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Growth model of the reared sea urchin Paracentrotus ... - SciViews

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General introduction<br />

<strong>model</strong> 1 for Echinus affinis Mortensen or by Dafni (1992) that proposed<br />

<strong>the</strong> Johnson <strong>model</strong> to fit rapid growth with a very small initial lag phase <strong>of</strong><br />

<strong>the</strong> Toxopneustidae Tripneustes gratilla at Elat.<br />

Based on this review (Table 1), it seems <strong>the</strong>re is no ideal <strong>model</strong> to fit<br />

growth data in <strong>sea</strong> <strong>urchin</strong>s and, consequently, <strong>the</strong> use <strong>of</strong> one particular<br />

<strong>model</strong> is more a question <strong>of</strong> personal preference. For instance, Ebert uses<br />

<strong>the</strong> Richards <strong>model</strong> most <strong>of</strong> <strong>the</strong> time (Ebert, 1973, 1980a, 1982, 1999),<br />

while Gage favors <strong>the</strong> Gompertz <strong>model</strong> (Gage & Tyler, 1985; Gage et al,<br />

1986; Gage, 1987). This situation is problematic since parameters derived<br />

from <strong>the</strong>se <strong>model</strong>s –and o<strong>the</strong>rs– are not comparables. Using a single <strong>model</strong><br />

to fit all growth data would be preferable for comparison purposes (Turon<br />

et al, 1995).<br />

b. Fitting <strong>of</strong> growth <strong>model</strong>s on real data for echinoids<br />

In selecting a growth <strong>model</strong>, several conditions should be met when<br />

fitting real data. First, animals sampled from a single homogeneous<br />

population should be measured at various ages. Second, one particular<br />

individual should be measured only once to ensure independence <strong>of</strong> <strong>the</strong><br />

errors (since authors consider individual variation as part <strong>of</strong> <strong>the</strong> error term:<br />

<strong>the</strong>y look for growth <strong>of</strong> a virtual "mean individual" among <strong>the</strong> population).<br />

Third, as most regression methods assume no error on <strong>the</strong> dependent<br />

variable –that is, time– (Sokal & Rohlf, 1981; Sen & Srivastava, 1990;<br />

Draper & Smith, 1998; Zar, 1999), <strong>the</strong> age <strong>of</strong> each measured individual<br />

should be known. Fourth, no interaction should exist between individuals<br />

in <strong>the</strong> population. Such ideal conditions are so restrictive that <strong>the</strong>y are<br />

never met.<br />

When <strong>the</strong> age <strong>of</strong> individuals can be determined precisely, such as for<br />

<strong>sea</strong> <strong>urchin</strong>s <strong>reared</strong> from <strong>the</strong> egg, it is common to measure <strong>the</strong> same<br />

specimens several times (Bull, 1938; Michel, 1984; Cellario & Fenaux,<br />

1990; Basuyaux & Blin, 1998; Lamare & Mladenov, 2000). Errors are<br />

individual-dependent in such cases and this interaction is <strong>of</strong>ten ignored.<br />

56

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