EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021

(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)

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6/05/2017  |   12:15 PM - 12:30 PM   |  USE OF ALTERNATIVE INVERTEBRATE SAMPLING TECHNIQUES CAN MOVE THE SCIENCE OF FLOW ECOLOGY FORWARD: CASE STUDIES FROM THE COLORADO RIVER   |  302C

USE OF ALTERNATIVE INVERTEBRATE SAMPLING TECHNIQUES CAN MOVE THE SCIENCE OF FLOW ECOLOGY FORWARD: CASE STUDIES FROM THE COLORADO RIVER

Traditional benthic invertebrate sampling and associated metrics (species richness, biotic indices) are widely used to describe ecosystem response to hydrologic alteration, yet benthic sampling is exceedingly challenging in large rivers that are the most extensively altered. Here, I demonstrate the potential of alternative sampling techniques to discern invertebrate response to hydrologic alteration in using datasets of drift (monthly sampling for ten years) and citizen science light trap sampling of emergent insects (a thousand samples per year for five years). Drift sampling in the Colorado River demonstrates that the seasonal timing of controlled floods released from Glen Canyon Dam determines invertebrate population response, with spring-timed floods increasing population abundance of the two insect taxa present (midges and blackflies) and fall-timed floods increasing population abundance of New Zealand mudsnails. Similarly, synoptic citizen science emergence sampling reveals spatial periodicity in abundance of adult midges along the 400 kilometer-long Grand Canyon segment owing to the downstream propagation of hydropeaking waves and differential survival of midge eggs. These examples demonstrate the incredible potential of alternative sampling techniques to generate the large and robust datasets needed to push the science of flow ecology forward.

  • C03 Invertebrates
  • C11 Community Ecology
  • S31 Moving forward in flow ecology: identifying and testing key hypotheses

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Presenters/Authors

Ted Kennedy (), USGS Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, tkennedy@usgs.gov;


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