Bioacoustic Detection of Wolves:Identifying Subspecies and Individuals by Howls
Wolves (Canis lupus) are generally monitored by visual observations, camera traps, and DNA traces. In this study, we evaluated acoustic monitoring of wolf howls as a method for monitoring wolves, which may permit detection of wolves across longer distances than that permitted by camera traps. We ana...
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Format: | Article in Journal/Newspaper |
Language: | English |
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2022
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Online Access: | https://vbn.aau.dk/da/publications/1d3a086c-a349-4a7c-895a-99ce06c9f4af https://doi.org/10.3390/ani12050631 https://vbn.aau.dk/ws/files/482724090/animals_12_00631_v2.pdf http://www.scopus.com/inward/record.url?scp=85125998002&partnerID=8YFLogxK |
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ftalborgunivpubl:oai:pure.atira.dk:publications/1d3a086c-a349-4a7c-895a-99ce06c9f4af 2024-09-30T14:30:33+00:00 Bioacoustic Detection of Wolves:Identifying Subspecies and Individuals by Howls Larsen, Hanne Lyngholm Pertoldi, Cino Madsen, Niels Randi, Ettore Stronen, Astrid Vik Root-Gutteridge, Holly Pagh, Sussie 2022-03-01 application/pdf https://vbn.aau.dk/da/publications/1d3a086c-a349-4a7c-895a-99ce06c9f4af https://doi.org/10.3390/ani12050631 https://vbn.aau.dk/ws/files/482724090/animals_12_00631_v2.pdf http://www.scopus.com/inward/record.url?scp=85125998002&partnerID=8YFLogxK eng eng https://vbn.aau.dk/da/publications/1d3a086c-a349-4a7c-895a-99ce06c9f4af info:eu-repo/semantics/openAccess Larsen , H L , Pertoldi , C , Madsen , N , Randi , E , Stronen , A V , Root-Gutteridge , H & Pagh , S 2022 , ' Bioacoustic Detection of Wolves : Identifying Subspecies and Individuals by Howls ' , Animals , vol. 12 , no. 5 , 631 . https://doi.org/10.3390/ani12050631 Acoustic variables Bioacoustics Canis lupus Discriminant analysis Fundamental frequency Habitats directive Monitoring article 2022 ftalborgunivpubl https://doi.org/10.3390/ani12050631 2024-09-19T00:52:42Z Wolves (Canis lupus) are generally monitored by visual observations, camera traps, and DNA traces. In this study, we evaluated acoustic monitoring of wolf howls as a method for monitoring wolves, which may permit detection of wolves across longer distances than that permitted by camera traps. We analyzed acoustic data of wolves’ howls collected from both wild and captive ones. The analysis focused on individual and subspecies recognition. Furthermore, we aimed to determine the usefulness of acoustic monitoring in the field given the limited data for Eurasian wolves. We analyzed 170 howls from 16 individual wolves from 3 subspecies: Arctic (Canis lupus arctos), Eurasian (C. l. lupus), and Northwestern wolves (C. l. occidentalis). Variables from the fundamental frequency (f0) (lowest frequency band of a sound signal) were extracted and used in discriminant analysis, classification matrix, and pairwise post-hoc Hotelling test. The results indicated that Arctic and Eurasian wolves had subspecies identifiable calls, while Northwestern wolves did not, though this sample size was small. Identification on an individual level was successful for all subspecies. Individuals were correctly classified with 80%–100% accuracy, using discriminant function analysis. Our findings suggest acoustic monitoring could be a valuable and cost-effective tool that complements camera traps, by improving long-distance detection of wolves. Article in Journal/Newspaper Arctic Canis lupus Aalborg University's Research Portal Arctic Animals 12 5 631 |
institution |
Open Polar |
collection |
Aalborg University's Research Portal |
op_collection_id |
ftalborgunivpubl |
language |
English |
topic |
Acoustic variables Bioacoustics Canis lupus Discriminant analysis Fundamental frequency Habitats directive Monitoring |
