Life cycle inventories of global metal and mineral supply chains: a comprehensive data review, analysis and processing

Titelangaben

Lai, Frédéric ; Muller, Stépahnie ; Philippe, Audrey ; Istrate, Robert ; Xicotencatl, Brenda Miranda ; Mansouri Aski, Afsoon ; Mas Fons, Aina ; Segura-Salazar, Juliana ; Santillán-Saldivar, Jair ; Cimprich, Alexander ; Northey, Stephen ; da Silva Lima, Lígia ; Boone, Lieselot ; Yokoi, Ryosuke ; Islam, Kamrul ; Paschalidou, Ioanna ; Cerdas, Felipe ; Balboa-Espinoza, Victor ; Koyamparambath, Anish ; Hennioui, Diae ; Collignon, Victoire ; Reys, Aurélien ; Sakatadi, Gyslain Nagadi ; Dewulf, Jo ; Steubing, Bernhard ; Helbig, Christoph ; Lefebvre, Gaétan ; Blengini, Gian Andrea ; Superti, Valeria ; Motoshita, Masaharu ; Sonnemann, Guido ; Awuah-Offei, Kwame ; Young, Steven B. ; Murakami, Shinsuke ; Beylot, Antoine:
Life cycle inventories of global metal and mineral supply chains: a comprehensive data review, analysis and processing.
In: Resources, Conservation and Recycling. Bd. 226 (Februar 2026) . - 108709.
ISSN 2214-9937
DOI der Verlagsversion: https://doi.org/10.1016/j.resconrec.2025.108709

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Abstract

Reliable life cycle inventory (LCI) data are key to consistent life cycle assessment (LCA) results. This study provides a comprehensive and up-to-date overview of existing public LCI data related to metals and minerals production. It aims to deliver LCI models representing current supply chains and markets. For that purpose, this study conducts an in-depth analysis (including data quality) of 285 LCI datasets drawn from 130 different LCA studies related to metals and minerals. Following a selection process and a harmonised data compilation, processing and modelling approach, 220 individual LCI datasets were developed, covering 53 metal and mineral elements and distinguishing 163 production routes differentiated from geographical, geological, technological or material perspectives. Finally, these LCI datasets were gathered into market datasets, depicting global supply mixes. Elements such as germanium or manganese showed a limited market coverage, contrary to others such as lithium or aluminium. Available in open access, the high-resolution LCI datasets here developed offer key perspectives for a better modelling of metal and mineral supply chains in LCA, in turn contributing to higher quality LCAs of downstream product systems utilising these materials. At the same time, this study reveals several data gaps, paving the way for further data improvement.