中国表层土壤全氮的空间模拟分析  

Spatial simulation of topsoil TN at the national scale in China

作　　者：李启权[1,2,3] 岳天祥[1] 范泽孟[1] 杜正平[1] 陈传法[1,3] 卢毅敏[1,3] 

机构地区：[1]中国科学院地理科学与资源研究所,北京100101 [2]四川农业大学资源环境学院,雅安625014 [3]中国科学院研究生院,北京100039

出　　处：《地理研究》2010年第11期1981-1992,共12页Geographical Research

基　　金：国家杰出青年科学基金(40825003);国家科技支撑计划课题(2006BAC08B04);国家科技支撑计划专题(2006BAC08B0505);中国科学院知识创新工程重要方向项目(kzcx2-yw-429);国家973项目(2009CB421105)

摘　　要：基于第二次全国土壤普查5336个典型土壤剖面数据,分析表土全氮(A层)与环境因素的相关关系,利用多元回归模型和HASM模型结合的方法模拟中国国家尺度上表层土壤全氮的空间分布格局。结果表明:对350个检验点模拟结果的平均绝对误差和平均相对误差为0.67g.kg-1和61.06%,与普通克里格法相比分别降低了0.05g.kg-1和17.53%;对样点分布较少的西北地区的模拟结果也更符合实际情况。多元回归模型和HASM模型结合的方法考虑了环境因素的影响,可作为目前模拟大尺度土壤性质空间分布相对有效的方法。Based on 5336 typical soil profiles collected during the second national soil survey period,the correlation between topsoil total nitrogen（A horizon） and 11 environmental factors were analyzed and spatial distribution of topsoil nitrogen（TN） at national scale in China was simulated with the combination of multiple regression model and HASM model.Results indicated that,mean absolute error and mean relative error of the predicted value for 350 validation points were 0.67 g·kg-1 and 61.06%;compared with ordinary kriging method,the two errors were reduced by 0.05 g·kg-1 and 17.53% respectively.Besides,simulation result for northwest China,where the density of sample points was much smaller,was much closer to the actual situation.Thus,a combined method of multiple regression model and HASM model,which took the influence of environmental factors into account,can be used as an effective method for simulating spatial distribution of soil properties at a large scale.

关 键 词：HASM方法 土壤全氮 国家尺度 空间模拟 

分 类 号：S153.6[农业科学—土壤学]