Stock separation of the shallow-water hake Merluccius capensis in the Benguela ecosystem using otolith shape analysis

  • E.N.G. Shoopala
  • M.R. Wilhelm
  • S.C. Paulus
Keywords: fishery management units, imaging techniques, otolith morphometrics, package ‘shapeR’, stock identification, stock  structure, wavelet method

Abstract

The fishing industry is an important economic sector in Namibia and South Africa, with the shallow-water hake Merluccius capensis being an important target species. Recent genetic studies of M. capensis found two stocks in the Benguela Current Large Marine Ecosystem, one in the north (17–29° S) and one in the south (29–36° S), and a proposed mixed stock in the Orange River area (around 29° S). The present study investigated the use of otolith shape analysis for purposes of stock-structure analysis of M. capensisMerluccius capensis otolith samples were collected during demersal-trawl surveys along the Benguela, for the years 1992, 2004 and 2005. Different years were selected to investigate temporal stability in otolith shape in the northern Benguela. A total of 1 628 otolith
images were analysed using the shapeR library in R. Otolith shape was analysed using wavelet transformation, and ANOVA-like permutation tests indicated no significant differences between the northern (17°31′–25°29′ S) and central (25°30′–29°05′ S) Benguela for all years but showed significant differences between the northern and southern (29°05′–35°50′ S) Benguela. This study therefore demonstrated that otolith shape could be used for stock discrimination of M. capensis. It confirmed one stock of M. capensis in the northern and central Benguela and another in the southern Benguela, which supports the current, separate management approach for this species. It also showed some differences in otolith shape from the 1990s to the 2000s, which could be explained by increased movement of the southern Benguela stock to the northern Benguela and increased hybridisation in the later years.

Keywords: fishery management units, imaging techniques, otolith morphometrics, package ‘shapeR’, stock identification, stock  structure, wavelet method

Published
2021-05-28
Section
Articles

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eISSN: 1814-2338
print ISSN: 1814-232X