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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5/23/2019  |   2:30 PM - 2:45 PM   |  INTEGRATING DIEL PATTERNS IN DISSOLVED OXYGEN, CARBON DIOXIDE, AND METHANE FOR AN IMPROVED UNDERSTANDING OF RESPIRATION REGIMES IN STREAMS   |  251 AB

INTEGRATING DIEL PATTERNS IN DISSOLVED OXYGEN, CARBON DIOXIDE, AND METHANE FOR AN IMPROVED UNDERSTANDING OF RESPIRATION REGIMES IN STREAMS

Increasing spatial coverage and long-term records of high-frequency dissolved oxygen (O2) data have improved our understanding of metabolic regimes in freshwaters, but the contributions of anaerobic processes to carbon cycling are largely absent from stream metabolism frameworks. High-frequency O2, CO2, and CH4 data offer unique opportunities to integrate aerobic and anaerobic metabolism into our understanding of freshwater ecosystem function. Here we use simultaneous 10-30min O2, CO2, and CH4 sensor data over ~60 days to compare patterns in diel variation and estimate whole-ecosystem carbon metabolism in a Virginia stream draining mixed developed-agricultural land use. CO2 and CH4 peaked at night, mirroring diel O2. Diel variation exceeded day-to-day variation for all gases, with 24-hour min-max exceeding 5 ppmO2, 100 ppmCH4, and 1000 ppmCO2. The expansion and contraction of diel amplitude differed between CO2 and CH4 over the course of our monitoring period. Further, the time to return to pre-storm dynamics differs among the processes controlling O2, CO2, and CH4. Ongoing work is using sensors, stable isotopes, and organic matter analyses to simulate the processes controlling in-stream aerobic and anaerobic carbon metabolism.

  • Biogeochemistry
  • Metabolism
  • Oxygen

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Presenters/Authors

Erin R. Hotchkiss (), Virginia Tech, ehotchkiss@vt.edu;


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Stephen Plont (), Virginia Tech, plontste@vt.edu;


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Brynn ODonnell (), Virginia Tech, brynno@vt.edu;


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Morgan Gallagher (), Virginia Tech, mtg3@vt.edu;


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Kristen Bretz (), Virginia Tech, kabretz@vt.edu;


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