Discriminating bluemouth, Helicolenus dactylopterus (Pisces: Sebastidae), stocks in Portuguese waters by means of otolith shape analysis

Author(s):  
Ana Neves ◽  
Vera Sequeira ◽  
Inês Farias ◽  
Ana Rita Vieira ◽  
Rafaela Paiva ◽  
...  

The understanding of the stock structure of a species is essential to effectively manage fisheries. Otolith shape analysis has been successfully applied in stock identification using the elliptic Fourier analysis. This method was used to assess possible differences in the otolith shape of Helicolenus dactylopterus caught around the Azores, Madeira and mainland Portugal. A total of 294 individuals ranging from 23 to 29 cm in total length, equally distributed by sex and area, were analysed. The multivariate analysis of variance performed on the otolith normalized elliptic Fourier descriptors (NEFDs) revealed significant differences for both area and sex, but no interaction was found between the two factors. In the canonical discriminant analysis an overall classification success of 69.4% and 66.7% was achieved for females and males respectively. These results suggest the usefulness of otolith shape analysis for stock differentiation of bluemouth from Portuguese waters.

2016 ◽  
Vol 89 (4) ◽  
pp. 2153-2166 ◽  
Author(s):  
M. Bacha ◽  
A. M. Jeyid ◽  
S. Jaafour ◽  
A. Yahyaoui ◽  
M. Diop ◽  
...  

2014 ◽  
Vol 112 (4) ◽  
pp. 326-338 ◽  
Author(s):  
Stephen R. Midway ◽  
Steven X. Cadrin ◽  
Frederick S. Scharf

2016 ◽  
Vol 73 (9) ◽  
pp. 1363-1371 ◽  
Author(s):  
Kélig Mahe ◽  
Clémence Oudard ◽  
Tiphaine Mille ◽  
James Keating ◽  
Patricia Gonçalves ◽  
...  

Information on stock identification and spatial stock structure provide a basis for understanding fish population dynamics and improving fisheries management. In this study, otolith shape analysis was used to study the stock structure of blue whiting (Micromesistius poutassou) in the northeast Atlantic using 1693 samples from mature fish collected between 37°N and 75°N and 20°W and 25°E. The results indicated two stocks located north and south of ICES Divisions VIa and VIb (54°5N to 60°5N, 4°W to 11°W). The central area corresponds to the spawning area west of Scotland. Sampling year effects and misclassification in the linear discriminant analysis suggested exchanges between the northern and southern stocks. The results corroborate previous studies indicating a structuring of the blue whiting stock into two stocks, with some degree of mixing in the central overlap area.


2021 ◽  
Vol 243 ◽  
pp. 106050
Author(s):  
João Neves ◽  
Alexandra Almeida Silva ◽  
Ana Moreno ◽  
Ana Veríssimo ◽  
António Múrias Santos ◽  
...  

2019 ◽  
Vol 95 (2) ◽  
pp. 444-452
Author(s):  
Bernadette Bounket ◽  
Pierre Gibert ◽  
Vincent Gennotte ◽  
Christine Argillier ◽  
Georges Carrel ◽  
...  

2019 ◽  
Vol 70 (12) ◽  
pp. 1818 ◽  
Author(s):  
Yu-Jia Lin ◽  
Khaled Al-Abdulkader

Otolith shape analysis was used to identify 16 fish species belong to 5 families from the western Arabian Gulf to construct a cost-effective method of delineating fish taxonomic groups. We further tested the factors potentially affecting the identification process, including using different dataset sources, sex, the number of candidate species, different sample sizes and different sampling procedures. No specific dataset outperformed any other in the identification of fish families and species. Using all data sources yielded the best performance. Otolith shape parameters were significantly affected by somatic length, but not by sex. The correct prediction rate declined as the number of candidate species increased. An insufficient sample size led to a reduction in correct prediction rates with increased variability. The effects of size-biased sampling were species specific and could greatly reduce the correct prediction rate if the species of interest exhibits strong allometric changes in otolith shape. Having multiple sources of data, information a priori to reduce the number of candidate species and sufficiently large sample sizes across wide size classes so as to include possible variations in otolith shape are key to the precise identification of fish families and species using otolith shape analysis.


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