Tick species distribution changes according to climate, land use patterns and forest management [1]. Therefore, it is of particular interest to develop scenarios on future distributions of ticks and tick-borne diseases based on climate models and the available knowledge of tick ecology and physiology. Among other methods, species distribution models reconstructing the climatic niche were applied. They describe the potential distribution of a given species, which may be projected into the future by using climate model predictions. For example, the current and future distribution of Ixodes ricinus in Europe was investigated [2], using the geographical coordinates of I. ricinus locations from another study [3]. Beside model assumptions and selected climate parameters, the number of georeferenced tick locations available as a digital dataset is of fundamental importance for the reliability of modelling results. They comprise distributions of tick species as well as the distribution patterns of tick-borne diseases such as tick-borne encephalitis, Lyme borreliosis [4], babesiosis [5],[6], rickettsiosis [7] and others [8].

Digital datasets covering Europe were provided by Estrada-Peña et al. [3] and GBIF, the Global Biodiversity Information Facility [9]. Both datasets feature major data gaps especially for Germany. The same is true for Belgium, where a recently published study on the distribution of ixodid tick species [10] is not included in those two datasets so far. The provision of exact geographical coordinates of all the described locations of ticks and tick-borne pathogens should be standard in all modern papers. Georeferences may be included in digital datasets and used in subsequent studies, especially in those investigating the spatio-temporal distributions of ticks on a continental scale. For Germany, however, such comprehensive data as presented for Belgium [10] are missing so far. To reduce these shortcomings a literature study on georeferenced tick locations was performed. Results comprise of coordinates extracted from recent papers, extracted from restricted papers mainly published in German language, digitized from historical hand-drawn maps and added from unpublished material, i.e. kindly provided by colleagues.

Digitized locations, of course, are of lower accuracy than locations described by geographical coordinates determined by GPS in the field. Thus, accuracy measures were given for all data referenced in Table 1. It is distinguished between high (h), medium (m), low (l) and unknown (u) accuracy. A high accuracy (±30 m) was allocated to coordinates given in degrees, minutes and seconds or in decimal degrees with at least 4-5 relevant decimal places. A medium accuracy (±1 km) was assumed for coordinates given in degrees and minutes or in decimal degrees with at least 2-3 relevant decimal places. A medium accuracy was also assumed for ticks collected from animals (e.g. deer, dogs) or humans and for coordinates digitized from local maps. Coordinates digitized from regional maps were classified as low-accuracy data (±10 km).

Table 1 Number of georeferenced ixodid tick sampling sites in Germany compiled in this study


A total of 2,044 geographical coordinates for Ixodes, Dermacentor, Haemaphysalis and Hyalomma tick locations was included (Table 1) and depicted in a map (Figure 1). These coordinates include 1,855 I. ricinus locations, by far the most widespread and abundant ixodid tick species in Germany, occurring in the whole federal territory. A large number of georeferenced locations were taken from two already existing datasets. The first dataset, the free open access to biodiversity data collection of the Global Biodiversity Information Facility[9],[12], lists 217 I. ricinus locations. The second dataset [3] comprises 776 I. ricinus locations. These datasets complement one another very well. Duplicates (exact matches) within and between the datasets were eliminated. Further, 661 I. ricinus locations were added from recent tick monitoring projects, 79 locations were extracted from the literature and 122 locations were digitized from a hand-drawn map [22]. Finally, 8 locations of rare Ixodes species were included, among them the first record of I. frontalis in Germany [24]. The number of findings of rare Ixodes species is low because in most tick monitoring programs they were not explicitly determined.

Figure 1
figure 1

Map of georeferenced hard tick locations in Germany.

Two further at least regionally abundant tick species in Germany are Dermacentor marginatus and Dermacentor reticulatus. For D. marginatus, however, only two locations specified by geographical coordinates were provided [25]. Therefore, a historical hand-drawn map [26] was digitized to depict the well-known sources in the Rhine Valley. The latter is characterized by a warmer and dryer climate than usually found in Germany. It may be described as an extension of the Mediterranean climate to the north, a suitable habitat for the more thermophilic D. marginatus. The locations of D. marginatus were confirmed in 1990 by two of the authors, O. Kahl and H. Dautel, who found high numbers of D. marginatus in the region of Hammelburg (50.1° N, 9.9° O), unfortunately without documenting coordinates of the sampling sites. D. reticulatus, in Germany known as the marsh tick, was found in various habitats such as wastelands and meadows in many parts of Germany, except for most parts of northern Germany. It is particularly widespread and common in the federal states of Brandenburg and Berlin [7],[25]. Further locations cluster in the Rhine Valley [25] and in the Saarland [28].

Additionally, 8 georeferenced locations of the relict tick Haemaphysalis concinna and 1 location of Hyalomma marginatum, the first report of an adult individual of that species in Germany [31], were included in the data collection. Further ixodid tick species listed for the fauna of Germany comprise Ixodes arboricola, I. canisuga, I. lividus, I. uriae, I. vespertilionis and Haemaphysalis punctata[8]. No georeferenced data were available for these species.


A new map of ixodid tick distributions in Germany is presented. The map was exclusively compiled from georeferenced locations, which are provided to the scientific community via a digital dataset (see Additional file 1). The most abundant species are I. ricinus, D. marginatus and D. reticulatus. The first record of a questing adult Hy. marginatum, a tick frequently transported by migratory birds into Germany as a larva or nymph [32], is noteworthy [31]. This unfed female of Hy. marginatum was found on the leg of an ornithologist living in the vicinity of Lake Constance, a well-known resting place for migratory birds at the German-Swiss border. Note that this finding of Hy. marginatum in Germany is not an isolated case. A second adult individual was found in the neighbouring Switzerland [3].

The brown dog tick Rhipicephalus sanguineus, a species complex endemic in the Mediterranean and other warm areas worldwide, was not considered here, although it is frequently introduced to Germany by traveling dogs. Various studies on R. sanguineus in Germany are available. For example, 60 tick-infested dogs, 17 of which had never left Germany, were investigated [33]. The study confirmed 16 small endemic foci in private homes and animal shelters. Nevertheless, no outdoor locations of R. sanguineus have been documented in Germany and in other central or north European countries so far [34].

We know that there are many more non-georeferenced ixodid tick sites described in Germany in the literature and also more ixodid tick species than listed in this study [8],[35]. It is an ongoing project to fill our tick map with old and new georeferenced data to make it even more useful. To document the existing knowledge about past and current tick distributions is an important basis to project current potential distributions and to model future distributions especially of prominent vector tick species.

Authors’ contributions

The study was designed by FR, the data collected and analyzed by FR, SL, BH and KB, the map compiled by KB and the paper written by FR and OK. MM, BH, OK and HD placed their own data. All authors read and approved the final version of the manuscript.

Additional file