Hostname: page-component-8448b6f56d-sxzjt Total loading time: 0 Render date: 2024-04-24T15:55:25.564Z Has data issue: false hasContentIssue false

Age and growth of Alitta succinea (Polychaeta; Nereididae) in a tropical estuary of Brazil

Published online by Cambridge University Press:  06 August 2013

C.S.C. Sette*
Affiliation:
Universidade Federal de Pernambuco—UFPE, Centro de Ciências Biológicas-CCB, Laboratório de Comunidades Marinhas-LACMAR, Avenida Professor Moraes Rego, s/n Cidade Universitária, Recife—PE CEP: 50670-420, Brazil
R.A. Shinozaki-Mendes
Affiliation:
Universidade Federal Rural de Pernambuco (UFRPE), Unidade Acadêmica de Serra Talhada, Laboratório de Biologia Pesqueira, Fazenda Saco, s/n. Serra Talhada, PE, Caixa Postal 063 CEP 56900-000, Brazil
T.L. Barros
Affiliation:
Universidade Federal de Pernambuco—UFPE, Centro de Ciências Biológicas-CCB, Laboratório de Comunidades Marinhas-LACMAR, Avenida Professor Moraes Rego, s/n Cidade Universitária, Recife—PE CEP: 50670-420, Brazil
J.R.B. Souza
Affiliation:
Universidade Federal de Pernambuco—UFPE, Centro de Ciências Biológicas-CCB, Laboratório de Comunidades Marinhas-LACMAR, Avenida Professor Moraes Rego, s/n Cidade Universitária, Recife—PE CEP: 50670-420, Brazil
*
Correspondence should be addressed to: C.S.C. Sette, Avenida José Augusto Moreira, n°66 apartamento 101, CEP: 53130-410, Pernambuco, Brazil email: cristiana-sette@hotmail.com

Abstract

The aim of this work was to study the dynamics of Alitta succinea population growth in a tropical estuary. The organisms were collected in the polyhaline area of Pina Basin, north-eastern Brazil, in lower and shallow subtidal consolidated substrates, from October 2009 to March 2011. Fifteen samples with a size of 0.01 m2 were collected every month. A total of 2064 A. succinea individuals were measured for growth analysis, and the measure used was the length from prostomium to the 25th setiger. Growth parameters were estimated by the frequency–length distribution data from three different functions (i.e. von Bertalanffy, Gompertz and Richards). The differences in the densities of A. succinea were significant between the months of the dry and the rainy season, with the rain pattern being the factor that most affects the A. succinea life cycle. According to Akaike information criteria, the von Bertalanffy and Gompertz models were the ones that presented the best fit with the growth curve of A. succinea for the studied period. Using the Bhattacharya method for the analysis of modal progression, we identified eight cohorts. The lowest recruitment values were found in July and August 2010, respectively, and the remaining months had numbers of recruits that were representative of the total population. The growth performance index (Ø′) found was 2.86. The maximum longevity indicates that specimens of A. succinea live between 586 and 953 d, and the instantaneous mortality rate (Z) is 1.53 yr−1.

