Effects of biological and environmental factors on the variability of Paralonchurus brasiliensis (Sciaenidae) density: An GAMLSS application
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1808128981494398976 |