Updating the global weighting factor for biodiversity impact assessment in LCA

Life‑cycle impact assessment (LCIA) is progressively expanding to address biodiversity impacts, but spatial heterogeneity continues to dominate the associated uncertainty. To account for this, the Ecoregion Factor (EF)-a dimensionless weighting coefficient-modulates biodiversity‑impact scores according to the ecological richness of the ecoregion in which a land‑use takes place. Since the initial publication, the underlying spatial datasets have been superseded by more recent releases. Consequently, we recomputed the EF using the latest ecoregional delineation and the most recent global layers for grasslands, forests and wetlands. To facilitate integration with LCIA frameworks that operate at the national level, the updated EF values were aggregated to country‑level averages by calculating an area‑weighted mean of the normalised EF across all ecoregions intersecting each nation's borders. This yields a robust geographic adjustment factor that preserves the spatial nuance of ecoregional biodiversity while making biodiversity impact assessments feasible even when inventory data are available only at the country scale. By providing an up‑to‑date, geographically calibrated weighting coefficient, the revised EF enhances the spatial granularity of biodiversity‑focused LCIA results.

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Publication Details

Journal
Data in Brief
Published
2025-12-03
DOI
https://doi.org/10.1016/j.dib.2025.112355
Primary Topic
Environmental and Social Impact Assessments
Type
article
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article

Updating the global weighting factor for biodiversity impact assessment in LCA

Barbara von Hippel, Jan Paul Lindner, Nico Mumm, Julian Quandt
Data in Brief
Environmental and Social Impact Assessments
article

Updating the global weighting factor for biodiversity impact assessment in LCA

Barbara von Hippel, Jan Paul Lindner, Nico Mumm, Julian Quandt
article en

Abstract

Life‑cycle impact assessment (LCIA) is progressively expanding to address biodiversity impacts, but spatial heterogeneity continues to dominate the associated uncertainty. To account for this, the Ecoregion Factor (EF)-a dimensionless weighting coefficient-modulates biodiversity‑impact scores according to the ecological richness of the ecoregion in which a land‑use takes place. Since the initial publication, the underlying spatial datasets have been superseded by more recent releases. Consequently, we recomputed the EF using the latest ecoregional delineation and the most recent global layers for grasslands, forests and wetlands. To facilitate integration with LCIA frameworks that operate at the national level, the updated EF values were aggregated to country‑level averages by calculating an area‑weighted mean of the normalised EF across all ecoregions intersecting each nation's borders. This yields a robust geographic adjustment factor that preserves the spatial nuance of ecoregional biodiversity while making biodiversity impact assessments feasible even when inventory data are available only at the country scale. By providing an up‑to‑date, geographically calibrated weighting coefficient, the revised EF enhances the spatial granularity of biodiversity‑focused LCIA results.

Data in BriefVol. 64
University of Augsburg (DE)
Openalex Percentile: Top 51%
Environmental and Social Impact Assessments
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Updating the global weighting factor for biodiversity impact assessment in LCA — Barbara von Hippel, Jan Paul Lindner, et al. · Data in Brief (2025) | TGRS Research Map | TGRS