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...
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ftdoajarticles:oai:doaj.org/article:f416e97432184b5f86208e4257a63fac 2023-05-15T17:44:36+02:00 Landscape process domains drive patterns of CO2 evasion from river networks Gerard Rocher‐Ros Ryan A. Sponseller William Lidberg Carl‐Magnus Mörth Reiner Giesler 2019-08-01T00:00:00Z https://doi.org/10.1002/lol2.10108 https://doaj.org/article/f416e97432184b5f86208e4257a63fac EN eng Wiley https://doi.org/10.1002/lol2.10108 https://doaj.org/toc/2378-2242 2378-2242 doi:10.1002/lol2.10108 https://doaj.org/article/f416e97432184b5f86208e4257a63fac Limnology and Oceanography Letters, Vol 4, Iss 4, Pp 87-95 (2019) Oceanography GC1-1581 article 2019 ftdoajarticles https://doi.org/10.1002/lol2.10108 2022-12-31T13:03:06Z 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. Article in Journal/Newspaper Northern Sweden Directory of Open Access Journals: DOAJ Articles Limnology and Oceanography Letters 4 4 87 95 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Oceanography GC1-1581 |
spellingShingle |
Oceanography GC1-1581 Gerard Rocher‐Ros Ryan A. Sponseller William Lidberg Carl‐Magnus Mörth Reiner Giesler Landscape process domains drive patterns of CO2 evasion from river networks |
topic_facet |
Oceanography GC1-1581 |
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. |
format |
Article in Journal/Newspaper |
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 |
title |
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_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_sort |
landscape process domains drive patterns of co2 evasion from river networks |
publisher |
Wiley |
publishDate |
2019 |
url |
https://doi.org/10.1002/lol2.10108 https://doaj.org/article/f416e97432184b5f86208e4257a63fac |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_source |
Limnology and Oceanography Letters, Vol 4, Iss 4, Pp 87-95 (2019) |
op_relation |
https://doi.org/10.1002/lol2.10108 https://doaj.org/toc/2378-2242 2378-2242 doi:10.1002/lol2.10108 https://doaj.org/article/f416e97432184b5f86208e4257a63fac |
op_doi |
https://doi.org/10.1002/lol2.10108 |
container_title |
Limnology and Oceanography Letters |
container_volume |
4 |
container_issue |
4 |
container_start_page |
87 |
op_container_end_page |
95 |
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1766146845240721408 |