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Tick ecology: processes and patterns behind the epidemiological risk posed by ixodid ticks as vectors

Published online by Cambridge University Press:  19 April 2005

S. E. RANDOLPH
Affiliation:
Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK
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Abstract

The population ecology of ticks is fundamental to the spatial and temporal variation in the risk of infection by tick-borne pathogens. Tick population dynamics can only be fully understood by quantifying the rates of the demographic processes, which are influenced by both abiotic (climatic) factors acting on the free-living tick stages and biotic (host) responses to the tick as a parasite. Within the framework of a population model, I review methods and results of attempts to quantify (1) rates of tick development and the probability of diapause, (2) the probability of questing for hosts by unfed ticks, (3) the probability of ticks attaching to a host, and (4) tick mortality rates. Biologically, these processes involve the physiological and behavioural response of ticks to temperature, moisture stress and day length that result in specific patterns of seasonal population dynamics and host relationships. Temperate and tropical patterns will be illustrated with reference mostly to Ixodes ricinus and Rhipicephalus appendiculatus, respectively.

Information

Type
Research Article
Copyright
© 2004 Cambridge University Press
Figure 0

Fig. 1. The structure of a population model for the tick Ixodes riciuns. Factors which determine the rates of the processes described within each box may be abiotic (solid arrow) or biotic (dotted arrow).

Figure 1

Fig. 2. The relationships between temperature and daily rates of inter-stadial development. Note the same pattern, but quantitative differences between stages (circles, larva–nymph; squares, nymph–adult; triangles, female–larva), and between species (filled symbols, Rhipicephalus appendiculatus; open symbols, Ixodes ricinus). Re-drawn from original data in Campbell, 1948; Branagan, 1973; Kaiser et al. 1988.

Figure 2

Fig. 3. Seasonal and geographical variation in daily rates of larva–nymph inter-stadial development rates predicted by day-degree summation models based on ambient temperatures. Squares, Ixodes ricinus in Dorset, UK ([squf ]) and Wales, UK (□); circles, Rhipicephalus appendiculatus in Kirundo, Burundi ([bull ]) and Gulu, South Africa (○). The grey symbols () show the effect of basing the predictions for Dorset on air, rather than soil, temperatures.

Figure 3

Fig. 4. Seasonal variation in the number of larval, nymphal and adult Rhipicephalus appendiculatus at (a) Gulu, South Africa (data from Rechav, 1982) and (b) Kirundo, Burundi (data from Kaiser et al. 1988). The grey arrows indicate which ticks of one life stage gave rise to which ticks of the next stage (according to Randolph, 1994a, 1997). In (a), ‘d’ marks the months of diapausing adults, and asterisks mark those adults and larvae which were counted after recruitment had apparently ceased (see text).

Figure 4

Fig. 5. Seasonal variation in the number of larval, nymphal and adult Ixodes ricinus in Dorset, UK. The arrows indicate which ticks of one life stage gave rise to which ticks of the next stage (according to Randolph et al. 2002). Asterisks mark show dates of first appearance of high-fat (newly recruited) nymphs and adults in the field.

Figure 5

Fig. 6. Seasonal changes in absolute frequency distributions of questing nymphal Ixodes ricinus with different fat content indices counted per 100 m2 in Dorset, UK, starting with late summer at the top in each of two years. Data for two monthly samples are presented in each histogram, showing the earlier data of each pair as filled bars and the later date hatched. In September/October when old and new recruits occur within the same sample, new recruits are shown by open bars. The vertical dotted line is purely to guide the eye.

Figure 6

Fig. 7. Seasonal variation in maximum air temperature (Ta) and numbers of questing larval (○) and nymphal ([bull ]) Ixodes ricinus at three sites in the UK (note that larval density is presented at 33% of observed level). Dotted and dashed lines indicate the temperature thresholds for the onset of seasonal activity of larvae and nymphs, respectively.

Figure 7

Fig. 8. Seasonal changes in the size (i.e. fat free weight) composition of populations of questing nymphal Ixodes ricinus during the life-span of a single cohort on Exmoor, UK 1998–1999. Sample dates and sizes are shown in the key. With permission from Randolph et al. 2002.

