Improving Estimates of Nitrogen Emissions for Life Cycle Assessment of Cropping Systems at the Scale of an Agricultural Territory
| Autor: | Valérie Viaud, Virginie Parnaudeau, Françoise Vertès, Michael S. Corson, Christian Walter, Hayo M.G. van der Werf, Joël Aubin, Laure Nitschelm |
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| Přispěvatelé: | Sol Agro et hydrosystème Spatialisation (SAS), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), INRA, Conseil Regional de Bretagne (Brittany region), Agrocampus Ouest, AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA) |
| Rok vydání: | 2017 |
| Předmět: |
Crops
Agricultural Watershed Nitrogen water [SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study 010501 environmental sciences Atmospheric sciences 01 natural sciences Physics::Geophysics Soil Environmental Chemistry catchment-scale [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology Cropping system Life-cycle assessment 0105 earth and related environmental sciences business.industry areas hydrological model Agriculture 04 agricultural and veterinary sciences General Chemistry simulation parameterization Field (geography) 13. Climate action impact 040103 agronomy & agriculture Spatial ecology 0401 agriculture forestry and fisheries Environmental science France Scale (map) business Cropping farm |
| Zdroj: | Environmental Science & Technology Environmental Science & Technology, American Chemical Society, 2018, 52 (3), pp.1330-1338. ⟨10.1021/acs.est.6b03865⟩ Environmental Science and Technology Environmental Science and Technology, American Chemical Society, 2018, 52 (3), pp.1330-1338. ⟨10.1021/acs.est.6b03865⟩ |
| ISSN: | 1520-5851 0013-936X |
| Popis: | International audience; In life cycle assessment (LCA), simple models are currently used to estimate cropping system nitrogen (N) emissions on farms. At large spatial scales (e.g., countries), these models are valid. At a smaller spatial scale (e.g., territories), these models may be less accurate, since they completely or partially ignore local conditions such as management practices, soil or climate. The purpose of this study was to consider the variability of those factors when estimating N emissions in LCA at the watershed scale. To this end, Syst’N, decision-support software based on a simulation model of crop and soil N dynamics at field and crop-rotation scales, was applied to predict N emissions from cropping systems in a coastal watershed (Lieue de Grève, France). Syst’N predictions were compared to N emissions estimated by AGRIBALYSE, a static site-dependent method at field and single-crop scales. Syst’N was more sensitive to site-specific soil properties than AGRIBALYSE. Estimates of N emissions that include spatial variability in soil and climate therefore become possible in LCA when a simulation model such as Syst’N is used in the inventory phase. |
| Databáze: | OpenAIRE |
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