A Study On Soil Fertility And Its Spatial Distribution In Eastern Hebei Plain

Soil and soil fertility are the important foundation for agroforestry production and guarantee of sustainable development, soil fertility level has an important significance for development of human society.Wherefore, the systematic study has become one of the current hot issues on the soil fertility status and spatial distribution characteristics.Studing the spatial distribution of soil fertility can better understand the impact of human activities on soil fertility.This paper analyzed the properties of soil basic statistical characteristics taking Wuqiao County as the investigative object.Through ArcGIS10.1, the spatial distribution of soil fertility elements were interpolated and spatial distribution were plotted.The soil fertility was conducted a comprehensive evaluation taking advantage of the method of entropy and fuzzy evaluation.The content of total nitrogen, organic matter,nitrogen,available phosphorus were significantly increased than the second national soil survey in Wuqiao county in addition to the large decline of available K.The lack of trace elements of land area was small,and the content of trace elements was basically in the middle level. Among them, two kinds of trace elements iron and copper content was higher.There were some correlations among indicators of soil by the correlation analysis.The composite score of farmland were analyzed by principal component analysis in different towns of Wuqiao County.The result showed:Songmen township, Tiecheng town, Yangsi township and Caowa township were relatively higher in composite score value, followed by Sangyuan town, Hezhuang township, Goudianpu township, Liangji town, and Yuji town.Anling town was the lowest value in composite score.The regression analysis were fitted on soil pH, organic matter associated with each variable. The result showed:the accuracy of stepwise regression analysis was improved compared with one of Linear regression analysis with one factor, Non-linear regression analysis with one factor, multivariate linear regression analysis. The predictive ability of stepwise regression model was stronger than other models, then stepwise regression model predictive ability than several other models stronger.The soil pH, organic matter, total potassium, available potassium and available copper were approximate no trend effect by analyzing the effects of the global trends of Wuqiao soil derived elements.The trend effect available Mn, available Zn, total nitrogen, available nitrogen, total phosphorus, available phosphorus and available iron were a valid order. The results showed:the soil pH, organic matter, total N, total K, total P, available Fe,available Mn, available Cu and available Zn belonged to the exponential model and available P and available K belonged to the linear model from soil nutrients semivariogram parameters and theoretical models.The Variation was available N> available Zn>Total P>available Mn>organic matter>Total N>total K>pH>available Cu> available Fe>available K> available P by accordance with the nugget and sill ratio(C0+C1).There were significant differences among the change process of elements of soil fertility,the maximum for the total nitrogen was2592.0m,and the smallest for nitrogen and potassium were30.0m,only1.16%of the maximum value.Where fertility elements of spatial dependence of the size can be arranged as follows:Total N>pH>available Fe>available Cu>available K=available P>Total P=available Mn>organic matter=available Zn> total K=available N.The spatial distribution of soil fertility elements is a natural characteristics.The ordinary Kriging interpolation combined statistical methods was implemented for soil fertility elements in experimental zone, and analyzes and discussed the spatial distribution on soil fertility indicators in Wuqiao County. The interpolation accuracy was relatively high and reliable, through cross-validation method to test the accuracy of the various elements of soil fertility4965soil sample analysis results were evaluated comprehensively on soil nutrient indicators by entropy and fuzzy evaluation method, and the spatial distribution of soil fertility was drawn. The results showed that:Wuqiao County fertility levels was mainly third major place, followed by the sencond major place.The largest was the third major place, accounting for the county area of69.98%, followed by sencond major place, accounting for the county area of29.16%, the fourth major place area accounting for the county area of0.85%, the first major place is only accounting for the county area of0.01%.Judging from the county as a whole, the third major place of Wuqiao County were in the town of Sangyuan, Anling and Liangji in the northwest; and the second major place were in Caojia, Tiecheng and Yangjiasi in the southeastern, and the fourth major place were in Xukou, Fanzhuang and Mochang and other villages in the northwestern Anling town, and Xulianjiu villages and Moujiaan in LiangJi town. The first major place were in the west Xisongmen Village, only less area distribution.The level of nutrients from the soil of regional distribution, that is:the higher the northeast, southwest lower, the higher the eastern and western lower.