Authors: James Anderson*, Center for Spatial Analysis at the University of Oklahoma, Rebecca Loraamm, University of Oklahoma
Topics: Animal Geographies, Temporal GIS, Spatial Analysis & Modeling
Keywords: Red Deer, Road Ecology, Time Geography, Computational Movement Analysis
Session Type: Paper
Presentation File: No File Uploaded
Developments in Time Geography have expanded the study of animal movement and interactivity towards an examination of environmental context as an influence on animal movement behaviors. Specifically, the probabilistic estimation of animal position at temporal intervals between those observed (via GPS, radio telemetry, etc.) has enabled researchers to quantify animals’ interaction with their context at temporal scales finer than previously possible. Applications for these methods include quantification of wildlife-road interactions, although these studies do not currently incorporate traffic conditions in their formulations. This paper applies and extends methods from Time Geography, including the probabilistic space-time prism (PSTP) and the comprehensive probability surface (CPS) towards an analysis identifying cross-correlation between hourly patterns of animal-roadway interaction and traffic volumes for Red Deer (Cervus elaphus) in Banff National Park, Alberta, Canada. This approach represents further development on quantifying wildlife-road interactions, where hourly traffic volumes are treated as a dynamic element of the environment influencing animals’ use of roadside habitat. Implications for wildlife management are discussed.
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