Taxa de captura para o bonito-listrado (Katsuwonus pelamis) do Sudoeste do Oceano Atlí¢ntico Sul
Palavras-chave:
GLM, CPUE, índice de abundí¢ncia, vara-e-isca-viva, CPUE padronizadaResumo
Taxas de captura podem ser usadas como índices de abundí¢ncia de populações exploradas comercialmente pela frota pesqueira. Entretanto as taxas devem refletir as variações temporais da biomassa e não devem estar contaminadas por fatores como as variações do coeficiente de capturabilidade. Neste trabalho, estimativas de taxas de captura para o bonito-listrado (Katsuwonus pelamis) no sudoeste do Oceano Atlí¢ntico Sul foram obtidas com o uso de modelos lineares generalizados. Foi utilizada uma função de densidade gama e uma função de ligação logarítmica para modelar a variável de interesse. Os coeficientes de variação das taxas de captura anuais foram de cerca de 0,15. As taxas estimadas não apresentaram tendências temporais importantes, portanto a biomassa da população provavelmente não mudou muito no decorrer dos últimos vinte anos
Referências
ALMEIDA, L. R. e ANDRADE, H. A. 2002 Comparação entre a eficiência de captura das frotas de vara-eisca-viva e de cerco na pescaria do bonito-listrado (Katsuwonus pelamis): análise preliminar. Notas Téc.FACIMAR, 6: 59-64.
ANDRADE, H. A. 2003 The relationship between skipjack tuna (Katsuwonus pelamis) fishery and seasonal temperature variability in the south-west Atlantic. Fish. Oceanogr. 12 (1): 1-9.
ANDRADE, H. A., e KINAS, P. G. 2004 Estimation of birthdates and catch-at-age using length frequency analysis (LFA), with application for skipjack tuna (Katsuwonus pelamis) caught in the Southwest Atlantic. ICES Journal of Marine Science, 61: 798-
811.
AKAIKE, H. 1974 A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723
CAMPBELL, R. 2004 CPUE standardization and the construction of indices of stock abundance in a spatially varying fishery using general linear models. Fish. Res. 70: 209-227.
CASTELLO, J. P. e HABIAGA, R. P. 1989 The skipjack tuna fishery in the southern Brazil. SCRS/88/27,ICCAT Coll. Vol. Sci. Pps., 30 (1): 6-19.
CLARK, C. W. 1985 Bioeconomic modelling and fisheries management. New York, John Wiley & Sons. 291p
DOBSON, A. J. 2002 An introduction to generalized linear models. 2nd Edition. Chapman & Hall/CRC. 225p.
FAO. 2007 FAO Fishery Information, Data and Statistics Unit (FIDI). c2002- . Luca Garibaldi. Fishery Statistical Collections. FIGIS Data Collection. FAO - Rome. Disponível em: http://www.fao.org/figis/servlet/static?dom=collection&xml= global-capture-production.xml Acesso em: 26 jan. 2007.
FONTENEAU, A. 2003 A comparative overview of skipjack fisheries and stocks worldwide. Proceedings of the 16th Meeting of the Standing Committee on Tuna and Billfish. SCTB/SPC. SCTB/SPC.23p.
GEP/UNIVALI. 2003 Boletim estatístico da pesca industrial de Santa Catarina í Ano 2002. 93 p.
HABIAGA, R. G. P.; CASTELLO, J. P.; VILELA, M. J. A.e PALUDO, M. L. B. 1986 Ocorrência do bonitolistrado (Katsuwonus pelamis) frente ao Rio Grande do Sul. Anais do 4°. Anais do Congresso Bras. de Eng. de Pesca, Curitiba, Brasil. p. 249-272.
HILBORN, R. e J SIBERT. 1986 Is international 1986 Is international management of tunas necessary? South Pac. Comm. News., 38: 31-40.
IATTC. 2003 Fishery Status Report í Tunas and Billfishes in the Eastern Pacific Ocean in 2002. 100p.
ICCAT. 2006a STATISTICAL BULLETIN. VOL. 35.165 p.
ICCAT. 2006b Base de dados da tarefa II (captura e esforço de pesca). Disponível em: http://www.iccat.es. Acesso em 20 de dezembro de 2006.
LANGLEY, A; HAMPTON, J. e WILLIAMS, P. 2004 The Western and Central Pacific Tuna Fishery: 2002 í Overview and Status of Stocks. Tuna Fisheries Assessment Report 5. Noumea, New Caledonia:Secretariat of the Pacific Community. 64p.
MAUNDER, M. 2003 Status of Skipjack Tuna in the Eastern Pacific Ocean in 2001 and Outlook for 2002.Bull. Inter-Amer. Trop. Tuna Comm. 52p.
MAUNDER, M. N. e PUNT, A. E. 2004 Standardizing Standardizing catch and effort data: a review of recent approaches. Fisheries Research, 70: 141-159.
McCULLAGH, P e NELDER, J. A. 1989 Generalized Linear Models. London, Chapman & Hall. 513p.
MENESES de LIMA, J. H.; LIN, C. F. e MENEZES, A.A. S. 2000a Preliminary results of standardized catch rates for skipjack tuna (Katsuwonus pelamis) from the Brazilian baitboat fishery trough 1998. Col. Vol. Sci. Pap. ICCAT, 51: 464-487.
MENESES de LIMA, J. H.; LIN, C. F. e MENEZES, A.A. S. 2000b A description of the baitboat fishery off the south and southeast Brazil. Col. Vol. Sci. Pps.ICCAT, 51: 416-463.
QUINN II, T. J.; HOAG, S. H.; SOUTHWARD, G. M. 1982 Comparison of two methods of combining catch-per-unit-effort from geographic regions. Can.J. Fish. Aquat. Sci. 39: 837-846.
