Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference

Costa, Luiz R F; Barthem, Ronaldo Borges; Albernaz, Ana Luísa Kerti Mangabeira; Bittencourt, Maria Mercedes; Villacorta-Corrêa, Marle Angélica

Artigo

Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference

The tambaqui, Colossoma macropomum, is one of the most commercially valuable Amazonian fish species, and in the floodplains of the region, they are caught in both rivers and lakes. Most growth studies on this species to date have adjusted only one growth model, the von Bertalanffy, without consideri...

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Autor principal:	Costa, Luiz R F
Outros Autores:	Barthem, Ronaldo Borges, Albernaz, Ana Luísa Kerti Mangabeira, Bittencourt, Maria Mercedes, Villacorta-Corrêa, Marle Angélica
Grau:	Artigo
Idioma:	pt_BR
Publicado em:	Revista Brasileira de Biologia 2020
Assuntos:	Animals Biological Model Brasil Characiformes Classification Growth, Development And Aging Lake Animal Brasil Characiformes Lakes Models, Biological
Acesso em linha:	https://repositorio.inpa.gov.br/handle/1/14816

id	oai:repositorio:1-14816
recordtype	dspace
spelling	oai:repositorio:1-14816 Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference Modelagem do crescimento do tambaqui (Colossoma macropomum Cuvier, 1816): Seleção de modelos e inferência multimodelos Costa, Luiz R F Barthem, Ronaldo Borges Albernaz, Ana Luísa Kerti Mangabeira Bittencourt, Maria Mercedes Villacorta-Corrêa, Marle Angélica Animals Biological Model Brasil Characiformes Classification Growth, Development And Aging Lake Animal Brasil Characiformes Lakes Models, Biological The tambaqui, Colossoma macropomum, is one of the most commercially valuable Amazonian fish species, and in the floodplains of the region, they are caught in both rivers and lakes. Most growth studies on this species to date have adjusted only one growth model, the von Bertalanffy, without considering its possible uncertainties. In this study, four different models (von Bertalanffy, Logistic, Gompertz and the general model of Schnüte-Richards) were adjusted to a data set of fish caught within lakes from the middle Solimões River. These models were adjusted by non-linear equations, using the sample size of each age class as its weight. The adjustment evaluation of each model was based on the Akaike Information Criterion (AIC), the variation of AIC between the models (Δi) and the evidence weights (wi). Both the Logistic (Δi = 0.0) and Gompertz (Δi = 1.12) models were supported by the data, but neither of them was clearly superior (wi, respectively 52.44 and 29.95%). Thus, we propose the use of an averaged-model to estimate the asymptotic length (L∞). The averaged-model, based on Logistic and Gompertz models, resulted in an estimate of L∞=90.36, indicating that the tambaqui would take approximately 25 years to reach average size. 2020-04-24T17:09:46Z 2020-04-24T17:09:46Z 2013 Artigo https://repositorio.inpa.gov.br/handle/1/14816 10.1590/S1519-69842013000200021 pt_BR Volume 73, Número 2, Pags. 397-403 Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf Revista Brasileira de Biologia
institution	Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection	INPA-RI
language	pt_BR
topic	Animals Biological Model Brasil Characiformes Classification Growth, Development And Aging Lake Animal Brasil Characiformes Lakes Models, Biological
spellingShingle	Animals Biological Model Brasil Characiformes Classification Growth, Development And Aging Lake Animal Brasil Characiformes Lakes Models, Biological Costa, Luiz R F Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference
topic_facet	Animals Biological Model Brasil Characiformes Classification Growth, Development And Aging Lake Animal Brasil Characiformes Lakes Models, Biological
description	The tambaqui, Colossoma macropomum, is one of the most commercially valuable Amazonian fish species, and in the floodplains of the region, they are caught in both rivers and lakes. Most growth studies on this species to date have adjusted only one growth model, the von Bertalanffy, without considering its possible uncertainties. In this study, four different models (von Bertalanffy, Logistic, Gompertz and the general model of Schnüte-Richards) were adjusted to a data set of fish caught within lakes from the middle Solimões River. These models were adjusted by non-linear equations, using the sample size of each age class as its weight. The adjustment evaluation of each model was based on the Akaike Information Criterion (AIC), the variation of AIC between the models (Δi) and the evidence weights (wi). Both the Logistic (Δi = 0.0) and Gompertz (Δi = 1.12) models were supported by the data, but neither of them was clearly superior (wi, respectively 52.44 and 29.95%). Thus, we propose the use of an averaged-model to estimate the asymptotic length (L∞). The averaged-model, based on Logistic and Gompertz models, resulted in an estimate of L∞=90.36, indicating that the tambaqui would take approximately 25 years to reach average size.
format	Artigo
author	Costa, Luiz R F
author2	Barthem, Ronaldo Borges Albernaz, Ana Luísa Kerti Mangabeira Bittencourt, Maria Mercedes Villacorta-Corrêa, Marle Angélica
author2Str	Barthem, Ronaldo Borges Albernaz, Ana Luísa Kerti Mangabeira Bittencourt, Maria Mercedes Villacorta-Corrêa, Marle Angélica
title	Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference
title_short	Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference
title_full	Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference
title_fullStr	Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference
title_full_unstemmed	Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference
title_sort	modelling the growth of tambaqui, colossoma macropomum (cuvier, 1816) in floodplain lakes: model selection and multimodel inference
publisher	Revista Brasileira de Biologia
publishDate	2020
url	https://repositorio.inpa.gov.br/handle/1/14816
_version_	1787141914644971520
score	11.755432

Modelling the growth of tambaqui, Colossoma macropomum (Cuvier, 1816) in floodplain lakes: Model selection and multimodel inference

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