FN Archimer Export Format
PT J
TI The added value of participatoly modelling in fisheries management - what has been learnt?
BT 
AF ROCKMANN, Christine
   ULRICH, Clara
   DREYER, Marion
   BELL, Ewen
   BORODZICZ, Edward
   HAAPASAARI, Paivi
   HAUGE, Kjellrun Hiis
   HOWELL, Daniel
   MANTYNIEMI, Samu
   MILLER, David
   TSERPES, George
   PASTOORS, Martin
AS 1:1;2:2;3:3;4:4;5:5;6:6;7:7;8:7;9:6;10:1;11:8;12:1,9;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;
C1 IMARES Inst Marine Resources & Ecosyst Studies, NL-1970 AB Ijmuiden, Netherlands.
   Tech Univ Denmark, Natl Inst Aquat Resources, DTU Aqua, DK-2920 Charlottenlund, Denmark.
   Gemeinnutzige Gesell Kommunikat & Kooperat Forsch, DIALOGIK, D-70176 Stuttgart, Germany.
   CEFAS, Lowestoft NR33 0HT, Suffolk, England.
   Portsmouth Business Sch, Portsmouth PO1 3DE, Hants, England.
   Univ Helsinki, Dept Biol & Environm Sci, Fisheries & Environm Management Grp, FIN-00014 Helsinki, Finland.
   Inst Marine Res, Havforskningsinst, N-5817 Bergen, Norway.
   Inst Marine Biol Resources, HCMR, Gournes Crete 71500, Greece.
   Univ Wageningen & Res Ctr Agora 1, CMP, NL-8934 CJ Leeuwarden, Netherlands.
C2 IMARES, NETHERLANDS
   UNIV TECH DENMARK (DTU AQUA), DENMARK
   GEMEINNUTZIGE GESELL KOMMUNIKAT & KOOPERAT FORSCH, GERMANY
   CEFAS, UK
   PORTSMOUTH BUSINESS SCH, UK
   UNIV HELSINKI, FINLAND
   IMR (BERGEN), NORWAY
   HELLENIC CTR MARINE RES, GREECE
   UNIV WAGENINGEN, NETHERLANDS
IF 2.453
TC 81
UR https://archimer.ifremer.fr/doc/00589/70104/68121.pdf
LA English
DT Article
DE ;Participatory modelling;Fisheries management;Uncertainty;Post-normal science;Extended peer review;Problem framing
AB How can uncertain fisheries science be linked with good governance processes, thereby increasing fisheries management legitimacy and effectiveness? Reducing the uncertainties around scientific models has long been perceived as the cure of the fisheries management problem. There is however increasing recognition that uncertainty in the numbers will remain. A lack of transparency with respect to these uncertainties can damage the credibility of science. The EU Commission's proposal for a reformed Common Fisheries Policy calls for more self-management for the fishing industry by increasing fishers' involvement in the planning and execution of policies and boosting the role of fishers' organisations. One way of higher transparency and improved participation is to include stakeholders in the modelling process itself. The JAKFISH project (Judgment And Knowledge in Fisheries Involving StakeHolders) invited fisheries stakeholders to participate in the process of framing the management problem, and to give input and evaluate the scientific models that are used to provide fisheries management advice. JAKFISH investigated various tools to assess and communicate uncertainty around fish stock assessments and fisheries management. Here, a synthesis is presented of the participatory work carried out in four European fishery case studies (Western Baltic herring, North Sea Nephrops, Central Baltic Herring and Mediterranean swordfish), focussing on the uncertainty tools used, the stakeholders' responses to these, and the lessons learnt. It is concluded that participatory modelling has the potential to facilitate and structure discussions between scientists and stakeholders about uncertainties and the quality of the knowledge base. It can also contribute to collective learning, increase legitimacy, and advance scientific understanding. However, when approaching real-life situations, modelling should not be seen as the priority objective. Rather, the crucial step in a science-stakeholder collaboration is the joint problem framing in an open, transparent way. 
PY 2012
PD SEP
SO Marine Policy
SN 0308-597X
PU Elsevier Sci Ltd
VL 36
IS 5
UT 000305105800016
BP 1072
EP 1085
DI 10.1016/j.marpol.2012.02.027
ID 70104
ER

EF