Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea

Autores
Di Mauro, Rosana Patricia; Cepeda, Georgina Daniela; Capitanio, Fabiana Lia; Viñas, Maria Delia
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A total of 46 samples from coastal and shelf sectors from the northern Argentine Sea (34°-41° S) were digitized to compare the performance of the new ZooImage analysis method for copepod abundance and biovolume estimations. A training set of 1437 objects were used for automatic discrimination using a Random Forest algorithm with a general accuracy of 83.92%. A total of 11 taxa were automatically classified. Copepods were divided in three categories: Large calanoids, small calanoids and cyclopoids and identified with an accuracy of 83.15%, 79.5% and 85.7% respectively. The discriminant analysis revealed both the equivalent circular diameter (ECD) and the area were the best variables to differentiate the three copepod categories. Samples were previously quantified by optical methods in order to compare with automated results. Automated copepod biovolume measurements were estimated from individual calculations applying new ZooImage allometric parameters, and were compared with manual calculations using specific size/biovolume equations. It was demonstrated that ZooImage can potentially be used as a tool for abundance and biovolume estimations of calanoid and cyclopoid copepods and allow us to obtain results more rapidly by reducing the time lag involved using traditional measuring methods.
Fil: Di Mauro, Rosana Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo Pesquero; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Cepeda, Georgina Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo Pesquero; Argentina. Universidad Maimónides. Área de Investigaciones Biomédicas y Biotecnológicas. Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y de Diagnóstico; Argentina. Fundación para Investigaciones Biológicas Aplicadas; Argentina
Fil: Capitanio, Fabiana Lia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Biodiversidad y Biología Experimental y Aplicada. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Biodiversidad y Biología Experimental y Aplicada; Argentina
Fil: Viñas, Maria Delia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo Pesquero; Argentina. Universidad Nacional de Mar del Plata; Argentina
Materia
ZOOPLANKTON
IMAGE ANALYSIS
SOUTHWESTERN ATLANTIC
BIOMASS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/127520
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine SeaDi Mauro, Rosana PatriciaCepeda, Georgina DanielaCapitanio, Fabiana LiaViñas, Maria DeliaZOOPLANKTONIMAGE ANALYSISSOUTHWESTERN ATLANTICBIOMASShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1A total of 46 samples from coastal and shelf sectors from the northern Argentine Sea (34°-41° S) were digitized to compare the performance of the new ZooImage analysis method for copepod abundance and biovolume estimations. A training set of 1437 objects were used for automatic discrimination using a Random Forest algorithm with a general accuracy of 83.92%. A total of 11 taxa were automatically classified. Copepods were divided in three categories: Large calanoids, small calanoids and cyclopoids and identified with an accuracy of 83.15%, 79.5% and 85.7% respectively. The discriminant analysis revealed both the equivalent circular diameter (ECD) and the area were the best variables to differentiate the three copepod categories. Samples were previously quantified by optical methods in order to compare with automated results. Automated copepod biovolume measurements were estimated from individual calculations applying new ZooImage allometric parameters, and were compared with manual calculations using specific size/biovolume equations. It was demonstrated that ZooImage can potentially be used as a tool for abundance and biovolume estimations of calanoid and cyclopoid copepods and allow us to obtain results more rapidly by reducing the time lag involved using traditional measuring methods.Fil: Di Mauro, Rosana Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo Pesquero; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Cepeda, Georgina Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo Pesquero; Argentina. Universidad Maimónides. Área de Investigaciones Biomédicas y Biotecnológicas. Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y de Diagnóstico; Argentina. Fundación para Investigaciones Biológicas Aplicadas; ArgentinaFil: Capitanio, Fabiana Lia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Biodiversidad y Biología Experimental y Aplicada. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Biodiversidad y Biología Experimental y Aplicada; ArgentinaFil: Viñas, Maria Delia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo Pesquero; Argentina. Universidad Nacional de Mar del Plata; ArgentinaElsevier Science2011-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/127520Di Mauro, Rosana Patricia; Cepeda, Georgina Daniela; Capitanio, Fabiana Lia; Viñas, Maria Delia; Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea; Elsevier Science; Journal of Sea Research; 66; 2; 5-2011; 69-751385-1101CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.seares.2011.04.013info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1385110111000505?via%3Dihubinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:04:39Zoai:ri.conicet.gov.ar:11336/127520instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:04:39.868CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea
title Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea
spellingShingle Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea
Di Mauro, Rosana Patricia
ZOOPLANKTON
IMAGE ANALYSIS
SOUTHWESTERN ATLANTIC
BIOMASS
title_short Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea
title_full Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea
title_fullStr Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea
title_full_unstemmed Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea
title_sort Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea
dc.creator.none.fl_str_mv Di Mauro, Rosana Patricia
Cepeda, Georgina Daniela
Capitanio, Fabiana Lia
Viñas, Maria Delia
author Di Mauro, Rosana Patricia
author_facet Di Mauro, Rosana Patricia
Cepeda, Georgina Daniela
Capitanio, Fabiana Lia
Viñas, Maria Delia
author_role author
author2 Cepeda, Georgina Daniela
Capitanio, Fabiana Lia
Viñas, Maria Delia
author2_role author
author
author
dc.subject.none.fl_str_mv ZOOPLANKTON
IMAGE ANALYSIS
SOUTHWESTERN ATLANTIC
BIOMASS
topic ZOOPLANKTON
IMAGE ANALYSIS
SOUTHWESTERN ATLANTIC
BIOMASS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A total of 46 samples from coastal and shelf sectors from the northern Argentine Sea (34°-41° S) were digitized to compare the performance of the new ZooImage analysis method for copepod abundance and biovolume estimations. A training set of 1437 objects were used for automatic discrimination using a Random Forest algorithm with a general accuracy of 83.92%. A total of 11 taxa were automatically classified. Copepods were divided in three categories: Large calanoids, small calanoids and cyclopoids and identified with an accuracy of 83.15%, 79.5% and 85.7% respectively. The discriminant analysis revealed both the equivalent circular diameter (ECD) and the area were the best variables to differentiate the three copepod categories. Samples were previously quantified by optical methods in order to compare with automated results. Automated copepod biovolume measurements were estimated from individual calculations applying new ZooImage allometric parameters, and were compared with manual calculations using specific size/biovolume equations. It was demonstrated that ZooImage can potentially be used as a tool for abundance and biovolume estimations of calanoid and cyclopoid copepods and allow us to obtain results more rapidly by reducing the time lag involved using traditional measuring methods.
Fil: Di Mauro, Rosana Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo Pesquero; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Cepeda, Georgina Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo Pesquero; Argentina. Universidad Maimónides. Área de Investigaciones Biomédicas y Biotecnológicas. Centro de Estudios Biomédicos, Biotecnológicos, Ambientales y de Diagnóstico; Argentina. Fundación para Investigaciones Biológicas Aplicadas; Argentina
Fil: Capitanio, Fabiana Lia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Biodiversidad y Biología Experimental y Aplicada. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Biodiversidad y Biología Experimental y Aplicada; Argentina
Fil: Viñas, Maria Delia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo Pesquero; Argentina. Universidad Nacional de Mar del Plata; Argentina
description A total of 46 samples from coastal and shelf sectors from the northern Argentine Sea (34°-41° S) were digitized to compare the performance of the new ZooImage analysis method for copepod abundance and biovolume estimations. A training set of 1437 objects were used for automatic discrimination using a Random Forest algorithm with a general accuracy of 83.92%. A total of 11 taxa were automatically classified. Copepods were divided in three categories: Large calanoids, small calanoids and cyclopoids and identified with an accuracy of 83.15%, 79.5% and 85.7% respectively. The discriminant analysis revealed both the equivalent circular diameter (ECD) and the area were the best variables to differentiate the three copepod categories. Samples were previously quantified by optical methods in order to compare with automated results. Automated copepod biovolume measurements were estimated from individual calculations applying new ZooImage allometric parameters, and were compared with manual calculations using specific size/biovolume equations. It was demonstrated that ZooImage can potentially be used as a tool for abundance and biovolume estimations of calanoid and cyclopoid copepods and allow us to obtain results more rapidly by reducing the time lag involved using traditional measuring methods.
publishDate 2011
dc.date.none.fl_str_mv 2011-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/127520
Di Mauro, Rosana Patricia; Cepeda, Georgina Daniela; Capitanio, Fabiana Lia; Viñas, Maria Delia; Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea; Elsevier Science; Journal of Sea Research; 66; 2; 5-2011; 69-75
1385-1101
CONICET Digital
CONICET
url http://hdl.handle.net/11336/127520
identifier_str_mv Di Mauro, Rosana Patricia; Cepeda, Georgina Daniela; Capitanio, Fabiana Lia; Viñas, Maria Delia; Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea; Elsevier Science; Journal of Sea Research; 66; 2; 5-2011; 69-75
1385-1101
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.seares.2011.04.013
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1385110111000505?via%3Dihub
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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