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Mixed-stock and discriminant models use for assessing recruitment sources of estuarine fish populations in La Plata Basin (South America)

Published online by Cambridge University Press:  20 March 2019

Esteban Avigliano ,
Jorge Pisonero ,
Nerea Bordel ,
Alejandro Dománico  and
Alejandra Vanina Volpedo
Esteban Avigliano*
Affiliation:
Universidad de Buenos Aires (UBA)-CONICET, Instituto de Investigaciones en Producción Animal (INPA), Facultad de Ciencias Veterinarias, Av. Chorroarín 280, C1427CWO Buenos Aires, Argentina
Jorge Pisonero
Affiliation:
Departamento de Física, Facultad de Ciencias, Universidad de Oviedo, Federico García Lorca, no. 18, 33007 Oviedo, Spain
Nerea Bordel
Affiliation:
Departamento de Física, Facultad de Ciencias, Universidad de Oviedo, Federico García Lorca, no. 18, 33007 Oviedo, Spain
Alejandro Dománico
Affiliation:
Comisión de Investigaciones Científicas (CIC), Calle 526 s/n, 1900 La Plata, Buenos Aires, Argentina Laboratoriode la Dirección de Pesca Continental, Subsecretaría de Pesca y Acuicultura, Ministerio de Agroindustria, Alférez Pareja 125, C1107BJD Buenos Aires, Argentina
Alejandra Vanina Volpedo
Affiliation:
Universidad de Buenos Aires (UBA)-CONICET, Instituto de Investigaciones en Producción Animal (INPA), Facultad de Ciencias Veterinarias, Av. Chorroarín 280, C1427CWO Buenos Aires, Argentina
*
Author for correspondence: Esteban Avigliano, E-mail: [email protected]
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Abstract

The objective of this study was to identify potential recruitment sources of Prochilodus lineatus from freshwater areas (Paraná and Uruguay rivers) to estuarine population of the Río de la Plata Estuary (La Plata Basin, South America), considering young (age-1) and adult (age-7) fish. LA-ICP-MS chemical analysis of the otolith core (nine element:Ca ratios) of an unknown mixed sample from Río de la Plata Estuary (2011 and 2017) was compared with a young-of-year baseline data set (same cohort) and classified into freshwater nurseries (Paraná or Uruguay river) by using maximum classification-likelihood models (MLE and MCL) and quadratic discriminant analysis (QDA). Considering the three models used, the Uruguay River was the most important contributor for both young and adult populations. The young population (2011) was highly mixed with contributions between 31.7 to 68.3%, while the degree of mixing was found to decrease in 2017 (adult fish) from 97.1 to 100% contributions. The three employed methods showed comparable estimates, however, the QDA showed a high similarity with the MCL model, suggesting sensitivity to evaluate small contributions, unlike the MLE method. Our results show the potential application of maximum likelihood mixture models and QDA for determining the relative importance of recruitment sources of fish in estuarine waters of the La Plata Basin.

Keywords

LA-ICP-MSmaximum likelihoodotolith microchemistryquadratic discriminantrecruitmentstock composition
Type
Research Article
Information
Journal of the Marine Biological Association of the United Kingdom , Volume 99 , Issue 6 , September 2019 , pp. 1429 - 1433
Copyright
Copyright © Marine Biological Association of the United Kingdom 2019 

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