Soil Nutrient Spatial Heterogeneity Analysis Of Datong District, Daqing

Soil as an independent natural body, is not a homogeneous body, but has a spatial heterogeneity of variants. In this study, four towns Daqing Datong District, as the research object, within the study area by pH, organic matter, total nitrogen, potassium, available phosphorus, available nitrogen in the six soil nutrient data processing, got 70 available soil samples, using SPSS 22.0 statistical software for its descriptive statistical analysis and correlation analysis, combining geostatistics software GS + 9.0 and ArcGIS software, study the spatial variability of soil nutrients and compare spatial interpolation prediction method to choose the best the prediction method, its spatial heterogeneity pattern analysis, provide a theoretical basis for future research. The results show that :(1)Descriptive statistical analysis: specific numerical value is smaller impact on the sample; the fluctuation range of the data in the four largest towns K, its highest degree of dispersion, the average of the lowest representative, arranged in descending order according to the range of available K> available nitrogen> organic> available P> pH> total nitrogen, total nitrogen data is relatively concentrated, the highest average number of representative; pH value and the effective performance of weak variability of nitrogen, organic matter, total N, P and K showed moderate variation; In addition to the pH value is positively correlated with organic matter, but was negatively correlated with other nutrients; a negative correlation between organic matter and total nitrogen, and other nutrients showed a positive correlation; total nitrogen and available nitrogen, available phosphorus was positively correlated negatively correlated with K; available nitrogen and available phosphorus is a negative correlation was positively correlated with K; available phosphorus and potassium were positively correlated. r value indicates that there is correlation between micro nutrients, organic matter and available nitrogen, but between there is a significant correlation at the 0.01 level(bilateral) on.( 2) Semivariogram analysis: pH, organic matter, available nitrogen and potassium Gaussian model fit better, total nitrogen and available phosphorus and spherical model fit better nutrient value in the smallest variation in pitch caused analysis error is small; the system variables have a strong spatial autocorrelation; spatial autocorrelation distance largest pH of 3720 m, is the smallest K for 2090 m.(3)Soil nutrient spatial heterogeneity pattern characteristics: pH value and predict the spatial distribution of available phosphorus ordinary Kriging method selection, available nitrogen and potassium select inverse distance weighted interpolation, select Global polynomial interpolation organic matter, total nitrogen, select local polynomial interpolation the accuracy of the best. ArcGIS software partitioning using statistics to predict the optimal interpolation space diagram nutrient heterogeneity analysis, the soil in the study area are alkaline soil, manure should be applied in acidic and alkaline, organic spatial distribution pattern of zonal distribution roughly rendered northwest- southeast direction, the content in the middle level, should pay more attention to organic fertilizer; TN distribution is more uniform, consider increasing nitrogen; available nitrogen patchy spatial distribution pattern, moderate content, and its utilization of good; available phosphorus spatial distribution pattern zonal distribution, showing roughly north to south, moderate content; potassium spatial distribution pattern of patchy moderate content.