Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 546419
Title Study on the approaches to management for data-poor stocks in mixed fisheries : DRuMFISH : final report - Study
Author(s) Poos, J.J.; Oliveira, José De; Ulrich, C.; Brunel, T.P.A.; Plet-Hansen, Kristian; Mildenberger, Tobias; Nielsen, J.R.; Kokkalis, A.; Minto, Coilín; Pawlowski, Lionel; Robert, Marianne; Macher, Claire; Merzereaud, Mathieu; Garcia, Dorleta; Ibaibarriaga, L.; Bertignac, Michel; Vermard, Youen; Fischer, Simon; Carpi, Piera; Walker, Nicola; Earl, Timothy; Davie, Sarah; Haslob, Holger; Kempf, A.; Taylor, Marc; Martin, Paloma; Maynou, Francesc; Recasens, Laura; Ramirez, John Gabriel; Lleonart, Jordi; Garriga, Mariona; Tserpes, George; Sgardeli, Viki; Coro, Gianpolo; Scarcella, Giuseppe; Angelini, Silvia
Source EU - ISBN 9789292024062 - 84 p.
Department(s) WIAS
Aquaculture and Fisheries
Publication type Scientific report
Publication year 2018
Abstract This is the final report of the European Commission funded research project "DRuMFISH" (service contract n° EASME/EMFF/2014/l.3.2.4/ SI2.721116). The main aim of the project was to develop models and strategies for providing advice for mixed fisheries that account for: (i) fishing mortality ranges consistent with MSY, (ii) all fish caught being landed, and (iii) significant components of the marine fish ecosystem lacking key biological information. In order to meet this aim, DRuMFISH delivered a review of assessment approaches for data-poor stocks, extended mixed fisheries simulation frameworks to include data-poor stocks. The assessment approaches and simulation frameworks were implemented in 7 case studies. These case studies were mixed fisheries in the Baltic Sea, the North Sea, the Celtic Sea, the Bay of Biscay, the Western Mediterranean, the Adriatic Sea, and the Aegean Sea. Within the case studies, 35 data-poor stock assessments were done. These assessments provided exploitation status of data-poor stocks. Different harvest control rules were subsequently tested for their expected yields and stock biomasses from the mixed fisheries in the simulation frameworks. Now that data-poor stocks can be incorporated with in the mixed fisheries simulation frameworks, the design of new management plans can account for data-poor stocks in mixed fisheries.
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