Management strategy evaluation: best practices. Punt, A. E., Butterworth, D. S., de Moor, C. L., de Oliveira, J. A. A., & Haddon, M. FISH AND FISHERIES, 17(2):303-334, WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, JUN, 2016.
doi  abstract   bibtex   
Management strategy evaluation (MSE) involves using simulation to compare the relative effectiveness for achieving management objectives of different combinations of data collection schemes, methods of analysis and subsequent processes leading to management actions. MSE can be used to identify a `best' management strategy among a set of candidate strategies, or to determine how well an existing strategy performs. The ability of MSE to facilitate fisheries management achieving its aims depends on how well uncertainty is represented, and how effectively the results of simulations are summarized and presented to the decision-makers. Key challenges for effective use of MSE therefore include characterizing objectives and uncertainty, assigning plausibility ranks to the trials considered, and working with decision-makers to interpret and implement the results of the MSE. This paper explores how MSEs are conducted and characterizes current `best practice' guidelines, while also indicating whether and how these best practices were applied to two case-studies: the Bering-Chukchi-Beaufort Seas bowhead whales (Balaena mysticetus; Balaenidae) and the northern subpopulation of Pacific sardine (Sardinops sagax caerulea; Clupeidae).
@article{ ISI:000382495500002,
Author = {Punt, Andre E. and Butterworth, Doug S. and de Moor, Carryn L. and de
   Oliveira, Jose A. A. and Haddon, Malcolm},
Title = {{Management strategy evaluation: best practices}},
Journal = {{FISH AND FISHERIES}},
Year = {{2016}},
Volume = {{17}},
Number = {{2}},
Pages = {{303-334}},
Month = {{JUN}},
Abstract = {{Management strategy evaluation (MSE) involves using simulation to
   compare the relative effectiveness for achieving management objectives
   of different combinations of data collection schemes, methods of
   analysis and subsequent processes leading to management actions. MSE can
   be used to identify a `best' management strategy among a set of
   candidate strategies, or to determine how well an existing strategy
   performs. The ability of MSE to facilitate fisheries management
   achieving its aims depends on how well uncertainty is represented, and
   how effectively the results of simulations are summarized and presented
   to the decision-makers. Key challenges for effective use of MSE
   therefore include characterizing objectives and uncertainty, assigning
   plausibility ranks to the trials considered, and working with
   decision-makers to interpret and implement the results of the MSE. This
   paper explores how MSEs are conducted and characterizes current `best
   practice' guidelines, while also indicating whether and how these best
   practices were applied to two case-studies: the Bering-Chukchi-Beaufort
   Seas bowhead whales (Balaena mysticetus; Balaenidae) and the northern
   subpopulation of Pacific sardine (Sardinops sagax caerulea; Clupeidae).}},
Publisher = {{WILEY-BLACKWELL}},
Address = {{111 RIVER ST, HOBOKEN 07030-5774, NJ USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Punt, AE (Reprint Author), Univ Washington, Sch Aquat \& Fishery Sci, Seattle, WA 98195 USA.
   Punt, Andre E., Univ Washington, Sch Aquat \& Fishery Sci, Seattle, WA 98195 USA.
   Punt, Andre E.; Haddon, Malcolm, CSIRO Oceans \& Atmosphere, GPO Box 1538, Hobart, Tas 7001, Australia.
   Butterworth, Doug S.; de Moor, Carryn L., Univ Cape Town, Dept Math \& Appl Math, Marine Resource Assessment \& Management Grp MARAM, ZA-7701 Rondebosch, South Africa.
   de Oliveira, Jose A. A., CEFAS Lowestoft Lab, Pakefield Rd, Lowestoft NR33 0HT, Suffolk, England.}},
DOI = {{10.1111/faf.12104}},
ISSN = {{1467-2960}},
EISSN = {{1467-2979}},
Keywords = {{Fisheries management; management procedure; management strategy
   evaluation; simulation; stakeholders; uncertainty}},
Keywords-Plus = {{DATA-POOR FISHERIES; POLLOCK THERAGRA-CHALCOGRAMMA; AFRICAN PELAGIC
   FISHERY; MARINE PROTECTED AREAS; NORTHERN PRAWN FISHERY; ICES ROUNDFISH
   STOCKS; SOUTHERN BLUEFIN TUNA; EASTERN BERING-SEA; HARVEST STRATEGIES;
   ROCK LOBSTER}},
Research-Areas = {{Fisheries}},
Web-of-Science-Categories  = {{Fisheries}},
Author-Email = {{aepunt@uw.edu}},
Funding-Acknowledgement = {{Joint Institute for the Study of the Atmosphere and Ocean (JISAO) under
   NOAA {[}NA08OAR4320899, 2370]}},
Funding-Text = {{This paper benefited from comments by Tony Smith, Eva Plaganyi and Geoff
   Tuck (CSIRO Wealth from Oceans Flagship), Kelli Johnson (UW), two
   anonymous reviewers and the editor. This publication is {[}partially]
   funded by the Joint Institute for the Study of the Atmosphere and Ocean
   (JISAO) under NOAA Cooperative Agreement No. NA08OAR4320899 Contribution
   No. 2370.}},
Number-of-Cited-References = {{166}},
Times-Cited = {{31}},
Usage-Count-Last-180-days = {{16}},
Usage-Count-Since-2013 = {{32}},
Journal-ISO = {{Fish. Fish.}},
Doc-Delivery-Number = {{DU8WE}},
Unique-ID = {{ISI:000382495500002}},
OA = {{No}},
ESI-Highly-Cited-Paper = {{Y}},
ESI-Hot-Paper = {{Y}},
DA = {{2017-08-17}},
}
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