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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.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.other | PURE: 290278921 | |
| dc.identifier.other | PURE UUID: 7a367413-56d7-4d2d-8aa7-e1c460036af2 | |
| dc.identifier.uri | http://hdl.handle.net/10023/27973 | |
| dc.description | 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.language.iso | eng | |
| dc.relation.ispartof | microPublication Biology | en |
| dc.rights | Copyright: © 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.subject | QH301 Biology | en |
| dc.subject | DAS | en |
| dc.subject | MCP | 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.description.version | Publisher PDF | 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 | https://doi.org/10.17912/micropub.biology.000821 | |
| dc.description.status | Peer reviewed | en |
| dc.identifier.grantnumber | 771387 | en |
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