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PNAS Plus: Subnational mobility and consumption-based environmental accounting of US corn in animal protein and ethanol supply chains

机译:PNAS Plus:在动物蛋白和乙醇供应链中对美国玉米的地方流动性和基于消费的环境核算

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摘要

Corn production, and its associated inputs, is a relatively large source of greenhouse gas emissions and uses significant amounts of water and land, thus contributing to climate change, fossil fuel depletion, local air pollutants, and local water scarcity. As large consumers of this corn, corporations in the ethanol and animal protein industries are increasingly assessing and reporting sustainability impacts across their supply chains to identify, prioritize, and communicate sustainability risks and opportunities material to their operations. In doing so, many have discovered that the direct impacts of their owned operations are dwarfed by those upstream in the supply chain, requiring transparency and knowledge about environmental impacts along the supply chains. Life cycle assessments (LCAs) have been used to identify hotspots of environmental impacts at national levels, yet these provide little subnational information necessary for guiding firms’ specific supply networks. In this paper, our Food System Supply-Chain Sustainability (FoodS3) model connects spatial, firm-specific demand of corn purchasers with upstream corn production in the United States through a cost minimization transport model. This provides a means to link county-level corn production in the United States to firm-specific demand locations associated with downstream processing facilities. Our model substantially improves current LCA assessment efforts that are confined to broad national or state level impacts. In drilling down to subnational levels of environmental impacts that occur over heterogeneous areas and aggregating these landscape impacts by specific supply networks, targeted opportunities for improvements to the sustainability performance of supply chains are identified.
机译:玉米生产及其相关投入是温室气体排放的一个相对较大的来源,并消耗大量的水和土地,因此导致了气候变化,化石燃料枯竭,当地空气污染物和当地水资源短缺。作为这种玉米的大消费国,乙醇和动物蛋白行业的公司越来越多地评估和报告其整个供应链中的可持续发展影响,以识别,确定优先次序并向他们的经营活动传达可持续发展的风险和机遇。通过这样做,许多人发现他们自己的运营的直接影响被供应链上游的那些相形见,,要求透明性和对供应链沿线环境影响的了解。生命周期评估(LCA)已被用于在国家一级确定环境影响的热点,但这些评估几乎没有提供指导公司特定供应网络所需的地方以下信息。在本文中,我们的食品系统供应链可持续性(FoodS 3 )模型通过成本最小化运输模型,将针对玉米购买者的空间,企业特定需求与美国上游玉米生产联系起来。这提供了一种将美国县级玉米生产与与下游加工设施相关的公司特定需求地点联系起来的方法。我们的模型大大改善了当前的LCA评估工作,这些工作仅限于广泛的国家或州层面的影响。在深入研究异邦地区发生的次国家级环境影响并通过特定的供应网络汇总这些景观影响时,确定了改善供应链可持续性绩效的目标机会。

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