Abstract

Tuna fisheries catch over three million tonnes of skipjack tuna (Katsuwonus pelamis) each year, the majority of which come from purse-seine vessels targeting fish associated with man-made fish aggregating devices (FADs). A significant challenge for fisheries management is to maximize the efficiency of skipjack tuna catches whilst minimizing the bycatch of small and immature bigeye (Thunnus obesus) and yellowfin (T. albacares) tuna, for which long-term sustainability is uncertain in 75% of the world’s stocks. To better manage the issues common with this fishing method, an improved understanding of tuna behaviour around FADs is necessary. We probabilistically classified the vertical behavioural patterns of 50 bigeye and 35 yellowfin tuna (mean fork length 72cm and 70cm, respectively) electronically tagged throughout the western and central Pacific Ocean into shallow and deep states, using a state-space modelling approach. The occurrence of surface-association behaviours, defined as an individual remaining in a shallow state for 24-hours, was examined in relation to known capture events and FAD density. In general, surface-association events for both species were short and lasted on average less than three days, although events as long as 28 days were observed, and were more common in yellowfin when in archipelagic waters. Events were longest immediately following tagging in 62% and 17% of bigeye and yellowfin, respectively. Surface-association behaviour was not generally estimated just prior to recapture, being either non-existent or shorter than two days for 85% of bigeye and 74% of yellowfin. Current management measures in purse-seine tuna fisheries involve periodic or spatial closures for FAD use. If the chief benefit to purse-seine fishers of surface-association around floating objects is in locating schools in horizontal space at short-term time-scales, rather than holding fish near the surface for extended periods, controlling the number of sets made on FADs should be explored further as an additional management tool.

Highlights

  • Industrial purse-seine fisheries for tuna are some of the largest globally [1], and purse-seine catches of tuna associated with floating objects in the Western and Central Pacific Ocean (WCPO) are the world’s highest [2]

  • Sets on floating objects often result in significant catches of this species, and of small juvenile bigeye (Thunnus obesus, Scombridae) and yellowfin (T. albacares, Scombridae) tuna across an interquartile size range (IQR) of 49-69cm and 47-73cm fork length (FL), respectively (Fig 1), as aggregations of species around fish aggregation devices (FADs) are typically mixed in nature [2,9,10,11]

  • We examine the vertical behaviour of bigeye and yellowfin tuna using a statespace modelling approach to depth and water temperature data collected by electronic archival tags deployed in fish throughout the WCPO

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Summary

Introduction

Industrial purse-seine fisheries for tuna are some of the largest globally [1], and purse-seine catches of tuna associated with floating objects in the Western and Central Pacific Ocean (WCPO) are the world’s highest [2]. There is a need for the development of effective management measures that will reduce the fishing impact on juvenile bigeye and yellowfin stocks whilst maintaining maximum viability in purse seine fleets targeting skipjack. In the Pacific Ocean, periodic and regional closures of purse-seine fisheries [13,14] have been implemented to limit potential recruitment overfishing caused by catches of small bigeye tuna. Despite these measures, effort associated with FADs continues to increase [15,16,17]

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