Characterizing the suckling behavior by video and 3D-accelerometry in humpback whale calves on a breeding ground

Getting maternal milk through nursing is vital for all newborn mammals. Despite its importance, nursing has been poorly documented in humpback whales ( Megaptera novaeangliae ). Nursing is difficult to observe underwater without disturbing the whales and is usually impossible to observe from a ship....

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Published in:PeerJ
Main Authors: Ratsimbazafindranahaka, Maevatiana, Huetz, Chloé, Andrianarimisa, Aristide, Reidenberg, Joy, Saloma, Anjara, Adam, Olivier, Charrier, Isabelle
Other Authors: Lutheries - Acoustique - Musique (IJLRDA-LAM), Institut Jean Le Rond d'Alembert (DALEMBERT), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2022
Subjects:
Online Access:https://hal.sorbonne-universite.fr/hal-03950899
https://doi.org/10.7717/peerj.12945
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spelling ftunivnantes:oai:HAL:hal-03950899v1 2023-05-15T16:35:59+02:00 Characterizing the suckling behavior by video and 3D-accelerometry in humpback whale calves on a breeding ground Ratsimbazafindranahaka, Maevatiana Huetz, Chloé Andrianarimisa, Aristide Reidenberg, Joy Saloma, Anjara Adam, Olivier Charrier, Isabelle Lutheries - Acoustique - Musique (IJLRDA-LAM) Institut Jean Le Rond d'Alembert (DALEMBERT) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) 2022 https://hal.sorbonne-universite.fr/hal-03950899 https://doi.org/10.7717/peerj.12945 en eng HAL CCSD PeerJ info:eu-repo/semantics/altIdentifier/doi/10.7717/peerj.12945 hal-03950899 https://hal.sorbonne-universite.fr/hal-03950899 doi:10.7717/peerj.12945 ISSN: 2167-8359 PeerJ https://hal.sorbonne-universite.fr/hal-03950899 PeerJ, 2022, 10, pp.e12945. ⟨10.7717/peerj.12945⟩ [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2022 ftunivnantes https://doi.org/10.7717/peerj.12945 2023-02-08T01:49:19Z Getting maternal milk through nursing is vital for all newborn mammals. Despite its importance, nursing has been poorly documented in humpback whales ( Megaptera novaeangliae ). Nursing is difficult to observe underwater without disturbing the whales and is usually impossible to observe from a ship. We attempted to observe nursing from the calf’s perspective by placing CATS cam tags on three humpback whale calves in the Sainte Marie channel, Madagascar, Indian Ocean, during the breeding seasons. CATS cam tags are animal-borne multi-sensor tags equipped with a video camera, a hydrophone, and several auxiliary sensors (including a 3-axis accelerometer, a 3-axis magnetometer, and a depth sensor). The use of multi-sensor tags minimized potential disturbance from human presence. A total of 10.52 h of video recordings were collected with the corresponding auxiliary data. Video recordings were manually analyzed and correlated with the auxiliary data, allowing us to extract different kinematic features including the depth rate, speed, Fluke Stroke Rate (FSR), Overall Body Dynamic Acceleration (ODBA), pitch, roll, and roll rate. We found that suckling events lasted 18.8 ± 8.8 s on average ( N = 34) and were performed mostly during dives. Suckling events represented 1.7% of the total observation time. During suckling, the calves were visually estimated to be at a 30–45° pitch angle relative to the midline of their mother’s body and were always observed rolling either to the right or to the left. In our auxiliary dataset, we confirmed that suckling behavior was primarily characterized by a high average absolute roll and additionally we also found that it was likely characterized by a high average FSR and a low average speed. Kinematic features were used for supervised machine learning in order to subsequently detect suckling behavior automatically. Our study is a proof of method on which future investigations can build upon. It opens new opportunities for further investigation of suckling behavior in humpback whales and ... Article in Journal/Newspaper Humpback Whale Megaptera novaeangliae Université de Nantes: HAL-UNIV-NANTES Indian PeerJ 10 e12945
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic [SDV]Life Sciences [q-bio]
spellingShingle [SDV]Life Sciences [q-bio]
Ratsimbazafindranahaka, Maevatiana
