Evidence map›Paper›PMID 41671357›Full record

ArticleScience advances2026

Halting predicted vertebrate declines requires tackling multiple drivers of biodiversity loss.

Pol Capdevila, Duncan O'Brien, Valentina Marconi, Thomas F Johnson, Robin Freeman, Louise McRae, Christopher F Clements

Abstract read
In one paragraph

Article in Science advances, 2026. 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.

Pol CapdevilaSchool of Biological Sciences, University of Bristol, 24 Tyndall Ave., Bristol BS8 1TQ, UK.ORCID 0000-0002-2842-4302
Duncan O'BrienSchool of Biological Sciences, University of Bristol, 24 Tyndall Ave., Bristol BS8 1TQ, UK.ORCID 0000-0002-3420-5210
Valentina MarconiInstitute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK.ORCID 0000-0001-7443-0255
Thomas F JohnsonEcology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, UK.ORCID 0000-0002-6363-1825
Robin FreemanInstitute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK.
Louise McRaeInstitute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK.ORCID 0000-0003-1076-0874
Christopher F ClementsSchool of Biological Sciences, University of Bristol, 24 Tyndall Ave., Bristol BS8 1TQ, UK.ORCID 0000-0001-5677-5401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conservation policies aiming to halt biodiversity loss often focus on globally prevalent threats like habitat loss and exploitation, yet direct and interactive effects of multiple threats remain poorly quantified. Here, we go beyond prior meta-analyses or species-level studies by providing a global, population-level empirical analysis of threat interactions by examining 3129 vertebrate population time series worldwide with documented exposure to single and multiple threats. Populations affected solely by habitat loss or exploitation do not exhibit the steepest declines; instead, disease, invasive species, pollution, and climate change are associated with faster declines. Interactive threats contribute more to population declines than temporal or spatial variation. Counterfactual analyses reveal that mitigating multiple threats is essential to achieving nonnegative vertebrate population trends and halting biodiversity loss.

Indexed as

BiodiversityConservation of Natural ResourcesVertebratesAnimalsClimate ChangeEcosystemIntroduced SpeciesPopulation Dynamics

Identifiers

PMID41671357
PMCPMC12893280

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.