Evidence map›Paper›PMID 23789026›Full record

ArticleEvolutionary applications2013

How fast is fisheries-induced evolution? Quantitative analysis of modelling and empirical studies.

Asta Audzijonyte, Anna Kuparinen, Elizabeth A Fulton

Abstract read
In one paragraph

Article in Evolutionary applications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. The battle between harvest and natural selection creates small and shy fish.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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  11. Genetic architecture of age at maturity can generate divergent and disruptive harvest-induced evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Article
  12. Harvest-induced evolution: insights from aquatic and terrestrial systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
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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

3 authors.

Asta AudzijonyteMarine and Atmospheric Research, CSIRO Hobart, TAS, Australia.
Anna Kuparinen
Elizabeth A Fulton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of theoretical models, experimental studies and time-series studies of wild fish have explored the presence and magnitude of fisheries-induced evolution (FIE). While most studies agree that FIE is likely to be happening in many fished stocks, there are disagreements about its rates and implications for stock viability. To address these disagreements in a quantitative manner, we conducted a meta-analysis of FIE rates reported in theoretical and empirical studies. We discovered that rates of phenotypic change observed in wild fish are about four times higher than the evolutionary rates reported in modelling studies, but correlation between the rate of change and instantaneous fishing mortality (F) was very similar in the two types of studies. Mixed-model analyses showed that in the modelling studies traits associated with reproductive investment and growth evolved slower than rates related to maturation. In empirical observations age-at-maturation was changing faster than other life-history traits. We also found that, despite different assumption and modelling approaches, rates of evolution for a given F value reported in 10 of 13 modelling studies were not significantly different.

Indexed as

fisheriesmixed-model analysesrate of evolutionrate of phenotypic change

Identifiers

PMID23789026
PMCPMC3684740

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.