Fig. 1.

The subfield scale modeling process including the databases, models, and data flow through the integrated model. LiDAR, light detection and ranging; NRCS, Natural Resources Conservation Service; RUSLE2, Revised Universal Soil Loss Eq. [2]; SCI, Soil Conditioning Index; SSURGO, Soil Survey Geographic Database provided by the Natural Resources Conservation Service; WEPS, Wind Erosion Prediction System.

 


Fig. 2.

Field 1 soil organic matter and sand fraction in the top soil horizon, surface slope, grain yield, and variable-rate removal results.

 


Fig. 3.

Field 2 soil organic matter and sand fraction in the top soil horizon, surface slope, grain yield, and variable-rate removal results.

 


Fig. 4.

Field 3 soil organic matter and sand fraction in the top soil horizon, surface slope, grain yield, and variable-rate removal results.

 


Fig. 5.

Removal fraction distribution for variable-rate harvest scenarios in each of the three fields.