Association of environmental traits with the geographic ranges of ticks (Acari: Ixodidae) of medical and veterinary importance in the western Palearctic. A digital data set

Authors

A. Estrada-Peña, Miguel Servet
Robert Farkas, Szent Istvan University
Thomas G.T. Jaenson, Uppsala University
Frank Koenen, CODA-CERVA
Maxime Madder, Institute of Tropical Medicine, University of Pretoria
Ilaria Pascucci, Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise ‘‘G.Caporale’’,
Mo Salman, Colorado State University
Jordi Tarrés-Call, European Food Safety Administration
Frans Jongejan, University of Pretoria, Utrecht University

Document Type

Article

Date of this Version

7-28-2012

Citation

Exp Appl Acarol (2013) 59:351–366 DOI 10.1007/s10493-012-9600-7

Comments

Open access.

Abstract

We compiled information on the distribution of ticks in the western Palearctic (11^oW, 45^oE; 29^oN, 71^oN), published during 1970–2010. The literature search was filtered by the tick’s species name and an unambiguous reference to the point of capture. Records from some curated collections were included. We focused on tick species of importance to human and animal health, in particular: Ixodes ricinus, Dermacentor marginatus, D. reticulatus, Haemaphysalis punctata, H. sulcata, Hyalomma marginatum, Hy. lusitanicum, Rhipicephalus annulatus, R. bursa, and the R. sanguineus group. A few records of other species (I. canisuga, I. hexagonus, Hy. impeltatum, Hy. anatolicum, Hy. excavatum, Hy. scupense) were also included. A total of 10,280 records was included in the data set. Almost 42 % of published references are not adequately referenced (and not included in the data set), host is reported for only 61 % of records and a reference to time of collection is missed for 84 % of published records. Ixodes ricinus accounted for 44.3 % of total records, with H. marginatum and D. marginatus accounting for 7.1 and 8.1 % of records, respectively. The lack of homogeneity of the references and potential pitfalls in the compilation were addressed to create a digital data set of the records of the ticks. We attached to every record a coherent set of quantitative descriptors for the site of reporting, namely gridded interpolated monthly climate and remotely sensed data on vegetation (NDVI). We also attached categorical descriptors of the habitat: a standard classification of land biomes and an ad hoc classification of the target territory from remotely sensed temperature and NDVI data. A descriptive analysis of the data revealed that a principal components reduction of the environmental (temperature and NDVI) variables described the distribution of the species in the target territory. However, categorical descriptors of the habitat were less effective. We stressed the importance of building reliable collections of ticks with specific references as to collection point, host and date of capture. The data set is freely downloadable.