title: A step toward regionalized scale-consistent agricultural life cycle assessment inventories.
abstract: Life cycle inventory (LCI) regionalization (i.e., the determination of input and output flows from production processes at a subcountry scale) is a priority in life cycle assessment (LCA) studies, particularly in the agri-food sector. Many regionalized LCAs fail to ensure that microlevel inventories are consistent with country-level aggregated data-or "scale consistent." They also fail to construct LCIs using international reference guidelines and trustworthy standardized data sources. This failure generates inaccuracies and biases in inventories and can compromise comparability among international LCA studies. Our study introduces scale consistency as a principle for regionalized agri-food LCIs. We present a generic procedure that defines how scale-dependent LCI flows should be regionalized, depending on data availability. We then present a list of inventory flows that require regionalization and their suggested calculation procedures (methods and models) from 2 methodological guides developed by projects Agribalyse and World Food LCA Database. As proof of concept, we apply the procedure to Portugal and assess whether the methods and models proposed for each type of inventory flow in both guides can potentially be applied consistently with the data available. For 17 inventory flows, we apply calculated scale-consistent inventory flows for Portuguese agriculture, covering 260 products that can be used in future LCA studies. Comparing results with international databases, we show that this procedure can improve country-level estimates significantly. Our study is the first step in introducing scale consistency as a guiding principle for regionalized LCIs for agri-food LCA studies. Integr Environ Assess Manag 2017;13:939-951. © 2017 SETAC.
authors.affiliation: Marine, Environment and Technology Centre (MARETEC), Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
authors.forename: Tiago G
authors.initials: TG
authors.lastname: Morais
authors.affiliation: Marine, Environment and Technology Centre (MARETEC), Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
authors.forename: Ricardo Fm
authors.initials: RF
authors.lastname: Teixeira
authors.affiliation: Marine, Environment and Technology Centre (MARETEC), Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
authors.forename: Tiago
authors.initials: T
authors.lastname: Domingos
mesh_terms: D000383:Agriculture / Q000379:methods*; D004784:Environmental Monitoring; D008962:Models, Theoretical
keywords: Agri-food sector; Data management; Portugal; Product comparison; Spatial differentiation