Resolving issues of imprecise and habitat-biased locations in ecological analyses using GPS telemetry data
By Jacqui Frair, J. Fieberg, Mark Hebblewhite, Francesca Cagnacci, N. DeCesare, L. Pedrotti. Philosophical Transactions of the Royal Society B: Biological Sciences, 2010
418 citations recorded by the source corpus.
Subfields: Ecology
View Paper: https://www.semanticscholar.org/paper/e2d7bf3a0b36c3da5946add1b5b37b9510880b96
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- M. Boyce
- Mark Hebblewhite
- J. Fieberg
- Jason Matthiopoulos
- Daniel T. Haydon
- Francesca Cagnacci
- Roger A. Powell
- L. Boitani
Citations in the corpus
- Global positioning system and associated technologies in animal behaviour and ecological research (2010, background): “Commercial users have since enjoyed typical horizontal position errors of less than 30 m (D’Eon et al. 2002; Frair et al. 2010).”
- Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology (2010, methodology): “Certainly, animal- and habitat-induced bias remains, but methods to address these remaining issues are increasing (see Frair et al. 2010).”
- The success of GPS collar deployments on mammals in Australia (2013, background): “This is mainly due to canopy cover, topography, collar orientation, fix interval and collar brand (Frair et al. 2010).”
- Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges (2010, methodology): “Frair et al. (2010) provide a comprehensive synthesis of predominant causes of errors, their implications for ecological analyses and tools for correcting analyses.”
- Evolutionary predictors of mammalian home range size: body mass, diet and the environment (2014, methodology): “GPS, satellite and radiotelemetry), analysis methodologies (kernels and polygons) and environments (terrestrial and marine) (Börger et al., 2006; Frair et al., 2010), yet published studies differ in the methods used, meaning that our final database included mixed home range values by necessity.”
- Correlation and studies of habitat selection: problem, red herring or opportunity? (2010, background): “Moreover, GPS-based locations themselves may be habitat-biased owing to canopy or terrain interference with satellite signals (Frair et al. 2010).”
- Statistical inference for home range overlap (2018, background): “There is broad agreement in the literature that HR estimates based on different sampling strategies are difficult to compare, as they may be exposed to different degrees of bias (Fieberg & Börger, 2012; Fleming et al., 2018; Frair et al., 2010).”