Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies

Autores
Braicovich, Paola Elizabeth; Ieno, E. N.; Sáez, M.; Despos, J.; Timi, Juan Tomas
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In order to identify the best tools for stock assessment studies using fish parasites as biological indicators, different host traits (size, mass and age and their interaction with sex) were evaluated as descriptors of cumulative patterns of both parasite abundance and infracommunity species richness. The effect of such variables was analysed for a sample of 265 specimens of Percophis brasiliensis caught in the Argentine Sea. The abundances and species richness were modelled using generalized linear mixed models (GLMMs) with negative binomial and Poisson distribution respectively. Due to collinearity, separate models were fitted for each of the three main explanatory variables (length, mass and age) to identify the optimal set of factors determining the parasite burdens. Optimal GLMMs were selected on the basis of the lowest Akaike information criteria, residual information and simulation studies based on 10 000 iterations. Results indicated that the covariates length and sex consistently appeared in the most parsimonious models suggesting that fish length seems to be a slightly better predictor than age or mass. The biological causes of these patterns are discussed. It is recommended to use fish length as a measure of growth and to restrict comparisons with fish of similar length or to incorporate length as covariate when comparing parasite burdens. Host sex should be also taken into account for those species sexually dimorphic in terms of morphology, behaviour or growth rates.
Fil: Braicovich, Paola Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Fil: Ieno, E. N.. Highland Statistics; España
Fil: Sáez, M.. Instituto Nacional de Investigaciones y Desarrollo Pesquero; Argentina
Fil: Despos, J.. Instituto Nacional de Investigaciones y Desarrollo Pesquero; Argentina
Fil: Timi, Juan Tomas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Materia
Age
Argentine Sea
Collinearity
Length
Parasite Tags
Percophis Brasiliensis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/64502
Acceder
id CONICETDig_7a8cb96adadd7536f88ccbb58844d92f
oai_identifier_str oai:ri.conicet.gov.ar:11336/64502
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studiesBraicovich, Paola ElizabethIeno, E. N.Sáez, M.Despos, J.Timi, Juan TomasAgeArgentine SeaCollinearityLengthParasite TagsPercophis Brasiliensishttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1In order to identify the best tools for stock assessment studies using fish parasites as biological indicators, different host traits (size, mass and age and their interaction with sex) were evaluated as descriptors of cumulative patterns of both parasite abundance and infracommunity species richness. The effect of such variables was analysed for a sample of 265 specimens of Percophis brasiliensis caught in the Argentine Sea. The abundances and species richness were modelled using generalized linear mixed models (GLMMs) with negative binomial and Poisson distribution respectively. Due to collinearity, separate models were fitted for each of the three main explanatory variables (length, mass and age) to identify the optimal set of factors determining the parasite burdens. Optimal GLMMs were selected on the basis of the lowest Akaike information criteria, residual information and simulation studies based on 10 000 iterations. Results indicated that the covariates length and sex consistently appeared in the most parsimonious models suggesting that fish length seems to be a slightly better predictor than age or mass. The biological causes of these patterns are discussed. It is recommended to use fish length as a measure of growth and to restrict comparisons with fish of similar length or to incorporate length as covariate when comparing parasite burdens. Host sex should be also taken into account for those species sexually dimorphic in terms of morphology, behaviour or growth rates.Fil: Braicovich, Paola Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Ieno, E. N.. Highland Statistics; EspañaFil: Sáez, M.. Instituto Nacional de Investigaciones y Desarrollo Pesquero; ArgentinaFil: Despos, J.. Instituto Nacional de Investigaciones y Desarrollo Pesquero; ArgentinaFil: Timi, Juan Tomas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaWiley Blackwell Publishing, Inc2016-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/64502Braicovich, Paola Elizabeth; Ieno, E. N.; Sáez, M.; Despos, J.; Timi, Juan Tomas; Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies; Wiley Blackwell Publishing, Inc; Journal of Fish Biology; 89; 5; 11-2016; 2419-24330022-11121095-8649CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/jfb.13127info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/jfb.13127info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:17:26Zoai:ri.conicet.gov.ar:11336/64502instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:17:27.199CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies
title Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies
spellingShingle Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies
Braicovich, Paola Elizabeth
Age
Argentine Sea
Collinearity
Length
Parasite Tags
Percophis Brasiliensis
title_short Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies
title_full Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies
title_fullStr Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies
title_full_unstemmed Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies
title_sort Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies
dc.creator.none.fl_str_mv Braicovich, Paola Elizabeth
Ieno, E. N.
