Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern Atlantic
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Neotropical ichthyology (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252012000100014 |
Resumo: | The purpose of the current study was to supply the first information on age and growth for Thunnus obesus caught in the equatorial south-western Atlantic using dorsal spines, an approach that has been successfully employed for ageing tuna species. The study was conducted using a multi-model inference based on information theory for back-calculated and observed length-at-age data. Uncertainty associated with the parameter estimation was verified and results were compared to other accounts on the species, considering both the statistical and methodological contexts. Samples were collected in Natal city (Rio Grande do Norte State, Brazil) from February 1999 to January 2000, of tuna vessels and from surveys, aimed at providing information on the Brazilian Exclusive Economic Zone (EEZ) in the area around São Pedro and São Paulo Archipelago. Validation using marginal increment indicated that one ring is deposited per year. Mean length-at-age ranged of 54.3 to 177.5 cm (fork length) for ages 1 to 9 years. Von Bertalanffy, Richards, and Gompertz models were considered suitable for the bigeye tuna. Hence, the model-averaged asymptotic length ¯L∞ was estimated. The averaged model generated in the present study by back-calculation was considered appropriate for describing the growth of T. obesus. |
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Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern AtlanticAgeing techniquesDorsal-fin spineGrowth parametersMulti-model inferenceThe purpose of the current study was to supply the first information on age and growth for Thunnus obesus caught in the equatorial south-western Atlantic using dorsal spines, an approach that has been successfully employed for ageing tuna species. The study was conducted using a multi-model inference based on information theory for back-calculated and observed length-at-age data. Uncertainty associated with the parameter estimation was verified and results were compared to other accounts on the species, considering both the statistical and methodological contexts. Samples were collected in Natal city (Rio Grande do Norte State, Brazil) from February 1999 to January 2000, of tuna vessels and from surveys, aimed at providing information on the Brazilian Exclusive Economic Zone (EEZ) in the area around São Pedro and São Paulo Archipelago. Validation using marginal increment indicated that one ring is deposited per year. Mean length-at-age ranged of 54.3 to 177.5 cm (fork length) for ages 1 to 9 years. Von Bertalanffy, Richards, and Gompertz models were considered suitable for the bigeye tuna. Hence, the model-averaged asymptotic length ¯L∞ was estimated. The averaged model generated in the present study by back-calculation was considered appropriate for describing the growth of T. obesus.Sociedade Brasileira de Ictiologia2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252012000100014Neotropical Ichthyology v.10 n.1 2012reponame:Neotropical ichthyology (Online)instname:Sociedade Brasileira de Ictiologia (SBI)instacron:SBI10.1590/S1679-62252012000100014info:eu-repo/semantics/openAccessDuarte-Neto,PauloHiga,Fábio M.Lessa,Rosangela P.eng2012-04-18T00:00:00Zoai:scielo:S1679-62252012000100014Revistahttp://www.ufrgs.br/ni/https://old.scielo.br/oai/scielo-oai.php||neoichth@nupelia.uem.br1982-02241679-6225opendoar:2012-04-18T00:00Neotropical ichthyology (Online) - Sociedade Brasileira de Ictiologia (SBI)false |
dc.title.none.fl_str_mv |
Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern Atlantic |
title |
Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern Atlantic |
spellingShingle |
Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern Atlantic Duarte-Neto,Paulo Ageing techniques Dorsal-fin spine Growth parameters Multi-model inference |
title_short |
Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern Atlantic |
title_full |
Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern Atlantic |
title_fullStr |
Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern Atlantic |
title_full_unstemmed |
Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern Atlantic |
title_sort |
Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern Atlantic |
author |
Duarte-Neto,Paulo |
author_facet |
Duarte-Neto,Paulo Higa,Fábio M. Lessa,Rosangela P. |
author_role |
author |
author2 |
Higa,Fábio M. Lessa,Rosangela P. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Duarte-Neto,Paulo Higa,Fábio M. Lessa,Rosangela P. |
dc.subject.por.fl_str_mv |
Ageing techniques Dorsal-fin spine Growth parameters Multi-model inference |
topic |
Ageing techniques Dorsal-fin spine Growth parameters Multi-model inference |
description |
The purpose of the current study was to supply the first information on age and growth for Thunnus obesus caught in the equatorial south-western Atlantic using dorsal spines, an approach that has been successfully employed for ageing tuna species. The study was conducted using a multi-model inference based on information theory for back-calculated and observed length-at-age data. Uncertainty associated with the parameter estimation was verified and results were compared to other accounts on the species, considering both the statistical and methodological contexts. Samples were collected in Natal city (Rio Grande do Norte State, Brazil) from February 1999 to January 2000, of tuna vessels and from surveys, aimed at providing information on the Brazilian Exclusive Economic Zone (EEZ) in the area around São Pedro and São Paulo Archipelago. Validation using marginal increment indicated that one ring is deposited per year. Mean length-at-age ranged of 54.3 to 177.5 cm (fork length) for ages 1 to 9 years. Von Bertalanffy, Richards, and Gompertz models were considered suitable for the bigeye tuna. Hence, the model-averaged asymptotic length ¯L∞ was estimated. The averaged model generated in the present study by back-calculation was considered appropriate for describing the growth of T. obesus. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252012000100014 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252012000100014 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1679-62252012000100014 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Ictiologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Ictiologia |
dc.source.none.fl_str_mv |
Neotropical Ichthyology v.10 n.1 2012 reponame:Neotropical ichthyology (Online) instname:Sociedade Brasileira de Ictiologia (SBI) instacron:SBI |
instname_str |
Sociedade Brasileira de Ictiologia (SBI) |
instacron_str |
SBI |
institution |
SBI |
reponame_str |
Neotropical ichthyology (Online) |
collection |
Neotropical ichthyology (Online) |
repository.name.fl_str_mv |
Neotropical ichthyology (Online) - Sociedade Brasileira de Ictiologia (SBI) |
repository.mail.fl_str_mv |
||neoichth@nupelia.uem.br |
_version_ |
1752122180346314752 |