Evaluating mortality using length-frequency data when growth parameters are poorly known

Evaluating mortality using length-frequency data when growth parameters are poorly known
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Gobert, B. (1997). Evaluating mortality using length-frequency data when growth parameters are poorly known. NAGA 20 (3/4): 46-51
A method is presented through which the total mortality undergone by several fish stocks of the same species can be compared when growth parameters are poorly known or unknown. Whereas the estimate of Z obtained via the length-converted catch curve is highly sensitive to the input parameters K and L sub( infinity ), the ratio of Z estimates obtained for different stocks with the same combination of parameters is almost independent of these inputs, at least when the fit of the linear regression is good. The method is tested on simulated data and an application is presented using real data from the Lesser Antilles. It provides the possibility of qualitatively comparing several stocks in situations of scarce biological knowledge.
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