Umfang:
Online-Ressource
ISSN:
1726-4189
Inhalt:
Abstract N) emissions, the DeNitrification DeCompostion (DNDC) model, with a function taking into account soil copper (Cu) contamination in nitrate production control. Then, we aimed at using this model to predict N 2 O - N, NO 2 - N, NO - N and NH 4 - N emissions in the presence of contamination and in the context of changes in precipitations. Initial incubations of soils were performed at different soil moisture levels in order to mimic expected rainfall patterns during the next decades and in particular drought and excess of water. Then, a bioassay was used in the absence or presence of Cu to assess the effect of the single (moisture) or double stress (moisture and Cu) on soil nitrate production. Data of nitrate production obtained through a gradient of Cu under each initial moisture incubation were used to parameterise the DNDC model and to estimate soil N emission considering the various effects of Cu. Whatever the initial moisture incubation, experimental results showed a NO 3 - N decreasing production when Cu was added but depending on soil moisture. The DNDC-Cu version we proposed was able to reproduce these observed Cu effects on soil nitrate concentration with r 2 〉 〈 Cu calibration range (〉 Cu effect inducing an increase in NH 4 - N soil concentration and emissions due to a reduced nitrification activity and therefore a decrease in NO 3 - N, N 2 O - N and NO x N concentrations and emissions. The effect of added Cu predicted by the model was larger on N 2 N and N 2 O - N emissions than on the other N species and larger for the soils incubated under constant than variable moisture. Our work shows that soil contamination can be considered in continental biogeochemical models to better predict soil greenhouse gas emissions.
In:
volume:19
In:
number:12
In:
year:2022
In:
pages:2953-2968
In:
extent:16
In:
Biogeosciences, Katlenburg-Lindau [u.a.] : Copernicus, 2004-, 19, Heft 12 (2022), 2953-2968 (gesamt 16), 1726-4189
Sprache:
Englisch
DOI:
10.5194/bg-19-2953-2022
URN:
urn:nbn:de:101:1-2022062305215891892405
URL:
https://doi.org/10.5194/bg-19-2953-2022
URL:
https://nbn-resolving.org/urn:nbn:de:101:1-2022062305215891892405
URL:
https://d-nb.info/126063812X/34
URL:
https://bg.copernicus.org/articles/19/2953/2022/bg-19-2953-2022.pdf
URL:
https://bg.copernicus.org/articles/19/2953/2022/