A Phenomenological Model to Predict the Density and Distribution of Pacific Hake by Season and Geography
Abstract
A model has been developed to describe the migration and spatial distribution of hake at a time resolution of a month and at a spatial resolution of 10 km. The migration is empirical, with scaling parameters based on known endpoints and anecdotal observations from the fishery. Oceanographic and bathymetric data at a spatial resolution of 10 km are used as a geographic framework in which the migration is placed, allowing the formation of raster images of fish density. A swimbladder scattering model is used to convert fish density images to low-frequency volume scatter images. Model predictions match data with a +/- 3 dB accuracy for most locations but with some sites still poorly predicted. Complex features of fish behavior and migration and interaction with oceanography are suggested as the cause of the disparity. The model is suggested as useful for generalized volume scattering predictions over shelf-wide geographic areas in seasons or locations where volume scattering data are sparse.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 20, 2000
- Accession Number
- ADA375753
Entities
People
- Redwood W. Nero
Organizations
- United States Naval Research Laboratory