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Acoustic detection range and population density of Cuvier's beaked whales estimated from near-surface hydrophones. | LitMetric

Acoustic detection range and population density of Cuvier's beaked whales estimated from near-surface hydrophones.

J Acoust Soc Am

Ocean Associates, Incorporated, 4007 North Abingdon Street, Arlington, Virginia 22207, USA.

Published: January 2021

AI Article Synopsis

  • The study measures the population density of Cuvier's beaked whales using hydrophones to detect echolocation pulses in the Catalina Basin, employing three different statistical methods.* -
  • Density estimates are relatively close, ranging from 3.9 to 5.4 whales per 1000 km, and the research suggests that combining various approaches helps ensure the accuracy of results.* -
  • Among the methods tested, the distance-sampling technique using snapshot data is the most reliable for larger surveys, while the dive cue method shows potential but needs further investigation regarding its biases.*

Article Abstract

The population density of Cuvier's beaked whales is estimated acoustically with drifting near-surface hydrophone recorders in the Catalina Basin. Three empirical approaches (trial-based, distance-sampling, and spatially explicit capture-recapture) are used to estimate the probability of detecting the echolocation pulses as a function of range. These detection functions are used with two point-transect methods (snapshot and dive-cue) to estimate density. Measurement errors result in a small range of density estimates (3.9-5.4 whales per 1000 km). Use of multiple approaches and methods allows comparison of the required information and assumptions of each. The distance-sampling approach with snapshot-based density estimates has the most stringent assumptions but would be the easiest to implement for large scale surveys of beaked whale density. Alternative approaches to estimating detection functions help validate this approach. The dive cue method of density estimation has promise, but additional work is needed to understand the potential bias caused by animal movement during a dive. Empirical methods are a viable alternative to the theoretical acoustic modeling approaches that have been used previously to estimate beaked whale density.

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Source
http://dx.doi.org/10.1121/10.0002881DOI Listing

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