Introduction
NO reduction to N is the last step of microbial denitrification, i.e. anoxic reduction of nitrate (NO to N through the following intermediates: NO NO NO NO N (Firestone and Davidson, 1989; Knowles, 1982). Commonly applied analytical techniques enable us to quantitatively analyse only the intermediate product of this process, NO, but not the final product, N. This is due to the high atmospheric N background precluding direct measurements of N emissions (Bouwman et al., 2013; Saggar et al., 2013). Hence, NO reduction to N is the least well understood N transformation and constitutes a key quantity of the N cycle, as potential significant loss of reactive N to the atmosphere. N and NO denitrification fluxes cause lowering of both plant-available N, and N leaching while NO reduction to N decreases NO fluxes (Butterbach-Bahl et al., 2013).
To overcome the problems with N quantification, three methods for N-flux estimation are applicable (Groffman, 2012; Groffman et al., 2006): direct N measurements under a N-free helium atmosphere (helium incubation method), N analyses of gas fluxes after addition of N-labelled substrate (N gas flux method), and the reduction inhibition method based on the comparison of NO fluxes with and without acetylene application (acetylene inhibition method). These methods were widely applied in laboratory studies to determine the contribution of NO reduction to N, which is usually expressed as the fraction of the residual unreduced NO: ( (: mole fraction). The whole scale of possible variations, ranging from 0 to 1, had been found in laboratory studies (Lewicka-Szczebak et al., 2015; Mathieu et al., 2006; Morse and Bernhardt, 2013; Senbayram et al., 2012). However, due to technical limitations, only the N gas flux method can be applied under field conditions to determine the (Aulakh et al., 1991; Baily et al., 2012; Bergsma et al., 2001; Decock and Six, 2013; Kulkarni et al., 2013; Mosier et al., 1986). The acetylene inhibition method is not useful for field studies due to catalytic NO decomposition in presence of CH and O (Bollmann and Conrad, 1997; Felber et al., 2012; Nadeem et al., 2013) and the helium incubation method requires a sophisticated air-tight incubation system, so far attainable only in laboratory conditions. Hence, no comprehensive data sets from field-based measurements of soil N emissions are available and this important component in the soil nitrogen budget is still missing. This constitutes a serious shortcoming in understanding and mitigating the microbial consumption of nitrogen fertilizers (Bouwman et al., 2013; Seitzinger, 2008), and the NO emission, which significantly contributes to global warming and stratospheric ozone depletion (IPCC, 2007; Ravishankara et al., 2009).
NO isotopic fractionation studies could potentially be used for quantification of under field conditions (Park et al., 2011; Toyoda et al., 2011; Zou et al., 2014). Its advantage over the N gas flux method lies in its easier and non-invasive application, lack of a need for additional fertilization, and much lower costs. This expands the application potential of the isotopic fractionation method and enables its more widespread use. This kind of study uses the isotopic analyses of the residual unreduced NO, of which three isotopic signatures can be determined: of oxygen (O), bulk nitrogen (N, and nitrogen site preference (N, i.e. the difference in N between the central and the peripheral N atom of linear NO molecules (Brenninkmeijer and Röckmann, 1999; Toyoda and Yoshida, 1999). All these three isotopic signatures (O, N and N are altered during the NO reduction process and the magnitude of the observed change depends largely on the NO residual fraction (Jinuntuya-Nortman et al., 2008; Menyailo and Hungate, 2006; Ostrom et al., 2007; Well and Flessa, 2009a). Hence, principally, this fraction can be calculated from the isotopic enrichment of the residual NO, provided that the isotopic signature of the initially produced NO before reduction ( and the net isotope effect associated with NO reduction ( are known (Lewicka-Szczebak et al., 2014). N and O values depend largely on the isotopic signatures of the NO precursors, i.e. of NH, NO, NO, and HO, and on the transformation pathways such as nitrification or denitrification (Perez et al., 2006). N values, however, are independent of the precursors, but differ according to different pathways, e.g. nitrification or denitrification (Sutka et al., 2006), and different microbial communities, e.g. bacterial or fungal denitrifiers (Rohe et al., 2014; Sutka et al., 2008) involved in the NO production. Therefore, values may vary between different soils and due to different conditions, e.g. moisture, temperature, fertilization. values are variable depending on experimental conditions, but these variations are largest for O and N, whereas for N, quite stable values in the range from 7.7 to 2.3 ‰ with an average of 5.4 1.6 ‰ have been found (Lewicka-Szczebak et al., 2014). Moreover, recently this value has been confirmed under oxic atmosphere (Lewicka-Szczebak et al., 2015); hence, it can be expected that N values can be applied as a robust basis to calculate NO reduction for field studies.
However, some open questions still remain: (i) are the isotopic fractionation factors for denitrification processes determined in laboratory experiments transferable to field conditions? (ii) How robustly can the NO residual fraction be determined? (iii) Is the quantification of the entire nitrogen loss due to denitrification possible? In this study we present a validation of the calculations based on the NO isotopic fractionation performed in laboratory experiments. Two different reference methods for quantification of NO reduction were applied: incubation in a N-free helium atmosphere and the N gas flux method. Helium incubations allow for simultaneous determination of the NO isotopic signature and the from the same incubation vessel (Lewicka-Szczebak et al., 2015), whereas in N gas flux experiments, parallel incubations of N-labelled and natural abundance treatments are necessary. Nevertheless, N-labelled treatments provide additional information on the coexisting NO-forming processes (Müller et al., 2014), which might possibly impact the NO isotopic signatures. Therefore, here we have applied both methods for the same pair of very different soils, a mineral arable and an organic grassland soil, aiming at a better understanding of the complex NO production and consumption in these soils. The main aims of this study were to (i) check how precisely the NO residual fraction can be calculated with the isotopic fractionation approach, (ii) identify the sources of possible bias (e.g. coexisting NO forming processes), and (iii) search for the possibilities to improve the precision and applicability of this calculation approach.
Methods
The list with explanations of all abbreviations and specific terms used in the manuscript can be found in the Supplement (Table S1).
Experimental set-ups
Experiment 1 – helium incubation as reference method (Exp 1)
Two soil types were used: a mineral arable soil with silt loam texture classified as a Haplic Luvisol (Min soil) and an organic grassland soil classified as Histic Gleysol (Org soil). The soils were air dried and sieved at 4 mm mesh size. Afterwards, the soil was rewetted to obtain 70 % water-filled pore space (WFPS) and fertilized with 50 mg N (added as NO per kilogram of soil. Then the soils were thoroughly mixed to obtain a homogenous distribution of water and fertilizer and 250 cm of wet soil were repacked into each incubation vessel with bulk densities of 1.4 g cm for the Min soil and 0.4 g cm for the Org soil. Afterwards the water deficit to the target WFPS: 70 or 80 % WFPS depending on the treatment, was added on the top of the soil. The incubations were performed using a special gas-tight incubation system allowing for application of a N-free atmosphere. This system has been described in detail by Eickenscheidt et al. (2014). Here we briefly present its general idea.
The incubation vessels were cooled to 2 C, repeatedly evacuated (to 0.047 bar), flushed with He to reduce the N background, and afterwards flushed with a continuous stream of He O for at least 60 h. When a stable and low N background (below 10 ppm) was reached, temperature was increased to 22 C. The incubation lasted 5 days, while the headspace was constantly flushed with a continuous flow of 20 % O in a helium (He–O mixture for the first 3 days and then with pure He for the following 2 days, at a flow rate of ca. 15 cm min. The fluxes of NO and N were directly analysed and the samples for NO isotopocule analyses were collected at least twice a day. The NO residual fraction was determined based on the direct measurement of NO and N fluxes.
The data from two selected samplings of this experiment have already been published, with particular emphasis on the O isotopic fractionation (experiment 2.3–2.6 in Lewicka-Szczebak et al., 2016).
Experiment 2 – N gas flux as reference method (Exp 2)
The same soils (Min soil and Org soil) as in Exp 1 were used for parallel incubations under either an anoxic (N or an oxic (78 % He 2 % N 20 % O) atmosphere with continuous gas flow at 10 cm min. The N background concentration in the oxic incubation was reduced to increase the sensitivity of the N gas flux method (Meyer et al., 2010).
