2022
DOI: 10.1007/s10682-022-10181-w
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Female preference for super-sized male ornaments and its implications for the evolution of ornament allometry

Abstract: It has been argued that disproportionately larger ornaments in bigger males—positive allometry—is the outcome of sexual selection operating on the size of condition dependent traits. We reviewed the literature and found a general lack of empirical testing of the assumed link between female preferences for large ornaments and a pattern of positive allometry in male ornamentation. We subsequently conducted a manipulative experiment by leveraging the unusual terrestrial fish, Alticus sp. cf. simplicirrus, on the … Show more

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Cited by 6 publications
(1 citation statement)
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“…These concepts directly contribute to estimating fish biomass from length data (Kapiris & Klaoudatos, 2011; Konan, 2017; Randall, 2002; Rodríguez et al ., 2017; Sangun et al ., 2007), providing a species condition factor (Jisr et al ., 2018; Prestes et al ., 2019), helping to predict fish feed consumption (Wiff & Roa‐Ureta, 2008) and estimate stocking densities under land‐base farm‐like conditions (Merino et al ., 2022). However, allometry also differentiates life‐history and morphologic traits, such as growth patterns during early developmental stages (Comabella et al ., 2013; Lackmann et al ., 2022; Mitra et al ., 2016; Osse & Boogaart, 1995; Stoltz et al ., 2005) and fish behaviour (Baldauf et al ., 2010; Barros et al ., 2015; Dunlap et al ., 2019; Taugbol et al ., 2020), which in turn influence population and community structure and set distinctive spatial, evolutionary and geographical distributions (Davenport, 2003; Furness et al ., 2021; Garita‐Alvarado & Ornelas‐Garcia, 2021; Kapiris & Klaoudatos, 2011; Oliveira et al ., 2018; Summers & Ord, 2022; Vega‐Trejo et al ., 2022). Therefore, allometric relations may improve the current knowledge on commercially important fish species, foreseeing their conservation and/or sustainable exploration of fish stocks, e.g ., by assessing optimal release size in fish‐stocking programs (Lorenzen, 2000).…”
Section: Introductionmentioning
confidence: 99%
“…These concepts directly contribute to estimating fish biomass from length data (Kapiris & Klaoudatos, 2011; Konan, 2017; Randall, 2002; Rodríguez et al ., 2017; Sangun et al ., 2007), providing a species condition factor (Jisr et al ., 2018; Prestes et al ., 2019), helping to predict fish feed consumption (Wiff & Roa‐Ureta, 2008) and estimate stocking densities under land‐base farm‐like conditions (Merino et al ., 2022). However, allometry also differentiates life‐history and morphologic traits, such as growth patterns during early developmental stages (Comabella et al ., 2013; Lackmann et al ., 2022; Mitra et al ., 2016; Osse & Boogaart, 1995; Stoltz et al ., 2005) and fish behaviour (Baldauf et al ., 2010; Barros et al ., 2015; Dunlap et al ., 2019; Taugbol et al ., 2020), which in turn influence population and community structure and set distinctive spatial, evolutionary and geographical distributions (Davenport, 2003; Furness et al ., 2021; Garita‐Alvarado & Ornelas‐Garcia, 2021; Kapiris & Klaoudatos, 2011; Oliveira et al ., 2018; Summers & Ord, 2022; Vega‐Trejo et al ., 2022). Therefore, allometric relations may improve the current knowledge on commercially important fish species, foreseeing their conservation and/or sustainable exploration of fish stocks, e.g ., by assessing optimal release size in fish‐stocking programs (Lorenzen, 2000).…”
Section: Introductionmentioning
confidence: 99%