Hostname: page-component-77c89778f8-rkxrd Total loading time: 0 Render date: 2024-07-18T16:56:24.305Z Has data issue: false hasContentIssue false

Updated estimate of the growth curve of Western Atlantic bluefin tuna

Published online by Cambridge University Press:  04 February 2011

Victor R. Restrepo*
Affiliation:
International Seafood Sustainability Foundation, P.O. Box 11110, McLean VA 22102, USA
Guillermo A. Diaz
Affiliation:
NOAA Fisheries, Office of Science and Technology, 1315 East West Highway, Silver Spring, MD 20910, USA
John F. Walter
Affiliation:
NOAA Fisheries, Southeast Fisheries Science Center, 75 Virginia Beach Dr., Miami, FL 33149, USA
John D. Neilson
Affiliation:
Fisheries and Oceans Canada, Biological Station, 531 Brandy Cove Road, St. Andrews, NB, CANADA E5B 2L9
Steven E. Campana
Affiliation:
Fisheries and Oceans Canada, Bedford Institute of Oceanography, POB 1006, Dartmouth, NS, Canada B2Y 4A2
David Secor
Affiliation:
Chesapeake Biological Lab, University of Maryland Center for Environmental Science, Solomons, MD 20688, USA
Rebecca L. Wingate
Affiliation:
Chesapeake Biological Lab, University of Maryland Center for Environmental Science, Solomons, MD 20688, USA
*
a Corresponding auteur: vrestrepo@iss-foundation.org

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The curve used until recently by the International Commission for the Conservation of Atlantic Tunas (ICCAT) to represent the growth of western Atlantic bluefin tuna, Thunnus thynnus, was estimated using tagging information and modal sizes that corresponded primarily to very young fish (ages 1–3, primarily). The estimated maximum average size from this curve is very large (382 cm), which could be a result of the scarcity of large bluefin in the data used. Recently, scientists have developed techniques for reading ages from bluefin ear bones (otoliths); the accuracy of the age readings has been validated with bomb radiocarbon dating. These age readings are primarily for large bluefin (ages 5 and older), and indicate slower growth and older ages than was previously assumed. However, an analysis of these data resulted in growth curves that predicted very small mean sizes for the youngest age group, which could be a result of the lack of small fish in the data used. In this study, we combine the otolith-based age readings with the size frequency distributions of small (ages 1–3) bluefin caught by purse seiners in the 1970s where the age groups are distinctly statistically as well as visible to the eye. We analyzed the two datasets jointly using a maximum likelihood approach and assumed that variability in length-at-age increases with age. The resulting growth curve predicts sizes at young and old ages that are very consistent with observed data such as the maximum sizes observed in the catch and the modal sizes for very young bluefin. The resulting curve is also very similar to the curve used by ICCAT for eastern Atlantic and Mediterranean bluefin.

Type
Research Article
Copyright
© EDP Sciences, IFREMER, IRD 2011

References

Références

Anonymous, 2009, Report of the 2008 Atlantic bluefin tuna stock assessment session. Coll. Vol. Sci. Pap. ICCAT 64, 1-352.
Cort, J.L., 1991, Age and growth of the bluefin tuna (Thunnus thynnus) in the Northeast Atlantic. Coll. Vol. Sci. Pap. ICCAT 35, 213-230. Google Scholar
Fabens, A.J., 1965, Properties and fitting of the von Bertalanffy growth curve. Growth 29, 265-289. Google ScholarPubMed
Goodyear, C.P., 1996, Minimum sizes for red grouper: consequences of considering variable size-at-age. N. Am. J. Fish. Manage. 16, 505-511. 2.3.CO;2>CrossRefGoogle Scholar
Hampton, J., 1991, Estimation of southern bluefin tuna Thunnus maccoyii growth parameters from tagging data, using von Bertalanffy models incorporating individual variation. Fish. Bull. 89, 577-590. Google Scholar
Hearn, W.S., Polacheck, T., 2003, Estimating long-term growth-rate changes of southern bluefin tuna (Thunnus maccoyii) from two periods of tag-return data. Fish. Bull. 101, 58-74. Google Scholar
Kirkwood, G.P., Somers, I.F, 1984, Growth of two species of tiger prawn Penaeus esculentus and Penaeus semisulcatus in the western Gulf of Carpenteria. Aust. J. Mar. Freshw. Res. 35, 703-712. Google Scholar
Lassen, H., 1988, Splitting length distributions into peaks and the clean class concept. ICLARM Fishbyte 6, 1114. Google Scholar
Macdonald, P.D.M., Pitcher, T.J., 1979, Age-groups from size–frequency data: a versatile and efficient method of analyzing distribution mixtures. J. Fish. Res. Board Can. 36, 9871001. CrossRefGoogle Scholar
Miyake, P.M., 1985, Updating and improvements made on ICCAT bluefin catch by size data base. Coll. Vol. Sci. Pap. ICCAT 22, 81-97. Google Scholar
Neilson, J.D., Campana, S.E., 2008, A validated description of age and growth of western Atlantic bluefin tuna (Thunnus thynnus). Can. J. Fish. Aquat. Sci. 65, 1523-1527. CrossRefGoogle Scholar
Porch C., Restrepo V.R., Neilson J.D., Secor D., 2008, Sensitivity of virtual population analysis of western bluefin to the use of an alternative growth curve for estimation of catch-at-age. ICCAT SCRS/2008/091.
Quinn T.J., Deriso R.B., 1999, Quantitative Fish Dynamics. Oxford University Press, NY.
Secor D.H., Wingate R.L., Neilson J.D., Rooker J.R., Campana S.E., 2008, Growth of Atlantic bluefin tuna: direct age estimates. ICCAT, SCRS/2008/084.
Turner, S.C., Restrepo, V.R., 1994, A review of the growth rate of West Atlantic bluefin tuna, Thunnus thynnus, estimated from marked and recaptured fish. Coll. Vol. Sci. Pap. ICCAT 42, 170-172. Google Scholar