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Article: A novel method for estimating the strength of positive mating preference by similarity in the wild
Title | A novel method for estimating the strength of positive mating preference by similarity in the wild |
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Authors | |
Keywords | mating pairs scale-of-choice effect assortative mating correlation coefficient mate choice |
Issue Date | 2017 |
Citation | Ecology and Evolution, 2017, v. 7, n. 9, p. 2883-2893 How to Cite? |
Abstract | © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. Mating preference can be a driver of sexual selection and assortative mating and is, therefore, a key element in evolutionary dynamics. Positive mating preference by similarity is the tendency for the choosy individual to select a mate which possesses a similar variant of a trait. Such preference can be modelled using Gaussian-like mathematical functions that describe the strength of preference, but such functions cannot be applied to empirical data collected from the field. As a result, traditionally, mating preference is indirectly estimated by the degree of assortative mating (using Pearson's correlation coefficient, r) in wild captured mating pairs. Unfortunately, r and similar coefficients are often biased due to the fact that different variants of a given trait are nonrandomly distributed in the wild, and pooling of mating pairs from such heterogeneous samples may lead to “false–positive” results, termed “the scale-of-choice effect” (SCE). Here we provide two new estimators of mating preference (Croughand Cscaled) derived from Gaussian-like functions which can be applied to empirical data. Computer simulations demonstrated that r coefficient showed robust estimations properties of mating preference but it was severely affected by SCE, Croughshowed reasonable estimation properties and it was little affected by SCE, while Cscaledshowed the best properties at infinite sample sizes and it was not affected by SCE but failed at biological sample sizes. We recommend using Croughcombined with the r coefficient to infer mating preference in future empirical studies. |
Persistent Identifier | http://hdl.handle.net/10722/262734 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Fernández-Meirama, Mónica | - |
dc.contributor.author | Estévez, Daniel | - |
dc.contributor.author | Ng, Terence P.T. | - |
dc.contributor.author | Williams, Gray A. | - |
dc.contributor.author | Carvajal-Rodríguez, Antonio | - |
dc.contributor.author | Rolán-Alvarez, Emilio | - |
dc.date.accessioned | 2018-10-08T02:46:53Z | - |
dc.date.available | 2018-10-08T02:46:53Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Ecology and Evolution, 2017, v. 7, n. 9, p. 2883-2893 | - |
dc.identifier.uri | http://hdl.handle.net/10722/262734 | - |
dc.description.abstract | © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. Mating preference can be a driver of sexual selection and assortative mating and is, therefore, a key element in evolutionary dynamics. Positive mating preference by similarity is the tendency for the choosy individual to select a mate which possesses a similar variant of a trait. Such preference can be modelled using Gaussian-like mathematical functions that describe the strength of preference, but such functions cannot be applied to empirical data collected from the field. As a result, traditionally, mating preference is indirectly estimated by the degree of assortative mating (using Pearson's correlation coefficient, r) in wild captured mating pairs. Unfortunately, r and similar coefficients are often biased due to the fact that different variants of a given trait are nonrandomly distributed in the wild, and pooling of mating pairs from such heterogeneous samples may lead to “false–positive” results, termed “the scale-of-choice effect” (SCE). Here we provide two new estimators of mating preference (Croughand Cscaled) derived from Gaussian-like functions which can be applied to empirical data. Computer simulations demonstrated that r coefficient showed robust estimations properties of mating preference but it was severely affected by SCE, Croughshowed reasonable estimation properties and it was little affected by SCE, while Cscaledshowed the best properties at infinite sample sizes and it was not affected by SCE but failed at biological sample sizes. We recommend using Croughcombined with the r coefficient to infer mating preference in future empirical studies. | - |
dc.language | eng | - |
dc.relation.ispartof | Ecology and Evolution | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | mating pairs | - |
dc.subject | scale-of-choice effect | - |
dc.subject | assortative mating | - |
dc.subject | correlation coefficient | - |
dc.subject | mate choice | - |
dc.title | A novel method for estimating the strength of positive mating preference by similarity in the wild | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1002/ece3.2835 | - |
dc.identifier.scopus | eid_2-s2.0-85016292816 | - |
dc.identifier.volume | 7 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | 2883 | - |
dc.identifier.epage | 2893 | - |
dc.identifier.eissn | 2045-7758 | - |
dc.identifier.isi | WOS:000402548900002 | - |
dc.identifier.issnl | 2045-7758 | - |