|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
Behavioral state; Proxies; Animal-attached tags; Tagging effects
|Authors|| || Top |
- Isojunno, S.
- Miller, P.J.O.
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.