《Table 2 Different combinations of environmental covariates》

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《An integrated method of selecting environmental covariates for predictive soil depth mapping》

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1) PG，pedogenetic knowledge method；PsCA，Pearson correlation analysis；GAMs，generalized additive models；RF，random forest；IM，the integrated method.2) cand＿v，PsCA＿v，GAMs＿v，RF＿v，IM＿v represent the combinations of environmental covariates derived f

The basic statistics of soil depth and environmental covariates are summarized in Table 1.Soil depth varied from 0 to 200 cm with an average of 76.75 cm，and showed a moderately high correlation of variation，with a variance coefficient of 63.59%.Based on the skewness coefficient of 0.15，soil depth had a positively-skewed distribution.The complex landscape environment was reflected by the larger amplitude of variations of some environmental covariates and the significant discrepancies between the different covariates.