Tina Drew An Animal Cell In Her Science Notebook. Whatã¢â‚¬â„¢s Wrong With The Cell?
Whatã¢â‚¬â„¢s Your Beef? Grass-fed Modeling Report Carbon Footprint
. 2020 Apr;fourteen(4):834-845.
doi: 10.1017/S1751731119002519. Epub 2022 Oct 31.
LIFE Beef CARBON: a common framework for quantifying grass and corn based beef farms' carbon footprints
Affiliations
- PMID: 31666147
- PMCID: PMC7283046
- DOI: ten.1017/S1751731119002519
Gratis PMC commodity
LIFE BEEF CARBON: a common framework for quantifying grass and corn based beef farms' carbon footprints
Brute. 2020 Apr .
Costless PMC article
Abstract
Europe'south roadmap to a low-carbon economic system aims to cut greenhouse gas (GHG) emissions 80% below 1990 levels by 2050. Beef production is an of import source of GHG emissions and is expected to increment equally the world population grows. LIFE BEEF CARBON is a voluntary European initiative that aims to reduce GHG emissions per unit of beef (carbon footprint) by 15% over a 10-year flow on 2172 farms in four large beef-producing countries. Changes in farms beef carbon footprint are usually estimated via simulation modelling, just the methods current models utilize differ. Thus, our initial goal was to develop a common modelling framework to estimate beef farms carbon footprint. The framework was adult for a diverse prepare of Western Europe farms located in Ireland, Spain, Italy and France. Whole subcontract and life cycle assessment (LCA) models were selected to quantify emissions for the different production contexts and harmonized. Carbon Inspect was chosen for Ireland, Bovid-CO2 for Espana and CAP'2ER for French republic and Italia. All models were tested using xx case study farms, that is, 5 per country and quantified GHG emissions associated with on-farm live weight proceeds. The comparing showed the ranking of beef systems gross carbon footprint was consistent beyond the three models. Suckler to weaning or store systems generally had the highest carbon footprint followed by suckler to beef systems and fattening beef systems. When practical to the aforementioned farm, Carbon Audit'due south footprint estimates were slightly lower than CAP'2ER, but marginally higher than Bovid-CO2. These differences occurred because the models were adjusted to a specific region's product circumstances, which meant their emission factors for cardinal sources; that is, methane from enteric fermentation and GHG emissions from concentrates were less accurate when used outside their target region. Thus, for the mutual modelling framework, region-specific LCA models were chosen to estimate beef carbon footprints instead of a single generic model. Additionally, the Carbon Inspect and Bovid-CO2 models were updated to include carbon removal by soil and other environmental metrics included in CAP'2ER, for example, acidification. This allows all models to assess the effect carbon mitigation strategies accept on other potential pollutants. Several options were identified to reduce beef farms carbon footprint, for case, improving genetic merit. These options were assessed for beefiness systems, and a mitigation plan was created by each nation. The cumulative mitigation effect of the LIFE BEEF CARBON plan was estimated to exceed the projects reduction target (-15%).
Keywords: cattle; greenhouse gas; life cycle cess; modelling; sustainability.
Conflict of involvement argument
The authors declare that they have no conflicts of involvement.
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