Abstract
While the hyporheic zone (HZ) accounts for a significant portion of whole stream CO2 concentrations, HZ respiration modeling studies are lacking in quantifying their contributions to the total CO2 at large watershed/basin scales. Quantifying the contribution of anaerobic respiration is also underappreciated. This study used a carbon-nitrogen-coupled river corridor model to quantify HZ aerobic and anaerobic respiration and determined the key factors controlling their spatial variability within the Columbia River Basin (CRB). The modeled respiration patterns showed high spatial variability. Among the nine sub-basins composing the CRB, the Lower Columbia and the Willamette, which receive higher precipitation, had higher respiration. Medium-sized rivers (fourth to sixth orders) produced the highest aerobic and anaerobic respiration among reaches of different sizes. At the basin scale, aerobic respiration is dominant, representing approximately 98.7% of the total respiration across the CRB. While most of the reaches were dominant with aerobic respiration, reaches in agricultural land showed a relatively higher anaerobic respiration (18%) ratio. A variable importance analysis showed that hyporheic exchange flux controlled most of the spatial variability of HZ respiration, dominating over other physical variables such as residence time, stream dissolved organic carbon (DOC), nitrate, and dissolved oxygen (DO). The influence of substrate concentration (DOC and DO) is larger in modeling anaerobic respiration than aerobic respiration. Future efforts will focus on improving the estimation of the HZ exchange flux and the implementation of spatially explicit parameterizations for the reactions of interest to reduce model uncertainty.
Original language | English |
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Article number | e2021JG006654 |
Journal | Journal of Geophysical Research: Biogeosciences |
Volume | 127 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2022 |
Funding
This research was supported by the Department of Energy (DOE), Office of Science (SC) Biological and Environmental Research (BER) program, as part of BER's Environmental System Science (ESS) program. This contribution originates from the River Corridor Scientific Focus Area (SFA) at Pacific Northwest National Laboratory (PNNL). This research used resources from the National Energy Research Scientific Computing Center, a DOE-SC User Facility. PNNL is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of DOE or the United States Government. The authors thank an associate editor and two anonymous reviewers for providing helpful comments on a previous version of this manuscript. This research was supported by the Department of Energy (DOE), Office of Science (SC) Biological and Environmental Research (BER) program, as part of BER's Environmental System Science (ESS) program. This contribution originates from the River Corridor Scientific Focus Area (SFA) at Pacific Northwest National Laboratory (PNNL). This research used resources from the National Energy Research Scientific Computing Center, a DOE‐SC User Facility. PNNL is operated for DOE by Battelle Memorial Institute under contract DE‐AC05‐76RL01830. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of DOE or the United States Government. The authors thank an associate editor and two anonymous reviewers for providing helpful comments on a previous version of this manuscript.
Keywords
- aerobic and anaerobic respiration
- hyporheic zone
- river corridor model
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Model Inputs, Outputs, and Scripts associated with: “Spatial microbial respiration variations in the hyporheic zones within the Columbia River Basin”
Son, K. (Creator), Fang, Y. (Creator), Gomez Velez, J. (Creator) & Chen, X. (Creator), Environmental System Science Data Infrastructure for a Virtual Ecosystem; Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE), Jan 1 2023
DOI: 10.15485/1962818
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