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Recreational sea fishing in Europe in a global context - participation rates, fishing effort, expenditure, and implications for monitoring and assessment

Citation

Hyder, K and Weltersbach, MS and Armstrong, M and Ferter, K and Townhill, B and Ahvonen, A and Arlinghaus, R and Baikov, A and Bellanger, M and Birzaks, J and Borch, T and Cambie, G and de Graaf, M and Diogo, HMC and Dziemian, L and Gordoa, A and Grzebielec, R and Hartill, B and Kagervall, A and Kapiris, K and Karlsson, M and Klieven, AR and Lejk, AM and Levrel, H and Lovell, S and Lyle, J and Moilanen, P and Monkman, G and Morales-Nin, B and Mugerza, E and Martinez, R and O'Reilly, P and Olesen, HJ and Papadopoulous, A and Pita, P and Radford, Z and Radtke, K and Roche, W and Rocklin, D and Ruiz, J and Scougal, C and Silvestri, R and Skov, C and Steinback, S and Sundelof, A and Svagzdys, A and Turnbull, D and van der Hammen, T and van Voorhees, D and van Winsen, F and Verleye, T and Veiga, P and Volstad, J-H and Zarauz, L and Zolubas, T and Strehlow, HV, Recreational sea fishing in Europe in a global context - participation rates, fishing effort, expenditure, and implications for monitoring and assessment, Fish and Fisheries, 19, (2) pp. 225-243. ISSN 1467-2960 (2018) [Refereed Article]


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© 2017 The Authors. Fish and Fisheries published by John Wiley & Sons Ltd. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.1111/faf.12251

Abstract

Marine recreational fishing (MRF) is a high-participation activity with large economic value and social benefits globally, and it impacts on some fish stocks. Although reporting MRF catches is a European Union legislative requirement, estimates are only available for some countries. Here, data on numbers of fishers, participation rates, days fished, expenditures, and catches of two widely targeted species were synthesized to provide European estimates of MRF and placed in the global context. Uncertainty assessment was not possible due to incomplete knowledge of error distributions; instead, a semi-quantitative bias assessment was made. There were an estimated 8.7 million European recreational sea fishers corresponding to a participation rate of 1.6%. An estimated 77.6 million days were fished, and expenditure was €5.9 billion annually. There were higher participation, numbers of fishers, days fished and expenditure in the Atlantic than the Mediterranean, but the Mediterranean estimates were generally less robust. Comparisons with other regions showed that European MRF participation rates and expenditure were in the mid-range, with higher participation in Oceania and the United States, higher expenditure in the United States, and lower participation and expenditure in South America and Africa. For both northern European sea bass (Dicentrarchus labrax, Moronidae) and western Baltic cod (Gadus morhua, Gadidae) stocks, MRF represented 27% of the total removals. This study highlights the importance of MRF and the need for bespoke, regular and statistically sound data collection to underpin European fisheries management. Solutions are proposed for future MRF data collection in Europe and other regions to support sustainable fisheries management.

Item Details

Item Type:Refereed Article
Keywords:European marine recreational fisheries, fisheries management, recreational fishing effort, recreational fishing expenditure, recreational fishing participation, recreational fisheries surveys
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Fisheries sciences
Research Field:Fisheries sciences not elsewhere classified
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - wild caught
Objective Field:Fisheries - recreational freshwater
UTAS Author:Lyle, J (Associate Professor Jeremy Lyle)
ID Code:122696
Year Published:2018 (online first 2017)
Web of Science® Times Cited:132
Deposited By:Sustainable Marine Research Collaboration
Deposited On:2017-11-22
Last Modified:2022-07-01
Downloads:20 View Download Statistics

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