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    Spatial And Temporal Heterogeneity Explain Disease Dynamics In A Spatially Explicit Network Model

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    SpatialTemporalHeterogeneity.pdf (651.9Kb)
    Date
    2008-08
    Author
    Brooks, Christopher P.
    Antonovics, Janis
    Keitt, Timothy H.
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    Abstract
    There is an increasing recognition that individual-level spatial and temporal heterogeneity may play an important role in metapopulation dynamics and persistence. In particular, the patterns of contact within and between aggregates (e. g., demes) at different spatial and temporal scales may reveal important mechanisms governing metapopulation dynamics. Using 7 years of data on the interaction between the anther smut fungus (Microbotryum violaceum) and fire pink (Silene virginica), we show how the application of spatially explicit and implicit network models can be used to make accurate predictions of infection dynamics in spatially structured populations. Explicit consideration of both spatial and temporal organization reveals the role of each in spreading risk for both the host and the pathogen. This work suggests that the application of spatially explicit network models can yield important insights into how heterogeneous structure can promote the persistence of species in natural landscapes.
    Department
    Integrative Biology
    Subject
    network epidemiology
    disease ecology
    biocomplexity
    microbotryum
    violaceum
    silene virginica
    anther-smut infection
    silene-alba
    landscape connectivity
    ustilago-violacea
    metapopulation capacity
    spore deposition
    mouth
    epidemic
    patterns
    dispersal
    hummingbirds
    ecology
    evolutionary biology
    URI
    http://hdl.handle.net/2152/31140
    Citation
    Christopher P. Brooks, Janis Antonovics, Timothy H. Keitt. Spatial And Temporal Heterogeneity Explain Disease Dynamics In A Spatially Explicit Network Model. The American Naturalist, Vol. 172, No. 2 (Aug., 2008), pp. 149-159. DOI: 10.1086/589451
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    • facebook
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    • CONTACT US
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    • Adobe Reader
    Subscribe to our NewsletterGive to the Libraries

    © The University of Texas at Austin