摘要
为分析滑县土壤养分的空间变异特征,利用GIS与地统计方法相结合的方法,对2012年的924个土壤样点数据进行了描述性统计分析、半方差函数分析和克里格插值分析。结果表明:滑县土壤有机质、全氮、有效磷和速效钾等4种养分的平均含量分别为14.81 g/kg、0.87 g/kg、16.02 mg/kg、96.72 mg/kg,变异系数处于21.8%~57%之间,属于中等变异。块金值与基台值之比分别为:50%、54.6%、89.2%、90.1%;土壤有机质和全氮具有中等空间相关性,有效磷和速效钾具有较弱的空间相关性。4种土壤养分的最优插值模型均为指数模型,土壤有机质和有效磷最优插值搜索方向为8扇形,全氮和速效钾为4扇形。滑县土壤有机质和全氮含量处于中等以下水平,有效磷和速效钾含量处于中等水平。各土壤养分含量均存在较低水平的区域,在土壤管理与施肥过程中,应注意合理调控。
To analyze the spatial variability of soil nutrients in Huaxian, based on GIS and geostatistics, descriptive statistics analysis, semivariogram analysis and Kriging analysis were carried out on 924 soil samples in 2012. The results showed that the average contents of soil organic matter, total nitrogen, available phosphorus and available potassium in Huaxian were 14.81 g/kg, 0.87 g/kg, 16.02 mg/kg and 96.72 mg/kg, respectively, and the coefficient of variation was between 21.8% and 57%, which belonged to intermediate variability. The nugget/sill ratios were 50%, 54.6%, 89.2% and 90.1%, respectively. Soil organic matter and total nitrogen had a moderate spatial correlation, and available phosphorus and available potassium had a weak spatial correlation. The optimal interpolation model of four soil nutrients was the exponential model. The optimal search directions of soil organic matter and available phosphorus were 8 sectors, and the total nitrogen and available potassium were 4 sectors. The contents of organic matter and total nitrogen in Huaxian were below the moderate level, and the contents of available phosphorus and available potassium were at a moderate level. All the soil nutrients had low content regions respectively. Reasonable regulation was required in soil management and fertilization.
作者
郭安廷
崔锦霞
许鑫
马新明
Guo Anting;Cui Jinxia;Xu Xin;Ma Xinming＇(College of Information and Management Science,Henan Agricultural University,Zhengzhou 450002;2College of Earth Sciences,Chengdu University of Technology,Chengdu 610059)
出处
《中国农学通报》
2018年第23期72-79,共8页
Chinese Agricultural Science Bulletin
基金
公益性行业(农业)科研专项经费"河南省小麦生长指标光谱检测技术体系的示范"(201303109-6)
国家科技支撑计划"粮食生产环节信息服务集成与应用"(2014BAD10B06)
国家重点研发计划"作物生长检测诊断与精确栽培技术在黄淮海麦玉主产区的示范应用"(2016YFD0300609)
河南省高等学校重点科研项目"耕地质量关键指标遥感监测技术"(152102110055)
关键词
地统计学
GIS
半方差分析
土壤养分
空间分布
geostatistics
GIS
semi-variance analysis
soil nutrient
spatial distribution
