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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<strong>Growth</strong> <strong>model</strong>s<br />
General introduction<br />
The previous section on <strong>the</strong> biology <strong>of</strong> P. lividus was brief because we<br />
do not need much information to <strong>model</strong> growth. Indeed, when <strong>model</strong>ling<br />
growth, <strong>the</strong> animal is mainly regarded as a black box. We care about its<br />
global change through time, but we do not have to detail all <strong>the</strong> complex<br />
biochemical and physiological processes (feeding, digestion, assimilation,<br />
respiration, excretion, etc…) or anatomical modifications that lead to such<br />
changes. On <strong>the</strong> o<strong>the</strong>r hand, a good understanding <strong>of</strong> <strong>the</strong> various growth<br />
curves and <strong>the</strong>ir respective shapes and properties is required. This section<br />
is thus dedicated to a "portrait gallery" <strong>of</strong> all growth <strong>model</strong>s that have been<br />
used for <strong>sea</strong> <strong>urchin</strong>s.<br />
There are two types <strong>of</strong> growth <strong>model</strong>s in biology: population and<br />
individual. Population <strong>model</strong>s describe <strong>the</strong> change in <strong>the</strong> number <strong>of</strong><br />
individuals through time. A typical population growth <strong>model</strong> is <strong>the</strong> logistic<br />
curve (Verhulst, 1838). Ano<strong>the</strong>r <strong>model</strong> <strong>of</strong>ten used to describe decreasing<br />
number <strong>of</strong> individuals, i.e., mortality, is <strong>the</strong> Weibull function (Weibull,<br />
1951).<br />
Individual growth <strong>model</strong>s represent changes in <strong>the</strong> size <strong>of</strong> a single<br />
individual with time. A typical individual growth <strong>model</strong> is <strong>the</strong> von<br />
Bertalanffy curve (von Bertalanffy, 1938, 1957). Although we will deal<br />
exclusively with individual growth in this work, population growth <strong>model</strong>s<br />
are also <strong>of</strong>ten used to <strong>model</strong> individuals, particularly Gompertz or logistic<br />
curves (for examples that used <strong>the</strong>m for <strong>sea</strong> <strong>urchin</strong>s, see Gage et al, 1986;<br />
Gage, 1987; Ebert, 1999) and we will do so as well.<br />
a. The exponential curve, a simple Malthusian growth <strong>model</strong><br />
In 1798, Thomas Malthus described a ma<strong>the</strong>matical <strong>model</strong> for growth<br />
<strong>of</strong> human populations. According to Murray (1993), this <strong>model</strong> was<br />
previously suggested by Euler. Today this <strong>model</strong> is not used much,<br />
however its historical significance should not be overlooked. It is <strong>the</strong> first<br />
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