The soils were air dried and sieved at 4 mm mesh size. Afterwards, the soil was rewetted to obtain a WFPS of 70 % and fertilized with 80 mg N (added as NO per kilogram of soil. Half of each soil sample was fertilized with Chile saltpeter (NaNO, Chili Borium Plus, Prills-Natural origin, supplied by Yara, Dülmen, Germany), i.e. nitrate fertilizer from atmospheric deposition ore with N at natural abundance level (NA treatment). This fertilizer was used to enable the determination of O exchange between denitrification intermediates and water based on the O anomaly of Chile saltpeter (Lewicka-Szczebak et al., 2016). The other half of the soil was fertilized with N-labelled NaNO (98 atom % N) (N treatment). Then the soils were thoroughly mixed to obtain a homogenous distribution of water and added fertilizer. A total of 500 cm of wet soil was repacked into incubation vessels with bulk densities of 1.4 g cm for the Min soil and 0.4 g cm for the Org soil. Afterwards the water deficit to the target WFPS of 75 % for Min soil and 85 % for Org soil was added on the top of the soils. Glass jars (0.8 dm J. WECK GmbH u. Co. KG, Wehr, Germany) were used with airtight rubber seals and with two three-way valves installed in their glass cover to enable continuous gas flow and sampling. The sampling vials were connected to vents of the incubation jars (Well et al., 2008) and were exchanged each 24 h. The soils were incubated for 9 days at constant temperature (22 C). During each sampling, gas samples were collected in two 12 cm Labco Exetainers® (Labco Limited, Ceredigion, UK) and for NA treatment additional samples were collected in one 120 cm crimped vials.
Chromatographic analyses
In Exp 1, online trace gas concentration analysis of N was performed with a micro gas chromatograph (Agilent Technologies, 3000 Micro GC), equipped with a thermal conductivity detector (TCD). Concentrations of trace gases were analysed by a GC (Shimadzu, Duisburg, Germany, GC–14B) equipped with an electron capture detector (ECD) for NO and CO. The measurement precision was better than 20 ppb for NO and 200 ppb for N, respectively.
In Exp 2 the samples for gas concentration analyses were collected in Labco Exetainer® (Labco Limited, Ceredigion, UK) vials and were analysed using an Agilent 7890A gas chromatograph (Agilent Technologies, Santa Clara, CA, USA) equipped with an ECD detector. Precision, as given by the standard deviation (1 of four standard gas mixtures, was typically 1.5 %.
Soil analyses
Soil water content was determined by weight loss after 24 h drying in 110 C. Soil nitrates and ammonium were extracted in 0.01 M CaCl solution ( ratio) by shaking at room temperature for 1 h, and NO and NH concentrations were determined colorimetrically with an automated analyser (Skalar Analytical B.V., Breda, the Netherlands).
Isotopic analyses in NA treatments
Isotopic signatures of NO
Gas samples were analysed using an isotope ratio mass spectrometer (Delta V, Thermo Fisher Scientific, Bremen, Germany) coupled to an automatic preparation system (Precon GC Isolink, Thermo Fisher Scientific, Bremen, Germany) where NO was pre-concentrated, separated, and purified. In the mass spectrometer, NO isotopocule values were determined by measuring 44, 45, and 46 of the intact NO ions as well as 30 and 31 of NO fragment ions. This allows the determination of average N (N, N (N of the central N position of the NO molecule), and O (Toyoda and Yoshida, 1999). N (N of the peripheral N position of the NO molecule) was calculated from N (N N and N site preference (N from N NN. The scrambling factor and O-correction were taken into account (Röckmann et al., 2003). Pure NO (Westfalengas; purity > 99.995 %) was used as internal reference gas. It had been analysed for isotopocule values in the laboratory of the Tokyo Institute of Technology using calibration procedures reported previously (Toyoda and Yoshida, 1999; Westley et al., 2007). Moreover, the standards from a laboratory intercomparison (REF1, REF2) were used for performing two-point calibration for N values (Mohn et al., 2014).
All isotopic values are expressed as ‰ deviation from the N N and O O ratios of the reference materials (i.e. atmospheric N and Vienna Standard Mean Ocean Water (V-SMOW), respectively). The analytical precision determined as standard deviation (1) of the internal standards for measurements of N, O, and N was typically 0.1, 0.1, and 0.5 ‰, respectively.
Isotopic signatures of NO
O and N of nitrate in the soil solution were determined using the bacterial denitrification method (Sigman et al., 2001). The analytical precision determined as standard deviation (1) of the international standards was typically 0.5 ‰ for O and 0.2 ‰ for N.
Soil water analyses
Soil water was extracted with the method described by Königer et al. (2011) and O of water samples was measured using a cavity ring-down spectrometer Picarro L1115- (Picarro Inc., Santa Clara, USA). The analytical precision determined as standard deviation (1 of the internal standards was below 0.1 ‰. The overall error associated with the soil water extraction method determined as standard deviation (1 of the five samples replicated was below 0.5 ‰.
Isotopic analyses in N treatments
NO and NH
N abundances of NO ( and NH ( were measured according to the procedure described in Stange et al. (2007). NO was reduced to NO by Vanadium-III-chloride (VCl and NH was oxidized to N by Hypobromide (NaOBr). NO and N were used as measurement gas. Measurements were performed with a quadrupole mass spectrometer (GAM 200, InProcess, Bremen, Germany).
NO and N
The gas samples from the N treatments of Exp 2 were analysed for 28 (NN), 29 (NN), and 30 (NN) of N using a modified GasBench II preparation system coupled to an isotope ratio mass spectrometer (MAT 253, Thermo Fisher Scientific, Bremen, Germany) according to Lewicka-Szczebak et al. (2013a). This system allows a simultaneous determination of isotope ratios R (N N and R (N/N representing three separated gas species (N, NNO, and NO), all measured as N gas after NO reduction in a Cu oven.
For each of the analysed gas species (N, NNO, and NO) the fraction originating from the N-labelled pool ( was calculated after Spott et al. (2006) as follows: where N abundance in total gas mixture is as follows. : N is the abundance of non-labelled pool (atmospheric background or experimental matrix), : N is the abundance of N-labelled pool, from which the was derived as follows: The calculation of is based on the non-random distribution of N and NO isotopologues (Spott et al., 2006) where is the fraction of N in the total gas mixture: Identical calculations are performed for each separated gas species, providing the values , , , , , and . Importantly, in our incubations under artificial atmosphere, we have no background NO, hence the N abundance of total NO ( results from the mass balance of the N abundances and sizes of the pools contributing to NO production. Because represents the N abundance of the N-labelled pool emitting NO, the value enables the distinction between NO originating from labelled NO pool ( and that from non-labelled natural abundance pools, like NH or organic N (, as follows: where 0.003663 is the fraction of N in non-labelled NO and .
Based on the determined and we can calculate as follows: where represents the mole fractions. This approach appeared to be more suitable than directly using , because (i) direct isotopic analysis of the NO was not possible in samples with low NO concentration and (ii) and were quantified in one sample based on the same method whereas includes analysis of isotope ratios of the NO peak and analysis of NO concentration by gas chromatography in a replicate gas sample, thus resulting in potential bias in due to the difficulty of collecting exactly identical replicate gas samples (Lewicka-Szczebak et al., 2013b).
Knowing we can estimate the total denitrification [N NO] flux using the measured [NO] flux and the determined as follows: Moreover, from the comparison of the or with values obtained from NO analysis of soil extracts, the contribution of hybrid N ( and NO ( can be estimated. If < this can be due to the combination of two N sources, labelled and non-labelled, to form NO or N (Spott and Stange, 2011). Hence, the fractions of three pools: non-labelled (), labelled non-hybrid () and labelled hybrid () contributing to N or NO formation were determined according to Spott and Stange (2011): The hybrid fraction, for either NO or N, is calculated as follows: and:
Co-existence of other N-transformation processes
The mineral N concentrations and N abundances allow for a quantification of the following.
- i.
formation of natural abundance NO via gross nitrification ( based on the dilution of the N-labelled NO pool, which is obtained from the initial (subscript 0) and final (subscript concentration () and N abundance () in soil nitrate (Davidson et al., 1991):
- ii.
formation of N-labelled NH, most probably due to DNRA (dissimilatory nitrate reduction to ammonium) or due to coupled immobilization-mineralization (Rutting et al., 2011), based on N mass balance of final (subscript and initial (subscript 0) ammonium concentration ( and N abundance ( in final and initial ammonium and average (of initial and final value, subscript av) N abundance in nitrate:
- iii.
mineralization () – the amount of natural abundance N which was added to the system, based on N balance, including final and initial ammonium concentration (, , nitrification (, non-labelled NO flux ( [NO] flux) and DNRA:
- iv.
nitrate immobilization () – the magnitude of N sink not explained by other processes, including final and initial nitrate concentration (, , nitrification (), total N-gas flux [NO N] flux, and DNRA:
NO isotopic fractionation to quantify NO reduction
The NO fractionation approach is based on the changes in NO isotopic signatures due to partial NO reduction to N, which alters the O, N, and N of the residual unreduced NO (. All these isotopic signatures depend on the NO residual fraction ( according to the following isotopic fractionation equations applying the closed-system Rayleigh model (Mariotti et al., 1981): In simplified, approximated form (applied only for graphical interpretations in Sect. 3.4.1), it is as follows: To be able to determine from NO isotopic values of individual samples according to Eq. (17), isotopic fractionation factors associated with NO reduction ( and initial NO isotopic signature before reduction ( must be known. We tested various experimental approaches to determine and values to check which value yields best fit between calculated and measured NO reduction, and thus to identify which of the methods to determine and is the most suitable one.
