Abstract

High uncertainties are common in detailed quantification of the N budget of agricultural cropping systems. The process-based CoupModel, integrated with the parameter calibration method known as Generalized likelihood uncertainty estimation (GLUE), was used here to define parameter values and estimate an N budget based on experimental data from an organic farming experiment in south-west Sweden. Data on nitrate (NO(3)(-)) leaching and nitrous oxide (N(2)O) emissions were used as a basis for quantifying N budget pools. A complete N budget with uncertainties associated with the different components of the N cycle compartments for two different fields (B2 and B4) is presented. Simulated N(2)O emissions contributed 1-2% of total N output, which corresponded to 7% and 8.7% of total N leaching for B2 and B4, respectively. Measured N(2)O emissions contributed 3.5% and 10.3% of total N leaching from B2 and B4, respectively. Simulated N inputs (deposition, plant N fixation and fertilisation) and outputs (emissions, leaching and harvest) showed a relatively small range of uncertainty, while the differences in N storage in the soil exhibited a larger range of uncertainty. One-fifth of the GLUE-calibrated parameters had a significant impact on simulated NO(3)(-) leaching and/or N(2)O emissions data. Emissions of N(2)O were strongly associated with the nitrification process. The high degree of equifinality indicated that a simpler model could be calibrated to the same field data. (C) 2011 Elsevier B.V. All rights reserved.

Keywords

Agriculture; N budget; N(2) fixation; soil; CoupModel; Calibration; Uncertainty estimations

Published in

Agriculture, Ecosystems and Environment
2011, volume: 141, number: 1-2, pages: 167-183
Publisher: Elsevier Masson

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