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Benchmarking the environmental performance of specialized milk production systems: selection of a set of indicators

机译:衡量专业牛奶生产系统的环境绩效基准:选择一组指标

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Dairy production across the world contributes to environmental impacts such as eutrophication, acidification, loss of biodiversity, and use of resources, such as.land, fossil energy and water. Benchmarking the environmental performance of farms can help to reduce these environmental impacts and improve resource use efficiency. Indicators to quantify and benchmark environmental performances are generally derived from a nutrient balance (NB) or a life cycle assessment (LCA). An NB is relatively easy to quantify, whereas an LCA provides more detailed insight into the type of losses and associated environmental impacts. In this study, we explored correlations between NB and LCA indicators, in order to identify an effective set of indicators that can be used as a proxy for benchmarking the environmental performance of dairy farms. We selected 55 specialised dairy farms from western European countries and determined their environmental performance based on eight commonly used NB and LCA indicators from cradle-to-farm gate. Indicators included N surplus, P surplus, land use, fossil energy use, global warming potential (GWP), acidification potential (AP), freshwater eutrophication potential (FEP) and marine eutrophication potential (MEP) for 2010. All indicators are expressed per kg of fat-and-protein-corrected milk. Pearson and Spearman Rho's correlation analyses were performed to determine the correlations between the indicators. Subsequently, multiple regression and canonical correlation analyses were performed to select the set of indicators to be used as a proxy. Results show that the set of selected indicator, including N surplus, P surplus, energy use and land use, is strongly correlated with the eliminated set of indicators, including FEP (r = 0.95), MEP (r = 0.91), GWP (r = 0.83) and AP (r = 0.79). The canonical correlation between the two sets is high as well (r = 0.97). Therefore, N surplus, P surplus, energy use and land use can be used as a proxy to benchmark the environmental performance of dairy farms, also representing GWP, AP, FEP and MEP. The set of selected indicators can be monitored and collected in a time and cost-effective way, and can be interpreted easily by decision makers. Other important environmental impacts, such as biodiversity and water use, however, should not be overlooked. (C) 2016 Elsevier Ltd. All rights reserved.
机译:全世界的乳制品生产都对环境产生了影响,例如富营养化,酸化,生物多样性丧失以及土地,化石能源和水等资源利用。对农场的环境绩效进行基准评估可以帮助减少这些环境影响并提高资源利用效率。量化和基准化环境绩效的指标通常来自营养平衡(NB)或生命周期评估(LCA)。 NB相对容易量化,而LCA可以更详细地了解损失的类型和相关的环境影响。在这项研究中,我们探索了NB和LCA指标之间的相关性,以便确定一组有效的指标,可以用作基准来评估奶牛场的环境绩效。我们从西欧国家选择了55个专业奶牛场,并根据从摇篮到农场的八个常用NB和LCA指标确定了它们的环境绩效。指标包括2010年的氮过剩,磷过剩,土地利用,化石能源利用,全球变暖潜能(GWP),酸化潜能(AP),淡水富营养化潜能(FEP)和海洋富营养化潜能(MEP)。所有指标均以千克为单位经脂肪和蛋白质校正的牛奶。进行了Pearson和Spearman Rho的相关分析,以确定指标之间的相关性。随后,进行了多元回归和规范相关分析,以选择指标集作为代理。结果表明,选定的指标集(包括N剩余量,P剩余量,能源使用和土地使用)与消除的指标集紧密相关,包括FEP(r = 0.95),MEP(r = 0.91),GWP(r = 0.83)和AP(r = 0.79)。两组之间的规范相关性也很高(r = 0.97)。因此,N盈余,P盈余,能源利用和土地利用可以用作基准,同时也代表GWP,AP,FEP和MEP。可以以节省时间和成本的方式来监视和收集所选指标集,并且决策者可以轻松地对其进行解释。但是,不应忽视其他重要的环境影响,例如生物多样性和用水。 (C)2016 Elsevier Ltd.保留所有权利。

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