Evidence map›Paper›PMID 23339246›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2013

Sexual networks: measuring sexual selection in structured, polyandrous populations.

Grant C McDonald, Richard James, Jens Krause, Tommaso Pizzari

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  13. Structure of sexual networks determines the operation of sexual selection.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  14. Article
  15. Article
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  18. The polyandry revolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013
    Article
  19. Social network position predicts male mating success in a small passerine.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    Article
  20. Comparing pre- and post-copulatory mate competition using social network analysis in wild crickets.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    Article
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

4 authors.

Grant C McDonaldEdward Grey Institute, Department of Zoology, University of Oxford, Oxford, UK. grant.mcdonald@zoo.ox.ac.uk
Richard James
Jens Krause
Tommaso Pizzari

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sexual selection is traditionally measured at the population level, assuming that populations lack structure. However, increasing evidence undermines this approach, indicating that intrasexual competition in natural populations often displays complex patterns of spatial and temporal structure. This complexity is due in part to the degree and mechanisms of polyandry within a population, which can influence the intensity and scale of both pre- and post-copulatory sexual competition. Attempts to measure selection at the local and global scale have been made through multi-level selection approaches. However, definitions of local scale are often based on physical proximity, providing a rather coarse measure of local competition, particularly in polyandrous populations where the local scale of pre- and post-copulatory competition may differ drastically from each other. These limitations can be solved by social network analysis, which allows us to define a unique sexual environment for each member of a population: 'local scale' competition, therefore, becomes an emergent property of a sexual network. Here, we first propose a novel quantitative approach to measure pre- and post-copulatory sexual selection, which integrates multi-level selection with information on local scale competition derived as an emergent property of networks of sexual interactions. We then use simple simulations to illustrate the ways in which polyandry can impact estimates of sexual selection. We show that for intermediate levels of polyandry, the proposed network-based approach provides substantially more accurate measures of sexual selection than the more traditional population-level approach. We argue that the increasing availability of fine-grained behavioural datasets provides exciting new opportunities to develop network approaches to study sexual selection in complex societies.

Indexed as

Models, BiologicalSelection, GeneticSocial EnvironmentAnimalsCompetitive BehaviorComputer SimulationFemaleMaleMating Preference, AnimalSexual Behavior, Animal

Identifiers

PMID23339246
PMCPMC3576589

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.