Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-26T22:53:50.788Z Has data issue: false hasContentIssue false
  • English
  • Français

Age and growth of forkbeard, Phycis phycis, in Portuguese continental waters

Published online by Cambridge University Press:  13 December 2013

Ana Rita Vieira ,
Ana Neves ,
Vera Sequeira ,
Rafaela Barros Paiva  and
Leonel Serrano Gordo
Ana Rita Vieira*
Affiliation:
Centro de Oceanografia, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Departamento de Biologia Animal, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
Ana Neves
Affiliation:
Centro de Oceanografia, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
Vera Sequeira
Affiliation:
Centro de Oceanografia, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
Rafaela Barros Paiva
Affiliation:
Centro de Oceanografia, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Departamento de Biologia Animal, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
Leonel Serrano Gordo
Affiliation:
Centro de Oceanografia, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal Departamento de Biologia Animal, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
*
Correspondence should be addressed to: A.R. Vieira Centro de Oceanografia, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal. email: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The forkbeard, Phycis phycis, is an important commercial species in Portugal; however, little information is available on its biology. Age and growth of the forkbeard from Portuguese continental waters were studied using 687 otoliths from specimens caught between May 2011 and December 2012. Otoliths were transversally sectioned, and assigned ages were validated by marginal increment analysis and edge analysis, and indices of precision were also calculated to corroborate ageing within and between readers. Validation techniques showed that an annual growth increment is formed every year, corresponding to the succession of an opaque and a translucent growth zone. Specimens ranged from 15.5 to 67.1 cm total length (TL), and their estimated ages ranged between 0 and 18 years. The forkbeard is a relatively slow growing, long lived species, that does not show sexual dimorphism in growth. The von Bertalanffy growth parameters estimated for forkbeard from the Portuguese continental waters were L∞ = 75.14 cm TL, k = 0.10 yr−1 and t0 = −2.09 yr.

