Document Type
Article
Journal/Book Title/Conference
Diversity
Author ORCID Identifier
Leandro A. Do Nascimento https://orcid.org/0000-0001-8254-2900
Cristian Pérez-Granados https://orcid.org/0000-0003-3247-4182
Karen H. Beard https://orcid.org/0000-0003-4997-2495
Volume
13
Issue
11
Publisher
MDPI AG
Publication Date
11-5-2021
First Page
1
Last Page
12
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Abstract
Nighttime studies are underrepresented in ecological research. Even well-known behaviors, such as the loud call of howler monkeys, are rarely studied at night. Our goal was to help fill this knowledge gap by studying the 24 h vocal behavior of the Guianan red howler monkey (Alouatta macconnelli) and to compare the acoustic structures of howling bouts made during the day to those made at night. We used passive acoustic monitoring coupled with automatic acoustic detection to study three groups of howlers over three months in the Viruá National Park, Roraima, Brazil. The automatic classifier we built detected 171 howling bouts with a 42% recall rate and 100% precision. Though primarily diurnal, howlers vocalized mainly at night. Greater vocal activity before nautical twilight might be associated with territorial and resource defense behaviors, with howlers calling from roosting sites before starting their daily routines. We also found that during the day, howling bouts were longer and had lower harmonic-to-noise ratios, lower frequencies, and more symmetric energy distributions than bouts at night. Our study adds to growing evidence that passive acoustic monitoring and automatic acoustic detection can be used to study primates and improve our understanding of their vocal behavior.
Recommended Citation
Do Nascimento, L.A.; Pérez-Granados, C.; Beard, K.H. Passive Acoustic Monitoring and Automatic Detection of Diel Patterns and Acoustic Structure of Howler Monkey Roars. Diversity 2021, 13, 566. https://doi.org/10.3390/d13110566