Publication | Closed Access
Management strategy evaluation: best practices
597
Citations
113
References
2014
Year
Fishery AssessmentQuantitative MethodsEducationDecision ScienceStrategic PracticeMse SManagement DevelopmentManagement EffectivenessP Acific SardineRisk ManagementManagementFishery ManagementBiostatisticsMining ManagementMultispecies ManagementMarine ManagementStrategyStrategic ManagementManagement Strategy EvaluationManagement TechniqueDecision-makingBusinessBusiness StrategyFisheries ManagementManagement Objectives
Management strategy evaluation uses simulation to compare the effectiveness of different data collection, analysis, and management action combinations, aiming to identify the best strategy or assess existing ones, but its success depends on accurately representing uncertainty and effectively summarizing results for decision‑makers, with key challenges including defining objectives, quantifying uncertainty, ranking plausibility, and facilitating interpretation. This paper investigates how MSEs are conducted, characterizes current best‑practice guidelines, and examines their application to bowhead whale and Pacific sardine case studies. The authors review best‑practice guidelines for MSE and apply them to two case studies—Bering‑Chukchi‑Beaufort Sea bowhead whales and northern Pacific sardine—to assess implementation. The study demonstrates that the best‑practice guidelines were applied to both case studies, illustrating how they can be operationalized in real‑world fisheries management.
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 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).
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