Modelling the influence of environmental and weather factors on the density of the invasive polychaete Boccardia proboscidea

The inter-tidal zone around sewage discharges in a Southwest Atlantic shore (Mar del Plata, Argentina) is currently colonized by extensive inter-tidal reefs of the invasive spionid Boccardia proboscidea. Understanding the links between both human and natural disturbances and the massive development...

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Publicado: 2016
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01739565_v37_n6_p1256_Garaffo
http://hdl.handle.net/20.500.12110/paper_01739565_v37_n6_p1256_Garaffo
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spelling paper:paper_01739565_v37_n6_p1256_Garaffo2023-06-08T15:18:50Z Modelling the influence of environmental and weather factors on the density of the invasive polychaete Boccardia proboscidea Boccardia proboscidea invasive species multimodel inference sewage-dependent process SW Atlantic Boccardia proboscidea Polychaeta Spionida The inter-tidal zone around sewage discharges in a Southwest Atlantic shore (Mar del Plata, Argentina) is currently colonized by extensive inter-tidal reefs of the invasive spionid Boccardia proboscidea. Understanding the links between both human and natural disturbances and the massive development of non-indigenous species will help prevent marine bioinvasions, which are already favoured by global oceanic trade. We present herein predictive models for variations in the density of B. proboscidea around sewage discharges of Mar del Plata, using environmental (pH, turbidity, temperature, salinity and total organic matter content), weather (wind direction and storm records), spatial (sites) and temporal (season and year) variables. Density variations were modelled by generalized linear models, and model averaging (multimodel inference) was used to obtain predicted values. The highest predicted values of B. proboscidea density occurred at sites to the south of the sewage effluent in spring. These sites are more affected by urban effluent discharges and they showed increased B. proboscidea density when the north wind was predominant. In addition, B. proboscidea density values were higher in sites with 20–22 °C (seawater temperature), high total organic matter content in sediments and low salinity. The averaged model was only a good ‘predictive model’ for sites to the north of the outfall, but was useful as an ‘explanatory model’ in all sites. Such predictions may help to back up conservation and management policies and decisions. © 2016 Blackwell Verlag GmbH 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01739565_v37_n6_p1256_Garaffo http://hdl.handle.net/20.500.12110/paper_01739565_v37_n6_p1256_Garaffo
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Boccardia proboscidea
invasive species
multimodel inference
sewage-dependent process
SW Atlantic
Boccardia proboscidea
Polychaeta
Spionida
spellingShingle Boccardia proboscidea
invasive species
multimodel inference
sewage-dependent process
SW Atlantic
Boccardia proboscidea
Polychaeta
Spionida
Modelling the influence of environmental and weather factors on the density of the invasive polychaete Boccardia proboscidea
topic_facet Boccardia proboscidea
invasive species
multimodel inference
sewage-dependent process
SW Atlantic
Boccardia proboscidea
Polychaeta
Spionida
description The inter-tidal zone around sewage discharges in a Southwest Atlantic shore (Mar del Plata, Argentina) is currently colonized by extensive inter-tidal reefs of the invasive spionid Boccardia proboscidea. Understanding the links between both human and natural disturbances and the massive development of non-indigenous species will help prevent marine bioinvasions, which are already favoured by global oceanic trade. We present herein predictive models for variations in the density of B. proboscidea around sewage discharges of Mar del Plata, using environmental (pH, turbidity, temperature, salinity and total organic matter content), weather (wind direction and storm records), spatial (sites) and temporal (season and year) variables. Density variations were modelled by generalized linear models, and model averaging (multimodel inference) was used to obtain predicted values. The highest predicted values of B. proboscidea density occurred at sites to the south of the sewage effluent in spring. These sites are more affected by urban effluent discharges and they showed increased B. proboscidea density when the north wind was predominant. In addition, B. proboscidea density values were higher in sites with 20–22 °C (seawater temperature), high total organic matter content in sediments and low salinity. The averaged model was only a good ‘predictive model’ for sites to the north of the outfall, but was useful as an ‘explanatory model’ in all sites. Such predictions may help to back up conservation and management policies and decisions. © 2016 Blackwell Verlag GmbH
title Modelling the influence of environmental and weather factors on the density of the invasive polychaete Boccardia proboscidea
title_short Modelling the influence of environmental and weather factors on the density of the invasive polychaete Boccardia proboscidea
title_full Modelling the influence of environmental and weather factors on the density of the invasive polychaete Boccardia proboscidea
title_fullStr Modelling the influence of environmental and weather factors on the density of the invasive polychaete Boccardia proboscidea
title_full_unstemmed Modelling the influence of environmental and weather factors on the density of the invasive polychaete Boccardia proboscidea
title_sort modelling the influence of environmental and weather factors on the density of the invasive polychaete boccardia proboscidea
publishDate 2016
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01739565_v37_n6_p1256_Garaffo
http://hdl.handle.net/20.500.12110/paper_01739565_v37_n6_p1256_Garaffo
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