Estimating and values
Mean and values for the entire experiment
From the statistically significant logarithmic fits between and measured values, we can estimate the isotopic fractionation by NO production ( and NO reduction ( according to Eq. (18), where the slope represents the (the isotope effect associated with NO reduction), and the intercept gives (the initial isotopic signature for the produced NO unaffected by its reduction) (Fig. 4).
For O and N, values are expressed as relative values in relation to the source, i.e. soil water (O(NO HO)) and soil nitrate (N(NO NO. This allows us to reasonably compare different treatments differing in soil water isotopic signatures and properly interpret N values which are related to the isotopic signature of nitrate, getting enriched with incubation time. N is independent of the isotopic signature of the source, hence the measured N values were directly used for determination of correlations.
Temporarily changing and values
The interpretations and calculations based on values are difficult when we deal with the simultaneous variations in and values. Usually, to calculate a stable is assumed (Lewicka-Szczebak et al., 2015), and to precisely determine temporal changes in , we need independent data on (Köster et al., 2015). In field studies, neither nor can be determined precisely, but rather the possible ranges for each parameter can be given (Zou et al., 2014). In our experiments we have measured with independent methods, hence we can assess the changes with time, under the assumption that is stable, or conversely, assess changes in assuming stable values. The assumption of a stable value is best justified for N, which shows the narrowest range of variations from 7.7 to 2.3 ‰ with a mean of 5 ‰ (Lewicka-Szczebak et al., 2014, 2015). Hence, a fixed N value of 5 ‰ was used to calculate a N value for each sample and thus to estimate its change with time. To calculate the possible temporal change in values, was assumed constant. The respective value derived from the correlation between ln( and (Mariotti et al., 1981) was used.
Fungal fraction estimated from values
From the calculated N values, the fraction of NO originating from fungal denitrification ( can be estimated using the isotopic mass balance. Isotopic end-members for N values were assumed to be 35 ‰ for fungal denitrification (Rohe et al., 2014) and 5 ‰ for heterotrophic bacterial denitrification (Sutka et al., 2006; Toyoda et al., 2005). The mixing end-member characterized by higher N values can theoretically also originate from nitrification (hydroxylamine oxidation pathway), but only in the oxic treatments. However, in our experimental set-up, due to high nitrate amendment, the absence of ammonia amendment, and high soil moisture, NO flux from nitrification should be much lower than from denitrification (Zhu et al., 2013). Therefore, the significant shifts in N values observed here are instead discussed as a result of fungal denitrification admixture.
Calibration and validation of quantification
The precision of the quantification of the NO reduction based on the NO isotopic fractionation approach was checked by comparison of the calculated values and the values measured by the reference methods, i.e. direct N measurements in He incubation (for Exp 1) and the N gas flux method (for Exp 2). The and values needed to determine with Eq. (18) were found from the natural log fit between the isotopic signature of residual unreduced NO and determined by the independent method, as shown in the previous Sect. 2.7.1.
The calibration of the isotopic fractionation approach was performed by applying N and N values obtained in the particular experiment to calculate from the same experiment. The precision of this approach was evaluated by comparing measured and calculated and determining the standard error of calculated .
The validation of the isotopic fractionation approach was performed by applying N and N values determined in a parallel experiment to calculate of the validation experiment with the same soil. The validation was performed in three ways (Val1–Val3):
- i.
Val1 used N and N values obtained from a previous static experiment performed with the same soil (Exp 1E–F in Lewicka-Szczebak et al., 2014) to calculate for Exp 1 and 2 based on the measured N values of residual unreduced NO.
- ii.
Val2 used N and N values obtained from Exp 1 to calculate for Exp 2, and vice versa.
- iii.
Val3 used the same N as Val2, but for N the common value of 5 ‰ was applied, as recently suggested as a mean robust N (Lewicka-Szczebak et al., 2014). Here we checked how our results are affected when we use this common value instead of the N value determined for the particular soil.
Mapping approach to distinguish mixing and fractionation processes
Until now, isotopomer “maps”, i.e. plots of N vs. N or N vs. O, have been used to differentiate between processes (Koba et al., 2009; Zou et al., 2014) or to identify NO reduction to N (Well et al., 2012). Here we present a very first attempt of simultaneous quantification of fractionation and mixing processes based on the relation between N and O values, which we call the “mapping approach”. The graphical illustration of the N O “maps” is presented in Fig. 1. The approach is based on the different slopes of the mixing line between bacterial denitrification and fungal denitrification or nitrification and the reduction line reflecting isotopic enrichment of residual NO due to its partial reduction. Both lines are defined from the known most relevant literature data on the respective and values:
N for bacterial denitrification from pure culture studies: for heterotrophic bacterial denitrification from 7.5 to 3.7 ‰ (Sutka et al., 2006; Toyoda et al., 2005) and for nitrifier denitrification from 13.6 to 1.9 ‰ (Frame and Casciotti, 2010; Sutka et al., 2006). As both processes overlap, a common mean end-member value for NO production by bacterial denitrification of 3.9 ‰ is used.
O(NO HO) for bacterial denitrification: for heterotrophic bacterial denitrification from controlled soil incubations from 17.4 to 21.4 ‰ (Lewicka-Szczebak et al., 2016; Lewicka-Szczebak et al., 2014) and for nitrifier denitrification based on pure culture studies from 19.8 to 26.5 ‰ (Frame and Casciotti, 2010; Sutka et al., 2006). As both processes overlap, a common end-member value for NO production by bacterial denitrification of 21 ‰ is used. (For heterotrophic bacterial denitrification we used the values of the controlled soil incubation only (from 17.4 to 21.4 ‰) and disregarded pure culture studies which show a large range of possible values due to various O exchange with ambient water depending on the bacterial strain, whereas soil incubations indicated that this exchange is high (Kool et al., 2007; Snider et al., 2013) and the isotope effect between water and formed NO is quite stable (Lewicka-Szczebak et al., 2016).)
N for fungal denitrification and nitrification based on pure culture studies: for fungal denitrification from 30.2 to 39.3 ‰ (Maeda et al., 2015; Rohe et al., 2014; Sutka et al., 2008) and for nitrification from 32.0 to 38.7 ‰ (Frame and Casciotti, 2010; Heil et al., 2014; Sutka et al., 2006). As both processes overlap, a common end-member value for NO production by fungal denitrification of 34.8 ‰ is used. (A recent study also indicated a lower N value for one individual fungal species, which was disregarded here due to its very low NO production: C. funicola showed N of 21.9 ‰ but less than 100 times lower NO production with nitrite compared to other species, and no NO production with nitrate (Rohe et al., 2014). Similarly, from the study of Maeda et al. (2015) we accepted only the values of strains with higher NO production (> 10 mg NO-N g biomass).)
O(NO HO) for fungal denitrification and nitrification based on pure culture studies: for fungal denitrification from 40.6 to 51.9 ‰ (Maeda et al., 2015; Rohe et al., 2014; Sutka et al., 2008) and for nitrification from 35.6 to 55.2 ‰ (Frame and Casciotti, 2010; Heil et al., 2014; Sutka et al., 2006). As both processes overlap, a common end-member value for NO production by fungal denitrification of 43.6 ‰ is used. (The relevant values for fungal denitrification are selected after the same criteria as above for N.)
Isotopic fractionation factors associated with NO reduction: values obtained from controlled soil incubations are N from 7.7 to 2.3 ‰ with a mean of 5 ‰ and of O values from 25 to 5 ‰ with a mean of 15 ‰ (Jinuntuya-Nortman et al., 2008; Lewicka-Szczebak et al., 2014; Menyailo and Hungate, 2006; Ostrom et al., 2007; Well and Flessa, 2009a). Although the range of possible variations is quite large, it has been shown recently that the mean values and typical N/ O ratios are applicable for oxic or anoxic conditions unless NO reduction is almost complete, i.e. < 0.1 (Lewicka-Szczebak et al., 2015).
Scheme of the mapping approach to simultaneously estimate the magnitude of NO reduction and the admixture of fungal denitrification (or nitrification).
[Figure omitted. See PDF]
The N O slope of the mixing line
between the end-member value for NO production of fungal
denitrification or nitrification is distinct from the slope of the
reduction line resulting from reduction isotope effects (Fig. 1: reduction
line and mixing line, respectively). Isotopic values of the samples analysed
are typically located between these two lines, reduction and mixing. From
their position on the N O “map”
we can estimate the impact of fractionation associated with NO
reduction and admixture of NO originating from fungal
denitrification or nitrification. If we assume bacterial denitrification as the
first source of NO, then we can deal with two scenarios:
the NO emitted due to bacterial denitrification is first reduced (point move along reduction line up to the intercept with red_mix line) and then mixed with the second end-member (point move along red_mix line to the measured sample point)
the NO from two end-members is first mixed (point move along mixing line up to the intercept with mix_red line) and only afterwards the mixed NO is reduced (point move along mix_red line to the measured sample point).
