Estimation and simulation of foraging trips in land-based marine predators

TM and TP received support from IMBER-CLIOTOP and Macquarie University Safety Net Grant 9201401743. SB was supported under an Australia Research Council Super Science Fellowship. IDJ was supported by a Macquarie Vice-Chancellors Innovation Fellowship. TAP was supported by a CSIRO Julius Career Award...

Full description

Bibliographic Details
Published in:Ecology
Main Authors: Michelot, Theo, Langrock, Roland, Bestley, Sophie, Jonsen, Ian D., Photopoulou, Theoni, Patterson, Toby A.
Other Authors: University of St Andrews. School of Mathematics and Statistics, University of St Andrews. School of Biology
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
DAS
Online Access:http://hdl.handle.net/10023/13114
https://doi.org/10.1002/ecy.1880
id ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/13114
record_format openpolar
spelling ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/13114 2023-07-02T03:32:08+02:00 Estimation and simulation of foraging trips in land-based marine predators Michelot, Theo Langrock, Roland Bestley, Sophie Jonsen, Ian D. Photopoulou, Theoni Patterson, Toby A. University of St Andrews. School of Mathematics and Statistics University of St Andrews. School of Biology 2018-04-11T10:44:18Z 13 application/pdf http://hdl.handle.net/10023/13114 https://doi.org/10.1002/ecy.1880 eng eng Ecology Michelot , T , Langrock , R , Bestley , S , Jonsen , I D , Photopoulou , T & Patterson , T A 2017 , ' Estimation and simulation of foraging trips in land-based marine predators ' , Ecology , vol. 98 , no. 7 , pp. 1932-1944 . https://doi.org/10.1002/ecy.1880 0012-9658 PURE: 252783175 PURE UUID: 00daa32a-620c-440a-b0f8-bbbe72d84c41 WOS: 000404875100019 Scopus: 85020443588 ORCID: /0000-0001-9616-9940/work/44748887 http://hdl.handle.net/10023/13114 https://doi.org/10.1002/ecy.1880 © 2017 by the Ecological Society of America. This work is made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at: https://doi.org/10.1002/ecy.1880 Animal telemetry Central place foraging Hidden Markov model Mirounga leonina Southern elephant seal QH301 Biology DAS SDG 14 - Life Below Water QH301 Journal article 2018 ftstandrewserep https://doi.org/10.1002/ecy.1880 2023-06-13T18:28:48Z TM and TP received support from IMBER-CLIOTOP and Macquarie University Safety Net Grant 9201401743. SB was supported under an Australia Research Council Super Science Fellowship. IDJ was supported by a Macquarie Vice-Chancellors Innovation Fellowship. TAP was supported by a CSIRO Julius Career Award and the Villum Foundation. The behavior of colony-based marine predators is the focus of much research globally. Large telemetry and tracking data sets have been collected for this group of animals, and are accompanied by many empirical studies that seek to segment tracks in some useful way, as well as theoretical studies of optimal foraging strategies. However, relatively few studies have detailed statistical methods for inferring behaviors in central place foraging trips. In this paper we describe an approach based on hidden Markov models, which splits foraging trips into segments labeled as "outbound", "search", "forage", and "inbound". By structuring the hidden Markov model transition matrix appropriately, the model naturally handles the sequence of behaviors within a foraging trip. Additionally, by structuring the model in this way, we are able to develop realistic simulations from the fitted model. We demonstrate our approach on data from southern elephant seals (Mirounga leonina) tagged on Kerguelen Island in the Southern Ocean. We discuss the differences between our 4-state model and the widely used 2-state model, and the advantages and disadvantages of employing a more complex model. Publisher PDF Peer reviewed Article in Journal/Newspaper Elephant Seal Elephant Seals Mirounga leonina Southern Elephant Seal Southern Elephant Seals Southern Ocean University of St Andrews: Digital Research Repository Kerguelen Kerguelen Island ENVELOPE(69.500,69.500,-49.250,-49.250) Southern Ocean Ecology 98 7 1932 1944
institution Open Polar
collection University of St Andrews: Digital Research Repository
op_collection_id ftstandrewserep
language English
topic Animal telemetry
Central place foraging
Hidden Markov model
Mirounga leonina
Southern elephant seal
