Evidence map›Paper›PMID 42320883›Full record

ArticleEnvironmental science & technology2026

A Unified Life Cycle Impact Assessment Framework for Global Terrestrial Biodiversity Decline.

Sharon D Janssen, Koen J J Kuipers, Hadassa Moreira, Aafke M Schipper, Rosalie van Zelm, Mark A J Huijbregts

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Sharon D JanssenDepartment of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Heyendaalseweg 135, Nijmegen 6525AJ, The Netherlands.
Koen J J KuipersDepartment of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Heyendaalseweg 135, Nijmegen 6525AJ, The Netherlands.ORCID 0000-0003-0854-1832
Hadassa MoreiraDepartment of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Heyendaalseweg 135, Nijmegen 6525AJ, The Netherlands.
Aafke M SchipperDepartment of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Heyendaalseweg 135, Nijmegen 6525AJ, The Netherlands.
Rosalie van ZelmDepartment of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Heyendaalseweg 135, Nijmegen 6525AJ, The Netherlands.ORCID 0000-0002-2365-9436
Mark A J HuijbregtsDepartment of Environmental Science, Radboud Institute for Biological and Environmental Sciences, Radboud University, Heyendaalseweg 135, Nijmegen 6525AJ, The Netherlands.ORCID 0000-0002-7037-680X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Life cycle impact assessment (LCIA) translates emissions and resource use into a set of environmental impact indicators, forming a key component of life cycle assessments. Current LCIA methods quantify biodiversity loss per pressure-impact pathway separately and at various spatial scales. We developed a new, spatially explicit and scale-consistent LCIA framework and applied it to derive characterization factors (CFs) for the impacts of land use, nitrogen emissions, and greenhouse gas (GHG) emissions on global terrestrial plant diversity. The framework combines the local potentially disappeared fraction of species (LPDF) due to the selected pressures with a multipressure species-area relationship (mp-SAR) model and with information on species endemism to estimate the global PDF (GPDF). For GHG emissions, we provide CFs for 250 GHGs and 20- and 100 year time horizons. Ecoregion-specific CFs of 6 land use types varied by 7 orders of magnitude, while emitting-region-specific CFs of ammonia and nitrogen oxides varied by 2 orders of magnitude. For land use, CF variability was driven almost entirely (>99%) by ecoregion. For nitrogen emissions, emitting region and compound each explained about one-third of the variability. Overall, our LCIA framework allows for consistent scaling of local species loss to global extinction while considering multiple impacts categories.

Indexed as

BiodiversityGreenhouse GasesNitrogenGreenhouse GasesNitrogencharacterization factorsclimate changeeffect factorsendemismglobal warmingland usenitrogen emissionspecies-area relationship

Identifiers

PMID42320883
PMCPMC13348166

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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.