
Individual tick distribution records were assembled from published sources (Fig. 3); the total number of records was around 34000. Full details of the sources consulted are given by Cumming (1999a). The data were collected over the period 1900–1997, and most collections occurred between 1950 and 1985. It was assembled from a wide range of published sources and contains the kinds of bias that might be expected in this kind of data; ticks are sampled unevenly in different countries, cattle have been disproportionately sampled relative to wild hosts, and some identifications are unreliable (Cumming, 1998, 2002). The collection records were at varying degrees of accuracy; many were entered from maps using a Calcomp Drawingboard III digitizer, and others from place names or coordinates given by the collector(s). Coordinates for collection localities were obtained from the on-line National Imagery and Mapping Agency database (NIMA 1999) where necessary. All analyses were done at a resolution of 0.25 3 0.25 degrees to allow some leeway for error.
TickMap Methods: Data (Main_tick_database(.txt).ZIP 535KB) sent to me by Graeme Cumming on 15 May 2010. DIVA-GIS check coordinates to identify points outside country and falling in water. Most falling in water points were close to coast. Many country discrepancies due to Zaire or other name difference – these were corrected. Records were annotated as problematic using the join function of ArcGIS 3.3 Outside country points were separated (n = 748), Low reliability points (i.e. rated 3) were separated (n = 463). This left 32778 records for further cleaning – these are the data that I talk about from now on. Uncertainty was assumed to be 7km for reliability score 1 and 20km for reliability score 2 (Score 3 points were put aside for future consideration). Records were sometimes compilations of collections by different people over a time period, and for ticks collected on different hosts. All records listed a host, and up to 21 hosts were identified for a single record. However, for TickMap these are considered separate collections, so records were separated when multiple hosts were listed. This process was aided by an Excel formula for extracting vectors from a matrix to (see http://www.cpearson.com/excel/MatrixToVector.aspx). 36745 records resulted from this process. Host data were cleaned to standardize terminology (e.g. No data for Not individually recorded, not recorded etc), and remove leading spaces. Realised that collecting method conflates the habitat, host and collecting method. So introduced a field called habitat. For example, a record that says from vegetation is habitat=vegetation, host=no data, collecting method=no data. Assumed that collections from a named animal resting/nesting/burrow site meant that the animal was the host, habitat=resting site, collecting method=no data. Abattoir is host=no data, collecting method=no data, habitat=abbatoir, but cows in abbatoir is host=cows, collecting method=Attached or crawling on animal, habitat=abbatoir. In a house is host=human, collecting method=Other[free-living], habitat=in a house. In building is host=no data, collecting method=Other[free-living], habitat=in a building. Likely host was recorded, e.g. not recorded (almost certainly elephant) was recorded as elephant but verbatim recorded in remarks. If two hosts and/or then assume tick on both. If “and not recorded” then did not treat this as separate record. Fowls were assumed to be chickens and “fowls or fowl runs” was treated conservatively as host=chicken, collecting method= Other[free-living], habitat=in a coop. Checked host species names against Mammal’s Planet (http://www.planet-mammiferes.org/drupal/en/node/20) and Mammal species of the world (http://www.bucknell.edu/msw3/). Tick names that did not agree with Guggliammi were referred to Rich Robbins, who assigned synonymys and gave other details, which often appear in Remarks.
Vector format image files for tick species was sent to D. Foley in June 2011. These were converted to raster format and georeferenced according to the following method: Open PowerPoint. Create slide 56 x 56 inches. Insert .wmf image. Resize to 1000%. If save as .jpg from Powerpoint it results in a small file. Therefore, copy and paste into MS Paint program, then save as .jpg. this should result in a file of at least 1MB. Maps were roughly georeferenced in DIVA-GIS (Tools>Georeference Image), which produces a .jpgw file with the coordinates and resolution information. Used the align tool in ArcGIS 3.3 and saved as .tiff, which produces a .tfw file. Used the information in the latter file to update the .jpgw file. Alternatively, aligning was done in ArcMap10, and the details visible when you right click the image layer then Data>Export Data, gives you the information that you can use to update the georeferencing information in DIVA-GIS. By Desmond Foley June 2011.
Some related references:
Cumming, G. S. 1998. Host preference in African ticks (Acari:
Ixodida): a quantitative data set. Bulletin of Entomological
Research 88:379–406.
Cumming, G. S. 1999a. Host distributions do not limit the
species ranges of most African ticks (Acari: Ixodida). Bulletin
of Entomological Research 89:303–327.
Cumming, G. S. 1999b. The evolutionary ecology of African
ticks. Dissertation. University of Oxford, Oxford, UK.