Spatiotemporal variations in the acoustic presence of dugongs and vessel traffic around Talibong Island, Thailand: Inputs for local coastal management from passive acoustical aspects

Tanaka, Kotaro; Ichikawa, Kotaro; Akamatsu, Tomonari; Kittiwattanawong, Kongkiat; Arai, Nobuaki; Mitamura, Hiromichi

doi:10.1016/j.ocecoaman.2023.106810

Cited by 2 publications

(1 citation statement)

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“…In light of these challenges, passive acoustic monitoring (PAM), a remote sensing technique using a hydrophone to capture the underwater world's soundscape, has become increasingly valuable. PAM serves as a noninvasive method for assessing biodiversity through analysis of the soundscape and plays a crucial role in observing underwater environmental changes and their impacts on marine life 6 , 7 , 9 , 14 .…”

Section: Introductionmentioning

confidence: 99%

Animal-borne soundscape logger as a system for edge classification of sound sources and data transmission for monitoring near-real-time underwater soundscape

Noda,

Koizumi,

Yukitake

et al. 2024

Sci Rep

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The underwater environment is filled with various sounds, with its soundscape composed of biological, geographical, and anthropological sounds. Our work focused on developing a novel method to observe and classify these sounds, enriching our understanding of the underwater ecosystem. We constructed a biologging system allowing near-real-time observation of underwater soundscapes. Utilizing deep-learning-based edge processing, this system classifies the sources of sounds, and upon the tagged animal surfacing, it transmits positional data, results of sound source classification, and sensor readings such as depth and temperature. To test the system, we attached the logger to sea turtles (Chelonia mydas) and collected data through a cellular network. The data provided information on the location-specific sounds detected by the sea turtles, suggesting the possibility to infer the distribution of specific species of organisms over time. The data showed that not only biological sounds but also geographical and anthropological sounds can be classified, highlighting the potential for conducting multi-point and long-term observations to monitor the distribution patterns of various sound sources. This system, which can be considered an autonomous mobile platform for oceanographic observations, including soundscapes, has significant potential to enhance our understanding of acoustic diversity.

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