Preprints
https://doi.org/10.5194/bg-2021-265
https://doi.org/10.5194/bg-2021-265

  03 Nov 2021

03 Nov 2021

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

To what extend can soil moisture and soil contamination stresses affect greenhouse gas emissions? An attempt to calibrate a nitrification/denitrification model

Laura Sereni1, Bertrand Guenet2, Charlotte Blasi1,a, Olivier Crouzet1,b, Jean-Christophe Lata3,4, and Isabelle Lamy1 Laura Sereni et al.
  • 1Université Paris-Saclay, INRAE, AgroParisTech, UMR ECOSYS, Ecotoxicology Team, 78026, Versailles, France
  • 2Laboratoire de Géologie de l’ENS, PSL Research University, CNRS, UMR 8538, IPSL, Paris, France
  • 3Sorbonne Université, Université de Paris, UPEC, CNRS, INRAE, IRD, UMR 7618, Institute of Ecology and Environmental Sciences – Paris, iEES Paris, 7 quai St Bernard 75252, Paris, France
  • 4Department of Geoecology and Geochemistry, Institute of Natural Resources, Tomsk Polytechnic University, 30, Lenin Street, Tomsk, 634050, Russia
  • apresent address: Centre Sève, Département de Chimie, Université de Sherbrooke, Sherbrooke, QC, Canada
  • bpresent address: Office national de la chasse et de la faune sauvage, Site d’Auffargis-Saint-Benoist 78612 Le-Perray-en-Yvelines, France

Abstract. Continental biogeochemical models are commonly used to prospect the effect of land use, exogenous organic matter input or climate change on soil greenhouse gas emission. However, they can still not be used to investigate the effect of soil contamination while it is known to affect several soil processes and to concern a large fraction of land surface. We implemented a commonly used model estimating soil nitrogen (N) emission, the DeNitrification DeCompostion (DNDC) model, with a function taking into account soil copper (Cu) contamination in nitrate production modulation. Then, we aimed at using this model to predict N-N2O, N-NO2 NOx and N-NH4 emissions in the presence of contamination and in the context of changes in precipitations. For that, incubations of soils were performed at different soil moistures in order to mimic expected rainfall patterns during the next decades and in particular drought and excess of water. The effect of this double stress on soil nitrate production was studied using a bio-assay. Then, data of nitrate production obtained under each moisture treatment were used to parameterize the DNDC model and estimate soil N emission considering the various effect of Cu. Whatever the moisture preincubation, experimental results showed a N-NO3 decreasing production when Cu was added but with different sharpness depending on soil moisture. The DNDC-Cu version we proposed was able to reproduce these observed Cu effects on soil nitrate concentration with r2 > 0.99 and RMSE < 10 % for all treatments in the DNDC-Cu calibration range (> 40 % of the water holding capacity) but showed poor performances for the dry treatments. We modelled a Cu-effect inducing an increase in N-NH4 soil concentration and emissions due to a reduced nitrification activity, and therefore a decrease in N-NO3, N-N2O and N-NOx concentrations and emissions. The effect of added Cu was larger on N-N2 and N-N2O emissions than on the other N species and larger for the soils incubated under constant than variable moisture.

Laura Sereni et al.

Status: open (until 19 Dec 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2021-265', Julie Zilles, 30 Nov 2021 reply

Laura Sereni et al.

Data sets

Données de réplication pour : To what extend soil moisture and contamination stresses can affect greenhouse gas emissions? An attempt to calibrate a nitrification/denitrification model Sereni Laura https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/ZUKN90

Model code and software

Données de réplication pour : To what extend soil moisture and contamination stresses can affect greenhouse gas emissions? An attempt to calibrate a nitrification/denitrification model Laura Sereni https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/ZUKN90

Laura Sereni et al.

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Latest update: 02 Dec 2021
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Short summary
This study focused on the modelisation of two important drivers of soil greenhouse gases emissions: soil contamination and soil moisture change. The aim was to include a Cu function into the soil biogeochemical model DNDC for different soil moisture condition then to estimate variation in N2O, NO2 or NOx emissions. Our results show larger effect of Cu on N2 and N2O emissions than on the other nitrogen species and higher effect for the soils incubated under constant than variable moisture.
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