Management strategy evaluation for North Sea haddock. Needle, C. L. FISHERIES RESEARCH, 94(2, SI):141-150, ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, NOV, 2008.
doi  abstract   bibtex   
North Sea haddock (Melanogrammus aeglefinus) are managed under a plan agreed between the European Union (EU) and Norway. This management plan was reviewed during 2006. As part of the review process, a quantitative management strategy evaluation (MSE) was undertaken, both of the existing plan and of proposed modifications. The evaluation was implemented in the R programming system, using FLR libraries, and was based on stochastic simulations of the complete fishery system (including a biological operating model, a knowledge production model with ``live'' stock assessments, and a simple implementation model). The generation of appropriate time-series of recruitment was of key importance for a stock like North Sea haddock which produces sporadic large year-classes. Although some refinement of growth and discard models is still required, tentative conclusions can be reached on the likely efficacy of different management plans. Well-defined MSEs have the potential to impart useful information for assessment scientists, fisheries managers and stakeholders. Crown Copyright (C) 2008 Published by Elsevier B.V. All rights reserved.
@article{ ISI:000261353900005,
Author = {Needle, Coby L.},
Title = {{Management strategy evaluation for North Sea haddock}},
Journal = {{FISHERIES RESEARCH}},
Year = {{2008}},
Volume = {{94}},
Number = {{2, SI}},
Pages = {{141-150}},
Month = {{NOV}},
Abstract = {{North Sea haddock (Melanogrammus aeglefinus) are managed under a plan
   agreed between the European Union (EU) and Norway. This management plan
   was reviewed during 2006. As part of the review process, a quantitative
   management strategy evaluation (MSE) was undertaken, both of the
   existing plan and of proposed modifications. The evaluation was
   implemented in the R programming system, using FLR libraries, and was
   based on stochastic simulations of the complete fishery system
   (including a biological operating model, a knowledge production model
   with ``live{''} stock assessments, and a simple implementation model).
   The generation of appropriate time-series of recruitment was of key
   importance for a stock like North Sea haddock which produces sporadic
   large year-classes. Although some refinement of growth and discard
   models is still required, tentative conclusions can be reached on the
   likely efficacy of different management plans. Well-defined MSEs have
   the potential to impart useful information for assessment scientists,
   fisheries managers and stakeholders. Crown Copyright (C) 2008 Published
   by Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Needle, CL (Reprint Author), FRS Marine Lab, POB 101,375 Victoria Rd, Aberdeen AB11 9DB, Scotland.
   FRS Marine Lab, Aberdeen AB11 9DB, Scotland.}},
DOI = {{10.1016/j.fishres.2008.03.004}},
ISSN = {{0165-7836}},
Keywords = {{Management strategy evaluations; Harvest control rules; North Sea
   haddock; Computer simulation}},
Keywords-Plus = {{FISHERY}},
Research-Areas = {{Fisheries}},
Web-of-Science-Categories  = {{Fisheries}},
Author-Email = {{needlec@marlab.ac.uk}},
Number-of-Cited-References = {{16}},
Times-Cited = {{13}},
Usage-Count-Last-180-days = {{1}},
Usage-Count-Since-2013 = {{5}},
Journal-ISO = {{Fish Res.}},
Doc-Delivery-Number = {{378VY}},
Unique-ID = {{ISI:000261353900005}},
OA = {{No}},
DA = {{2017-08-17}},
}

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