Brinkerhoff, CB, Raymond, PA, Maavara, T orcid.org/0000-0001-6677-9262 et al. (3 more authors) (2021) Lake Morphometry and River Network Controls on Evasion of Terrestrially Sourced Headwater CO₂. Geophysical Research Letters, 48 (1). e2020GL090068. ISSN 0094-8276
Abstract
Lakes are central components of the inland water system distinct from, yet inextricably connected to, river networks. Currently, existing network-scale biogeochemistry research, although robust, typically treats each of these components separately or reductively. Here, we incorporate lake morphometry into a fully connected stream/lake network for the Connecticut River watershed and model potential evasion of terrestrially sourced headwater CO2 as transported through the network, ignoring in-stream production. We found that approximately 25%–30% of total potential soil CO2 evasion occurs in lakes, and percent evasion is inversely related to streamflow. A lake's ability to evade CO2 is controlled by residence time and size: most lakes with residence time over 7 days or surface area greater than 0.004 km2 evade functionally all terrestrial CO2 entering from upstream, precluding further downstream transport. We conclude that lakes are important for soil CO2 degassing and that this coupled river/lake approach is promising for CO2 studies henceforth.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020. American Geophysical Union. All Rights Reserved. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | biogeochemistry; CO2; greenhouse gas; hydrology; river network; streamflow routing |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > River Basin Processes & Management (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Oct 2022 15:45 |
Last Modified: | 28 Oct 2022 15:45 |
Status: | Published |
Publisher: | American Geophysical Union (AGU) |
Identification Number: | 10.1029/2020gl090068 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:192279 |