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dc.creatorGobert, B.
dc.date.accessioned2019-02-12T01:42:23Z
dc.date.available2019-02-12T01:42:23Z
dc.date.issued1997
dc.identifierna_2265.pdf
dc.identifier.citationNAGA 20 (3/4): 46-51
dc.identifier.urihttps://hdl.handle.net/20.500.12348/2627
dc.description.abstractA 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.
dc.formatapplication/pdf
dc.languageEn
dc.publisherICLARM
dc.rightsCC BY 4.0
dc.sourceNAGA
dc.titleEvaluating mortality using length-frequency data when growth parameters are poorly known
dc.typeJournal Article
dcterms.bibliographicCitationGobert, B. (1997). Evaluating mortality using length-frequency data when growth parameters are poorly known. NAGA 20 (3/4): 46-51
cg.coverage.countryLesser Antilles
cg.coverage.regionCaribbean
cg.identifier.worldfish2265
cg.subject.agrovocfish
cg.subject.agrovocmethodology
cg.subject.worldfishstocking
cg.contributor.affiliationPlouzane
cg.identifier.statusOpen access
cg.description.themeSustainable aquaculture


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