Keywords

agegrowthvalidationindices of precisionsectioned otolithsPhycis phycisforkbeard
Type
Research Article
Information
Journal of the Marine Biological Association of the United Kingdom , Volume 94 , Issue 3 , May 2014 , pp. 623 - 630
Copyright
Copyright © Marine Biological Association of the United Kingdom 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Abecasis, A.R.C., Canha, A., Reis, D., Pinho, M.R. and Gil-Pereira, J. (2009) Age and growth of the forkbeard Phycis phycis (Gadidae) from the Azorean archipelago, North Atlantic. Journal of the Marine Biological Association of the United Kingdom 89, 629–633.Google Scholar
Bagenal, T.B. (1974) The ageing of fish: Proceedings of an International Symposium. Woking: Unwin Brothers Ltd.Google Scholar
Beamish, R.J. (1992) The importance of accurate ages in fisheries science. In Hancock, D.A. (ed.) Proceedings of the Australian Society for Fish Biology workshop on the measurement of age and growth in fish and shellfish. Canberra: Bureau of Rural Resources, Australian Government Publishing Service, pp. 8–22.Google Scholar
Beamish, R.J. and Fournier, D.A. (1981) A method for comparing the precision of a set of age determinations. Canadian Journal of Fisheries and Aquatic Sciences 38, 982–983.Google Scholar
Beamish, R.J. and McFarlane, G.A. (1983) The forgotten requirement for age validation in fisheries biology. Transactions of the American Fisheries Society 112, 735–743.Google Scholar
Beamish, R.J. and McFarlane, G.A. (1995) A discussion of the importance of aging errors, and an application to walleye pollock: the world's largest fishery. In Secor, D.H., Dean, J.M. and Campana, S.E. (eds) Recent developments in fish otolith research. Columbia, SC: University of South Carolina Press, pp. 545–565.Google Scholar
Beckman, D.W. and Wilson, C.A. (1995) Seasonal timing of opaque zone formation in fish otoliths. In Secor, D.H., Dean, J.M. and Campana, S.E. (eds) Recent developments in fish otolith research. Columbia, SC: University of South Carolina Press, pp. 27–43.Google Scholar
Bedford, B.C. (1983) A method for preparing sections of large numbers of otoliths embedded in black polyester resin. ICES Journal of Marine Science 41, 4–12.CrossRefGoogle Scholar
Beverton, R.J.H. (1990) Small marine pelagic fish and the threat of fishing; are they endangered? Journal of Fish Biology 37(A), 5–16.Google Scholar
Boehlert, G.W. (1985) Using objective criteria and multiple regression models for age determination in fishes. Fishery Bulletin 83, 103–117.Google Scholar
Botsford, L.W., Castilla, J.C. and Peterson, C.H. (1997) The management of fisheries and marine ecosystems. Science 277, 509–515.Google Scholar
Bowker, A.H. (1948) A test for symmetry in contin gency tables. Journal of the American Statistical Association 43, 572–574.CrossRefGoogle Scholar
Bradford, M.J. (1991) Effects of ageing errors on recruitment time series estimates from sequential population analysis. Canadian Journal of Fisheries and Aquatic Sciences 48, 555–558.Google Scholar
Cailliet, G.M. and Andrews, A.H. (2008) Age-validated longevity of fishes: its importance for sustainable fisheries. In Tsukamoto, K., Kawamura, T., Takeuchi, T., Beard, T.D. Jr and Kaiser, M.J. (eds) Fisheries for Global Welfare and Environment, 5th World Fisheries Congress 2008. Tokyo: TERRAPUB, pp. 103–120.Google Scholar
Cailliet, G.M., Andrews, A.H., Burton, E.J.Watters, D.L., Kline, D.E. and Ferry-Graham, L.A. (2001) Age determination and validation studies of marine fishes: do deep-dwellers live longer? Experimental Gerontology 36, 739–764.Google Scholar
Campana, S.E. (1999) Chemistry and composition of fish otoliths: pathways, mechanisms and applications. Marine Ecology Progress Series 188, 263–297.Google Scholar
Campana, S.E. (2001) Accuracy, precision and quality control in age determination including a review of the use and abuse of age validation methods. Journal of Fish Biology 59, 197–242.Google Scholar
Campana, S.E., Annand, M.C. and McMillan, J.I. (1995) Graphical and statistical methods for determining the consistency of age determinations. Transactions of the American Fisheries Society 124, 131–138.Google Scholar
Cardinale, M., Arrhenius, F. and Johnsson, B. (2000) Potential use of otolith weight for the determination of age-structure of Baltic cod (Gadus morhua) and plaice (Pleuronectes platessa). Fisheries Research 45, 239–252.Google Scholar
Casas, J.M. and Piñeiro, C. (2000) Growth and age estimation of greater forkbeard (Phycis blennoides Brunnich, 1768) in the north and northwest of the Iberian Peninsula (ICES Division VIIIc and IXa). Fisheries Research 47, 19–25.Google Scholar
Chang, W.Y.B. (1982) A statistical method for evaluating the re-producibility of age determination. Canadian Journal of Fisheries and Aquatic Sciences 39, 1208–1210.Google Scholar
