Show simple item record

Files in this item


Item metadata

dc.contributor.authorChokechaipaisarn, Chedhawat
dc.contributor.authorGardner, Andy
dc.identifier.citationChokechaipaisarn , C & Gardner , A 2023 , ' A simulation test of the prediction that density-dependent dispersal promotes female-biased sex allocation in viscous populations ' , microPublication Biology .
dc.identifier.otherPURE: 290278921
dc.identifier.otherPURE UUID: 7a367413-56d7-4d2d-8aa7-e1c460036af2
dc.descriptionThis work was supported by the Queen Sirikit Scholarship and the European Research Council (grant no. 771387).en
dc.description.abstractA classic result of sex-allocation theory is that the sex ratio is predicted to be invariant with respect to the rate of dispersal. However, a recent mathematical analysis has suggested that if individuals are able to adjust their probability of dispersal according to the local density of their neighbourhood, then a lower rate of dispersal will be associated with greater female-bias. Here, we perform a computer simulation test of this prediction. Our simulation data provide strong qualitative support for the prediction, and a Monte Carlo randomization test of significance allows us to reject the null hypothesis of the invariance relationship.
dc.relation.ispartofmicroPublication Biologyen
dc.rightsCopyright: © 2023 by the authors. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.subjectQH301 Biologyen
dc.titleA simulation test of the prediction that density-dependent dispersal promotes female-biased sex allocation in viscous populationsen
dc.typeJournal articleen
dc.contributor.sponsorEuropean Research Councilen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. St Andrews Bioinformatics Uniten
dc.description.statusPeer revieweden

This item appears in the following Collection(s)

Show simple item record