Reactive nitrogen fluxes over peatland and forest ecosystems using micrometeorological measurement techniques

[摘要] Interactions of reactive nitrogen (N r ) compoundsbetween the atmosphere and the earth's surface play a key role inatmospheric chemistry and in understanding nutrient cycling of terrestrialecosystems. While continuous observations of inert greenhouse gases throughmicrometeorological flux measurements have become a common procedure,information about temporal dynamics and longer-term budgets of N r compounds is still extremely limited. Within the framework of the researchprojects NITROSPHERE and FORESTFLUX, field campaigns were carried out toinvestigate the biosphere–atmosphere exchange of selected N r compoundsover different land surfaces. The aim of the campaigns was to test andestablish novel measurement techniques in eddy-covariance setups forcontinuous determination of surface fluxes of ammonia (NH 3 ) and totalreactive nitrogen ( Σ N r ) using two different analytical devices.While high-frequency measurements of NH 3 were conducted with a quantumcascade laser (QCL) absorption spectrometer, a custom-built converter calledTotal Reactive Atmospheric Nitrogen Converter (TRANC) connected and operatedupstream of a chemiluminescence detector (CLD) was used for the measurementof Σ N r . As high-resolution data of N r surface–atmosphereexchange are still scarce but highly desired for testing and validatinglocal inferential and larger-scale models, we provide access to campaigndata including concentrations, fluxes, and ancillary measurements ofmeteorological parameters. Campaigns ( n =4 ) were carried out in natural(forest) and semi-natural (peatland) ecosystem types. The published datasetsstress the importance of recent advancements in laser spectrometry and helpimprove our understanding of the temporal variability of surface–atmosphereexchange in different ecosystems, thereby providing validation opportunitiesfor inferential models simulating the exchange of reactive nitrogen. Thedataset has been placed in the Zenodo repository ( https://doi.org/10.5281/zenodo.4513854 ; Brümmer et al., 2022) andcontains individual data files for each campaign.

[学科分类] 眼科学