Publication

Null expectations for disease dynamics in shrinking habitat: Dilution or amplification?

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Last modified
  • 05/15/2025
Type of Material
Authors
    Christina L. Faust, Princeton UniversityAndrew P. Dobson, Princeton UniversityNicole Gottdenker, The University of GeorgiaLaura S.P. Bloomfield, Stanford UniversityHamish I. McCallum, Griffith UniversityThomas R. Gillespie, Emory UniversityMaria Diuk-Wasser, Columbia University in the City of New YorkRaina K. Plowright, Montana State University
Language
  • English
Date
  • 2017-06-05
Publisher
  • Royal Society, The
Publication Version
Copyright Statement
  • © 2017 The Author(s) Published by the Royal Society. All rights reserved.
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0962-8436
Volume
  • 372
Issue
  • 1722
Start Page
  • 20160173
End Page
  • 20160173
Grant/Funding Information
  • R.K.P. was supported by National Institutes of Health IDeA Program grants P20GM103474 and P30GM110732, P. Thye and Montana University System Research Initiative: 51040-MUSRI2015-03.
  • This work was supported by the National Socio-Environmental Synthesis Center (SESYNC) and the National Center for Ecological Analysis and Synthesis (NCEAS) under funding received from the National Science Foundation DBI-1052875 and DEB-94–21535, respectively.
  • M.D.-W. was supported by the National Institutes of Health, Ecology and Evolution of Infectious Disease Program (5R01GM105246).
  • C.L.F. was funded by the National Defence Science and Engineering Graduate Fellowship and the Truman Foundation.
Supplemental Material (URL)
Abstract
  • As biodiversity declines with anthropogenic land-use change, it is increasingly important to understand how changing biodiversity affects infectious disease risk. The dilution effect hypothesis, which points to decreases in biodiversity as critical to an increase in infection risk, has received considerable attention due to the allure of a win–win scenario for conservation and human well-being. Yet some empirical data suggest that the dilution effect is not a generalizable phenomenon.We explore the response of pathogen transmission dynamics to changes in biodiversity that are driven by habitat loss using an allometrically scaled multi-host model.With this model, we show that declining habitat, and thus declining biodiversity, can lead to either increasing or decreasing infectious-disease risk, measured as endemic prevalence. Whether larger habitats, and thus greater biodiversity, lead to a decrease (dilution effect) or increase (amplification effect) in infection prevalence depends upon the pathogen transmission mode and how host competence scales with body size. Dilution effects were detected for most frequency-transmitted pathogens and amplification effects were detected for density-dependent pathogens. Amplification effects were also observed over a particular range of habitat loss in frequency-dependent pathogens when we assumed that host competence was greatest in large-bodied species. By contrast, only amplification effects were observed for density-dependent pathogens; host competency only affected the magnitude of the effect. These models can be used to guide future empirical studies of biodiversity–disease relationships across gradients of habitat loss. The type of transmission, the relationship between host competence and community assembly, the identity of hosts contributing to transmission, and how transmission scales with area are essential factors to consider when elucidating the mechanisms driving disease risk in shrinking habitat.
Author Notes
Keywords
Research Categories
  • Biology, Ecology
  • Biology, Microbiology
  • Health Sciences, Public Health

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