Evidence map›Paper›PMID 37228036›Full record

ArticlePLoS biology2023

Life history optimisation drives latitudinal gradients and responses to global change in marine fishes.

Mariana Álvarez-Noriega, Craig R White, Jan Kozłowski, Troy Day, Dustin J Marshall

Abstract read
In one paragraph

Article in PLoS biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. Temperature and nutrition do not interact to shape the evolution of metabolic rate.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
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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

5 authors.

Mariana Álvarez-NoriegaCentre of Geometric Biology, School of Biological Sciences, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0003-1295-6897
Craig R WhiteCentre of Geometric Biology, School of Biological Sciences, Monash University, Melbourne, Victoria, Australia.
Jan KozłowskiInstitute of Environmental Sciences, Jagiellonian University, Kraków, Poland.
Troy DayDepartment of Mathematics and Statistics, Queen's University, Kingston, Ontario, Canada.
Dustin J MarshallCentre of Geometric Biology, School of Biological Sciences, Monash University, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within many species, and particularly fish, fecundity does not scale with mass linearly; instead, it scales disproportionately. Disproportionate intraspecific size-reproduction relationships contradict most theories of biological growth and present challenges for the management of biological systems. Yet the drivers of reproductive scaling remain obscure and systematic predictors of how and why reproduction scaling varies are lacking. Here, we parameterise life history optimisation model to predict global patterns in the life histories of marine fishes. Our model predict latitudinal trends in life histories: Polar fish should reproduce at a later age and show steeper reproductive scaling than tropical fish. We tested and confirmed these predictions using a new, global dataset of marine fish life histories, demonstrating that the risks of mortality shape maturation and reproductive scaling. Our model also predicts that global warming will profoundly reshape fish life histories, favouring earlier reproduction, smaller body sizes, and lower mass-specific reproductive outputs, with worrying consequences for population persistence.

Indexed as

FishesReproductionAnimalsFertilityGlobal Warming

Identifiers

PMID37228036
PMCPMC10212075

What OpenQuestion holds

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LicenceCC BY
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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.