Type
Research Article
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

Akaike, H. (1974) A new look at the statistical model identification. IEEE Transactions on Automatic Control 19, 716725.CrossRefGoogle Scholar
Amaral, A.C.Z., Nallin, S.A.H., Steiner, T.M., Forroni, T.O. and Gomes Filho, D. (2006–2012) Catálogo das espécies de Annelida Polychaeta do Brasil. Available at: http://www.ib.unicamp.br/museu_zoologia/files/lab_museu_zoologia/Cat%C3%AIlogo_Polychaeta_Brasil_Amaral_et_al_2013_1a.pdf Google Scholar
Amaral, A.C.Z., Rizzo, A. and Arruda, E.P. (2005) Manual de identificação dos invertebrados marinhos da região sudeste-sul do Brasil. Vol. 1. São Paulo: Editora da Universidade de São Paulo.Google Scholar
Bhattacharya, C.G. (1967) A simple method of resolution of a distribution into Gaussian components. Biometrics 23, 115135.CrossRefGoogle ScholarPubMed
Beverton, R.J.H. and Holt, S.J. (1957) On the dynamics of exploited fish populations. Fishery Investigations. Series II Volume XIX. London: Ministry of Agriculture, Fisheries and Food.Google Scholar
Caillet, G.M., Smith, W.D., Mollet, H.F. and Goldman, J. (2006) Age and growth studies of chondrichthyan fishes: the need for consistency in terminology, verification, validation, and growth function fitting. Environmental Biology of Fishes 77, 211228.CrossRefGoogle Scholar
Campana, S.E. and Jones, C.M. (1992) Analysis of otolith microstructure data. In Stevenson, D.K. and Campana, S.E. (eds) Otolith microstructure examination and analysis. Ottawa, Canada: Canadian Special Publication of Fisheries and Aquatic Sciences, 117, pp. 73100.Google Scholar
Carpelan, L.H. and Linsley, R.H. (1961) The spawning of Neanthes succinea in the Salton Sea. Ecology 42, 189190.CrossRefGoogle Scholar
Craig, S.F., Thoney, D.A., Schlager, N. and Hutchins, M. (2003) Grzimek's animal life encyclopedia: Vol. 2, Protostomes. Florence, KY: Cengage Gale.Google Scholar
Desrosiers, G., Vincent, B., Retiére, C. and Boucher, L. (1988) Comparaison de critères utilisables pour l'étude de la structure des populations du polychéte Nereis virens (Sars). Canadian Journal of Zoology 66, 14541459.CrossRefGoogle Scholar
Florêncio, M.A.P. (2000) Dinâmica populacional e produção secundária de Laeonereis acuta (Treadwell, 1923) na Praia de Enseada dos Corais—Cabo de Santo Agostinho—Pernambuco—Brasil. Masters thesis, Universidade Federal de Pernambuco, Recife, Brazil.Google Scholar
Gayanilo, F.C. Jr, Sparre, P. and Pauly, D. (2005) FAO-ICLARM stock assessment tools II (FISAT II)—User's guide. FAO Computerized Information Series (Fisheries). No. 8, Revised version. Rome: FAO.Google Scholar
Gillet, P. (1990) Biomasse, production et dynamique des populations de Nereis diversicolor (annélide polychète) de l'estuaire de la Loire (France). Acta Oceanologica 13, 361371.Google Scholar
Gillet, P., Surugiu, V., Vasile, R., Metais, I., Mouloud, M. and Simo, P. (2011) Preliminary data on population dynamics and genetics of Alitta succinea (Polychaeta: Nereididae) from the Romanian coast of the Black Sea. Italian Journal of Zoology 78(S1), 229241.CrossRefGoogle Scholar
Hewitt, C.L., Campell, M.L., Thresher, R.E., Martin, R.B., Boyd, S., Cohen, B.F., Curril, D.R., Goman, M.F., Keough, M.J., Lewis, J.A., Lockett, M.M., Mays, N., McAurthur, M.A., O'Hara, T.O., Poore, G.C.B., Ross, D.J., Storey, M.J., Watson, J.K. and Wilson, R.S. (2004) Introduced and cryptogenic species in Port Phillip Bay, Victoria, Australia. Marine Biology 144, 183202.Google Scholar
Hood, G.M. (2006) Pop Tools version 2.7.5. Software. Available at: http://www.cse.csiro.au/poptools (accessed 28 June 2013).Google Scholar
Hutchings, P.A., Wilson, R.S., Glasby, C.J., Paxton, H. and Watson Russell, C. (2000) Appendix 1. In Beesley, P.L., Ross, G.J.B. and Glasby, C.J. (eds) Polychaetes and allies: the southern synthesis. Melbourne: CSIRO Publishing, pp. 242243.Google Scholar
Invasive Species Specialist Group (ISSG) (2007) Ecology of Alitta succinea. Global Invasive Species database. Available at: http://www.issg.org/database/species/ecology.asp?si=1068&fr=1&sts=&lang=EN (accessed 28 June 2013).Google Scholar
Martin, J.P. and Bastida, R. (2006) Population structure, growth and production of Laeonereis culveri (Nereididae: Polychaeta) in tidal flats of Río de la Plata estuary, Argentina. Journal of the Marine Biological Association of the United Kingdom 86, 235244.CrossRefGoogle Scholar
Omena, E.P. and Amaral, A.C.Z. (2000) Population dynamics and secondary production of Laeonereis acuta (Treadwell, 1923) (Nereididae, Polychaeta). Bulletin of Marine Science 67, 421431.Google Scholar
Omena, E.P. and Amaral, A.C.Z. (2001) Morphometric study of nereidid Laeonereis acuta (Annelida: Polychaeta). Journal of the Marine Biological Association of the United Kingdom 81, 423426.CrossRefGoogle Scholar
Pagliosa, P.R. and Lana, P.C. (2000) Population dynamics and secondary production of Nereis oligohalina (Nereididae: Polychaeta) from a subtropical marsh in south-east Brazil. Bulletin of Marine Science 67, 259268.Google Scholar
Pauly, D. and Munro, J.L. (1984) Once more on the comparison of growth in fish and invertebrates. Fishbyte 2, 21.Google Scholar
Pauly, D., Moreau, J. and Abad, N. (1995) Comparison of age structure and length converted catch curves of brown trout Salmo trutta in two French rivers. Fisheries Research 22, 197204.CrossRefGoogle Scholar
Pardo, E.V. and Amaral, A.C.Z. (2006) Foraging and mobility in three species of aciculata (Annelida: Polycaeta). Brazilian Journal of Biology 66, 10651072.CrossRefGoogle Scholar
Pardo, E.V. and Dauer, D.M. (2003) Particle size selection in individuals from epifaunal versus infaunal populations of the nereidid polychaete Neanthes succinea (Polychaeta: Nereididae). Hydrobiologia 496, 355360.CrossRefGoogle Scholar
Rouse, G.W. and Pleijel, F. (2001) Polychaetes. Oxford: Oxford University Press.Google Scholar
Richards, F.J. (1959) A flexible growth function for empirical use. Journal of Experimental Botany 10, 290300.CrossRefGoogle Scholar
Santos, G.T., Bezerra, J.L. Jr, Costa, K.M.P. and Feitosa, F.A.N. (2009) Dinâmica da biomassa fitoplanctônica e variáveis ambientais em um estuário tropical (Pina Basin, Recife, PE). Revista Brasileira de Engenharia de Pesca 4, 95109.Google Scholar
Villalobos-Guerrero, T.F. (2012) Ficha técnica y análisis de riesgo de Alitta succinea (Leuckart in Frey and Leuckart, 1847) (Polychaeta: Nereididae). In Low Pfeng, A.M. and Peters Recagno, E.M. (eds) Invertebrados marinos exóticos en el Pacífico mexicano. Mexico: INE-SEMARNAT.Google Scholar
Wilson, R.S. (2000) Family Nereididae. In Beesley, P.L., Ross, G.J.B. and Glasby, C.J. (eds) Polychaetes and allies: the southern synthesis. Melbourne: CSIRO Publishing, pp. 138141.Google Scholar
Zar, J.H. (1999) Biostatistical analysis. 4th edition. Upper Saddle River, NJ: Prentice-Hall.Google Scholar