caa a22 4500 606228233 CHVBK 20210128101202.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s10641-014-0284-1 doi (NATIONALLICENCE)springer-10.1007/s10641-014-0284-1 Bayesian age and growth analysis of the shortfin mako shark Isurus oxyrinchus in the Western South Atlantic Ocean using a flexible model [Elektronische Daten] [Florencia Doño, Santiago Montealegre-Quijano, Andrés Domingo, Paul Kinas] Age and growth estimates of shortfin mako sharks Isurus oxyrinchus from the western South Atlantic Ocean were obtained through the analysis of vertebral sections of 245 specimens (126 females, 116 males and 3 with undetermined sex), ranging in size from 78 to 330cm fork length (FL), using a flexible growth model (Schnute model) and a Bayesian approach. A significant linear relationship was found between FL and vertebral radius for sexes combined. Marginal increment analyses were inconclusive about periodicity of growth band deposition and an annual periodicity was assumed to make age estimations. Specimens were estimated to be between 0 and 28years of age. The Schnute model provided a good description of the individual growth for both sexes up to 15years of age. Shortfin mako growth during the first year of life was 33.9cm (ICr95% = 19.9-40.8) for females and 30.5cm (ICr95% = 25.6-35.4) for males. Until approximately 15years of age, both sexes showed similar growth and reached ~217cm FL. Sigmoid shaped growth curves obtained for both sexes indicated a change in the growth pattern close to 7years of age. Inconclusive results about periodicity of growth band deposition in the study area make necessary the application of more robust validation techniques in the future. Meanwhile, a precautionary approach that assumes an annual deposition pattern in the western South Atlantic can be used for the assessment and management of stocks of this species, characterized by low fecundity and late maturity. Springer Science+Business Media Dordrecht, 2014 Isurus oxyrinchus nationallicence Age and growth nationallicence Schnute growth model nationallicence Bayesian approach nationallicence Doño Florencia Programa de Pós-graduação em Oceanografia Biológica, Instituto de Oceanografia, Universidade Federal do Rio Grande (FURG), Avenida Itália km 8, CEP 96201-900, Rio Grande, RS, Brazil aut Montealegre-Quijano Santiago Laboratório de Elasmobrânquios, Instituto de Oceanografia, Universidade Federal do Rio Grande (FURG), Avenida Itália km 8, CEP 96201-900, Rio Grande, RS, Brazil aut Domingo Andrés Departamento de Recursos Pelágicos, Dirección Nacional de Recursos Acuáticos (DINARA), Constituyente 1497, CP 11200, Montevideo, Uruguay aut Kinas Paul Laboratório de Estatística Ambiental, Instituto de Matemática, Estatística e Física (IMEF), Universidade Federal do Rio Grande (FURG), Caixa Postal 474, Avenida Itália km 8, CEP 96201-900, Rio Grande, RS, Brazil aut Environmental Biology of Fishes Springer Netherlands 98/2(2015-02-01), 517-533 0378-1909 98:2<517 2015 98 10641 https://doi.org/10.1007/s10641-014-0284-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10641-014-0284-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Doño Florencia Programa de Pós-graduação em Oceanografia Biológica, Instituto de Oceanografia, Universidade Federal do Rio Grande (FURG), Avenida Itália km 8, CEP 96201-900, Rio Grande, RS, Brazil aut NATIONALLICENCE 700 1- Montealegre-Quijano Santiago Laboratório de Elasmobrânquios, Instituto de Oceanografia, Universidade Federal do Rio Grande (FURG), Avenida Itália km 8, CEP 96201-900, Rio Grande, RS, Brazil aut NATIONALLICENCE 700 1- Domingo Andrés Departamento de Recursos Pelágicos, Dirección Nacional de Recursos Acuáticos (DINARA), Constituyente 1497, CP 11200, Montevideo, Uruguay aut NATIONALLICENCE 700 1- Kinas Paul Laboratório de Estatística Ambiental, Instituto de Matemática, Estatística e Física (IMEF), Universidade Federal do Rio Grande (FURG), Caixa Postal 474, Avenida Itália km 8, CEP 96201-900, Rio Grande, RS, Brazil aut NATIONALLICENCE 773 0- Environmental Biology of Fishes Springer Netherlands 98/2(2015-02-01), 517-533 0378-1909 98:2<517 2015 98 10641