Integrated ecological-economic fisheries models-Evaluation, review and challenges for implementation
|Author(s)||Nielsen J. Rasmus1, Thunberg Eric2, Holland Daniel S.3, Schmidt Jorn O.4, Fulton Elizabeth A.5, Bastardie Francois1, Punt Andre E.6, Allen Icarus7, Bartelings Heleen8, Bertignac Michel9, Bethke Eckhard10, Bossier Sieme1, Buckworth Rik11, 31, Carpenter Griffin12, Christensen Asbjorn1, Christensen Villy13, Da-Rocha Jose M.14, Deng Roy11, Dichmont Catherine11, Doering Ralf10, Esteban Aniol12, Fernandes Jose A.7, Frost Hans15, Garcia Dorleta16, Gasche Loic17, Gascuel Didier18, Gourguet Sophie19, Groeneveld Rolf A.20, Guillen Jordi21, Guyader Olivier19, Hamon Katell8, Hoff Ayoe15, Horbowy Jan22, Hutton Trevor11, Lehuta Sigrid17, Little L. Richard5, Lleonart Jordi21, Macher Claire19, Mackinson Steven17, 23, Mahevas Stephanie, Marchal Paul24, Mato-Amboage Rosa14, Mapstone Bruce5, Maynou Francesc21, Merzereaud Mathieu19, Palacz Artur1, 32, Pascoe Sean11, Paulrud Anton25, Plaganyi Eva11, Prellezo Raul16, Van Putten Elizabeth I.5, Quaas Martin4, Ravn-Jonsen Lars26, Sanchez Sonia27, Simons Sarah10, Thebaud Olivier19, Tomczak Maciej T.28, Ulrich Clara1, Van Dijk Diana29, Vermard Youen17, Voss Rudi4, Waldo Staffan30|
|Affiliation(s)||1 : Tech Univ Denmark, Natl Inst Aquat Resources, Lyngby, Denmark.
2 : NOAA Fisheries Off Sci & Technol, Northeast Fisheries Sci Ctr, Social Sci Branch, Woods Hole, MA USA.
3 : NOAA Fisheries Off Sci & Technol, NMFS, Northwest Fisheries Sci Ctr, Conservat Biol Div, Seattle, WA USA.
4 : Christian Albrechts Univ Kiel, Dept Econ, Kiel, Germany.
5 : Marine Labs, CSIRO Oceans & Atmosphere, Hobart, Tas, Australia.
6 : Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
7 : Plymouth Marine Lab Sea & Soc Prospect Pl, Plymouth, Devon, England.
8 : Wageningen Univ, WUR, Wageningen Econ Res, The Hague, Netherlands.
9 : IFREMER, STH French Res Inst Exploitat Sea, Unite Sci & Technol Halieut, Plouzane, France.
10 : Thunen Inst Sea Fisheries, Hamburg, Germany.
11 : Queensland Biosci Precinct, CSIRO Oceans & Atmosphere, St Lucia, Qld, Australia.
12 : New Econ Fdn, London, England.
13 : Univ British Columbia, Inst Oceans & Fisheries, Vancouver, BC, Canada.
14 : Univ Vigo, Escuela Comercio, Vigo, Spain.
15 : Univ Copenhagen, Dept Food & Resource Econ, Copenhagen, Denmark.
16 : AZTI, Sukarrieta, Spain.
17 : IFREMER, EMH French Res Inst Exploitat Sea, Unite Ecol & Modeles Halieut, Nantes, France.
18 : Univ Bretagne Loire, UMR Ecol & Ecosyst Hlth ESE, Rennes, France.
19 : IFREMER, AMURE French Res Inst Exploitat Sea, Unite Econ Maritime, Plouzane, France.
20 : Wageningen Univ WUR, Environm Econ & Nat Resources Grp, Wageningen, Netherlands.
21 : CSIC, Inst Ciencies Mar, Spanish Natl Res Council, Barcelona, Spain.
22 : Natl Marine Fisheries Res Inst, Gdynia, Poland.
23 : Scottish Pelag Fishermens Assoc, Fraserburgh, England.
24 : IFREMER, IURHF French Res Inst Exploitat Sea, HMMM, Unite Halieut Manche Mer Nord, Boulogne Sur Mer, France.
25 : Swedish Agcy Marine Water Management, Gothenburg, Sweden.
26 : Univ Southern Denmark, Dept Environm & Business Econ, Esbjerg, Denmark.
27 : AZTI, Pasaia, Spain.
28 : Stockholm Univ, Balt Sea Ctr, Stockholm, Sweden.
29 : Swiss Fed Inst Aquat Sci & Technol, Dubendorf, Switzerland.
30 : Swedish Univ Agr Sci, Dept Econ, Lund, Sweden.
31 : Charles Darwin Univ, POB 304, Darwin, NT 0815, Australia.
32 : Polish Acad Sci, Inst Oceanol, Powstancow Warszawy 55, PL-81712 Sopot, Poland.
|Source||Fish And Fisheries (1467-2960) (Wiley), 2018-01 , Vol. 19 , N. 1 , P. 1-29|
|WOS© Times Cited||84|
|Keyword(s)||bio-economic models, comparative model evaluation, fisheries management advice, integrated ecological-economic fisheries models, marine spatial planning and cross-sector management, performance criteria and scales and risks, use and acceptance and implementation and communication and flexibility and complexity|
Marine ecosystems evolve under many interconnected and area-specific pressures. To fulfil society's intensifying and diversifying needs while ensuring ecologically sustainable development, more effective marine spatial planning and broader-scope management of marine resources is necessary. Integrated ecological–economic fisheries models (IEEFMs) of marine systems are needed to evaluate impacts and sustainability of potential management actions and understand, and anticipate ecological, economic and social dynamics at a range of scales from local to national and regional. To make these models most effective, it is important to determine how model characteristics and methods of communicating results influence the model implementation, the nature of the advice that can be provided and the impact on decisions taken by managers. This article presents a global review and comparative evaluation of 35 IEEFMs applied to marine fisheries and marine ecosystem resources to identify the characteristics that determine their usefulness, effectiveness and implementation. The focus is on fully integrated models that allow for feedbacks between ecological and human processes although not all the models reviewed achieve that. Modellers must invest more time to make models user friendly and to participate in management fora where models and model results can be explained and discussed. Such involvement is beneficial to all parties, leading to improvement of mo-dels and more effective implementation of advice, but demands substantial resources which must be built into the governance process. It takes time to develop effective processes for using IEEFMs requiring a long-term commitment to integrating multidisciplinary modelling advice into management decision-making.