Modelling the sound production of narwhals using a point process framework with memory effects

Obtaining an adequate description of the behaviour of narwhals in a pristine environment is important to understand natural behaviour as well as providing the means to determine potential changes in behaviour directly or indirectly caused by human activity. Based on Acousonde™ data from five narwhal...

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Published in:The Annals of Applied Statistics
Main Authors: Søltoft-Jensen, Aleksander, Heide-Jørgensen, Mads Peter, Ditlevsen, Susanne
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://curis.ku.dk/portal/da/publications/modelling-the-sound-production-of-narwhals-using-a-point-process-framework-with-memory-effects(120bb2b3-2972-4071-bf52-d3d1779c576d).html
https://doi.org/10.1214/20-AOAS1379
https://curis.ku.dk/ws/files/254663915/MODELLING_THE_SOUND_PRODUCTION_OF_NARWHALS_USING.pdf
http://www.scopus.com/inward/record.url?scp=85098279965&partnerID=8YFLogxK
id ftcopenhagenunip:oai:pure.atira.dk:publications/120bb2b3-2972-4071-bf52-d3d1779c576d
record_format openpolar
spelling ftcopenhagenunip:oai:pure.atira.dk:publications/120bb2b3-2972-4071-bf52-d3d1779c576d 2024-06-09T07:45:40+00:00 Modelling the sound production of narwhals using a point process framework with memory effects Søltoft-Jensen, Aleksander Heide-Jørgensen, Mads Peter Ditlevsen, Susanne 2020 application/pdf https://curis.ku.dk/portal/da/publications/modelling-the-sound-production-of-narwhals-using-a-point-process-framework-with-memory-effects(120bb2b3-2972-4071-bf52-d3d1779c576d).html https://doi.org/10.1214/20-AOAS1379 https://curis.ku.dk/ws/files/254663915/MODELLING_THE_SOUND_PRODUCTION_OF_NARWHALS_USING.pdf http://www.scopus.com/inward/record.url?scp=85098279965&partnerID=8YFLogxK eng eng info:eu-repo/semantics/openAccess Søltoft-Jensen , A , Heide-Jørgensen , M P & Ditlevsen , S 2020 , ' Modelling the sound production of narwhals using a point process framework with memory effects ' , Annals of Applied Statistics , vol. 14 , no. 4 , pp. 2037-2052 . https://doi.org/10.1214/20-AOAS1379 Autoregressive process Behavioural data of marine mammals Buzz and call Ecology Logistic regression with memory Narwhal Point process article 2020 ftcopenhagenunip https://doi.org/10.1214/20-AOAS1379 2024-05-16T11:29:18Z Obtaining an adequate description of the behaviour of narwhals in a pristine environment is important to understand natural behaviour as well as providing the means to determine potential changes in behaviour directly or indirectly caused by human activity. Based on Acousonde™ data from five narwhals in Scoresby Sound, this paper aims at modelling buzzing and calling rates of East Greenland narwhals as functions of time, space and, possibly, autoregressive memory. Both buzzing and calling are sounds produced by narwhals. Buzzing is a way for the whale to navigate and locate prey using echolocation, while calling is associated with social communication between whales. Logistic regression models without and with autoregressive components are compared based on AIC and comparatively assessed using diagnostics from point process theory. Adding an autoregressive component appears to improve the models, and further improvements for the buzzing model are made with a non-GLM extension. Effects of extrinsic covariates and memory are presented and interpreted. Buzzing occurs at deeper depths, and initiations of buzzes are separated by refractory periods. A possible feeding area is identified. Calling occurs closer to the surface, and, while the probability of calling in general is lower than buzzing, it is more likely that calls are clustered together rather than spread randomly. Article in Journal/Newspaper East Greenland Greenland narwhal* Scoresby Sound University of Copenhagen: Research Greenland Scoresby ENVELOPE(162.750,162.750,-66.567,-66.567) The Annals of Applied Statistics 14 4
institution Open Polar
collection University of Copenhagen: Research
op_collection_id ftcopenhagenunip
