IMIS | Flanders Marine Institute
 

Flanders Marine Institute

Platform for marine research

IMIS

Publications | Institutes | Persons | Datasets | Projects | Maps
[ report an error in this record ]basket (0): add | show Printer-friendly version

Hidden Markov models capture behavioral responses to suction-cup tag deployment: a functional state approach to behavioral context
Isojunno, S.; Miller, P.J.O. (2016). Hidden Markov models capture behavioral responses to suction-cup tag deployment: a functional state approach to behavioral context, in: Popper, A.N. et al. (Ed.) The effects of noise on aquatic life II. Advances in Experimental Medicine and Biology, 875: pp. 489-496. hdl.handle.net/10.1007/978-1-4939-2981-8_59
In: Popper, A.N.; Hawkins, A. (Ed.) (2016). The effects of noise on aquatic life II. Advances in Experimental Medicine and Biology, 875. Springer Science+Business Media, Inc: New York. ISBN 978-1-4939-2980-1. xxx, 1292 pp., more
In: Advances in Experimental Medicine and Biology. Springer: Berlin. ISSN 0065-2598, more
Peer reviewed article  

Available in Authors 

Keywords
    Bayesian; Marine
Author keywords
    Behavioral state; Proxies; Animal-attached tags; Tagging effects

Authors  Top 
  • Isojunno, S.
  • Miller, P.J.O.

Abstract
    The biological consequences of behavioral responses to anthropogenic noise depend on context. We explore the links between individual motivation, condition, and external constraints in a concept model and illustrate the use of motivational-behavioral states as a means to quantify the biologically relevant effects of tagging. Behavioral states were estimated from multiple streams of data in a hidden Markov model and used to test the change in foraging effort and the change in energetic success or cost given the effort. The presence of a tag boat elicited a short-term reduction in time spent in foraging states but not for proxies for success or cost within foraging states.

All data in IMIS is subject to the VLIZ privacy policy Top | Authors