ArticleExperimental & applied acarology2016
Forest classes and tree cover gradient: tick habitat in encroached areas of southern Norway.
Article in Experimental & applied acarology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Assessing tick attachments to humans with citizen science data: spatio-temporal mapping in Switzerland from 2015 to 2021 using spatialMaxent.Parasites & vectors · 2025Article
- The influence of local environmental factors in southwestern Poland on the abundance of Ixodes ricinus and prevalence of infection with Borrelia burgdorferi s.l. and B. miyamotoi.Parasitology research · 2022Article
- The Isolation of Culturable Bacteria inInternational journal of environmental research and public health · 2021Article
- Predicting disease risk areas through co-production of spatial models: The example of Kyasanur Forest Disease in India's forest landscapes.PLoS neglected tropical diseases · 2020Article
- Identifying Environmental Risk Factors for Louping Ill Virus Seroprevalence in Sheep and the Potential to Inform Wildlife Management Policy.Frontiers in veterinary science · 2020Article
- Electromagnetic radiation and behavioural response of ticks: an experimental test.Experimental & applied acarology · 2018Article
- Article
- Trends in tick population dynamics and pathogen transmission in emerging tick-borne pathogens in Europe: an introduction.Experimental & applied acarology · 2016Article
- Individual and environmental factors associated with the seroprevalence ofInfection ecology & epidemiology · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Forest, in particular deciduous forest, is a key element in determining areas with a high probability of tick presence. The way forest is generally monitored may be ill suited to some landscapes where Ixodes ricinus is found, as forest is usually characterised using crisp land cover classes. However, tree vegetation can be found outside of forests and continuous gradations of tree density can be found in a variety of landscapes. In this paper we investigate the probability of tick presence in southern Norway using landscape description based both on land cover classes and continuous data describing the tree cover fraction. Both perspectives on the landscape are significant in the logistic model, indicating that the usual approach based solely on land cover classes may not be comprehensive enough in capturing tick habitat, and characterising the landscape with variables focused on single specific elements may be insufficient.
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Registered trials
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