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Modelling uncertainty for nitrate leaching and nitrous oxide emissions based on a Swedish field experiment with organic crop rotation
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering.
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2011 (English)In: Agriculture, Ecosystems & Environment, ISSN 0167-8809, E-ISSN 1873-2305, Vol. 141, no 1-2, 167-183 p.Article in journal (Refereed) Published
Abstract [en]

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 (NO3-) leaching and nitrous oxide (N2O) 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 N2O 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 N2O 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 NO3- leaching and/or N2O emissions data. Emissions of N2O 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.

Place, publisher, year, edition, pages
2011. Vol. 141, no 1-2, 167-183 p.
Keyword [en]
Agriculture, N budget, N-2 fixation, soil, CoupModel, Calibration, Uncertainty estimations
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Other Environmental Engineering Agricultural Science
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URN: urn:nbn:se:kth:diva-35639DOI: 10.1016/j.agee.2011.02.027ISI: 000291841700019Scopus ID: 2-s2.0-79954632041OAI: oai:DiVA.org:kth-35639DiVA: diva2:429167
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QC 20110704Available from: 2011-07-04 Created: 2011-07-04 Last updated: 2017-12-11Bibliographically approved

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