Evidence map›Paper›PMID 41459386›Full record

ArticleData in brief2026

Updating the global weighting factor for biodiversity impact assessment in LCA.

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

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Julian QuandtInstitute for Materials Resource Management, Augsburg University, Am Technologiezentrum 8, 86159 Augsburg, Germany.
Jan Paul LindnerInstitute for Materials Resource Management, Augsburg University, Am Technologiezentrum 8, 86159 Augsburg, Germany.
Nico MummInstitute for Materials Resource Management, Augsburg University, Am Technologiezentrum 8, 86159 Augsburg, Germany.
Barbara von HippelInstitute for Materials Resource Management, Augsburg University, Am Technologiezentrum 8, 86159 Augsburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

EcoregionsEnvironmental sustainability assessmentGlobal weightingLCA softwareLife cycle assessmentLife cycle impact assessment

Identifiers

PMID41459386
PMCPMC12741387

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.