Improving management decisions by predicting fish bycatch in the Barents Sea shrimp fishery

• Published in: ICES Journal of Marine Science
• Main Authors: Aldrin, Magne, Mortensen, Bjørnar, Storvik, Geir, Nedreaas, Kjell, Aglen, Asgeir, Aanes, Sondre
• Format: Article in Journal/Newspaper
• Language: English
• Published: Oxford University Press (OUP) 2011
• Subjects: Ecology; Aquatic Science; Ecology, Evolution, Behavior and Systematics; Oceanography; Barents Sea; Aglen; Storvik
• Online Access: http://dx.doi.org/10.1093/icesjms/fsr172; http://academic.oup.com/icesjms/article-pdf/69/1/64/29141028/fsr172.pdf

Abstract Aldrin, M., Mortensen, B., Storvik, G., Nedreaas, K., Aglen, A., and Aanes, S. 2012. Improving management decisions by predicting fish bycatch in the Barents Sea shrimp fishery. – ICES Journal of Marine Science, 69: 64–74. When 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.