A simulation test of the prediction that density-dependent dispersal promotes female-biased sex allocation in viscous populations

Chedhawat Chokechaipaisarn*, Andy Gardner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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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.
Original languageEnglish
Number of pages4
JournalmicroPublication Biology
Early online date11 Jul 2023
DOIs
Publication statusE-pub ahead of print - 11 Jul 2023

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