数理统计分析在土壤养分评价中的应用

以贵州贫困地区为例,依据土壤系统研究法土壤养分分级指标,采用主成分分析-系统聚类分析决策优化模型,对该贫困地区的72个旱作土壤的14项指标进行合理的数据转换,构造土壤养分状况指标筛选模型,聚类分析评价该区的土壤养分状况。其结果显示,新筛选出的AA,OM,pH,N,K,Ca,Mg和P 8个土壤养分状况指标只为原指标的60%,但足以代表该区土壤养分状况信息,从而可减少40%的分析工作量,节省财力物力和时间。新划分的4大类别土壤为今后该地区的土地合理规划及土壤保育和利用提供了科学的依据。

Application of mathematical statistical method in evaluation of soil nutrients

The 14 indexes of 72 upland soil samples from the poverty area are rationally changed the date by the principal component analysis and hierarchical clustering analysis according to the grading standard of soil nutrients,which are used to build the model for soil nutrient criterion selection and to investigate the soil nutrient status.The results show that the new soil nutrient indexes of AA,OM,pH,N,K,Ca,Mg and P are only about 60 % of the original indexes,which can represent the information of the soil nutrients.Therefore,the new mathematical statistical method can save 40 % of work amount,cost and time.The four new classified kinds of soils can provide the useful information for land planning and management in the tested area.