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Activity : Data-poor models
This activity aims to test and make available assessment methods adapted to data-poor situations. Three methods will be considered:
a) The application of VPA in the case of a low number of years of catch data available: the pseudo-cohort corrected analysis (Laurec and Santarelli-Chaurand, 1986). This method allows to take into account changes in fishing effort (non equilibrium conditions). It will also be used in complement of the activity Â“length/age conversionÂ” in order to test the sensitivity of diagnoses to growth parameters estimates.
b) The application of Â“Catch Survey AnalysisÂ” (Collie and Sissenwine, 1983; Mesnil, 2003) to catch, effort and recruitment time series. This model allows to include a priori recruitment variability in a situation where all catch at age are unknown.
c) The application of surplus production models both fitted with pseudo-equilibrium methods (Fox, 1975) and dynamic methods based on constraints or in a Bayesian context (linked with the Â“Environmental modelsÂ” activity). This application should allow to analyze the consistency and complementarity of the two approaches.
Case studies: Bobo, Hake, Sardinelle, Octopus
Coordinator: Didier Gascuel
Collie, J.S., Sissenwine,
M.P., 1983. Estimating population size from relative abundance data measured
W.W., 1975. Fitting the generalized stock production model by least-squares and
Laurec, A. and Santarelli-chaurand, L. 1986. Analyse rectifiĂ©e des pseudo-cohortes : Analyse des donnĂ©es des cohortes Ă partir d'une annĂ©e de structures dĂ©mographique des captures ; correction des variations d'effort et/ou de recrutement.: IFREMER, Rapport interne, RonĂ©o, 19pp.
Mesnil, B., 2003. The Catch-Survey Analysis (CSA) method of fish stock assessment: an evaluation using simulated data. Fisheries Research 63 (2), 193-212.
Persons involved in the case studies