Acoustic seascape partitioning through functional data analysis
Abstract Aim Water column acoustic backscatter is regularly registered during oceanographic surveys, providing valuable information on the composition and distribution of pelagic life in the ocean. We propose an objective approach based on functional data analysis to classify these acoustic seascape...
Published in: | Journal of Biogeography |
---|---|
Main Authors: | , , , , , , , |
Other Authors: | |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
2022
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1111/jbi.14534 https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbi.14534 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/jbi.14534 |
id |
crwiley:10.1111/jbi.14534 |
---|---|
record_format |
openpolar |
spelling |
crwiley:10.1111/jbi.14534 2024-09-09T20:08:46+00:00 Acoustic seascape partitioning through functional data analysis Ariza, Alejandro Lebourges‐Dhaussy, Anne Nerini, David Pauthenet, Etienne Roudaut, Gildas Assunção, Ramilla Tosetto, Everton Bertrand, Arnaud Horizon 2020 Framework Programme 2022 http://dx.doi.org/10.1111/jbi.14534 https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbi.14534 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/jbi.14534 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Journal of Biogeography volume 50, issue 9, page 1546-1560 ISSN 0305-0270 1365-2699 journal-article 2022 crwiley https://doi.org/10.1111/jbi.14534 2024-08-01T04:18:52Z Abstract Aim Water column acoustic backscatter is regularly registered during oceanographic surveys, providing valuable information on the composition and distribution of pelagic life in the ocean. We propose an objective approach based on functional data analysis to classify these acoustic seascapes into biogeographical regions. Location Tropical South Atlantic Ocean off northeastern Brazil. Taxon Sound‐scattering pelagic fauna detected with acoustic echosounders, principally small fish, crustaceans, squid and diverse gelatinous life‐forms. Methods We use acoustic backscatter as a function of depth, simultaneously at three frequencies, to numerically describe the vertical distribution and composition of sound‐scattering organisms in the water column. This information is used to classify the acoustic seascape through functional principal component analysis. The analysis routine is tested and illustrated with data collected at 38, 70 and 120 kHz in waters affected by contrasting environmental conditions. Results Acoustic seascape partitioning mirrored the distribution of current systems, fronts and taxonomically based regionalization. The study area was divided between slope‐boundary and open‐ocean waters, and between spring and fall hydrological regimes. Main Conclusions The acoustic seascape consistency and the spatiotemporal coherence of the regions classified show that the method is efficient at identifying homogeneous and cohesive sound‐scattering communities. Comparisons against hydrological and biological regionalization prove that the method is reliable at delineating distinct pelagic ecosystems in a cost‐efficient and non‐intrusive way. Article in Journal/Newspaper South Atlantic Ocean Wiley Online Library Journal of Biogeography 50 9 1546 1560 |
institution |
Open Polar |
collection |
Wiley Online Library |
op_collection_id |
crwiley |
language |
English |
description |
Abstract Aim Water column acoustic backscatter is regularly registered during oceanographic surveys, providing valuable information on the composition and distribution of pelagic life in the ocean. We propose an objective approach based on functional data analysis to classify these acoustic seascapes into biogeographical regions. Location Tropical South Atlantic Ocean off northeastern Brazil. Taxon Sound‐scattering pelagic fauna detected with acoustic echosounders, principally small fish, crustaceans, squid and diverse gelatinous life‐forms. Methods We use acoustic backscatter as a function of depth, simultaneously at three frequencies, to numerically describe the vertical distribution and composition of sound‐scattering organisms in the water column. This information is used to classify the acoustic seascape through functional principal component analysis. The analysis routine is tested and illustrated with data collected at 38, 70 and 120 kHz in waters affected by contrasting environmental conditions. Results Acoustic seascape partitioning mirrored the distribution of current systems, fronts and taxonomically based regionalization. The study area was divided between slope‐boundary and open‐ocean waters, and between spring and fall hydrological regimes. Main Conclusions The acoustic seascape consistency and the spatiotemporal coherence of the regions classified show that the method is efficient at identifying homogeneous and cohesive sound‐scattering communities. Comparisons against hydrological and biological regionalization prove that the method is reliable at delineating distinct pelagic ecosystems in a cost‐efficient and non‐intrusive way. |
author2 |
Horizon 2020 Framework Programme |
format |
Article in Journal/Newspaper |
author |
Ariza, Alejandro Lebourges‐Dhaussy, Anne Nerini, David Pauthenet, Etienne Roudaut, Gildas Assunção, Ramilla Tosetto, Everton Bertrand, Arnaud |
spellingShingle |
Ariza, Alejandro Lebourges‐Dhaussy, Anne Nerini, David Pauthenet, Etienne Roudaut, Gildas Assunção, Ramilla Tosetto, Everton Bertrand, Arnaud Acoustic seascape partitioning through functional data analysis |
author_facet |
Ariza, Alejandro Lebourges‐Dhaussy, Anne Nerini, David Pauthenet, Etienne Roudaut, Gildas Assunção, Ramilla Tosetto, Everton Bertrand, Arnaud |
author_sort |
Ariza, Alejandro |
title |
Acoustic seascape partitioning through functional data analysis |
title_short |
Acoustic seascape partitioning through functional data analysis |
title_full |
Acoustic seascape partitioning through functional data analysis |
title_fullStr |
Acoustic seascape partitioning through functional data analysis |
title_full_unstemmed |
Acoustic seascape partitioning through functional data analysis |
title_sort |
acoustic seascape partitioning through functional data analysis |
publisher |
Wiley |
publishDate |
2022 |
url |
http://dx.doi.org/10.1111/jbi.14534 https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbi.14534 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/jbi.14534 |
genre |
South Atlantic Ocean |
genre_facet |
South Atlantic Ocean |
op_source |
Journal of Biogeography volume 50, issue 9, page 1546-1560 ISSN 0305-0270 1365-2699 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1111/jbi.14534 |
container_title |
Journal of Biogeography |
container_volume |
50 |
container_issue |
9 |
container_start_page |
1546 |
op_container_end_page |
1560 |
_version_ |
1809942850023981056 |