A - Papers appearing in refereed journals
Wu, D., Well, R., Cardenas, L. M., Fuss, R., Lewicka-Szczebak, D., Koster, J., Bruggemann, N. and Bol, R. 2019. Quantifying N2O reduction to N2 during denitriﬁcation in soils via isotopic mapping approach: Model evaluation and uncertainty analysis . Environmental Research. 179 (A), p. 108806.
|Authors||Wu, D., Well, R., Cardenas, L. M., Fuss, R., Lewicka-Szczebak, D., Koster, J., Bruggemann, N. and Bol, R.|
The last step of denitriﬁcation, i.e. the reduction of N2O to N2, has been intensively studied in the laboratory to understand the denitriﬁcation process, predict nitrogen fertiliser losses, and to establish mitigation strategies for N2O.However, assessing N2 production via denitriﬁcation at large spatial scales is still not possible due to lack of reliable quantitative approaches. Here, we present a novel numerical “mapping approach” model using the δ15Nsp/δ18O slope that has been proposed to potentially be used to indirectly quantify N2O reduction to N2 at ﬁeld or larger spatial scales. We evaluate the model using data obtained from seven independent soil incubation studies conducted under a He–O2 atmosphere. Furthermore, we analyse the contribution of diﬀerent parameters to the uncertainty of the model. The model performance strongly diﬀered between studies and incubation conditions. Re-evaluation of the previous data set demonstrated that using soils-speciﬁc instead of default endmember values could largely improve model performance. Since the uncertainty of modelled N2O reduction was relatively high, further improvements to estimate model parameters to obtain more precise estimations remain an on-going matter, e.g. by determination of soil-speciﬁc isotope fractionation factors and isotopocule endmember values of N2O production processes using controlled laboratory incubations. The applicability of the mapping approach model is promising with an increasing availability of real-time and ﬁeld based analysis of N2O isotope signatures.
|Keywords||Denitriﬁcation; N2O reduction; N2; Isotopic model|
|Year of Publication||2019|
|Journal citation||179 (A), p. 108806|
|Digital Object Identifier (DOI)||doi:10.1016/j.envres.2019.108806|
|Open access||Published as non-open access|
|Funder||Biotechnology and Biological Sciences Research Council|
|Funder project or code||S2N - Soil to Nutrition - Work package 2 (WP2) - Adaptive management systems for improved efficiency and nutritional quality|
|Online||10 Oct 2019|
|Publication process dates|
|Accepted||06 Oct 2019|
|Publisher||Academic Press Inc Elsevier Science|
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