2006Xinjiang nongye kexueRequires access

Study on Spatial Variability of Nutrients in Vegetable Soil in Urumqi

Shu‐Huang Chen

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Abstract

Geostatistics combined with GIS was applied to analyze the spatial variability of soil nutrients in topsoil(0~20 cm) in Urumqi County of Xinjiang.Soil nutrient data in this study including available N(alkaline hydrolyzing nitrogen),pure N,available K,available P and organic matter were analyzed. The results showed that the semivariograms of soil nutrients were best described by linear without sill model except for that of pure N,which was best fitted by spherical model.Soil organic matter、available P and available K presented strong spatial dependence,soil available N moderate spatial dependence,and soil pure N weak dependence.The spatial variability of organic matter、available P and available K was mainly produced by structural factor,while that of available N and pure N was primarily caused by random factor.However,their spatial heterogeneity degree was different :the degree of available N was higher,and that of pure N was lower.

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What this paper is about

Geostatistics combined with GIS was applied to analyze the spatial variability of soil nutrients in topsoil(0~20 cm) in Urumqi County of Xinjiang.Soil nutrient data in this study including available N(alkaline hydrolyzing nitrogen),pure N,available K,available P and organic matter were analyzed. The results showed that the semivariograms of soil nutrients were best described by linear without sill model except for that of pure N,which was best fitted by spherical model.Soil organic matter、available P and available K presented strong spatial dependence,soil available N moderate spatial dependence,and soil pure N weak dependence.The spatial variability of organic matter、available P and available K was mainly produced by structural factor,while that of available N and pure N was primarily caused by random factor.However,their spatial heterogeneity degree was different :the degree of available N was higher,and that of pure N was lower.

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Available abstract

Geostatistics combined with GIS was applied to analyze the spatial variability of soil nutrients in topsoil(0~20 cm) in Urumqi County of Xinjiang.Soil nutrient data in this study including available N(alkaline hydrolyzing nitrogen),pure N,available K,available P and organic matter were analyzed. The results showed that the semivariograms of soil nutrients were best described by linear without sill model except for that of pure N,which was best fitted by spherical model.Soil organic matter、available P and available K presented strong spatial dependence,soil available N moderate spatial dependence,and soil pure N weak dependence.The spatial variability of organic matter、available P and available K was mainly produced by structural factor,while that of available N and pure N was primarily caused by random factor.However,their spatial heterogeneity degree was different :the degree of available N was higher,and that of pure N was lower.

Key concepts: Topsoil, Geostatistics, Environmental science, Nutrient, Organic matter, Spatial variability, Soil science, Spatial dependence

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