Evidence map›Paper›PMID 40926149›Full record

ArticleNature food2025

Food impacts on species extinction risks can vary by three orders of magnitude.

Thomas S Ball, Michael Dales, Alison Eyres, Jonathan M H Green, Anil Madhavapeddy, David R Williams, Andrew Balmford

Abstract read
In one paragraph

Article in Nature food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Thomas S BallDepartment of Zoology, University of Cambridge, Cambridge, UK. tsb42@cam.ac.uk.ORCID http://orcid.org/0000-0001-8508-6445
Michael DalesConservation Research Institute, University of Cambridge, Cambridge, UK.
Alison EyresDepartment of Zoology, University of Cambridge, Cambridge, UK.
Jonathan M H GreenStockholm Environment Institute-York, University of York, York, UK.ORCID http://orcid.org/0000-0002-5003-0203
Anil MadhavapeddyConservation Research Institute, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-8954-2428
David R WilliamsSustainability Research Institute, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-0379-1800
Andrew BalmfordDepartment of Zoology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-0144-3589

Funding

RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/V004832/1
6 · The paper itself

Abstract

Agriculturally driven habitat degradation and destruction is the biggest threat to global biodiversity. Yet the impact of different foods and where they are produced on species extinction risks, and the mitigation potential of different interventions, remain poorly quantified. Here we link the LIFE biodiversity metric-a high-resolution global layer describing the marginal impact of land use on extinctions of ~30,000 vertebrate species-with food consumption and production data and provenance modelling. Using an opportunity cost framing, we estimate that the impact of producing 1 kg of different food commodities on species extinction risks varies widely both across and within foods, in many cases by more than an order of magnitude. Despite marked differences in per capita impacts across countries, there are consistent patterns that could be leveraged for mitigating harm to biodiversity. In particular, animal products and commodities grown in the tropics are generally much more impactful than staple crops and vegetables.

Indexed as

BiodiversityConservation of Natural ResourcesExtinction, BiologicalFood SupplyAgricultureAnimalsEcosystemHumansVertebrates

Identifiers

PMID40926149
PMCPMC12454142

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.