St Andrews Research Repository

View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

View/Open
Michelot_2017_Ecology_ForagingTrips_FinalPubVersion.pdf (2.262Mb)
Date
07/2017
Author
Michelot, Theo
Langrock, Roland
Bestley, Sophie
Jonsen, Ian D.
Photopoulou, Theoni
Patterson, Toby A.
Keywords
Animal telemetry
Central place foraging
Hidden Markov model
Mirounga leonina
Southern elephant seal
QH301 Biology
DAS
Metadata
Show full item record
Abstract
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.
Citation
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 . DOI: 10.1002/ecy.1880
Publication
Ecology
Status
Peer reviewed
DOI
http://dx.doi.org/10.1002/ecy.1880
ISSN
0012-9658
Type
Journal article
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
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.
Collections
  • Mathematics & Statistics Research
  • Biology Research
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/13114

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

How to submit research papers

The full text of research papers can be submitted to the repository via PURE, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter