2010T'u Jang T'ung PaoRequires access

Spatial Variability of Soil Salinity in Artificial Green Land of Mobile Desert

Yan Sun

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Abstract

The objective of this study was to explore the spatial distribution of soil salinity in artificial green land of mobile desert. Classical statistical coupling with geo- statistical theory was used to characterize the spatial variability of soil salinity in topsoil (0 - 5 cm) and subsoil (20 - 40 cm), respectively. The results showed that the topsoil content of soil salinity and its ions was more than that of subsoil. The result of semi- variance analysis showed that the soil salinity and its ions in topsoil had strong spatial variability and spatial autocorrelation, and their spatial variability was primarily result from structural factors, and the negative correlation was existed between soil salinity and elevation, which indicates that the spatial distribution of soil salinity has the vertical gradient. The spatial distribution of subsoil salinity tended to homogeneity, which was primarily result from random factors. The results of Kriging interpolation maps and spatial analysis showed that the area of artificial green land affected by salinization in topsoil accounted for 64.9%, and the main style was light salinization in them. The degree of soil salinization in interdune was more serious than that in windward and leeward slope of complex ridges.

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What this paper is about

The objective of this study was to explore the spatial distribution of soil salinity in artificial green land of mobile desert. Classical statistical coupling with geo- statistical theory was used to characterize the spatial variability of soil salinity in topsoil (0 - 5 cm) and subsoil (20 - 40 cm), respectively. The results showed that the topsoil content of soil salinity and its ions was more than that of subsoil. The result of semi- variance analysis showed that the soil salinity and its ions in topsoil had strong spatial variability and spatial autocorrelation, and their spatial variability was primarily result from structural factors, and the negative correlation was existed between soil salinity and elevation, which indicates that the spatial distribution of soil salinity has the vertical gradient. The spatial distribution of subsoil salinity tended to homogeneity, which was primarily result from random factors. The results of Kriging interpolation maps and spatial analysis showed that the area of artificial green land affected by salinization in topsoil accounted for 64.9%, and the main style was light salinization in them. The degree of soil salinization in interdune was more serious than that in windward and leeward slope of complex ridges.

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Available abstract

The objective of this study was to explore the spatial distribution of soil salinity in artificial green land of mobile desert. Classical statistical coupling with geo- statistical theory was used to characterize the spatial variability of soil salinity in topsoil (0 - 5 cm) and subsoil (20 - 40 cm), respectively. The results showed that the topsoil content of soil salinity and its ions was more than that of subsoil. The result of semi- variance analysis showed that the soil salinity and its ions in topsoil had strong spatial variability and spatial autocorrelation, and their spatial variability was primarily result from structural factors, and the negative correlation was existed between soil salinity and elevation, which indicates that the spatial distribution of soil salinity has the vertical gradient. The spatial distribution of subsoil salinity tended to homogeneity, which was primarily result from random factors. The results of Kriging interpolation maps and spatial analysis showed that the area of artificial green land affected by salinization in topsoil accounted for 64.9%, and the main style was light salinization in them. The degree of soil salinization in interdune was more serious than that in windward and leeward slope of complex ridges.

Key concepts: Topsoil, Subsoil, Soil salinity, Salinity, Environmental science, Spatial variability, Soil science, Spatial distribution

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