Behavioural switching in a central place forager: patterns of diving behaviour in the macaroni penguin (Eudyptes chrysolophus)

Recording the activity of animals as they migrate or forage has proven hugely advantageous to understanding how animals use their environment. Where animals cannot be directly observed, the problem remains of how to identify distinct behaviours that represent an animal's decision-making process...

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Published in:Marine Biology
Main Authors: Hart, T, Mann, R, Coulson, T, Pettorelli, N, Trathan, P
Format: Article in Journal/Newspaper
Language:English
Published: 2016
Subjects:
Online Access:https://doi.org/10.1007/s00227-010-1428-2
https://ora.ox.ac.uk/objects/uuid:b97a4c63-d9bc-4e9b-90d8-bbb2a154a2d0
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spelling ftuloxford:oai:ora.ox.ac.uk:uuid:b97a4c63-d9bc-4e9b-90d8-bbb2a154a2d0 2023-05-15T15:44:44+02:00 Behavioural switching in a central place forager: patterns of diving behaviour in the macaroni penguin (Eudyptes chrysolophus) Hart, T Mann, R Coulson, T Pettorelli, N Trathan, P 2016-07-29 https://doi.org/10.1007/s00227-010-1428-2 https://ora.ox.ac.uk/objects/uuid:b97a4c63-d9bc-4e9b-90d8-bbb2a154a2d0 eng eng doi:10.1007/s00227-010-1428-2 https://ora.ox.ac.uk/objects/uuid:b97a4c63-d9bc-4e9b-90d8-bbb2a154a2d0 https://doi.org/10.1007/s00227-010-1428-2 info:eu-repo/semantics/embargoedAccess Journal article 2016 ftuloxford https://doi.org/10.1007/s00227-010-1428-2 2022-06-28T20:22:15Z Recording the activity of animals as they migrate or forage has proven hugely advantageous to understanding how animals use their environment. Where animals cannot be directly observed, the problem remains of how to identify distinct behaviours that represent an animal's decision-making process. An excellent example of this problem is that of foraging penguins, which travel to sea to find prey to provision their young. Without direct sampling of the prey field, we cannot calibrate patterns of movement with prey capture, and therefore we cannot determine how different activities link to decision-making. To overcome this, we use a hidden markov model (HMM), which is a machine-learning technique that seeks to identify the underlying states of a system from observable outputs. We apply HMM to determine classes of behaviour from repetitive dives. We take dive data from 103 breeding macaroni penguins at Bird Island, South Georgia, for which we have measures of weight gain over a trip. We identify two classes of behaviour; those of short-shallow and long-deep dives. Using these two behaviours, we calculate the transition probabilities between these states and analyse these data to determine what predicts variation in the transition probabilities. We found that the stage of reproduction during a season, the sex and year of an individual influenced the probability of transition between long-deep and short-shallow sequential dives. We also found differences in the hourly transition rates between the four reproductive stages (incubation, broodguard, crèche and premoult) over a daily cycle. We conclude that this application of HMMs for behavioural switching is potentially useful for other species and other types of recorded behaviour. © 2010 Springer-Verlag. Article in Journal/Newspaper Bird Island Eudyptes chrysolophus Macaroni penguin ORA - Oxford University Research Archive Bird Island ENVELOPE(-38.060,-38.060,-54.004,-54.004) Marine Biology 157 7 1543 1553
institution Open Polar
collection ORA - Oxford University Research Archive
op_collection_id ftuloxford
language English
description Recording the activity of animals as they migrate or forage has proven hugely advantageous to understanding how animals use their environment. Where animals cannot be directly observed, the problem remains of how to identify distinct behaviours that represent an animal's decision-making process. An excellent example of this problem is that of foraging penguins, which travel to sea to find prey to provision their young. Without direct sampling of the prey field, we cannot calibrate patterns of movement with prey capture, and therefore we cannot determine how different activities link to decision-making. To overcome this, we use a hidden markov model (HMM), which is a machine-learning technique that seeks to identify the underlying states of a system from observable outputs. We apply HMM to determine classes of behaviour from repetitive dives. We take dive data from 103 breeding macaroni penguins at Bird Island, South Georgia, for which we have measures of weight gain over a trip. We identify two classes of behaviour; those of short-shallow and long-deep dives. Using these two behaviours, we calculate the transition probabilities between these states and analyse these data to determine what predicts variation in the transition probabilities. We found that the stage of reproduction during a season, the sex and year of an individual influenced the probability of transition between long-deep and short-shallow sequential dives. We also found differences in the hourly transition rates between the four reproductive stages (incubation, broodguard, crèche and premoult) over a daily cycle. We conclude that this application of HMMs for behavioural switching is potentially useful for other species and other types of recorded behaviour. © 2010 Springer-Verlag.
format Article in Journal/Newspaper
author Hart, T
Mann, R
Coulson, T
Pettorelli, N
Trathan, P
spellingShingle Hart, T
Mann, R
Coulson, T
Pettorelli, N
Trathan, P
Behavioural switching in a central place forager: patterns of diving behaviour in the macaroni penguin (Eudyptes chrysolophus)
author_facet Hart, T
Mann, R
Coulson, T
Pettorelli, N
Trathan, P
author_sort Hart, T
title Behavioural switching in a central place forager: patterns of diving behaviour in the macaroni penguin (Eudyptes chrysolophus)
title_short Behavioural switching in a central place forager: patterns of diving behaviour in the macaroni penguin (Eudyptes chrysolophus)
title_full Behavioural switching in a central place forager: patterns of diving behaviour in the macaroni penguin (Eudyptes chrysolophus)
title_fullStr Behavioural switching in a central place forager: patterns of diving behaviour in the macaroni penguin (Eudyptes chrysolophus)
title_full_unstemmed Behavioural switching in a central place forager: patterns of diving behaviour in the macaroni penguin (Eudyptes chrysolophus)
title_sort behavioural switching in a central place forager: patterns of diving behaviour in the macaroni penguin (eudyptes chrysolophus)
publishDate 2016
url https://doi.org/10.1007/s00227-010-1428-2
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long_lat ENVELOPE(-38.060,-38.060,-54.004,-54.004)
geographic Bird Island
geographic_facet Bird Island
genre Bird Island
Eudyptes chrysolophus
Macaroni penguin
genre_facet Bird Island
Eudyptes chrysolophus
Macaroni penguin
op_relation doi:10.1007/s00227-010-1428-2
https://ora.ox.ac.uk/objects/uuid:b97a4c63-d9bc-4e9b-90d8-bbb2a154a2d0
https://doi.org/10.1007/s00227-010-1428-2
op_rights info:eu-repo/semantics/embargoedAccess
op_doi https://doi.org/10.1007/s00227-010-1428-2
container_title Marine Biology
container_volume 157
container_issue 7
container_start_page 1543
op_container_end_page 1553
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