Identification of animal movement patterns using tri-axial accelerometry

Shepard, Emily L. C., Wilson, Rory P., Quintana, Flavio, Gomez-Laich, Agustina, Liebsch, Nikolai, Albareda, Diego A., Halsey, Lewis G., Gleiss, Andrian, Morgan, David T., Myers, Andrew E., Newman, Chris and MacDonald, David W. (2010) Identification of animal movement patterns using tri-axial accelerometry. Endangered Species Research, 10 1: 47-60. doi:10.3354/esr00084

Author Shepard, Emily L. C.
Wilson, Rory P.
Quintana, Flavio
Gomez-Laich, Agustina
Liebsch, Nikolai
Albareda, Diego A.
Halsey, Lewis G.
Gleiss, Andrian
Morgan, David T.
Myers, Andrew E.
Newman, Chris
MacDonald, David W.
Title Identification of animal movement patterns using tri-axial accelerometry
Journal name Endangered Species Research   Check publisher's open access policy
ISSN 1863-5407
Publication date 2010
Sub-type Article (original research)
DOI 10.3354/esr00084
Open Access Status DOI
Volume 10
Issue 1
Start page 47
End page 60
Total pages 14
Place of publication Oldendorf, Germany
Publisher Inter-Research
Language eng
Formatted abstract
An animal's behaviour is a response to its environment and physiological condition, and as such, gives vital clues as to its well-being, which is highly relevant in conservation issues. Behaviour can generally be typified by body motion and body posture, parameters that are both measurable using animal-attached accelerometers. Interpretation of acceleration data, however, can be complex, as the static (indicative of posture) and dynamic (motion) components are derived from the total acceleration values, which should ideally be recorded in all 3-dimensional axes. The principles of triaxial accelerometry are summarised and discussed in terms of the commonalities that arise in patterns of acceleration across species that vary in body pattern, life-history strategy, and the medium they inhabit. Using tri-axial acceleration data from deployments on captive and free-living animals (n = 12 species), behaviours were identified that varied in complexity, from the rhythmic patterns of locomotion, to feeding, and more variable patterns including those relating to social interactions. These data can be combined with positional information to qualify patterns of area-use and map the distribution of target behaviours. The range and distribution of behaviour may also provide insight into the transmission of disease. In this way, the measurement of tri-axial acceleration can provide insight into individual and population level processes, which may ultimately influence the effectiveness of conservation practice.
© 2008 Inter-Research.
Keyword Acceleration
Archival tag
Satellite tracking
Time Budgets
Energy expenditures
Stroke frequency
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
ERA 2012 Admin Only
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Citation counts: Scopus Citation Count Cited 75 times in Scopus Article | Citations
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Created: Mon, 17 Oct 2011, 09:22:43 EST by Nikolai Liebsch on behalf of Queensland Brain Institute