TY - JOUR
T1 - Application of the DNDC model to tile-drained Illinois agroecosystems
T2 - Model calibration, validation, and uncertainty analysis
AU - Tonitto, Christina
AU - David, Mark B.
AU - Drinkwater, Laurie E.
AU - Li, Changsheng
PY - 2007/5
Y1 - 2007/5
N2 - We applied the Denitrification-Decomposition (DNDC) model to a typical corn-soybean rotation on silty clay loams with tile-drainage in east-central Illinois (IL). Model outcomes are compared to 10 years of observed drainage and nitrate leaching data aggregated across the Embarras River watershed. We found that accurate simulation of NO3-N leaching and drainage dynamics required significant changes to key soil physical and chemical parameters relative to their default values. Overall, our calibration of DNDC resulted in a good statistical fit between model output and IL data for crop yield, NO 3-N leaching, and drainage. Our modifications to DNDC reduced the RMSE from 9.4 to a range of 1.3-2.9 for NO3-N leaching and from 51.2 to a range of 13-23.6 for drainage. Modeling efficiency ranged from 0.25 to 0.85 in comparison with measured drainage and leachate values and from 0.65 to 1 in comparison with crop yield data. However, analysis of simulation results at a monthly time step indicated that DNDC consistently underpredicted peak drainage events. Underprediction ranged from 50 to 100 mm month-1 following three extreme precipitation events, a flux equivalent to 0.25-0.5 of the total measured monthly flux. Our simulations demonstrated high interannual variation in nitrate leaching with average annual NO3-N loss of 24 kg N ha -1, peak annual NO3-N loss of 58 kg N ha-1 and low annual NO3-N loss of 1-5 kg N ha-1.
AB - We applied the Denitrification-Decomposition (DNDC) model to a typical corn-soybean rotation on silty clay loams with tile-drainage in east-central Illinois (IL). Model outcomes are compared to 10 years of observed drainage and nitrate leaching data aggregated across the Embarras River watershed. We found that accurate simulation of NO3-N leaching and drainage dynamics required significant changes to key soil physical and chemical parameters relative to their default values. Overall, our calibration of DNDC resulted in a good statistical fit between model output and IL data for crop yield, NO 3-N leaching, and drainage. Our modifications to DNDC reduced the RMSE from 9.4 to a range of 1.3-2.9 for NO3-N leaching and from 51.2 to a range of 13-23.6 for drainage. Modeling efficiency ranged from 0.25 to 0.85 in comparison with measured drainage and leachate values and from 0.65 to 1 in comparison with crop yield data. However, analysis of simulation results at a monthly time step indicated that DNDC consistently underpredicted peak drainage events. Underprediction ranged from 50 to 100 mm month-1 following three extreme precipitation events, a flux equivalent to 0.25-0.5 of the total measured monthly flux. Our simulations demonstrated high interannual variation in nitrate leaching with average annual NO3-N loss of 24 kg N ha -1, peak annual NO3-N loss of 58 kg N ha-1 and low annual NO3-N loss of 1-5 kg N ha-1.
KW - Agroecosystem model
KW - Corn
KW - Nitrate leaching
KW - Nitrogen management
KW - Soybean
KW - Tile-drainage
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U2 - 10.1007/s10705-006-9076-0
DO - 10.1007/s10705-006-9076-0
M3 - Article
AN - SCOPUS:34247541563
SN - 1385-1314
VL - 78
SP - 51
EP - 63
JO - Nutrient Cycling in Agroecosystems
JF - Nutrient Cycling in Agroecosystems
IS - 1
ER -