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

Chedhawat Chokechaipaisarn; Andy Gardner

doi:10.17912/micropub.biology.000821

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 journal › Article › peer-review

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 language	English
Number of pages	4
Journal	microPublication Biology
Early online date	11 Jul 2023
DOIs	https://doi.org/10.17912/micropub.biology.000821
Publication status	E-pub ahead of print - 11 Jul 2023

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10.17912/micropub.biology.000821

Chokechaipaisarn_2023_mPB_Simulation-test_CC
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.
Final published version, 605 KBLicence: CC BY

SOCIOCOMPLEXITY - New Paradigms: H2020 ERC Consolidator Grant 2017
Gardner, A. (PI)
European Research Council
1/05/18 → 31/10/24
Project: Standard

Model: A simulation test of the prediction that density-dependent dispersal promotes female-biased sex allocation in viscous populations
Chokechaipaisarn, C. (Creator), University of Caltech, 2023
DOI: 10.22002/17pny-n3v48, http://10.22002/rnzse-p0686
Dataset: Software

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

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.",

author = "Chedhawat Chokechaipaisarn and Andy Gardner",

note = "Funding: This work was supported by the Queen Sirikit Scholarship and the European Research Council (grant no. 771387).",

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AU - Chokechaipaisarn, Chedhawat

AU - Gardner, Andy

N1 - Funding: This work was supported by the Queen Sirikit Scholarship and the European Research Council (grant no. 771387).

PY - 2023/7/11

Y1 - 2023/7/11

N2 - 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.

AB - 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.

U2 - 10.17912/micropub.biology.000821

DO - 10.17912/micropub.biology.000821

M3 - Article

SN - 2578-9430

JO - microPublication Biology

JF - microPublication Biology

ER -

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

Abstract

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SOCIOCOMPLEXITY - New Paradigms: H2020 ERC Consolidator Grant 2017

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

Cite this