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A simulation test of the prediction that density-dependent dispersal promotes female-biased sex allocation in viscous populations
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dc.contributor.author | Chokechaipaisarn, Chedhawat | |
dc.contributor.author | Gardner, Andy | |
dc.date.accessioned | 2023-07-17T14:30:07Z | |
dc.date.available | 2023-07-17T14:30:07Z | |
dc.date.issued | 2023-07-11 | |
dc.identifier | 290278921 | |
dc.identifier | 7a367413-56d7-4d2d-8aa7-e1c460036af2 | |
dc.identifier.citation | Chokechaipaisarn , C & Gardner , A 2023 , ' A simulation test of the prediction that density-dependent dispersal promotes female-biased sex allocation in viscous populations ' , microPublication Biology . https://doi.org/10.17912/micropub.biology.000821 | en |
dc.identifier.issn | 2578-9430 | |
dc.identifier.uri | https://hdl.handle.net/10023/27973 | |
dc.description | Funding: This work was supported by the Queen Sirikit Scholarship and the European Research Council (grant no. 771387). | en |
dc.description.abstract | A 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.format.extent | 4 | |
dc.format.extent | 619927 | |
dc.language.iso | eng | |
dc.relation.ispartof | microPublication Biology | en |
dc.subject | QH301 Biology | en |
dc.subject | DAS | en |
dc.subject.lcc | QH301 | en |
dc.title | A simulation test of the prediction that density-dependent dispersal promotes female-biased sex allocation in viscous populations | en |
dc.type | Journal article | en |
dc.contributor.sponsor | European Research Council | en |
dc.contributor.institution | University of St Andrews. School of Biology | en |
dc.contributor.institution | University of St Andrews. Centre for Biological Diversity | en |
dc.contributor.institution | University of St Andrews. Institute of Behavioural and Neural Sciences | en |
dc.contributor.institution | University of St Andrews. St Andrews Bioinformatics Unit | en |
dc.identifier.doi | 10.17912/micropub.biology.000821 | |
dc.description.status | Peer reviewed | en |
dc.identifier.grantnumber | 771387 | en |
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