Modelling uncertainty for nitrate leaching and nitrous oxide emissions based on a Swedish field experiment with organic crop rotation
(2011) In Agriculture, Ecosystems & Environment 141(02-jan). p.167-183- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4448655
- author
- Nylinder, Josefine ; Stenberg, Maria ; Jansson, Per-Erik ; Klemedtsson, Åsa Kasimir ; Weslien, Per and Klemedtsson, Leif
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Agriculture, N budget, N(2) fixation, soil, CoupModel, Calibration, Uncertainty estimations
- in
- Agriculture, Ecosystems & Environment
- volume
- 141
- issue
- 02-jan
- pages
- 167 - 183
- publisher
- Elsevier
- external identifiers
-
- scopus:79954632041
- ISSN
- 1873-2305
- DOI
- 10.1016/j.agee.2011.02.027
- language
- English
- LU publication?
- no
- id
- be626020-a270-4f25-93df-ba021e70a651 (old id 4448655)
- date added to LUP
- 2016-04-01 14:44:51
- date last changed
- 2022-02-19 20:41:29
@article{be626020-a270-4f25-93df-ba021e70a651,
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.}},
author = {{Nylinder, Josefine and Stenberg, Maria and Jansson, Per-Erik and Klemedtsson, Åsa Kasimir and Weslien, Per and Klemedtsson, Leif}},
issn = {{1873-2305}},
keywords = {{Agriculture; N budget; N(2) fixation; soil; CoupModel; Calibration; Uncertainty estimations}},
language = {{eng}},
number = {{02-jan}},
pages = {{167--183}},
publisher = {{Elsevier}},
series = {{Agriculture, Ecosystems & Environment}},
title = {{Modelling uncertainty for nitrate leaching and nitrous oxide emissions based on a Swedish field experiment with organic crop rotation}},
url = {{http://dx.doi.org/10.1016/j.agee.2011.02.027}},
doi = {{10.1016/j.agee.2011.02.027}},
volume = {{141}},
year = {{2011}},
}