Articles | Volume 13, issue 6
https://doi.org/10.5194/bg-13-1837-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-1837-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Mar 2016
Research article |
| 29 Mar 2016
A process-based model for ammonia emission from urine patches, GAG (Generation of Ammonia from Grazing): description and sensitivity analysis
Andrea Móring
CORRESPONDING AUTHOR
School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum
Brown Road, Edinburgh, EH9 3FF, UK
NERC, Centre for Ecology & Hydrology, Edinburgh, Bush
Estate, Midlothian, Penicuik, EH26 0QB, UK
Hungarian Meteorological Service, Kitaibel P. u. 1, 1024
Budapest, Hungary
Massimo Vieno
NERC, Centre for Ecology & Hydrology, Edinburgh, Bush
Estate, Midlothian, Penicuik, EH26 0QB, UK
Ruth M. Doherty
School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum
Brown Road, Edinburgh, EH9 3FF, UK
Johannes Laubach
Landcare Research, P.O. Box 69040, Lincoln 7640, New
Zealand
Arezoo Taghizadeh-Toosi
Department of Agroecology, Aarhus University, Blichers
Allé 20, 8830 Tjele, Denmark
Mark A. Sutton
NERC, Centre for Ecology & Hydrology, Edinburgh, Bush
Estate, Midlothian, Penicuik, EH26 0QB, UK
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Cited
14 citations as recorded by crossref.
- An improved mechanistic model for ammonia volatilization in Earth system models: Flow of Agricultural Nitrogen version 2 (FANv2) J. Vira et al. https://doi.org/10.5194/gmd-13-4459-2020
- Evaluation of a new inference method for estimating ammonia volatilisation from multiple agronomic plots B. Loubet et al. https://doi.org/10.5194/bg-15-3439-2018
- Non-stomatal exchange in ammonia dry deposition models: comparison of two state-of-the-art approaches F. Schrader et al. https://doi.org/10.5194/acp-16-13417-2016
- A climate-dependent global model of ammonia emissions from chicken farming J. Jiang et al. https://doi.org/10.5194/bg-18-135-2021
- A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 2: Livestock farming J. Jiang et al. https://doi.org/10.5194/gmd-18-5051-2025
- Process-based modelling of NH3 exchange with grazed grasslands A. Móring et al. https://doi.org/10.5194/bg-14-4161-2017
- Global warming increases ammonia emissions and reduces the efficacy of mitigation actions J. Jiang et al. https://doi.org/10.1038/s43247-026-03404-3
- Improving spatial and temporal variation of ammonia emissions for the Netherlands using livestock housing information and a Sentinel-2-derived crop map X. Ge et al. https://doi.org/10.1016/j.aeaoa.2023.100207
- Ammonia emissions from a grazed field estimated by miniDOAS measurements and inverse dispersion modelling M. Bell et al. https://doi.org/10.5194/amt-10-1875-2017
- Modelling NH3 volatilisation within a urine patch using NZ-DNDC D. Giltrap et al. https://doi.org/10.1007/s10705-017-9854-x
- Conception and parameterization of field-scale models for simulating ammonia loss from fertilized lands: a review L. Horváth et al. https://doi.org/10.1007/s40808-024-02037-9
- Global assessment of the effect of climate change on ammonia emissions from seabirds S. Riddick et al. https://doi.org/10.1016/j.atmosenv.2018.04.038
- A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 1: Land module for simulating emissions from synthetic fertilizer use J. Jiang et al. https://doi.org/10.5194/gmd-17-8181-2024
- Ammonia emission measurements of an intensively grazed pasture K. Voglmeier et al. https://doi.org/10.5194/bg-15-4593-2018
14 citations as recorded by crossref.
- An improved mechanistic model for ammonia volatilization in Earth system models: Flow of Agricultural Nitrogen version 2 (FANv2) J. Vira et al. https://doi.org/10.5194/gmd-13-4459-2020
- Evaluation of a new inference method for estimating ammonia volatilisation from multiple agronomic plots B. Loubet et al. https://doi.org/10.5194/bg-15-3439-2018
- Non-stomatal exchange in ammonia dry deposition models: comparison of two state-of-the-art approaches F. Schrader et al. https://doi.org/10.5194/acp-16-13417-2016
- A climate-dependent global model of ammonia emissions from chicken farming J. Jiang et al. https://doi.org/10.5194/bg-18-135-2021
- A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 2: Livestock farming J. Jiang et al. https://doi.org/10.5194/gmd-18-5051-2025
- Process-based modelling of NH3 exchange with grazed grasslands A. Móring et al. https://doi.org/10.5194/bg-14-4161-2017
- Global warming increases ammonia emissions and reduces the efficacy of mitigation actions J. Jiang et al. https://doi.org/10.1038/s43247-026-03404-3
- Improving spatial and temporal variation of ammonia emissions for the Netherlands using livestock housing information and a Sentinel-2-derived crop map X. Ge et al. https://doi.org/10.1016/j.aeaoa.2023.100207
- Ammonia emissions from a grazed field estimated by miniDOAS measurements and inverse dispersion modelling M. Bell et al. https://doi.org/10.5194/amt-10-1875-2017
- Modelling NH3 volatilisation within a urine patch using NZ-DNDC D. Giltrap et al. https://doi.org/10.1007/s10705-017-9854-x
- Conception and parameterization of field-scale models for simulating ammonia loss from fertilized lands: a review L. Horváth et al. https://doi.org/10.1007/s40808-024-02037-9
- Global assessment of the effect of climate change on ammonia emissions from seabirds S. Riddick et al. https://doi.org/10.1016/j.atmosenv.2018.04.038
- A dynamical process-based model for quantifying global agricultural ammonia emissions – AMmonia–CLIMate v1.0 (AMCLIM v1.0) – Part 1: Land module for simulating emissions from synthetic fertilizer use J. Jiang et al. https://doi.org/10.5194/gmd-17-8181-2024
- Ammonia emission measurements of an intensively grazed pasture K. Voglmeier et al. https://doi.org/10.5194/bg-15-4593-2018
Saved (final revised paper)
Latest update: 07 Jun 2026
Short summary
A process-based, weather-driven model for ammonia emission from a urine patch has been developed and its sensitivity to various factors assessed. The model can simulate the ammoniacal nitrogen content, pH and the water content of the soil under a urine patch.
The simulated variables were in a good agreement with the measurements. The sensitivity analysis highlighted the vital role of temperature in ammonia exchange. The model is potentially suitable for larger scale application.
A process-based, weather-driven model for ammonia emission from a urine patch has been developed...
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