The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Identification of animal movement patterns using tri-axial accelerometry
Open accessAbstract
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.
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WILSON, R. P., WHITE, C. R., QUINTANA, F., HALSEY, L. G., LIEBSCH, N., MARTIN, G. R., & BUTLER, P. J. (2006) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2006.01127.x · Cited by 797
Self-citationSato, K., Watanuki, Y., Takahashi, A., Miller, P. J. O., Tanaka, H., Kawabe, R., Ponganis, P. J., Handrich, Y., Akamatsu, T., Watanabe, Y., et al. (2007) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2006.0005 · Cited by 217
Cited by
Observing the unwatchable through acceleration logging of animal behavior
Brown, D. D., Kays, R., Wikelski, M., Wilson, R., & Klimley, A. (2013) · Animal Biotelemetry · doi:10.1186/2050-3385-1-20 · Cited by 623
Self-citationQuantifying levels of animal activity using camera trap data
Rowcliffe, J. M., Kays, R., Kranstauber, B., Carbone, C., & Jansen, P. A. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12278 · Cited by 580
Garland, T., Schutz, H., Chappell, M. A., Keeney, B. K., Meek, T. H., Copes, L. E., Acosta, W., Drenowatz, C., Maciel, R. C., van Dijk, G., et al. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.048397 · Cited by 444
Qasem, L., Cardew, A., Wilson, A., Griffiths, I., Halsey, L. G., Shepard, E. L. C., Gleiss, A. C., & Wilson, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031187 · Cited by 399
Self-citationOptimizing the use of biologgers for movement ecology research
Williams, H. J., Taylor, L. A., Benhamou, S., Bijleveld, A. I., Clay, T. A., de Grissac, S., Demšar, U., English, H. M., Franconi, N., Gómez‐Laich, A., et al. (2020) · Journal of Animal Ecology · doi:10.1111/1365-2656.13094 · Cited by 333
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Metadata
- Authors
- Shepard, E., Wilson, R., Quintana, F., Gómez Laich, A., Liebsch, N., Albareda, D., Halsey, L., Gleiss, A., Morgan, D., Myers, A., Newman, C., & McDonald, D.
- Venue
- Endangered Species Research
- Publisher
- Inter-Research Science Center
- Published
- 2008-03-31
- Volume
- 10
- Pages
- 47-60
- ISSN
- 1613-4796 (ISSN-L)
- 1863-5407
- OpenAlex
- W2162989219
- Cited by
- 534
- References
- 2
- FWCI
- 8.76
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Shepard, E., Wilson, R., Quintana, F., Gómez Laich, A., Liebsch, N., Albareda, D., Halsey, L., Gleiss, A., Morgan, D., Myers, A., Newman, C., & McDonald, D. (2008). Identification of animal movement patterns using tri-axial accelerometry. Endangered Species Research. https://doi.org/10.3354/esr00084
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