2005Heilongjiang Bayi Nongken Daxue xuebaoRequires access

Study on Spatial Variability of Soil Nutrients in The Precision Agriculture Demonstration Plot of Heilongjiang Province

Rui Zhai

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Abstract

Observing points by grid were made in field 129 hm2 and adopted method of Ag132 DGPS position. Soil samples were obtained under land of 0~20 cm. N, P, K and organic matter were measured in laboratory. Soil variability was studied with routine statistics method and spatial analysis method. The result showed that there existed spatial variability of soil nutrients. P, K and organic matter had medium variability. On the contrary, N has a smaller spatial variability, soil nutrient had semi-variance structure, and model best fit included Exponential, Gaussian, Pentaspherical and Gaussian. There existed medium spatial correlation in N, P, K and OM.

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What this paper is about

Observing points by grid were made in field 129 hm2 and adopted method of Ag132 DGPS position. Soil samples were obtained under land of 0~20 cm. N, P, K and organic matter were measured in laboratory. Soil variability was studied with routine statistics method and spatial analysis method. The result showed that there existed spatial variability of soil nutrients. P, K and organic matter had medium variability. On the contrary, N has a smaller spatial variability, soil nutrient had semi-variance structure, and model best fit included Exponential, Gaussian, Pentaspherical and Gaussian. There existed medium spatial correlation in N, P, K and OM.

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Available abstract

Observing points by grid were made in field 129 hm2 and adopted method of Ag132 DGPS position. Soil samples were obtained under land of 0~20 cm. N, P, K and organic matter were measured in laboratory. Soil variability was studied with routine statistics method and spatial analysis method. The result showed that there existed spatial variability of soil nutrients. P, K and organic matter had medium variability. On the contrary, N has a smaller spatial variability, soil nutrient had semi-variance structure, and model best fit included Exponential, Gaussian, Pentaspherical and Gaussian. There existed medium spatial correlation in N, P, K and OM.

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

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