An integrated ecosystem assessment (IEA) is a framework that organizes science to aid in the transition from traditional single-species management towards ecosystem-based management. Within the Gulf of Alaska, we started a small-scale IEA framework with active engagement of local stakeholders in the fishing community of Sitka. The initial step of this framework was the development of conceptual models. Here, we present a co-produced conceptual model using data gathered from participatory focus groups and a literature review of ecosystem attributes driving the abundance of sablefish (Anoplopoma fimbria). We then assembled a qualitative network model (QNM), a mathematical representation of a conceptual system in which perturbations of individual components can be assessed for their qualitative effect. Simulations were conducted to test different biophysical scenarios, while evaluating tradeoffs across ecological and human dimension components. In contrast to large adult sablefish, juvenile and small adults responded similarly to most biophysical conditions. In general, human dimension components responded negatively to the tested scenarios. These results highlight the potential need for management strategies that differentiate between small and large adults, particularly if current sablefish stock assessment trends persist, such as the lack of older fish contributing to spawning biomass and uncertainties in estimates of year-class strength.

综合生态系统评估（IEA）是一个组织科学的框架，以帮助从传统的单一物种管理向基于生态系统的管理过渡。在阿拉斯加湾内，我们启动了小型IEA框架，当地利益相关者积极参与了锡特卡捕鱼社区。该框架的第一步是概念模型的开发。在这里，我们提出了一个共同参与的概念模型，该模型使用了从参与性焦点小组收集的数据以及对导致黑driving（Anoplopoma fimbria）丰富的生态系统属性进行了文献综述。）。然后，我们组装了定性网络模型（QNM），该模型是概念系统的数学表示，其中可以评估各个组件的摄动对其定性效果的影响。进行了仿真以测试不同的生物物理场景，同时评估了生态和人类维度组成部分之间的权衡。与大型成年黑貂相反，幼年和小型成年对大多数生物物理条件的反应相似。总的来说，人类维度组件对测试场景的反应是负面的。这些结果凸显出可能需要区分成年和成年成年的管理策略，尤其是如果当前的黑鱼种群评估趋势持续存在，例如缺少成年产卵的生物导致生鱼数量增加以及年级强度估计值的不确定性时。