Effect of snow cover on the off-host survival of Dermacentor variabilis (Acari: Ixodidae) larvae

J Med Entomol. 2024 Jan 12;61(1):46-54. doi: 10.1093/jme/tjad150.

Abstract

The geographical range of the American dog tick, Dermacentor variabilis (Say), in Canada continues to expand northwards into areas with colder winter temperatures. Understanding what influences the off-host survival of D. variabilis over winter is important for predicting the northern distributional limit of this species. A field experiment was conducted to determine the effect of snow cover on the off-host survival of unfed D. variabilis larvae from a population situated near the northern distributional limit in Saskatchewan, Canada. Ticks were placed in tubes within 1 of 9 field enclosures (tickaria) in early fall. The 9 tickaria were divided into 3 equal treatment groups: no snow cover, natural snow cover (maximum depth of 25 cm) and extra snow cover (maximum depth of 32 cm). Tick survival was measured in mid-winter and in early spring (i.e., ~17 and ~26 wk after start of experiment). The results showed that snow cover had a significant impact on the relative humidity, but not temperature, in the tickaria. Larvae in tickaria with no snow cover had a higher mortality rate (27%) than larvae in tickaria with natural snow cover (6%) or extra snow cover (4%). Although snow cover enhanced off-host survival, many individuals were able to survive in sub-zero temperatures under leaf litter in the absence of continuous snow cover for a period of 108 days. These findings have implications for the construction of predictive models to determine the northern distributional limits of D. variabilis, a species that is an important vector of several pathogens.

Keywords: American dog tick; overwintering; snow cover; survival; unfed larvae.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Dermacentor*
  • Ixodidae*
  • Larva
  • Rhipicephalus sanguineus*
  • Saskatchewan
  • Snow

Supplementary concepts

  • Dermacentor variabilis