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Fig. 1 in Testing the robustness of transmission network models to predict ectoparasite loads. One lizard, two ticks and four years

Fig. 1. Transmission networks generated with (a) a short time window of infection; and (b) a long time window of infection, from the GPS location data of the lizards in the study population in 2010. Nodes represent individual lizards and edges between nodes are directed towards the lizard that is at risk of infection. The edges are weighted as described in the main text and the thicker the line the more weight is associated with that edge.

Fig. 2 in Cercopithifilaria rugosicauda (Spirurida, Onchocercidae) in a roe deer and ticks from southern Italy

Fig. 2. First-stage larvae (L1) of Cercopithifilaria rugosicauda retrieved in a skin snip of a roe deer (scale-bar = 50 µm).

Fig. 3 in Cercopithifilaria rugosicauda (Spirurida, Onchocercidae) in a roe deer and ticks from southern Italy

Fig. 3. Infective third-stage larvae (L3) of Cercopithifilaria rugosicauda found in a dissected nymph of Ixodes ricinus. (A) Cephalic region (scale-bar = 20 µm): note the shallow oral cavity lacking buccal capsule. (B) Caudal region (scale-bar = 20 µm): note the presence of three lappets, two conical lateral and one rounded central.

Fig. 1 in Cercopithifilaria rugosicauda (Spirurida, Onchocercidae) in a roe deer and ticks from southern Italy

Fig. 1. Female Cercopithifilaria rugosicauda. (A) Anterior part, lateral view. (B) Vagina, lateral view; note the oesophago-intestinal junction. (C) Tail, lateral view. (D) Tail extremity, ventral view; note ventral protuberances (arrow). Scale-bars in micrometers.

Fig. 4 in Cercopithifilaria rugosicauda (Spirurida, Onchocercidae) in a roe deer and ticks from southern Italy

Fig. 4. Phylogeny of filarioid Onchocercidae based on cox1 (a) and 12S rDNA (b) gene sequences under Maximum Likelihood method, using 8000 replicates bootstrap values. The trees were rooted against Thelazia callipaeda (out-group).

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Fig. 2 in Apparent fatal winter tick (Dermacentor albipictus) infestation in captive reindeer (Rangifer tarandus)

Fig. 2. Dorsal (A) and ventral view (B) of an adult female Dermacentor albipictus collected from captive reindeer. Inset image shows large goblet cells on the spiracular plate.

Fig. 3 in Seasonal variation in the abundance and distribution of ticks that parasitize Microcebus griseorufus at the BezàMahafaly Special Reserve, Madagascar

Fig. 3. Possible life cycle of H. lemuris. Peak activity for larvae occurs in May, but larvae may be found feeding into June and October. Larvae attach to Microcebus hosts and after a blood meal, fall off and molt into nymphs. Nymphs are active and feed on Microcebus throughout the dry season and likely feed on other lemurs during part of the wet season. Adult-stage ticks remain active during the wet season, feeding on larger-bodied lemurs, such as L. catta, and P. verreauxi. Engorged females fall off and lay eggs in leaf litter. It is possible that all four stages can diapause if no suitable hosts or conditions are found (gray dotted line). Mice or rats may also serve as hosts to larvae during the dry season.

Fig. 1. Monthly averages for A in Seasonal variation in the abundance and distribution of ticks that parasitize Microcebus griseorufus at the BezàMahafaly Special Reserve, Madagascar

Fig. 1. Monthly averages for A) tick intensity on mouse lemurs as it compares to B) rainfall and C) temperature, during the year-long study season. Shaded area indicates months included in the dry season. Environmental data were collected daily.

Fig. 2 in Seasonal variation in the abundance and distribution of ticks that parasitize Microcebus griseorufus at the BezàMahafaly Special Reserve, Madagascar

Fig. 2. Differences in infestation rates at Parcel 1 by A) sex B) substrate C) males and substrate and D) females and substrate. * indicates P <0.05, **P <0.01; ***P <0.001 and compares variables on the x-axis.

Fig. 6 in Climate change, biodiversity, ticks and tick-borne diseases: The butterfly effect

Fig. 6. Podolica cattle in the Gallipoli Cognato Regional Park, Basilicata, southern Italy. These cattle move freely within the park's territory, helping in disseminating Ixodes ricinus to different altitudes (from 200 m to over 1000 m).

Fig. 5. A in Climate change, biodiversity, ticks and tick-borne diseases: The butterfly effect

Fig. 5. A male of the winter tick Haemaphysalis inermis collected in a cold winter day in January 2010 in Basilicata, southern Italy.

Fig. 4 in Climate change, biodiversity, ticks and tick-borne diseases: The butterfly effect

Fig. 4. Shanghai, China: the largest city proper by population in the world. China is the world's largest carbon emitter; it accounted for 29% of global total emissions in 2012 (Olivier et al., 2013).

Fig. 3 in Climate change, biodiversity, ticks and tick-borne diseases: The butterfly effect

Fig. 3. Deforestation of Atlantic rainforest for the establishment of banana tree plantations in Amaraji, north-eastern Brazil.

Fig. 1 in Climate change, biodiversity, ticks and tick-borne diseases: The butterfly effect

Fig. 1. Climate change is contributing to sea level rise. The Boa Viagem beach is a tourist destination in Recife, north-eastern Brazil. If current trends in sea level rise persist, cities like Recife may be literally swallowed the sea in the coming decades.

Fig. 2 in Climate change, biodiversity, ticks and tick-borne diseases: The butterfly effect

Fig. 2. Sloth found on a road that crosses a region of Atlantic rainforest in Aldeia, north-eastern Brazil. Crab-eating foxes (Cerdocyon thous) and other wild animals are commonly seen crossing this road and are frequently victims of car crashes.

Fig. 2 in Comparison of natural and artificial odor lures for nilgai (Boselaphus tragocamelus) and white-tailed deer (Odocoileus virginianus) in South Texas: Developing treatment for cattle fever tick eradication

Fig. 2. Locations of nilgai lure transects (red bars) at the Santa Rosa Ranch near Riviera, TX. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

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Fig. 2. A in Lizards, ticks and contributions to Australian parasitology: C. Michael Bull (1947-2016)

Fig. 2. A scanned image of the (a) first and (b) final datasheets in the 35-year study of ticks on sleepy lizards along the parapatric boundary at Bundey Bore/Mt Mary.

Fig. 5 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis

Fig. 5. Spatial autocorrelation in the total tick number of counted nests, measured as Moran's I, across three distance classes: a, 1st visit; b, 2nd visit; c, 3rd visit; d, 4th visit; e, 5th visit; f, 6th visit. Circles indicate the autocorrelation coefficients. The same results were obtained with female count numbers.

Fig. 2 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis

Fig. 2. Histogram presenting the mean number of ticks observed in all nests over time. Bars represent mean standard errors of the total number of ticks.

Fig. 3 in Population structure of the soft tick Ornithodoros maritimus and its associated infectious agents within a colony of its seabird host Larus michahellis

Fig. 3. Boxplot representations of tick numbers in counted and collected nests over time: a, females only; b, males only; c, nymphs. The box shows the median as a line across the middle and the quartiles (25th and 75th percentiles) at either end. Extremities represent the minimal and maximal values and circles represent outliers.