Comparison of visual and passive acoustic estimates of beaked whale density off El Hierro, Canary Islands

P Arranz*, D Miranda, K C Gkikopoulou, A Cardona, J Alcazar, N Aguilar de Soto, L Thomas, T A Marques

*Corresponding author for this work

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Abstract

Passive acoustic monitoring (PAM) offers considerable potential for density estimation of cryptic cetaceans, such as beaked whales. However, comparative studies on the accuracy of PAM density estimates from these species are lacking. Concurrent, low-cost drifting PAM, with SoundTraps suspended at 200 m depth, and land-based sightings, were conducted off the Canary Islands. Beaked whale density was estimated using a cue-count method, with click production rate and the probability of click detection derived from digital acoustic recording tags (DTags), and distance sampling techniques, adapted to fixed-point visual surveys. Of 32 870 detections obtained throughout 206 h of PAM recordings, 68% were classified as "certain" beaked whale clicks. Acoustic detection probability was 0.15 [coefficient variation (CV) 0.24] and click production rate was 0.46 clicks s - 1 (CV 0.05). PAM density estimates were in the range of 21.5 or 48.6 whales per 1000 km2 [CV 0.50 or 0.44, 95% confidence interval (CI) 20.7-22.4 or 47-50.9), depending on whether "uncertain" clicks were considered. Density estimates from concurrent sightings resulted in 33.7 whales per 1000 km2 (CV 0.77, 95% CI 8.9-50.5). Cue-count PAM methods under application provide reliable estimates of beaked whale density, over relatively long time periods and in realistic scenarios, as these match the concurrent density estimates obtained from visual observations.

Original languageEnglish
Pages (from-to)2469-2481
Number of pages13
JournalJournal of the Acoustical Society of America
Volume153
Issue number4
Early online date24 Apr 2023
DOIs
Publication statusPublished - 24 Apr 2023

Keywords

  • Animals
  • Whales
  • Vocalization, animal
  • Echolocation
  • Spain
  • Sound spectrography
  • Time factors
  • Acoustics

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