Philosophical Transactions of the Royal Society B Biological Sciences · 2010 · 787 citations · 42 references
Life SciencesEcologyZoologyAnimal BehaviorBehavioral EcologyPopulation EcologyAnimal EcologyDispersal EcologyMovement EcologyWildlife-habitat RelationshipsAnimal Behaviour MonitoringAnimal Movement MonitoringAnimal Movement TrackingHome Range EcologyRadio Telemetry MonitoringTelemetry TrackingTelemetry-based Movement AnalysisTelemetry-based Movement Ecology
GPS telemetry provides extensive movement data even for cryptic species, enabling detailed mapping of animal paths and ecosystem interactions, and its integration with animal ecology offers both new research opportunities and technical challenges. The authors aim to demonstrate that spatial movement data can advance mechanistic insights into resource use, home range, dispersal, and population dynamics. Future intensive movement sampling combined with detailed habitat information will allow modeling of animals’ cognitive maps and link behavior to fitness, while long‑term, large‑scale data will support robust inferences on complex issues such as climate change impacts on behavior and distribution.
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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Extinction risk from climate change
Chris D. Thomas, A. Cameron, Rhys E. Green et al. · Nature · 2004 · 7.7K citations · Full text
Biotelemetry: a mechanistic approach to ecology
Steven J. Cooke, Martin Wikelski, Russel D. Andrews et al. · Trends in Ecology & Evolution · 2004 · 826 citations · Full text
EXTRACTING MORE OUT OF RELOCATION DATA: BUILDING MOVEMENT MODELS AS MIXTURES OF RANDOM WALKS
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Life Sciences, Ecology, Zoology +17
Biotelemetry: a mechanistic approach to ecology
Steven J. Cooke · Trends in Ecology & Evolution · 2004 · 671 citations