spellingShingle |
Acoustic variables Bioacoustics Canis lupus Discriminant analysis Fundamental frequency Habitats directive Monitoring Larsen, Hanne Lyngholm Pertoldi, Cino Madsen, Niels Randi, Ettore Stronen, Astrid Vik Root-Gutteridge, Holly Pagh, Sussie Bioacoustic Detection of Wolves:Identifying Subspecies and Individuals by Howls |
topic_facet |
Acoustic variables Bioacoustics Canis lupus Discriminant analysis Fundamental frequency Habitats directive Monitoring |
description |
Wolves (Canis lupus) are generally monitored by visual observations, camera traps, and DNA traces. In this study, we evaluated acoustic monitoring of wolf howls as a method for monitoring wolves, which may permit detection of wolves across longer distances than that permitted by camera traps. We analyzed acoustic data of wolves’ howls collected from both wild and captive ones. The analysis focused on individual and subspecies recognition. Furthermore, we aimed to determine the usefulness of acoustic monitoring in the field given the limited data for Eurasian wolves. We analyzed 170 howls from 16 individual wolves from 3 subspecies: Arctic (Canis lupus arctos), Eurasian (C. l. lupus), and Northwestern wolves (C. l. occidentalis). Variables from the fundamental frequency (f0) (lowest frequency band of a sound signal) were extracted and used in discriminant analysis, classification matrix, and pairwise post-hoc Hotelling test. The results indicated that Arctic and Eurasian wolves had subspecies identifiable calls, while Northwestern wolves did not, though this sample size was small. Identification on an individual level was successful for all subspecies. Individuals were correctly classified with 80%–100% accuracy, using discriminant function analysis. Our findings suggest acoustic monitoring could be a valuable and cost-effective tool that complements camera traps, by improving long-distance detection of wolves. |
format |
Article in Journal/Newspaper |
author |
Larsen, Hanne Lyngholm Pertoldi, Cino Madsen, Niels Randi, Ettore Stronen, Astrid Vik Root-Gutteridge, Holly Pagh, Sussie |
author_facet |
Larsen, Hanne Lyngholm Pertoldi, Cino Madsen, Niels Randi, Ettore Stronen, Astrid Vik Root-Gutteridge, Holly Pagh, Sussie |
author_sort |
Larsen, Hanne Lyngholm |
title |
Bioacoustic Detection of Wolves:Identifying Subspecies and Individuals by Howls |
title_short |
Bioacoustic Detection of Wolves:Identifying Subspecies and Individuals by Howls |
title_full |
Bioacoustic Detection of Wolves:Identifying Subspecies and Individuals by Howls |
title_fullStr |
Bioacoustic Detection of Wolves:Identifying Subspecies and Individuals by Howls |
title_full_unstemmed |
Bioacoustic Detection of Wolves:Identifying Subspecies and Individuals by Howls |
title_sort |
bioacoustic detection of wolves:identifying subspecies and individuals by howls |
publishDate |
2022 |
url |
https://vbn.aau.dk/da/publications/1d3a086c-a349-4a7c-895a-99ce06c9f4af https://doi.org/10.3390/ani12050631 https://vbn.aau.dk/ws/files/482724090/animals_12_00631_v2.pdf http://www.scopus.com/inward/record.url?scp=85125998002&partnerID=8YFLogxK |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Canis lupus |
genre_facet |
Arctic Canis lupus |
op_source |
Larsen , H L , Pertoldi , C , Madsen , N , Randi , E , Stronen , A V , Root-Gutteridge , H & Pagh , S 2022 , ' Bioacoustic Detection of Wolves : Identifying Subspecies and Individuals by Howls ' , Animals , vol. 12 , no. 5 , 631 . https://doi.org/10.3390/ani12050631 |
op_relation |
https://vbn.aau.dk/da/publications/1d3a086c-a349-4a7c-895a-99ce06c9f4af |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/ani12050631 |
container_title |
Animals |
container_volume |
12 |
container_issue |
5 |
container_start_page |
631 |
_version_ |
1811635441620746240 |