Canadian Journal of Fisheries and Aquatic Sciences, Ahead of Print.
Different approaches have been used to identify fishery stock status when only biomass and catch data are available. However, the performance of the approaches may be affected by the uncertainties derived from different sources (e.g., model misspecification, stock productivity changing, observation error). Here, we propose that the observed biomass associated with the highest calculated surplus production can be used as an indicator (Bhighest_S) to identify stock status. We develop a management procedure (MP) atop a widely used method (i.e., Gcontrol) by incorporating Bhighest_S in the harvest control rule. Two simulations are conducted to compare the stock status identification approaches and corresponding MPs. Using Bhighest_S to identify stock status performs better than surplus production modeling approaches in simulated regime shift scenarios. Compared with the old version of Gcontrol, incorporating Bhighest_S or estimated BMSY in the harvest control rule provides more stable and higher yields. This study contributes to the development and evaluation of indicator-based stock status identification approaches and MPs that only require biomass and catch data.

中文翻译：

---

比较一套基于剩余生产的库存状态识别方法和管理程序

《加拿大渔业和水生科学杂志》，印刷前。
当只有生物量和捕捞数据可用时，已采用了不同的方法来确定渔业资源状况。但是，这些方法的性能可能会受到来自不同来源的不确定性的影响（例如，模型规格不正确，股票生产率变化，观察误差）。在这里，我们建议将观察到的与计算出的最高剩余生产量最高相关的生物量用作指标（Bhighest_S），以识别库存状态。通过将Bhighest_S纳入收获控制规则，我们在广泛使用的方法（即Gcontrol）之上开发了管理程序（MP）。进行了两个模拟，以比较库存状态识别方法和相应的MP。在模拟的制度转移情况下，使用Bhighest_S识别库存状态要比过剩的生产建模方法更好。与旧版本的Gcontrol相比，将Bhighest_S或估计的BMSY纳入收获控制规则可提供更稳定和更高的产量。这项研究有助于开发和评估仅基于生物量和捕获数据的基于指标的种群状态识别方法和国会议员。