Literature DB >> 26611958

Simulation of climate-tick-host-landscape interactions: Effects of shifts in the seasonality of host population fluctuations on tick densities.

Hsiao-Hsuan Wang1, W E Grant2, P D Teel3, S A Hamer4.   

Abstract

Tick vector systems are comprised of complex climate-tick-host-landscape interactions that are difficult to identify and estimate from empirical observations alone. We developed a spatially-explicit, individual-based model, parameterized to represent ecological conditions typical of the south-central United States, to examine effects of shifts in the seasonal occurrence of fluctuations of host densities on tick densities. Simulated shifts in the seasonal occurrence of periods of high and low host densities affected both the magnitude of unfed tick densities and the seasonality of tick development. When shifting the seasonal densities of all size classes of hosts (small, medium, and large) synchronously, densities of nymphs were affected more by smaller shifts away from the baseline host seasonality than were densities of larval and adult life stages. When shifting the seasonal densities of only a single size-class of hosts while holding other size classes at their baseline levels, densities of larval, nymph, and adult life stages responded differently. Shifting seasonal densities of any single host-class earlier resulted in a greater increase in adult tick density than when seasonal densities of all host classes were shifted earlier simultaneously. The mean densities of tick life stages associated with shifts in host densities resulted from system-level interactions of host availability with tick phenology. For example, shifting the seasonality of all hosts ten weeks earlier resulted in an approximately 30% increase in the relative degree of temporal co-occurrence of actively host-seeking ticks and hosts compared to baseline, whereas shifting the seasonality of all hosts ten weeks later resulted in an approximately 70% decrease compared to baseline. Differences among scenarios in the overall presence of active host-seeking ticks in the system were due primarily to the degree of co-occurrence of periods of high densities of unfed ticks and periods of high densities of hosts.
© 2015 The Society for Vector Ecology.

Keywords:  Amblyomma americanum; individual/agent-based model; lone star tick; population dynamics; spatial-temporal dynamics; stage-structured model

Mesh:

Year:  2015        PMID: 26611958     DOI: 10.1111/jvec.12161

Source DB:  PubMed          Journal:  J Vector Ecol        ISSN: 1081-1710            Impact factor:   1.671


  4 in total

1.  Effects of white-tailed deer habitat use preferences on southern cattle fever tick eradication: simulating impact on "pasture vacation" strategies.

Authors:  M Sofia Agudelo; William E Grant; Hsiao-Hsuan Wang
Journal:  Parasit Vectors       Date:  2021-02-08       Impact factor: 3.876

2.  Simulated dynamics of southern cattle fever ticks (Rhipicephalus (Boophilus) microplus) in south Texas, USA: investigating potential wildlife-mediated impacts on eradication efforts.

Authors:  Hsiao-Hsuan Wang; William E Grant; Pete D Teel; Kimberly H Lohmeyer; Adalberto A Pérez de León
Journal:  Parasit Vectors       Date:  2021-05-01       Impact factor: 3.876

3.  Transmission patterns of tick-borne pathogens among birds and rodents in a forested park in southeastern Canada.

Authors:  Ariane Dumas; Catherine Bouchard; Antonia Dibernardo; Pierre Drapeau; L Robbin Lindsay; Nicholas H Ogden; Patrick A Leighton
Journal:  PLoS One       Date:  2022-04-07       Impact factor: 3.240

4.  Enhanced biosurveillance of high-consequence invasive pests: southern cattle fever ticks, Rhipicephalus (Boophilus) microplus, on livestock and wildlife.

Authors:  Hsiao-Hsuan Wang; William E Grant; Pete D Teel; Kimberly H Lohmeyer; Adalberto A Pérez de León
Journal:  Parasit Vectors       Date:  2020-09-23       Impact factor: 3.876

  4 in total

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