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

机译:寿命牛肉:用于量化草和玉米牛肉农场的碳足迹的常见框架

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Europe’s roadmap to a low-carbon economy aims to cut greenhouse gas (GHG) 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 (LCA) models were selected to quantify emissions for the different production contexts and harmonized. Carbon Audit was chosen for Ireland, Bovid-CO2 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-CO2. 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-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 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:欧洲对低碳经济的路线图旨在将温室气体(GHG)排放量降至1990年低于1990年的水平。牛肉生产是温室气体排放的重要来源,预计随着世界人口的增长,预计将增加。寿命牛肉是一项自愿欧洲倡议,旨在将每单位牛肉(碳足迹)的温室气体排放量减少15%,在四个大型牛肉生产国的2172个农场的10年期间。农场牛肉碳足迹的变化通常通过仿真建模估计,但是当前模型的方法应用不同。因此,我们的初步目标是开发一个常见的建模框架来估计牛肉农场碳足迹。该框架是为位于爱尔兰,西班牙,意大利和法国的不同套西欧农场开发的。整个农场和生命周期评估(LCA)模型被选中以量化不同生产背景的排放和协调。为西班牙和意大利的西班牙和CAP'2ER选择碳审计,为爱尔兰,Bovid-Co2选择。所有型号都经过20个案例研究农场测试,即每国家的5个,以及与农场生活体重增加相关的量化温室气体排放。比较表明,牛肉系统的排名总碳足迹在三种模型中一致。断奶或储存系统的爱好者通常具有最高的碳足迹,然后是Sucker到牛肉系统和肥胖的牛肉系统。当应用于同一农场时,碳审计的足迹估计略低于CAP'2er,但略高于Bovid-Co2。这些差异发生,因为模型适应了特定的区域的生产环境,这意味着关键来源的排放因子;也就是说,当在其目标区域外使用时,来自肠道发酵和来自浓缩浓度的温室气体排放的甲烷较低。因此,对于共同的建模框架,选择特定于区域的LCA模型来估计牛肉碳足迹而不是单个通用模型。此外,碳审核和Bovid-CO2模型被更新为包括土壤和其他环境指标的碳除去,例如酸化。这允许所有模型评估效应碳缓解策略对其他潜在的污染物。鉴定了几种选择以减少牛肉农场碳足迹,提高遗传优点。这些选项被评估为牛肉系统,每个国家都会产生缓解计划。估计寿命牛肉碳计划的累积减缓效果超过了减少目标(?15%)。

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