基于GIS和地统计学的烟田土壤养分空间变异特征研究

基于GIS和GPS定位技术,结合网格取样,用地统计学方法研究了褐土烟区土壤养分(有机质、碱解氮、速效磷、速效钾)的空间变异规律,并绘制了养分空间分布图.结果表明:土壤养分在整个研究区内均表现出中等变异水平,其变异性大小表现为:速效磷有机质碱解氮速效钾.除有机质外,其它元素都表现出较强的空间结构性,土壤有机质的空间相关距最大,达447m,碱解氮的自相关距最小,仅123m;速效磷和速效钾的相关距分别为337m和345m.基于半方差函数模型,用普通克里格法对研究区土壤养分进行了克里格插值,结果表明:有机质在研究区内普遍缺乏,速效磷、速效钾含量中等,而碱解氮含量在整个研究区分布较复杂,呈零星装分布.

Spatial Variability of Soil Nutrients in Tobacco Field Based on Geostatistics Combined with GIS

Based on GIS and GPS positioning technology,the geostatistics method was applied to study spatial variability characteristic of soil nutrient and draw a spatial distribution picture in tobacco field. The results showed that spatial variability of soil nutrient were all moderate levels in the whole research region,and the sequence showed that APOMANAK. Expect OM,other nutrient took on strong spatial structures,the correlation distances for OM,AN,AP and AK were 447,123,337 and 345 m,respectively. Based on semi-variogram,ordinary Kriging method was applied to interpolate soil nutrient in the research region,the results showed that OM was widespread deficiency in research region,the content of AP and AK were moderate levels,while the content of AN had a distribution more complex,structural space is rather poor,with sporadic massive distribution.