Tracking adult North Atlantic bluefin tuna ( Thunnus thynnus ) in the northwestern Atlantic using ultrasonic telemetry

Lutcavage, Molly E.; Brill, Richard W.; Skomal, Gregory B.; Chase, Bradford C.; Goldstein, Jennifer; Tutein, J.

doi:10.1007/s002270000302

Cited by 103 publications

(92 citation statements)

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“…The association of top predators with coastal or permanent geostrophic fronts has also been documented by Laurs et al (1984), Fiedler & Bernard (1987), and Santos (1994). Inagake et al (2001) and Lutcavage et al (2000) described qualitatively such an association for the Pacific and the Western Atlantic bluefin, respectively. Several hypotheses were proposed to explain such association, among them the use of fronts as preferred foraging areas, the benefits of sharper temperature gradients for thermal regulation, or a loose association with trapped floating material as meeting points or navigation cues.…”

Section: Potential Benefits Of Association Between Tuna and Ocean Frontsmentioning

confidence: 89%

“…Surveys were carried out between 2000 and 2002 in an attempt to derive an abundance index for juvenile bluefin tuna (Fromentin 2002). This technique appeared appropriate since BFT spend most of their time in the top 10 m of the sea (Lutcavage et al 2000). Aerial spotting has regularly been carried out since 1993 along the Southern Australian coasts on juveniles of Southern bluefin tuna (Cowling & O'Reilly 1999) and has been also tested on large Atlantic bluefin tuna in the West Atlantic (Lutcavage & Kraus 1995).…”

Section: Datamentioning

confidence: 99%

“…The resulting intensity surface can be interpreted as a potential 'search area'. Ultrasonic telemetry applied to juvenile BFT and archival tags on adult BFT provided several records of swimming speeds (Lutcavage et al 2000, Brill et al 2002. According to these records, the average speed is about 6 km h -1 , yielding a diffusion coefficient of 18 km 2 h -1…”

Section: Seawifs Data L1-l2 Processingmentioning

confidence: 99%

“…For instance, surface fronts recently appeared to play a key role in the feeding, growth and physiology of large pelagic fishes (e.g. Dagorn et al 2000, Lutcavage et al 2000. However, this type of investigation remains rare because of a lack of adequate and precise data on the spatial distribution of fishes together with coincident oceanographic measurements (Laurs et al 1984), as well as of information in the vertical dimension (remote-sensing being mainly limited to 2D; see e.g.…”

Section: Introductionmentioning

confidence: 99%

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Association between bluefin tuna schools and oceanic features in the western Mediterranean

Royer¹,

Fromentin²,

Gaspar³

2004

Mar. Ecol. Prog. Ser.

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We present an analysis of the distribution of bluefin tuna Thunnus thynnus schools spotted during aerial surveys in the Gulf of Lions, in relation to oceanographic features. Bio-optical and thermal properties of the sea surface derived from high-resolution sensors (AVHRR and SeaWiFS) were studied on a daily basis, and an edge-detection technique was applied to detect frontal zones. Geostatistics and point-process analyses were used to evaluate the role of the environment in structuring the spatial pattern of bluefin tuna (BFT). The distribution of schools spotted was strongly nonstationary both in space and time; this is believed to be an effect of the survey design (transect sampling) and the influence of transient oceanographic structures (surface fronts and eddies). The empirical variograms indicated a spatial range of the BFT schools at around 40 km, with substantial daily variability. Ripley's K statistic, as well as autocorrelation plots, revealed that the fish schools were clustered over a wider range of scales (from 10 to 80 km), indicating more spatial structure than would be expected from a random process. Finally, BFT school distributions appeared well determined by the oceanic features, except at very small scales (<10 km), where over-aggregation occurred, and at the largest scales of our study (> 40 km), where over-spreading was detected. Dynamical ecological processes, such as foraging, are likely to induce this complex spatial pattern. Possible reasons for the association of tuna with fronts are presented.

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Section: Potential Benefits Of Association Between Tuna and Ocean Frontsmentioning

confidence: 89%

Section: Datamentioning

confidence: 99%

Section: Seawifs Data L1-l2 Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Association between bluefin tuna schools and oceanic features in the western Mediterranean

Royer¹,

Fromentin²,

Gaspar³

2004

Mar. Ecol. Prog. Ser.

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“…The transmitted data are then received by a hydrophone secured to a vessel that must closely follow the animal. Dependent on conditions, these tags can transmit signals from an animal to a hydrophone up to 1 nautical mile away [6]. The transmitted data, e.g.…”

Section: Active Trackingmentioning

confidence: 99%

Marine animals: the next generation of autonomous underwater vehicle?

Thys

Hobson²,

Dewar

MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295)

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Abstract-Advances in animal tag technologies now offer a significant method for gathering oceanographic information throughout the world's oceans. By employing marine organisms as oceanic samplers (MOOS), vast amounts of in situ data (e.g. temperature, productivity and salinity in relation to depth and location) can be archived and transmitted via satellite or obtained directly from the tag if the tag is recovered. The beauty of this technique is that no on-board navigation system nor external propulsion supply is required. The animal performs the work necessary to transport the equipment and chooses what transect to run. The gathered data, guided by the animal's point of view, reveal secrets of the animal's life and pinpoint environmental features most important to its lifestyle. Depending on the species tagged, the animal may perform a number of tasks of great interest to oceanographers e.g. gathering data from remote regions like the poles, performing repeated deep dives, targeting specific food sources or oceanographic features and traversing massive expanses of ocean. The breadth of animal species with which this technology has been successfully deployed is growing steadily. The list includes bluefin and yellowfin tuna, white sharks, thresher sharks, whale sharks, ocean sunfish, marine turtles, seals, sea lions, and seabirds. It is hoped that the wealth of tag data already being collected worldwide can serve both the needs of the biologic and oceanographic communities alike.

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Ecology of Juvenile and Adult Stages of Flatfishes: Distribution and Dynamics of Habitat Associations

Able¹,

Neuman²,

Wennhage³

2005

Flatfishes

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Tracking adult North Atlantic bluefin tuna ( Thunnus thynnus ) in the northwestern Atlantic using ultrasonic telemetry

Cited by 103 publications

References 0 publications

Association between bluefin tuna schools and oceanic features in the western Mediterranean

Association between bluefin tuna schools and oceanic features in the western Mediterranean

Marine animals: the next generation of autonomous underwater vehicle?

Ecology of Juvenile and Adult Stages of Flatfishes: Distribution and Dynamics of Habitat Associations

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