The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil.

Detalhes bibliográficos
Autor(a) principal: Souza, Fernanda Maria
Data de Publicação: 2013
Outros Autores: Gilbert, Eliandro ronael, Camargo, Maurício Garcia de, Pieper, Wagner Westplalen
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FURG (RI FURG)
Texto Completo: http://repositorio.furg.br/handle/1/5705
Resumo: Modeling the distribution patterns of the estuarine macrobenthic community has revealed itself as a difficult task due to spatio-temporal heterogeneity. This study uses ordinary kriging and Poisson modeling to generate distribution maps of the subtidal benthic macrofauna in the Trapandé Bay (southeastern Brazil). Samples were taken in duplicate from 36 locations distributed along nine transects perpendicular to the main estuarine axis in October 2006 and March 2007. One-hundred and seventy taxa belonging to 12 phyla, were identified, with dominance of Annelida Polychaeta. Distribution maps were prepared to illustrate the total density, the number of species and the six most numerous taxa, as well as abiotic parameters. The general distribution pattern has revealed that the greatest number of species and the highest densities are at the estuary mouth, decreasing towards its inner areas. However the temporal and spatial changes observed at the estuary mouth have clearly shown the impact of environmental variations such as nutrients and freshwater input, attributed to increased rainfall in March. The increased flow in the Cananeia Sea, coming from the drainage basin, produces major changes in sediment and faunal composition. Ordinary kriging associated with Poisson modeling has proved to be a powerful and promising tool for modeling the macrofauna, despite the fact that it is not frequently used due to the scarcity of appropriate software.
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spelling The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil.CananeiaKrigingMacrobenthicModeling the distribution patterns of the estuarine macrobenthic community has revealed itself as a difficult task due to spatio-temporal heterogeneity. This study uses ordinary kriging and Poisson modeling to generate distribution maps of the subtidal benthic macrofauna in the Trapandé Bay (southeastern Brazil). Samples were taken in duplicate from 36 locations distributed along nine transects perpendicular to the main estuarine axis in October 2006 and March 2007. One-hundred and seventy taxa belonging to 12 phyla, were identified, with dominance of Annelida Polychaeta. Distribution maps were prepared to illustrate the total density, the number of species and the six most numerous taxa, as well as abiotic parameters. The general distribution pattern has revealed that the greatest number of species and the highest densities are at the estuary mouth, decreasing towards its inner areas. However the temporal and spatial changes observed at the estuary mouth have clearly shown the impact of environmental variations such as nutrients and freshwater input, attributed to increased rainfall in March. The increased flow in the Cananeia Sea, coming from the drainage basin, produces major changes in sediment and faunal composition. Ordinary kriging associated with Poisson modeling has proved to be a powerful and promising tool for modeling the macrofauna, despite the fact that it is not frequently used due to the scarcity of appropriate software.2015-12-26T15:55:36Z2015-12-26T15:55:36Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSOUZA, Fernanda Maria; GILBERT, Eliandro ronael; CAMARGO, Maurício Garcia de; PIEPER, Wagner Westplalen. The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil. Zoologia: : an international journal for zoology, v. 30, n 1, p. 55-65, 2013. Disponivel me: <http://www.scielo.br/pdf/zool/v30n1/07.pdf> Acesso em: 22 dez 2015.1984-4670http://repositorio.furg.br/handle/1/570510.1590/S1984-46702013000100007engSouza, Fernanda MariaGilbert, Eliandro ronaelCamargo, Maurício Garcia dePieper, Wagner Westplaleninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURG2015-12-26T15:55:36Zoai:repositorio.furg.br:1/5705Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2015-12-26T15:55:36Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil.
title The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil.
spellingShingle The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil.
Souza, Fernanda Maria
Cananeia
Kriging
Macrobenthic
title_short The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil.
title_full The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil.
title_fullStr The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil.
title_full_unstemmed The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil.
title_sort The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil.
author Souza, Fernanda Maria
author_facet Souza, Fernanda Maria
Gilbert, Eliandro ronael
Camargo, Maurício Garcia de
Pieper, Wagner Westplalen
author_role author
author2 Gilbert, Eliandro ronael
Camargo, Maurício Garcia de
Pieper, Wagner Westplalen
author2_role author
author
author
dc.contributor.author.fl_str_mv Souza, Fernanda Maria
Gilbert, Eliandro ronael
Camargo, Maurício Garcia de
Pieper, Wagner Westplalen
dc.subject.por.fl_str_mv Cananeia
Kriging
Macrobenthic
topic Cananeia
Kriging
Macrobenthic
description Modeling the distribution patterns of the estuarine macrobenthic community has revealed itself as a difficult task due to spatio-temporal heterogeneity. This study uses ordinary kriging and Poisson modeling to generate distribution maps of the subtidal benthic macrofauna in the Trapandé Bay (southeastern Brazil). Samples were taken in duplicate from 36 locations distributed along nine transects perpendicular to the main estuarine axis in October 2006 and March 2007. One-hundred and seventy taxa belonging to 12 phyla, were identified, with dominance of Annelida Polychaeta. Distribution maps were prepared to illustrate the total density, the number of species and the six most numerous taxa, as well as abiotic parameters. The general distribution pattern has revealed that the greatest number of species and the highest densities are at the estuary mouth, decreasing towards its inner areas. However the temporal and spatial changes observed at the estuary mouth have clearly shown the impact of environmental variations such as nutrients and freshwater input, attributed to increased rainfall in March. The increased flow in the Cananeia Sea, coming from the drainage basin, produces major changes in sediment and faunal composition. Ordinary kriging associated with Poisson modeling has proved to be a powerful and promising tool for modeling the macrofauna, despite the fact that it is not frequently used due to the scarcity of appropriate software.
publishDate 2013
dc.date.none.fl_str_mv 2013
2015-12-26T15:55:36Z
2015-12-26T15:55:36Z
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 SOUZA, Fernanda Maria; GILBERT, Eliandro ronael; CAMARGO, Maurício Garcia de; PIEPER, Wagner Westplalen. The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil. Zoologia: : an international journal for zoology, v. 30, n 1, p. 55-65, 2013. Disponivel me: <http://www.scielo.br/pdf/zool/v30n1/07.pdf> Acesso em: 22 dez 2015.
1984-4670
http://repositorio.furg.br/handle/1/5705
10.1590/S1984-46702013000100007
identifier_str_mv SOUZA, Fernanda Maria; GILBERT, Eliandro ronael; CAMARGO, Maurício Garcia de; PIEPER, Wagner Westplalen. The spatial distribution of the subtidal benthic macrofauna and its relationship with environmental factors using geostatistical tools: a case study in Trapandé Bay, southern Brazil. Zoologia: : an international journal for zoology, v. 30, n 1, p. 55-65, 2013. Disponivel me: <http://www.scielo.br/pdf/zool/v30n1/07.pdf> Acesso em: 22 dez 2015.
1984-4670
10.1590/S1984-46702013000100007
url http://repositorio.furg.br/handle/1/5705
dc.language.iso.fl_str_mv eng
language eng
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dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da FURG (RI FURG)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
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reponame_str Repositório Institucional da FURG (RI FURG)
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repository.name.fl_str_mv Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)
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