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Simulation of climate–host–parasite–landscape interactions: A spatially explicit model for ticks (Acari: Ixodidae)

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  • Wang, Hsiao-Hsuan
  • Grant, W.E.
  • Teel, P.D.

Abstract

Ticks (Ixodidae) are important vectors of pathogens that affect humans, and methods to reduce impacts of vector-borne pathogens usually involve tick control. Improving the efficacy of such methods requires an understanding of climate–host–parasite–landscape interactions which is difficult to obtain from empirical observations alone. We developed a spatially explicit, individual-/agent-based, stochastic model that can simulate the spatial-temporal dynamics of ticks in response to changes in climatic conditions, landscape structure, and host community composition. As a case study, we parameterized the model to represent the lone star tick (Amblyomma americanum (L.)) under ecological conditions typical of the south-central United States. We evaluated general model performance and examined model sensitivity to broad changes in climatic conditions, landscape structure, and host community composition, and then demonstrated application of the model by simulating the effect of a hypothetical greenbelt placed within a real landscape near Houston, Texas, USA on the exposure of humans to ticks.

Suggested Citation

  • Wang, Hsiao-Hsuan & Grant, W.E. & Teel, P.D., 2012. "Simulation of climate–host–parasite–landscape interactions: A spatially explicit model for ticks (Acari: Ixodidae)," Ecological Modelling, Elsevier, vol. 243(C), pages 42-62.
    • Handle: RePEc:eee:ecomod:v:243:y:2012:i:c:p:42-62
    DOI: 10.1016/j.ecolmodel.2012.06.007
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    References listed on IDEAS

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    1. Hoch, T. & Monnet, Y. & Agoulon, A., 2010. "Influence of host migration between woodland and pasture on the population dynamics of the tick Ixodes ricinus: A modelling approach," Ecological Modelling, Elsevier, vol. 221(15), pages 1798-1806.
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    Cited by:

    1. Halsey, Samniqueka J. & Miller, James R., 2018. "A spatial agent-based model of the disease vector Ixodes scapularis to explore host-tick associations," Ecological Modelling, Elsevier, vol. 387(C), pages 96-106.
    2. Wang, Hsiao-Hsuan & Grant, W.E. & Teel, P.D. & Hamer, S.A., 2016. "Tick-borne infectious agents in nature: Simulated effects of changes in host density on spatial-temporal prevalence of infected ticks," Ecological Modelling, Elsevier, vol. 323(C), pages 77-86.
    3. Li, Sen & Vanwambeke, Sophie O. & Licoppe, Alain M. & Speybroeck, Niko, 2014. "Impacts of deer management practices on the spatial dynamics of the tick Ixodes ricinus: A scenario analysis," Ecological Modelling, Elsevier, vol. 276(C), pages 1-13.
    4. Wang, Hsiao-Hsuan & Teel, Pete D. & Grant, William E. & Schuster, Greta & Pérez de León, A.A., 2016. "Simulated interactions of white-tailed deer (Odocoileus virginianus), climate variation and habitat heterogeneity on southern cattle tick (Rhipicephalus (Boophilus) microplus) eradication methods in s," Ecological Modelling, Elsevier, vol. 342(C), pages 82-96.

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    1. Li, Sen & Vanwambeke, Sophie O. & Licoppe, Alain M. & Speybroeck, Niko, 2014. "Impacts of deer management practices on the spatial dynamics of the tick Ixodes ricinus: A scenario analysis," Ecological Modelling, Elsevier, vol. 276(C), pages 1-13.
    2. Wang, Hsiao-Hsuan & Grant, W.E. & Teel, P.D. & Hamer, S.A., 2016. "Tick-borne infectious agents in nature: Simulated effects of changes in host density on spatial-temporal prevalence of infected ticks," Ecological Modelling, Elsevier, vol. 323(C), pages 77-86.

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