scholarly journals Population structure of European sprat (Sprattus sprattus) in the Greater North Sea ecoregion revealed by otolith shape analysis

2022 ◽  
Vol 245 ◽  
pp. 106131
Author(s):  
Francesco Saltalamacchia ◽  
Florian Berg ◽  
Michele Casini ◽  
Julie Coad Davies ◽  
Valerio Bartolino
2021 ◽  
Vol 243 ◽  
pp. 106050
Author(s):  
João Neves ◽  
Alexandra Almeida Silva ◽  
Ana Moreno ◽  
Ana Veríssimo ◽  
António Múrias Santos ◽  
...  

2014 ◽  
Vol 71 (9) ◽  
pp. 2429-2435 ◽  
Author(s):  
Mahmoud Bacha ◽  
Sherif Jemaa ◽  
Azzedine Hamitouche ◽  
Khalef Rabhi ◽  
Rachid Amara

Abstract Understanding the influence of oceanographic features on the structure of fish population is of basic importance to population dynamics studies and fisheries management. The European anchovy (Engraulis encrasicolus) exhibits a complex population structure which has produced conflicting results in previous genetic studies. This study examines the variability in the shape of the anchovy's otolith as a tool for identifying different stocks, and investigates the effects of oceanographic features on population structure. Anchovies were analysed from seven locations in the SW Mediterranean Sea and Atlantic Ocean along the northwestern African (Morocco) and Portuguese (Bay of Cadiz) coasts. A combination of otolith shape indices and elliptic Fourier descriptors were investigated by multivariate statistical procedures. Within the studied area, three distinct anchovy stocks were identified: the Algero-Provençal Basin, the southern Alboran Sea, and the Atlantic Ocean (Morocco and Gulf of Cadiz). The separation of the stocks was based on non-parametric discriminant analysis returning a classification percentage. Over 81% of the separation of the stocks could be explained by oceanographic features. Shape variability of anchovy otoliths was associated with the presence of the Almeria-Oran front, and the strait of Gibraltar. The Alboran stock was distinct from the Algero-Provençal Basin and from the closest Atlantic stocks (Gulf of Cadiz or Atlantic coast of Morocco). Results are discussed and compared with those previously obtained by genetic studies. This study supports the efficiency of otolith shape analysis for the stock identification of anchovy, and highlights the role of oceanographic features in stock separation.


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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