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Animal Ecology Meets GPS-based Radiotelemetry: a Perfect Storm of Opportunities and Challenges

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Specialty Biology
Date 2010 Jun 23
PMID 20566493
Citations 163
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Abstract

Global positioning system (GPS) telemetry technology allows us to monitor and to map the details of animal movement, securing vast quantities of such data even for highly cryptic organisms. We envision an exciting synergy between animal ecology and GPS-based radiotelemetry, as for other examples of new technologies stimulating rapid conceptual advances, where research opportunities have been paralleled by technical and analytical challenges. Animal positions provide the elemental unit of movement paths and show where individuals interact with the ecosystems around them. We discuss how knowing where animals go can help scientists in their search for a mechanistic understanding of key concepts of animal ecology, including resource use, home range and dispersal, and population dynamics. It is probable that in the not-so-distant future, intense sampling of movements coupled with detailed information on habitat features at a variety of scales will allow us to represent an animal's cognitive map of its environment, and the intimate relationship between behaviour and fitness. An extended use of these data over long periods of time and over large spatial scales can provide robust inferences for complex, multi-factorial phenomena, such as meta-analyses of the effects of climate change on animal behaviour and distribution.

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References
1.
Rutz C, Hays G . New frontiers in biologging science. Biol Lett. 2009; 5(3):289-92. PMC: 2679933. DOI: 10.1098/rsbl.2009.0089. View

2.
Kie J, Matthiopoulos J, Fieberg J, Powell R, Cagnacci F, Mitchell M . The home-range concept: are traditional estimators still relevant with modern telemetry technology?. Philos Trans R Soc Lond B Biol Sci. 2010; 365(1550):2221-31. PMC: 2894967. DOI: 10.1098/rstb.2010.0093. View

3.
Nathan R, Getz W, Revilla E, Holyoak M, Kadmon R, Saltz D . A movement ecology paradigm for unifying organismal movement research. Proc Natl Acad Sci U S A. 2008; 105(49):19052-9. PMC: 2614714. DOI: 10.1073/pnas.0800375105. View

4.
Wittemyer G, Polansky L, Douglas-Hamilton I, Getz W . Disentangling the effects of forage, social rank, and risk on movement autocorrelation of elephants using Fourier and wavelet analyses. Proc Natl Acad Sci U S A. 2008; 105(49):19108-13. PMC: 2614723. DOI: 10.1073/pnas.0801744105. View

5.
Frair J, Fieberg J, Hebblewhite M, Cagnacci F, DeCesare N, Pedrotti L . Resolving issues of imprecise and habitat-biased locations in ecological analyses using GPS telemetry data. Philos Trans R Soc Lond B Biol Sci. 2010; 365(1550):2187-200. PMC: 2894963. DOI: 10.1098/rstb.2010.0084. View