The added value of participatoly modelling in fisheries management - what has been learnt?. Rockmann, C., Ulrich, C., Dreyer, M., Bell, E., Borodzicz, E., Haapasaari, P., Hauge, K. H., Howell, D., Mantyniemi, S., Miller, D., Tserpes, G., & Pastoors, M. MARINE POLICY, 36(5):1072-1085, ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, SEP, 2012. doi abstract bibtex 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. (C) 2012 Elsevier Ltd. All rights reserved.
@article{ ISI:000305105800016,
Author = {Rockmann, Christine and Ulrich, Clara and Dreyer, Marion and Bell, Ewen
and Borodzicz, Edward and Haapasaari, Paivi and Hauge, Kjellrun Hiis and
Howell, Daniel and Mantyniemi, Samu and Miller, David and Tserpes,
George and Pastoors, Martin},
Title = {{The added value of participatoly modelling in fisheries management -
what has been learnt?}},
Journal = {{MARINE POLICY}},
Year = {{2012}},
Volume = {{36}},
Number = {{5}},
Pages = {{1072-1085}},
Month = {{SEP}},
Abstract = {{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. (C) 2012 Elsevier
Ltd. All rights reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Rockmann, C (Reprint Author), IMARES Inst Marine Resources \& Ecosyst Studies, POB 68, NL-1970 AB Ijmuiden, Netherlands.
Rockmann, Christine; Miller, David; Pastoors, Martin, IMARES Inst Marine Resources \& Ecosyst Studies, NL-1970 AB Ijmuiden, Netherlands.
Ulrich, Clara, Tech Univ Denmark, Natl Inst Aquat Resources, DTU Aqua, DK-2920 Charlottenlund, Denmark.
Dreyer, Marion, Gemeinnutzige Gesell Kommunikat \& Kooperat Forsch, DIALOGIK, D-70176 Stuttgart, Germany.
Bell, Ewen, CEFAS, Lowestoft NR33 0HT, Suffolk, England.
Borodzicz, Edward, Portsmouth Business Sch, Portsmouth PO1 3DE, Hants, England.
Haapasaari, Paivi; Mantyniemi, Samu, Univ Helsinki, Dept Biol \& Environm Sci, Fisheries \& Environm Management Grp, FIN-00014 Helsinki, Finland.
Hauge, Kjellrun Hiis; Howell, Daniel, Inst Marine Res, Havforskningsinst, N-5817 Bergen, Norway.
Tserpes, George, Inst Marine Biol Resources, HCMR, Gournes Crete 71500, Greece.
Pastoors, Martin, Univ Wageningen \& Res Ctr Agora 1, CMP, NL-8934 CJ Leeuwarden, Netherlands.}},
DOI = {{10.1016/j.marpol.2012.02.027}},
ISSN = {{0308-597X}},
Keywords = {{Participatory modelling; Fisheries management; Uncertainty; Post-normal
science; Extended peer review; Problem framing}},
Keywords-Plus = {{ENVIRONMENTAL ASSESSMENT; CREDIBILITY CRISIS; NUSAP SYSTEM; UNCERTAINTY;
SCIENCE; ADVICE}},
Research-Areas = {{Environmental Sciences \& Ecology; International Relations}},
Web-of-Science-Categories = {{Environmental Studies; International Relations}},
Author-Email = {{Christine.Rockmann@wur.n
clu@aqua.dtu.dk
dreyer@dialogik-expert.de
ewen.bell@cefas.co.uk
edward.borodzicz@port.ac.uk
paivi.haapasaari@helsinki.fi
kjellrun.hiis.hauge@imr.no
daniel.howell@imr.no
samu.mantyniemi@helsinki.fi
David.Miller@wur.nl
gtserpes@hcmr.gr
martin.pastoors@wur.nl}},
ResearcherID-Numbers = {{Tserpes, George/L-6201-2013
Mantyniemi, Samu/B-4219-2008
}},
ORCID-Numbers = {{Tserpes, George/0000-0001-9052-4091
Mantyniemi, Samu/0000-0002-3367-6280
Haapasaari, Paivi/0000-0001-9342-5195}},
Number-of-Cited-References = {{89}},
Times-Cited = {{35}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{44}},
Journal-ISO = {{Mar. Pol.}},
Doc-Delivery-Number = {{956RC}},
Unique-ID = {{ISI:000305105800016}},
OA = {{No}},
DA = {{2017-08-17}},
}
Downloads: 0
