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Auditory Survey of Endangered Eurasian Bittern Using Microphone Arrays and Robot Audition

Bioacoustics monitoring has become increasingly popular for studying the behavior and ecology of vocalizing birds. This study aims to verify the practical effectiveness of localization technology for auditory monitoring of endangered Eurasian bittern (Botaurus stellaris) which inhabits wetlands in r...

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Autores principales: Matsubayashi, Shiho, Nakadai, Kazuhiro, Suzuki, Reiji, Ura, Tatsuya, Hasebe, Makoto, Okuno, Hiroshi G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019347/
https://www.ncbi.nlm.nih.gov/pubmed/35462782
http://dx.doi.org/10.3389/frobt.2022.854572
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author Matsubayashi, Shiho
Nakadai, Kazuhiro
Suzuki, Reiji
Ura, Tatsuya
Hasebe, Makoto
Okuno, Hiroshi G.
author_facet Matsubayashi, Shiho
Nakadai, Kazuhiro
Suzuki, Reiji
Ura, Tatsuya
Hasebe, Makoto
Okuno, Hiroshi G.
author_sort Matsubayashi, Shiho
collection PubMed
description Bioacoustics monitoring has become increasingly popular for studying the behavior and ecology of vocalizing birds. This study aims to verify the practical effectiveness of localization technology for auditory monitoring of endangered Eurasian bittern (Botaurus stellaris) which inhabits wetlands in remote areas with thick vegetation. Their crepuscular and highly secretive nature, except during the breeding season when they vocalize advertisement calls, make them difficult to monitor. Because of the increasing rates of habitat loss, surveying accurate numbers and their habitat needs are both important conservation tasks. We investigated the feasibility of localizing their booming calls, at a low frequency range between 100–200 Hz, using microphone arrays and robot audition HARK (Honda Research Institute, Audition for Robots with Kyoto University). We first simulated sound source localization of actual bittern calls for microphone arrays of radii 10 cm, 50 cm, 1 m, and 10 m, under different noise levels. Second, we monitored bitterns in an actual field environment using small microphone arrays (height = 12 cm; width = 8 cm), in the Sarobetsu Mire, Hokkaido Island, Japan. The simulation results showed that the spectral detectability was higher for larger microphone arrays, whereas the temporal detectability was higher for smaller microphone arrays. We identified that false detection in smaller microphone arrays, which was coincidentally generated in the calculation proximate to the transfer function for the opposite side. Despite technical limitations, we successfully localized booming calls of at least two males in a reverberant wetland, surrounded by thick vegetation and riparian trees. This study is the first case of localizing such rare birds using small-sized microphone arrays in the field, thereby presenting how this technology could contribute to auditory surveys of population numbers, behaviors, and microhabitat selection, all of which are difficult to investigate using other observation methods. This methodology is not only useful for the better understanding of bitterns, but it can also be extended to investigate other rare nocturnal birds with low-frequency vocalizations, without direct ringing or tagging. Our results also suggest a future necessity for a robust localization system to avoid reverberation and echoing in the field, resulting in the false detection of the target birds.
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spelling pubmed-90193472022-04-21 Auditory Survey of Endangered Eurasian Bittern Using Microphone Arrays and Robot Audition Matsubayashi, Shiho Nakadai, Kazuhiro Suzuki, Reiji Ura, Tatsuya Hasebe, Makoto Okuno, Hiroshi G. Front Robot AI Robotics and AI Bioacoustics monitoring has become increasingly popular for studying the behavior and ecology of vocalizing birds. This study aims to verify the practical effectiveness of localization technology for auditory monitoring of endangered Eurasian bittern (Botaurus stellaris) which inhabits wetlands in remote areas with thick vegetation. Their crepuscular and highly secretive nature, except during the breeding season when they vocalize advertisement calls, make them difficult to monitor. Because of the increasing rates of habitat loss, surveying accurate numbers and their habitat needs are both important conservation tasks. We investigated the feasibility of localizing their booming calls, at a low frequency range between 100–200 Hz, using microphone arrays and robot audition HARK (Honda Research Institute, Audition for Robots with Kyoto University). We first simulated sound source localization of actual bittern calls for microphone arrays of radii 10 cm, 50 cm, 1 m, and 10 m, under different noise levels. Second, we monitored bitterns in an actual field environment using small microphone arrays (height = 12 cm; width = 8 cm), in the Sarobetsu Mire, Hokkaido Island, Japan. The simulation results showed that the spectral detectability was higher for larger microphone arrays, whereas the temporal detectability was higher for smaller microphone arrays. We identified that false detection in smaller microphone arrays, which was coincidentally generated in the calculation proximate to the transfer function for the opposite side. Despite technical limitations, we successfully localized booming calls of at least two males in a reverberant wetland, surrounded by thick vegetation and riparian trees. This study is the first case of localizing such rare birds using small-sized microphone arrays in the field, thereby presenting how this technology could contribute to auditory surveys of population numbers, behaviors, and microhabitat selection, all of which are difficult to investigate using other observation methods. This methodology is not only useful for the better understanding of bitterns, but it can also be extended to investigate other rare nocturnal birds with low-frequency vocalizations, without direct ringing or tagging. Our results also suggest a future necessity for a robust localization system to avoid reverberation and echoing in the field, resulting in the false detection of the target birds. Frontiers Media S.A. 2022-04-06 /pmc/articles/PMC9019347/ /pubmed/35462782 http://dx.doi.org/10.3389/frobt.2022.854572 Text en Copyright © 2022 Matsubayashi, Nakadai, Suzuki, Ura, Hasebe and Okuno. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Matsubayashi, Shiho
Nakadai, Kazuhiro
Suzuki, Reiji
Ura, Tatsuya
Hasebe, Makoto
Okuno, Hiroshi G.
Auditory Survey of Endangered Eurasian Bittern Using Microphone Arrays and Robot Audition
title Auditory Survey of Endangered Eurasian Bittern Using Microphone Arrays and Robot Audition
title_full Auditory Survey of Endangered Eurasian Bittern Using Microphone Arrays and Robot Audition
title_fullStr Auditory Survey of Endangered Eurasian Bittern Using Microphone Arrays and Robot Audition
title_full_unstemmed Auditory Survey of Endangered Eurasian Bittern Using Microphone Arrays and Robot Audition
title_short Auditory Survey of Endangered Eurasian Bittern Using Microphone Arrays and Robot Audition
title_sort auditory survey of endangered eurasian bittern using microphone arrays and robot audition
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019347/
https://www.ncbi.nlm.nih.gov/pubmed/35462782
http://dx.doi.org/10.3389/frobt.2022.854572
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