Data from: Decision making for mitigating wildlife diseases: from theory to practice for an emerging fungal pathogen of amphibians

Stefano Canessa, Claudio Bozzuto, Evan H. Campbell Grant, Sam S. Cruickshank, Matthew C. Fisher, Jacob C. Koella, Stefan Lötters, An Martel, Frank Pasmans, Benjamin C. Scheele, Annemarieke Spitzen-Van Der Sluijs, Sebastian Steinfartz, Benedikt R. Schmidt & Ben C. Scheele
1.Conservation science can be most effective in its decision-support role when seeking answers to clearly formulated questions of direct management relevance. Emerging wildlife diseases, a driver of global biodiversity loss, illustrate the challenges of performing this role: in spite of considerable research, successful disease mitigation is uncommon. Decision analysis is increasingly advocated to guide mitigation planning, but its application remains rare. 2.Using an integral projection model, we explored potential mitigation actions for avoiding population declines...

Registration Year

  • 2017
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Resource Types

  • Dataset
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Affiliations

  • Ghent University
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  • University of Neuchâtel
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  • Australian National University
    1
  • University of Zurich
    1
  • St Mary's Hospital
    1
  • United States Geological Survey
    1
  • Zoological Institute
    1