Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.480
IF 5-year value: 4.194
IF 5-year
CiteScore value: 6.7
SNIP value: 1.143
IPP value: 3.65
SJR value: 1.761
Scimago H <br class='widget-line-break'>index value: 118
Scimago H
h5-index value: 60
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Oct 2020

14 Oct 2020

Review status
This preprint is currently under review for the journal BG.

Forest-atmosphere exchange of reactive nitrogen in a low polluted area – temporal dynamics and annual budgets

Pascal Wintjen1, Frederik Schrader1, Martijn Schaap2,3, Burkhard Beudert4, and Christian Brümmer1 Pascal Wintjen et al.
  • 1Thünen Institute of Climate-Smart Agriculture, Bundesallee 68, 38116, Braunschweig, Germany
  • 2TNO, Climate Air and Sustainability, Utrecht, 3584 CB, the Netherlands
  • 3Institute of Meteorology, Freie Universität Berlin, 12165 Berlin, Germany
  • 4Bavarian Forest National Park, 94481, Grafenau, Germany

Abstract. Accurate modeling of nitrogen deposition is essential for identifying exceedances of critical loads and designing effective mitigation strategies. However, there are still uncertainties in modern deposition routines due to a limited availability of long-term flux measurements of reactive nitrogen compounds for model development and validation. In this study, we investigate the performance of dry deposition inferential models with regard to annual budgets and the exchange patterns of total reactive nitrogen (ΣNr) at a low-polluted mixed forest located in the Bavarian Forest National Park (NPBW), Germany. Flux measurements of ΣNr were carried out with a Total Reactive Atmospheric Nitrogen Converter (TRANC) coupled to a chemiluminescence dectector (CLD) for 2.5 years. Average ΣNr concentration was approximately 5.2 ppb. Denuder measurements with DELTA samplers and chemiluminescence measurements of nitrogen oxides (NOx) have shown that NOx has the highest contribution to ΣNr (~52%), followed by ammonia (NH3) (~ 22 %), ammonium (NH4+) (~ 14 %), nitrate NO3 (~ 7 %), and nitric acid (HNO3) (~ 6 %). We observed mostly deposition fluxes at the measurement site with median fluxes ranging from −15 ng N m−2 s−1 to −5 ng N m−2 s−1 (negative fluxes indicate deposition). In general, highest deposition was recorded from May to September. ΣNr deposition was enhanced by higher temperatures, lower relative humidity, high ΣNr concentration, and dry leaf surfaces. Our results suggest that dry conditions seem to favour nitrogen dry deposition at natural ecosystems. For determining annual dry deposition budgets we used the bidirectional inferential scheme DEPAC (DEPosition of Acidifying Compounds) with locally measured input parameters, called DEPAC-1D, as gap-filling strategy for TRANC measurements. In a second approach, the mean-diurnal-variation method (MDV) was applied to gaps of up to five days whereas DEPAC-1D was used for remaining gaps. We compared them to results from the chemical transport model LOTOS-EUROS (LOng Term OzoneSimulation – EURopean Operational Smog) v2.0 and from the canopy budget technique conducted at the measurement site. After 2.5 years, dry deposition based on TRANC measurements resulted in (11.1 ± 3.4) kg N ha−1 with DEPAC-1D as gap-filling method and (10.9 ± 3.8) kg N ha−1 with MDV and DEPAC-1D as gap-filling methods. Both values are close to dry deposition by DEPAC-1D (13.6 kg N ha−1) considering the uncertainties of measured fluxes and possible uncertainty sources of DEPAC-1D. The difference of DEPAC-1D to TRANC can be related to parameterizations of reactive gases or the missing exchange path with soil. 16.8 kg N ha−1 deposition were calculated by LOTOS-EUROS for considering land-use class weighting. We further showed that predicted NH3 concentrations, an input parameter of LOTOS-EUROS, were the main reason for the discrepancyin dry deposition budgets between the different methods. On average, annual TRANC dry deposition was 4.5 kg N ha−1 a−1 for both gap-filling approaches, DEPAC-1D showed 5.3 kg N ha−1 a−1, and LOTOS-EUROS modeled 5.2 kg N ha−1 a−1 to 6.9 kg N ha−1 a−1 depending on the weighting of land-use classes within the site's grid cell. 7.5 kg N ha−1 a−1 was estimated with the canopy budget technique for the period from 2016 to 2018 as upper estimate and 4.6 kg N ha−1 a−1 as lower estimate. Our findings provide a better understanding of exchange dynamics occurring at low-polluted, natural ecosystems and show opportunities for further development of deposition models.

Pascal Wintjen et al.

Interactive discussion

Status: open (until 25 Nov 2020)
Status: open (until 25 Nov 2020)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Pascal Wintjen et al.

Pascal Wintjen et al.


Total article views: 146 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
114 29 3 146 2 2
  • HTML: 114
  • PDF: 29
  • XML: 3
  • Total: 146
  • BibTeX: 2
  • EndNote: 2
Views and downloads (calculated since 14 Oct 2020)
Cumulative views and downloads (calculated since 14 Oct 2020)

Viewed (geographical distribution)

Total article views: 105 (including HTML, PDF, and XML) Thereof 105 with geography defined and 0 with unknown origin.
Country # Views %
  • 1



No saved metrics found.


No discussed metrics found.
Latest update: 25 Oct 2020
Publications Copernicus
Short summary
Eddy covariance flux measurements of total reactive nitrogen (∑Nr) over a low polluted forest were compared to in-situ modeled fluxes, results from a large-scale chemical transport model (CTM), and canopy outflow measurements. Annual dry deposition budgets after 2.5 years of measurements ranged from 4.5 to 7.5 kg N ha−1 a−1, depending on the applied method. Modeled NH3 concentrations were found to be the primary contributor to a mismatch between measured ∑Nr fluxes and those modeled with a CTM.
Eddy covariance flux measurements of total reactive nitrogen (∑Nr) over a low polluted forest...