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AGRIBALYSE®: strengths and challenges of a national LCI database initiative

Colomb Vincent, Van Der Werf Hayo M.G., Avadi Tapia Angel Daniel, Gaillard Gérard, Gac Armelle, Mevel Gildas, To Valérie, Mila i Canals Llorenç, Koch Peter, Mousset Jérome. 2018. AGRIBALYSE®: strengths and challenges of a national LCI database initiative. In : Book of abstracts of the 11th International Conference on Life Cycle Assessment of Food 2018 (LCA Food) "Global food challenges towards sustainable consumption and production". Kasetsart University, KMUTT, NSTDA. Bangkok : Kasetsart Univercity, Résumé, p. 85. International Conference on Life Cycle Assessment of Food 2018 (LCA Food). 11, Bangkok, Thaïlande, 16 October 2018/20 October 2018.

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Additional Information : A l'occasion de ce congrés, s'est également déroulé le 6th LCA AgriFood Asia et 7th International Conference on Green and Sustainable Innovation (ICGSI), 16-20 October 2018, Bangkok, Thailand

Abstract : Soil organic carbon (SOC) plays a key role in soil functioning, i.e. soil quality. Land use affects SOC and soil quality. However, despite various methodological developments, there is still no scientific consensus on the best method to assess the holistic impact of land use and land use change within LCA. The SOCLE project aimed to review how SOC is accounted for in LCA and to test the feasibility and sensitivity of best methodological options. In total, five crop products (annual/perennial, temperate/tropical) and two livestock products were investigated through 32 scenarios of land use changes (LUC) and agricultural land management changes (LMC). Three methodologies were applied, IPCC Tier 1-2 (2006), Müller-Wenk & Brandaõ (2010) and Levasseur et al. (2012). The accounting of LUC and LMC influences greatly the results on the climate change impact category. Based on the project results, we recommend accounting systematically for the impact of LULUC on climate change by applying, a minima, the comprehensive IPCC Tier 1 approach (2006). When available, site-specific data should be used (e.g. Tier 2) for SOC stocks but also C:N ratio and in order to model the digressive impact over 90% of the time period needed to reach equilibrium.

Auteurs et affiliations

  • Colomb Vincent, ADEME (FRA)
  • Van Der Werf Hayo M.G., INRA (FRA)
  • Avadi Tapia Angel Daniel, CIRAD-PERSYST-UPR Recyclage et risque (FRA) ORCID: 0000-0002-8114-916X
  • Gaillard Gérard, Agroscope Reckenholz-Tänikon Research Station (CHE)
  • Gac Armelle, Institut de l'élevage (FRA)
  • Mevel Gildas, InVivo (FRA)
  • To Valérie, MTES (FRA)
  • Mila i Canals Llorenç
  • Koch Peter
  • Mousset Jérome, ADEME (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/589853/)

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