Continuous data of soil CO₂ efflux can improve model prediction of climate warming, and automated data are becoming increasingly available. However, aggregating chamber-based data to plot scale pose challenges. Therefore, we showed, using 1 year of half-hourly data, how using the lognormal assumption tackles several challenges. We propose that plot-scale SO₂ efflux observations should be reported together with lognormally based uncertainties and enter model constraining frameworks at log scale.