Abstract

Abstract. The closed chamber technique is widely used to measure the exchange of methane (CH4) and carbon dioxide (CO2) from terrestrial ecosystems. There is, however, large uncertainty about which model should be used to calculate the gas flux from the measured gas concentrations. Due to experimental uncertainties the simple linear regression model (first-order polynomial) is often applied, even though theoretical considerations of the technique suggest the application of other, curvilinear models. High-resolution automatic chamber systems which sample gas concentrations several hundred times per flux measurement make it possible to resolve the curvilinear behavior and study the information imposed by the natural variability of the temporal concentration changes. We used more than 50 000 such flux measurements of CH4 and CO2 from five field sites located in peat-forming wetlands ranging from 56 to 78° N to quantify the typical differences between flux estimates of different models. In addition, we aimed to assess the curvilinearity of the concentration time series and test the general applicability of curvilinear models. Despite significant episodic differences between the calculated flux estimates, the overall differences are generally found to be smaller than the local flux variability on the plot scale. The curvilinear behavior of the gas concentrations within the chamber is strongly influenced by wind-driven chamber leakage, and less so by changing gas concentration gradients in the soil during chamber closure. Such physical processes affect both gas species equally, which makes it possible to isolate biochemical processes affecting the gases differently, such as photosynthesis limitation by chamber headspace CO2 concentrations under high levels of incoming solar radiation. We assess the possibility to exploit this effect for a partitioning of the net CO2 flux into photosynthesis and ecosystem respiration as an example of how high-resolution automatic chamber measurements could be used for purposes beyond the estimation of the net gas flux. This shows that while linear and curvilinear calculation schemes can provide similar net fluxes, only curvilinear models open additional possibilities for high-resolution automatic chamber measurements.

Highlights

  • To understand the role of wetlands within the global carbon cycle, accurate estimations of the fluxes of methane (CH4) and carbon dioxide (CO2) between the surface and the atmosphere are essential (McGuire et al, 2012)

  • There are, clear spikes in the non-steady-state diffusive flux estimator (NDFE) flux estimate which lead to a significantly higher temporal variability compared to both reference and exponential flux estimates

  • This unrealistic CH4 flux pattern of the NDFE model suggests a violation of the underlying assumption of the model, i.e., that curvature cannot generally be attributed to the altered gas concentration gradient in the soil profile

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Summary

Introduction

To understand the role of wetlands within the global carbon cycle, accurate estimations of the fluxes of methane (CH4) and carbon dioxide (CO2) between the surface and the atmosphere are essential (McGuire et al, 2012). The resulting time series of gas concentration measurements makes it possible to estimate the surface–atmosphere exchange with the plot on which the chamber was installed. This is often done using first-order polynomial linear regression, even though the change in gas concentration might be curvilinear. N. Pirk et al.: Chamber flux calculations can lead to the development of the curvilinear change in the concentration. The increase of temperature and humidity inside the closed chamber can affect biological processes (e.g., increase respiration, decrease photosynthesis) as well as the gas concentration measurements, which can lead to an apparent saturation of the increase. The same is true for the extraction of gas samples for analysis, and leaks in the chamber construction or installation by which enclosed air can mix with ambient air

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