Illuminating the "Invisible": Substantial Deep Respiration and Lateral Export of Dissolved Carbon From Beneath Soil
Abstract
Dissolved organic and inorganic carbon (DOC and DIC) influence water quality, ecosystem health, and carbon cycling. Dissolved carbon species are produced by biogeochemical reactions and laterally exported to streams via distinct shallow and deep subsurface flow paths. These processes are arduous to measure and challenge the quantification of global carbon cycles. Here we ask: when, where, and how much is dissolved carbon produced in and laterally exported from the subsurface to streams? We used a catchment-scale reactive transport model, BioRT-HBV, with hydrometeorology and stream carbon data to illuminate the “invisible” subsurface processes at Sleepers River, a carbonate-based catchment in Vermont, United States. Results depict a conceptual model where DOC is produced mostly in shallow soils (3.7 ± 0.6 g/m2/yr) and in summer at peak root and microbial respiration. DOC is flushed from soils to the stream (1.0 ± 0.2 g/m2/yr) especially during snowmelt and storms. A large fraction of DOC (2.5 ± 0.2 g/m2/yr) percolates to the deeper subsurface, fueling deep respiration to generate DIC. DIC is exported predominantly from the deeper subsurface (7.1 ± 0.4 g/m2/yr, compared to 1.3 ± 0.3 g/m2/yr from shallow soils). Deep respiration reduces DOC and increases DIC concentrations at depth, leading to commonly observed DOC flushing (increasing concentrations with discharge) and DIC dilution patterns (decreasing concentrations with discharge). Surprisingly, respiration processes generate more DIC than weathering in this carbonate-based catchment. These findings underscore the importance of vertical connectivity between the shallow and deep subsurface, highlighting the overlooked role of deep carbon processing and export.
Copyright and License
© 2024. The Authors. Water Resources Research published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Acknowledgement
We acknowledge Editor Kamini Singha, the Associate Editor, and two anonymous reviewers for their thoughtful and constructive feedback. This research is supported by the National Science Foundation Critical Zone Network Big Data Cluster (EAR-2012123). BS acknowledges funding from the Foster and Coco Stanback Postdoctoral Fellowship from the California Institute of Technology. DWK acknowledges funding from NSF EAR-2033995. This work would not be possible without the long-term efforts of continuous data collection at the W-9 catchment of the Sleepers River Research Watershed, which has been maintained by the U.S. Geological Survey since 1991, most recently through the Ecosystems Mission Area Climate Research and Development program. We acknowledge the rarity of this field site and its extensive data record, and we thank all the scientists at the U.S. Geological Survey in Vermont and various collaborators over the years who have helped collect, process, analyze, and maintain the data record.
Funding
This research is supported by the National Science Foundation Critical Zone Network Big Data Cluster (EAR-2012123). BS acknowledges funding from the Foster and Coco Stanback Postdoctoral Fellowship from the California Institute of Technology. DWK acknowledges funding from NSF EAR-2033995.
Data Availability
Hydrometeorology, aqueous chemistry, and snow data from Sleepers River are available in the following references: Shanley et al. (2021); Matt et al. (2021); and Chalmers et al. (2019). The HBV-light software and example data are available at: http://www.geo.uzh.ch/en/units/h2k/hbv-model. The source code and example files for the BioRT-HBV model are available at: https://zenodo.org/records/10724555 via DOI: https://zenodo.org/doi/10.5281/zenodo.10724554. The HBV-light and BioRT model files used in this study for the W-9 catchment are available at https://zenodo.org/records/10583216 via DOI: https://doi.org/10.5281/zenodo.10583216.
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Additional details
- National Science Foundation
- EAR‐2012123
- California Institute of Technology
- Foster and Coco Stanback Postdoctoral Fellowship
- National Science Foundation
- EAR‐2033995
- Available
-
2024-06-14Issue Online
- Accepted
-
2024-05-01Manuscript Accepted
- Caltech groups
- Division of Geological and Planetary Sciences
- Publication Status
- Published