Study on spatial variability of soil nutrients in the plow layer in Chaoyang town
Qiubing Wang
Abstract
Qiubing Wang
Abstract
Soil nutrients statistic characteristics,spstial variability,fractal and spatial distribution of Chaoyang town in Liaoning province Changtu county were studied with geo-statistics analysis and geographical information system(GIS) technique.Results showed as follows:The soils were widely deficient of orgnic matter.The content of soil available N was relatively higher.The variation coefficients of soil available nutrients were graded as N﹤K﹤OM﹤P.Result of semi-variance analysis with geostatistics showed that nugget/sill of soil orgnic,available P range was 25%~75%,and presented moderate spatial dependence;nugget/sill of soil available N was more than 75%,and presented weak spatial dependence;nugget/sill of soil available K was less than 25%,and presented strong spatial dependence.Fractal of soil available N was highest,the data was 1.996;fractal of soil available K was lowest,the data was 1.802.The result showed that spatial distribution of available N was more complex than available K.
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Soil nutrients statistic characteristics,spstial variability,fractal and spatial distribution of Chaoyang town in Liaoning province Changtu county were studied with geo-statistics analysis and geographical information system(GIS) technique.Results showed as follows:The soils were widely deficient of orgnic matter.The content of soil available N was relatively higher.The variation coefficients of soil available nutrients were graded as N﹤K﹤OM﹤P.Result of semi-variance analysis with geostatistics showed that nugget/sill of soil orgnic,available P range was 25%~75%,and presented moderate spatial dependence;nugget/sill of soil available N was more than 75%,and presented weak spatial dependence;nugget/sill of soil available K was less than 25%,and presented strong spatial dependence.Fractal of soil available N was highest,the data was 1.996;fractal of soil available K was lowest,the data was 1.802.The result showed that spatial distribution of available N was more complex than available K.
Key concepts: Geostatistics, Sill, Spatial variability, Plough, Spatial distribution, Spatial dependence, Soil science, Environmental science