The main Hawaiian islands Deep 7 bottomfish fishery is a multispecies fishery that uses hook-and-line gear to catch seven primary species and is currently managed and assessed as a single population. Management plans support, and recent assessment reviews recommend, assessing species on an individual basis. When fisheries catch multiple species, but information about abundance is desired for a single species, it is important to use data subsets that reliably inform abundance trends for that individual species. We use a previously unanalyzed dataset collected from a subset of Deep 7 bottomfish fishermen who reported targeting practices –including the species or group of species targeted, fishing practices, catches, and environmental variables– while fishing in the summer of 2016. Using three statistical classification methods, we show that targeting occurs, and is primarily for two groups: opakapaka (Pristipomoides filamentosus), and a combined group of ehu (Etelis carbunculus) and onaga (Etelis coruscans). Depth was a significant explanatory variable for targeting, statistically distinguishing shallower opakapaka targeting from deeper ehu/onaga targeting at 188 m. In the absence of information about depth, catch composition data can be used to distinguish between opakapaka and ehu/onaga groups nearly as well as when depth is included. Applying these methods to the full fisher reporting database revealed that an opakapaka group and an ehu/onaga group could be distinguished. Further information on targeting within the fisher reported data, or consistent information on depth if targeting preferences cannot be reported, would improve classification. Ultimately, any of the methods used herein can be applied to filter fishing events based on predicted targeting to produce more representative indices of abundance for use in single-species stock assessments.

夏威夷主要岛屿 Deep 7 底鱼渔业是一种多物种渔业，使用钩线渔具捕获 7 种主要物种，目前作为单一种群进行管理和评估。管理计划支持，最近的评估审查建议，在个体基础上评估物种。当渔业捕捞多个物种，但需要单个物种的丰度信息时，重要的是使用数据子集来可靠地告知单个物种的丰度趋势。我们使用了以前未分析的数据集，这些数据集是从 Deep 7 底鱼渔民的一个子集中收集的，这些渔民报告了 2016 年夏季捕鱼时的目标实践——包括目标物种或物种组、捕鱼实践、渔获量和环境变量。使用三种统计分类方法，Pristipomoides filamentosus )，以及一组 ehu ( Etelis carbunculus ) 和 onaga ( Etelis coruscans )）。深度是一个重要的目标解释变量，从统计上区分较浅的 opakapaka 目标与 188 m 处的较深的 ehu/onaga 目标。在缺乏关于深度的信息的情况下，渔获物组成数据可用于区分 opakapaka 和 ehu/onaga 组，几乎以及当包括深度时。将这些方法应用于完整的渔民报告数据库显示可以区分 opakapaka 组和 ehu/onaga 组。渔民报告数据中关于目标的更多信息，或者如果无法报告目标偏好，则关于深度的一致信息将改进分类。最终，