Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplains

Using passive acoustic monitoring (PAM) and convolutional neural networks (CNN), we monitored the movements of the two endangered Amazon River dolphin species, the boto (Inia geoffrensis) and the tucuxi (Sotalia fluviatilis) from main rivers to floodplain habitats (várzea) in the Mamirauá Reserve (A...

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Authors: Erbs, Florence Amandine, Gaona, Marina, Van der Schaar, Mike Connor Roger Malcolm, Zaugg, Serge Alain, Ramalho, Emiliano, Houser, Dorian, André, Michel|||0000-0002-0091-7279
Format: article
Publication Date:2023
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/393538
Online Access:https://hdl.handle.net/2117/393538
https://dx.doi.org/10.1038/s41598-023-36518-1
Access Level:Open access
Keyword:Underwater acoustics
Dolphins
Acústica submarina
Dofins
Àrees temàtiques de la UPC::Física::Acústica
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spelling Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplainsErbs, Florence AmandineGaona, MarinaVan der Schaar, Mike Connor Roger MalcolmZaugg, Serge AlainRamalho, EmilianoHouser, DorianAndré, Michel|||0000-0002-0091-7279Underwater acousticsDolphinsAcústica submarinaDofinsÀrees temàtiques de la UPC::Física::AcústicaUsing passive acoustic monitoring (PAM) and convolutional neural networks (CNN), we monitored the movements of the two endangered Amazon River dolphin species, the boto (Inia geoffrensis) and the tucuxi (Sotalia fluviatilis) from main rivers to floodplain habitats (várzea) in the Mamirauá Reserve (Amazonas, Brazil). We detected dolphin presence in four main areas based on the classification of their echolocation clicks. Using the same method, we automatically detected boat passages to estimate a possible interaction between boat and dolphin presence. Performance of the CNN classifier was high with an average precision of 0.95 and 0.92 for echolocation clicks and boats, respectively. Peaks of acoustic activity were detected synchronously at the river entrance and channel, corresponding to dolphins seasonally entering the várzea. Additionally, the river dolphins were regularly detected inside the flooded forest, suggesting a wide dispersion of their populations inside this large area, traditionally understudied and particularly important for boto females and calves. Boats overlapped with dolphin presence 9% of the time. PAM and recent advances in classification methods bring a new insight of the river dolphins’ use of várzea habitats, which will contribute to conservation strategies of these species.This work was funded in part by a generous grant from the National Marine Mammal Foundation.Peer ReviewedSpringer Nature20232023-07-2720232023-09-15journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/393538https://dx.doi.org/10.1038/s41598-023-36518-1reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3935382026-05-27T15:37:01Z
dc.title.none.fl_str_mv Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplains
title Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplains
spellingShingle Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplains
Erbs, Florence Amandine
Underwater acoustics
Dolphins
Acústica submarina
Dofins
Àrees temàtiques de la UPC::Física::Acústica
title_short Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplains
title_full Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplains
title_fullStr Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplains
title_full_unstemmed Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplains
title_sort Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplains
dc.creator.none.fl_str_mv Erbs, Florence Amandine
Gaona, Marina
Van der Schaar, Mike Connor Roger Malcolm
Zaugg, Serge Alain
Ramalho, Emiliano
Houser, Dorian
André, Michel|||0000-0002-0091-7279
author Erbs, Florence Amandine
author_facet Erbs, Florence Amandine
Gaona, Marina
Van der Schaar, Mike Connor Roger Malcolm
Zaugg, Serge Alain
Ramalho, Emiliano
Houser, Dorian
André, Michel|||0000-0002-0091-7279
author_role author
author2 Gaona, Marina
Van der Schaar, Mike Connor Roger Malcolm
Zaugg, Serge Alain
Ramalho, Emiliano
Houser, Dorian
André, Michel|||0000-0002-0091-7279
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Underwater acoustics
Dolphins
Acústica submarina
Dofins
Àrees temàtiques de la UPC::Física::Acústica
topic Underwater acoustics
Dolphins
Acústica submarina
Dofins
Àrees temàtiques de la UPC::Física::Acústica
description Using passive acoustic monitoring (PAM) and convolutional neural networks (CNN), we monitored the movements of the two endangered Amazon River dolphin species, the boto (Inia geoffrensis) and the tucuxi (Sotalia fluviatilis) from main rivers to floodplain habitats (várzea) in the Mamirauá Reserve (Amazonas, Brazil). We detected dolphin presence in four main areas based on the classification of their echolocation clicks. Using the same method, we automatically detected boat passages to estimate a possible interaction between boat and dolphin presence. Performance of the CNN classifier was high with an average precision of 0.95 and 0.92 for echolocation clicks and boats, respectively. Peaks of acoustic activity were detected synchronously at the river entrance and channel, corresponding to dolphins seasonally entering the várzea. Additionally, the river dolphins were regularly detected inside the flooded forest, suggesting a wide dispersion of their populations inside this large area, traditionally understudied and particularly important for boto females and calves. Boats overlapped with dolphin presence 9% of the time. PAM and recent advances in classification methods bring a new insight of the river dolphins’ use of várzea habitats, which will contribute to conservation strategies of these species.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-07-27
2023
2023-09-15
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/393538
https://dx.doi.org/10.1038/s41598-023-36518-1
url https://hdl.handle.net/2117/393538
https://dx.doi.org/10.1038/s41598-023-36518-1
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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