期刊
VECTOR-BORNE AND ZOONOTIC DISEASES
卷 16, 期 3, 页码 205-211出版社
MARY ANN LIEBERT, INC
DOI: 10.1089/vbz.2015.1837
关键词
Precipitation; MaxEnt; Soil moisture; Climate; Amblyomma americanum; Lone star tick; Temperature
资金
- PHS grant from National Institute of Allergy and Infectious Diseases, National Institutes of Health, USA [AI070908]
- KAES Hatch Project [353]
- Kansas State Veterinary Diagnostic Laboratory (KSVDL)
The potential distribution of Amblyomma americanum ticks in Kansas was modeled using maximum entropy (MaxEnt) approaches based on museum and field-collected species occurrence data. Various bioclimatic variables were used in the model as potentially influential factors affecting the A. americanum niche. Following reduction of dimensionality among predictor variables using principal components analysis, which revealed that the first two principal axes explain over 87% of the variance, the model indicated that suitable conditions for this medically important tick species cover a larger area in Kansas than currently believed. Soil moisture, temperature, and precipitation were highly correlated with the first two principal components and were influential factors in the A. americanum ecological niche. Assuming that the niche estimated in this study covers the occupied distribution, which needs to be further confirmed by systematic surveys, human exposure to this known disease vector may be considerably under-appreciated in the state.
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