Evidence map›Paper›PMID 41529076›Full record

ArticlePloS one2026

Demographics and recovery potential of exploited marine teleosts.

David M Keith, Heather D Bowlby, Camille Albouy, Arnaud Auber, Danielle M Baribeau, Daniel G Boyce, Julie A Charbonneau, Freya Keyser, Kristin M Kleisner, Martin P Marzloff and 5 more

Abstract read
In one paragraph

Article in PloS one, 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

15 authors.

David M KeithFisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.ORCID https://orcid.org/0000-0003-3564-2030
Heather D BowlbyFisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.
Camille AlbouyEcosystems and Landscape Evolution, Department of Environmental Systems Science, ETH Zürch, Zürich, Switzerland.
Arnaud AuberIfremer, HMMN, Laboratoire Ressources Halieutiques, Boulogne-sur-Mer, France.ORCID https://orcid.org/0000-0002-8415-1652
Danielle M BaribeauDepartment of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.
Daniel G BoyceWild Ocean Research, Cow Bay, Nova Scotia, Canada.
Julie A CharbonneauDepartment of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada.
Freya KeyserFisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.
Kristin M KleisnerEnvironmental Defense Fund, Boston, United States of America.ORCID https://orcid.org/0000-0002-6918-1546
Martin P MarzloffIfremer DYNECO, Plouzané F-29280, France.
Katherine E MillsGulf of Maine Research Institute, Portland, Maine, United States of America.
David MouillotMARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Montpellier, France.
Aurore ReceveurMARBEC, Univ Montpellier, CNRS, Ifremer, IRD, Montpellier, France.
Nancy L ShackellFisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.
Rita P VasconcelosIPMA, Portuguese Institute of the Sea and Atmosphere, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Equilibrium concepts and the expectation of compensatory density dependence remain fundamental to fisheries science, but stock collapses and an increasing appreciation of environmental factors have raised questions about their real-world applicability. To explore the demographic variability of harvested marine fishes, we have calculated metrics commonly used in conservation biology to describe the demographics for 77 assessed stocks from the North Atlantic and Northeast Pacific Oceans using life-tables. We found that median annual population growth rates ([Formula: see text]) were centered around 1, and surprisingly, they were only slightly higher when the effect of fishing was excluded. For most stocks, as abundance declined, [Formula: see text] tended to increase and become more variable as would be expected from compensatory dynamics. The population growth of several stocks was sustained by a limited number of years with exceptionally high rates. However, the ability of a stock to increase from low abundance appeared largely independent of life history characteristics and exhibited stronger geographical differences among stocks of the same species (notably Atlantic cod). Life history characteristics alone were poor predictors of annual population growth or future recovery potential, whereas regional factors appeared to be more influential. Overall, recovery potential remained relatively high, with simulations indicating that 62 of the stocks would be highly likely to double in size within 20 years in the absence of fishing. Low recovery potential was exclusively observed in stocks with a low median [Formula: see text] and low variability in [Formula: see text]. These results suggest that understanding stock-specific (rather than species-specific) demographic parameters is necessary to promote sustainable management or develop rebuilding plans for collapsed stocks.

Indexed as

Conservation of Natural ResourcesFisheriesFishesAnimalsAtlantic OceanPacific OceanPopulation DynamicsPopulation Growth

Identifiers

PMID41529076
PMCPMC12799014

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.