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在描述养分有效性方面,阳离子交换量(CEC)是一种重要的土壤性质。但是,在土壤分析结果中常常缺乏CEC数据,或是采用不同的测定方法进行分析。因此,有必要建立从土壤的其它性质预测CEC的方法。本试验应用回归分析方法研究了CEC与粘粒(CLAY)、有机碳(OC)和其它土壤性质之间的关系。多元回归分析结果表明,CLAY、OC和土壤pH可以解释所有土壤(n=37921)CEC变异的51%。对于各个土纲,CLAY和OC能解释淋溶土、始成土、软土和变性土的CEC变异达67%,能解释新成土和灰土的CEC变异达78%。用CLAY预测干旱土和变性土CEC的效果较差,说明除了CLAY外,还有其它因素影响着CEC的准确预测。
Cation exchange capacity (CEC) is an important soil property in describing nutrient availability. However, CEC data are often lacking in soil analysis results or analyzed using different assays. Therefore, it is necessary to establish a method of predicting CEC from other soil properties. In this study, the relationship between CEC and cosmids (CLAY), organic carbon (OC) and other soil properties was studied by regression analysis. Multiple regression analysis showed that CLAY, OC and soil pH could account for 51% of the CEC variation in all soils (n = 37921). For each soil class, CLAY and OC can explain 67% of the CEC variation of leaching soil, initial soil, soft soil and denatured soil, explaining 78% of the CEC variation of new soil and lime soil. Using CLAY to predict CEC of arid and denudated soil is less effective, indicating that besides CLAY, there are other factors that affect the accurate prediction of CEC.