2022 Early Hearing Detection & Intervention Virtual Conference

March 13 - 15, 2022

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5/23/2019  |   9:30 AM - 9:45 AM   |   HETEROTROPHIC REGIMES IN RIVERS: PARTITIONING SOURCES OF ECOSYSTEM RESPIRATION THROUGH A TIME-SERIES ANALYSIS   |  251 AB

HETEROTROPHIC REGIMES IN RIVERS: PARTITIONING SOURCES OF ECOSYSTEM RESPIRATION THROUGH A TIME-SERIES ANALYSIS

Respiration in streams is controlled by the timing, magnitude, and quality of organic matter (OM) inputs from internal production and external fluxes. Here, we tested how well current understanding of respiration drivers predict seasonal metabolic patterns. To that end, we developed a time-series analysis to estimate the contribution of different OM sources to the whole ecosystem respiration. OM sources analyzed included: long-term storage of OM in the streambed, autochthonous OM related to primary production, allochthonous OM delivered to the stream during discharge events, and seasonal pulses of leaf-fall. The framework considers the timing of the different OM inputs but accounts also for possible storage build-up and delay between OM input and respiration. We applied such analysis to 4 stream reaches, characterized by different catchment size, climate and canopy cover, where multi-annual time-series of estimated ecosystem respiration and ancillary environmental variables (namely, water temperature, discharge, gross primary production and leaf area index) were available. Results generally agree with conceptual predictions, but the detailed analysis of this rich dataset allowed shedding further light on how catchment size and the position control the heterotrophic regimes of streams and rivers.

  • Modeling
  • Organic Matter
  • Primary Production

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Presenters/Authors

Enrico Bertuzzo (), University Cà Foscari Venice, enrico.bertuzzo@unive.it;


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


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Alba Argerich (), School of Natural Resources, University of Missouri, argericha@missouri.edu;


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John kominoski (), Florida International U., jkominoski@gmail.com;


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Diana Oviedo Vargas (), Stroud Water Research Center, doviedo@stroudcenter.org;


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Philip Savoy (), Duke University, prs15@duke.edu;


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Rachel Scarlett (), Purdue University, rscarlet@purdue.edu;


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Daniel von Schiller (), University of Barcelona, d.vonschiller@ub.edu;


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Jim Heffernan (), Duke University, james.heffernan@duke.edu;


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