![]() In the Atlantic Ocean, bluefish populations are high and overfishing is not occurring.įor more information on bluefish, go to. This species is managed by the Mid-Atlantic Fishery Management Council and the Atlantic States Marine Fisheries Commission. Approximately 60 percent of bluefish are caught with hook and line, which has relatively low bycatch rates. As water temperatures rise, they will migrate northward.īluefish are important to both recreational and commercial fishermen. The return of Atlantic Bluefin Tuna to UK waters is welcome news, and it is important we get the data to properly understand this through a catch, tag. Small bluefish will move farther south during winter. During winter, large bluefish tend to remain in the mid-Atlantic region and then move south to North Carolina around March. The Bridgeport Bluefish were an American minor league baseball team based in Bridgeport, Connecticut. They migrate seasonally according to changes in water temperature. Bluefish are aggressive predators and feed on squid and fish, especially menhaden.īluefish can live as long as 12 years, reach up to 39 inches in length and weigh as much as 21 pounds. When I was a kid coming up in the waters off Lower Delaware, my first tangle with big fish was trolling for chopper bluefish. Un biais substantiel est attendu quand l’erreur de mesure au moment du lâcher de poissons marqués est grande, ce qui constitue une mise en garde contre l’intégration malavisée de différents types de données de croissance.Bluefish are characterized by a blue-green back with silvery sides and belly, a pointed snout and sharp, compressed teeth. Les résultats de simulation révèlent une plus grande probabilité de détection de signaux climatiques quand l’erreur de mesure globale est faible. La croissance projetée présente une augmentation au cours des dernières décennies dans un contexte de variabilité climatique par rapport à la moyenne historique. Les réactions de croissance relevées aux variations climatiques sont fortement non linéaires. ![]() Les résultats indiquent une réaction de croissance significative à une échelle intra-annuelle aux trois indices climatiques examinés. Une autre étude de simulation est menée pour examiner l’effet de l’échelle globale et de la distribution de l’erreur de mesure sur la probabilité de détection d’effets extrinsèques et l’estimation de paramètres de croissance. À la lumière d’une base de données de marquage–recapture pluridécennale, une étude de cas est présentée afin d’examiner la réaction de croissance potentielle du thon rouge de l’Atlantique ( Thunnus thynnus) à trois modes climatiques à grande échelle de pertinence régionale : soit l’oscillation nord-atlantique, l’oscillation arctique et le mode pacifique nord-américain. Dans un contexte de variabilité du climat, omettre de tenir compte de la variabilité de la croissance se traduit par des stratégies de gestion des pêches non optimales. La croissance somatique fait partie intégrante de la productivité des stocks de pêche. Substantial bias is expected when the measurement error at tag release is high, cautioning against careless integration of different types of growth data. Simulation results show a higher probability to detect climate signals when the overall measurement error is low. The projected growth shows increased growth in recent decades under climate variability with respect to the historical mean. Identified growth responses to climate variations are highly nonlinear. Results indicate significant growth response at an intra-annual scale to all three climate indices examined. An additional simulation study is conducted to explore the effect of the overall scale and the distribution of measurement error on the detection probability of extrinsic effects and the estimation of growth parameters. Based on a multidecadal tag–recapture database, a case study is presented to investigate the potential growth response of the Atlantic bluefin tuna ( Thunnus thynnus) to three regionally relevant large-scale climate patterns: the North Atlantic Oscillation, Arctic Oscillation, and Pacific North America pattern. Under climate variability, omitting growth variability renders fishery management strategies non-optimal. ![]() Somatic growth is integral to fishery stock productivity.
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