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

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...

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Bibliographic Details
Published in:Journal of sea research 2011-08, Vol.66 (2), p.69-75
Main Authors: Di Mauro, R., Cepeda, G., Capitanio, F., Viñas, M.D.
Format: Article
Language:English
Subjects:
Abundance
algorithms
allometry
Automated
Biomass
Categories
Copepoda
Discriminant analysis
equations
Equivalence
Image analysis
Marine
Mathematical analysis
Shelves
Southwestern Atlantic
Zooplankton
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Summary: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. ► We compared two methods for copepod counting and biovolume calculation. ► ZooImage settings were adjusted with new parameters to obtain copepods biovolume. ► Automatic results demonstrated reliable abundance and biovolume estimations.
ISSN:1385-1101
1873-1414
DOI:10.1016/j.seares.2011.04.013