Simulated interactions of white-tailed deer (Odocoileus virginianus), climate variation and habitat heterogeneity on southern cattle tick (Rhipicephalus (Boophilus) microplus) eradication methods in south Texas, USA

Wang, Hsiao‐Hsuan; Teel, Pete D.; Grant, William E.; Schuster, Greta; León, Adalberto A. Pérez de

doi:10.1016/j.ecolmodel.2016.10.001

Cited by 26 publications

(57 citation statements)

References 43 publications

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“…We identified 8/168 studies that explicitly incorporated climactic factors, all of them published in 2010 or later (Table S3). Most of these studies are centred on environmental factors affecting the vector lifecycle and reproduction, primarily for ticks (Estrada‐Peña, Carreón, Almazán, & De La Fuente, ; Li et al., ; Wang, Grant, & Teel, ; Wang, Grant, Teel, & Hamer, ; Wang, Teel, Grant, Schuster, & Pérez de León, ) and fleas (Laperrière et al., ). Spatial models could also play an important role in parsing out spatial and temporal autocorrelation as a function of seasonality (e.g., Duke‐Sylvester, Bolzoni, & Real, ).…”

Section: Future Directions: Addressing Global Challengesmentioning

confidence: 99%

Dynamic, spatial models of parasite transmission in wildlife: Their structure, applications and remaining challenges

White

Forester

Craft

2017

Journal of Animal Ecology

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Individual differences in contact rate can arise from host, group and landscape heterogeneity and can result in different patterns of spatial spread for diseases in wildlife populations with concomitant implications for disease control in wildlife of conservation concern, livestock and humans. While dynamic disease models can provide a better understanding of the drivers of spatial spread, the effects of landscape heterogeneity have only been modelled in a few well-studied wildlife systems such as rabies and bovine tuberculosis. Such spatial models tend to be either purely theoretical with intrinsic limiting assumptions or individual-based models that are often highly species- and system-specific, limiting the breadth of their utility. Our goal was to review studies that have utilized dynamic, spatial models to answer questions about pathogen transmission in wildlife and identify key gaps in the literature. We begin by providing an overview of the main types of dynamic, spatial models (e.g., metapopulation, network, lattice, cellular automata, individual-based and continuous-space) and their relation to each other. We investigate different types of ecological questions that these models have been used to explore: pathogen invasion dynamics and range expansion, spatial heterogeneity and pathogen persistence, the implications of management and intervention strategies and the role of evolution in host-pathogen dynamics. We reviewed 168 studies that consider pathogen transmission in free-ranging wildlife and classify them by the model type employed, the focal host-pathogen system, and their overall research themes and motivation. We observed a significant focus on mammalian hosts, a few well-studied or purely theoretical pathogen systems, and a lack of studies occurring at the wildlife-public health or wildlife-livestock interfaces. Finally, we discuss challenges and future directions in the context of unprecedented human-mediated environmental change. Spatial models may provide new insights into understanding, for example, how global warming and habitat disturbance contribute to disease maintenance and emergence. Moving forward, better integration of dynamic, spatial disease models with approaches from movement ecology, landscape genetics/genomics and ecoimmunology may provide new avenues for investigation and aid in the control of zoonotic and emerging infectious diseases.

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Section: Future Directions: Addressing Global Challengesmentioning

confidence: 99%

Dynamic, spatial models of parasite transmission in wildlife: Their structure, applications and remaining challenges

White

Forester

Craft

2017

Journal of Animal Ecology

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“…() predicted effects of white‐tailed deer vaccination on R. annulatus and R. microplus in northeastern Mexico, while Wang et al. () developed a spatially explicit, individual‐based, stochastic R. microplus model for south Texas rangelands.…”

Section: Chronology Of Rhipicephalus (Boophilus) Modelsmentioning

confidence: 99%

“…All models that represented ambient moisture explicitly did the same for temperature. Finally, some population dynamics models were driven by GIS-based climate or vegetation data (Estrada-Peña 2002, Wang et al 2016.…”

Section: Model Mathematical Structure and Outputmentioning

confidence: 99%

“…Indeed, Rhipicephalus australis in New Caledonia has adapted to parasitize Rusa deer (Cervus timorensis russa (de Blainville); Barr e et al 2011). In response, wildlife hosts are now explicitly represented in Rhipicephalus (Boophilus) models (e.g., Zeman and Lynen 2010, Phillips et al 2014, Wang et al 2016.…”

