Carbon dioxide dynamics in an agricultural headwater stream driven by hydrology and primary production



Wallin, Marcus B, Audet, Joachim, Peacock, Mike ORCID: 0000-0002-3086-2854, Sahlee, Erik and Winterdahl, Mattias
(2020) Carbon dioxide dynamics in an agricultural headwater stream driven by hydrology and primary production. BIOGEOSCIENCES, 17 (9). pp. 2487-2498.

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Abstract

<jats:p>Abstract. Headwater streams are known to be hotspots for carbon dioxide (CO2) emissions to the atmosphere and are hence important components in landscape carbon balances. However, surprisingly little is known about stream CO2 dynamics and emissions in agricultural settings, a land use type that globally covers ca. 40 % of the continental area. Here we present hourly measured in situ stream CO2 concentration data from a 11.3 km2 temperate agricultural headwater catchment covering more than 1 year (in total 339 d excluding periods of ice and snow cover). The stream CO2 concentrations during the entire study period were generally high (median 3.44 mg C L−1, corresponding to partial pressures (pCO2) of 4778 µatm) but were also highly variable (IQR = 3.26 mg C L−1). The CO2 concentration dynamics covered a variety of different timescales from seasonal to hourly, with an interplay of hydrological and biological controls. The hydrological control was strong (although with both positive and negative influences dependent on season), and CO2 concentrations changed rapidly in response to rainfall and snowmelt events. However, during growing-season base flow and receding flow conditions, aquatic primary production seemed to control the stream CO2 dynamics, resulting in elevated diel patterns. During the dry summer period, rapid rewetting following precipitation events generated high CO2 pulses exceeding the overall median level of stream CO2 (up to 3 times higher) observed during the whole study period. This finding highlights the importance of stream intermittency and its effect on stream CO2 dynamics. Given the observed high levels of CO2 and its temporally variable nature, agricultural streams clearly need more attention in order to understand and incorporate these considerable dynamics in large-scale extrapolations. </jats:p>

Item Type: Article
Divisions: Faculty of Science and Engineering > School of Environmental Sciences
Depositing User: Symplectic Admin
Date Deposited: 01 Aug 2022 15:16
Last Modified: 27 Oct 2023 18:45
DOI: 10.5194/bg-17-2487-2020
Open Access URL: https://bg.copernicus.org/articles/17/2487/2020/
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3160089