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1000 Titel
  • A comparison of farm-scale models to estimate greenhouse gas emissions from dairy farms in Europe
1000 Autor/in
  1. Hutchings, Nicholas |
  2. De Haan, Michel |
  3. Özkan, Şeyda |
  4. Sandars, Daniel |
1000 Erscheinungsjahr 2015
1000 Publikationstyp
  1. Kongressschrift |
  2. Artikel |
1000 Online veröffentlicht
  • 2015-05-11
1000 Erschienen in
1000 Quellenangabe
  • 5:SP5-26
1000 Übergeordneter Kongress
1000 Copyrightjahr
  • 2015
1000 Verlagsversion
  • https://ojs.macsur.eu/index.php/Reports/article/view/SP5-26 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Farm-scale models quantify the cycling of nitrogen (N) and carbon (C) so are powerful tools for assessing the impact of management-related decisions on greenhouse gas (GHG) emissions, especially on dairy cattle farms, where the internal cycling is particularly important. Farm models range in focus (economic, environmental) and the detail with which they represent C and N cycling. We compared four models from this range in terms of on-farm production and emissions of GHGs, using standardized scenarios. The models compared were SFarMod, DairyWise, FarmAC and HolosNor. The scenarios compared were based on two soil types (sandy clay versus heavy clay), two roughage systems (grass only versus grass and maize), and two climate types (Eindhoven versus Santander). Standard farm characteristics were; area (50 ha), milk yield (7000 kg/head/year), fertiliser (275 kg N and 150 kg N/ha/year for grass and maize, respectively). Potential yields for grass 10t dry matter (DM)/ha/year in both areas, maize 14 t DM/ha/ year in Eindhoven and 18t DM/ha/ year in Santander. The import of animal feed and the export/import manure and forages was minimized. Similar total farm direct GHG emissions for all models disguised a variation between models in the contribution of the different on-farm sources. There were large differences between models in the predictions of indirect GHG emission from nitrate leaching. Results could be explained by differences between models in the assumptions made and detail with which underlying processes were represented. We conclude that the choice of an appropriate farm model is highly dependent upon the role it should play and the context within which it will operate, so the current diversity of farm models will continue into the future.
1000 Fächerklassifikation (DDC)
1000 DOI 10.4126/FRL01-006413589 |
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-8794-5549|https://frl.publisso.de/adhoc/creator/RGUgSGFhbiwgTWljaGVs|https://orcid.org/0000-0003-3407-0763|https://orcid.org/0000-0002-6560-8258
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