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Table 3 Gradient Boosting Machine model results for selected variables

From: Dramatic increase in water use efficiency with cumulative forest disturbance at the large forested watershed scale

Variable R2 RMSE Relative importance of independent predictor variables: forest disturbance and climate
CECA Tmax Tmin P PET
Q 0.80 8 16.8 11.6 30.5 25.7 15.5
Runoff ratio 0.86 0.03 0.0 11.3 30.3 41.6 16.8
ET 0.90 29 29.1 0.0 0.0 70.9 0.0
WUE 0.93 0.04 44.4 0.0 0.0 55.6 0.0
  1. Where each predictor variable’s relative importance ranges from 0 to 100, CECA cumulative clear-cut area, Tmean  annual average daily temperature, Tmin  annual minimum daily temperature, Tmax annual maximum daily temperature, P  precipitation, PET potential evapotranspiration, ET  evapotranspiration, Q mean annual streamflow, WUE water use efficiency, and RMSE  root mean square error
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