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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.
Based on GIS and GPS positioning technology, the spatial variability of soil nutrients (organic matter, available nitrogen, available phosphorus, available potassium) in the loess plateau was studied by geostatistics and grid sampling, and the spatial distribution of nutrients was plotted. The results showed that soil nutrients showed moderate variation throughout the study area, and their variability showed that available phosphorus> organic matter> alkali hydrolyzable nitrogen> available potassium. All the other elements showed strong spatial structure except for organic matter The spatial correlation of soil organic matter was the largest, reaching 447 m, and the correlation coefficient of available nitrogen was only 123 m. The correlation distances of available phosphorus and available potassium were 337 m and 345 m, respectively. Based on the semi-variance function model, The results showed that there was a general lack of organic matter in the study area, medium available phosphorus and available potassium, while the content of available nitrogen was more complicated throughout the study area, with sporadic distribution.