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A Commodity Supply Mix for More Regionalized Life Cycle Assessments
Michael J Lathuillière1, Laure Patouillard2, Manuele Margni2,3
1Stockholm Environment Institute, Linnégatan 87D, Box 24218, 104 51 Stockholm, Sweden.
The commodity supply mix (CSM) enhances regional life cycle assessments (LCAs) by detailing product sourcing. This method improves impact allocation for commodities like Brazilian soybeans, crucial for biodiversity and water scarcity footprints.
Area of Science:
- Environmental Science
- Life Cycle Assessment
- Supply Chain Management
Background:
- Regionalizing life cycle assessments (LCAs) requires detailed supply chain data, often unavailable.
- Existing methods lack granular information linking production and consumption centers.
Purpose of the Study:
- Introduce the commodity supply mix (CSM) for enhanced LCA regionalization.
- Improve the allocation of environmental impacts to specific markets.
- Quantify biodiversity and water scarcity footprints for Brazilian soybeans.
Main Methods:
- Defined CSM as a trade-volume-weighted average of production geographies for exported commodities.
- Applied CSM to the Trase-mapped Brazilian soybean supply chain.
- Quantified biodiversity and water scarcity impacts for different export markets.
Main Results:
- The EU exhibited the lowest biodiversity damage but the highest water scarcity footprint for soybeans.
- Sourcing patterns varied across 12 ecoregions and 18 river basins for different markets.
- CSM-derived impacts differed significantly from average production impact scores.
Conclusions:
- CSM enhances the regional relevance of LCAs, especially for spatially variable impacts like biodiversity and water scarcity.
- The method can be applied at various scales using existing supply chain data.
- CSM is a valuable tool for more accurate environmental impact assessment in global supply chains.
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