2011Plant Nutrition and Fertilizing ScienceRequires access

Spatial variations of soil nutrients in maize production areas of Jilin province

Qiang Gao

Open publisher page 2 citations

Abstract

Statistics and geostatistics methods were adopted to study spatial variations of soil nutrients including total nitrogen(N),available N,available phosphorus(P),available potassium(K),organic matter and pH in top soils from nine counties/cities in main production areas of Jilin province.The results show that the variation coefficients of the soil nutrients are from 10% to 100%,which indicate that the variations are at their medium levels.The spatial structures(nugget/sill) of available N,available P available K and organic matter are from 25% and 75%,which indicate moderate spatial self-correlations,while pH and total N are strong spatial self-correlations.According to the decisive coefficients and the least residual sums of squares(RSS) for the model selections,all nutrients are fitted to exponential model well.The GIS-based nutrient spatial variability figures can reflect spatial distributions of the soil nutrients and provide theoretical bases for soil nutrient management and decision-making in the study area.

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Statistics and geostatistics methods were adopted to study spatial variations of soil nutrients including total nitrogen(N),available N,available phosphorus(P),available potassium(K),organic matter and pH in top soils from nine counties/cities in main production areas of Jilin province.The results show that the variation coefficients of the soil nutrients are from 10% to 100%,which indicate that the variations are at their medium levels.The spatial structures(nugget/sill) of available N,available P available K and organic matter are from 25% and 75%,which indicate moderate spatial self-correlations,while pH and total N are strong spatial self-correlations.According to the decisive coefficients and the least residual sums of squares(RSS) for the model selections,all nutrients are fitted to exponential model well.The GIS-based nutrient spatial variability figures can reflect spatial distributions of the soil nutrients and provide theoretical bases for soil nutrient management and decision-making in the study area.

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Available abstract

Statistics and geostatistics methods were adopted to study spatial variations of soil nutrients including total nitrogen(N),available N,available phosphorus(P),available potassium(K),organic matter and pH in top soils from nine counties/cities in main production areas of Jilin province.The results show that the variation coefficients of the soil nutrients are from 10% to 100%,which indicate that the variations are at their medium levels.The spatial structures(nugget/sill) of available N,available P available K and organic matter are from 25% and 75%,which indicate moderate spatial self-correlations,while pH and total N are strong spatial self-correlations.According to the decisive coefficients and the least residual sums of squares(RSS) for the model selections,all nutrients are fitted to exponential model well.The GIS-based nutrient spatial variability figures can reflect spatial distributions of the soil nutrients and provide theoretical bases for soil nutrient management and decision-making in the study area.

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

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