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ZENODO
Dataset . 2017
License: CC 0
Data sources: ZENODO
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Research@WUR
Dataset . 2017
Data sources: Research@WUR
DRYAD
Dataset . 2017
License: CC 0
Data sources: Datacite
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Data from: Cascading effects of predator activity on tick-borne disease risk

Authors: Hofmeester, Tim R.; Jansen, Patrick A.; Wijnen, Hendrikus J.; Coipan, Elena C.; Fonville, Manoj; Prins, Herbert H.T.; Sprong, Hein; +3 Authors

Data from: Cascading effects of predator activity on tick-borne disease risk

Abstract

Predators and competitors of vertebrates can in theory reduce the density of infected nymphs (DIN)—an often-used measure of tick-borne disease risk—by lowering the density of reservoir-competent hosts and/or the tick burden on reservoir-competent hosts. We investigated this possible indirect effect of predators by comparing data from 20 forest plots across the Netherlands that varied in predator abundance. In each plot, we measured the density of questing Ixodes ricinus nymphs (DON), DIN for three pathogens, rodent density, the tick burden on rodents and the activity of mammalian predators. We analysed whether rodent density and tick burden on rodents were correlated with predator activity, and how rodent density and tick burden predicted DON and DIN for the three pathogens. We found that larval burden on two rodent species decreased with activity of two predator species, while DON and DIN for all three pathogens increased with larval burden on rodents, as predicted. Path analyses supported an indirect negative correlation of activity of both predator species with DON and DIN. Our results suggest that predators can indeed lower the number of ticks feeding on reservoir-competent hosts, which implies that changes in predator abundance may have cascading effects on tick-borne disease risk.

Cascading effects of predator activity on tick-borne disease risk: DatasetAll data used in the analyses of the manuscript entitled: Cascading effects of predator activity on tick-borne disease riskDataset.xlsx

Country
Netherlands
Keywords

carnivores, predators, Candidatus Neoehrlichia mikurensis, Apodemus sylvaticus, Martes martes, Ixodes ricinus, Rodents, Martes foina, Borrelia miyamotoi, Predators, Borrelia burgdorferi, rodents, Myodes glareolus, Borrelia afzelii, Mustela putorius, Borrelia burgdorferi s.l.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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