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...
Published in: | Ecology |
---|---|
Main Authors: | , , , , , |
Other Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2018
|
Subjects: | |
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 |