@article{ ISI:000275770700007,
Author = {Pomarede, Marine and Hillary, Richard and Ibaibarriaga, Leire and
   Bogaards, Johannes and Apostolaki, Panayiota},
Title = {{Evaluating the performance of survey-based operational management
   procedures}},
Journal = {{AQUATIC LIVING RESOURCES}},
Year = {{2010}},
Volume = {{23}},
Number = {{1}},
Pages = {{77-94}},
Month = {{JAN-MAR}},
Abstract = {{The design and evaluation of survey-based management strategies is
   addressed in this article, using three case-study fisheries: North Sea
   herring, Bay of Biscay anchovy and North Sea cod, with a brief history
   and the main management issues with each fishery outlined. A range of
   operational management procedures for the case study stocks were
   designed and evaluated using trends that may be derived from survey
   indices (spawner biomass, year-class strength and total mortality) with
   an array of simple and more structured observation error regimes
   simulated. Model-free and model-based indicators of stock status were
   employed in the management procedures. On the basis of stochastic
   stock-specific simulations, we identified the following key determinants
   of successful management procedures: (i) adequate specification of the
   stock-recruit relationship (model structure, parameter estimates and
   variability), (ii) knowledge of the magnitude and structure of the
   variation in the survey indices, and (iii) explication of the particular
   management objectives, when assessing management performance. More
   conservative harvesting strategies are required to meet specified
   targets in the presence of increasing stochasticity, due to both process
   and observation error. It was seen that survey-based operational
   management procedures can perform well in the absence of commercial
   data, and can also inform aspects of survey design with respect to
   acceptable levels of error or bias in the surveys.}},
Publisher = {{EDP SCIENCES S A}},
Address = {{17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, F-91944 LES ULIS CEDEX A,
   FRANCE}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Pomarede, M (Reprint Author), Imperial Coll, Fisheries Grp, Div Biol, Silwood Pk, Ascot SL5 7PY, Berks, England.
   Pomarede, Marine; Hillary, Richard, Imperial Coll, Fisheries Grp, Div Biol, Ascot SL5 7PY, Berks, England.
   Ibaibarriaga, Leire, AZTI, Pasajes 20110, Spain.
   Bogaards, Johannes, IMARES, NL-1970 AB Ijmuiden, Netherlands.
   Apostolaki, Panayiota, CEFAS, Lowestoft NR33 OHT, Suffolk, England.}},
DOI = {{10.1051/alr/2010005}},
ISSN = {{0990-7440}},
Keywords = {{FLR fishery simulation system; Management strategy evaluation; Fish
   survey; Fishery-independent data; Herring; Anchovy; Cod; North Sea;
   Biscay}},
Keywords-Plus = {{INTERNATIONAL-WHALING-COMMISSION; STOCK ASSESSMENT METHODS; AFRICAN
   PELAGIC FISHERY; STRATEGY EVALUATION; SOUTH; EXPERIENCES; INDEXES;
   MODEL; FLR}},
Research-Areas = {{Fisheries; Marine \& Freshwater Biology}},
Web-of-Science-Categories  = {{Fisheries; Marine \& Freshwater Biology}},
Author-Email = {{marine.pomarede@imperial.ac.uk}},
ResearcherID-Numbers = {{Hillary, Richard/L-3300-2013
   Ibaibarriaga, Leire/C-2483-2009}},
ORCID-Numbers = {{Ibaibarriaga, Leire/0000-0001-5619-1174}},
Number-of-Cited-References = {{49}},
Times-Cited = {{5}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Aquat. Living Resour.}},
Doc-Delivery-Number = {{571QX}},
Unique-ID = {{ISI:000275770700007}},
OA = {{No}},
DA = {{2017-08-17}},
}

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A range of operational management procedures for the case study stocks were designed and evaluated using trends that may be derived from survey indices (spawner biomass, year-class strength and total mortality) with an array of simple and more structured observation error regimes simulated. Model-free and model-based indicators of stock status were employed in the management procedures. On the basis of stochastic stock-specific simulations, we identified the following key determinants of successful management procedures: (i) adequate specification of the stock-recruit relationship (model structure, parameter estimates and variability), (ii) knowledge of the magnitude and structure of the variation in the survey indices, and (iii) explication of the particular management objectives, when assessing management performance. More conservative harvesting strategies are required to meet specified targets in the presence of increasing stochasticity, due to both process and observation error. 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More\n conservative harvesting strategies are required to meet specified\n targets in the presence of increasing stochasticity, due to both process\n and observation error. 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