Results
Exp 1
NO and N fluxes and isotopocules of NO
The detailed results presented as time series are shown in Fig. S1 in the Supplement. In general, the switch from oxic to anoxic conditions resulted in an increase of gaseous N losses. For both treatments of the Min soil (70 and 80 % WFPS), we observed a gradual decrease in with incubation time, from 1 down to 0.25 for 80 % WFPS and down to 0.63 for 70 % WFPS. This is associated with a simultaneous increase in values, from 21.6 to 59.1 ‰ for O, from 52.9 to 29.9 ‰ for N, and from 0.3 to 19.6 ‰ for N. For the Org soil 80 % WFPS treatment, the initial increase in , from 0.08 to 0.49 during the oxic phase, is followed by a slight drop (from 0.60 to 0.39) during the anoxic phase. Values of did not show a clear trend over time and ranged from 11.2 to 41.9 ‰ for O, from 46.4 to 17.4 ‰ for N, and from 1.9 to 17.5 ‰ for N. In the 70 % WFPS treatment, the gas fluxes were below detection limit during the oxic phase.
O(HO) of soil water ranged from 6.5 to 5.1 ‰ for Org and Min soil, respectively.
Exp 2
NA treatment, Exp 2
NO and N fluxes and isotopocules of NO
The detailed results presented as time series are shown in Fig. S2 in the Supplement. For the anoxic treatments we observe a gradual decrease in NO flux and an increase in N flux (calculated with the values determined in the parallel N treatment) with incubation progress. For Min soil, O increases from 27.3 to 71.2 ‰, N from 45.6 to 28.2 ‰, and N from 5.5 to 34.6 ‰. For Org soil O increases from 18.4 to 52.6 ‰, N from 46.2 to 7.5 ‰, and N from 4.3 to 31.4 ‰.
Under oxic conditions, we observe much higher standard deviations for both NO flux and NO isotopic signatures. For Min soil no clear trend over time can be described: the NO flux is decreasing but rises again at the end of the incubation. Similarly, values first increase and then decrease again, varying between 32.8 and 63.4 ‰ for O, between 43.2 and 3.0 ‰ for N, and between 3.1 and 16.8 ‰ for N (Fig. S2.2a). For Org soil, values increase until the 5th day, from 17.5 to 46.6 ‰ for O and from 48.4 to 38.1 ‰ for N, and then vary around 46 and 39 ‰, respectively. N values keep increasing through the entire incubation period from 1.7 to 23.6 ‰ (Fig. S2.2b).
O(HO) of soil water ranged from 8.5 to 6.1 ‰ for Org and Min soil, respectively.
N treatment, Exp 2
NO and N fluxes and N enrichment of N pools
The detailed results presented as time series are shown in Fig. S3 in the Supplement. The determined values in the anoxic treatments are decreasing with incubation progress, from 0.58 to 0.02 for Min soil (Fig. S3.1a) and from 0.71 to 0.30 for Org soil (Fig. S3.1b). In the oxic treatments varies between 0.08 and 0.72. The minimum values are reached about in the middle of the incubation time in both soil types: on the 6th day for Min soil and the 5th day for Org soil incubation.
From all N treatments, only the anoxic Org soil treatment provided very consistent N atom fractions in all gaseous fractions (, , . They ranged from 42 to 46 atom %, which is in close agreement with soil nitrate ( 43 atom %) (Fig. S3.1b). For the anoxic Min soil treatment, and ranged from 49 to 51 atom % and also correspond to (51 atom %), but the N atom fraction of the emitted NO ( is significantly lower, decreasing from 49 to 24 atom % with incubation time (Fig. S3.1a). In oxic conditions we deal with even lower N atom fractions in total NO. ranges from 4 to 32 atom % for Min soil (Fig. S3.2a) and from 11 to 37 atom % for Org soil (Fig. S3.2b). Moreover, for oxic treatments lower values of can also be observed, down to 28 atom % for Min soil and 34 atom % for Org soil. For mineral N we observed almost no change in N content in the extracted nitrate under anoxic conditions, with maximal change in of 0.3 atom %. Under oxic conditions a slight decrease of 1.5 for Min and 3.2 atom % for Org soil occurs. The non-labelled ammonium pool stays mostly unchanged under oxic treatments, but significant N enrichment is observed under anoxic conditions, where reaches 8.7 for Min and 3.5 atom % for Org soil by the end of the incubation (Figs. S3.1a, b).
N transformations
In Table 1, calculated rates of N transformations are shown. Initial and final concentrations for nitrate and ammonium were measured, total gaseous N-loss ([N NO] flux) is calculated (Eq. 7), the rates of nitrification (), DNRA, mineralization (, and immobilization ( were estimated according to Eqs. (13)–(16). The flux of NO from non-labelled soil N pools was calculated as [NO] flux. The nitrification rate () was highest for the Org soil in oxic conditions (1.93 mg N per kg soil and 24 h). But even in anoxic treatments, a low rate was detected (up to 0.06 mg N). In the anoxic treatments DNRA was also active, which resulted in the formation of N labelled NH (from 0.02 to 0.10 mg N, for Min soil and Org soil, respectively). Mineralization ( appears to be very high for Org soil, both in oxic (1.99 mg N) and anoxic (1.25 mg N) conditions, and lower for Min soil (0.31 and 0.15 mg N, respectively). Interestingly, in each treatment quite a pronounced additional nitrate sink, most probably due to N immobilization (), was found, mostly much larger than the total gaseous loss ([NNO] flux) (Table 1).
Contribution of N-pool-derived NO in the total NO flux ( – diamonds) and the fraction of hybrid NO within the N-pool-derived NO ( – triangles) in relation to the total NO flux for Min (a) and Org (b) soil in oxic (blue data points) and anoxic (black filled data points) conditions. No hybrid NO was detectable under anoxic conditions. Logarithmic correlation is shown where statistically significant ( Min soil: , < 0.001; Org soil: 0.88, < 0.001; Org soil: 0.59; 0.013). Fluxes lower than 0.01 (detection limit) are shown jointly as < 0.01.
[Figure omitted. See PDF]
Rates of N transformation processes as calculated from N-pool dilution for Exp 2 N treatment. Measured data used for the calculation are provided in the Supplement (Table S2).
N-transformations: calculated rates | ||||||
---|---|---|---|---|---|---|
(mg N kg dry soil per 24 h) | ||||||
Treatment | Nitrification | Unlabelled NO flux | DNRA | Mineralization | Total N-gas flux | Immobilization |
[NO] | [N NO] | |||||
Min Soil | ||||||
oxic | 0.30 | 0.01 | b.d. | 0.31 | 0.02 | 2.18 |
anoxic | 0.05 | 0.04 | 0.02 | 0.15 | 1.67 | 2.51 |
Org Soil | ||||||
oxic | 1.93 | 0.07 | b.d. | 1.99 | 0.34 | 6.29 |
anoxic | 0.06 | 0.13 | 0.10 | 1.25 | 10.42 | 9.53 |
b.d. – N below detection limit.
NO and N source processes
Based on the non-random distribution of NO isotopologues obtained in N treatments, we can differentiate between the N-pool-derived NO ( and non-labelled NO fraction ( (Fig. 2). decreases with lowering of total NO fluxes and is higher for anoxic treatments (above 0.42 for Min soil and above 0.91 for Org soil) when compared to oxic treatments (from 0.03 to 0.67 and from 0.14 to 0.98, respectively). A significant contribution of non-labelled NO ( < 1) in the anoxic Min soil treatment was thus evident (Fig. 2a), but the lower values are associated with lower NO fluxes at the end of the incubation, and the cumulative flux of non-labelled NO is only approx. 0.02 of the total denitrification flux [NON]. This is slightly higher than for the Org soil anoxic treatment, where the cumulative flux of non-labelled NO reaches only ca. 0.01 of the total denitrification flux [NO N]. The contribution of the cumulative non-labelled NO flux to the total denitrification flux [NO N] is quite significant for oxic treatments, with a mean value of 0.18 and 0.29 for Org soil and Min soil, respectively. Within the N-pool-derived NO, the hybrid sub-fraction can be determined (. Hybrid NO was found only in oxic treatments (Fig. 2). For Min soil, was detected in all measured NO samples and varied between 0.05 and 0.19. For Org soil, no was found during the first 2 or 3 days of incubation when the NO concentration was highest. Afterwards its contribution gradually increased with decreasing NO concentration, reaching up to 0.25 of the N-pool-derived NO. Similarly, was determined. Very small was detected in anoxic treatments, up to 0.09 for Min soil and up to 0.18 for Org soil, where only five samples from two vessels indicated possible presence of hybrid N (Fig. 3). Significantly higher were observed for oxic conditions, up to 0.90 for Min soil and up to 0.68 for Org soil. For Org soil, there is significant negative correlation between and, both NO (Fig. 2) and N flux (Fig. 3), whereas no such relation exists for Min soil.
