Artículo
Energy density empirical predictor models for three coastal crab species in the southwestern atlantic ocean
Fecha de publicación:
06/2013
Editorial:
Crustacean Society
Revista:
Journal of Crustacean Biology
ISSN:
0278-0372
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
Crabs
,
Energy Density
,
Salt Marsh
,
Water Content
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(CCT-CENPAT)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CENPAT
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CENPAT
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
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
Compartir