Catch rate for the skipjack tuna (Katsuwonus pelamis) in the Southwest of the South Atlantic Ocean
Keywords:
GLM, CPUE, abundance index, pole and line, standardized CPUEAbstract
Catch rates may be used as abundance indices of populations exploited by commercial fishing fleets. However catch rates must reflect temporal trends of the biomass and they could not be biased due to factors such as changes in the coefficient of vulnerability. In this paper, generalized linear models were used to estimate catch rates of skipjack (Katsuwonus pelamis) caught in the southwest of the South Atlantic Ocean. Gamma density function and logarithm link function were used to model the variable of interest. The coefficient of variation as calculated for the annual catch rates were all close to 0.15. The variations of the catch rates did not show time trends. Therefore the biomass of the population probably did not change much in the last twenty years.
References
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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