Evidence map›Paper›PMID 42337229›Full record

ArticleNature communications2026

Linking species local trends from assemblage monitoring to global extinction risk.

Laura H Antão, Faye Moyes, Maria Dornelas, Shane A Blowes, Brian J McGill, Cher F Y Chow, Ada Fontrodona-Eslava, Anne E Magurran, Nicholas J Gotelli

Abstract read
In one paragraph

Article in Nature communications, 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

9 authors.

Laura H Antão *Research Centre for Ecological Change, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-6612-9366
Faye Moyes *Centre for Biological Diversity, University of St Andrews, Fife, UK. fhm1@st-andrews.ac.uk.ORCID 0000-0001-9687-0593
Maria DornelasCentre for Biological Diversity, University of St Andrews, Fife, UK.ORCID 0000-0003-2077-7055
Shane A BlowesGerman Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany.ORCID 0000-0001-6310-3670
Brian J McGillSchool of Biology and Ecology and Mitchell Center for Sustainability Solutions, University of Maine, Orono, ME, USA.
Cher F Y ChowCentre for Biological Diversity, University of St Andrews, Fife, UK.ORCID 0000-0002-1020-8409
Ada Fontrodona-EslavaCentre for Biological Diversity, University of St Andrews, Fife, UK.
Anne E MagurranCentre for Biological Diversity, University of St Andrews, Fife, UK.ORCID 0000-0002-0036-2795
Nicholas J GotelliDepartment of Biology, University of Vermont, Burlington, VT, USA.ORCID 0000-0002-5409-7456

Funding

European Commission (EC) SEAwise 10002799Leverhulme Trust RPG-2019-402
6 · The paper itself

Abstract

While biodiversity is being reshaped across the globe, extinction risk assessments are lacking for most species, and a major challenge remains in understanding whether global threat status aligns with local population trends. Here, we assess whether population temporal prevalence trends are consistent with a species' global extinction risk, using over 60,000 populations of 2362 species across 978 marine and terrestrial assemblages (sampled for at least 20 years, mostly from temperate regions). We assign each population to one of five categories of temporal prevalence dynamics, and retrieve each species' extinction risk from the International Union for Conservation of Nature (IUCN) Red List. Fewer than 10% of local populations show consistent increasing or decreasing prevalence over time, with most exhibiting random patterns of temporal change, especially marine populations. Overall, higher extinction risk is associated with a higher frequency of decreasing local prevalence, and vice-versa for increasing prevalence, against a backdrop of complex links between extinction risk and local temporal dynamics. Our results suggest that directional changes in species local prevalence could be harbingers of future changes in global threat status, and highlight how leveraging assemblage monitoring data can aid conservation efforts and extinction assessments.

Indexed as

BiodiversityConservation of Natural ResourcesExtinction, BiologicalAnimalsEcosystemPopulation Dynamics

Identifiers

PMID42337229
PMCPMC13291242

What OpenQuestion holds

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Registered trials

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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.