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Hidden Markov models capture behavioral responses to suction-cup tag deployment: a functional state approach to behavioural context

Research output: Chapter in Book/Report/Conference proceedingOther contribution

Standard

Hidden Markov models capture behavioral responses to suction-cup tag deployment: a functional state approach to behavioural context. / Isojunno, Saana; Miller, Patrick James O Malley.

The Effects of Noise on Aquatic Life II. New York : Springer, 2016. p. 489-496.

Research output: Chapter in Book/Report/Conference proceedingOther contribution

Harvard

Isojunno, S & Miller, PJOM 2016, Hidden Markov models capture behavioral responses to suction-cup tag deployment: a functional state approach to behavioural context. in The Effects of Noise on Aquatic Life II. Springer, New York, pp. 489-496. https://doi.org/10.1007/978-1-4419-7311-5

APA

Isojunno, S., & Miller, P. J. O. M. (2016). Hidden Markov models capture behavioral responses to suction-cup tag deployment: a functional state approach to behavioural context. In The Effects of Noise on Aquatic Life II (pp. 489-496). New York: Springer. https://doi.org/10.1007/978-1-4419-7311-5

Vancouver

Isojunno S, Miller PJOM. Hidden Markov models capture behavioral responses to suction-cup tag deployment: a functional state approach to behavioural context. In The Effects of Noise on Aquatic Life II. New York: Springer. 2016. p. 489-496 https://doi.org/10.1007/978-1-4419-7311-5

Author

Isojunno, Saana ; Miller, Patrick James O Malley. / Hidden Markov models capture behavioral responses to suction-cup tag deployment: a functional state approach to behavioural context. The Effects of Noise on Aquatic Life II. New York : Springer, 2016. pp. 489-496

Bibtex - Download

@inbook{ccdec82341f545fb9342fb509ba426a0,
title = "Hidden Markov models capture behavioral responses to suction-cup tag deployment: a functional state approach to behavioural context",
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.",
keywords = "animal-attached tags,behavioral state,proxies,tagging effects",
author = "Saana Isojunno and Miller, {Patrick James O Malley}",
year = "2016",
doi = "10.1007/978-1-4419-7311-5",
language = "English",
isbn = "978-1-4419-7310-8",
pages = "489--496",
booktitle = "The Effects of Noise on Aquatic Life II",
publisher = "Springer",

}

RIS (suitable for import to EndNote) - Download

TY - CHAP

T1 - Hidden Markov models capture behavioral responses to suction-cup tag deployment: a functional state approach to behavioural context

AU - Isojunno, Saana

AU - Miller, Patrick James O Malley

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - animal-attached tags,behavioral state,proxies,tagging effects

U2 - 10.1007/978-1-4419-7311-5

DO - 10.1007/978-1-4419-7311-5

M3 - Other contribution

SN - 978-1-4419-7310-8

SP - 489

EP - 496

BT - The Effects of Noise on Aquatic Life II

PB - Springer

CY - New York

ER -

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ID: 251763494