scholarly journals Trends in Atlantic Contribution to Mixed-Stock King Mackerel Landings in South Florida Inferred from Otolith Shape Analysis

2010 ◽  
Vol 2 (1) ◽  
pp. 195-204 ◽  
Author(s):  
Katherine E. Shepard ◽  
William F. Patterson ◽  
Douglas A. De Vries
Keyword(s):  
Shape Analysis ◽  
South Florida ◽  
Otolith Shape ◽  
Otolith Shape Analysis ◽  
King Mackerel ◽  
Mixed Stock

Population structure of the European sardine Sardina pilchardus from Atlantic and Mediterranean waters based on otolith shape analysis

2021 ◽  
Vol 243 ◽  
pp. 106050
Author(s):  
João Neves ◽  
Alexandra Almeida Silva ◽  
Ana Moreno ◽  
Ana Veríssimo ◽  
António Múrias Santos ◽  
...  
Keyword(s):  
Population Structure ◽  
Shape Analysis ◽  
Sardina Pilchardus ◽  
Otolith Shape ◽  
Otolith Shape Analysis

Otolith shape analysis and daily increment validation during ontogeny of larval and juvenile European chub Squalius cephalus

2019 ◽  
Vol 95 (2) ◽  
pp. 444-452
Author(s):  
Bernadette Bounket ◽  
Pierre Gibert ◽  
Vincent Gennotte ◽  
Christine Argillier ◽  
Georges Carrel ◽  
...  
Keyword(s):  
Shape Analysis ◽  
Otolith Shape ◽  
Otolith Shape Analysis ◽  
Daily Increment ◽  
European Chub ◽  
Squalius Cephalus

scholarly journals Identification of fish families and species from the western Arabian Gulf by otolith shape analysis and factors affecting the identification process

2019 ◽  
Vol 70 (12) ◽  
pp. 1818 ◽  
Author(s):  
Yu-Jia Lin ◽  
Khaled Al-Abdulkader
Keyword(s):  
Shape Analysis ◽  
Arabian Gulf ◽  
Correct Prediction ◽  
Sample Sizes ◽  
Otolith Shape ◽  
Otolith Shape Analysis ◽  
Identification Process ◽  
Prediction Rate ◽  
Candidate Species ◽  
Sampling Procedures

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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