Analyzing fish spatial and temporal distribution patterns using uncalibrated acoustic data from multiple vessels ...

• Main Authors: Barbeaux, Steven J., Horne, John K., Dorn, Martin
• Format: Conference Object
• Language: unknown
• Published: ASC 2009 - Theme session I 2024
• Subjects: Technologies and data; Ecosystem observation, processes and dynamics; Pressures, impacts, conservation, and management; Bering Sea; Theragra chalcogramma
• Online Access: https://dx.doi.org/10.17895/ices.pub.25071398; https://ices-library.figshare.com/articles/conference_contribution/Analyzing_fish_spatial_and_temporal_distribution_patterns_using_uncalibrated_acoustic_data_from_multiple_vessels/25071398

No abstracts are to be cited without prior reference to the author.Acoustic density data were collected from three commercial fishing vessels participating in the 2003 eastern Bering Sea walleye pollock (Theragra chalcogramma) fishery. Unique challenges encountered with these data included: 1) uncalibrated data from each vessel, 2) no formal sampling design, 3) data volumes that exceeded computing capacity, 4) unbalanced temporal and special coverage, 5) a high degree of spatial autocorrelation, and 6) heteroskedastic density distribution between light and dark hours. We assess spatial and temporal structure of pollock and present a stratified random sampling technique for subsampling the data and addressing unbalanced data collection, while retaining the spatial and temporal attributes of the pollock distribution within the data. A general additive mixed model (GAMM) with an internal correlation structure and heterogeneous variance was used to inter-calibrate the data and to evaluate spatial and temporal ...