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A Bayesian age-structured stock assessment model is developed to take into account available information on discards and to handlegaps in the time-series of discard estimates. The model incorporates mortality attributable to discarding, and appropriate assumptionsabout how this mortality may change over time are made. The result is a stock assessment that accounts for information on discardswhile, at the same time, producing a complete time-series of discard estimates. The method is applied to the hake stock in ICESDivisions VIIIc and IXa, for which the available data indicate that some 60% of the individuals caught are discarded. The stock isfished by Spain and Portugal, and for each country, there are discard estimates for recent years only. Moreover, the years forwhich Portuguese estimates are available are only a subset of those with Spanish estimates. Two runs of the model are performed;one assuming zero discards and another incorporating discards. When discards are incorporated, estimated recruitment andfishing mortality for young (discarded) ages increase, resulting in lower values of the biological reference pointsFmaxandF0.1and,generally, more optimistic future stock trajectories underF-reduction scenarios.Publicado

Stock assessment and projections incorporating discard estimates in some years: an application to the hake stock in ICES Divisions VIIIc and IXa