Cohen, D.M., Inada, T., Iwamoto, T. and Scialabba, N. (1990) FAO species catalogue. Vol. 10. Gadiform fishes of the world (Order Gadiformes). An annotated and illustrated catalogue of cods, hakes, grenadiers and other gadiform fishes known to date. FAO Fisheries Synopsis 10, 1–442.Google Scholar
Deree, H.L. (1999) Age and growth, dietary habits, and parasitism of the fourbeard rockling, Enchelyopus cimbrius, from the Gulf of Maine. Fishery Bulletin 97, 39–52.Google Scholar
Fowler, A.J. (1995) Annulus formation in otoliths of coral reef fish–a review. In Secor, D.H., Dean, J.M. and Campana, S.E. (eds) Recent developments in fish otolith research. Columbia, SC: University of South Carolina Press, pp. 45–63.Google Scholar
Francis, R.I.C.C. and Campana, S.E. (2004) Inferring age from otolith measurements: a review and a new approach. Canadian Journal of Fisheries and Aquatic Sciences 61, 1269–1284.Google Scholar
Hilborn, R. and Waters, C. (1992) Quantitative Fisheries Stock Assessment: choice, dynamics and uncertainty. New York: Chapman & Hall.Google Scholar
Hoenig, J.M., Morgan, M.J. and Brown, C.A. (1995) Analysing differences between two age determination methods by tests of symmetry. Canadian Journal of Fisheries and Aquatic Sciences 52, 364–368.CrossRefGoogle Scholar
INE (2013) Statistical data for fisheries 2001–2012. Available at: http://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ineindicadores&indOcorrCod=0001073&contexto=bd&selTab=tab2&exlang=en (accessed 28 May 2013).Google Scholar
Kimura, D.K. (1980) Likelihood methods for the von Bertalanffy growth curve. Fishery Bulletin 77, 765–776.Google Scholar
Labropoulou, M. and Papaconstantinou, C. (2000) Comparison of otolith growth and somatic growth in two macrourid fishes. Fisheries Research 46, 177–188.Google Scholar
Lai, H.L. and Gunderson, D.R. (1987) Effects of ageing error on estimates growth, mortality, mortality and yield per recruit for wallaye pollock (Theragra chalcogramma). Fisheries Research 5, 287–302.Google Scholar
Matarrese, A., D'Onghia, G., Basanisi, M. and Mastrototaro, F. (1998) Spawning and recruitment of Phycis blennoides (Phycidae) from the north-western Ionian Sea (middle-eastern Mediterranean). Italian Journal of Zoology 65, 203–209.Google Scholar
Matić-Skoko, S., Ferri, J., Škeljo, F., Bartulović, V., Glavić, K. and Glamuzina, B. (2011) Age, growth and validation of otolith morphometrics as predictors of age in the forkbeard, Phycis phycis (Gadidae). Fisheries Research 112, 52–58.CrossRefGoogle Scholar
McCurdy, W.J. (1985) A low-speed alternative method for cutting otolith sections. ICES Journal of Marine Science 42, 186–187.Google Scholar
Morales-Nin, B. and Panfili, J. (2005) Seasonality in the deep-sea and tropics revisited: what can otoliths tell us? Marine and Freshwater Research 56, 585–598.Google Scholar
Morales-Nin, B., Torres, G.J., Lombarte, A. and Recasens, L. (1998) Otolith growth and age estimation in the European hake. Journal of Fish Biology 53, 1155–1168.Google Scholar
Morato, T., Afonso, P., Lourinho, P., Barreiros, J.P., Santos, R.S. and Nash, R.D.M. (2001) Length–weight relationships for 21 coastal fish species of the Azores, north-eastern Atlantic. Fisheries Research 50, 297–302.Google Scholar
Myers, R.A., Hutchings, J.A. and Barrowman, N.J. (1997) Why do fish stocks collapse? The example of cod in Atlantic Canada. Ecological Applications 7, 91–106.Google Scholar
Panfili, J. and Morales-Nin, B. (2002) Semi-direct validation. In Panfili, J. and Pontual, H. (eds) Manual of fish sclerochronology, Brest: Ifremer–IRD, pp. 129–134.Google Scholar
Pentilla, J. and Dery, L.M. (1988) Age determination methods for Northwest Atlantic species. NOAA Technical Report NMFS 72, 1–135.Google Scholar
Pinho, M.R. (2003) Abundance estimation and management of Azorean demersal species. PhD thesis. University of the Azores, Horta, Portugal.Google Scholar
Samamé, M. (1977) Determinación de la edad y crecimiento de la sardine Sardinops sagax (J). Boletín–Instituto del Mar del Perú 3, 95–112.Google Scholar
Shono, H. (2000) Efficiency of the finite correction of Akaike's Information Criteria. Fisheries Science 66, 608–610.Google Scholar
Stewart, J. and Hughes, M. (2007) Age validation and growth of three commercially important hemiramphids in south-eastern Australia. Journal of Fish Biology 70, 65–82.Google Scholar
Venables, W.N. and Ripley, B.D. (2002) Modern applied statistics with S. 4th edn.New York: Springer.Google Scholar
Vieira, A.R., Figueiredo, I., Figueiredo, C. and Menezes, G.M. (2013) Age and growth of two deep-water fish species in the Azores Archipelago: Mora moro (Risso, 1810) and Epigonus telescopus (Risso, 1810). Deep Sea Research II (in press) http://dx.doi.org/10.1016/j.dsr2.2013.02.016.Google Scholar
von Bertalanffy, L. (1938) A quantitative theory of organic growth (inquiries of growth laws II). Human Biology 10, 181–213.Google Scholar
Zar, J.H. (1996) Biostatistical analysis. 3rd edn.Englewood Cliffs, NJ: Prentice-Hall.Google Scholar