表2概括了对于MAD数据的三种校正方法与未校正相比的相对效率.我们将R_ρ~2定义为总的环境变异中属于土壤因素部分所占的百分数,即是R_ρ~2=σ_ρ~2/(σ.~2+σ_ρ~2),这里σ_ρ~2是ρ值的方差.注意,σ_ρ~2在表2的各图案中稍有变化,因为这121个测验小区随机布置于128个非对照小区中.由表2看出校正的效率一般随着 The relative efficiencies of the three correction methods for MAD data compared to uncorrected are summarized in Table 2. We define R_ρ ~ 2 as the percentage of soil components that account for the total environmental variation, that is, R_ρ ~ 2 = σ_ρ ~ 2 σ σ σ σ 2 σ σ σ 2 σ σ σ σ 2 σ 2 σ σ σ 2 σ 2 σ σ σ 2 σ 2 σ σ σ 2 σ σ σ σ 2 σ σ σ 2 σ σ σ σ 2 σ σ 2 σ In non-control plot, it can be seen from Table 2 that the calibration efficiency usually follows