Abstract

Management Strategy Evaluation (MSE) is a framework to explore the tradeoffs amongst fishing strategies and assess the consequences for achieving management goals provided sources of uncertainty by means of simulation models (referred to as operating models). Single-species stock assessment often implements simulations for MSE, but the operating models often omit the dynamics of key biological interactions. This could be a disadvantage for the evaluation of tradeoffs as species interactions could have an impact on the performance of harvesting strategies. Tools for conducting ecosystem-based fisheries management (EBFM), such as integrated ecosystem assessments, include executing MSEs with ecosystem models, many of which explicitly include biological interactions. Although the support for EBFM has grown over the years, the amount of information provided by MSEs based on ecosystem models appears to be limited. A clear summary of such efforts would provide beneficial information for future efforts for EBFM. Herein, an inventory of applications simulating MSEs with ecosystem models that explicitly include biological interactions was developed based on findings from a literature review. First, the methodologies and foci across all identified applications are analyzed. Next, summaries of each application are provided. Lastly, general observations are provided along with recommendations for future applications.

摘要

管理策略评估 (MSE) 是一个框架，用于探索捕捞策略之间的权衡，并通过模拟模型（称为操作模型）评估实现管理目标的后果，提供不确定性来源。单一物种种群评估通常对 MSE 进行模拟，但操作模型通常会忽略关键生物相互作用的动态。这对于权衡评估可能是不利的，因为物种相互作用可能会对收获策略的性能产生影响。进行基于生态系统的渔业管理 (EBFM) 的工具，例如综合生态系统评估，包括使用生态系统模型执行 MSE，其中许多明确包括生物相互作用。尽管对 EBFM 的支持多年来一直在增长，基于生态系统模型的 MSE 提供的信息量似乎有限。对这些努力的清晰总结将为 EBFM 的未来努力提供有益的信息。在此，基于文献综述的发现开发了一个应用程序清单，这些应用程序模拟具有明确包含生物相互作用的生态系统模型的 MSE。首先，分析了所有已识别应用程序的方法和重点。接下来，提供每个应用程序的摘要。最后，提供了一般观察以及对未来应用的建议。根据文献综述的发现，开发了一个应用程序清单，用生态系统模型模拟 MSE，其中明确包含生物相互作用。首先，分析了所有已识别应用程序的方法和重点。接下来，提供每个应用程序的摘要。最后，提供了一般观察以及对未来应用的建议。根据文献综述的发现，开发了一个应用程序清单，用生态系统模型模拟 MSE，其中明确包含生物相互作用。首先，分析了所有已识别应用程序的方法和重点。接下来，提供每个应用程序的摘要。最后，提供了一般观察以及对未来应用的建议。