
doi: 10.1121/1.4906177
pmid: 25698030
Mesopelagic fish of the Myctophidae and Sternoptychidae families dominate the biomass of the oceanic deep scattering layers and, therefore, have important ecological roles within these ecosystems. Interest in the commercial exploitation of these fish is growing, so the development of techniques for estimating their abundance, distribution and, ultimately, sustainable exploitation are essential. The acoustic backscattering characteristics for two size classes of Maurolicus muelleri and Benthosema glaciale are reported here based on swimbladder morphology derived from digitized soft x-ray images, and empirical (in situ) measurements of target strength (TS) derived from an acoustic survey in a Norwegian Sea. A backscattering model based on a gas-filled prolate spheroid was used to predict the theoretical TS for both species across a frequency range between 0 and 250 kHz. Sensitivity analyses of the TS model to the modeling parameters indicate that TS is rather sensitive to the viscosity, swimbladder volume ratio, and tilt, which can result in substantial changes to the TS. Theoretical TS predictions close to the resonance frequency were in good agreement (±2 dB) with mean in situ TS derived from the areas acoustically surveyed that were spatially and temporally consistent with the trawl information for both species.
Time Factors, Oceans and Seas, length, Vibration, Motion, Species Specificity, Animals, Scattering, Radiation, walleye pollock, Ecosystem, Population Density, swimbladder morphology, Air Sacs, behavior, Viscosity, Fishes, Signal Processing, Computer-Assisted, acoustic scattering, Acoustics, sound scattering, Models, Theoretical, diel vertical migration, Sound, in-situ, identification, Gases, lanternfishes family myctophidae, Algorithms, Environmental Monitoring
Time Factors, Oceans and Seas, length, Vibration, Motion, Species Specificity, Animals, Scattering, Radiation, walleye pollock, Ecosystem, Population Density, swimbladder morphology, Air Sacs, behavior, Viscosity, Fishes, Signal Processing, Computer-Assisted, acoustic scattering, Acoustics, sound scattering, Models, Theoretical, diel vertical migration, Sound, in-situ, identification, Gases, lanternfishes family myctophidae, Algorithms, Environmental Monitoring
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