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LIFE BEEF CARBON: a common framework for quantifying grass and corn based beef farms’ carbon footprints

机译:生活牛肉碳:量化草和玉米为主的牛肉农场碳足迹的通用框架

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摘要

Europe’s roadmap to a low-carbon economy aims to cut greenhouse gas ( ) emissions 80% below 1990 levels by 2050. Beef production is an important source of GHG emissions and is expected to increase as 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 period on 2172 farms in four large beef-producing countries. Changes in farms beef carbon footprint are normally estimated via simulation modelling, but the methods current models apply differ. Thus, our initial goal was to develop a common modelling framework to estimate beef farms carbon footprint. The framework was developed for a diverse set of Western Europe farms located in Ireland, Spain, Italy and France. Whole farm and life cycle assessment ( ) models were selected to quantify emissions for the different production contexts and harmonized. Carbon Audit was chosen for Ireland, Bovid-CO for Spain and CAP’2ER for France and Italy. All models were tested using 20 case study farms, that is, 5 per country and quantified GHG emissions associated with on-farm live weight gain. The comparison showed the ranking of beef systems gross carbon footprint was consistent across 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 applied to the same farm, Carbon Audit’s footprint estimates were slightly lower than CAP’2ER, but marginally higher than Bovid-CO . These differences occurred because the models were adapted to a specific region’s production circumstances, which meant their emission factors for key sources; that is, methane from enteric fermentation and GHG emissions from concentrates were less accurate when used outside their target region. Thus, for the common modelling framework, region-specific LCA models were chosen to estimate beef carbon footprints instead of a single generic model. Additionally, the Carbon Audit and Bovid-CO 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 have on other potential pollutants. Several options were identified to reduce beef farms carbon footprint, for example, improving genetic merit. These options were assessed for beef 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%).
机译:欧洲的低碳经济路线图旨在到2050年将温室气体排放量比1990年的水平减少80%。牛肉生产是温室气体排放的重要来源,并且预计随着世界人口的增长而增加。生活牛肉碳是一项欧洲自愿计划,旨在在四个大型牛肉生产国的2172个农场中,在10年内将每单位牛肉的温室气体排放量(碳足迹)降低15%。通常通过模拟建模来估算农场牛肉碳足迹的变化,但是当前模型采用的方法不同。因此,我们的最初目标是开发一个通用的建模框架来估算牛肉农场的碳足迹。该框架是为位于爱尔兰,西班牙,意大利和法国的各种西欧农场开发的。选择了整个农场和整个生命周期评估()模型,以量化不同生产环境下的排放并进行协调。爱尔兰选择了Carbon Audit,西班牙选择了Bovid-CO,法国和意大利选择了CAP’2ER。所有模型均使用20个案例研究农场进行了测试,即每个国家5个农场,并量化了与农场活体重增加相关的温室气体排放。比较结果显示,在这三个模型中,牛肉系统总碳足迹的排名是一致的。抽乳到断奶或储存系统通常具有最高的碳足迹,其次是从抽奶到牛肉系统和增肥牛肉系统。当应用于同一农场时,Carbon Audit的足迹估算值略低于CAP'2ER,但略高于Bovid-CO。之所以出现这些差异,是因为这些模型适应了特定地区的生产环境,这意味着它们的关键排放因子;也就是说,在目标区域以外使用时,肠内发酵产生的甲烷和浓缩液产生的温室气体排放不太准确。因此,对于通用建模框架,选择了特定区域的LCA模型来估计牛肉的碳足迹,而不是单个通用模型。此外,对Carbon Audit和Bovid-CO模型进行了更新,以包括通过土壤去除的碳和CAP’2ER中包含的其他环境指标,例如酸化。这使所有模型都能评估碳减排策略对其他潜在污染物的影响。确定了减少牛肉农场碳足迹的几种选择,例如,提高遗传价值。对牛肉系统评估了这些选择,并且每个国家都制定了缓解计划。生活牛肉碳计划的累积缓解效果估计超过了项目削减目标(-15%)。

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