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Predator-prey space-use and landscape features influence movement behaviors in a large-mammal community

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DataONE2025-03-11 更新2025-04-26 收录
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Predator hunting strategies, such as stalking versus coursing behaviors, are hypothesized to influence antipredator behaviors of prey and can describe the movement behaviors of predators themselves. Predators and prey may alter their movement in relation to predator hunting modes, yet few studies have evaluated how these strategies influence movement behaviors of free-ranging animals in a multiple-predator, multiple-prey system. We fit hidden Markov models (HMM) with movement data derived from >400 GPS-collared ungulates and large predators in eastern Washington, USA. We used these models to test our hypotheses that stalking (cougars [Puma concolor]) and coursing (gray wolves [Canis lupus]) predators would exhibit different broad-scale movement behaviors consistent with their respective hunting strategies in areas that increased the likelihood of encountering or capturing ungulate prey (e.g., habitats selected by deer [Odocoileus spp.]). Similarly, we expected that broad-scale moveme..., Telemetry relocation data were collected using Global Positioning System (GPS) radio collars (make and model varied by species) affixed to >400 individual animals, including adult female elk, mule deer, and white-tailed deer, and adult female and male cougars and wolves in two study areas in eastern Washington, USA, 2017 - 2021. Location data were used to generate resoure selection functions (RSFs), which were then used to predict the relative probability of selection of each species across each study area. Location data were further used to estimate the effects of predation risk (represented by the RSFs) and landscape features associated with predator hunting mode on animal movement using hidden Markov models (HMMs). Additional capture and handling information, as well as descriptions of data cleaning and analyses, are described in detail in text (Bassing et al. in review)., All analyses were conducted in program R., # Data from: Predator-prey space-use and landscape features influence movement behaviors in a large-mammal community [https://doi.org/10.5061/dryad.kh1893292](https://doi.org/10.5061/dryad.kh1893292) **Recommended citation for this dataset:** Bassing, S. B., L. Satterfield, T. R. Ganz, M. DeVivo, B. N. Kertson, T. Roussin, A. J. Wirsing, and B. Gardner. 2024. Data for: Predator-prey interactions and landscape features influence movement behaviors in a large-mammal community. Dryad, Dataset. [https://doi.org/10.5061/dryad.kh1893292](https://doi.org/10.5061/dryad.kh1893292) ## Description of the data and file structure This repository contains movement data from collected from GPS-collared elk, mule deer, white-tailed deer, cougars, and wolves in eastern Washington, USA, from 2017 - 2021. The provided data are formatted for conducting resource selection function (RSF) analyses and hidden Markov models (HMM) for movement analysis. Formatted data are provided for several stages of the ...,
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2025-03-13
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