Landscape process domains drive patterns of CO 2 evasion from river networks

• Published in: Limnology and Oceanography Letters
• Main Authors: Rocher‐Ros, Gerard, Sponseller, Ryan A., Lidberg, William, Mörth, Carl‐Magnus, Giesler, Reiner
• Other Authors: Svenska Forskningsrådet Formas, Vetenskapsrådet
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2019
• Subjects: Northern Sweden
• Online Access: http://dx.doi.org/10.1002/lol2.10108; https://onlinelibrary.wiley.com/doi/pdf/10.1002/lol2.10108; https://onlinelibrary.wiley.com/doi/full-xml/10.1002/lol2.10108; https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lol2.10108

Abstract Streams are important emitters of CO 2 but extreme spatial variability in their physical properties can make upscaling very uncertain. Here, we determined critical drivers of stream CO 2 evasion at scales from 30 to 400 m across a 52.5 km 2 catchment in northern Sweden. We found that turbulent reaches never have elevated CO 2 concentrations, while less turbulent locations can potentially support a broad range of CO 2 concentrations, consistent with global observations. The predictability of stream p CO 2 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 CO 2 evasion that can strongly bias regional and global estimates. To overcome this complexity, we provide the foundations of a mechanistic framework of CO 2 evasion by considering how landscape process domains regulate transfer and supply.