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 $\text{Acousonde}^{\text{TM}}$ da...
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ftculeuclid:oai:CULeuclid:euclid.aoas/1608346911 2023-05-15T16:03:50+02:00 Modelling the sound production of narwhals using a point process framework with memory effects Søltoft-Jensen, Aleksander Heide-Jørgensen, Mads Peter Ditlevsen, Susanne 2020-12 application/pdf https://projecteuclid.org/euclid.aoas/1608346911 https://doi.org/10.1214/20-AOAS1379 en eng The Institute of Mathematical Statistics 1932-6157 1941-7330 https://projecteuclid.org/euclid.aoas/1608346911 Ann. Appl. Stat. 14, no. 4 (2020), 2037-2052 doi:10.1214/20-AOAS1379 Copyright 2020 Institute of Mathematical Statistics Point process narwhal buzz and call logistic regression with memory autoregressive process behavioural data of marine mammals ecology Text 2020 ftculeuclid https://doi.org/10.1214/20-AOAS1379 2020-12-20T01:13:14Z 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 $\text{Acousonde}^{\text{TM}}$ 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. Text East Greenland Greenland narwhal* Scoresby Sound Project Euclid (Cornell University Library) Greenland Scoresby ENVELOPE(162.750,162.750,-66.567,-66.567) The Annals of Applied Statistics 14 4 |
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Open Polar |
collection |
Project Euclid (Cornell University Library) |
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ftculeuclid |
language |
English |
topic |
Point process narwhal buzz and call logistic regression with memory autoregressive process behavioural data of marine mammals ecology |
spellingShingle |
Point process narwhal buzz and call logistic regression with memory autoregressive process behavioural data of marine mammals ecology 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 |
Point process narwhal buzz and call logistic regression with memory autoregressive process behavioural data of marine mammals ecology |
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 $\text{Acousonde}^{\text{TM}}$ 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 |
Text |
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 |
publisher |
The Institute of Mathematical Statistics |
publishDate |
2020 |
url |
https://projecteuclid.org/euclid.aoas/1608346911 https://doi.org/10.1214/20-AOAS1379 |
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_relation |
1932-6157 1941-7330 https://projecteuclid.org/euclid.aoas/1608346911 Ann. Appl. Stat. 14, no. 4 (2020), 2037-2052 doi:10.1214/20-AOAS1379 |
op_rights |
Copyright 2020 Institute of Mathematical Statistics |
op_doi |
https://doi.org/10.1214/20-AOAS1379 |
container_title |
The Annals of Applied Statistics |
container_volume |
14 |
container_issue |
4 |
_version_ |
1766399519722831872 |