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N2O isotope approaches for source partitioning of N2O production and estimation of N2O reduction - validation with 15N gas-flux method in laboratory and field studies.
- Source :
- Biogeosciences Discussions; 6/11/2020, p1-45, 45p
- Publication Year :
- 2020
-
Abstract
- The approaches based on natural abundance N<subscript>2</subscript>O stable isotopes are often applied for the estimation of mixing proportions between various N<subscript>2</subscript>O producing pathways as well as for estimation of the extent of N<subscript>2</subscript>O reduction to N<subscript>2</subscript>. But such applications are associated with numerous uncertainties and hence their limited accuracy needs to be considered. Here we present the first systematic validation of these methods for laboratory and field studies applying the <superscript>15</superscript>N gas-flux method as the reference approach. Besides applying dual isotope plots for interpretation of N<subscript>2</subscript>O isotopic data, for the first time we propose a three dimensional N<subscript>2</subscript>O isotopocule model based on Bayesian statistics to estimate the N<subscript>2</subscript>O mixing proportions and reduction extent based simultaneously on three N<subscript>2</subscript>O isotopic signatures (δ<superscript>15</superscript>N, δ<superscript>15</superscript>N<superscript>SP</superscript> and δ<superscript>18</superscript>O). Determination of mixing proportions of individual pathways with N<subscript>2</subscript>O isotopic approaches appears often imprecise, mainly due to imperfect isotopic separation of the particular pathways. Nevertheless, the estimation of N<subscript>2</subscript>O reduction is much more robust, when applying optimal calculation strategy, reaching typically accuracy of N<subscript>2</subscript>O residual fraction determination of about 0.1. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18106277
- Database :
- Complementary Index
- Journal :
- Biogeosciences Discussions
- Publication Type :
- Academic Journal
- Accession number :
- 143717485
- Full Text :
- https://doi.org/10.5194/bg-2020-209