Current grad student Grant Adams, along with collaborators, released a new paper in Limnology and Oceanography: Methods. They conducted a series of measurements to examine whole system in situ diel denitrification estimates in experimental ditch and stream environments using a Bayesian diel N2 flux models. Model estimates revealed complex patterns that indicate fluxes may be controlled by the balance of both N2 production via denitrification and consumption driven by physical or biological processes associated with strong diel patterns in environmental conditions. Their results improve estimates of N2 flux where dynamic conditions and heterogeneity of habitats create severe diel patterns in factors controlling dissolved gas concentrations and prohibit accurate estimates of N2 flux using existing models.
All model code is available on https://github.com/rlnifong/Denitrification
Nifong, R. L., Taylor, J. M., Adams, G., Moore, M. T., & Farris, J. L. (2020). Recognizing both denitrification and nitrogen consumption improves performance of stream diel N2 flux models. Limnology and Oceanography: Methods, 18(5), 169–182. https://doi.org/10.1002/lom3.10361