The spatial distribution of spiny dogfish (Squalus acanthias) in the Gulf of Alaska: the use of fishery-dependent data, fishery-independent data, and generalized modelling for the spatial management of catch and bycatch ...

• Main Authors: Gasper, Jason R., Kruse, Gordon H.
• Format: Conference Object
• Language: unknown
• Published: ASC 2010 - Theme session E 2024
• Subjects: Fisheries and aquaculture; Pressures, impacts, conservation, and management; Gulf of Alaska; Alaska; spiny dogfish; Squalus acanthias
• Online Access: https://dx.doi.org/10.17895/ices.pub.25069121.v1; https://ices-library.figshare.com/articles/conference_contribution/The_spatial_distribution_of_spiny_dogfish_Squalus_acanthias_in_the_Gulf_of_Alaska_the_use_of_fishery-dependent_data_fishery-independent_data_and_generalized_modelling_for_the_spatial_management_of_catch_and_bycatch/25069121/1

No abstracts are to be cited without prior reference to the author.The spiny dogfish (Squalus acanthias) is a common bycatch species in commercial longline fisheries in the Gulf of Alaska. This small shark is widely considered as a nuisance and most dogfish bycatch is discarded. Their spatial distribution in the Gulf of Alaska is poorly understood. A better understanding of areas of high bycatch would provide critical information to fishery managers, whether they seek to convert discards into valuable fishery landings or whether they seek to reduce fishing mortality on this long-lived species. We analysed the spatial distribution of spiny dogfish from fishery and survey data collected between 1996 and 2008 using generalized additive and generalized linear modelling techniques. Poisson, negative binomial, and quasi-Poisson error structures were investigated using goodness-of-fit statistics. The quasi-Poisson generalized additive model provided the best fit for predicting counts of dogfish and accommodating ...