GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction
Liu, GM; Li, JB; Zhang, XC; Wang, XP; Lv, ZZ; Yang, JS; Shao, HB; Yu, SP; Yang, JS (reprint author), Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China.; Shao, HB (reprint author), Jiangsu Acad Agr Sci, Inst Agrobiotechnol, Nanjing 210014, Peoples R China. Email:gmliu@issas.ac.cn; jsyang@issas.ac.cn; shaohongbochu@126.com
发表期刊ECOLOGICAL ENGINEERING
ISSN0925-8574
2016-09-01
卷号94页码:306-314
关键词Soil Salinity Electromagnetic Induction Spatial Distribution The Yellow River Delta Eco-restoration
DOI10.1016/j.ecoleng.2016.05.037
产权排序[Liu, Guangming; Li, Jinbiao; Zhang, Xuechen; Lv, Zhenzhen; Yang, Jingsong; Yu, Shipeng] Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China; [Wang, Xiuping] Hebei Acad Agr & Forestry Sci, Inst Coast Agr, Caofeidian 063200, Peoples R China; [Shao, Hongbo] Jiangsu Acad Agr Sci, Inst Agrobiotechnol, Nanjing 210014, Peoples R China; [Shao, Hongbo] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
作者部门海岸带生物学与生物资源利用所重点实验室
英文摘要Soil salinization is one of serious ecological problems around the world, which seriously restricts the stability of ecosystem and the economic development of agriculture. Mapping and monitoring spatial distribution of soil salinity is important for management of ecology and agriculture. This study was carried out to explore the spatial distribution of soil salinity in the Yellow River Delta using the portable device EM38-MK2 with geostatistical analysis. Apparent soil electrical conductivities were measured under four kinds of measurement modes (0.5H, 0.5 V, 1.0H and 1.0 V, respectively). The results revealed that electrical conductivity of 1:5 soil to water extract (ECe) varied from 0.965 to 1.872 dS m(-1) for all sampled soil profiles, and the salinity of topsoil was the highest, which indicated that soil soluble salts accumulated to the surface. The salinity in the top layer showed strong spatial variability while salinities of other layers were moderate. Soil salinity displayed a significant zonal distribution, gradually decreasing with the increase of distance to the coastline. The regions with high ECa values were located in the north and the east of the study area, whereas regions with low ECa values were located in the south and the west parts. The correlation coefficient showed that salinities of adjacent two soil layers reached a significant level of 0.01, and gradually decreased with increasing soil depth. The linear interpretation models with ECa as independent variables and ECe as dependent variables for each depth were with R-2 between 0.828 and 0.919. The interpretation models, taking ECa and ECe of 0-15 cm depth as independent variables, and ECe of each layer in 15-100 cm depth as dependent variables, were with higher R2 between 0.930 and 0.953. The mean error (ME) showed that there was small positive deviation in 40-100cm whereas a high positive deviation in the topsoil (0-40 cm). The scatter plots also indicated that the models had better accuracy of salinity estimation in the top soil layers (0-80 cm). The results provides solid basis for eco-restoring in the Yellow River delta. (C) 2016 Elsevier B.V. All rights reserved.
文章类型Article
资助机构Agricultural Science and Technology Autonomous Innovation Foundation of Jiangsu Province(CX(15)1005) ; National Science and Technology Basic Work Project(2015FY110500) ; Key Technology R&D Program of Jiangsu Province(BE2013357) ; National Natural Science Foundation of China(41171178 ; National Basic Research Program of China(2013CB430403) ; 41171181)
收录类别SCI
语种英语
关键词[WOS]APPARENT ELECTRICAL-CONDUCTIVITY ; MICROBIAL BIOMASS ; LAND-USE ; IRRIGATION ; CHINA ; SALINIZATION ; VARIABILITY ; MANAGEMENT ; CARBON ; GROUNDWATER
研究领域[WOS]Environmental Sciences & Ecology ; Engineering
WOS记录号WOS:000381636400034
引用统计
被引频次:32[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/17224
专题海岸带生物学与生物资源利用重点实验室_海岸带生物学与生物资源保护实验室
通讯作者Liu, GM; Yang, JS (reprint author), Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China.; Shao, HB (reprint author), Jiangsu Acad Agr Sci, Inst Agrobiotechnol, Nanjing 210014, Peoples R China. Email:gmliu@issas.ac.cn; jsyang@issas.ac.cn; shaohongbochu@126.com
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Liu, GM,Li, JB,Zhang, XC,et al. GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction[J]. ECOLOGICAL ENGINEERING,2016,94:306-314.
APA Liu, GM.,Li, JB.,Zhang, XC.,Wang, XP.,Lv, ZZ.,...&shaohongbochu@126.com.(2016).GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction.ECOLOGICAL ENGINEERING,94,306-314.
MLA Liu, GM,et al."GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction".ECOLOGICAL ENGINEERING 94(2016):306-314.
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