Evidence map›Paper›PMID 28760756›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017

Estimating adult sex ratios in nature.

Sergio Ancona, Francisco V Dénes, Oliver Krüger, Tamás Székely, Steven R Beissinger

Open access · bronzeAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
21.6field-weighted citation impact, top 1% of its field
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

44 citing papers in PubMed, 129 citations in OpenAlex.

  1. Article
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  12. The evolution of sex roles: The importance of ecology and social environment.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Eviction-driven infanticide and sexually selected adoption and infanticide in a neotropical parrot.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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 at 5 institutions in 5 countries.

Sergio AnconaCentro Tlaxcala de Biología de la Conducta, Universidad Autónoma de Tlaxcala, Tlaxcala 90070, Mexico ancona.s@gmail.com siancona@conacyt.mx.ORCID http://orcid.org/0000-0003-4595-1953
Francisco V DénesDepartment of Conservation Biology, Estación Biológica de Doñana, CSIC, Sevilla E-41092, Spain.ORCID http://orcid.org/0000-0002-9870-7682
Oliver KrügerDepartment of Animal Behaviour, University of Bielefeld, PO Box 100131, Bielefeld 33501, Germany.
Tamás SzékelyMilner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK.ORCID http://orcid.org/0000-0003-2093-0056
Steven R BeissingerDepartment of Environmental Science, Policy and Management and Museum of Vertebrate Zoology, University of California, Berkeley, California CA 94720-3110, USA.
Autonomous University of Tlaxcala · MXBielefeld University · DEEstación Biológica de Doñana · ESInstitute for Advanced Study · DEMuseum of Vertebrate Zoology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adult sex ratio (ASR, the proportion of males in the adult population) is a central concept in population and evolutionary biology, and is also emerging as a major factor influencing mate choice, pair bonding and parental cooperation in both human and non-human societies. However, estimating ASR is fraught with difficulties stemming from the effects of spatial and temporal variation in the numbers of males and females, and detection/capture probabilities that differ between the sexes. Here, we critically evaluate methods for estimating ASR in wild animal populations, reviewing how recent statistical advances can be applied to handle some of these challenges. We review methods that directly account for detection differences between the sexes using counts of unmarked individuals (observed, trapped or killed) and counts of marked individuals using mark-recapture models. We review a third class of methods that do not directly sample the number of males and females, but instead estimate the sex ratio indirectly using relationships that emerge from demographic measures, such as survival, age structure, reproduction and assumed dynamics. We recommend that detection-based methods be used for estimating ASR in most situations, and point out that studies are needed that compare different ASR estimation methods and control for sex differences in dispersal.This article is part of the themed issue 'Adult sex ratios and reproductive decisions: a critical re-examination of sex differences in human and animal societies'.

Indexed as

Sex RatioAnimalsEcologyFemaleMaleModels, StatisticalSampling Studiesadult sex ratiobiasmark–recapturetwo-sex matrix modelsunmarked populations

Identifiers

PMID28760756
PMCPMC5540855
OpenAlexW2740333159

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.