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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. (C) 2012 Elsevier Ltd. All rights reserved.","publisher":"ELSEVIER SCI LTD","address":"THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND","language":"English","affiliation":"Rockmann, C (Reprint Author), IMARES Inst Marine Resources & Ecosyst Studies, POB 68, NL-1970 AB Ijmuiden, Netherlands. Rockmann, Christine; Miller, David; Pastoors, Martin, IMARES Inst Marine Resources & Ecosyst Studies, NL-1970 AB Ijmuiden, Netherlands. Ulrich, Clara, Tech Univ Denmark, Natl Inst Aquat Resources, DTU Aqua, DK-2920 Charlottenlund, Denmark. Dreyer, Marion, Gemeinnutzige Gesell Kommunikat & Kooperat Forsch, DIALOGIK, D-70176 Stuttgart, Germany. Bell, Ewen, CEFAS, Lowestoft NR33 0HT, Suffolk, England. Borodzicz, Edward, Portsmouth Business Sch, Portsmouth PO1 3DE, Hants, England. Haapasaari, Paivi; Mantyniemi, Samu, Univ Helsinki, Dept Biol & Environm Sci, Fisheries & Environm Management Grp, FIN-00014 Helsinki, Finland. Hauge, Kjellrun Hiis; Howell, Daniel, Inst Marine Res, Havforskningsinst, N-5817 Bergen, Norway. Tserpes, George, Inst Marine Biol Resources, HCMR, Gournes Crete 71500, Greece. Pastoors, Martin, Univ Wageningen & Res Ctr Agora 1, CMP, NL-8934 CJ Leeuwarden, Netherlands.","doi":"10.1016/j.marpol.2012.02.027","issn":"0308-597X","keywords":"Participatory modelling; Fisheries management; Uncertainty; Post-normal science; Extended peer review; Problem framing","keywords-plus":"ENVIRONMENTAL ASSESSMENT; CREDIBILITY CRISIS; NUSAP SYSTEM; UNCERTAINTY; SCIENCE; ADVICE","research-areas":"Environmental Sciences & Ecology; International Relations","web-of-science-categories":"Environmental Studies; International Relations","author-email":"Christine.Rockmann@wur.n clu@aqua.dtu.dk dreyer@dialogik-expert.de ewen.bell@cefas.co.uk edward.borodzicz@port.ac.uk paivi.haapasaari@helsinki.fi kjellrun.hiis.hauge@imr.no daniel.howell@imr.no samu.mantyniemi@helsinki.fi David.Miller@wur.nl gtserpes@hcmr.gr martin.pastoors@wur.nl","researcherid-numbers":"Tserpes, George/L-6201-2013 Mantyniemi, Samu/B-4219-2008 ","orcid-numbers":"Tserpes, George/0000-0001-9052-4091 Mantyniemi, Samu/0000-0002-3367-6280 Haapasaari, Paivi/0000-0001-9342-5195","number-of-cited-references":"89","times-cited":"35","usage-count-last-180-days":"2","usage-count-since-2013":"44","journal-iso":"Mar. Pol.","doc-delivery-number":"956RC","unique-id":"ISI:000305105800016","oa":"No","da":"2017-08-17","bibtex":"@article{ ISI:000305105800016,\nAuthor = {Rockmann, Christine and Ulrich, Clara and Dreyer, Marion and Bell, Ewen\n and Borodzicz, Edward and Haapasaari, Paivi and Hauge, Kjellrun Hiis and\n Howell, Daniel and Mantyniemi, Samu and Miller, David and Tserpes,\n George and Pastoors, Martin},\nTitle = {{The added value of participatoly modelling in fisheries management -\n what has been learnt?}},\nJournal = {{MARINE POLICY}},\nYear = {{2012}},\nVolume = {{36}},\nNumber = {{5}},\nPages = {{1072-1085}},\nMonth = {{SEP}},\nAbstract = {{How can uncertain fisheries science be linked with good governance\n processes, thereby increasing fisheries management legitimacy and\n effectiveness? Reducing the uncertainties around scientific models has\n long been perceived as the cure of the fisheries management problem.\n There is however increasing recognition that uncertainty in the numbers\n will remain. A lack of transparency with respect to these uncertainties\n can damage the credibility of science. The EU Commission's proposal for\n a reformed Common Fisheries Policy calls for more self-management for\n the fishing industry by increasing fishers' involvement in the planning\n and execution of policies and boosting the role of fishers'\n organisations. One way of higher transparency and improved participation\n is to include stakeholders in the modelling process itself. The JAKFISH\n project (Judgment And Knowledge in Fisheries Involving StakeHolders)\n invited