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Management strategy evaluation: best practices
Author(s) -
Punt André E,
Butterworth Doug S,
Moor Carryn L,
De Oliveira José A A,
Haddon Malcolm
Publication year - 2016
Publication title -
fish and fisheries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.747
H-Index - 109
eISSN - 1467-2979
pISSN - 1467-2960
DOI - 10.1111/faf.12104
Subject(s) - best practice , computer science , set (abstract data type) , operations research , mathematics , economics , management , programming language
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 MSE s are conducted and characterizes current ‘best practice’ guidelines, while also indicating whether and how these best practices were applied to two case‐studies: the B ering– C hukchi– B eaufort Seas bowhead whales ( B alaena mysticetus ; B alaenidae) and the northern subpopulation of P acific sardine ( S ardinops sagax caerulea; C lupeidae).