2017
DOI: 10.1371/journal.pone.0184679
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A morphological and functional basis for maximum prey size in piscivorous fishes

Abstract: Fish predation is important in shaping populations and community structure in aquatic systems. These predator-prey interactions can be influenced by environmental, behavioural and morphological factors. Morphological constraints influence the feeding performance of species, and interspecific differences can thus affect patterns of resource use. For piscivorous fishes that swallow prey whole, feeding performance has traditionally been linked to three key morphological constraints: oral gape, pharyngeal gape, an… Show more

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Cited by 78 publications
(74 citation statements)
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“…At an individual level, the trajectory of increase in trophic level was variable between individuals, with six significantly different trajectory types identified from a generalised additive model. Typically, increases in trophic level are attributed to increases in gape size (Mihalitsis & Bellwood, ), which would lead to a linear increase in trophic level with girth (in our case indicated by distance from vertebral centra). While this pattern was evident in three of the sharks sampled, a similar number of individuals displayed trajectories that were exponential ( n = 4) or asymptotic ( n = 3).…”
Section: Discussionmentioning
confidence: 83%
See 1 more Smart Citation
“…At an individual level, the trajectory of increase in trophic level was variable between individuals, with six significantly different trajectory types identified from a generalised additive model. Typically, increases in trophic level are attributed to increases in gape size (Mihalitsis & Bellwood, ), which would lead to a linear increase in trophic level with girth (in our case indicated by distance from vertebral centra). While this pattern was evident in three of the sharks sampled, a similar number of individuals displayed trajectories that were exponential ( n = 4) or asymptotic ( n = 3).…”
Section: Discussionmentioning
confidence: 83%
“…Examining the potential contribution of prey items to the diets of great hammerheads with 15 N, 13 C and 34 S stable isotopes may facilitate more accurately evaluating their resource use in coastal food webs. As in many elasmobranch species, trophic levels among populations of great hammerheads are likely to increase with body size: fishes and sharks with larger gape sizes tend to feed on larger organisms, which themselves are more likely to be at higher trophic levels (Hammerschlag, ; Mihalitsis & Bellwood, ). Greater biophysical rigidity in jaw structure comes with increased size (Ferrara et al ., ) and the associated greater mobility and strength also allow capture of larger prey (Lowe, ).…”
Section: Introductionmentioning
confidence: 99%
“…Fishes are limited in the size of prey items they can capture and ingest by their gape size (Mihalitsis & Bellwood, 2017). This imposes a fixed maximum size on the prey items available and restricts the size at which feeding behaviours such as winnowing can be performed (Schmitt & Holbrook, 1984).…”
Section: (A) Feedingmentioning
confidence: 99%
“…Mesopredatory fishes were classified as "small" (≤50 cm TL), "medium" (50-100 cm TL), and "large" (>100 cm TL) (e.g., Roff et al, 2019). Many sharks and large predatory teleosts are limited by gape width to consuming prey that are ~≤40% of their body length (Barley et al, 2017b;Bethea, Buckel, & Carlson, 2004), and up to as much as half their body length for some piscivores (Mihalitsis & Bellwood, 2017;Scharf, Juanes, & Rountree, 2000). As all species of shark recorded in our study attained at least 150 cm TL, the "small" size class of reef fishes was within the size range of prey for all species of shark, and the "medium" and "large" size classes were within the prey size range of apex species (>300 cm TL) such as tiger (Galeocerdo cuvier), bull (Carcharhinus leucas), and greater hammerhead (Sphyrna mokarran) sharks, although these larger species are not necessarily limited by gape width due to a variety of prey manipulation strategies (Braccini, 2008;Lucifora, García, Menni, & Escalante, 2006).…”
Section: Data Processingmentioning
confidence: 99%