Figure 8

Fig. 9. Questing activity and attachment to rodents of Ixodes ricinus nymphs and larvae in relation to degrees of moisture stress in dry (left) and wet (right) experimental arenas. (a) maximum saturation deficit; (b) numbers of nymphs and (c) larvae counted per hour at 0900 and 2100 h (filled symbols) and 1200, 1500 and 1800 h (open symbols); (d) numbers of nymphs (circles) and larvae (diamonds) attached per rodent. Fresh ticks were added to the arenas on days 17 and 24 as indicated, and the dry arena was watered on day 24, both of which showed that quiescence rather than death was the cause of low questing activity. Data taken from Randolph & Storey, 1999.

Figure 9

Fig. 10. Theoretical changes in the numbers of questing ticks (Nt) through time (t) in the absence of hosts or the presence of hosts at different densities. Seasonal recruitment (which may be directly through development, or by reactivation of ticks after a period of behavioural diapause or quiescence) starts at time t0 and ceases at time t1. Re-drawn from Randolph & Steele, 1985.

Figure 10

Fig. 11. The numbers of larvae (○) and nymphs ([bull ]) of Ixodes ricinus picked up by blanket-dragging in each of three enclosures on hill grazings in Wales, UK, with different densities of sheep, the only significant host. From Randolph & Steele, 1985.

Figure 11

Table 1. Examples of mortality estimates for I. ricinus derived from observations on ticks within containers

Figure 12

Fig. 12. Significant density-dependent relationships between the index of mortality from nymphs to adults and the log number of Rhipicephalus appendiculatus nymphs ([bull ]), and from larvae to nymphs and the log number of R. appendiculatus larvae (○), at Kirundo, Burundi (a) and (c) and Gulu, South Africa (b) and (d). Deviations from the regressions are significantly related to rainfall at Kirundo. Re-drawn from Randolph, 1994a, 1997.

Figure 13

Fig. 13. Significant relationships between the index of mortality from females to larvae of Rhipicephalus appendiculatus and moisture conditions during egg development, (a) rainfall at Kirundo, Burundi and (b) minimum % relative humidity at Gulu, South Africa. The bracketed outlier in (a) refers to the mortality during egg development in a month of low rainfall in the middle of the wet season, when soil moisture was likely to be high. Re-drawn from Randolph, 1994a, 1997.

Figure 14

Fig. 14. Changes in mean (a) percent engorgement and (b) percent survival of Ixodes ricinus larvae with successive infestations on castrated voles (Clethrionomys glareolus) implanted with oil (○) or with testosterone ([bull ]). Data from Hughes & Randolph, 2001a.

Figure 15

Fig. 15. Frequency distributions of the numbers of treated and control male pheasants that acquired different numbers of females, depending on their median wattle score (from 3 observations of each male in April). Score 1=no inflation of wattle, pinnae (ear tufts) not visible; 2=some inflation of wattles, pinnae discernible; 3=wattles fully inflated, pinnae erect. Number of females: open bars, 0; diagonal hatch, 1; stippled, 2; cross hatch, 3; black, 4–7. From Hoodless et al. 2002.

Figure 16

Fig. 16. The coincident aggregated frequency distributions of Ixodes ricinus larvae and nymphs on rodents (Clethrionomys glareolus and Apodemus flavicollis) from April to July in the Borská nízina lowland, Slovakia. At each intensity of larval infestation (X-axis), the numbers of hosts coincidentally feeding zero (open bars), 1–2 (light stippled), 3–4 (dark stippled) or 5–23 (black) nymphs are shown. Mean number of larvae co-feeding with a nymph=20. From Randolph et al. 1999.

Figure 17

Fig. 17. Seasonal variation in the mean number of Rhipicephalus appendiculatus per host observed (○) and predicted by the population model ([bull ]); observed larvae×100, observed nymphs×10. (a) Gulu, South Africa, observations from Rechav, 1981; (b) Baker's Fort, northern Uganda, observations from Kaiser et al. 1991; (c) Ukunda, coastal Kenya, observations from Newson, 1978 did not include larvae. From Randolph & Rogers, 1997.

Figure 18

Fig. 18. Predictive maps of Rhipicephalus appendiculatus in East Africa compared with recorded presence ([bull ]) as compiled by Cumming (1996). (a) Relative abundance predicted by the population model (Randolph & Rogers, 1997) driven by temperature and rainfall taken from an interpolated climate database (Hutchinson et al. 1995). (b) Probabilities of tick presence driven by Advanced Very High Resolution Radiometer (AVHRR) satellite imagery (J. F. Toomer, 1996, unpublished observations).