Data from: Landscape connectivity predicts chronic wasting disease risk in Canada

Barry R. Nobert, Evelyn H. Merrill, Margo J. Pybus, Trent K. Bollinger & Yeen Ten Hwang
Predicting the spatial pattern of disease risk in wild animal populations is important for implementing effective control programmes. We developed a risk model predicting the probability that a deer harvested in a wild population was chronic wasting disease positive (CWD+) and evaluated the importance of landscape connectivity based on deer movements. We quantified landscape connectivity from deer ‘resistance’ to move across the landscape similar to the flow of electrical current across a hypothetical electronic circuit....

Registration Year

  • 2016
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Resource Types

  • Dataset
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Affiliations

  • Government of Alberta
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  • University of Saskatchewan
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  • University of Alberta
    1
  • Ministry of Environment
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