Contribution of gas concentration and transfer velocity to CO2 flux variability in northern lakes

Author:

Rudberg David1ORCID,Schenk Jonathan1ORCID,Pajala Gustav1ORCID,Sawakuchi Henrique1ORCID,Sieczko Anna1ORCID,Sundgren Ingrid1,Duc Nguyen Thanh1,Karlsson Jan2ORCID,MacIntyre Sally34,Melack John34ORCID,Bastviken David1ORCID

Affiliation:

1. Department of Thematic Studies—Environmental Change Linköping University Linköping Sweden

2. Climate Impacts Research Centre, Department of Ecology and Environmental Sciences Umeå University Umeå Sweden

3. Department of Ecology, Evolution and Marine Biology University of California Santa Barbara California USA

4. Earth Research Institute University of California Santa Barbara California USA

Abstract

AbstractThe CO2 flux () from lakes to the atmosphere is a large component of the global carbon cycle and depends on the air–water CO2 concentration gradient (ΔCO2) and the gas transfer velocity (k). Both ΔCO2 and k can vary on multiple timescales and understanding their contributions to is important for explaining variability in fluxes and developing optimal sampling designs. We measured and ΔCO2 and derived k for one full ice‐free period in 18 lakes using floating chambers and estimated the contributions of ΔCO2 and k to variability. Generally, k contributed more than ΔCO2 to short‐term (1–9 d) variability. With increased temporal period, the contribution of k to variability decreased, and in some lakes resulted in ΔCO2 contributing more than k to variability over the full ice‐free period. Increased contribution of ΔCO2 to variability over time occurred across all lakes but was most apparent in large‐volume southern‐boreal lakes and in deeper (> 2 m) parts of lakes, whereas k was linked to variability in shallow waters. Accordingly, knowing the variability of both k and ΔCO2 over time and space is needed for accurate modeling of from these variables. We conclude that priority in assessments should be given to direct measurements of at multiple sites when possible, or otherwise from spatially distributed measurements of ΔCO2 combined with k‐models that incorporate spatial variability of lake thermal structure and meteorology.

Funder

Svenska Forskningsrådet Formas

H2020 European Research Council

Vetenskapsrådet

National Science Foundation

Knut och Alice Wallenbergs Stiftelse

Publisher

Wiley

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