Contribution of hybrid N in the total N-pool-derived N in relation to the N flux for Min (a) and Org (b) soil under oxic (blue triangles) and anoxic (black triangles) conditions. Logarithmic correlation is shown where statistically significant ( Org soil oxic: 0.79; < 0.001). Fluxes lower than 0.01 (detection limit) are shown jointly as < 0.01.
[Figure omitted. See PDF]
NO isotopic fractionation to quantify NO reduction
Estimating and values
For Min soil we obtained very consistent correlations between and measured values for all treatments except the oxic Exp 2. The NO fluxes for oxic conditions showed large variations within the repetitions and between the treatments (compare Figs. S2.2a and S3.2a) which indicates that NA and N treatments are not directly comparable. Therefore, the results of the oxic incubation (blue diamonds, Fig. 4a) show no correlation between N and . The other three fits indicate an absolutely consistent value for N from 4.0 to 4.5 ‰ and also quite a consistent value for N from 8.6 to 6.7 ‰ (Fig. 4a). Much wider ranges of values were found for O (from 22.7 to 9.9 ‰) and N (from 6.6 to 2.0 ‰). In contrast to quite variable values, the determined values are very robust, with O about 36 and N about 45 ‰ (Table 2).
Examples of the relation between N and : Min soil (a) and Org soil (b). The equation for natural log correlations are given where significant, n.a. where not significant.
[Figure omitted. See PDF]
Calculated N values for individual samples (assuming common stable N value of 5 ‰) with the respective fraction of fungal NO ( (calculated with end-member N values: 5 ‰ for bacterial and 35 ‰ for fungal denitrification). The individual N values are compared with the general N value calculated from the overall correlation between N and (Table 2). Min soil (a) and Org soil (b).
[Figure omitted. See PDF]
Fractionation factors of NO reduction ( and isotopic signatures of initial unreduced NO ( determined from the regression function ln ( (Eq. 14). Statistical significance given for with < 0.05, < 0.01, and < 0.001 from Pearson correlation coefficients.
O(NO HO) | N(NO NO | N | range | ||||
---|---|---|---|---|---|---|---|
Min soil, Exp 1 | |||||||
anoxic | 15.5 | 35.7 | 6.6 | 48.7 | 8.6 | 4.4 | 0.19–0.75 |
oxic | 22.7 | 37.0 | 5.7 | 42.0 | 6.8 | 4.5 | 0.27–1.00 |
Min soil, Exp 2 | |||||||
anoxic | 9.9 | 35.5 | 2.0 | 45.2 | 6.7 | 4.0 | 0.01–0.59 |
oxic | n/a | n/a | n/a | n/a | n/a | n/a | 0.04–0.71 |
Org soil, Exp 1 | |||||||
anoxic | n/a | n/a | n/a | n/a | n/a | n/a | 0.30–0.84 |
oxic | n/a | n/a | n/a | n/a | n/a | n/a | 0.05–0.56 |
Org soil, Exp 2 | |||||||
anoxic | 38.4 | 20.6 | 32.9 | 60.9 | 30.8 | 3.4 | 0.09–0.82 |
oxic | 25.4 | 24.6 | 6.8 | 47.1 | 20.8 | 3.3 | 0.10–0.88 |
n/a – not applicable – no statistically significant correlation.
These relations look very different for Org soil. Firstly, there is no significant correlation between and for Exp 1, whereas all correlations are significant for Exp 2 (Fig. 4b, Table 2). The values determined for Exp 2 for Org soil (Table 2) are much more negative than for Min soil and also compared to the known literature range of fractionation factors (Jinuntuya-Nortman et al., 2008; Lewicka-Szczebak et al., 2015; Well and Flessa, 2009a).
Temporarily changing and values
Theoretical N values were calculated for individual samples assuming stable values (as described in Sect. 2.7.1) and the variations of calculated N with incubation time for both soils are presented in Fig. 5. An increase in N value with time is observed for both soils, but is much larger and clearly unidirectional for Org soil. Since simultaneously decreases during the incubation, the N value obtained from the correlation between N and (Table 2, Fig. 4b) is much below the actual one (Fig. 5b). For Min soil this increasing trend is not so large and constant, and hence the correlation between N and (Table 2, Fig. 4a) provides the N value which represents the mean of actual variations quite well (Fig. 5a).
It could also be assumed that values are constant during the experiment and the variable values can be calculated. Under this assumption the values through both soils and experiments are extremely variable for N from 59 to 30 ‰, for N from 24 to 15 ‰, and for O from 143 to 48 ‰.
Fungal fraction estimated from values
For Org soil, the time course of N values (Fig. 5) indicated a very pronounced increase in the fraction of NO originating from fungal denitrification () during the incubation time of Exp 2 (9 days), giving values from 10 % at the beginning up to 75 % at the end. For Min soil in Exp 2, was smaller and varied from 7 to 49 %.
Calibration and validation of quantification
From the correlation tested above (Table 2) we found that only for Min soil can and values be robustly determined from N values. Hence, we show here the calibration and validation based on these values only. The calibration shows quite a good agreement between the measured and the calculated with a significant fit to the line (Fig. 6). The mean absolute difference between measured and calculated was 0.08 for Exp 1 and 0.04 for Exp 2. The mean relative error in the determination of the reduced NO fraction ( representing the N flux was 36 % for Exp 1 and 8 % for Exp 2. For Exp 1 we have tested if a better fit could be obtained when fractionation factors for oxic and anoxic treatment are determined and applied separately. In Fig. 6, points calculated with mean values for oxic and anoxic treatment (Exp 1 mean), as well as calculations for either oxic or anoxic treatments, are shown. The fit to a line is similar for the calculation using the mean values (Exp 1 mean: 0.83) and the respective oxic and anoxic treatments considered individually (Exp 1 oxic: 0.86 and Exp 1 anoxic: 0.79). This indicates that for this soil values were not affected by incubation conditions.
Calibration of the NO isotopic fractionation approach using Min soil data. calculated based on Eq. (17) and measured with independent methods are compared. For Exp 1 the values calculated based separately either on an oxic (blue triangles) or an anoxic treatment (filled black triangles), or based on the mean values (reversed blue triangles), are shown. For Exp 2 only anoxic treatment samples are shown, since for oxic treatment the relevant reference data are missing (see discussion in Sect. 3.4.1). Goodness of fit to the line is expressed as and the statistical significance is determined for 0.05 with < 0.05, < 0.01, and < 0.001 from Pearson correlation coefficients.
[Figure omitted. See PDF]
For Val1, i.e. using the N and N values obtained from a previous static experiment performed with the same soil, the calculated and measured values showed a correlation but the observed slope was significantly lower than 1 (Fig. 7, red triangles). For Exp 1 the mean absolute difference between the measured and the calculated reaches 0.41 and the relative error in determining N flux is as high as 234 %, whereas for Exp 2 these values are much lower with 0.09 and 16 %, respectively. Significantly lower errors determined for Exp 2 are due to many data points of extremely low values.
For Val2, i.e. using N and N values from Exp 1, the fit to the line was definitely much better than for Val1, which is shown by the significant correlation between measured and calculated (Fig. 7, black triangles). The absolute mean difference between the measured and the calculated was 0.10 and 0.07 for Exp 1 and Exp 2, and the relative error in determining the N flux reached 54 and 13 %, respectively. Nevertheless, for Exp 2 the maximal difference of 0.40 is very high. The four samples showing the highest deviation are the very first samples of the incubation, which most probably show slightly different microbial activity compared to the further part of the incubation. As shown in Fig. 5, at the beginning we deal with larger dominance of bacterial over fungal NO, which results in lower N than assumed in the calculations, and consequently in an overestimation of the .
Validation of the NO isotopic fractionation approach using Min soil data. calculated based on Eq. (17) and measured with independent methods are compared. For Exp 1 (triangles) and Exp 2 (diamonds) the values calculated based on previous static experiment (Val1 – red points) and on this study (Val2 – black points) are shown. Goodness of fit to the line is expressed as and the statistical significance is determined for 0.05 with < 0.05, < 0.01, and < 0.001 from Pearson correlation coefficients.
[Figure omitted. See PDF]
The calculated contribution of NO originating from fungal denitrification or nitrification (, upper graph, diamonds) and the calculated residual NO fraction ( with two scenarios (triangles) compared to the measured values (crosses). Filled black symbols represent anoxic incubation and open blue symbols represent oxic incubation. Min soil (a) and Org soil (b).
