2004Journal of the South China Agricultural UniversityRequires access

Spatial variability analysis of soil nutrients in Guangzhou Cencun cropfield

Li Yongtao

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Abstract

Geostatistical methods were used in combination of GIS information analyze the spatial distribution characteristics of organic matter, and available nitrogen, phosphorus and potassium in the 0 - 20 cm layer of Cencun cropfield in Gangzhou suburb. The results indicated that the organic matter, and available nitrogen showed a normal distribution, available phosphorus and potassium with a lognormal distribution; Semi-variance analysis showed that the 4 soil nutrient content were strong correlated in a given spatial range. The distributing maps of soil nutrients were drawn by using Ordinary Kriging, and the distributing results of soil nutrient were analyzed. These results showed further application in exurban agriculture production.

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What this paper is about

Geostatistical methods were used in combination of GIS information analyze the spatial distribution characteristics of organic matter, and available nitrogen, phosphorus and potassium in the 0 - 20 cm layer of Cencun cropfield in Gangzhou suburb. The results indicated that the organic matter, and available nitrogen showed a normal distribution, available phosphorus and potassium with a lognormal distribution; Semi-variance analysis showed that the 4 soil nutrient content were strong correlated in a given spatial range. The distributing maps of soil nutrients were drawn by using Ordinary Kriging, and the distributing results of soil nutrient were analyzed. These results showed further application in exurban agriculture production.

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Available abstract

Geostatistical methods were used in combination of GIS information analyze the spatial distribution characteristics of organic matter, and available nitrogen, phosphorus and potassium in the 0 - 20 cm layer of Cencun cropfield in Gangzhou suburb. The results indicated that the organic matter, and available nitrogen showed a normal distribution, available phosphorus and potassium with a lognormal distribution; Semi-variance analysis showed that the 4 soil nutrient content were strong correlated in a given spatial range. The distributing maps of soil nutrients were drawn by using Ordinary Kriging, and the distributing results of soil nutrient were analyzed. These results showed further application in exurban agriculture production.

Key concepts: Soil nutrients, Nutrient, Environmental science, Organic matter, Phosphorus, Spatial distribution, Soil organic matter, Geostatistics

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