Huetz, Chloé
Andrianarimisa, Aristide
Reidenberg, Joy
Saloma, Anjara
Adam, Olivier
Charrier, Isabelle
Characterizing the suckling behavior by video and 3D-accelerometry in humpback whale calves on a breeding ground
topic_facet [SDV]Life Sciences [q-bio]
description Getting maternal milk through nursing is vital for all newborn mammals. Despite its importance, nursing has been poorly documented in humpback whales ( Megaptera novaeangliae ). Nursing is difficult to observe underwater without disturbing the whales and is usually impossible to observe from a ship. We attempted to observe nursing from the calf’s perspective by placing CATS cam tags on three humpback whale calves in the Sainte Marie channel, Madagascar, Indian Ocean, during the breeding seasons. CATS cam tags are animal-borne multi-sensor tags equipped with a video camera, a hydrophone, and several auxiliary sensors (including a 3-axis accelerometer, a 3-axis magnetometer, and a depth sensor). The use of multi-sensor tags minimized potential disturbance from human presence. A total of 10.52 h of video recordings were collected with the corresponding auxiliary data. Video recordings were manually analyzed and correlated with the auxiliary data, allowing us to extract different kinematic features including the depth rate, speed, Fluke Stroke Rate (FSR), Overall Body Dynamic Acceleration (ODBA), pitch, roll, and roll rate. We found that suckling events lasted 18.8 ± 8.8 s on average ( N = 34) and were performed mostly during dives. Suckling events represented 1.7% of the total observation time. During suckling, the calves were visually estimated to be at a 30–45° pitch angle relative to the midline of their mother’s body and were always observed rolling either to the right or to the left. In our auxiliary dataset, we confirmed that suckling behavior was primarily characterized by a high average absolute roll and additionally we also found that it was likely characterized by a high average FSR and a low average speed. Kinematic features were used for supervised machine learning in order to subsequently detect suckling behavior automatically. Our study is a proof of method on which future investigations can build upon. It opens new opportunities for further investigation of suckling behavior in humpback whales and ...
author2 Lutheries - Acoustique - Musique (IJLRDA-LAM)
Institut Jean Le Rond d'Alembert (DALEMBERT)
Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Ratsimbazafindranahaka, Maevatiana
Huetz, Chloé
Andrianarimisa, Aristide
Reidenberg, Joy
Saloma, Anjara
Adam, Olivier
Charrier, Isabelle
author_facet Ratsimbazafindranahaka, Maevatiana
Huetz, Chloé
Andrianarimisa, Aristide
Reidenberg, Joy
Saloma, Anjara
Adam, Olivier
Charrier, Isabelle
author_sort Ratsimbazafindranahaka, Maevatiana
title Characterizing the suckling behavior by video and 3D-accelerometry in humpback whale calves on a breeding ground
title_short Characterizing the suckling behavior by video and 3D-accelerometry in humpback whale calves on a breeding ground
title_full Characterizing the suckling behavior by video and 3D-accelerometry in humpback whale calves on a breeding ground
title_fullStr Characterizing the suckling behavior by video and 3D-accelerometry in humpback whale calves on a breeding ground
title_full_unstemmed Characterizing the suckling behavior by video and 3D-accelerometry in humpback whale calves on a breeding ground
title_sort characterizing the suckling behavior by video and 3d-accelerometry in humpback whale calves on a breeding ground
publisher HAL CCSD
publishDate 2022
url https://hal.sorbonne-universite.fr/hal-03950899
https://doi.org/10.7717/peerj.12945
geographic Indian
geographic_facet Indian
genre Humpback Whale
Megaptera novaeangliae
genre_facet Humpback Whale
Megaptera novaeangliae
op_source ISSN: 2167-8359
PeerJ
https://hal.sorbonne-universite.fr/hal-03950899
PeerJ, 2022, 10, pp.e12945. ⟨10.7717/peerj.12945⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.7717/peerj.12945
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https://hal.sorbonne-universite.fr/hal-03950899
doi:10.7717/peerj.12945
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container_title PeerJ
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