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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ecapture, McDonald & Pitcher, 1979; Baker et al, 1991; Francis, 1995;<br />
Ebert 1999) to confirm it.<br />
An interesting potential <strong>of</strong> this <strong>model</strong>, thanks to variations in <strong>the</strong><br />
relations between l and τ, is <strong>the</strong> possibility <strong>of</strong> predicting growth <strong>of</strong> <strong>the</strong><br />
remaining fraction after elimination <strong>of</strong> largest animals (fisheries or<br />
harvesting <strong>of</strong> largest fraction in aquaculture). Virtual individuals just<br />
below minimum harvesting size suddenly become <strong>the</strong> largest fraction and<br />
will exhibit a very rapid catch up growth to reach <strong>the</strong> maximum growth<br />
speed curve (as evidenced by Grosjean et al, 1996, see Part III). This goes<br />
far beyond <strong>the</strong> scope <strong>of</strong> this paper.<br />
Relations with o<strong>the</strong>r growth <strong>model</strong>s<br />
Several authors have formulated general growth <strong>model</strong>s, <strong>of</strong> which<br />
many o<strong>the</strong>r <strong>model</strong>s are just particular instances. Richards' <strong>model</strong><br />
D = a·(1 – e -b·(t – c) ) d is an extension <strong>of</strong> a von Bertalanffy 1 to a von<br />
Bertalanffy 2 <strong>model</strong> with a variable exponent as an additional parameter d<br />
(Richards, 1959; Ebert, 1980a). Depending on <strong>the</strong> value <strong>of</strong> d, it reduces to<br />
one <strong>of</strong> <strong>the</strong> two von Bertalanffy's <strong>model</strong>s (d = 1 or d = 3), to a logistic (d = -<br />
1), or to a Gompertz curve (|d| → ∞) (Ebert 1999). Schnute (1981), from a<br />
formulation <strong>of</strong> <strong>the</strong> derivative <strong>of</strong> growth rate with time, developed a<br />
sophisticate <strong>model</strong> that contains most o<strong>the</strong>r ones, and also some<br />
unexplored functions. These studies are most useful to show relations<br />
between <strong>model</strong>s that are sometimes hidden by different parameterizations.<br />
For instance, it is hard to tell which is <strong>the</strong> relation between <strong>the</strong> Gompertz<br />
(1825) curve and o<strong>the</strong>r <strong>model</strong>s in Table 12 just by looking at <strong>the</strong>ir<br />
equations.<br />
Starting from von Bertalanffy 1 as <strong>the</strong> simplest asymptotic growth<br />
<strong>model</strong> with no inflexion point, one possible contrasting classification <strong>of</strong><br />
derived <strong>model</strong>s is 'dimensional' versus 'transitional'. A typical<br />
'dimensional' <strong>model</strong> is Richards'. Parameter d is an exponent that changes<br />
<strong>the</strong> dimension <strong>of</strong> <strong>the</strong> value returned by <strong>the</strong> function. Hence, with d = 1, we<br />
Part IV: A growth <strong>model</strong> with intraspecific competition<br />
172