[Figure omitted. See PDF]
For Val3, i.e. using a common value of 5 ‰ for N, the fit is very similar as for Val2 (not shown). For Exp 1 the mean absolute difference between measured and calculated was 0.14 (relative error 60 %), which was slightly higher compared to the 0.10 difference (relative error 54 %) for Val2. For Exp 2 this difference was only 0.05 (relative error 9%), hence even lower than 0.07 (relative error 13 %) obtained for Val2.
Summarizing the results of these three validation scenarios, we can conclude that actual values must apparently be known to obtain reliable estimates of , whereas it seems possible to use a general value for N.
Mapping approach to distinguish mixing and fractionation processes
As qualitative indicators of mixing and fractionation processes, we analysed relations between pairs of isotopic signatures to determine the slopes for the measured values. The same was done for the values calculated using the measured values (Eq. 17). All the calculated slopes are presented in Table 3, and graphical illustrations are shown in the Supplement (Fig. S4). The N O slopes for Org soil are generally higher (from 0.65 to 0.76) than for Min soil (from 0.30 to 0.64) (Table 3). But we can also notice that for both soils, the slopes in Exp 1 are lower than in Exp 2. The slopes between O N observed in our study range mostly from 1.94 to 3.25 (Table 3). Only for Org soil in anoxic conditions (in both Exp 1 and Exp 2) is this slope substantially lower, from 0.61 to 0.84.
With the mapping approach we used dual isotope values, i.e. N and O, to calculate and the fraction of NO originating from fungal denitrification or nitrification ( as described in Sect. 2.7.3. This was done for both soils but with Exp 2 data only (Fig. 8). Both scenarios provide identical results for values, whereas values are always higher for Sc2 (“first reduction, then mixing”) when compared to Sc1 (“first mixing, then reduction”) with maximal difference up to 0.39 between them. Figure 8 shows the comparison between calculated and measured values. For most results the measured value is within the range of values obtained from both scenarios. For Org soil, Sc2 results show better agreement with the measured values, but rather the opposite is observed for the Min soil. The oxic treatment for Min soil shows the worst agreement with the measured values, i.e. the calculated values indicate pronounced underestimation of . The calculated values exhibit a continuous increase with incubation time for all treatments except the oxic treatment of Min soil.
Relations between isotopic signatures of emitted NO: N O, N N, O N, and mean of the corresponding data sets. The slopes for linear fit are given. Statistical significance given for 0.05 with < 0.05, < 0.01, and < 0.001 from Pearson correlation coefficients. The graphical presentation of the correlations is shown in the Supplement (Fig. S4).
N O | N N | O N | ||
---|---|---|---|---|
mean | ||||
Slope | Slope | Slope | ||
Min soil, Exp 1 | ||||
anoxic | 0.47 | 1.01 | 2.21 | 0.46 |
oxic | 0.30 | 0.59 | 1.94 | 0.77 |
Min soil, Exp 2 | ||||
anoxic | 0.64 | 2.16 | 3.25 | 0.14 |
oxic | n/a | n/a | n/a | 0.39 |
Org soil, Exp 1 | ||||
anoxic | 0.65 | 0.55 | 0.84 | 0.59 |
oxic | n/a | n/a | n/a | 0.34 |
Org soil, Exp 2 | ||||
anoxic | 0.76 | 0.82 | 0.61 | 0.48 |
oxic | 0.73 | 2.07 | 3.07 | 0.44 |
Min soil, all data | ||||
calculated | n/a | n/a | 0.56 | |
Org soil, all data | ||||
calculated | 0.68 | 0.74 | 1.04 |
n/a – not applicable – no statistically significant correlation.
Discussion
NO and N source processes
In this study quite a high contribution of non-labelled NO was documented (Figs. 2, 3). Non-labelled NO may originate from nitrification or nitrifier denitrification (Wrage et al., 2001). However, in the conditions favouring denitrification with high soil moisture (WFPS 75 %) the typical NO yield from nitrification is much lower compared to the NO yield from denitrification (Butterbach-Bahl et al., 2013; Well et al., 2008). Therefore, in these experimental conditions the contribution of nitrification to NO fluxes should be rather negligible. Most surprising is the significant contribution of non-labelled NO ( < 1) in the anoxic Min soil treatment associated with lower NO fluxes at the end of incubation (Fig. 2a). Moreover, for both soils in the anoxic treatment the cumulative non-labelled NO flux in milligrams of N is higher than the initial NH pool plus the NH possibly added due to DNRA (Table S2). This indicates that oxidation of organic N must be active in these treatments. Recently, it has been shown that this process can even be the dominant NO-producing pathway (Müller et al., 2014); however, it is questionable if this can also be active under anoxic conditions. Nitrifier denitrification or eventually also some abiotic NO production would be the most probable processes to produce non-labelled NO in anoxic treatments, but since the substrate is NH, it must have been preceded by ammonification of organic N.
A higher contribution of non-labelled NO was noted for oxic treatments (Fig. 2). This flux can be well explained by nitrification, because it represents up to 3 % of the nitrification rate (Table 1), which is at the upper end of the known range for the nitrification product ratio (Well et al., 2008). Nitrification was quite significant in oxic treatments and NO production from nitrification largely exceeded the NH available at the beginning of the incubation (Table S2). This indicated that a pronounced amount of organic N must have been mineralized first or was partially oxidized to NO through the heterotrophic nitrification pathway (Zhang et al., 2015).
To our best knowledge, this is one of the very few studies that document a significant hybrid N and NO production in natural soils without the addition of any nucleophiles, i.e. compounds used as the second source of N in codenitrification (Laughlin and Stevens, 2002; Long et al., 2013; Selbie et al., 2015). All these previous studies identified codenitrification as the major N-producing process, with contribution of hybrid N in the total soil N release from 0.32 to 0.95 (Laughlin and Stevens, 2002; Long et al., 2013; Selbie et al., 2015). In our study this contribution is lower, namely 0.18 and 0.05 of the cumulative soil N flux for Min soil and Org soil, respectively. No hybrid NO was found previously (Laughlin and Stevens, 2002; Selbie et al., 2015), whereas in our study a slight contribution was detected representing 0.027 and 0.009 of the cumulative NO flux for Min soil and Org soil, respectively. Interestingly, we observe higher values for oxic treatments. This may indicate the fungal origin for hybrid N and NO, since it has been shown that fungal denitrification may be activated in presence of oxygen (Spott et al., 2011; Zhou et al., 2001). Similarly, Long et al. (2013) identified fungal codenitrification as the major N-producing process. In our study, higher values were generally observed for lower N and NO fluxes (especially for Org soil, Figs. 2b, 3b). Most probably, towards the end of the incubation, when N and NO fluxes decrease, the concentration of intermediate products NO and NO also decrease and the organic substrates may get exhausted. This reinforces the previous observations of enhanced codenitrification for a higher ratio between potential nucleophiles and NO or NO and with decreasing availability of organic substrates (Spott et al., 2011). But we cannot exclude the possibility that hybrid N also originated from other processes, i.e. abiotic codenitrification or anammox (Spott et al., 2011).
A precondition for the proper quantification of various process rates based on the N tracing technique is the homogeneity of N tracer in soil. Recently, a formation of two independent NO pools in the soil was described for an experimental study (Deppe et al., 2017). One pool contained the undiluted N tracer solution and thus high N enrichment was mostly the source for NO. The rest of soil NO representing the other pool was largely diluted by nitrification input and, therefore, the total soil NO ( showed lower N enrichment than the N-pool-derived NO ( (Table 4). This strong discrepancy between pool enrichments could be explained by the large amount of ammonia applied in that experiment and subsequent fast nitrification in aerobic domains of the soil matrix. For our data, values are not significantly higher than , and for anoxic treatments agree perfectly (Fig. S3.1a, b), which indicates that the non-homogeneity problem does not apply here. The reason for better homogeneity achieved in our experiments is probably the much higher soil moisture applied, resulting in more anoxic conditions inhibiting nitrification, and the absence of ammonia amendment. Hence, as we can assume homogenous N distribution, our results for and should be adequate.
Results from a laboratory incubation experiment to distinguish between NO emitted from nitrification and denitrification in a sandy loam soil (Deppe et al., 2017) in comparison with the results of this study (Min and Org soil). Results of Deppe et al. (2017) show large differences between average N enrichment of NO in the bulk soil, as analysed in extracted NO, and N enrichment of NO in denitrifying microsites producing NO, as calculated from the non-equilibrium approach after Spott et al. (2006) and Bergsma et al. (2001).
