Time resolved measurements of the flow generated by suction feeding fish

Day, Steven M.; Higham, Timothy E.; Wainwright, Peter C.

doi:10.1007/978-3-642-11633-9_8

Cited by 8 publications

(13 citation statements)

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“…Suction flows are characteristically unsteady, attaining fast flows (>3 m/s) within very short time frames (>20 ms) (Day et al 2005;Higham et al 2006;Holzman et al 2008;Staab et al 2012). Steep pressure and velocity gradients are also characteristic, with flows decaying to <1 % of their speed within a distance of one mouth (orifice) diameter (Day et al 2005(Day et al , 2007Higham et al 2006;Holzman et al 2008;Staab et al 2012). Flows typically start at the onset of mouth opening, and inward flow occurs consistently until the mouth closes.…”

Section: Introductionmentioning

confidence: 97%

Characterization of zebrafish larvae suction feeding flow using μPIV and optical coherence tomography

et al. 2016

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Section: Introductionmentioning

confidence: 97%

Characterization of zebrafish larvae suction feeding flow using μPIV and optical coherence tomography

et al. 2016

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“…DPIV has been used extensively to examine both feeding and locomotion in aquatic animals, particularly fishes (e.g., Day et al, , ; Holzman et al, ; Lauder and Madden, ; Nauwelaerts et al, ; Lauder, ). Microscopic, coated glass spheres act as seeding particles, remaining neutrally buoyant in the water column.…”

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confidence: 99%

A simple, inexpensive system for digital particle image velocimetry (DPIV) in biomechanics

Ryerson

Schwenk²

2011

J. Exp. Zool.

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Functional morphology and biomechanics seek to reveal the mechanistic bases of organismal functions and the physical principles involved at the phenotype-environment interface. Characterization of fluid flow (air or water) within and around organismal structures is an example of this approach. Digital particle imaging velocimetry (DPIV) has been exploited in a variety of biological systems to visualize fluid flow associated with animal movement. DPIV employs particles suspended in air or water that are illuminated by a laser light sheet and recorded with a high-speed video camera. Software tracks particle movement across a specified number of video frames, generating vector diagrams showing patterns of fluid flow through time. As powerful as DPIV methods are, they are limited in application by the high cost and complexity of the equipment required. In this article, we describe a simple DPIV system that substitutes widely available, inexpensive consumer components for scientific-grade equipment to achieve low cost (<$1,000 total) and high accuracy (total error calculated to be approx. 6%, as compared with 5% in professional systems). We have employed this system successfully in our studies on the fluid dynamics of chemosensory tongue-flicking in snakes. This system can be used for research and teaching in labs that typically cannot afford the expense or commitment of a traditional DPIV apparatus and is particularly suited for obtaining preliminary data required to justify further grant and institutional support.

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“…In zebrafish, the bow wave appears to limit the distance to which a fish can approach near-neutrally buoyant suspended prey, forcing predators to rely on suction and forward body motion (ram) for successful prey capture (Figure 6a-c). In many suction feeding fish, flows decay to <1% within the distance of one mouth diameter (Day, Higham, Cheer, & Wainwright, 2005;Day, Higham, & Wainwright, 2007;Higham, Day, & Wainwright, 2006;Holzman, Collar, Day, Bishop, & Wainwright, 2008;Staab, Holzman, Hernandez, & Wainwright, 2012). From our PIV data, we observe that zebrafish produce suction flows that extend only to the front edge of the bow wave, and not beyond (Figure 6b)-indicating that successful prey captures only occur if and when the fish is able to approach the prey at, or even within, the front limit of the bow wave.…”

Section: Escaping the Bow Wavementioning

confidence: 77%

Longer development provides first‐feeding fish time to escape hydrodynamic constraints

Dial

Lauder

2020

Journal of Morphology

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What is the functional effect of prolonged development? By controlling for size, we quantify first-feeding performance and hydrodynamics of zebrafish and guppy offspring (5 ± 0.5 mm in length), which differ fivefold in developmental time and twofold in ontogenetic state. By manipulating water viscosity, we control the hydrodynamic regime, measured as Reynolds number. We predicted that if feeding performance were strictly the result of hydrodynamics, and not development, feeding performance would scale with Reynolds number. We find that guppy offspring successfully feed at much greater distances to prey (1.0 vs. 0.2 mm) and with higher capture success (90 vs. 20%) compared with zebrafish larvae, and that feeding performance was not a result of Reynolds number alone. Flow visualization shows that zebrafish larvae produce a bow wave 0.2 mm in length, and that the flow field produced during suction does not extend beyond this bow wave. Due to well-developed oral jaw protrusion, the similar-sized suction field generated by guppy offspring extends beyond the horizon of their bow wave, leading to successful prey capture from greater distances. These findings suggest that prolonged development and increased ontogenetic state provides first-feeding fish time to escape the pervasive hydrodynamic constraints (bow wave) of being small.

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Time resolved measurements of the flow generated by suction feeding fish

Cited by 8 publications

References 0 publications

Characterization of zebrafish larvae suction feeding flow using μPIV and optical coherence tomography

Characterization of zebrafish larvae suction feeding flow using μPIV and optical coherence tomography

A simple, inexpensive system for digital particle image velocimetry (DPIV) in biomechanics

Longer development provides first‐feeding fish time to escape hydrodynamic constraints

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