Abstract

The use of mathematical models has been proven to be cost-effective in determining soil productivity changes due to various agricultural management practices. Nevertheless, many models need to be validated prior to their application. Though many models are physically based, calibration is often needed to better explain weather and land use change effects. In this study, runoff and soil loss simulated by the EPIC (Environmental Policy Integrated Climate — previously known as Erosion Productivity Impact Calculator) model are presented for three small watersheds in the United States, which had different land use and cropping systems. Each data set was divided temporally into testing and training periods. The EPIC model was calibrated using the observed weather, runoff, and soil loss data. Outputs from the model (runoff and soil loss) from the three watersheds for the testing period are presented.

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