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dc.contributor.authorAldrin, Magne
dc.contributor.authorMortensen, Bjørnar
dc.contributor.authorStorvik, Geir
dc.contributor.authorNedreaas, Kjell Harald
dc.contributor.authorAglen, Asgeir
dc.contributor.authorAanes, Sondre
dc.date.accessioned2011-12-27T12:57:21Z
dc.date.issued2011-11-20
dc.identifier.issn1054-3139
dc.identifier.urihttp://hdl.handle.net/11250/108394
dc.description.abstractWhen the bycatch of juvenile fish within the Barents Sea shrimp fishery is too large, the area is closed to fishing for a certain period. Bycatch is estimated from sampled trawl hauls, for which the shrimp yield is recorded, along with the total number of various bycatch fish species. At present, bycatch estimation is based on a simple estimator, the sum of the number of fish caught within the area of interest within a small time window, divided by the corresponding shrimp yield (in weight). No historical data are used. A model-based estimation is proposed in which spatio-temporal models are constructed for the variation in both the yield of shrimp and the amount of bycatch in space and time. The main effects are described through generalized additive models, and local dependence structures are specified through correlated random effects. Model estimation includes historical and recent data. Experiments with both simulated and real data show that the model-based estimator outperforms the present simple estimator when a low or moderate number of samples (e.g. <20) is available, whereas the two estimators are equally good when the number of samples is high.no_NO
dc.language.isoengno_NO
dc.publisherOxford University Pressno_NO
dc.subjectbycatchno_NO
dc.subjectbifangstno_NO
dc.subjectshrimp trawlno_NO
dc.subjectreketrålno_NO
dc.titleImproving management decisions by predicting fish bycatch in the Barents Sea shrimp fisheryno_NO
dc.typeJournal articleno_NO
dc.typePeer reviewedno_NO
dc.subject.nsiVDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Catch: 925no_NO
dc.description.embargo10000-01-01
dc.source.pagenumber64-74no_NO
dc.source.volume69no_NO
dc.source.journalICES Journal of Marine Scienceno_NO
dc.source.issue1no_NO
dc.identifier.doihttp://dx.doi.org/10.1093/icesjms/fsr172


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