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Estimating Ixodes ricinus densities on the landscape scale

Boehnke, D. ORCID iD icon 1; Brugger, K.; Pfäffle, M. 2; Sebastian, P.; Norra, S. 1,3; Petney, T. 2; Oehme, R.; Littwin, N. 2; Lebl, K.; Raith, J.; Walter, M.; Gebhardt, R. 1; Rubel, F.
1 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)
2 Zoologisches Institut (ZOO), Karlsruher Institut für Technologie (KIT)
3 Institut für Angewandte Geowissenschaften (AGW), Karlsruher Institut für Technologie (KIT)


Background: The study describes the estimation of the spatial distribution of questing nymphal tick densities by investigating Ixodes ricinus in Southwest Germany as an example. The production of high-resolution maps of questing tick densities is an important key to quantify the risk of tick-borne diseases. Previous I. ricinus maps were based on quantitative as well as semi-quantitative categorisations of the tick density observed at study sites with different vegetation types or indices, all compiled on local scales. Here, a quantitative approach on the landscape scale is introduced.
Methods: During 2 years, 2013 and 2014, host-seeking ticks were collected each month at 25 sampling sites by flagging an area of 100 square meters. All tick stages were identified to species level to select nymphal ticks of I. ricinus, which were used to develop and calibrate Poisson regression models. The environmental variables height above sea level, temperature, relative humidity, saturation deficit and land cover classification were used as explanatory variables.
Results: The number of flagged nymphal tick densities range from zero (mountain site) to more than 1,000 nymphs/100 m$^{2}$. ... mehr

Volltext §
DOI: 10.5445/IR/1000049446
DOI: 10.1186/s12942-015-0015-7
Zitationen: 34
Web of Science
Zitationen: 35
Zitationen: 36
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Geowissenschaften (AGW)
Institut für Geographie und Geoökologie (IFGG)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2015
Sprache Englisch
Identifikator ISSN: 1476-072X
KITopen-ID: 1000049446
Erschienen in International journal of health geographics
Verlag Springer Fachmedien Wiesbaden
Band 14
Heft 1
Seiten 23 S.
Schlagwörter Ixodid ticks, Generalized linear model, Population density, Climate, Land cover classification
Nachgewiesen in Dimensions
Web of Science
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