Growth model of the reared sea urchin Paracentrotus ... - SciViews
Growth model of the reared sea urchin Paracentrotus ... - SciViews
Growth model of the reared sea urchin Paracentrotus ... - SciViews
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General conclusions<br />
GENERAL CONCLUSIONS<br />
By focusing on variability and interactions in individual growth <strong>of</strong> <strong>the</strong><br />
<strong>reared</strong> <strong>sea</strong> <strong>urchin</strong> <strong>Paracentrotus</strong> lividus, we raised questions on <strong>the</strong><br />
adequacy <strong>of</strong> existing <strong>model</strong>s and methods. To resolve <strong>the</strong>se problems we<br />
developed a new growth <strong>model</strong> with incorporating interspecific<br />
competition by defuzzifying a fuzzy <strong>model</strong> and a quantile regression<br />
method was adapted to account for individual variability (envelope<br />
<strong>model</strong>ling). The <strong>model</strong> appears to be an appropriate functional description<br />
<strong>of</strong> <strong>the</strong> process, as it is in agreement with all experimental results. It allows<br />
quantifying <strong>the</strong> degree <strong>of</strong> growth inhibition in <strong>the</strong> P. lividus echinoids in<br />
cultivation.<br />
Similarly, one should question <strong>the</strong> validity <strong>of</strong> growth <strong>model</strong>s, <strong>of</strong> fitting<br />
methods and <strong>of</strong> calculation <strong>of</strong> size at age (growth ring analysis, sizefrequency<br />
data analysis, mark and recapture) in all studies on ei<strong>the</strong>r <strong>reared</strong><br />
or wild echinoids. Yet, if <strong>the</strong>re is some interaction between individuals or<br />
if individual variability is large (as both can be suspected in most if not all<br />
cases), all <strong>the</strong>se methods could lead to biased estimations <strong>of</strong> growth and,<br />
consequently, to erroneous inferences about population dynamics.<br />
Adequate tools remain to be developed for field data where age is not<br />
measurable without error. A modification <strong>of</strong> <strong>the</strong> new <strong>model</strong> for relative<br />
growth rate data would be a logical starting point.<br />
The new <strong>model</strong> clearly has application both in <strong>sea</strong> <strong>urchin</strong> aquaculture<br />
and in fisheries management. Indeed, <strong>the</strong> experiment with mixed Ff and Fg<br />
batches (see Part III, p. 130) indicated a great growth potential <strong>of</strong> smaller,<br />
inhibited individuals in a heterogeneous population. Yield per surface unit<br />
should improve in cultivation when using mixed batches because <strong>the</strong>y are<br />
almost as productive as small plus large batches <strong>reared</strong> separately and thus,<br />
on <strong>the</strong> double <strong>of</strong> <strong>the</strong> surface. If <strong>the</strong> mechanism <strong>of</strong> inhibition/catch up<br />
growth also occurs in <strong>the</strong> field, a bimodal size distribution could be <strong>the</strong><br />
most efficient configuration to maintain a wild population <strong>of</strong> <strong>sea</strong> <strong>urchin</strong>s.<br />
When <strong>the</strong> largest fraction <strong>of</strong> <strong>the</strong> population is harvested, some mid-sized<br />
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