Phenology of five tick species in the central Great Plains

PLoS One. 2024 May 9;19(5):e0302689. doi: 10.1371/journal.pone.0302689. eCollection 2024.

Abstract

The states of Kansas and Oklahoma, in the central Great Plains, lie at the western periphery of the geographic distributions of several tick species. As the focus of most research on ticks and tick-borne diseases has been on Lyme disease which commonly occurs in areas to the north and east, the ticks of this region have seen little research attention. Here, we report on the phenology and activity patterns shown by tick species observed at 10 sites across the two states and explore factors associated with abundance of all and life specific individuals of the dominant species. Ticks were collected in 2020-2022 using dragging, flagging and carbon-dioxide trapping techniques, designed to detect questing ticks. The dominant species was A. americanum (24098, 97%) followed by Dermacentor variabilis (370, 2%), D. albipictus (271, 1%), Ixodes scapularis (91, <1%) and A. maculatum (38, <1%). Amblyomma americanum, A. maculatum and D. variabilis were active in Spring and Summer, while D. albipictus and I. scapularis were active in Fall and Winter. Factors associated with numbers of individuals of A. americanum included day of year, habitat, and latitude. Similar associations were observed when abundance was examined by life-stage. Overall, the picture is one of broadly distributed tick species that shows seasonal limitations in the timing of their questing activity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amblyomma / growth & development
  • Amblyomma / physiology
  • Animals
  • Dermacentor / growth & development
  • Dermacentor / physiology
  • Ecosystem
  • Female
  • Ixodes / growth & development
  • Ixodes / physiology
  • Ixodidae / growth & development
  • Ixodidae / physiology
  • Kansas
  • Male
  • Oklahoma
  • Seasons*
  • Ticks / growth & development
  • Ticks / physiology

Grants and funding

This material is based upon work supported by the National Science Foundation under Grant No. OIA-1920946.