2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
5/21/2018 | 12:15 PM - 12:30 PM | WARMING INDUCES ASYMMETRIC CONVERGENCE OF STREAM METABOLIC BALANCE | 330 B
WARMING INDUCES ASYMMETRIC CONVERGENCE OF STREAM METABOLIC BALANCE
Quantifying the temperature dependence of stream metabolism is critical for predicting how stream ecosystems will respond to climate warming. We modeled diel DO dynamics and estimated the activation energies of GPP and ER in streams distributed across six biomes of North America. The difference in the activation energies of GPP and ER, which describes the temperature dependence of GPP/ER, decreased with mean daily stream temperature and GPP/ER. This relationship allowed us to predict warming-induced changes in whole-stream GPP/ER as a function of stream temperature and current GPP/ER. We applied these relationships to a global compilation of stream metabolism and found that a 1 °C increase in stream temperature induced convergence in stream metabolic balance, realized as reduced inter-site variability in GPP/ER. GPP/ER in streams with higher current temperatures and GPP/ER is predicted to decrease in response to warming, whereas in streams with lower current temperatures and GPP/ER it is expected to increase, although by a smaller magnitude. We estimated a 23.6% increase (0.019 Pg/year) in carbon release from stream metabolism globally under a 1 °C increase in stream temperature.
- Temperature
- Ecosystem
- Modeling
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Presenters/Authors
Chao Song
(), Michigan State University, chaosong@msu.edu;
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Walter Dodds
(), Kansas State University, wkdodds@ksu.edu;
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Janine Ruegg
(), École Polytechnique Fédérale de Lausanne, jrueegg@GMAIL.COM;
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Alba Argerich
(), University of Missouri, alba.argerich@oregonstate.edu;
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Christina Baker
(), University of Alaska Fairbanks, clbaker5@alaska.edu;
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William Breck Bowden
(), University of Vermont, breck.bowden@uvm.edu;
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Michael Douglas
(), University of Western Australia & Charles Darwin University, michael.douglas@uwa.edu.au;
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Kaitlin Farrell
(), University of Georgia, kfarrel@uga.edu;
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Michael B. Flinn
(), Watershed Studies Institute, Dept. of Biological Sciences, Murray State University, mflinn@murraystate.edu;
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Erica Garcia
(), Charles Darwin University, erica.garcia@cdu.edu.au;
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Ashley Helton
(), University of Connecticut, ashley.helton@uconn.edu;
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Tamara Harms
(), University of Alaska Fairbanks, tamara.harms@alaska.edu;
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Shufang Jia
(), Kansas State University, shufangj@ksu.edu;
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Jeremy Jones
(), Univeristy of Alaska Fairbanks, jbjonesjr@alaska.edu;
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Lauren Koenig
(), University of New Hampshire, lauren.koenig@unh.edu;
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John S. Kominoski
(), Florida International University, jkominoski@gmail.com;
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William H. McDowell
(), University of New Hampshire, bill.mcdowell@unh.edu;
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Damien McMaster
(), Charles Darwin University, Damien.McMaster@cdu.edu.au;
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Samuel P. Parker
(), University of Vermont, samuel.parker@uvm.edu;
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Amy D. Rosemond
(), University of Georgia, rosemond@uga.edu;
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Claire Ruffing
(), University of British Columbia, ruffing.cathcart@ubc.ca;
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Ken Sheehan
(), University of New Hampshire, ken.r.sheehan@gmail.com;
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Matt Trentman
(), Flathead Lake Biological Station, University of Montana, matt.trentman@flbs.umt.edu;
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Matt Whiles
(), University of Florida, mwhiles@ufl.edu;
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Wilfred Wollheim
(), University of New Hampshire, wil.wollheim@unh.edu;
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Ford Ballantyne
(), University of Georgia, fb4@uga.edu;
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