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Listening to ecosystems: data-rich acoustic monitoring through landscape-scale sensor networks
https://oist.repo.nii.ac.jp/records/313
https://oist.repo.nii.ac.jp/records/313dc16f87a-864e-42e1-b113-0e298c2306a5
名前 / ファイル | ライセンス | アクション |
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Full-Text (3.3 MB)
|
Creative Commons Attribution 4.0 International
(http://creativecommons.org/licenses/by/4.0/) |
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2018-03-12 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Listening to ecosystems: data-rich acoustic monitoring through landscape-scale sensor networks | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者(英) |
Ross, Samuel R. P. -J.
× Ross, Samuel R. P. -J.× Friedman, Nicholas R.× Dudley, Kenneth L.× Yoshimura, Masashi× Yoshida, Takuma× Economo, Evan P. |
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書誌情報 |
en : Ecological Research 巻 33, 号 1, p. 135-147, 発行日 2017-11-06 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Ecologists have many ways to measure and monitor ecosystems, each of which can reveal details about the processes unfolding therein. Acoustic recording combined with machine learning methods for species detection can provide remote, automated monitoring of species richness and relative abundance. Such recordings also open a window into how species behave and compete for niche space in the sensory environment. These opportunities are associated with new challenges: the volume and velocity of such data require new approaches to species identification and visualization. Here we introduce a newly-initiated acoustic monitoring network across the subtropical island of Okinawa, Japan, as part of the broader OKEON (Okinawa Environmental Observation Network) project. Our aim is to monitor the acoustic environment of Okinawa’s ecosystems and use these space–time data to better understand ecosystem dynamics. We present a pilot study based on recordings from five field sites conducted over a one-month period in the summer. Our results provide a proof of concept for automated species identification on Okinawa, and reveal patterns of biogenic vs. anthropogenic noise across the landscape. In particular, we found correlations between forest land cover and detection rates of two culturally important species in the island soundscape: the Okinawa Rail and Ruddy Kingfisher. Among the soundscape indices we examined, NDSI, Acoustic Diversity and the Bioacoustic Index showed both diurnal patterns and differences among sites. Our results highlight the potential utility of remote acoustic monitoring practices that, in combination with other methods can provide a holistic picture of biodiversity. We intend this project as an open resource, and wish to extend an invitation to researchers interested in scientific collaboration. | |||||
出版者 | ||||||
出版者 | Springer Japan | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0912-3814 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1007/s11284-017-1509-5 | |||||
権利 | ||||||
権利情報 | © 2017 The Author(s) | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://link.springer.com/article/10.1007%2Fs11284-017-1509-5 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |