Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/112587
Título: Thinking of fish population discrimination: population average phenotype vs. population phenotypes
Autores/as: Vasconcelos, Joana 
Jurado-Ruzafa, Alba
Otero-Ferrer, José Luis
Lombarte, Antoni
Riera, Rodrigo 
Tuset, Víctor M.
Clasificación UNESCO: 310503 Localización de peces
3105 Peces y fauna silvestre
Palabras clave: Medium pelagic fish
North and Central East Atlantic
Otolith contour analysis
Stocks
Wavelets
Fecha de publicación: 2021
Publicación seriada: Frontiers in Marine Science 
Resumen: The genetic polymorphism and phenotypic variation are key in ecology and evolution. The morphological variability of the contour of fish otoliths has been extensively used for the delimitation of stocks. These studies are conventionally based on average phenotype using elliptic Fourier analysis and lineal discriminant analysis as classifier. Considering new analytical options, such as the wavelet transform and non-parametric algorithms, we here analyzed the otolith shape of Trachurus picturatus (blue jack mackerel) from mainland Portugal, Madeira, and the Canaries. We explore the phenotypic variation throughout a latitudinal gradient, establish a hypothesis to explain this variability based on the reaction norms, and determine how the use of average phenotype and/or morphotypes influences in the delimitation of stocks. Four morphotypes were identified in all regions, with an increase of phenotypes in warmer waters. The findings demonstrated that stocks were clearly separated with classification rates over 90%. The use of morphotypes, revealed seasonal variations in their frequencies and per region. The presence of shared phenotypes in different proportions among fishing grounds may open new management approaches in migratory species. These results show the importance of the phenotypic diversity in fisheries management.
URI: http://hdl.handle.net/10553/112587
ISSN: 2296-7745
DOI: 10.3389/fmars.2021.740296
Fuente: Frontiers in Marine Science [EISSN 2296-7745], v. 8, 740296
Colección:Artículos
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