Acoustic Techniques for Estimating Fish Abundance

Ehrenberg, John E.; Lytle, Dean W.

doi:10.1109/tge.1972.271312

Cited by 24 publications

(11 citation statements)

References 1 publication

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“…Information fro m our chart recordings suggests that echo-counting techniques became unreliable during dayligh t hours due to increased schooling of fish targets. Ehrenberg and Lytle (1972) also concluded that echo integration is preferable when localized fi sh densities are high. Although echocounting techniques usually provide more reliable estimates of fis h density (Burczynski and Johnson 1986), echo integration may provide reasonable relative biomass estimates, and it may be the only technique possible during daylight.…”

Section: Discussionmentioning

confidence: 99%

Effects of Moonlight and Daylight on Hydroacoustic Estimates of Pelagic Fish Abundance

Luecke

Wurtsbaugh

1993

Transactions of the American Fisheries Society

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To determine how moonlight and daylight affect hydroacoustic estimates of fish abundance, we used a dual-beam transducer and echo integration to survey pelagic fish (primarily Bonneville ciscoes Prosopium gemmifer) in Bear Lake, Utah and Idaho. During the new moon, the fish were dispersed (not schooling) below the thermocline, chiefly at the depths of 10-20 m , At full moon, they were dispersed but much closer to the bottom, where they were difficult to detect. Acoustic estimates offish density and biomass during full moons were approximately 50% of values derived during new moons. A diel survey during a new moon indicated that fish were widely dispersed in the water column at night, but formed schools at dawn. Our study indicated that light conditions must be standardized to insure consistent and comparable population estimates of some pelagic fishes .

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Section: Discussionmentioning

confidence: 99%

Effects of Moonlight and Daylight on Hydroacoustic Estimates of Pelagic Fish Abundance

Luecke

Wurtsbaugh

1993

Transactions of the American Fisheries Society

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“…We now examine this in more detail and explain how estimation of the fish population might be done. The discussion is oversimplified so that the interested reader may consult [Ehrenberg and Lytle 1972, Stanton 1983, Stanton and Chu 1998] for more detail. Referring to Figure 20.14 a sound pulse, which is assumed to be sinusoidal, is transmitted from a ship.…”

Section: Real-world Example -Estimating Fish Populationsmentioning

confidence: 99%

Gaussian Random Processes

Kay

2012

Intuitive Probability and Random Processes Using MATLAB®

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“…Ehrenberg and Lytle [2] performed a derivation of the first two moments of the distribution of the integral yielding accumulated backscattered energy, E, within an epoch T, That is, for the composite reverberation process, the quantity It is, perhaps, more common experimentally to integrate the square of the envelope, A2(t), in order to estimate the backscattered energy. This is the approach adopted by the authors of this paper in designing the equipment described in section 3.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

The Acoustic Measurement of Plankton Population Density

Coates

Orgill²

1987

Oceans '87

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Measurement of the density of populations of particles or organisms in suspension in a fluid has been a matter of interest for some years. T h i s paper outlines some of the underlying principles involved in using acoustic backscatter and gated, echo-squared integration to perfom such measurements. It presents the Gamma distribution as the statistical descriptor for the integrator output. It then describes the design of a broad-band, high-frequency sonar devised for the estimation, particularly, of plankton population density. Experiments used to assess performance are outlined, and results are presented which c o d i the theoretical distribution of echo-squared integrator output.

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Acoustic Techniques for Estimating Fish Abundance

Cited by 24 publications

References 1 publication

Effects of Moonlight and Daylight on Hydroacoustic Estimates of Pelagic Fish Abundance

Effects of Moonlight and Daylight on Hydroacoustic Estimates of Pelagic Fish Abundance

Gaussian Random Processes

The Acoustic Measurement of Plankton Population Density

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