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Analysis of Big Game Fishing Catches of Blue Marlin ( Makaira nigricans ) in the Madeira Archipelago (Eastern Atlantic) and Factors that Affect Its Presence

Author

Listed:
  • Roi Martinez-Escauriaza

    (Oceanic Observatory of Madeira, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação (ARDITI), Edifício Madeira Tecnopolo, 9020-105 Funchal, Portugal)

  • Pablo Pita

    (Campus Do Mar, International Campus of Excellence, 15782 Santiago de Compostela, Spain
    Faculty of Political and Social Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain)

  • Maria Lídia Ferreira de Gouveia

    (Direção Regional do Mar, Direção de Serviços de Monitorização, Estudos e Investigação do Mar (DRM/DSEIMar), 9004-562 Funchal, Portugal)

  • Nuno Manuel Abreu Gouveia

    (Direção Regional de Pescas, Direção de Serviços de Inspeção e Controlo, Edifício da Sociedade Metropolitana de Câmara de Lobos, 9300-138 Câmara de Lobos, Portugal)

  • Eduardo Teixeira

    (Big Game Club of Portugal in Madeira, 9000-171 Funchal, Portugal)

  • Mafalda de Freitas

    (Oceanic Observatory of Madeira, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação (ARDITI), Edifício Madeira Tecnopolo, 9020-105 Funchal, Portugal
    Direção Regional do Mar, Direção de Serviços de Monitorização, Estudos e Investigação do Mar (DRM/DSEIMar), 9004-562 Funchal, Portugal
    Estação de Biologia Marinha do Funchal, Cais do Carvão, 9000-003 Funchal, Portugal
    MARE–Marine and Environmental Sciences Centre, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação (ARDITI), Edifício Madeira Tecnopolo, 9020-105 Funchal, Portugal)

  • Margarida Hermida

    (Oceanic Observatory of Madeira, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação (ARDITI), Edifício Madeira Tecnopolo, 9020-105 Funchal, Portugal
    MARE–Marine and Environmental Sciences Centre, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação (ARDITI), Edifício Madeira Tecnopolo, 9020-105 Funchal, Portugal)

Abstract

The archipelago of Madeira (Portugal) is one of the main European big game fishing locations, where the main target species is the blue marlin ( Makaira nigricans ). Catch data for these fish were used to analyze their presence over the years, estimate their average weights, and calculate annual fishing success rates. The results showed a marked seasonal effect, with higher average catch rates in summer (June–July), suggesting a migration from the equatorial waters they inhabit at the beginning of the year to northern areas when the waters become warmer. The influences of some environmental factors were analyzed using generalized additive models, and it was observed that the occurrence of blue marlin may be influenced by water temperature, wind, rain, and atmospheric pressure. This fishery did not register a high mortality rate in blue marlin specimens due to the usual practice of catch and release; individuals captured in this fishery can be used as a source of information that allows for follow-up on the status of the blue marlin population in the region.

Suggested Citation

  • Roi Martinez-Escauriaza & Pablo Pita & Maria Lídia Ferreira de Gouveia & Nuno Manuel Abreu Gouveia & Eduardo Teixeira & Mafalda de Freitas & Margarida Hermida, 2021. "Analysis of Big Game Fishing Catches of Blue Marlin ( Makaira nigricans ) in the Madeira Archipelago (Eastern Atlantic) and Factors that Affect Its Presence," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:8975-:d:612282
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    References listed on IDEAS

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    1. José Cabral Vieira & Marcos Carolino Antunes, 2017. "Touristic big-game fishing in Saint Michael Island (Azores)," Tourism Economics, , vol. 23(6), pages 1362-1368, September.
    2. Simon N. Wood, 2003. "Thin plate regression splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 95-114, February.
    3. S. N. Wood, 2000. "Modelling and smoothing parameter estimation with multiple quadratic penalties," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 413-428.
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