Dear MARMAM community,

My co-authors and I are pleased to share our newest paper entitled:
"Non-song Vocalizations of Humpback Whales in Western Australia".

Recalde-Salas A, Erbe C, Salgado Kent C, Parsons M (2020). Non-song
Vocalizations of Humpback Whales in Western Australia. *Frontiers in Marine
Science*, 7:141. DOI: doi.org/10.3389/fmars.2020.00141


ABSTRACT

This study presents non-song vocalizations of humpback whales (Megaptera
novaeangliae) from two migratory areas off the Western Australian coast:
Geographe Bay and Port Hedland. A total of 220 sounds were identified as
non-song sounds in 193 h of recordings reviewed. Of those, 68 were measured
and qualitatively classified into 17 groups using their spectral features.
One group (HW-02) had a high level of variation in terms of spectral slope.
However, further classification using statistical classification methods
was not possible because of the small sample size. Non-song sound
frequencies varied from 9 Hz to 6 kHz, with the majority of sounds under
200 Hz. The duration of non-song sounds varied between 0.09 and 3.59 s.
Overall, the use of spectral features allowed general classification of
humpback whale sounds in a low sample size scenario that was not conducive
to using quantitative methods. However, for highly variable groups,
quantitative statistical classification methods (e.g., random forests) are
needed to improve classification accuracy. The identification and accurate
classification of a species’ acoustic repertoire is key to effectively
monitor population status using acoustic techniques and to better
understand the vocal behavior of the species. The results of this study
improve the monitoring of humpback whales by standardizing the
classification of sounds and including them in the species’ repertoire. The
inclusion of non-song sounds in passive acoustic monitoring of humpback
whales will add females and calves to the detection counts of otherwise
only singing males.


The article is open access and available at:
https://www.frontiersin.org/article/10.3389/fmars.2020.00141

Cheers,


Angela



Angela Recalde-Salas. MSc. PhD.
Researcher | Centre for Marine Science and Technology (CMST)
Data analyst | Centre for Digital Agriculture
Curtin University, Perth - Western Australia
Email | [email protected],
[email protected] <[email protected]>
Project Web | http://souwest.org/
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