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 introduction<br />
Russell, 1987; Rowley, 1990; Kenner, 1992; Ebert & Russell, 1992, 1993;<br />
Russell et al, 1998; Lamare & Mladenov, 2000). This way, <strong>sea</strong>sonal<br />
variation in growth is also partly eliminated. For <strong>sea</strong> <strong>urchin</strong>s, it is <strong>the</strong><br />
skeleton that is tagged using tetracycline (Kobayashi & Taki, 1969; Taki,<br />
1972). Size increase <strong>of</strong> <strong>the</strong> ossicles can <strong>the</strong>n be determined because a band<br />
<strong>of</strong> tetracycline-labeled skeleton, visible under ultraviolet light, indicates its<br />
size at tagging time. An allometric relationship between <strong>the</strong> size <strong>of</strong> <strong>the</strong><br />
given ossicles and <strong>the</strong> body size allow estimating <strong>the</strong> latter. To fit such<br />
data, growth <strong>model</strong>s need to be reworked, using a so-called Ford-Walford<br />
representation, or Walford plot (Ford, 1933; Walford, 1946; Ebert, 1999)<br />
where size at time t + 1 year (at recapture) is expressed as a function <strong>of</strong><br />
size at time t (at capture). Ebert (1999) reviewed such transformations for<br />
von Bertalanffy, Gompertz, logistic, Richards and Tanaka <strong>model</strong>s.<br />
Sainsbury (1980) demonstrated <strong>the</strong> strong biases that could occur with<br />
such a method when <strong>the</strong>re is individual variation in growth in a population.<br />
In fact, relative growth does not take <strong>the</strong> age into account, by definition.<br />
Hence, due to individual variations in growth rate, some fast-growing but<br />
young individuals have same size as slower-growing but older ones at a<br />
given time. The method mixes all animals having <strong>the</strong> same size, no matter<br />
<strong>the</strong>ir age, and calculates a mean growth rate at that size. This mixing <strong>of</strong><br />
age-cohorts is troublesome when growth variation is high in <strong>the</strong><br />
population. Rejection <strong>of</strong> a particular growth <strong>model</strong> could result from <strong>the</strong>se<br />
biases as Sainsbury evidenced, using a <strong>the</strong>oretical analysis with <strong>the</strong> von<br />
Bertalanffy 1 <strong>model</strong>. As individual variation in growth pattern is probable,<br />
one should be very careful using this method. Among all authors using<br />
tagged <strong>sea</strong> <strong>urchin</strong>s, Gage (1992) was <strong>the</strong> only one that cited Sainsbury's<br />
work and care about a possible bias due to individual variation in growth<br />
rate.<br />
Clearly, <strong>the</strong>re is no fool-pro<strong>of</strong> method for <strong>model</strong>ling individual growth<br />
<strong>of</strong> <strong>sea</strong> <strong>urchin</strong>s in <strong>the</strong> field. In such a context, one can rely on experiments<br />
conducted in aquaria, although it is evident that growth patterns observed<br />
in artificial conditions could be very different to what happens in <strong>the</strong> field.<br />
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