Evidence map›Paper›PMID 29321293›Full record

ArticleProceedings. Biological sciences2018

Individual variation in reproductive behaviour is linked to temporal heterogeneity in predation risk.

Miguel Barbosa, Amy E Deacon, Maria Joao Janeiro, Indar Ramnarine, Michael Blair Morrissey, Anne E Magurran

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Long-term environmental stability does not erode plasticity in nest building responses to changing ambient conditions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
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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

6 authors.

Miguel BarbosaCentre for Biological Diversity, University of St Andrews, St Andrews, Fife KY16 8LB, UK mb334@st-andrews.ac.uk.ORCID 0000-0003-0327-9580
Amy E DeaconSchool of Biology, University of St Andrews, St Andrews, Fife KY16 8LB, UK.
Maria Joao JaneiroSchool of Biology, University of St Andrews, St Andrews, Fife KY16 8LB, UK.
Indar RamnarineDepartment of Life Sciences, The University of the West Indies, St Augustine, Trinidad and Tobago.
Michael Blair MorrisseySchool of Biology, University of St Andrews, St Andrews, Fife KY16 8LB, UK.
Anne E MagurranCentre for Biological Diversity, University of St Andrews, St Andrews, Fife KY16 8LB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variation in predation risk is a major driver of ecological and evolutionary change, and, in turn, of geographical variation in behaviour. While predation risk is rarely constant in natural populations, the extent to which variation in predation risk shapes individual behaviour in wild populations remains unclear. Here, we investigated individual differences in reproductive behaviour in 16 Trinidadian guppy populations and related it to the observed variation in predator biomass each population experienced. Our results show that high heterogeneity in predator biomass is linked to individual behavioural diversification. Increased within-population heterogeneity in predator biomass is also associated with behavioural polymorphism. Some individuals adjust the frequency of consensual mating behaviour in response to differences in sex ratio context, while others display constantly at elevated frequencies. This pattern is analogous to a 'live fast, die young' pace-of-life syndrome. Notably, both high and low mean differences in predator biomass led to a homogenization of individual frequency of consensual mating displays. Overall, our results demonstrate that individual behavioural variation is associated with heterogeneity in predator biomass, but not necessarily with changes in mean values of predator biomass. We suggest that heterogeneity in predator biomass is an informative predictor of adaptive responses to changes in biotic conditions.

Indexed as

Biological Variation, IndividualAdaptation, PsychologicalAnimalsBiological EvolutionCopulationMaleModels, StatisticalPoeciliaPredatory BehaviorSex RatioSexual Behavior, Animalbehavioural diversificationheterogeneitypersonalitypredation risksexual behaviour

Identifiers

PMID29321293
PMCPMC5784187

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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.