New technologies to improve bycatch mitigation in industrial tuna fisheries
Autor: | Francois Poisson, Michael K. Musyl, Takahito Kojima, Pierre Budan, Eric Gilman, Sylvain Coudray, Tsutomu Takagi |
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Přispěvatelé: | MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD), Hawaii Pacific University |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0106 biological sciences
autonomous underwater vehicle (AUV) Emerging technologies 010604 marine biology & hydrobiology [SDE.MCG]Environmental Sciences/Global Changes deep learning 04 agricultural and veterinary sciences Management Monitoring Policy and Law Aquatic Science Oceanography 01 natural sciences behaviour Bycatch Fishery ethology 040102 fisheries 0401 agriculture forestry and fisheries 14. Life underwater Business eDNA [SDE.BE]Environmental Sciences/Biodiversity and Ecology Tuna Ecology Evolution Behavior and Systematics capture process |
Zdroj: | Fish and Fisheries Fish and Fisheries, Wiley-Blackwell, 2021, ⟨10.1111/faf.12631⟩ |
ISSN: | 1467-2960 1467-2979 |
DOI: | 10.1111/faf.12631⟩ |
Popis: | \ₑprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12631; For many years, tremendous effort has been dedicated to developing new industrial tuna fisheries, while their adverse impacts on threatened marine species have received relatively little attention. In tuna fisheries, bycatch is the major anthropogenic threat to marine megafauna in general, particularly sharks. Research on the development of gear technology for bycatch reduction and potential mitigation measures helped tuna Regional Fisheries Management Organizations adopt bycatch reduction management measures. After reviewing past research on the development of mitigation measures for pelagic longline and tropical purse seine fisheries based on pelagic species' behaviours, we describe promising new approaches integrating recent technological breakthroughs. New innovations include autonomous underwater vehicles carrying cameras along with miniaturized sensors, aerial drones, computer simulation of fishing gear geometry, environmental DNA assays, computer visualizations and deep learning. The successful application of such tools and methods promises to improve our understanding of factors that influence capture, escape and stress of caught species. Moreover, results emerging from recent ethological research explaining the power of social connection and learning in the “fish world” such as social learning from congeners, habituation to deterrents, and how past fishery interactions affect responses to fishing gear should be taken into account when developing technical mitigation measures. |
Databáze: | OpenAIRE |
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