2022
DOI: 10.1371/journal.pone.0267338
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An investigation of bubble resonance and its implications for sound production by deep-water fishes

Abstract: Although the continental slope and abyss comprise the largest habitat on earth, the absence of documented fish sounds from deep waters is striking. Fishes with sexually dimorphic muscles attached to their swim bladders suggests that sounds are likely used in male courtship on the upper, mid and lower continental slope. To investigate the effects of environmental extremes on fish sound production, the acoustic behavior of a driven bubble is examined. This study is also relevant to target strength of sonar retur… Show more

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Cited by 6 publications
(1 citation statement)
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“…For example, the Otophysi is a speciose group of hearing specialists comprising approximately 67% of all freshwater fish species (Nakatani et al, 2011). The Otophysi possess modified ribs called Weberian ossicles that link the gas bladder to the inner ear allowing these fishes to detect a wide range of sound stimuli (Kasumyan, 2008;Higgs et al, 2011;Ladich, 2019;Fine & Parmentier, 2022;Sprague et al, 2022). Fathead minnows (Pimephales promelas), glowlight tetras (Hemigrammus erythrozonus) and zebrafish (Danio rerio) (all otophysans) can associate novel auditory stimuli with risk of predation via releaser-induced recognition learning (Wisenden et al, 2008;Seigel et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…For example, the Otophysi is a speciose group of hearing specialists comprising approximately 67% of all freshwater fish species (Nakatani et al, 2011). The Otophysi possess modified ribs called Weberian ossicles that link the gas bladder to the inner ear allowing these fishes to detect a wide range of sound stimuli (Kasumyan, 2008;Higgs et al, 2011;Ladich, 2019;Fine & Parmentier, 2022;Sprague et al, 2022). Fathead minnows (Pimephales promelas), glowlight tetras (Hemigrammus erythrozonus) and zebrafish (Danio rerio) (all otophysans) can associate novel auditory stimuli with risk of predation via releaser-induced recognition learning (Wisenden et al, 2008;Seigel et al, 2021).…”
Section: Introductionmentioning
confidence: 99%