R DEVELOPMENT CORE TEAM. 2005 R: A language and environment for statistical computing, reference index version 2.x.x. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3- ISBN 3-900051-07-0, URL. http://www.R-project.org.
UNIVALI-CTTMar. 2006 Boletim estatístico da pesca industrial de Santa Catarina - ano 2004. Universidade do Vale do Itajaí, Itajaí-SC. 64 p.
VIGNAUX, M. 1994 Catch per unit effort (CPUE)analysis of west coast South Island Cook Strait spawning hoki fisheries, 1987-93. NZ Fisheries Association Research Document No.94/11.
ANDRADE, H. A. 2003 The relationship between skipjack tuna (Katsuwonus pelamis) fishery and seasonal temperature variability in the south-west Atlantic. Fish. Oceanogr. 12 (1): 1-9.
ANDRADE, H. A., e KINAS, P. G. 2004 Estimation of birthdates and catch-at-age using length frequency analysis (LFA), with application for skipjack tuna (Katsuwonus pelamis) caught in the Southwest Atlantic. ICES Journal of Marine Science, 61: 798-
811.
AKAIKE, H. 1974 A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723
CAMPBELL, R. 2004 CPUE standardization and the construction of indices of stock abundance in a spatially varying fishery using general linear models. Fish. Res. 70: 209-227.
CASTELLO, J. P. e HABIAGA, R. P. 1989 The skipjack tuna fishery in the southern Brazil. SCRS/88/27,ICCAT Coll. Vol. Sci. Pps., 30 (1): 6-19.
CLARK, C. W. 1985 Bioeconomic modelling and fisheries management. New York, John Wiley & Sons. 291p
DOBSON, A. J. 2002 An introduction to generalized linear models. 2nd Edition. Chapman & Hall/CRC. 225p.
FAO. 2007 FAO Fishery Information, Data and Statistics Unit (FIDI). c2002- . Luca Garibaldi. Fishery Statistical Collections. FIGIS Data Collection. FAO - Rome. Disponível em: http://www.fao.org/figis/servlet/static?dom=collection&xml= global-capture-production.xml Acesso em: 26 jan. 2007.
FONTENEAU, A. 2003 A comparative overview of skipjack fisheries and stocks worldwide. Proceedings of the 16th Meeting of the Standing Committee on Tuna and Billfish. SCTB/SPC. SCTB/SPC.23p.
GEP/UNIVALI. 2003 Boletim estatístico da pesca industrial de Santa Catarina í Ano 2002. 93 p.
HABIAGA, R. G. P.; CASTELLO, J. P.; VILELA, M. J. A.e PALUDO, M. L. B. 1986 Ocorrência do bonitolistrado (Katsuwonus pelamis) frente ao Rio Grande do Sul. Anais do 4°. Anais do Congresso Bras. de Eng. de Pesca, Curitiba, Brasil. p. 249-272.
HILBORN, R. e J SIBERT. 1986 Is international 1986 Is international management of tunas necessary? South Pac. Comm. News., 38: 31-40.
IATTC. 2003 Fishery Status Report í Tunas and Billfishes in the Eastern Pacific Ocean in 2002. 100p.
ICCAT. 2006a STATISTICAL BULLETIN. VOL. 35.165 p.
ICCAT. 2006b Base de dados da tarefa II (captura e esforço de pesca). Disponível em: http://www.iccat.es. Acesso em 20 de dezembro de 2006.
LANGLEY, A; HAMPTON, J. e WILLIAMS, P. 2004 The Western and Central Pacific Tuna Fishery: 2002 í Overview and Status of Stocks. Tuna Fisheries Assessment Report 5. Noumea, New Caledonia:Secretariat of the Pacific Community. 64p.
MAUNDER, M. 2003 Status of Skipjack Tuna in the Eastern Pacific Ocean in 2001 and Outlook for 2002.Bull. Inter-Amer. Trop. Tuna Comm. 52p.
MAUNDER, M. N. e PUNT, A. E. 2004 Standardizing Standardizing catch and effort data: a review of recent approaches. Fisheries Research, 70: 141-159.
McCULLAGH, P e NELDER, J. A. 1989 Generalized Linear Models. London, Chapman & Hall. 513p.
MENESES de LIMA, J. H.; LIN, C. F. e MENEZES, A.A. S. 2000a Preliminary results of standardized catch rates for skipjack tuna (Katsuwonus pelamis) from the Brazilian baitboat fishery trough 1998. Col. Vol. Sci. Pap. ICCAT, 51: 464-487.
MENESES de LIMA, J. H.; LIN, C. F. e MENEZES, A.A. S. 2000b A description of the baitboat fishery off the south and southeast Brazil. Col. Vol. Sci. Pps.ICCAT, 51: 416-463.
QUINN II, T. J.; HOAG, S. H.; SOUTHWARD, G. M. 1982 Comparison of two methods of combining catch-per-unit-effort from geographic regions. Can.J. Fish. Aquat. Sci. 39: 837-846.
R DEVELOPMENT CORE TEAM. 2005 R: A language and environment for statistical computing, reference index version 2.x.x. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3- ISBN 3-900051-07-0, URL. http://www.R-project.org.
UNIVALI-CTTMar. 2006 Boletim estatístico da pesca industrial de Santa Catarina - ano 2004. Universidade do Vale do Itajaí, Itajaí-SC. 64 p.
VIGNAUX, M. 1994 Catch per unit effort (CPUE)analysis of west coast South Island Cook Strait spawning hoki fisheries, 1987-93. NZ Fisheries Association Research Document No.94/11.
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2018-11-03
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