Can the precision of bottom trawl indices be increased by using simultaneously collected acoustic data? The Barents Sea experience

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Abstract:

Acoustic data are recorded continuously during the winter survey for demersal fish in the Barents Sea. This paper presents a method for using the information from the acoustic recordings between trawl stations in an attempt to increase the precision of the trawl estimate. The method is related to the double-sampling regression estimation, in which information from a frequently sampled auxiliary variable (e.g., acoustics) that is correlated with the main variable (e.g., trawl) is used for the purpose of increasing the precision in the estimate of the population mean of the main variable. The version presented here allows for additional explanatory variables and for autocorrelation in the main and auxiliary variables. However, when applied to the Barents Sea data, only a minor variance reduction is obtained. The main reasons for this are a high autocorrelation in the acoustic data and a relatively low correlation between trawl and acoustics on trawl stations. Another unexpected result is that the acoustic density during trawling is significantly higher than between trawl stations.

Durant l’échantillonnage d’hiver des poissons démersaux de la mer de Barents, il se fait un enregistrement continu des données acoustiques. Notre travail présente une méthode pour utiliser les enregistrements acoustiques entre les stations de chalutage pour augmenter la précision des estimations obtenues par chalutage. La méthode est reliée à l’estimation par régression à double échantillonnage, dans laquelle l’information obtenue sur une variable auxiliaire fréquemment échantillonnée (par ex., les données acoustiques) qui est en corrélation avec la variable principale (par ex. les données de chalutage) sert à améliorer la précision de l’estimation de la moyenne de la population de la variable principale. La version que nous présentons permet l’insertion de variables explicatives additionnelles et l’existence d’autocorrélation dans les variables principale et auxiliaires. Cependant, son utilisation avec les données de la mer de Barents ne produit qu’une faible réduction de la variance. Les raisons principales en sont une forte auto corrélation dans les données acoustiques et une corrélation relativement faible entre les données acoustiques et celles de chalutage dans les stations de chalutage. Un autre résultat inattendu est que la densité acoustique durant le chalutage est significativement plus importante qu’entre les stations de chalutage.[Traduit par la Rédaction]

Document Type: Research Article

Publication date: October 1, 2007

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  • Published continuously since 1901 (under various titles), this monthly journal is the primary publishing vehicle for the multidisciplinary field of aquatic sciences. It publishes perspectives (syntheses, critiques, and re-evaluations), discussions (comments and replies), articles, and rapid communications, relating to current research on cells, organisms, populations, ecosystems, or processes that affect aquatic systems. The journal seeks to amplify, modify, question, or redirect accumulated knowledge in the field of fisheries and aquatic science. Occasional supplements are dedicated to single topics or to proceedings of international symposia.
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