Using acoustic metrics to characterize underwater acoustic biodiversity in the Southern Ocean
Abstract Acoustic metrics ( AM ) assist our interpretation of acoustic environments by aggregating a complex signal into a unique number. Numerous AM have been developed for terrestrial ecosystems, with applications ranging from rapid biodiversity assessments to characterizing habitat quality. Howev...
Published in: | Remote Sensing in Ecology and Conservation |
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Online Access: | http://dx.doi.org/10.1002/rse2.129 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Frse2.129 https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.129 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/rse2.129 https://zslpublications.onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.129 |
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crwiley:10.1002/rse2.129 2024-10-06T13:42:40+00:00 Using acoustic metrics to characterize underwater acoustic biodiversity in the Southern Ocean Roca, Irene T. Van Opzeeland, Ilse Pettorelli, Nathalie Quick, Nicola Ministry for Science and Culture of Lower Saxony and the Volkswagen Foundation 2019 http://dx.doi.org/10.1002/rse2.129 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Frse2.129 https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.129 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/rse2.129 https://zslpublications.onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.129 en eng Wiley http://creativecommons.org/licenses/by-nc/4.0/ Remote Sensing in Ecology and Conservation volume 6, issue 3, page 262-273 ISSN 2056-3485 2056-3485 journal-article 2019 crwiley https://doi.org/10.1002/rse2.129 2024-09-17T04:47:02Z Abstract Acoustic metrics ( AM ) assist our interpretation of acoustic environments by aggregating a complex signal into a unique number. Numerous AM have been developed for terrestrial ecosystems, with applications ranging from rapid biodiversity assessments to characterizing habitat quality. However, there has been comparatively little research aimed at understanding how these metrics perform to characterize the acoustic features of marine habitats and their relation with ecosystem biodiversity. Our objectives were to 1) assess whether AM are able to capture the spectral and temporal differences between two distinct Antarctic marine acoustic environment types (i.e., pelagic vs. on‐shelf), 2) evaluate the performance of a combination of AM compared to the signal full frequency spectrum to characterize marine mammals acoustic assemblages (i.e., species richness– SR –and species identity) and 3) estimate the contribution of SR to the local marine acoustic heterogeneity measured by single AM . We used 23 different AM to develop a supervised machine learning approach to discriminate between acoustic environments. AM performance was similar to the full spectrum, achieving correct classifications for SR levels of 58% and 92% for pelagic and on‐shelf sites respectively and > 88% for species identities. Our analyses show that a combination of AM is a promising approach to characterize marine acoustic communities. It allows an intuitive ecological interpretation of passive acoustic data, which in the light of ongoing environmental changes, supports the holistic approach needed to detect and understand trends in species diversity, acoustic communities and underwater habitat quality. Article in Journal/Newspaper Antarc* Antarctic Southern Ocean Wiley Online Library Antarctic Southern Ocean Remote Sensing in Ecology and Conservation 6 3 262 273 |
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English |
description |
Abstract Acoustic metrics ( AM ) assist our interpretation of acoustic environments by aggregating a complex signal into a unique number. Numerous AM have been developed for terrestrial ecosystems, with applications ranging from rapid biodiversity assessments to characterizing habitat quality. However, there has been comparatively little research aimed at understanding how these metrics perform to characterize the acoustic features of marine habitats and their relation with ecosystem biodiversity. Our objectives were to 1) assess whether AM are able to capture the spectral and temporal differences between two distinct Antarctic marine acoustic environment types (i.e., pelagic vs. on‐shelf), 2) evaluate the performance of a combination of AM compared to the signal full frequency spectrum to characterize marine mammals acoustic assemblages (i.e., species richness– SR –and species identity) and 3) estimate the contribution of SR to the local marine acoustic heterogeneity measured by single AM . We used 23 different AM to develop a supervised machine learning approach to discriminate between acoustic environments. AM performance was similar to the full spectrum, achieving correct classifications for SR levels of 58% and 92% for pelagic and on‐shelf sites respectively and > 88% for species identities. Our analyses show that a combination of AM is a promising approach to characterize marine acoustic communities. It allows an intuitive ecological interpretation of passive acoustic data, which in the light of ongoing environmental changes, supports the holistic approach needed to detect and understand trends in species diversity, acoustic communities and underwater habitat quality. |
author2 |
Pettorelli, Nathalie Quick, Nicola Ministry for Science and Culture of Lower Saxony and the Volkswagen Foundation |
format |
Article in Journal/Newspaper |
author |
Roca, Irene T. Van Opzeeland, Ilse |
spellingShingle |
Roca, Irene T. Van Opzeeland, Ilse Using acoustic metrics to characterize underwater acoustic biodiversity in the Southern Ocean |
author_facet |
Roca, Irene T. Van Opzeeland, Ilse |
author_sort |
Roca, Irene T. |
title |
Using acoustic metrics to characterize underwater acoustic biodiversity in the Southern Ocean |
title_short |
Using acoustic metrics to characterize underwater acoustic biodiversity in the Southern Ocean |
title_full |
Using acoustic metrics to characterize underwater acoustic biodiversity in the Southern Ocean |
title_fullStr |
Using acoustic metrics to characterize underwater acoustic biodiversity in the Southern Ocean |
title_full_unstemmed |
Using acoustic metrics to characterize underwater acoustic biodiversity in the Southern Ocean |
title_sort |
using acoustic metrics to characterize underwater acoustic biodiversity in the southern ocean |
publisher |
Wiley |
publishDate |
2019 |
url |
http://dx.doi.org/10.1002/rse2.129 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Frse2.129 https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.129 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/rse2.129 https://zslpublications.onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.129 |
geographic |
Antarctic Southern Ocean |
geographic_facet |
Antarctic Southern Ocean |
genre |
Antarc* Antarctic Southern Ocean |
genre_facet |
Antarc* Antarctic Southern Ocean |
op_source |
Remote Sensing in Ecology and Conservation volume 6, issue 3, page 262-273 ISSN 2056-3485 2056-3485 |
op_rights |
http://creativecommons.org/licenses/by-nc/4.0/ |
op_doi |
https://doi.org/10.1002/rse2.129 |
container_title |
Remote Sensing in Ecology and Conservation |
container_volume |
6 |
container_issue |
3 |
container_start_page |
262 |
op_container_end_page |
273 |
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1812176549613404160 |