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When only shoulder and backslope samples were included in the analysis, nirS abundance was only a significant explanatory variable of DEA rates when soluble NPOC (proposed drivers model) was the primary explanatory variable.
Table 2 shows the group means of the three cluster/group (i.e. three categories of drivers) model finally selected on account of its higher BIC value in cluster analysis that was based on the driving performance parameters/index No. of Total Hazards, No. of Low-Speed warnings and DPI3-weighted.
We found nirS abundance to be a significant explanatory variable (P < 0.05) of DEA rates when footslope samples were included in the analysis, explaining 9% and 16% of variation depending upon whether soil gravimetric water content (greatest R2 model) or soluble NPOC (proposed drivers model) was accepted as the primary explanatory variable, respectively.
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