Deppe et al. | Min soil, | Org soil, | Min soil, | Org soil, | |
---|---|---|---|---|---|
(2017) | oxic | oxic | anoxic | anoxic | |
of added fertilizer | 12.5 | 51.1 | 43.2 | 51.1 | 43.2 |
at final sampling | 2.24 0.02 | 49.6 0.1 | 39.9 0.2 | 50.8 0.2 | 43.0 0.2 |
at final sampling | 13.0 0.9 | 47.7 0.5 | 37.2 1.0 | 51.2 0.1 | 45.9 0.3 |
at final sampling | n.d. | 49.3 1.5 | 38.7 1.0 | 49.8 0.4 | 43.3 1.3 |
NO isotopic fractionation to quantify NO reduction
Estimating and values
With respect to robust estimation of NO reduction, a first question arises: to what extent values and values were variable or constant during incubations. When assuming constant values during the experiment, calculated values were highly variable. The large ranges obtained are clearly in strong disagreement with previous knowledge on possible values (Jinuntuya-Nortman et al., 2008; Lewicka-Szczebak et al., 2014; Ostrom et al., 2007; Well and Flessa, 2009a). In the further interpretation of data we therefore suppose that values were variable and values constant. While we cannot rule out that values varied to some extent, it is not possible to verify that using the current data set.
Another question is whether the assumption of isotopic fractionation pattern of closed systems holds. Logarithmic fits provided best correlations with the measured data, whereas linear correlations that would be indicative for open system dynamics (Decock and Six, 2013) yielded worse fits (data not shown). This indicates that the NO reduction follows the pattern of a closed system according to Rayleigh distillation equation (Eq. 13), as suggested previously (Köster et al., 2013; Lewicka-Szczebak et al., 2015; Lewicka-Szczebak et al., 2014).
To what extent are the observed and values in agreement with previous data and how could differences be explained? For Min soil we can compare the and values obtained here to the previous experiment, carried out with the same soil (Exp 1E, 1F, Lewicka-Szczebak et al., 2014) but using the acetylene inhibition technique. The actual N values from 8.6 to 6.7 ‰ (Fig. 4a) are quite close to that previous result of 6.0 ‰, whereas N values from 4.0 to 4.5 ‰ are significantly higher than the previously determined value of 2.7 ‰. While that previous value was within the N range of bacterial denitrification (7.5 to 1.3 ‰, Toyoda et al., 2005), the clearly higher actual values indicate that the previous method must have strongly influenced the microbial denitrifying communities, most probably favouring bacterial over fungal denitrification. Much wider ranges of values were found for O (from 22.7 to 9.9 ‰) and N (from 6.6 to 2.0 ‰, Table 2), which is also consistent with the previous findings, indicating that these values depend on enzymatic and diffusive isotope effects and as result can vary in quite a wide range (Lewicka-Szczebak et al., 2014). The determined in Exp 1 are similar to the previous results (18 ‰ for O and 7 ‰ for N, Lewicka-Szczebak et al., 2014), whereas in Exp 2 the absolute values are much smaller, suggesting a different fractionation pattern there. Most probably this difference is an effect of a different range of in both experiments (Table 2). In Exp 2 we partially deal with extremely low values, which results in smaller overall isotope effects, as also shown before (Lewicka-Szczebak et al., 2015). But N values are very robust since the actual N (45 ‰, Table 2) corresponds very well to the one previously determined (46 ‰) using the acetylene method. Conversely, O is much higher (36 ‰, Table 2) compared to the value of 19 ‰ obtained previously (Lewicka-Szczebak et al., 2014). This may indicate a significant admixture of fungal denitrification characterized by higher O but similar N values (Lewicka-Szczebak et al., 2016; Rohe et al., 2014).
For Org soil, much higher absolute values of were found (Table 2), being in contrast to all previous studies (Jinuntuya-Nortman et al., 2008; Lewicka-Szczebak et al., 2015; Well and Flessa, 2009a). Hence, it has to be questioned whether this observation is not an experimental artefact. Actually, the Org soil anoxic treatment was the only case where N-pool-derived NO was dominant (Fig. S3.1b), hence the isotopic signatures should not be altered due to different NO-producing pathways but mostly governed by the . But for Org soil, based on the NA treatment, we observe a constant and very significant increase in the contribution of NO from fungal denitrification during the incubation (Fig. 5). Future studies should clarify whether such a rapid microbial shift is possible. Fungal denitrification adds NO characterized by higher N values and presumably also higher O values (Lewicka-Szczebak et al., 2016; Rohe et al., 2014). As a result the values determined from correlation slopes are biased because the production of O- andN-enriched NO increased in time parallel to a decrease in . In N treatments this increase in NO added from fungal denitrification cannot be distinguished from bacterial denitrification because both originate from the same N nitrate pool.
The Org soil data thus demonstrate that a high and variable in-time contribution of fungal denitrification complicates the application of the NO isotopic fractionation approach for quantification of NO reduction. This is because a highly variable contribution implies that changes in the measured N values can either result from variations in N or . Only when the contribution of fungal denitrification is stable, robust values can be derived from N data. Although the Min soil exhibited a smaller range in , the contribution of fungal denitrification was apparently also not constant. Simultaneous application of the other isotopic signatures, i.e. N and/or O, as discussed further in Sect. 4.2.3, may help solving this problem.
Calibration and validation of quantification
The successful calibration shows that N and values were stable enough within Min soil incubation experiments for calculating using the isotope fractionation approach.
The results of the calibration were very similar if we treated the oxic and anoxic conditions separately and if we used a mean and N value of the oxic and anoxic phase of Exp 1 to all the results (Fig. 6). This indicates that the fractionation factors determined experimentally under anoxic conditions may also be applied for isotopic modelling for oxic conditions, e.g. for parallel field studies in regard to denitrification processes. But importantly, our experiments were performed under high soil moisture and the majority of cumulative NO flux also in oxic treatments originated from denitrification (Sect. 3.3), which explains the similar N values obtained for oxic and anoxic conditions. For lower soil moisture, differences in N values should be expected due to the possible significant admixture of nitrification processes under oxic conditions.
The results of validation show very different agreement between measured and calculated values depending on the experimental approach used for determination of and N values (Fig. 7). When the experiments performed in this study were used (Val2) the agreement was quite good. These experiments are characterized by simultaneous NO production and reduction and a longer duration of the experiment of 5 to 9 days. However, when we used values found in a previous experiment using the acetylene inhibition technique (Val1), the agreement is much worse. Estimation of and N using the acetylene inhibition technique included several experimental limitations that might have affected results. Specifically, this approach was based on separate parallel experiments with and without NO reduction, acetylene amendment required an anoxic atmosphere, and the duration of incubation had to be shorter than 48 h. These limitations most probably influence the microbial denitrifying community and do not provide the true N values.
Whereas finding the true N values is rather challenging, fewer problems seem to be related to the N values. For them similar values were found in all the experiments, where He incubations, N gas flux or acetylene inhibition methods were applied. The determined values were also similar to the mean literature N value of 5 ‰ (Lewicka-Szczebak et al., 2014). Therefore, applying this common literature value for the calculations (Val3) also provided a very good agreement between measured and calculated values. Hence, this reinforces the previous conclusion that the N value of 5 ‰ can be commonly applied for calculation (Lewicka-Szczebak et al., 2014), but major caution should be paid to the proper determination of N values, which may cause much larger bias of the calculated .
Mapping approach to distinguish mixing and fractionation processes
The emitted NO is analysed for three isotopocule signatures and the relations between them (N O, N N, O N can be informative. Namely, the observed correlation may result from the mixing of two different sources or from characteristic fractionation during NO reduction, or from the combination of both processes. If the slopes of the regression lines for these both cases were different, mixing and fractionation processes could be distinguished. Such slopes were often used for interpretations of field data (Opdyke et al., 2009; Ostrom et al., 2010; Park et al., 2011; Toyoda et al., 2011; Wolf et al., 2015) but recently this approach was questioned because of very variable isotopic fractionation noted during reduction for O and N isotopes (Lewicka-Szczebak et al., 2014; Wolf et al., 2015). A recent study showed that for moderate (> 0.1) the N O slopes characteristic of NO reduction are quite consistent with previous findings (Lewicka-Szczebak et al., 2015), i.e. they vary from ca. 0.2 to ca. 0.4 (Jinuntuya-Nortman et al., 2008; Well and Flessa, 2009a). Hence, in such cases, the reduction slopes may significantly differ from the slopes resulting from mixing of bacterial and fungal denitrification, characterized by higher values of about 0.63 and up to 0.85 (Lewicka-Szczebak et al., 2016).
In theory, the slopes for calculated values are not influenced by NO reduction and hence should be mostly caused by the variability of mixing processes, whereas the slopes of the measured values reflect both mixing and fractionation due to NO reduction. For Min soil, there is no correlation between calculated values of N and O (Table 3), which indicates that the correlation observed for measured values was a result of fractionation processes during NO reduction. In contrast, for Org soil all the correlations for calculated values are still very strong and show similar slopes as the correlations for measured values (Table 3). This indicates a very significant impact of the mixing of various NO-producing pathways.
