Methods matter: Improved practices for environmental evaluation of dietary patterns
2022 (engelsk)Inngår i: Global Environmental Change, ISSN 0959-3780, E-ISSN 1872-9495, Vol. 73, artikkel-id 102482Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]
Making food systems more sustainable is one of humanity's largest challenges. Over two decades of life cycle assessment research on the environmental performance of food systems has helped to inform efforts to address this challenge. In recent years, there has been much interest in aggregating the results of these studies at scales of national production, dietary patterns, and future food scenarios. The process of comparing impacts of diverse products based on extant literature presents numerous challenges which have been inadequately addressed. Drawing upon examples of greenhouse gas emissions and seafood systems, we suggest best practices to support more complete, consistent, and comparable aggregation practices. Ultimately this would lead to more robust industry and consumer decisions and public policy. We suggest to: 1) define product groups reflecting impact drivers and in accordance with study goals, 2) select studies in a transparent way whose methods are consistent, and 3) assess results in the context of actual production or consumption patterns. Applying these practices would strengthen food life cycle assessment aggregation studies as a tool guiding towards sustainable food systems. © 2022 The Authors
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Elsevier Ltd , 2022. Vol. 73, artikkel-id 102482
Emneord [en]
Aquaculture, Fisheries, Food, Greenhouse gas emissions, LCA, Seafood, dietary intake, environmental assessment, environmental impact assessment, greenhouse gas, life cycle analysis
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-58772DOI: 10.1016/j.gloenvcha.2022.102482Scopus ID: 2-s2.0-85124496638OAI: oai:DiVA.org:ri-58772DiVA, id: diva2:1642098
Merknad
Funding details: Svenska Forskningsrådet Formas, 2017-00842; Funding text 1: The work was funded by the Swedish Research Council Formas (Grant 2017-00842).
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