Fig. 5: BRT analysis identifies the relative importance of 12 predictors that drive the effects of CCs on yield and SOC. | npj Sustainable Agriculture

Fig. 5: BRT analysis identifies the relative importance of 12 predictors that drive the effects of CCs on yield and SOC.

From: Optimizing cover cropping application for sustainable crop production

Fig. 5: BRT analysis identifies the relative importance of 12 predictors that drive the effects of CCs on yield and SOC.

a, b Variable importance for the effects of CCs on SOC at 0–30 cm depth with legume CCs (a) and non-legume CCs (b). d, e Variable importance of the effects of CCs on yield with legume CCs (d) and non-legume CCs (e). c, f The relationship between the model’s predicted and measured response ratios for SOC at 0–30 cm depth (c) and yield (f). The red and yellow lines in c, f represent the fitted function of legume and non-legume CCs, respectively, and the dashed gray line is the 1:1 line. The figure is drawn using the R project.

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