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本文选择了典型的红壤区进行网格法分层(0～20cm、20～40cm)取样,采用地统计学与经典的统计学相结合的方法,研究了田间尺度下土壤含水量、全氮、硝态氮和有机质的空间变异特性。结果表明:土壤中各种特性信息均服从正态分布,土壤全氮和有机质含量随深度的增加而减小,而硝态氮含量随深度的增加呈增大的趋势,两个土层硝态氮的变异系数(41.80%～61.97%)远高于全氮和有机质的变异系数(6.21%～19.29%);该研究区域内的土壤含水量、全氮、硝态氮和有机质含量的变程在13.50m～32.60m之间;土壤全氮和有机质含量之间有显著的正相关性;而硝态氮与土壤含水量之间有显著的负相关性(P<0.01,n=96)。采用地统计学研究典型红壤区土壤养分和水分的空间变异性,可为研究区的精确施肥、精确灌溉以及其它的农田精确管理提供科学依据。
In this paper, a typical red soil area was selected for gridding stratification (0 ~ 20cm, 20 ~ 40cm) sampling. Based on the combination of geostatistics and classical statistics, the effects of soil moisture, total nitrogen, Spatial Variability of Nitrate Nitrogen and Organic Matter. The results showed that the information of all kinds of soil properties obeyed the normal distribution, the content of soil total nitrogen and organic matter decreased with the increase of soil depth, and the content of nitrate nitrogen increased with the increase of soil depth. The coefficient of variation of nitrogen (41.80% -61.97%) was much higher than that of total nitrogen and organic matter (6.21% -19.29%). The range of soil moisture, total nitrogen, nitrate nitrogen and organic matter in the study area Between 13.50m and 32.60m. There was a significant positive correlation between soil total nitrogen and organic matter content. There was a significant negative correlation between nitrate nitrogen and soil water content (P <0.01, n = 96). Using geostatistics to study the spatial variability of soil nutrients and water in a typical red soil region can provide a scientific basis for accurate fertilization, precision irrigation and other accurate management of farmland in the study area.