Acoustic differentiation and classification of wild belugas and narwhals using echolocation clicks

• Published in: Scientific Reports
• Main Authors: Marie J. Zahn, Shannon Rankin, Jennifer L. K. McCullough, Jens C. Koblitz, Frederick Archer, Marianne H. Rasmussen, Kristin L. Laidre
• Format: Article in Journal/Newspaper
• Language: English
• Published: Nature Portfolio 2021
• Subjects: Medicine; R; Science; Q; Arctic; Baffin Bay; Greenland; Baffin; Beluga; Beluga*; Climate change; Delphinapterus leucas; Monodon monoceros; narwhal*; toothed whales
• Online Access: https://doi.org/10.1038/s41598-021-01441-w; https://doaj.org/article/56a695286d73472f896b1e925410f30b

Abstract Belugas (Delphinapterus leucas) and narwhals (Monodon monoceros) are highly social Arctic toothed whales with large vocal repertoires and similar acoustic profiles. Passive Acoustic Monitoring (PAM) that uses multiple hydrophones over large spatiotemporal scales has been a primary method to study their populations, particularly in response to rapid climate change and increasing underwater noise. This study marks the first acoustic comparison between wild belugas and narwhals from the same location and reveals that they can be acoustically differentiated and classified solely by echolocation clicks. Acoustic recordings were made in the pack ice of Baffin Bay, West Greenland, during 2013. Multivariate analyses and Random Forests classification models were applied to eighty-one single-species acoustic events comprised of numerous echolocation clicks. Results demonstrate a significant difference between species’ acoustic parameters where beluga echolocation was distinguished by higher frequency content, evidenced by higher peak frequencies, center frequencies, and frequency minimums and maximums. Spectral peaks, troughs, and center frequencies for beluga clicks were generally > 60 kHz and narwhal clicks < 60 kHz with overlap between 40–60 kHz. Classification model predictive performance was strong with an overall correct classification rate of 97.5% for the best model. The most important predictors for species assignment were defined by peaks and notches in frequency spectra. Our results provide strong support for the use of echolocation in PAM efforts to differentiate belugas and narwhals acoustically.