps that can be used for better land evaluation and soil improvement at larger scales.
英文关键词	apparent soil electrical conductivity random forest Tarim river digital soil mapping oasis
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	SCI-E
WOS记录号	WOS:000565437900001
WOS关键词	ELECTROMAGNETIC INDUCTION ; WATER CONTENT ; RANDOM FOREST ; ORGANIC-MATTER ; MOISTURE ; VEGETATION ; DYNAMICS ; REGION ; EVAPOTRANSPIRATION ; CLASSIFICATION
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
来源机构	北京师范大学 ; 新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325986
作者单位	[Ding, Jianli; Yang, Shengtian; Wei, Yang; Wang, Fei] Xinjiang Univ, Key Lab Smart City & Environm Stimulat, Coll Resource & Environm Sci, Xinjiang Common Univ, Urumqi 830046, Peoples R China; [Yang, Shengtian] Beijing Normal Univ, Coll Water Sci, Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing 100875, Peoples R China; [Shi, Qian] Sun Yat Sen Univ, Sch Geog & Planning, West Xingang Rd, Guangzhou 510275, Peoples R China; [Shi, Qian] Sun Yat Sen Univ, Guangdong Key Lab Urbanizat & Geosimulat, West Xingang Rd, Guangzhou 510275, Peoples R China
推荐引用方式 GB/T 7714	Ding, Jianli,Yang, Shengtian,Shi, Qian,et al. Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China[J]. 北京师范大学, 新疆大学,2020,12(16).
APA	Ding, Jianli,Yang, Shengtian,Shi, Qian,Wei, Yang,&Wang, Fei.(2020).Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China.REMOTE SENSING,12(16).
MLA	Ding, Jianli,et al."Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China".REMOTE SENSING 12.16(2020).