Landscape process domains drive patterns of CO2 evasion from river networks
Abstract Streams are important emitters of CO2 but extreme spatial variability in their physical properties can make upscaling very uncertain. Here, we determined critical drivers of stream CO2 evasion at scales from 30 to 400 m across a 52.5 km2 catchment in northern Sweden. We found that turbulent...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-08-01
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| Series: | Limnology and Oceanography Letters |
| Online Access: | https://doi.org/10.1002/lol2.10108 |
| _version_ | 1831772674411462656 |
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| author | Gerard Rocher‐Ros Ryan A. Sponseller William Lidberg Carl‐Magnus Mörth Reiner Giesler |
| author_facet | Gerard Rocher‐Ros Ryan A. Sponseller William Lidberg Carl‐Magnus Mörth Reiner Giesler |
| author_sort | Gerard Rocher‐Ros |
| collection | DOAJ |
| description | Abstract Streams are important emitters of CO2 but extreme spatial variability in their physical properties can make upscaling very uncertain. Here, we determined critical drivers of stream CO2 evasion at scales from 30 to 400 m across a 52.5 km2 catchment in northern Sweden. We found that turbulent reaches never have elevated CO2 concentrations, while less turbulent locations can potentially support a broad range of CO2 concentrations, consistent with global observations. The predictability of stream pCO2 is greatly improved when we include a proxy for soil‐stream connectivity. Catchment topography shapes network patterns of evasion by creating hydrologically linked “domains” characterized by high water‐atmosphere exchange and/or strong soil‐stream connection. This template generates spatial variability in the drivers of CO2 evasion that can strongly bias regional and global estimates. To overcome this complexity, we provide the foundations of a mechanistic framework of CO2 evasion by considering how landscape process domains regulate transfer and supply. |
| first_indexed | 2024-12-22T08:22:33Z |
| format | Article |
| id | doaj.art-f416e97432184b5f86208e4257a63fac |
| institution | Directory Open Access Journal |
| issn | 2378-2242 |
| language | English |
| last_indexed | 2024-12-22T08:22:33Z |
| publishDate | 2019-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Limnology and Oceanography Letters |
| spelling | doaj.art-f416e97432184b5f86208e4257a63fac2022-12-21T18:32:44ZengWileyLimnology and Oceanography Letters2378-22422019-08-0144879510.1002/lol2.10108Landscape process domains drive patterns of CO2 evasion from river networksGerard Rocher‐Ros0Ryan A. Sponseller1William Lidberg2Carl‐Magnus Mörth3Reiner Giesler4Climate Impacts Research Centre, Department of Ecology and Environmental Science Umeå University Abisko SwedenClimate Impacts Research Centre, Department of Ecology and Environmental Science Umeå University Abisko SwedenDepartment of Forest Ecology and Management Swedish University of Agricultural Science Umeå SwedenDepartment of Geological Sciences Stockholm University Stockholm SwedenClimate Impacts Research Centre, Department of Ecology and Environmental Science Umeå University Abisko SwedenAbstract Streams are important emitters of CO2 but extreme spatial variability in their physical properties can make upscaling very uncertain. Here, we determined critical drivers of stream CO2 evasion at scales from 30 to 400 m across a 52.5 km2 catchment in northern Sweden. We found that turbulent reaches never have elevated CO2 concentrations, while less turbulent locations can potentially support a broad range of CO2 concentrations, consistent with global observations. The predictability of stream pCO2 is greatly improved when we include a proxy for soil‐stream connectivity. Catchment topography shapes network patterns of evasion by creating hydrologically linked “domains” characterized by high water‐atmosphere exchange and/or strong soil‐stream connection. This template generates spatial variability in the drivers of CO2 evasion that can strongly bias regional and global estimates. To overcome this complexity, we provide the foundations of a mechanistic framework of CO2 evasion by considering how landscape process domains regulate transfer and supply.https://doi.org/10.1002/lol2.10108 |
| spellingShingle | Gerard Rocher‐Ros Ryan A. Sponseller William Lidberg Carl‐Magnus Mörth Reiner Giesler Landscape process domains drive patterns of CO2 evasion from river networks Limnology and Oceanography Letters |
| title | Landscape process domains drive patterns of CO2 evasion from river networks |
| title_full | Landscape process domains drive patterns of CO2 evasion from river networks |
| title_fullStr | Landscape process domains drive patterns of CO2 evasion from river networks |
| title_full_unstemmed | Landscape process domains drive patterns of CO2 evasion from river networks |
| title_short | Landscape process domains drive patterns of CO2 evasion from river networks |
| title_sort | landscape process domains drive patterns of co2 evasion from river networks |
| url | https://doi.org/10.1002/lol2.10108 |
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