@inproceedings{ ISI:000290030702126,
Author = {Hamon, K. and Ulrich, C. and Hoff, A. and Kell, L. T.},
Editor = {{Oxley, L and Kulasiri, D}},
Title = {{Evaluation of Management Strategies for the Mixed North Sea Roundfish
   Fisheries with the FLR Framework}},
Booktitle = {{MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: LAND,
   WATER AND ENVIRONMENTAL MANAGEMENT: INTEGRATED SYSTEMS FOR
   SUSTAINABILITY}},
Year = {{2007}},
Pages = {{2813-2819}},
Note = {{International Congress on Modelling and Simulation (MODSIM07),
   Christchurch, NEW ZEALAND, DEC 10-13, 2007}},
Organization = {{Lincoln Univ; HEMA Consulting Pty Ltd; Modelling and Simulat Soc
   Australia \& New Zealand (MSSANZ); Univ Canterbury; SGI; Lincoln
   Ventures Ltd; Hoare Res Software Ltd; IMACS; IEMSS; Environm Modelling
   \& Software; IBM}},
Abstract = {{Most demersal stocks keep being overexploited despite the numerous
   management measures implemented. New approaches in methods for providing
   scientific advice to fisheries management include simulation-based MSE
   (Management Strategy Evaluation), aiming at identifying management
   strategies robust to various sources of uncertainties. MSE are
   simulation models including management scenarios and allowing for
   testing alternative plausible hypotheses about stocks and fleets
   dynamics.
   FLR (Fisheries Library in R) is an open-source collection of tools
   providing a generic modelling framework for constructing such MSE. FLR
   has been developed under the statistical computing language ``R{''} in
   EU-funded research projects, and provides various compatible packages
   which can be freely combined by the user, thus insuring complete
   flexibility.}},
Publisher = {{MODELLING \& SIMULATION SOC AUSTRALIA \& NEW ZEALAND INC}},
Address = {{MSSANZ, CHRISTCHURCH, 00000, NEW ZEALAND}},
Type = {{Proceedings Paper}},
Language = {{English}},
Affiliation = {{Hamon, K (Reprint Author), Tech Univ Denmark, Danish Inst Fisheries Res, DTU DIFRES, DK-2920 Charlottenlund, Denmark.
   Hamon, K.; Ulrich, C., Tech Univ Denmark, Danish Inst Fisheries Res, DTU DIFRES, DK-2920 Charlottenlund, Denmark.}},
ISBN = {{978-0-9758400-4-7}},
Keywords = {{Management strategy evaluation; FLR; mixed fisheries; North Sea
   roundfish}},
Research-Areas = {{Computer Science; Environmental Sciences \& Ecology; Science \&
   Technology - Other Topics}},
Web-of-Science-Categories  = {{Computer Science, Information Systems; Ecology; Environmental Sciences;
   Multidisciplinary Sciences}},
Author-Email = {{clu@difres.dk}},
ResearcherID-Numbers = {{Hamon, Katell/C-7206-2011}},
ORCID-Numbers = {{Hamon, Katell/0000-0002-6419-8947}},
Number-of-Cited-References = {{12}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Doc-Delivery-Number = {{BUQ25}},
Unique-ID = {{ISI:000290030702126}},
OA = {{No}},
DA = {{2017-08-17}},
}

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T.},\nEditor = {{Oxley, L and Kulasiri, D}},\nTitle = {{Evaluation of Management Strategies for the Mixed North Sea Roundfish\n Fisheries with the FLR Framework}},\nBooktitle = {{MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: LAND,\n WATER AND ENVIRONMENTAL MANAGEMENT: INTEGRATED SYSTEMS FOR\n SUSTAINABILITY}},\nYear = {{2007}},\nPages = {{2813-2819}},\nNote = {{International Congress on Modelling and Simulation (MODSIM07),\n Christchurch, NEW ZEALAND, DEC 10-13, 2007}},\nOrganization = {{Lincoln Univ; HEMA Consulting Pty Ltd; Modelling and Simulat Soc\n Australia \\& New Zealand (MSSANZ); Univ Canterbury; SGI; Lincoln\n Ventures Ltd; Hoare Res Software Ltd; IMACS; IEMSS; Environm Modelling\n \\& Software; IBM}},\nAbstract = {{Most demersal stocks keep being overexploited despite the numerous\n management measures implemented. New approaches in methods for providing\n scientific advice to fisheries management include simulation-based MSE\n (Management Strategy Evaluation), aiming at identifying management\n strategies robust to various sources of uncertainties. MSE are\n simulation models including management scenarios and allowing for\n testing alternative plausible hypotheses about stocks and fleets\n dynamics.\n FLR (Fisheries Library in R) is an open-source collection of tools\n providing a generic modelling framework for constructing such MSE. 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