Publications by authors named "Corey I Mitchell"

Article Synopsis
  • Chronic wasting disease (CWD) is spreading in wild cervids, harming wildlife conservation, draining resources, and complicating management strategies.
  • Researchers developed a regional model to predict CWD incidence using surveillance data from 16 states and found that the Light Boosting Gradient model was the most accurate.
  • The new predictive model can help improve surveillance efforts by identifying areas for targeted monitoring, but discrepancies with actual surveillance data highlight the need for a multi-faceted approach by wildlife professionals.
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Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy that was first detected in captive cervids in Colorado, United States (US) in 1967, but has since spread into free-ranging white-tailed deer (Odocoileus virginianus) across the US and Canada as well as to Scandinavia and South Korea. In some areas, the disease is considered endemic in wild deer populations, and governmental wildlife agencies have employed epidemiological models to understand long-term environmental risk. However, continued rapid spread of CWD into new regions of the continent has underscored the need for extension of these models into broader tools applicable for wide use by wildlife agencies.

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Background: Preserving corridors for movement and gene flow among populations can assist in the recovery of threatened and endangered species. As human activity continues to fragment habitats, characterizing natural corridors is important in establishing and maintaining connectivity corridors within the anthropogenic development matrix. The Mojave desert tortoise () is a threatened species occupying a variety of habitats in the Mojave and Colorado Deserts.

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