Detecting Mugil curema (Perciformes: Mugilidae) phenotypic stocks in La Paz Bay, Baja California Sur, Mexico, using geometric morphometrics of otolith shape, growth, and reproductive parameters

Autores/as

  • Luis Salgado-Cruz Instituto Politécnico Nacional Centro Interdisciplinario de Ciencias Marinas
  • Casimiro Quiñonez-Velázquez Instituto Politécnico Nacional Centro Interdisciplinario de Ciencias Marinas http://orcid.org/0000-0001-8270-6688
  • Federico A. García-Domínguez Instituto Politécnico Nacional Centro Interdisciplinario de Ciencias Marinas
  • Carlos I. Pérez-Quiñonez Instituto Politécnico Nacional Centro Interdisciplinario de Ciencias Marinas

DOI:

https://doi.org/10.22201/ib.20078706e.2020.91.3273

Palabras clave:

Population structure, Fishing stock, Multi-model approach, Individual growth, Reproductive pattern

Resumen

In a holistic approach it is important to identify potential fishing units to better understand population structure and dynamics. The objective of this work was to evaluate the potential existence of a Mugil curema population structured in stocks in La Paz Bay. For this, a total of 709 specimens were collected between 2010 and 2013. Two fish groups
were identified (G1, n = 212, and G2, n = 178), and the otolith shape was compared using geometric morphometrics, L50% was estimated, age was assigned, and a multi-model approach was used to evaluate individual growth. Eight age groups were assigned for G1 (3-10) and 5 for G2 (3-7). The most adequate model to describe growth for both
groups was the von Bertalanffy growth model (G1: L∞ = 421.77, k= 0.32, t0 = -0.05; G2: L∞ = 406.5, k = 0.36, t0 = -0.02). Differences in otolith shape and growth parameters between groups were significant; opposite, L50% estimates (G1 = 325 mm LT; G2 = 330 mm LT) were not significant. Results suggest the presence of a M. curema population structured in at least 2 stocks in La Paz Bay: one stock reproduces in Spring (G1) and the other in the Fall (G2).

Citas

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2020-10-02

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MANEJO Y APROVECHAMIENTO DE RECURSOS