Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS application

Detalhes bibliográficos
Autor(a) principal: Costa, Eudriano F.S.
Data de Publicação: 2022
Outros Autores: Teixeira, Gustavo M., Freire, Fúlvio A.M., Dias, June F., Fransozo, Adilson [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.seares.2022.102203
http://hdl.handle.net/11449/234369
Resumo: The hypothesis of this study was based on the premise that complex interactions between biological and environmental factors may explain variability in fish population dynamics. To test this, Paralonchurus brasiliensis (Sciaenidae), a keystone species associated with coastal waters, was used as a model fish species. Generalized Additive Models for Location, Scale and Shape were performed to evaluate relationships among biological and environmental variables. Fish biomass, repletion index (RI), hepatosomatic index (HSI), condition factor (K) and sex ratio was in models as biological factors whereas water temperature, salinity, organic matter, grain size and depth were included as environmental variables. The results revealed significant effects of biological and abiotic factors on population density of P. brasiliensis. The selected model explained 94% of the variability in the explanatory variables. Fish biomass, HSI and K were the most important biological factors, whereas temperature and organic matter were the most important abiotic factors. Variability in fish density suggests that HSI and K both could be used as an additional ecosystem indicator of environmental status (food availability) and fish population health. We also highlight the importance of using robust and flexible statistical methods to model fish population dynamics and the need to incorporate biological and environmental factors into fishery resource management.
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spelling Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS applicationAtlantic OceanDemersal fishHabitat conditionPopulation dynamicsThe hypothesis of this study was based on the premise that complex interactions between biological and environmental factors may explain variability in fish population dynamics. To test this, Paralonchurus brasiliensis (Sciaenidae), a keystone species associated with coastal waters, was used as a model fish species. Generalized Additive Models for Location, Scale and Shape were performed to evaluate relationships among biological and environmental variables. Fish biomass, repletion index (RI), hepatosomatic index (HSI), condition factor (K) and sex ratio was in models as biological factors whereas water temperature, salinity, organic matter, grain size and depth were included as environmental variables. The results revealed significant effects of biological and abiotic factors on population density of P. brasiliensis. The selected model explained 94% of the variability in the explanatory variables. Fish biomass, HSI and K were the most important biological factors, whereas temperature and organic matter were the most important abiotic factors. Variability in fish density suggests that HSI and K both could be used as an additional ecosystem indicator of environmental status (food availability) and fish population health. We also highlight the importance of using robust and flexible statistical methods to model fish population dynamics and the need to incorporate biological and environmental factors into fishery resource management.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Centre of Marine Sciences (CCMAR) University of Algarve, Campus de GambelasDepartment of Animal and Vegetal Biology Centre of Biological Sciences State University of LondrinaDepartment of Biology Ecology and Zoology Centre of Biosciences Federal University of Rio Grande do NorteDepartment of Zoology Institute of Biosciences State University “Júlio de Mesquita Filho”, São PauloDepartment of Biological Oceanography Institute of Oceanography University of São PauloDepartment of Zoology Institute of Biosciences State University “Júlio de Mesquita Filho”, São PauloCAPES: 7546/13-0University of AlgarveUniversidade Estadual de Londrina (UEL)Federal University of Rio Grande do NorteUniversidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Costa, Eudriano F.S.Teixeira, Gustavo M.Freire, Fúlvio A.M.Dias, June F.Fransozo, Adilson [UNESP]2022-05-01T16:48:42Z2022-05-01T16:48:42Z2022-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.seares.2022.102203Journal of Sea Research, v. 183.1385-1101http://hdl.handle.net/11449/23436910.1016/j.seares.2022.1022032-s2.0-85127847400Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Sea Researchinfo:eu-repo/semantics/openAccess2022-05-01T16:48:42Zoai:repositorio.unesp.br:11449/234369Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:48:00.051640Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS application
title Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS application
spellingShingle Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS application
Costa, Eudriano F.S.
Atlantic Ocean
Demersal fish
Habitat condition
Population dynamics
title_short Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS application
title_full Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS application
title_fullStr Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS application
title_full_unstemmed Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS application
title_sort Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS application
author Costa, Eudriano F.S.
author_facet Costa, Eudriano F.S.
Teixeira, Gustavo M.
Freire, Fúlvio A.M.
Dias, June F.
Fransozo, Adilson [UNESP]
author_role author
author2 Teixeira, Gustavo M.
Freire, Fúlvio A.M.
Dias, June F.
Fransozo, Adilson [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv University of Algarve
Universidade Estadual de Londrina (UEL)
Federal University of Rio Grande do Norte
Universidade Estadual Paulista (UNESP)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Costa, Eudriano F.S.
Teixeira, Gustavo M.
Freire, Fúlvio A.M.
Dias, June F.
Fransozo, Adilson [UNESP]
dc.subject.por.fl_str_mv Atlantic Ocean
Demersal fish
Habitat condition
Population dynamics
topic Atlantic Ocean
Demersal fish
Habitat condition
Population dynamics
description The hypothesis of this study was based on the premise that complex interactions between biological and environmental factors may explain variability in fish population dynamics. To test this, Paralonchurus brasiliensis (Sciaenidae), a keystone species associated with coastal waters, was used as a model fish species. Generalized Additive Models for Location, Scale and Shape were performed to evaluate relationships among biological and environmental variables. Fish biomass, repletion index (RI), hepatosomatic index (HSI), condition factor (K) and sex ratio was in models as biological factors whereas water temperature, salinity, organic matter, grain size and depth were included as environmental variables. The results revealed significant effects of biological and abiotic factors on population density of P. brasiliensis. The selected model explained 94% of the variability in the explanatory variables. Fish biomass, HSI and K were the most important biological factors, whereas temperature and organic matter were the most important abiotic factors. Variability in fish density suggests that HSI and K both could be used as an additional ecosystem indicator of environmental status (food availability) and fish population health. We also highlight the importance of using robust and flexible statistical methods to model fish population dynamics and the need to incorporate biological and environmental factors into fishery resource management.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-01T16:48:42Z
2022-05-01T16:48:42Z
2022-05-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.seares.2022.102203
Journal of Sea Research, v. 183.
1385-1101
http://hdl.handle.net/11449/234369
10.1016/j.seares.2022.102203
2-s2.0-85127847400
url http://dx.doi.org/10.1016/j.seares.2022.102203
http://hdl.handle.net/11449/234369
identifier_str_mv Journal of Sea Research, v. 183.
1385-1101
10.1016/j.seares.2022.102203
2-s2.0-85127847400
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Sea Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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