Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean

Autores
Suarez, Nicolas Marcelo; Yorio, Pablo Martin; Ciancio Blanc, Javier Ernesto
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Energy density was measured for key intertidal and subtidal crab species in the Southwestern Atlantic Ocean. Empirical models were developed to link energy density to water content (expressed as dry weight) and the fit to data was compared between different taxonomic and gender aggregations. Predictive power of models with different levels of aggregation and the effect of using a model of a surrogate species or group were also evaluated. Neohelice granulate (Dana, 1851) (3728 J/g wet weight) contained the highest energy density followed by Cyrtograpsus angulatus Rathbun, 1914 (3334 J/g wet weight), and C. altimanus Dana, 1851 (3042 J/g wet weight). Females (3645 J/g wet weight) showed higher energy density compared to males (3074 J/g wet weight). Dry weight of whole individuals provided good energy density predictions, with low predictive power when using species or same genus models (6.4-9.6% for the median error). Predictive power improved when more specific levels of taxonomic aggregation were employed. Interestingly, the two congeneric Cyrtograpsus did not differ in their energy density predictor model, suggesting a unique model could be used for this genus. This paper provides valuable inputs for bioenergetic modeling in coastal ecosystems in the Southwestern Atlantic.
Fil: Suarez, Nicolas Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Yorio, Pablo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Ciancio Blanc, Javier Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina. Wildlife Conservation Society; Estados Unidos
Materia
Crabs
Energy Density
Salt Marsh
Water Content
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/5395
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Energy density empirical predictor models for three coastal crab species in the southwestern atlantic oceanSuarez, Nicolas MarceloYorio, Pablo MartinCiancio Blanc, Javier ErnestoCrabsEnergy DensitySalt MarshWater Contenthttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Energy density was measured for key intertidal and subtidal crab species in the Southwestern Atlantic Ocean. Empirical models were developed to link energy density to water content (expressed as dry weight) and the fit to data was compared between different taxonomic and gender aggregations. Predictive power of models with different levels of aggregation and the effect of using a model of a surrogate species or group were also evaluated. Neohelice granulate (Dana, 1851) (3728 J/g wet weight) contained the highest energy density followed by Cyrtograpsus angulatus Rathbun, 1914 (3334 J/g wet weight), and C. altimanus Dana, 1851 (3042 J/g wet weight). Females (3645 J/g wet weight) showed higher energy density compared to males (3074 J/g wet weight). Dry weight of whole individuals provided good energy density predictions, with low predictive power when using species or same genus models (6.4-9.6% for the median error). Predictive power improved when more specific levels of taxonomic aggregation were employed. Interestingly, the two congeneric Cyrtograpsus did not differ in their energy density predictor model, suggesting a unique model could be used for this genus. This paper provides valuable inputs for bioenergetic modeling in coastal ecosystems in the Southwestern Atlantic.Fil: Suarez, Nicolas Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Yorio, Pablo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Ciancio Blanc, Javier Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina. Wildlife Conservation Society; Estados UnidosCrustacean Society2013-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/5395Suarez, Nicolas Marcelo; Yorio, Pablo Martin; Ciancio Blanc, Javier Ernesto; Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean; Crustacean Society; Journal of Crustacean Biology; 33; 5; 6-2013; 667-6710278-0372enginfo:eu-repo/semantics/altIdentifier/url/http://booksandjournals.brillonline.com/content/journals/1937240x/33/5info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:30Zoai:ri.conicet.gov.ar:11336/5395instacron: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:34982025-09-29 09:37:31.011CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean
title Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean
spellingShingle Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean
Suarez, Nicolas Marcelo
Crabs
Energy Density
Salt Marsh
Water Content
title_short Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean
title_full Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean
title_fullStr Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean
title_full_unstemmed Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean
title_sort Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean
dc.creator.none.fl_str_mv Suarez, Nicolas Marcelo
Yorio, Pablo Martin
Ciancio Blanc, Javier Ernesto
author Suarez, Nicolas Marcelo
author_facet Suarez, Nicolas Marcelo
Yorio, Pablo Martin
Ciancio Blanc, Javier Ernesto
author_role author
author2 Yorio, Pablo Martin
Ciancio Blanc, Javier Ernesto
author2_role author
author
dc.subject.none.fl_str_mv Crabs
Energy Density
Salt Marsh
Water Content
topic Crabs
Energy Density
Salt Marsh
Water Content
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Energy density was measured for key intertidal and subtidal crab species in the Southwestern Atlantic Ocean. Empirical models were developed to link energy density to water content (expressed as dry weight) and the fit to data was compared between different taxonomic and gender aggregations. Predictive power of models with different levels of aggregation and the effect of using a model of a surrogate species or group were also evaluated. Neohelice granulate (Dana, 1851) (3728 J/g wet weight) contained the highest energy density followed by Cyrtograpsus angulatus Rathbun, 1914 (3334 J/g wet weight), and C. altimanus Dana, 1851 (3042 J/g wet weight). Females (3645 J/g wet weight) showed higher energy density compared to males (3074 J/g wet weight). Dry weight of whole individuals provided good energy density predictions, with low predictive power when using species or same genus models (6.4-9.6% for the median error). Predictive power improved when more specific levels of taxonomic aggregation were employed. Interestingly, the two congeneric Cyrtograpsus did not differ in their energy density predictor model, suggesting a unique model could be used for this genus. This paper provides valuable inputs for bioenergetic modeling in coastal ecosystems in the Southwestern Atlantic.
Fil: Suarez, Nicolas Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Yorio, Pablo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Ciancio Blanc, Javier Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina. Wildlife Conservation Society; Estados Unidos
description Energy density was measured for key intertidal and subtidal crab species in the Southwestern Atlantic Ocean. Empirical models were developed to link energy density to water content (expressed as dry weight) and the fit to data was compared between different taxonomic and gender aggregations. Predictive power of models with different levels of aggregation and the effect of using a model of a surrogate species or group were also evaluated. Neohelice granulate (Dana, 1851) (3728 J/g wet weight) contained the highest energy density followed by Cyrtograpsus angulatus Rathbun, 1914 (3334 J/g wet weight), and C. altimanus Dana, 1851 (3042 J/g wet weight). Females (3645 J/g wet weight) showed higher energy density compared to males (3074 J/g wet weight). Dry weight of whole individuals provided good energy density predictions, with low predictive power when using species or same genus models (6.4-9.6% for the median error). Predictive power improved when more specific levels of taxonomic aggregation were employed. Interestingly, the two congeneric Cyrtograpsus did not differ in their energy density predictor model, suggesting a unique model could be used for this genus. This paper provides valuable inputs for bioenergetic modeling in coastal ecosystems in the Southwestern Atlantic.
publishDate 2013
dc.date.none.fl_str_mv 2013-06
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/11336/5395
Suarez, Nicolas Marcelo; Yorio, Pablo Martin; Ciancio Blanc, Javier Ernesto; Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean; Crustacean Society; Journal of Crustacean Biology; 33; 5; 6-2013; 667-671
0278-0372
url http://hdl.handle.net/11336/5395
identifier_str_mv Suarez, Nicolas Marcelo; Yorio, Pablo Martin; Ciancio Blanc, Javier Ernesto; Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean; Crustacean Society; Journal of Crustacean Biology; 33; 5; 6-2013; 667-671
0278-0372
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://booksandjournals.brillonline.com/content/journals/1937240x/33/5
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Crustacean Society
publisher.none.fl_str_mv Crustacean Society
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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score 13.070432

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