Sáez, M.
Despos, J.
Timi, Juan Tomas
author Braicovich, Paola Elizabeth
author_facet Braicovich, Paola Elizabeth
Ieno, E. N.
Sáez, M.
Despos, J.
Timi, Juan Tomas
author_role author
author2 Ieno, E. N.
Sáez, M.
Despos, J.
Timi, Juan Tomas
author2_role author
author
author
author
dc.subject.none.fl_str_mv Age
Argentine Sea
Collinearity
Length
Parasite Tags
Percophis Brasiliensis
topic Age
Argentine Sea
Collinearity
Length
Parasite Tags
Percophis Brasiliensis
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In order to identify the best tools for stock assessment studies using fish parasites as biological indicators, different host traits (size, mass and age and their interaction with sex) were evaluated as descriptors of cumulative patterns of both parasite abundance and infracommunity species richness. The effect of such variables was analysed for a sample of 265 specimens of Percophis brasiliensis caught in the Argentine Sea. The abundances and species richness were modelled using generalized linear mixed models (GLMMs) with negative binomial and Poisson distribution respectively. Due to collinearity, separate models were fitted for each of the three main explanatory variables (length, mass and age) to identify the optimal set of factors determining the parasite burdens. Optimal GLMMs were selected on the basis of the lowest Akaike information criteria, residual information and simulation studies based on 10 000 iterations. Results indicated that the covariates length and sex consistently appeared in the most parsimonious models suggesting that fish length seems to be a slightly better predictor than age or mass. The biological causes of these patterns are discussed. It is recommended to use fish length as a measure of growth and to restrict comparisons with fish of similar length or to incorporate length as covariate when comparing parasite burdens. Host sex should be also taken into account for those species sexually dimorphic in terms of morphology, behaviour or growth rates.
Fil: Braicovich, Paola Elizabeth. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Fil: Ieno, E. N.. Highland Statistics; España
Fil: Sáez, M.. Instituto Nacional de Investigaciones y Desarrollo Pesquero; Argentina
Fil: Despos, J.. Instituto Nacional de Investigaciones y Desarrollo Pesquero; Argentina
Fil: Timi, Juan Tomas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
description In order to identify the best tools for stock assessment studies using fish parasites as biological indicators, different host traits (size, mass and age and their interaction with sex) were evaluated as descriptors of cumulative patterns of both parasite abundance and infracommunity species richness. The effect of such variables was analysed for a sample of 265 specimens of Percophis brasiliensis caught in the Argentine Sea. The abundances and species richness were modelled using generalized linear mixed models (GLMMs) with negative binomial and Poisson distribution respectively. Due to collinearity, separate models were fitted for each of the three main explanatory variables (length, mass and age) to identify the optimal set of factors determining the parasite burdens. Optimal GLMMs were selected on the basis of the lowest Akaike information criteria, residual information and simulation studies based on 10 000 iterations. Results indicated that the covariates length and sex consistently appeared in the most parsimonious models suggesting that fish length seems to be a slightly better predictor than age or mass. The biological causes of these patterns are discussed. It is recommended to use fish length as a measure of growth and to restrict comparisons with fish of similar length or to incorporate length as covariate when comparing parasite burdens. Host sex should be also taken into account for those species sexually dimorphic in terms of morphology, behaviour or growth rates.
publishDate 2016
dc.date.none.fl_str_mv 2016-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/64502
Braicovich, Paola Elizabeth; Ieno, E. N.; Sáez, M.; Despos, J.; Timi, Juan Tomas; Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies; Wiley Blackwell Publishing, Inc; Journal of Fish Biology; 89; 5; 11-2016; 2419-2433
0022-1112
1095-8649
CONICET Digital
CONICET
url http://hdl.handle.net/11336/64502
identifier_str_mv Braicovich, Paola Elizabeth; Ieno, E. N.; Sáez, M.; Despos, J.; Timi, Juan Tomas; Assessing the role of host traits as drivers of the abundance of long-lived parasites in fish-stock assessment studies; Wiley Blackwell Publishing, Inc; Journal of Fish Biology; 89; 5; 11-2016; 2419-2433
0022-1112
1095-8649
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/jfb.13127
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/jfb.13127
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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