Abstract
The development and selection of process-based models requiring a limited number of readily available input parameters for accurate quantification of agricultural greenhouse gas (GHG) emissions and the identification of mitigation options is a significant objective. Of particular importance is the quantification of the fluxes of nitrous oxide (N2O), a potent and stratospheric reactant having a large emission uncertainty. Several models are currently used to predict a GHG emissions in different ecosystems, DNDC [1], DailyDayCent[2] and ECOSSE [3]. In Ireland, some models have been tested/validated but the results have not been sufficiently robust for use in the inventory process. The availability of multi-year N2O flux data and input parameters measured at field scale facilitated model comparison exercises. The main objectives were to simulate daily N2O emissions using common input parameters, evaluate their seasonal/annual fluxes and emission factors (EF) together with an examination of differences between model outputs and measured datasets.
| Original language | English |
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| Pages | 366-367 |
| Number of pages | 2 |
| Publication status | Published - 2016 |
| Event | Efficient use of different sources of nitrogen in agriculture–from theory to practice - Skara, Sweden Duration: 27 Jun 2016 → 29 Jun 2016 |
Conference
| Conference | Efficient use of different sources of nitrogen in agriculture–from theory to practice |
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| Period | 27/06/16 → 29/06/16 |
Bibliographical note
Acknowledgements: The Irish Environmental Protection Agency (EPA) for funding this project through STRIVE/NDP (2007-2013)The 19th Nitrogen workshop was arranged in Skara, Sweden, by the Swedish University of Agricultural Sciences (SLU) supported by International Nitrogen Initiative (INI) Europe.
The workshop had a scientific program with 26 oral presentations and 192 poster presentations from more than 30 countries around the world addressing important issues on efficient use of nitrogen in agriculture at different scales, from system approaches to the fine tuning of specific parts of the agricultural management.