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Modelling landscape effects on density–contact rate relationships of deer in eastern Alberta: Implications for chronic wasting disease

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  • Habib, Thomas J.
  • Merrill, Evelyn H.
  • Pybus, M.J.
  • Coltman, David W.

Abstract

Managing wildlife diseases requires an understanding of disease transmission, which may be strongly affected by host population density and landscape features. Transmission models are typically fit from time-series disease prevalence data and modelled based on how the contact rate among hosts is affected by density, which is often assumed to be a linear (density-dependent transmission) or constant (frequency-dependent transmission) relationship. However, long-term time-series data is unavailable for emerging diseases, and this approach cannot account for independent effects of landscape. We developed a mechanistic model based on ecological data to empirically derive the contact rate–density relationship in white-tailed and mule deer in an enzootic region of chronic wasting disease (CWD) in Alberta, Canada and to determine whether it was affected by landscape. Using data collected from aerial surveys and GPS-telemetry, we developed empirical relationships predicting deer group size, home range size, and habitat selection to iteratively simulate deer distributions across a range of densities and landscapes. We calculated a relative measure of total per-capita contact rate, which is proportional to the number of other deer contacted per individual per unit time, for each distribution as the sum of pairwise contact rates between a target deer and all other individuals. Each pairwise contact rate was estimated from an empirical relationship developed from GPS-telemetry data predicting pairwise contact rates as a function of home range overlap and landscape structure. Total per-capita contact rates increased as a saturating function of density, supporting a transmission model intermediate between density- and frequency-dependent transmission. This pattern resulted from group sizes that reached an asymptote with increasing deer density, although this relationship was mediated by tree and shrub coverage in the landscape, such that in heavily wooded areas, the contact rate saturated at much lower densities. These results suggest that CWD management based on herd reductions, which require a density-dependent contact rate to be effective, may have variable effects on disease across a single management region. The novel mechanistic approach we employed for estimating effects of density and landscape on transmission is a powerful complement to typical data-fitting approaches for modelling disease transmission.

Suggested Citation

  • Habib, Thomas J. & Merrill, Evelyn H. & Pybus, M.J. & Coltman, David W., 2011. "Modelling landscape effects on density–contact rate relationships of deer in eastern Alberta: Implications for chronic wasting disease," Ecological Modelling, Elsevier, vol. 222(15), pages 2722-2732.
  • Handle: RePEc:eee:ecomod:v:222:y:2011:i:15:p:2722-2732
    DOI: 10.1016/j.ecolmodel.2011.05.007
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    References listed on IDEAS

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    1. Gültekin Tamgüney & Michael W. Miller & Lisa L. Wolfe & Tracey M. Sirochman & David V. Glidden & Christina Palmer & Azucena Lemus & Stephen J. DeArmond & Stanley B. Prusiner, 2009. "Asymptomatic deer excrete infectious prions in faeces," Nature, Nature, vol. 461(7263), pages 529-532, September.
    2. Michael W. Miller & Elizabeth S. Williams, 2003. "Horizontal prion transmission in mule deer," Nature, Nature, vol. 425(6953), pages 35-36, September.
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    Cited by:

    1. Jelena Vukomanovic & Barron J. Orr, 2014. "Landscape Aesthetics and the Scenic Drivers of Amenity Migration in the New West: Naturalness, Visual Scale, and Complexity," Land, MDPI, vol. 3(2), pages 1-24, April.
    2. Tardy, Olivia & Massé, Ariane & Pelletier, Fanie & Fortin, Daniel, 2018. "Interplay between contact risk, conspecific density, and landscape connectivity: An individual-based modeling framework," Ecological Modelling, Elsevier, vol. 373(C), pages 25-38.
    3. Jonathan D. Cook & Elias Rosenblatt & Graziella V. Direnzo & Evan H. Campbell Grant & Brittany A. Mosher & Fernando Arce & Sonja A. Christensen & Ria R. Ghai & Michael C. Runge, 2024. "One Health collaboration is more effective than single-sector actions at mitigating SARS-CoV-2 in deer," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    4. Potapov, Alex & Merrill, Evelyn & Pybus, Margo & Coltman, David & Lewis, Mark A., 2013. "Chronic wasting disease: Possible transmission mechanisms in deer," Ecological Modelling, Elsevier, vol. 250(C), pages 244-257.

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