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INVESTIGATION OF SPATIAL VARIABILITY OF NUTRIENTS IN PURPLE SOIL IN JIANGJIN --WITH THE GEOSTATISTICAL METHODS

Zhu Yi-ling

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Abstract

Geostatistical methods were used in combination of GIS information to analyze the spatial distribution characteristics of organic matter, and available nitrogen, phosphorus and potassium in the 0~20 cm layer of purple soil in Jiangjin, Chongqing. The results indicated that the organic matter, available nitrogen, available potassium showed a normal distribution, others with a lognormal distribution; Semi-variogram analysis showed that the 4 soil nutrients were correlated in a given spatial range. Using the group maps of the soil nutrients with Ordinary Kriging to make a preliminary evaluation of soil fertility, it was found that second-grade soils accounted for 90% of the entire area. These results showed further application in precision agriculture.

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What this paper is about

Geostatistical methods were used in combination of GIS information to analyze the spatial distribution characteristics of organic matter, and available nitrogen, phosphorus and potassium in the 0~20 cm layer of purple soil in Jiangjin, Chongqing. The results indicated that the organic matter, available nitrogen, available potassium showed a normal distribution, others with a lognormal distribution; Semi-variogram analysis showed that the 4 soil nutrients were correlated in a given spatial range. Using the group maps of the soil nutrients with Ordinary Kriging to make a preliminary evaluation of soil fertility, it was found that second-grade soils accounted for 90% of the entire area. These results showed further application in precision agriculture.

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Available abstract

Geostatistical methods were used in combination of GIS information to analyze the spatial distribution characteristics of organic matter, and available nitrogen, phosphorus and potassium in the 0~20 cm layer of purple soil in Jiangjin, Chongqing. The results indicated that the organic matter, available nitrogen, available potassium showed a normal distribution, others with a lognormal distribution; Semi-variogram analysis showed that the 4 soil nutrients were correlated in a given spatial range. Using the group maps of the soil nutrients with Ordinary Kriging to make a preliminary evaluation of soil fertility, it was found that second-grade soils accounted for 90% of the entire area. These results showed further application in precision agriculture.

Key concepts: Variogram, Nutrient, Soil nutrients, Environmental science, Organic matter, Spatial distribution, Soil test, Soil organic matter

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