Study On Spatial Variability Of Soil Nutrients In Xuancheng City

Spatial variability of soil nutrients is widespread and study the spatial variability of soil nutrient in area to guide regional agricultural fertilizer has a important significance.Therefore,this paper takes the city of Xuancheng for example,combined with traditional statistics and geostatistics methods,selected six indicators of soil nutrients(available P,available K,organic matter,available iron,available copper)and zinc(Zn)and analyze the spatial variability of the six kinds of nutrients,their best semi variance function model was constructed,their trend effects are analyzed,and the model parameters obtained from nutrient spatial interpolation and completed their spatial distribution pattern of the.According to the understanding of the income distribution of outcomes to be directly Xuancheng City six nutrient distribution in the region and abundance and deficiency,find nutrient factors limiting crop growth,can have in Xuancheng area in the guidance of reasonable fertilization of agriculture,improve the efficiency of agricultural production.At the same time,this paper will the conclusions and Huangshan City were comparative analysis,to find the similarities and differences of the two,for the future more in-depth inquiry Wannan mountain soil nutrient variation and spatial distribution characteristics of foundation.The main results were as follows:(1)The average content of soil available potassium and organic matter,available phosphorus,effective,the average contents of copper,iron and zinc effectively were 66.52g/kg,27.75 mg/kg,12.31 mg/kg,3.56 mg/kg,112.60 mg/kg,2.48 mg/kg in Xuancheng City,according to the national classification standard effective copper and iron effectively belong to the first class;Available zinc belong to the second class,organic matter and phosphorus effectively belong to the third class;Rapidly available potassium belong to the fourth class.The variation coefficient was 28.51% of soil organic matter;The variation coefficient of soil effective phosphorus is 48.17%;Soil available k coefficient of variation was 39.48%;The soil effective coefficient of variation of iron is 52.93%;Copper soil effective coefficient of variation was 38.20%;The soil effective coefficient of variation was 42.34%,the selected nutrient variation belong to medium level.(2)The soil nutrient exist space variation,the Semivariance model of effective iron and copper effectively is spherical model,nutrient for exponential model is the effective phosphorus,the Semivariance model of the effective phosphorus,organic matter,availablepotassium and zinc effectively is exponential model.The area is given priority to with exponential model and spherical model.(3)From the viewpoint of the influence factors of nutrient spatial variation,effective iron mainly influence of the soil characteristics.Soil types,terrain factor for the structural factors,the effective variation characteristics of organic matter,available p,available k,copper and zinc effectively affected by structural factors and random factor.The effects of Soil texture,soil types and soil pH Soil texture,soil types and soil pH on nutrient spatial variation was significant.(4)The spatial distribution of nutrient showed that the spatial distribution of soil nutrient situation have bigger difference in the same area or different areas.Trace elements have larger regional distribution.The distribution of a large number of elements is not complicated.Relatively high nutrient content distributed in Jixi County,Jingxian County,Ningguo City,low nutrient content area has Xuanzhou County,LangXi County,Guangde County and Jingde County.Nutrient County can be intuitive show that nutrient abundance in the area,can guide the nutrient management in areas.(5)The spatial variation of Xuancheng city and Huangshan City are analyzed in simple comparison in the horizontal direction.The results show that regional nutrient spatial variation degree is the same.The spatial variation belongs to moderate,but have different sort;Exponential model is preferred.Nutrient spatial correlation exist differences.Not have one spatial auto-correlation properties can use by two regions.