fisheries stakeholders to participate in the process of framing\n the management problem, and to give input and evaluate the scientific\n models that are used to provide fisheries management advice. JAKFISH\n investigated various tools to assess and communicate uncertainty around\n fish stock assessments and fisheries management. Here, a synthesis is\n presented of the participatory work carried out in four European fishery\n case studies (Western Baltic herring, North Sea Nephrops, Central Baltic\n Herring and Mediterranean swordfish), focussing on the uncertainty tools\n used, the stakeholders' responses to these, and the lessons learnt. It\n is concluded that participatory modelling has the potential to\n facilitate and structure discussions between scientists and stakeholders\n about uncertainties and the quality of the knowledge base. It can also\n contribute to collective learning, increase legitimacy, and advance\n scientific understanding. However, when approaching real-life\n situations, modelling should not be seen as the priority objective.\n Rather, the crucial step in a science-stakeholder collaboration is the\n joint problem framing in an open, transparent way. (C) 2012 Elsevier\n Ltd. All rights reserved.}},\nPublisher = {{ELSEVIER SCI LTD}},\nAddress = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},\nType = {{Article}},\nLanguage = {{English}},\nAffiliation = {{Rockmann, C (Reprint Author), IMARES Inst Marine Resources \\& Ecosyst Studies, POB 68, NL-1970 AB Ijmuiden, Netherlands.\n Rockmann, Christine; Miller, David; Pastoors, Martin, IMARES Inst Marine Resources \\& Ecosyst Studies, NL-1970 AB Ijmuiden, Netherlands.\n Ulrich, Clara, Tech Univ Denmark, Natl Inst Aquat Resources, DTU Aqua, DK-2920 Charlottenlund, Denmark.\n Dreyer, Marion, Gemeinnutzige Gesell Kommunikat \\& Kooperat Forsch, DIALOGIK, D-70176 Stuttgart, Germany.\n Bell, Ewen, CEFAS, Lowestoft NR33 0HT, Suffolk, England.\n Borodzicz, Edward, Portsmouth Business Sch, Portsmouth PO1 3DE, Hants, England.\n Haapasaari, Paivi; Mantyniemi, Samu, Univ Helsinki, Dept Biol \\& Environm Sci, Fisheries \\& Environm Management Grp, FIN-00014 Helsinki, Finland.\n Hauge, Kjellrun Hiis; Howell, Daniel, Inst Marine Res, Havforskningsinst, N-5817 Bergen, Norway.\n Tserpes, George, Inst Marine Biol Resources, HCMR, Gournes Crete 71500, Greece.\n Pastoors, Martin, Univ Wageningen \\& Res Ctr Agora 1, CMP, NL-8934 CJ Leeuwarden, Netherlands.}},\nDOI = {{10.1016/j.marpol.2012.02.027}},\nISSN = {{0308-597X}},\nKeywords = {{Participatory modelling; Fisheries management; Uncertainty; Post-normal\n science; Extended peer review; Problem framing}},\nKeywords-Plus = {{ENVIRONMENTAL ASSESSMENT; CREDIBILITY CRISIS; NUSAP SYSTEM; UNCERTAINTY;\n SCIENCE; ADVICE}},\nResearch-Areas = {{Environmental Sciences \\& Ecology; International Relations}},\nWeb-of-Science-Categories = {{Environmental Studies; International Relations}},\nAuthor-Email = {{Christine.Rockmann@wur.n\n clu@aqua.dtu.dk\n dreyer@dialogik-expert.de\n ewen.bell@cefas.co.uk\n edward.borodzicz@port.ac.uk\n paivi.haapasaari@helsinki.fi\n kjellrun.hiis.hauge@imr.no\n daniel.howell@imr.no\n samu.mantyniemi@helsinki.fi\n David.Miller@wur.nl\n gtserpes@hcmr.gr\n martin.pastoors@wur.nl}},\nResearcherID-Numbers = {{Tserpes, George/L-6201-2013\n Mantyniemi, Samu/B-4219-2008\n }},\nORCID-Numbers = {{Tserpes, George/0000-0001-9052-4091\n Mantyniemi, Samu/0000-0002-3367-6280\n Haapasaari, Paivi/0000-0001-9342-5195}},\nNumber-of-Cited-References = {{89}},\nTimes-Cited = {{35}},\nUsage-Count-Last-180-days = {{2}},\nUsage-Count-Since-2013 = {{44}},\nJournal-ISO = {{Mar. 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