Acronym DRUMFISH
Category
Fisheries
Title Approaches to management for data-poor stocks in mixed fisheries Programme EASME - EMFF
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source European Coordinator Jan Jaap Poos Coordinator email janjaap.poos@wur.nl
Coordinator institution
WUR-IMARES - Wageningen University and Research; Institute for Marine Resources and Ecosystem Studies (Netherlands)
Institutions involved
NA - Azti (Spain) ,
CEFAS - Centre for Environment, Fisheries & Aquaculture Science (United Kingdom) ,
GMIT - Galway-Mayo Institute of Technology (Ireland) ,
CNR - National Research Council (Italy) ,
DTU - Technical University of Denmark (Denmark) ,
Thünen Institute - Thunen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries (Germany) ,
Start year 2015 End year 2016 Funding (€) € 997,000 Website NA Summary 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.
Keywords
Fish stocks;
Fisheries management;
Marine Region
13
Northern North Sea (27.IVa)
11
Celtic Sea South (27.VIIh)
46
Corsica Island (GSA 8)
10
Celtic Sea North (27.VIIg)
12
Bay of Biscay North (27.VIIIa)
57
Southern Alboran Sea (GSA 3)
5
Southern North Sea (27.IVc)
6
Central North Sea (27.IVb)
48
South Tyrrhenian Sea (GSA 10)
18
West of Gotland (27.IIId.27)
50
Sardinia (east) (GSA 11.2)
22
Southern Central Baltic-West (27.IIId.25)
74
Northern Adriatic (GSA 17)
54
Balearic Island (GSA 5)
20
Archipelago Sea (27.IIId. 29)
56
Alboran Island (GSA 2)
55
Algeria (GSA 4)
52
Northern Alboran Sea (GSA 1)
33
Bay of Biscay Southern (27.VIIIc)
71
South of Sicily (GSA 16)
19
Gulf of Finland (27.IIId.32)
51
Sardinia (west) (GSA 11.1)
15
Bay of Biscay Central (27.VIIIb)
45
Southern Adriatic Sea (GSA 18)
62
Aegean Sea (GSA 22)
16
East of Gotland or Gulf of Riga (27.IIId.28)
49
Gulf of Lions (GSA 7)
17
Bothnian Sea (27.IIId.30)
23
Baltic West of Bornholm (27.IIId.24)
53
Northern Spain (GSA 6)
21
Southern Central Baltic-East (27.IIId.26)
27
Bothnian Bay (27.IIId.31)
75
Northern Tunisia (GSA 12)
47
Ligurian and North Tyrrhenian Sea (GSA 9)
34
Marine Region Map
