EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
6/08/2017 | 9:00 AM - 9:15 AM | COLONIZATION PATTERNS OF LARVAL SIMULIUM JENNINGSI (DIPTERA: SIMULIIDAE) WITHIN A RIVER SYSTEM: AQUATIC HABITAT CHARACTERISTICS AS PREDICTORS OF BLACK FLY NUISANCE SEVERITY | 306C
COLONIZATION PATTERNS OF LARVAL SIMULIUM JENNINGSI (DIPTERA: SIMULIIDAE) WITHIN A RIVER SYSTEM: AQUATIC HABITAT CHARACTERISTICS AS PREDICTORS OF BLACK FLY NUISANCE SEVERITY
Simulium jenningsi (Diptera: Simuliidae) is a nuisance-causing black fly in the Mid-Atlantic United States. In Maryland the adult females are found throughout several counties bordering the Potomac River, but only form severe nuisance problems in localized communities. Our objectives were to 1. compare the relative density of larvae within riffles along the Potomac River system, 2. assess the spatial relationship between larval density and adult swarm severity, and 3. determine the habitat characteristics significantly correlated with high larval abundance. Artificial substrates were deployed during the summers of 2015 and 2016 to measure relative larval colonization densities between riffle locations. Measurements of water quality, seston composition, and flow velocity were taken at each deployment. S. jenningsi density varied along the length of the river system, with higher proportions of congeneric larvae at the most downstream, and urbanized, locations. High larval density was spatially correlated to regions of adult nuisance severity. Flow velocity was the most significant correlate to larval density. As water quality improves and S. jenningsi is able to proliferate in new locations, predictive methods of determining communities at risk for nuisance swarms will become valuable tools for future management.
- C06 Large River Ecology
- C15 Population Ecology
- C03 Invertebrates
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Presenters/Authors
Rebecca Wilson
(), University of Maryland, rcwilson@umd.edu;
ASHA DISCLOSURE:
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William Lamp
(), University of Maryland, lamp@umd.edu;
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