Standardized catch per unit effort (CPUE) is frequently used to represent annual fish-stock abundance trends. In multispecies fisheries, the catchability coefficient differs depending on the target strategy. Consideration of the target strategy in CPUE standardization is therefore crucial in improving the accuracy and precision of annual CPUE estimates. This study focuses on the potential of a finite mixture model (FMM), where target species and their annual trends are estimated simultaneously in a single model. The eight candidates of CPUE standardization methods—including the FMM—were used to evaluate the methodological performance as to whether they could identify the target strategy. A numerical simulation was undertaken using simplified data that mimic a Japanese longline fishery considering the target change over years, area effect, and multispecies abundance trends. Our simulation study indicated that the FMM outperformed other methods in the various scenarios, and therefore it is concluded that the FMM is an effective and robust methodology for clarifying the target strategy in the modeling of CPUE standardization.

标准化单位捕捞努力量（CPUE）通常用于表示年度鱼类资源丰富度趋势。在多品种渔业中，可捕性系数根据目标策略的不同而不同。因此，在提高CPUE年度估算的准确性和准确性方面，考虑CPUE标准化的目标策略至关重要。这项研究的重点是有限混合模型（FMM）的潜力，其中在单个模型中同时估算目标物种及其年度趋势。CPUE标准化方法的八种候选方法（包括FMM）被用来评估方法学性能，以确定它们是否可以确定目标策略。使用简化的数据进行了数值模拟，该模拟数据模拟了日本延绳钓渔业，并考虑了多年来的目标变化，面积效应，以及多物种的丰富趋势。我们的仿真研究表明，在各种情况下，FMM的性能均优于其他方法，因此得出的结论是，FMM是澄清CPUE标准化建模中的目标策略的有效且鲁棒的方法。