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 M. de
Data de Publicação: 2013
Outros Autores: Gilbert,Eliandro R., Camargo,Maurício G. de, Pieper,Wagner W.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Zoologia (Curitiba. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702013000100007
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 BrazilCananeiakrigingmacrobenthicModeling 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.Sociedade Brasileira de Zoologia2013-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702013000100007Zoologia (Curitiba) v.30 n.1 2013reponame:Zoologia (Curitiba. Online)instname:Sociedade Brasileira de Zoologiainstacron:SBZ10.1590/S1984-46702013000100007info:eu-repo/semantics/openAccessSouza,Fernanda M. deGilbert,Eliandro R.Camargo,Maurício G. dePieper,Wagner W.eng2013-03-06T00:00:00Zoai:scielo:S1984-46702013000100007Revistahttp://www.scielo.br/zoolONGhttps://old.scielo.br/oai/scielo-oai.phpsbz@sbzoologia.org.br1984-46891984-4670opendoar:2013-03-06T00:00Zoologia (Curitiba. Online) - Sociedade Brasileira de Zoologiafalse
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 M. de
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 M. de
author_facet Souza,Fernanda M. de
Gilbert,Eliandro R.
Camargo,Maurício G. de
Pieper,Wagner W.
author_role author
author2 Gilbert,Eliandro R.
Camargo,Maurício G. de
Pieper,Wagner W.
author2_role author
author
author
dc.contributor.author.fl_str_mv Souza,Fernanda M. de
Gilbert,Eliandro R.
Camargo,Maurício G. de
Pieper,Wagner W.
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 2013-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702013000100007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702013000100007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1984-46702013000100007
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Zoologia
publisher.none.fl_str_mv Sociedade Brasileira de Zoologia
dc.source.none.fl_str_mv Zoologia (Curitiba) v.30 n.1 2013
reponame:Zoologia (Curitiba. Online)
instname:Sociedade Brasileira de Zoologia
instacron:SBZ
instname_str Sociedade Brasileira de Zoologia
instacron_str SBZ
institution SBZ
reponame_str Zoologia (Curitiba. Online)
collection Zoologia (Curitiba. Online)
repository.name.fl_str_mv Zoologia (Curitiba. Online) - Sociedade Brasileira de Zoologia
repository.mail.fl_str_mv sbz@sbzoologia.org.br
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