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Abstract:

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. © 2011 Elsevier B.V.

Registro:

Documento: Artículo
Título:Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea
Autor:Di Mauro, R.; Cepeda, G.; Capitanio, F.; Viñas, M.D.
Filiación:Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP), Paseo Victoria Ocampo No. 1, Escollera Norte CP 7600 Mar del Plata, Argentina
Universidad de Buenos Aires (UBA), Facultad de Ciencias Exactas y Naturales, Intendente Güiraldes 2160, Ciudad Universitaria CP 1428EGA, Buenos Aires, Argentina
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Rivadavia 1917 - CP C1033AAJ, Buenos Aires, Argentina
Centro de Estudios de Biodiversidad, Biotecnología-Fundación para Investigaciones Biologicas Aplicadas (CEBB-MdP-FIBA), Vieytes 3103, Mar del Plata, Argentina
Universidad Nacional de Mar del Plata (UNMDP), Facultad de Ciencias Exactas y Naturales, Funes 3250, CP 7600, Mar del Plata, Argentina
Palabras clave:Biomass; Image analysis; Southwestern Atlantic; Zooplankton; abundance; algorithm; allometry; automation; biomass; body size; coastal zone; diameter; discriminant analysis; image analysis; performance assessment; sampling; volume; zooplankton; Argentine Sea; Atlantic Ocean; Atlantic Ocean (Southwest); Calanoida; Copepoda; Cyclopoida
Año:2011
Volumen:66
Número:2
Página de inicio:69
Página de fin:75
DOI: http://dx.doi.org/10.1016/j.seares.2011.04.013
Título revista:Journal of Sea Research
Título revista abreviado:J. Sea Res.
ISSN:13851101
CODEN:JSREF
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_13851101_v66_n2_p69_DiMauro

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Citas:

---------- APA ----------
Di Mauro, R., Cepeda, G., Capitanio, F. & Viñas, M.D. (2011) . Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea. Journal of Sea Research, 66(2), 69-75.
http://dx.doi.org/10.1016/j.seares.2011.04.013
---------- CHICAGO ----------
Di Mauro, R., Cepeda, G., Capitanio, F., Viñas, M.D. "Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea" . Journal of Sea Research 66, no. 2 (2011) : 69-75.
http://dx.doi.org/10.1016/j.seares.2011.04.013
---------- MLA ----------
Di Mauro, R., Cepeda, G., Capitanio, F., Viñas, M.D. "Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea" . Journal of Sea Research, vol. 66, no. 2, 2011, pp. 69-75.
http://dx.doi.org/10.1016/j.seares.2011.04.013
---------- VANCOUVER ----------
Di Mauro, R., Cepeda, G., Capitanio, F., Viñas, M.D. Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea. J. Sea Res. 2011;66(2):69-75.
http://dx.doi.org/10.1016/j.seares.2011.04.013