4.6 Article

GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction

期刊

ECOLOGICAL ENGINEERING
卷 94, 期 -, 页码 306-314

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ecoleng.2016.05.037

关键词

Soil salinity; Electromagnetic induction; Spatial distribution; The Yellow River delta; Eco-restoration

资金

  1. Agricultural Science and Technology Autonomous Innovation Foundation of Jiangsu Province [CX(15)1005]
  2. National Science and Technology Basic Work Project [2015FY110500]
  3. Key Technology R&D Program of Jiangsu Province [BE2013357]
  4. National Natural Science Foundation of China [41171178, 41171181]
  5. National Basic Research Program of China [2013CB430403]

向作者/读者索取更多资源

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.

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