采样尺度对土壤养分空间变异分析的影响  

Effects of Sampling Scale on Soil Nutrition Spatial Variability Analysis

作　　者：潘瑜春[1,2] 刘巧芹[3] 阎波杰[1,2] 陆洲[1,2] 周艳兵[1,2] 

机构地区：[1]国家农业信息化工程技术研究中心,北京100097 [2]农业部农业信息技术重点开放实验室,北京100097 [3]石家庄经济学院,河北石家庄050031

出　　处：《土壤通报》2010年第2期257-262,共6页Chinese Journal of Soil Science

基　　金：北京市自然科学基金重点项目(4061002);农业部948项目(2006-G63)资助

摘　　要：以高密度土壤养分采样数据为数据源,通过随机抽取生成不同采样尺度的样点数据,分析采样尺度对土壤养分空间变异特征分析的影响。研究结果表明:区域土壤养分预测均值随采样尺度减小呈下降趋势,而变异系数增加;养分空间分布的全局趋势随采样尺度增大而增强,但不影响半方差模型;当采样尺度较大,样点间自相关较弱时,相对较少的样点也能满足区域统计参数估测分析需要,但不能用于空间变异特征和插值分析;当样点数大于最佳采样数时,养分统计参数、空间变异特征和插值分析随着采样尺度减小而精度提高,当采样尺度达到0.2左右时,能够满足中等空间变异的土壤养分空间插值分析需要;样点空间布局对相关距和空间插值分析精度的影响比采样尺度本身更为显著。Based on nine scale sampling datasets which randomly being extracted from intensive soil nutrient sampling data,it was analyzed that effects of sampling scale on spatial variability analysis of soil nutrient.Results showed that：（i） with the sampling scale decrease,the estimated mean of regional soil nutrient decreased,the coefficient variation increased,and the global trend of soil nutrient spatial distribution weakened,while did not change the fitting model of spatial variability;（ii） as sampling scale large and the self-correlation between soil samples weak,relatively fewer samples would be enough for the regional statistical parameters estimation but insufficient for spatial variability analysis and interpolation;（iii） as sample size larger than optimum one,the accuracy of regional statistical parameters,spatial variability characters and interpolation would be increased with the decrease of soil sampling scale,and it would meet the requirement of interpolation of soil nutrition when sampling scale lager than 0.2;（iv） effects of spatial pattern of samples on range and interpolation accuracy were more significant than sampling scale.

关 键 词：土壤养分 采样尺度 统计参数估测 空间变异特征分析 地统计空间插值 

分 类 号：S159[农业科学—土壤学] O212[农业科学—农业基础科学]