<div><p>Larvae were observed in grid-stirred turbulence and in three devices producing simpler flows dominated by strain, vorticity, or acceleration. The three simpler flow devices were operated either vertically or horizontally. In each device, multiple forcing frequencies were used so that larvae experienced a broad range of physical signals with intensities representative of most ocean regions.</p>
<p>In each device, larvae were gently added along with 105 cells mL-1 algae (~18 μm preserved <em>Thalassiosira weissflogii</em>; Reed Mariculture) used as flow tracers. Movements of larvae and flow were measured simultaneously using 2-dimensional (2D), infrared particle-image velocimetry (PIV). The PIV system consisted of a 4 megapixel CCD camera (FlowSense, Dantec Dynamics) with a 100 mm lens (Tokina) and a pulsed diode laser (NanoPower 4W or 7W, 808 nm) with a ~2 mm beam width. Image sizes and locations varied among flow tanks (Fig. S1, Fuchs et al. 2018). After an initial 10-20 min acclimation period, larvae were observed in still water for 5 min, and then four or five flow treatments were applied in random order with ≥10 min of no oscillation between successive treatments. Each treatment included a 10 min spin-up period for the flow to become stationary (statistically invariant in time) followed by 5—20 min of recording.</p></div>
<div><p>These data are published in:<br />
Fuchs, H.L., Gerbi, G.P, Hunter, E.J., & Christman, A.J. (2018, in press). Waves cue distinct behaviors and differentiate transport of congeneric snail larvae from sheltered versus wavy habitats. Proceedings of the National Academy of Sciences. doi: <a href="https://doi.org/10.1073/pnas.1804558115" target="_blank">10.1073/pnas.1804558115</a></p>
<p>The dataset includes processed data from Particle Imaging Velocimetry (PIV) observations of <em>Tritia trivittata</em> and<em> Tritia obsoleta</em>. For each experiment, replicates are pooled, and instantaneous observations from larval trajectories are condensed into tabular format. Data were collected from 21 June, 2012 to 10 July, 2014 at Rutgers' Department of Marine and Coastal Sciences.</p></div>
Snail larvae in turbulence and waves
<div><p>Data were processed using DynamicStudio (v.4.10, Dantec) and Matlab (2011b through 2016b, Mathworks). Fluid and larvae move in different directions, so we first separated the PIV images of particles and larvae using techniques for 2-phase flow. Fluid velocities were computed from the particle images with larvae masked out, and larval translational velocities were calculated from larval trajectories. Fluid motion and larval translation differ due to swimming or sinking movement relative to flow outside the larval boundary layer. In the vertical (<em>z</em>) dimension, <em>w</em>b=<em>w</em>o-<em>w</em>f, where <em>w</em>b is the instantaneous behavioral velocity, <em>w</em>f is the instantaneous flow velocity, and <em>w</em>o is the instantaneous translational (observed) velocity of an individual larva. The horizontal behavioral velocities were computed similarly for <em>u</em>b in the <em>x</em> dimension. Trajectories had mean durations of ~2 s in the weakest flow conditions down to ~0.1 s in the strongest flow conditions and were too short to analyze behavioral changes over time.</p>
<p>We used the PIV data to analyze larval swimming mechanics as a response to the instantaneous flow environments around individual larvae (Fuchs et al. 2013, 2015a, 2015b). The relevant hydrodynamic signals are the dissipation rate ε, strain rate γ, horizontal component of vorticity ξ, and fluid acceleration α. We calculated 2D approximations of these signals from fluid velocities and their gradients, interpolated in space and time to the larval observations.</p>
<p>Approximations for ε varied among flow tanks (Fuchs et al. 2013, 2015b). We also calculated the instantaneous fluid forces on individual larvae. The product of larval mass and acceleration is balanced by a vector sum of forces, including gravity, buoyancy, drag, Basset history forces, fluid acceleration, and the force that larvae exert to propel themselves (see Appendix of Fuchs et al. 2015b). Assuming larvae to be spherical, we computed all terms except propulsive force from measured velocities, larval size, and density (Fuchs et al. 2013), then solved the force balance equation for the propulsive force vector Fv, which indicates the magnitude and Cartesian direction of larval swimming effort. The propulsion direction was corrected to larval coordinates by estimating the vorticity-induced larval tilt angle ϕ (Fuchs 2013), and larvae were classified as "swimming" or "sinking/diving" if their propulsive force was directed upward (velum direction) or downward (shell direction), respectively, relative to the body axis.</p></div>
739790
Snail larvae in turbulence and waves
2018-07-12T12:32:51-04:00
2018-07-12T12:32:51-04:00
2023-07-07T16:10:26-04:00
urn:bcodmo:dataset:739790
Processed data from Particle Imaging Velocimetry (PIV) observations of Tritia trivittata and Tritia obsoleta behavior in various flow tanks
Dispersing marine larvae can alter their physical transport by swimming vertically or sinking in response to environmental signals. However, it remains unknown whether any signals could enable larvae to navigate over large scales. We tested whether flow-induced larval behaviors vary with adults' physical environments using congeneric snail larvae from the wavy continental shelf (Tritia trivittata) and from turbulent inlets (Tritia obsoleta). This dataset includes observations of larvae in turbulence, in rotating flows dominated by vorticity or strain rates, and in rectilinear wave oscillations. Larval and water motion were observed using near-infrared particle image velocimetry (IR PIV), and analyses identified threshold signals causing larvae to change their direction or magnitude of propulsive force. The two species reacted similarly to turbulence but differently to waves, and their transport patterns would diverge in wavy, offshore regions. Wave-induced behaviors provide evidence that larvae may detect waves as both motions and sounds useful in navigation.
false
Fuchs, H., Gerbi, G., Hunter, E., Christman, A. (2018) Processed data from Particle Imaging Velocimetry (PIV) observations of Tritia trivittata and Tritia obsoleta behavior in various flow tanks. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-07-12 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.739873 [access date]
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10.1575/1912/bco-dmo.739873
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acceleration
flow sensing
larval transport
wave climates
veligers
2018-07-12
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739790
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2012-06-21 - 2014-07-10
2012-06-21
2012-06-21
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2014-07-10
2014-07-10
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