Using Stochastic Epidemiological Models to Evaluate Conservation Strategies for Endangered Amphibians

Abstract

Recent outbreaks of chytridiomycosis, the disease of amphibians caused by the fungal pathogen Batrachochytrium dendrobatidis (Bd), have contributed to population declines of numerous amphibian species worldwide. The devastating impacts of this disease have led researchers to attempt drastic conservation measures to prevent further extinctions and loss of biodiversity. The conservation measures can be labour-intensive or expensive, and in many cases have been unsuccessful. We developed a mathematical model of Bd outbreaks that includes the effects of demographic stochasticity and within-host fungal load dynamics. We investigated the impacts of one time treatment conservation strategies during the disease outbreak that occurs following the initial arrival of Bd into a previously uninfected frog population. We found that for all versions of the model, for a large fraction of parameter space, none of the one-time treatment strategies are effective at preventing disease-induced extinction of the amphibian population. Of the strategies considered, treating frogs with antifungal agents to reduce their fungal load had the greatest likelihood of a beneficial outcome and the lowest risk of decreasing the persistence of the frog population, suggesting that this disease mitigation strategy should be prioritized over disinfecting the environment or reducing host density.

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Document Details

Document Type
Technical Report
Publication Date
Aug 30, 2017
Accession Number
AD1082544

Entities

People

  • Brian Drawert
  • Cheryl J. Briggs
  • Linda Petzold
  • Marc Griesemer

Organizations

  • University of North Carolina at Asheville

Tags

DTIC Thesaurus Topics

  • Anti-Bacterial Agents
  • Antifungal Agents
  • Bacteria
  • Birds
  • Cells
  • Computer Programs
  • Computer Science
  • Disease Outbreaks
  • Environment
  • Fungi
  • Habitats
  • Infection
  • Infectious Diseases
  • Mathematical Models
  • North America
  • Simulations
  • Wildlife

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Infectious Disease/Epidemiology
  • Wetland-Land-Environmental Management.

Technology Areas

  • Space