Section: Lessons From the Past And Perspectives For The Futurementioning

confidence: 99%

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Quantitative models of Rhipicephalus (Boophilus) ticks: historical review and synthesis

et al. 2017

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Abstract. Several tick species, in what is now known as the subgenus Boophilus in the genusRhipicephalus, are economically important ectoparasites of livestock and other ungulates; as vectors of pathogens that kill cattle, they remain among the most studied ticks in the world. Researchers have developed quantitative computer models of Rhipicephalus ticks since the early 1970s to study complex biological and ecological relationships that influence management or eradication of ticks and tick-borne diseases. We review the 45-yr history of Rhipicephalus (Boophilus) models, which were developed and applied first in Australia, 10 yr later in North and South America, then soon after in Africa. Models progressed from analytical models of a portion of tick life cycles, to simulation models of complete life cycles or ecoclimatic indices, to the current emphasis on GIS-based bioclimatic envelope models estimated from remotely sensed data and tick presence records. Earlier models were used primarily to predict effects of management techniques, such as use of sterile hybrid ticks, pasture rotation, acaricides, vaccines, and resistant cattle, while more recent models have been used to predict the potential for range expansion, especially due to global climate change and wildlife hosts, as well as in the face of competition with other tick species. We summarize characteristics of these models and compare those of population dynamics and bioclimatic envelope models. We discuss the past and present utility of these models and provide a perspective on future Rhipicephalus (Boophilus) modeling efforts.

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“…Yakob previously described a simulation model in which the success of systemic insecticide cattle treatment was dependent on two factors 1) the feeding behavior of the vector being targeted; and 2) the availability of alternative hosts [36]. Wang et al also developed simulation models to assess the vector suppression treatments on cattle and found that host composition and population fluctuations influenced the outcome of treatments [37][38][39][40]. P. argentipes has been described as a "chance feeder", feeding opportunistically on humans and cattle relative to host availability [10,12].…”

Section: Introductionmentioning

confidence: 99%

Visceral leishmaniasis on the Indian Subcontinent: Efficacy of fipronil-based cattle treatment in controlling sand fly populations is dependent on specific aspects of sand fly ecology

2020

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Background Visceral leishmaniasis (VL) is a deadly disease transmitted by the sand fly Phlebotomus argentipes on the Indian subcontinent, with a promising means of vector control being orally treating cattle with fipronil-based drugs. While prior research investigating the dynamic relationship between timing of fipronil-based control schemes and the seasonality of sand flies provides insights into potential of treatment on a large scale, ecological uncertainties remain. We investigated how uncertainties associated with sand fly ecology might affect our ability to assess efficacy of fipronil-based control schemes. To do this, we used a previously-described, individual-based, stochastic sand fly model to quantify how uncertainties associated with 1) the percentage of female sand flies taking blood meals from cattle, and 2) the percentage of female sand flies ovipositing in organic matter containing feces from treated cattle might impact the efficacy of fipronil-based sand fly control schemes. Principal findings Assuming no prior knowledge of sand fly blood meal and oviposition sites, the probabilities of achieving effective sand fly population reduction with treatments performed 3, 6 and 12 times per year were �5-22%, �27-36%, and �46-54%, respectively. Assuming �50% of sand flies feed on cattle, probabilities of achieving efficacious control increased to �8-31%, �15-42%, and �52-65%. Assuming also that �50% of sand flies oviposit in cattle feces, the above probabilities increased further to �14-53%, �31-81%, and �89-97%.

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Simulated interactions of white-tailed deer (Odocoileus virginianus), climate variation and habitat heterogeneity on southern cattle tick (Rhipicephalus (Boophilus) microplus) eradication methods in south Texas, USA

Cited by 26 publications

References 43 publications

Dynamic, spatial models of parasite transmission in wildlife: Their structure, applications and remaining challenges

Dynamic, spatial models of parasite transmission in wildlife: Their structure, applications and remaining challenges

Quantitative models of Rhipicephalus (Boophilus) ticks: historical review and synthesis

Visceral leishmaniasis on the Indian Subcontinent: Efficacy of fipronil-based cattle treatment in controlling sand fly populations is dependent on specific aspects of sand fly ecology

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