2017
DOI: 10.1016/j.anbehav.2017.06.026
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It's complicated: the association between songbird extrapair paternity and within-song complexity

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Cited by 10 publications
(8 citation statements)
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“…Grackles: versatility associated with polygynyShutler and Weatherhead (1990) 50 56One family: Parulinae Some analyses within generaSyllables/song, Song repertoire, Duration, Song rate, Time singing, FrequencyMonogamy/PolygynyMann–WhitneyMonogamous species had larger syllable repertoiresRead and Weary (1992) 30 142Test within superfamilies: Tyrannoidea, Corvoidea, Fringilloidea, Sylvioidea, TurdoideaSyllables/song, Song repertoire, Interval, Duration, Song rate, Continuity, VersatilityMonogamy/PolygynyBinomial Rank orderPolygyny associated with lower song rates across all species, Sylls/song positively associated with polygyny across all speciesGaramszegi and Møller (2004) 38 65Phylogenetic control—generalized least squares models via software Continuous (Pagel, 1997, 1999)Syllables/song, Song repertoire, Interval, Duration, Song rate, Continuity, VersatilityEPP (Continuous)Generalized least squares models for continuous variablesNo correlation between song characteristics and EPPSoma and Garamszegi (2011) 23 26, 24None (for these data)“Complexity” term encompassing syllable repertoire, song repertoire, and song versatilityEPP (3 groups); Monogamy, Fac. Polygyny, PolygynyMeta-regression analysisNo significant correlation between song complexity and EPP or mating systemHill et al (2017) 39 78Phylogenetic control—PGLS analysisSyllable repertoire, Syllables/song, Song repertoire, Duration, Versatility, Syll. transitions/song, Within-song complexityEPP (continuous); Monogamy/“Polygamy”/CooperativeLinear regressionSyllables per song (unique), syllable transitions per song, overall within-song complexity positively correlated with EPPCurrent study890Phylogenetic controlSyllable repertoire ( N = 120), Syllables/song ( N = 178), Song repertoire ( N = 225), Interval ( N = 131), Duration ( N = 241), Song rate ( N = 126), Continuity ( N = 126)EPP (Low/High) ( N = 142); Monogamy/Polygyny ( N = 764)PhylANOVA, Brownie, BayesTraits, PGLS, GLMM (see Methods)Syllable repertoire and song duration evolve faster in polygynous species; Syllable repertoire is smaller in species with high EPPDefinitions of song terms tested in this study are provided in Table 2.…”
Section: Introductionmentioning
confidence: 99%
“…Grackles: versatility associated with polygynyShutler and Weatherhead (1990) 50 56One family: Parulinae Some analyses within generaSyllables/song, Song repertoire, Duration, Song rate, Time singing, FrequencyMonogamy/PolygynyMann–WhitneyMonogamous species had larger syllable repertoiresRead and Weary (1992) 30 142Test within superfamilies: Tyrannoidea, Corvoidea, Fringilloidea, Sylvioidea, TurdoideaSyllables/song, Song repertoire, Interval, Duration, Song rate, Continuity, VersatilityMonogamy/PolygynyBinomial Rank orderPolygyny associated with lower song rates across all species, Sylls/song positively associated with polygyny across all speciesGaramszegi and Møller (2004) 38 65Phylogenetic control—generalized least squares models via software Continuous (Pagel, 1997, 1999)Syllables/song, Song repertoire, Interval, Duration, Song rate, Continuity, VersatilityEPP (Continuous)Generalized least squares models for continuous variablesNo correlation between song characteristics and EPPSoma and Garamszegi (2011) 23 26, 24None (for these data)“Complexity” term encompassing syllable repertoire, song repertoire, and song versatilityEPP (3 groups); Monogamy, Fac. Polygyny, PolygynyMeta-regression analysisNo significant correlation between song complexity and EPP or mating systemHill et al (2017) 39 78Phylogenetic control—PGLS analysisSyllable repertoire, Syllables/song, Song repertoire, Duration, Versatility, Syll. transitions/song, Within-song complexityEPP (continuous); Monogamy/“Polygamy”/CooperativeLinear regressionSyllables per song (unique), syllable transitions per song, overall within-song complexity positively correlated with EPPCurrent study890Phylogenetic controlSyllable repertoire ( N = 120), Syllables/song ( N = 178), Song repertoire ( N = 225), Interval ( N = 131), Duration ( N = 241), Song rate ( N = 126), Continuity ( N = 126)EPP (Low/High) ( N = 142); Monogamy/Polygyny ( N = 764)PhylANOVA, Brownie, BayesTraits, PGLS, GLMM (see Methods)Syllable repertoire and song duration evolve faster in polygynous species; Syllable repertoire is smaller in species with high EPPDefinitions of song terms tested in this study are provided in Table 2.…”
Section: Introductionmentioning
confidence: 99%
“…Although our results might lend support to this latter hypothesis, we are hesitant to draw strong conclusions due to the number of potential co‐varying factors. For example, it may be that both variables are increased by a shared factor not considered here (for example extra‐pair paternity, Hill et al ). This relationship, therefore, introduces questions for future research to explore.…”
Section: Discussionmentioning
confidence: 99%
“…Average strophe duration is a parameter of strophe versatility, an aspect of song complexity known as 'within-song' complexity (Leitão et al 2006). It has been proposed that within-song complexity variables are more closely associated with male-male communication (Hill et al 2017). Duller males usually face less competition from darker males, possibly because they more closely resemble females (Drost 1936), and this may reduce the risk of conflict with better-quality conspecifics (Slagsvold & Lifjeld 1992;Slagsvold & Saetre 1991).…”
Section: Discussionmentioning
confidence: 99%
“…Song complexity can be defined by different measurements, where the variables that make up song complexity is dependent on the researcher (Boogert et al 2008;Garamszegi et al 2006;Hill et al 2017). An example of a measurement of song complexity is repertoire size, which in some cases, is defined as the number of different syllables in a song (Espmark & Lampe 1993;Searcy & Andersson 1986).…”
Section: Introductionmentioning
confidence: 99%