Navegando por Assunto "Southwestern Atlantic Ocean"
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Item Captura incidental de tortugas marinas por las flotas de palangre pelágico de Brasil y Uruguay (1998 - 2010)(2014) GIFFONI, B.; LEITE JR, N.; MILLER, P.; PONS, M.; SALES, G.; DOMINGO, A.Sea turtles are highly migratory species and during their long life cycle they are face to different threats. One of the biggest threat is the incidental captures by fisheries, thus longline fishery has been pointed out as great concern due to the high captures rates. This work summarize the incidental capture of sea turtles by Brazilian and Uruguayan longline fleet, taking account different aspects to be considered in sea turtles productivity and susceptibility analyses - PSA. The data analyzed were collected by observers of the Programa Nacional de Observadores a Bordo de la Flota Atunera Uruguaya (PNOFA) from Uruguay, and Programa Nacional de Observadores de Bordo da Frota Pesqueira do Brasil (PROBORDO), Fundação Pró-TAMAR, Instituto ALBATROZ and Núcleo de Educação e Monitoramento Ambiental (NEMA) from Brazil. On total 25.164.089 hooks were sampled by Brazil and Uruguay between 2008 and 2010. On average, the sampled effort represented 1,5% of total effort applied at the same area by ICCAT CPCs. Loggerhead was the specie most captured (n =6.594), followed by Leatherback (n = 1.379) and Olive ridley (n = 600). All specie nest in Brazil. Regarding to productivity aspects, the Brazilian population of loggerhead, leatherback and olive ridley are increasing. For the Susceptibility analyses and considering availability, 7 different RMUs are being impacted by longline. Related to encounterability, the 3 turtle species spent the most time at the same depth range as Brazilian and Uruguayan longline toward to catch swordfish. For selectivity, juveniles of the loggerhead turtle are the most captured, while for olive ridley and leatherback, sub-adult and adult have been most captured by longline fleet of both countries.Item CAPTURA INCIDENTAL DE TORTUGAS MARINAS POR LAS FLOTAS DE PALANGRE PELÁGICO DE BRASIL Y URUGUAY (1998 - 2010)(2014) GIFFONI, Bruno; LEITE JUNIOR, Nilamon; MILLER, Philip; PONS, Maite; SALES, Gilberto; DOMINGO, AndrésSea turtles are highly migratory species and during their long life cycle they face different threats. One of the biggest threats is the incidental captures by fisheries, thus longline fisheries has been pointed out as a great concern due to the high capture rates. This work summarizes the incidental capture of sea turtles by Brazilian and Uruguayan longline fleet, taking account different aspects to be considered in sea turtles productivity and susceptibility analyses - PSA. The data analyzed were collected by observers of the Programa Nacional de Observadores a Bordo de la Flota Atunera Uruguaya (PNOFA) from Uruguay, and the Programa Nacional de Observadores de Bordo da Frota Pesqueira do Brasil (PROBORDO), Fundação Pró-TAMAR, Instituto ALBATROZ and Núcleo de Educação e Monitoramento Ambiental (NEMA) from Brazil. A total of 25,164.089 hooks were sampled by Brazil and Uruguay between 2008 and 2010. On average, the sampled effort represented 1,5% of total effort applied at the same area by ICCAT CPCs. Loggerhead was the species most captured (n = 6.594), followed by Leatherback (n = 1.379) and Olive ridley (n = 600). All species nest in Brazil. Regarding productivity aspects, the Brazilian population of loggerhead, leatherback and Olive ridley are increasing. For the susceptibility analyses and considering availability, seven different RMUs are being impacted by longline. As regards encounterability, the three turtle species spent most of the time at the same depth range as Brazilian and Uruguayan longline toward to catch swordfish. For selectivity, juveniles of the loggerhead turtle are the most captured, while for Olive ridley and leatherback, sub-adult and adult have been most captured by longline fleet for both countries.- NOT JUST ANOTHER MIXED STOCK ANALYSIS: GREEN TURTLES OF ESPIRITO SANTO, BRAZIL(2010-01-30) MACIEL N., Eugenia Naro; MARTIN, Meredith; BONDIOLI V., Ana Cristina; ALMEIDA P., Antônio; TOREZANI, Evelise; BAPTISTOTTE, Cecília; MARCOVALDI, Maria Ângela; AMATO, George; DESALLE, Robn the Southwestern Atlantic Ocean, sea turtles are exposed to myriad threats including disease, fisheries bycatch, and industrial or coastal development, but protected by effective conservation organizations. In Espírito Santo, Brazil, green turtles (Chelonia mydas) with relatively high incidence of fibropapillomatosis tumors routinely strand in the vicinity of the state capital, Vitória, a highly urbanized area that encompasses the effluent discharge channel of a local steel plant. This is also a particularly interesting population because of its relative proximity to the regionally important Trindade Island rookery, whose feeding grounds have not been convincingly identified to date. To investigate the population distribution of the at-risk turtles, we sequenced a segment of the mitochondrial control region (862 bp; n = 132). Eight mtDNA haplotypes were revealed, of which the most common were CMA-08 and CMA-05. Haplotypes CMA-06 and CMA-09 were each found in six individuals, and rare haplotypes CMA-03, CMA-10, CMA-23, and CMA-32 were also detected. Two kinds of “many-to-many” mixed stock analyses were carried out, taking into account or alternately disregarding source nesting population size. The same approach was taken with traditional MSAs (“one-to-many”), and the main differences between the "one-to-many" and "many-to-many" results are reported. The analyses that included population size and all available data were most consistent with expectations. We recommend caution when employing different mixed stock analysis methods, and emphasize the importance of exploring alternate ways of investigating the origins of mixed stocks, including modeling approaches. These data will provide insight into population isolation and conservation priorities necessary to establish whether areas should be managed as independent units or as regional populations, and will clarify questions of scale in conservation and management, providing a scientific basis for conservation prioritization.