Department of Civil and Environmental Engineering, University of Pittsburgh, 742 Benedum Hall, 3700 O'Hara Street, Pittsburgh, Pennsylvania 15261, United States.
Department of Industrial Engineering, University of Pittsburgh, 1025 Benedum Hall, 3700 O'Hara Street, Pittsburgh, Pennsylvania 15261, United States.
Environ Sci Technol. 2024 Aug 13;58(32):14214-14224. doi: 10.1021/acs.est.4c01651. Epub 2024 Aug 2.
While highly connected food chains provide numerous benefits, they lack traceability and transparency. As such, understanding the spatial heterogeneity in their environmental burdens is critical for targeted interventions. This is especially important for nutrient-related impacts such as nitrogen since the release of reactive nitrogen has been linked to loss of biodiversity and decrease in water quality in different parts of the world. Animal feed production is heavily dependent on synthetic fertilizers, and the consumption of beef products, in particular, is associated with high nitrogen footprints. Although there is a rich body of work on nutrient footprints of beef production, there is a gap in understanding the spatial distribution of the nutrient releases throughout the beef supply chain in the U.S. We present an optimization-based framework to trace supply chain networks of beef products at the county level. Using publicly available data, we construct a weighted network of nutrient flows based on mass balance, including synthetic fertilizers, manure production, and crop uptake and residues. The results show that beef consumption in a county can be associated with nitrogen losses in hundreds of counties. One year worth of beef consumption in the United States released approximately 1.33 teragrams (Tg) of N to the environment, and most of it as diffuse pollution during the feed production phase. Analysis also revealed the huge disparity between consumption-based and production-based impacts of beef and the need for considering consumption-based accounting in discourse around the environmental sustainability of food systems.
虽然高度连接的食物链提供了许多好处,但它们缺乏可追溯性和透明度。因此,了解它们在环境负担方面的空间异质性对于有针对性的干预至关重要。这对于与营养有关的影响(如氮)尤其重要,因为活性氮的释放与世界不同地区生物多样性的丧失和水质下降有关。动物饲料生产严重依赖合成肥料,特别是牛肉产品的消费与高氮足迹有关。尽管关于牛肉生产的营养足迹有大量的研究,但对于理解美国牛肉供应链中营养物质释放的空间分布仍存在差距。我们提出了一个基于优化的框架,以追踪牛肉产品在县一级的供应链网络。我们利用公开可用的数据,根据质量平衡构建了一个基于营养流动的加权网络,包括合成肥料、粪便生产、作物吸收和残留物。结果表明,一个县的牛肉消费可以与数百个县的氮损失相关联。美国一年的牛肉消费量向环境中释放了约 1.33 太克(Tg)的氮,其中大部分是在饲料生产阶段作为扩散污染释放的。分析还揭示了基于消费的牛肉影响和基于生产的牛肉影响之间的巨大差距,需要在关于食品系统环境可持续性的讨论中考虑基于消费的核算。