language English
topic Autoregressive process
Behavioural data of marine mammals
Buzz and call
Ecology
Logistic regression with memory
Narwhal
Point process
spellingShingle Autoregressive process
Behavioural data of marine mammals
Buzz and call
Ecology
Logistic regression with memory
Narwhal
Point process
Søltoft-Jensen, Aleksander
Heide-Jørgensen, Mads Peter
Ditlevsen, Susanne
Modelling the sound production of narwhals using a point process framework with memory effects
topic_facet Autoregressive process
Behavioural data of marine mammals
Buzz and call
Ecology
Logistic regression with memory
Narwhal
Point process
description Obtaining an adequate description of the behaviour of narwhals in a pristine environment is important to understand natural behaviour as well as providing the means to determine potential changes in behaviour directly or indirectly caused by human activity. Based on Acousonde™ data from five narwhals in Scoresby Sound, this paper aims at modelling buzzing and calling rates of East Greenland narwhals as functions of time, space and, possibly, autoregressive memory. Both buzzing and calling are sounds produced by narwhals. Buzzing is a way for the whale to navigate and locate prey using echolocation, while calling is associated with social communication between whales. Logistic regression models without and with autoregressive components are compared based on AIC and comparatively assessed using diagnostics from point process theory. Adding an autoregressive component appears to improve the models, and further improvements for the buzzing model are made with a non-GLM extension. Effects of extrinsic covariates and memory are presented and interpreted. Buzzing occurs at deeper depths, and initiations of buzzes are separated by refractory periods. A possible feeding area is identified. Calling occurs closer to the surface, and, while the probability of calling in general is lower than buzzing, it is more likely that calls are clustered together rather than spread randomly.
format Article in Journal/Newspaper
author Søltoft-Jensen, Aleksander
Heide-Jørgensen, Mads Peter
Ditlevsen, Susanne
author_facet Søltoft-Jensen, Aleksander
Heide-Jørgensen, Mads Peter
Ditlevsen, Susanne
author_sort Søltoft-Jensen, Aleksander
title Modelling the sound production of narwhals using a point process framework with memory effects
title_short Modelling the sound production of narwhals using a point process framework with memory effects
title_full Modelling the sound production of narwhals using a point process framework with memory effects
title_fullStr Modelling the sound production of narwhals using a point process framework with memory effects
title_full_unstemmed Modelling the sound production of narwhals using a point process framework with memory effects
title_sort modelling the sound production of narwhals using a point process framework with memory effects
publishDate 2020
url https://curis.ku.dk/portal/da/publications/modelling-the-sound-production-of-narwhals-using-a-point-process-framework-with-memory-effects(120bb2b3-2972-4071-bf52-d3d1779c576d).html
https://doi.org/10.1214/20-AOAS1379
https://curis.ku.dk/ws/files/254663915/MODELLING_THE_SOUND_PRODUCTION_OF_NARWHALS_USING.pdf
http://www.scopus.com/inward/record.url?scp=85098279965&partnerID=8YFLogxK
long_lat ENVELOPE(162.750,162.750,-66.567,-66.567)
geographic Greenland
Scoresby
geographic_facet Greenland
Scoresby
genre East Greenland
Greenland
narwhal*
Scoresby Sound
genre_facet East Greenland
Greenland
narwhal*
Scoresby Sound
op_source Søltoft-Jensen , A , Heide-Jørgensen , M P & Ditlevsen , S 2020 , ' Modelling the sound production of narwhals using a point process framework with memory effects ' , Annals of Applied Statistics , vol. 14 , no. 4 , pp. 2037-2052 . https://doi.org/10.1214/20-AOAS1379
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1214/20-AOAS1379
container_title The Annals of Applied Statistics
container_volume 14
container_issue 4
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