Evidence map›Paper›PMID 26843397›Full record

ArticleEcology letters2016

The effects of asymmetric competition on the life history of Trinidadian guppies.

Ronald D Bassar, Dylan Z Childs, Mark Rees, Shripad Tuljapurkar, David N Reznick, Tim Coulson

Abstract read
In one paragraph

Article in Ecology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  12. Individual differences determine the strength of ecological interactions.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

6 authors.

Ronald D BassarDepartment of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK.
Dylan Z ChildsDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.
Mark ReesDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.
Shripad TuljapurkarDepartment of Biology, Stanford University, Palo Alto, CA, USA.
David N ReznickDepartment of Biology, University of California, Riverside, CA, USA.
Tim CoulsonDepartment of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of asymmetric interactions on population dynamics has been widely investigated, but there has been little work aimed at understanding how life history parameters like generation time, life expectancy and the variance in lifetime reproductive success are impacted by different types of competition. We develop a new framework for incorporating trait-mediated density-dependence into size-structured models and use Trinidadian guppies to show how different types of competitive interactions impact life history parameters. Our results show the degree of symmetry in competitive interactions can have dramatic effects on the speed of the life history. For some vital rates, shifting the competitive superiority from small to large individuals resulted in a doubling of the generation time. Such large influences of competitive symmetry on the timescale of demographic processes, and hence evolution, highlights the interwoven nature of ecological and evolutionary processes and the importance of density-dependence in understanding eco-evolutionary dynamics.

Indexed as

Competitive BehaviorAnimalsFemaleModels, BiologicalPoeciliaPopulation DynamicsAsymmetrical competitioncontest competitionintegral projection modelinteraction surfacemesocosmscramble competitionsymmetrical competition

Identifiers

PMID26843397
PMCPMC4991285

What OpenQuestion holds

Textmetadata
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.