Conference Paper

Soil, climate and cropping system effects on N 2 O accounting in the LCA of faba bean and cereals

Conference: LCA food 2012


Greenhouse gas (GHG) emissions from soils cause uncertainties within Agricultural LCA. N 2 O affects global warming and is esti-mated with IPCC guidelines, agroecosystem models or direct measurements. CERES-EGC model was used to estimate N 2 O emis-sions from faba bean and winter cereals grown in two trials (ICC and CIMAS) with different climates. Model outputs were compared with IPCC estimates. Simulated N 2 O emission patterns showed emissions can be independent from fertiliser application dates or rates. This was due to soil moisture, rainfall and farming practices. Results showed the IPCC procedure estimated higher annual cere-als emissions of 740 g N 2 O-N ha -1 y -1 than simulation results and a lower estimation of 304 g N 2 O-N ha -1 y -1 for faba bean. Results revealed inclusion of climate, soil properties and management resulted in major variations of N 2 O emissions which CERES-EGC was able to capture. Thus, model estimates may increase accuracy of soil GHG emission in Agricultural LCA.

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DOI: 10.13140/2.1.4912.6401 · Available from: Pietro Goglio,
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    • "There are several process-based models for simulating soil N 2 O emissions, for example, the COUP model, DNDC (DeNitrification-DeComposition), DAYCENT (Daily Century Model) and CERES-EGC (Colorado State University, 2012; INRA, 2012; KTH, 2012; University of New Hampshire, 2012). CERES-EGC has been used to model N 2 O emissions in LCAs of fava bean and cereals (Goglio et al., 2012). The drawback of these advanced models is that they require detailed data on climate, soil and plant properties, and cultivation practices, and such detailed data are rarely attainable with reasonable effort in LCA studies. "
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    ABSTRACT: The last decade has seen an increase in environmental systems analysis of livestock production, resulting in a significant number of studies with a holistic approach often based on life-cycle assessment (LCA) methodology. The growing public interest in global warming has added to this development; guidelines for carbon footprint (CF) accounting have been developed, including for greenhouse gas (GHG) accounting of animal products.Here we give an overview of methods for estimating GHG emissions, with emphasis on nitrous oxide, methane and carbon from land use change, presently used in LCA/CF studies of animal products. We discuss where methods and data availability for GHGs and nitrogen (N) compounds most urgently need to be improved in order to produce more accurate environmental assessments of livestock production. We conclude that the top priority is to improve models for N fluxes and emissions from soils and to implement soil carbon change models in LCA/CF studies of animal products. We also point at the need for more farm data and studies measuring emissions from soils, manure and livestock in developing countries.
    animal 06/2013; 7(s2). DOI:10.1017/S1751731113000785 · 1.84 Impact Factor