A Bayesian state-space mark-recapture model to estimate exploitation rates in mixed-stock fisheries

Catherine G. J Michielsens, Murdoch K McAllister, Sakari Kuikka, Tapani Pakarinen, Lars Karlsson, Atso Romakkaniemi, Ingemar Perä, Samu Mäntyniemi

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

Abstrakti

A Bayesian state-space mark-recapture model is developed to estimate the exploitation rates of fish stocks caught in mixed-stock fisheries. Expert knowledge and published results on biological parameters, reporting rates of tags and other key parameters, are incorporated into the mark-recapture analysis through elaborations in model structure and the use of informative prior probability distributions for model parameters. Information on related stocks is incorporated through the use of hierarchical structures and parameters that represent differences between the stock in question and related stocks. Fishing mortality rates are modelled using fishing effort data as covariates. A state-space formulation is adopted to account for uncertainties in system dynamics and the observation process. The methodology is applied to wild Atlantic salmon (Salmo salar) stocks from rivers located in the northeastern Baltic Sea that are exploited by a sequence of mixed- and single-stock fisheries. Estimated fishing mortality rates for wild salmon are influenced by prior knowledge about tag reporting rates and salmon biology and, to a limited extent, by prior assumptions about exploitation rates.
Alkuperäiskielienglanti
LehtiCanadian Journal of Fisheries and Aquatic Sciences
Vuosikerta63
Sivut321-334
Sivumäärä14
ISSN0706-652X
DOI - pysyväislinkit
TilaJulkaistu - 2006
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Siteeraa tätä