Aim of the research Gas transport in soils is highly variable in space and time leading to modulations of gas fluxes at the soil-atmosphere interface that must be understood Controlled experimental conditions
Modulations of advective gas fluxes at the soil-atmosphere interface were investigated using an enhanced experimental setup developed to perform tracer gas percolation experiments through unsaturated soil columns under well-controlled conditions associated with long-term and high-resolution monitoring. The setup design includes the effect of watering and evaporation cycles, barometric pressure fluctuations, variations in the injection pressure, and plant metabolism. Although injected at a constant flux at the base of the columns, SF 6 surface fluxes varied on a timescale of hours to days. These modulations are controlled by (a) barometric pressure, (b) water content and distribution, and (c) plant metabolism. All three mainly act on the pressure gradient. Surface gas fluxes decrease under drying conditions, which increases gas porosity and the relative gas permeability and lowers the pressure gradient. Respiration of plant roots is shown to be responsible for daytime-nighttime oscillations of the tracer flux. During nighttime, O 2 consumption and CO 2 production locally lowers the pressure gradient up to the root zone due to the higher solubility of CO 2 in pore water, resulting in an increased SF 6 flux at the surface. During daytime, enhanced water loss by evapotranspiration associated with photosynthesis dominated the respiration effect and resulted in decreasing surface gas fluxes, as generally shown for drying conditions. Surface gas fluxes are therefore controlled by combined physical, chemical, and biological processes. This has important consequences, notably when discrete flux measurements are integrated in space and/or in time to quantify emissions or when used for detecting, identifying, or monitoring underground gas sources. Abbreviations: CEREEP, Centre de Recherche en Écologie Expérimentale et Prédictive; HDPE, high-density polyethylene; ROI, region of interest. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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