Dissertation - HQ
Dissertation - HQ
Dissertation - HQ
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
158 Oceanography vs. behaviour<br />
6.4.6 Discussion<br />
The difference between<br />
active vs. passive larvae<br />
may be milder but<br />
is probably real<br />
Low swimming<br />
speeds matter<br />
Early swimming may<br />
be more constrained . . .<br />
One important result of this study is the tremendous difference between<br />
active and passive trajectories, even with very low swimming speeds.<br />
The combined effect of downward movements to avoid surface advection<br />
and horizontal movements to move between water masses enhances<br />
self-recruitment in this model. The second important finding is that<br />
early swimming decisions, even though they would appear expensive<br />
energetically, seem to be key in determining the fate of larvae. As a<br />
consequence, conditions which enhance swimming abilities, in particular<br />
early on, (such as an increase in temperature) result in increased selfrecruitment<br />
rate for larvae displaying optimal strategies. Surprisingly,<br />
this is not accompanied by greater retention of larvae around recruitment<br />
areas, but by an increase in the distance roamed by particles from their<br />
release point.<br />
A nuance to the difference between passive and active trajectories is<br />
that the rough advection scheme we use here is probably not capturing<br />
the full potential for passive retention. With a finer time step, particles<br />
would follow streamlines more closely and may be retained more inside<br />
eddies for example. Similarly, the inclusion of diffusion would increase<br />
the probability to encounter a retentive area from any release point.<br />
Yet, both those effects would also be relevant for active trajectories. In<br />
addition, it is not likely that an increase in self-recruitment rate from<br />
0% to 95% could be achieved purely passively, only because of the<br />
inclusion of those two refinements. Therefore, the difference observed<br />
here strongly advocates for the inclusion of swimming in all early life<br />
history models of fish, or of other organisms whose swimming speeds<br />
may be as low as a few centimetres per second.<br />
Indeed, the environments considered here are not those where swimming<br />
would be expected to make a large difference: stratification is not<br />
particularly strong (no returning flow at depth, only a slow down) and<br />
current speeds are rather high (up to 60 cm s -1 at the surface). Nevertheless,<br />
mean swimming speeds of 2 cm s -1 are sufficient to completely<br />
shift the system from nearly no self-recruitment to return rates of 95%<br />
in the case of the Pomacentridae. Furthermore, the temperate larvae<br />
were very weak swimmers (maximum swimming speed of 5 cm s -1 at<br />
the end of the larval phase) and still achieved self-recruitment rates<br />
over 40%. Both results suggest that weakly swimming organisms could<br />
have an impact on their dispersal, provided that their swimming is<br />
oriented and exploits the heterogeneities in the current field.<br />
Early swimming may, however, be favoured intrinsically in this model.<br />
First, because no energy budget is explicitly represented, no recovery<br />
after swimming is allowed. As a consequence, strategies that result in<br />
as little swimming as possible during the whole larval life are favoured.<br />
This translated in much swimming early on at, or close to, the maximum<br />
speed, and less later in larval life, often at only a fraction of maximum<br />
speed. With recovery, it might have been better to space swimming