【摘要】 为了从土壤化学性状角度对黑龙江典型县域黑土质量现状及演变进程进行评估,笔者对黑龙江典型县域农田黑土区636个耕层(0～20cm)土样进行了采集,应用地统计学并结合GIS空间分析技术,分析了土壤全量碳、氮、磷、钾含量的空间异质性。结果表明,全碳、全氮、全磷半变量函数曲线的理论模型符合高斯模型,全钾理论模型为指数模型。全碳、全氮、全磷具有强烈的空间相关性,其空间变异受结构性因子的影响;全钾具有中等强度的空间相关性,其空间变异受结构性因子和随机因子的影响各占1/2。土壤全碳与全氮存在极显著正相关(R=0.945,P<0.01),全碳和全氮、全磷、全钾的空间有效最小相关距离分别为635、601.4、1104.4、116.1km。更多还原

【Abstract】 636 soil plow layers (0-20 cm) were collected in Heilongjiang typical counties in order to evaluate black soil quality situation and evolution process from soil chemical properties.The spatial variability of soil total C,N,P and K were analyzed using geostatistics combined with geographical information system (GIS).The results showed that the semivariogram of total C,total N and total P was best described by the Gaussian model and that of total K by the exponential model.total C,total N and total P had taken on the strong spatial correlation and the spatial variability of those was influenced by structural factors.Spatial variability of total K was affected by structural factors and random factors in each 1/2,which belonged to the moderate correlation.Total C was very markedly correlated with total N (R=0.945,P<0.01).The effective minimum correlation distance was 635 km,601.4 km,1104.4 km and 116.1 km for total C,total N,total P and total K,respectively.更多还原