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Dissertation - HQ

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34 Behaviour in models<br />

of measured distributions of larvae that was impossible to<br />

achieve with passively drifting model larvae (Wolanski et al.<br />

1997).<br />

1.4.3 Simple modelling tests<br />

Testing for the importance of un-oriented swimming can be achieved<br />

by increasing the variance of the random walk/flight in the Lagrangian<br />

tracking scheme. This is especially efficient for swimming speeds that<br />

are small compared to ambient current velocities (e.g. one or more<br />

orders of magnitude smaller).<br />

If orientation behaviour is not known, testing extreme oriented<br />

swimming scenarios can give insights on the extent to which swimming<br />

can influence trajectories. Such scenarios can include adding a movement<br />

at full speed, perpendicular or parallel to current direction at each time<br />

step; testing full speed movement relative to whatever cues may exist (e.g.<br />

toward the recruitment location); etc. If these tests lead to the conclusion<br />

that oriented swimming could make a large difference (which it will<br />

in most cases), then information on orientation is needed. Please see<br />

section on orientation below.<br />

1.4.4 How to get the relevant data?<br />

Many measures of<br />

swimming speed . . .<br />

. . . not all are<br />

appropriate<br />

Information on horizontal swimming is becoming more widely available,<br />

but most of it concerns tropical species. In addition, several methods<br />

have been used to estimate swimming speeds of fish larvae (and recently<br />

reviewed 25 ). These are (from high to low): burst speed, which measures<br />

the speed at which larvae flee in response to a stimulus; critical speed<br />

(U crit), which measures the speed of a flow against which larvae can<br />

maintain their position in swimming channels 88 ; maximum sustainable<br />

swimming speed, which measures the speed that can be maintained in a<br />

swimming channel over 24 hours 89 ; in situ speed, in which scuba-divers<br />

follow larvae in the sea and measure their speed 90 ; and routine speed,<br />

which measures swimming speeds of undisturbed larvae in laboratory<br />

containers 91 . These techniques do not actually measure the same thing<br />

and the speed estimates they provide differ. Therefore they are not<br />

equally suitable for use in dispersal models and care must be taken to<br />

ensure that the type of swimming speed measure is adequate to the<br />

purpose.<br />

Routine speed has the advantage of being a measure of swimming<br />

speed undisturbed by divers or any overt forcing by the investigator,<br />

but it carries the disadvantage of being measured in artificial laboratory<br />

conditions. In situ speed has the clear advantage of being measured<br />

in the sea, but with the unknown influence of the observing divers.<br />

U crit is most relevant for comparisons of relative performance, but it is<br />

not a performance measure that can be directly included in dispersal<br />

models as it is almost certainly faster than larvae actually swim in the

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