Correction: Importance of near-bottom oceanographic data in modeling the distribution of eulachon bycatch in the U.S. West Coast shrimp trawl fishery

Adding/removing text During the review process edits were made which changed a conclusion but none of us caught this. The goal is to address this here. The second correction is just grammatical.A correction has been made to the section Section 3, subsection 3.1 Paragraph 2, "All fixed effects (year and substrate) were present in each of the six SDMs. The SDM trends were highly similar across all six SDMs (Online Supplementary Figures S1,S2), though the first two years had more variability than the remaining years. Due to the similarity we only present the plots derived from Equation 5. Eulachon abundance was highest in rock habitats, though high variance in abundance was also associated with this habitat type (Figure 3). Abundance of eulachon was highly variable between years with the highest year 2013 and the lowest being 2017 (Figure 4)."The original version of this article has been updated.A correction has been made to the section Section 4, Paragraph 3 "The strong association of eulachon with southward currents suggests higher prevalence during the summer months, following the spring transition when the California Current dominates along the US West Coast (Checkley and Barth, 2009). Additionally, the observed association with onshore surface currents and offshore currents at depth indicates a preference for downwelling-favorable conditions (Allen et al., 1995;Allen and Newberger, 1996). As monsoonal upwelling system, winds from the north transport cold waters at depth across the shelf (positive cross-shelf velocity) and up to the surface. These wind periods are intermittent and when they slow or stop, downwelling begins pushing the dense cold waters near the surface towards the shore causing them to sink and push the cold waters at depth offshore (Austin and Lentz, 2002;Jacox et al., 2018). Ultimately, the crossshelf velocities are negative at depth and positive near the surface, the pattern observed in our model. Additionally, in our model, eulachon presence was greatest where the coldest near-bottom waters coincided with the warmest surface waters. Given that downwelling forces the colder waters offshore at depth this likely suggests that catches are linked to the onset of downwelling or just following an upwelling event. Without current data, one might incorrectly attribute temperature patterns alone to upwelling conditions. Thus, combining temperature and current data in upwelling systems significantly enhances the interpretability of SDMs. Given that fronts are identified in the surface waters using surface temperature it is not surprising this covariate was not included in the best fit SDMs as those were based on nearbottom variables."A correction has been made to the section Section 4, Paragraph 4 "While incorporating oceanographic variables into abundance indices is valuable for stock assessments, a more practical application of our findings lies in habitat preferences observed. Eulachon were more frequently captured over rocky reefs (Anderson, 2022). Many vessels in the shrimp fishery are equipped with real-time bottom typing systems that allow fishers to identify substrate types during operations. These tools have been shown to be highly effective at identifying benthic habitats during operations. Further, the data are stored and updated ensuring continued correction and enhanced knowledge of their location. By avoiding rocky habitats, fishers could substantially reduce incidental bycatch of eulachon. Rocky habitats do not make up a large percentage of the benthic habitat. As such avoiding them would not ultimately reduce the effectiveness of the shrimp fishery. Further, eulachon catch was reduced by 0.0109 mt per trawl over the interquartile range of day of the year. This suggests that both avoiding rock and a later start would potentially decrease catch. Future scenario analyses should be conducted to assess the relative impact of implement one or both of these management suggestions."A correction has been made to the section Section 5, Paragraph 1 "In summary, the SDMs developed here highlight the critical value of near-bottom oceanographic data when assessing the abundance of species with demersal life histories. From a practical management perspective, the finding that rock habitats are associated with higher eulachon abundance presents a simple and actionable best practice: fishers can reduce bycatch by avoiding rock substrates. Future work should conduct scenario analyses to assess the impact of implement habitat or seasonal regulation changes to reduce eulachon bycatch. Although the SDM based abundance index did not align with the stock assessment in all years, its overall performance was strong, indicating potential value as a supplemental input for future stock assessments. The SDM framework, incorporating dynamic near-bottom and static ocean climate variables, may prove to be a functional framework for numerous other data limited demersal marine species"The original version of this article has been updated.for a reason not seen here, please contact the journal's editorial office.