The N O slopes for Org soil are generally higher (from 0.65 to 0.76) than for Min soil (from 0.30 to 0.64) (Table 3). This supports the hypothesis from the previous Sect. 4.2.1 about a higher contribution of fungal NO in Org soil. But we can also notice that the slopes in Exp 1 are lower than in Exp 2. Most probably less stable microbial activity is present under the longer incubation in Exp 2 (9 days) compared to short phases analysed in Exp 1 (3 days). As observed from the calculated values (Fig. 5) the estimated contribution of fungal NO most probably increases with incubation time. Hence, the higher slopes for Exp 2 probably result from the admixture of fungal denitrification and the lower slopes for Exp 1 better represent the typical bacterial reduction slopes. The N O slopes may thus be helpful in indicating the admixture of various NO sources.
Interestingly, there is no correlation between isotopic values in oxic Exp 2 for Min soil. A single process or the combination of several processes, which cause large variations in N but not in O, seems to be present there. This might be due to admixture of NO from different microbial pathways and possibly also due to O exchange with water. In this treatment we also observe the lowest NO fluxes and also the lowest values, which suggest the largest input from nitrification. The N values for hydroxylamine oxidation during nitrification are much larger (ca. 33 ‰) than for bacterial denitrification or nitrifier denitrification (ca. 5 ‰) (Sutka et al., 2006), whereas O may be in the same range for both processes (Snider et al., 2013; Snider et al., 2011). This could be an explanation for the missing correlation between N and O (Table 3).
The graphical interpretations including N values are more difficult since the isotopic signature of the N precursor must be known, but can be also informative and were often used (Kato et al., 2013; Snider et al., 2015; Toyoda et al., 2011, 2015; Wolf et al., 2015; Zou et al., 2014). The slopes between O and N observed in our study range mostly from 1.94 to 3.25 (Table 3), which corresponds quite well to the previously reported results from NO reduction experiments where values in the range from 1.9 to 2.6 were reported (Jinuntuya-Nortman et al., 2008; Well and Flessa, 2009a). Only for Org soil in anoxic conditions (in both Exp 1 and 2) is this slope largely lower and it ranges from 0.61 to 0.84. These values are more similar to O N slopes for the calculated values (0.56 for Min soil and 1.04 for Org soil (Table 3)) and are significantly lower than typical reduction slopes. Thus, most probably, they are instead due to the mixing of various NO sources. However, the calculated values cannot be explained with mixing of bacterial and fungal denitrification only (Fig. S4.3b).
For the relation of N N (Fig. S4.2) the reduction and mixing slopes cannot be separated so clearly. The calculated values are not all situated between the mixing end-member of bacterial and fungal denitrification. This observation is similar to that for O N and is due to some data points showing very low N values down to ca. 70 ‰. This value exceeds the known range of the N fractionation factors due to the NO NO steps of denitrification, i.e. based on pure culture studies, from 37 to 10 ‰ for bacterial and from 46 to 31 ‰ for fungal denitrification (Toyoda et al., 2015) (as displayed on graphs in Fig. S4) and, based on controlled soil studies, from 55 to 24 ‰ (Lewicka-Szczebak et al., 2014; Well and Flessa, 2009b). This additional NO input may originate from nitrifier denitrification, as already suggested based on the N treatments results (Sect. 3.3). Frame and Casciotti (2010) determined that fractionation factors for nitrifier denitrification are N 56.9 ‰, O 8.4 ‰, and N 10.7 ‰. When recalculated for values presented in our study, O will range from 22 to 25 ‰ (taking the variations in O into account). Unfortunately, the N value for this process could not be assessed in our study, since the N was not measured. In case the N is lower than 0 ‰, the very low N values may be well explained with nitrifier denitrification.
Although the interpretation of the relations between particular isotopic signatures is not completely clear yet, it seems to have potential to differentiate between mixing and fractionation processes. Note that by using the literature ranges of isotopic end-member values, they must be recalculated according to respective substrate isotopic signatures for the particular study; hence N, N, and O should be known. Only the N can be directly adopted. Progress in interpretations could be made if all three isotopic signatures would be evaluated jointly in a modelling approach. In order to produce robust results, precise information on values for all possible NO source processes must be available for the particular soil. Unfortunately, the complete modelling is not possible for the data presented here as information on the NH isotopic signature and the N value for possible nitrification processes is lacking.
The mapping approach had been used before based on N and N to estimate the fraction of bacterial NO (Zou et al, 2014). Because N fluxes were not measured in that study, scenarios with different assumptions for NO reduction were applied to show the possible range of the bacterial fraction. Here, we evaluated the mapping approach for the first time using independent estimates of NO reduction. Most informative are the relations between N and O, because N was poorly known, whereas the estimation of O is quite robust due to the large O exchange with water and constant fractionation during O exchange, as shown previously (Lewicka-Szczebak et al., 2016). Therefore we proposed here a method based on N and O values to simultaneously calculate the NO residual fraction ( and the contribution of the mixing end-members as described in Sect. 2.7.3. From Fig. 8 we can assume that the method works quite well in the case of a significant admixture of fungal NO and allows the quantification of its fraction (. For the three treatments where a good agreement between measured and calculated is observed, we deal with a significant contribution of fungal NO (Sect. 4.2.1). The values calculated here from the mapping approach are very consistent with the values found based on estimated N only (Fig. 5), i.e. without considering O values. In the oxic Min soil treatment we probably deal with a significant contribution of NO originating from nitrification or nitrifier denitrification, as supposed previously from the N treatment (Sect. 4.1) and from the isotopic relations discussed above. The oxic Min soil treatment thus results in rather poor agreement of the mapping approach results. The combination of these processes seems to be too complex to precisely quantify their contribution in NO production based on three isotopocule signatures only.
Importantly, for Org soil where values are very high and variable with time (see also Sect. 4.2.1), the mapping approach was the only method to get any estimation of both and . The other approach, presented in Sect. 2.7.2 and successfully applied for Min soil, failed for Org soil due to the inability to assess a stable N. Hence, for the case of varying contribution of fungal NO, the mapping approach presented here may be the only way of assessing the range of possible and values. However, the precision of the results obtained from the mapping approach is a complex issue depending on the size of end-member areas and variability of values. We did not aim to determine the resulting uncertainty in the present paper. The following paper will address the precision problem in detail (Buchen et al., 2017).
Conclusions
We have shown that the NO isotopic fractionation approach based on N values is suitable to identify and quantify NO reduction under particular conditions, most importantly, quite stable NO production pathways. It has been confirmed that the range of N values defined in previous studies is applicable for the calculations. The calculated NO residual fraction is much more sensitive to the range of possible N values than to N values. Therefore, N values must be determined with considerable caution. The method can be used in field studies, but to obtain robust results, in situ measurement of isotopocule fluxes should be complemented by laboratory determinations of N values. For this aim, the He incubation technique or the N gas flux method can be applied as reference methods, but not the acetylene inhibition method, since it most probably affects the microbial community, which results in biased N values. Anoxic incubations may be applied and the determined N values are representative for NO originating from denitrification, even under the oxic atmosphere, which means they are also representative in field studies.
The attainable precision of the method, determined as mean absolute difference between the measured and the calculated NO residual fraction (, is about 0.10, but for individual measurements this absolute difference varied widely from 0.00 up to 0.39. The relative error of N flux quantification depends strongly on the of a particular sample and varied in a very wide range from 0.01 up to 2.41 for Exp 1 and from 0.00 up to 0.93 for Exp 2, with a mean relative difference between measured and calculated N flux of 0.46 and 0.13, respectively. The highest relative errors in the calculated N flux (> 1) occur for the very low fluxes only ( > 0.9).
However, for soils of more complex N dynamics, as shown for the Org soil in this study, the determination of NO reduction is more uncertain. The method successfully used for Min soil was not applicable due to failed determination of proper N values, which were significantly changing with incubation progress. Here we suggest an alternative method based on the relation between N and O values (“mapping approach”). This allows for the estimation of both the fraction of fungal NO and the plausible range of residual NO.
Data availability
The data used in this paper can be found in the Supplement.
The Supplement related to this article is available online at
The authors declare that they have no conflict of interest.
Acknowledgements
This study was supported by German Research Foundation (DFG: We/1904-4, LE 3367/1-1). Many thanks are due to Martina Heuer for help in NO isotopic analyses, Bertram Gusovius for assistance by helium incubations, Stefan Burkart for assistance by microcosm incubations, Kerstin Gilke for help in chromatographic analyses, Roland Fuß for advice in statistical evaluation, and Caroline Buchen for supplying soil for laboratory incubations. Edited by: Y. Kuzyakov Reviewed by: three anonymous referees
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Abstract
Stable isotopic analyses of soil-emitted N
Here this approach was tested based on laboratory soil incubations with two different soil types, applying two reference methods for quantification of
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1 Thünen Institute of Climate-Smart Agriculture, Federal Research Institute for Rural Areas, Forestry and Fisheries, Bundesallee 50, 38116 Braunschweig, Germany
2 Leibniz Centre for Agricultural Landscape Research, Eberswalder Straße 84, 15374 Müncheberg, Germany