The five Regional Fishery Management Organizations dedicated to tunas (tRFMOs) are all either developing or implementing Management Strategy Evaluations (MSEs) to provide advice for the stocks under their competencies. Providing a comparative overview will help tRFMOs to learn from one another and to collaborate on common solutions and may also help to more clearly define the challenges of building decision support tools in contexts of large scientific uncertainty and where management requires cooperation across multiple stakeholders characterized by unequal power and divergent interests. For example, our overview showed that in most cases, a grid‐based design with an emphasis on structural uncertainty has been adopted. However, uncertainties such as sampling errors and non‐stationarity of important ecological processes, which are of potentially equal significance for demonstrating robustness of management procedures, were not considered. This paper identifies key issues for operating model (OM) design that challenges the tRFMOs, compares how these challenges are being met, summarizes what lessons have been learned and suggests a way forward. Although the current approach of using assessment models as the basis for OM design is a reasonable starting point, improvements should be made to the conditioning of OMs, especially with respect to enabling the inclusion of other important processes and uncertainties that are difficult to account for in stock assessments but that can crucially affect the robustness of advice. Attempts should also be made to improve documentation and communication of uncertainties that are included and those that are excluded from consideration in the process.

中文翻译：

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金枪鱼区域渔业管理组织的运作模式设计：当前做法，问题和影响

五个致力于金枪鱼（tRFMO）的区域渔业管理组织都在制定或实施管理策略评估（MSE），以根据其能力为种群提供建议。提供比较的概述将帮助tRFMO相互学习并就共同的解决方案进行协作，还可能有助于更清晰地定义在科学不确定性大的情况下，以及管理需要多个以不平等为特征的利益相关者之间进行合作的情况下，构建决策支持工具所面临的挑战。权力和利益分歧。例如，我们的概述显示，在大多数情况下，已采用基于网格的设计，其中强调结构的不确定性。但是，不确定性，例如抽样误差和重要生态过程的不稳定，没有考虑到对于证明管理程序的鲁棒性可能具有同等重要的意义。本文确定了对tRFMO提出挑战的运营模型（OM）设计的关键问题，比较了如何应对这些挑战，总结了已学到的经验教训并提出了前进的道路。尽管当前使用评估模型作为OM设计基础的方法是一个合理的起点，但是应该对OM的条件进行改进，尤其是在使其他重要过程和不确定性能够包含在内的过程中。库存评估，但这可能会严重影响建议的有效性。