Discrimination and prediction of three tropical mackerel species based on otolith morphometrics — ASN Events

Discrimination and prediction of three tropical mackerel species based on otolith morphometrics (18869)

Lenore Litherland 1 , Ben Tilyard 2 , Mitchell Zischke 1
  1. Department of Agriculture and Fisheries, Cairns, QLD, Australia
  2. University of Queensland, Brisbane, QLD

Fisheries Queensland conducts a comprehensive program to monitor and assess the status of key fishery resources in Queensland waters. One element of this program involves routine fishery dependant sampling to collect otoliths (sagittae) for fish ageing. Fish samples obtained by Fisheries Queensland are generally filleted and, for large species like mackerel, often consist of an incomplete skeleton. As such, standard morphological characteristics required for accurate species identification can be absent. Otoliths have been shown to exhibit morphological characteristics that can provide an alternative mechanism for discriminating between species. This project assessed the feasibility of using otolith morphometrics to distinguish between three species, Scomberomorus munroi (spotted mackerel), S. commerson (Spanish mackerel) and S. semifasciatus (grey mackerel). Seven morphometric measurements were quantified. One-way ANOVA suggested a significant difference in all otolith morphometric measurements between species, with the exception of otolith area between spotted and grey mackerel (p = 0.36). A non-metric multidimensional scaling (nMDS) plot and analysis of similarity (ANOSIM) suggested that the three mackerel species differed significantly when using five morphometric measurements. Using a multinomial generalized linear model (GLM), these morphometric measurements had a predictive success between 91- 99 %, depending on the accepted probability threshold. These findings indicate that otolith morphology may be a useful mechanism for discriminating between some mackerel species.  

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