Clarifying species identity in Aphanopus using wavelet-based otolith shape analysis

Accurate species identification is crucial for effective fisheries management, particularly for cryptic species with overlapping ranges and similar morphologies. This study explores the coexistence and distribution of Aphanopus carbo and Aphanopus intermedius in the northeastern Atlantic over four decades using otolith contour analysis. Otolith samples were collected from Madeira and the African coast between 1990 and 2021 and analyzed using a wavelet-based method, which improves species discrimination by capturing finer morphological details. The analysis revealed stable species proportions over time, with A. carbo generally dominating the catches ([Formula: see text]55-60%), except in 2010 when a decline was observed. A higher presence of A. intermedius in offshore areas may be associated with increased salinity near Madeira Island during the spawning season (October-December). Environmental changes, including variations in temperature and salinity at depths greater than 800 m, and the progressive expansion of the drifting longline fishery to new grounds, likely influenced these patterns. This study demonstrates that combining otolith contour analysis with genetically identified reference specimens enhances species discrimination and provides valuable insights into population dynamics and habitat use. These findings contribute to more effective fisheries management and stock assessments for these economically important scabbardfish in the northeastern Atlantic.

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Publication Details

Journal
PLoS ONE
Published
2025-06-18
DOI
https://doi.org/10.1371/journal.pone.0326199
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.00

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article

Clarifying species identity in Aphanopus using wavelet-based otolith shape analysis

Ricardo Sousa, José Luís Otero-Ferrer, Joana Vasconcelos, C.L. Hernández-González et al.
PLoS ONE
Identification and Quantification in Food
article

Clarifying species identity in Aphanopus using wavelet-based otolith shape analysis

Ricardo Sousa, José Luís Otero-Ferrer, Joana Vasconcelos, C.L. Hernández-González, Alba Jurado‐Ruzafa, Airam Guerra‐Marrero, Javier Martı́nez, Víctor M. Tuset, Mafalda Freitas
article en

Abstract

Accurate species identification is crucial for effective fisheries management, particularly for cryptic species with overlapping ranges and similar morphologies. This study explores the coexistence and distribution of Aphanopus carbo and Aphanopus intermedius in the northeastern Atlantic over four decades using otolith contour analysis. Otolith samples were collected from Madeira and the African coast between 1990 and 2021 and analyzed using a wavelet-based method, which improves species discrimination by capturing finer morphological details. The analysis revealed stable species proportions over time, with A. carbo generally dominating the catches ([Formula: see text]55-60%), except in 2010 when a decline was observed. A higher presence of A. intermedius in offshore areas may be associated with increased salinity near Madeira Island during the spawning season (October-December). Environmental changes, including variations in temperature and salinity at depths greater than 800 m, and the progressive expansion of the drifting longline fishery to new grounds, likely influenced these patterns. This study demonstrates that combining otolith contour analysis with genetically identified reference specimens enhances species discrimination and provides valuable insights into population dynamics and habitat use. These findings contribute to more effective fisheries management and stock assessments for these economically important scabbardfish in the northeastern Atlantic.

PLoS ONEVol. 20(6)
Universidad de Las Palmas de Gran Canaria (ES), Madeira Tecnopolo (PT), Secretaria Regional do Ambiente e Recursos Naturais (PT), Instituto Volcanológico de Canarias (ES)
Fundação para a Ciência e a Tecnologia
Life below water
Openalex Percentile: Top 87%
Identification and Quantification in Food
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