File(s) under permanent embargo
Estimating animal behavior and residency from movement data
journal contribution
posted on 2023-05-19, 09:15 authored by Pedersen, MW, Patterson, TA, Thygesen, UH, Madsen, HWe present a process-based approach to estimate residency and behavior from uncertain and temporally correlated movement data collected with electronic tags. The estimation problem is formulated as a hidden Markov model (HMM) on a spatial grid in continuous time, which allows straightforward implementation of barriers to movement. Using the grid to explicitly resolve space, location estimation can be supplemented by or based entirely on environmental data (e.g. temperature, daylight). The HMM method can therefore analyze any type of electronic tag data. The HMM computes the joint posterior probability distribution of location and behavior at each point in time. With this, the behavioral state of the animal can be associated to regions in space, thus revealing migration corridors and residence areas. We demonstrate the inferential potential of the method by analyzing satellite-linked archival tag data from a southern bluefin tuna Thunnus maccoyii where longitudinal coordinates inferred from daylight are supplemented by latitudinal information in recorded sea surface temperatures.
History
Publication title
Oikos: A Journal of EcologyVolume
120Issue
9Pagination
1281ISSN
0030-1299Publisher
Blackwell MunksgaardPlace of publication
35 Norre Sogade, Po Box 2148, Copenhagen, Denmark, Dk-1016Rights statement
© 2011 The Authors. Oikos © 2011 Nordic Society OikosRepository Status
- Restricted