QH301 Biology
DAS
SDG 14 - Life Below Water
QH301
spellingShingle Animal telemetry
Central place foraging
Hidden Markov model
Mirounga leonina
Southern elephant seal
QH301 Biology
DAS
SDG 14 - Life Below Water
QH301
Michelot, Theo
Langrock, Roland
Bestley, Sophie
Jonsen, Ian D.
Photopoulou, Theoni
Patterson, Toby A.
Estimation and simulation of foraging trips in land-based marine predators
topic_facet Animal telemetry
Central place foraging
Hidden Markov model
Mirounga leonina
Southern elephant seal
QH301 Biology
DAS
SDG 14 - Life Below Water
QH301
description TM and TP received support from IMBER-CLIOTOP and Macquarie University Safety Net Grant 9201401743. SB was supported under an Australia Research Council Super Science Fellowship. IDJ was supported by a Macquarie Vice-Chancellors Innovation Fellowship. TAP was supported by a CSIRO Julius Career Award and the Villum Foundation. The behavior of colony-based marine predators is the focus of much research globally. Large telemetry and tracking data sets have been collected for this group of animals, and are accompanied by many empirical studies that seek to segment tracks in some useful way, as well as theoretical studies of optimal foraging strategies. However, relatively few studies have detailed statistical methods for inferring behaviors in central place foraging trips. In this paper we describe an approach based on hidden Markov models, which splits foraging trips into segments labeled as "outbound", "search", "forage", and "inbound". By structuring the hidden Markov model transition matrix appropriately, the model naturally handles the sequence of behaviors within a foraging trip. Additionally, by structuring the model in this way, we are able to develop realistic simulations from the fitted model. We demonstrate our approach on data from southern elephant seals (Mirounga leonina) tagged on Kerguelen Island in the Southern Ocean. We discuss the differences between our 4-state model and the widely used 2-state model, and the advantages and disadvantages of employing a more complex model. Publisher PDF Peer reviewed
author2 University of St Andrews. School of Mathematics and Statistics
University of St Andrews. School of Biology
format Article in Journal/Newspaper
author Michelot, Theo
Langrock, Roland
Bestley, Sophie
Jonsen, Ian D.
Photopoulou, Theoni
Patterson, Toby A.
author_facet Michelot, Theo
Langrock, Roland
Bestley, Sophie
Jonsen, Ian D.
Photopoulou, Theoni
Patterson, Toby A.
author_sort Michelot, Theo
title Estimation and simulation of foraging trips in land-based marine predators
title_short Estimation and simulation of foraging trips in land-based marine predators
title_full Estimation and simulation of foraging trips in land-based marine predators
title_fullStr Estimation and simulation of foraging trips in land-based marine predators
title_full_unstemmed Estimation and simulation of foraging trips in land-based marine predators
title_sort estimation and simulation of foraging trips in land-based marine predators
publishDate 2018
url http://hdl.handle.net/10023/13114
https://doi.org/10.1002/ecy.1880
long_lat ENVELOPE(69.500,69.500,-49.250,-49.250)
geographic Kerguelen
Kerguelen Island
Southern Ocean
geographic_facet Kerguelen
Kerguelen Island
Southern Ocean
genre Elephant Seal
Elephant Seals
Mirounga leonina
Southern Elephant Seal
Southern Elephant Seals
Southern Ocean
genre_facet Elephant Seal
Elephant Seals
Mirounga leonina
Southern Elephant Seal
Southern Elephant Seals
Southern Ocean
op_relation Ecology
Michelot , T , Langrock , R , Bestley , S , Jonsen , I D , Photopoulou , T & Patterson , T A 2017 , ' Estimation and simulation of foraging trips in land-based marine predators ' , Ecology , vol. 98 , no. 7 , pp. 1932-1944 . https://doi.org/10.1002/ecy.1880
0012-9658
PURE: 252783175
PURE UUID: 00daa32a-620c-440a-b0f8-bbbe72d84c41
WOS: 000404875100019
Scopus: 85020443588
ORCID: /0000-0001-9616-9940/work/44748887
http://hdl.handle.net/10023/13114
https://doi.org/10.1002/ecy.1880
op_rights © 2017 by the Ecological Society of America. This work is made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at: https://doi.org/10.1002/ecy.1880
op_doi https://doi.org/10.1002/ecy.1880
container_title Ecology
container_volume 98
container_issue 7
container_start_page 1932
op_container_end_page 1944
_version_ 1770271627519459328