The results show high correlation between three EC and SR fluxes (H, LE and Fc) when they are compared for all atmospheric stability conditions (R2 > 0.87). Some overestimation is observed for SR with respect to EC fluxes, similar to the findings of Castellvi et al. (2008) for rangeland grass. For all the data, SR analysis results were about 9%, 7% and 18% higher than the EC results for H, LE and Fc, respectively. These higher flux estimates resulted in better energy balance closure. Fm estimates demonstrate more scatter between the two methods, so for a preliminary investigation we focus on positive flux only. The SR estimation of positive Fm under all atmospheric conditions showed a similar trend but more scatter when compared to EC results (R2=0.59). This reduced correlation may be the consequence of different transport mechanisms for this gas that are not well captured by SR technique these effects may include the bursts of concentration from ebullition and different convection relationships for the relatively light CH4 molecule. More research should be done to address the potential of SR in Fm estimation as there are no previous results reported on this topic and the benefits of SR could reduce time series gaps and lower flux uncertainty for this environmentally important scalar.