Validating Species Distribution Models With Standardized Surveys for Ixodid Ticks in Mainland Florida

Tick-borne pathogens are of growing concern. The U.S. Centers for Disease Control and Prevention (CDC) developed guidelines standardizing surveys of tick vectors to better monitor the changes in their occurrences. Unbiased surveillance data, from standardized surveys, are presumed critical to genera...

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Bibliographic Details
Published in:Journal of medical entomology 2021-05, Vol.58 (3), p.1345-1351
Main Authors: Glass, Gregory E., Ganser, Claudia, Kessler, William H.
Format: Article
Language:English
Subjects:
Amblyomma - growth & development
Amblyomma - physiology
Animal Distribution
Animals
Arachnids
Biological monitoring
Control
Dermacentor - growth & development
Dermacentor - physiology
Destruction
Disease control
external validity
Florida
Geographical distribution
Insects as carriers of disease
Ixodes - growth & development
Ixodes - physiology
Ixodida
Ixodidae
Methods
Nymph - growth & development
Nymph - physiology
Polls & surveys
Risk factors
Scientific surveys
Species
species distribution model
surveillance
tick
Tick-borne diseases
tickborne disease
Ticks
VECTOR-BORNE DISEASES, SURVEILLANCE, PREVENTION
Vectors
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Summary:Tick-borne pathogens are of growing concern. The U.S. Centers for Disease Control and Prevention (CDC) developed guidelines standardizing surveys of tick vectors to better monitor the changes in their occurrences. Unbiased surveillance data, from standardized surveys, are presumed critical to generate valid species distribution models (SDMs). We tested previously generated SDMs from standardized protocols for three medically important ticks [Amblyomma americanum (Linnaeus, Ixodida, Ixodidae), Ixodes scapularis (Say, Ixodida, Ixodidae), and Dermacentor variabilis (Say, Ixodida, Ixodidae)]. These previous models ruled out a quarter to half of the state as having these species, with consensus occurrence in about a quarter of the state. New surveys performed throughout 2019 on 250 transects at 43 sites indicated the rule-out functions were 100% accurate for I. scapularis and D. variabilis and 91.9% for A. americanum. As SDM concordance increased, the proportion of transects yielding ticks increased. Independent surveys of SDMs provide external validation—an aspect missing from many SDM studies.
ISSN:0022-2585
1938-2928
DOI:10.1093/jme/tjaa282