GLOBAL BIOGEOCHEMICAL CYCLES, VOL. 18, GB1045, doi:10.1029/2003GB002175, 2004 Nitrous oxide emissions from temperate grassland ecosystems in the Northern and Southern Hemispheres Christoph Müller Department of Plant Ecology, University Giessen, Giessen, Germany Robert R. Sherlock Soil, Plant and Ecological Sciences Division, Soil and Physical Sciences Group, Lincoln University, Canterbury, New Zealand Received 14 October 2003; revised 8 January 2004; accepted 2 February 2004; published 25 March 2004. [1] Nitrogen (N) fertilized or grazed grasslands in temperate regions of the Northern and Southern Hemisphere are important sources for atmospheric nitrous oxide (N2O). Following synthetic urine applications in a New Zealand grassland ecosystem, and ammonium (NH4+) and nitrate (NO3) applications to a German grassland ecosystem, approximately 31, 16, and 5%, respectively, of the total emitted N2O (N2Otot) was produced by nitrification (N2Onit) with the rest being produced by denitrification (N2Oden). Analyses of the combined data set showed that 75% of all N2O emissions occurred above 60% water filled porosity (WFPS) and that more than 80% of all N2O emissions occurred at soil temperatures between 10 and 15C. N2Oden emissions were associated with a WFPS value at around 80% at relatively low NO3 concentrations, while N2Onit emissions only occurred at high NH4+ levels shortly after N application at soil temperatures around 10C. To increase the accuracy of predictions with simple mathematical models, such as the ‘‘hole-in-the-pipe-model,’’ long-term validation data sets are needed where driving variables are related to measured N2Onit and N2Oden data. INDEX TERMS: 0315 Atmospheric Composition and Structure: Biosphere/atmosphere interactions; 4805 Oceanography: Biological and Chemical: Biogeochemical cycles (1615); KEYWORDS: grassland, nitrous oxide Citation: Müller, C., and R. R. Sherlock (2004), Nitrous oxide emissions from temperate grassland ecosystems in the Northern and Southern Hemispheres, Global Biogeochem. Cycles, 18, GB1045, doi:10.1029/2003GB002175. 1. Introduction [2] Grassland systems comprise approximately 30– 50% of terrestrial ecosystems in temperate regions of the earth [Whitehead, 1995]. In this study, N2O emissions and their relationships to important controlling factors are presented from temperate grassland systems in the Southern (New Zealand) and Northern Hemispheres (Germany). While the area for arable land is very similar in New Zealand and Germany (approximately 51 and 50% of the total land area respectively [Statistisches Bundesamt, 1998; Statistics New Zealand, 2000]), there are large differences in their managements. In New Zealand (NZ) a high proportion of improved pastures are managed under a grass-clover regime with intermittent cropping to restore soil structural, biological, and nitrogen fertility, which degrades under continuous arable production. In NZ, such grassland ecosystems are grazed throughout the year, mainly by sheep, dairy cows, and beef cattle, with the urine patches of these animals now recognized as the major source of NZ’s N2O emissions [de Klein et al., 2003]. This is because in grazed pastures, large Copyright 2004 by the American Geophysical Union. 0886-6236/04/2003GB002175$12.00 quantities of N are recycled annually in animal urine (e.g., 280 kg N ha1) and are deposited on to the soil resulting in small volumes of soil containing high concentrations of N (e.g., up to 1000 kg N ha1) [Haynes and Williams, 1992]. In Germany, approximately 30% of the arable land is managed as permanent grassland without intermittent cropping [Statistisches Bundesamt, 1998]. The grassland ecosystems receive a moderate N fertilization (approximately 50– 100 kg N ha1 yr1) and may partly be grazed. In contrast, only high-intensity dairy pastures in NZ receive supplementary N fertilization of this order, with the bulk of NZ’s pastureland receiving little, if any, fertilizer-N [de Klein et al., 2001]. [3] Nitrous oxide (N2O) qualifies as a greenhouse gas with a lifetime of 120 years and a global warming potential over a 100-year timeframe of 310 times that of CO2 [Intergovernmental Panel on Climate Change (IPCC), 1996]. Nitrous oxide is also involved in the catalytic depletion of stratospheric ozone [Crutzen, 1970]. Nitrous oxide emissions mainly result from microbiological processes in soil principally via autotrophic nitrification and heterotrophic denitrification [Ambus, 1998]. Key factors which influence N2O emissions from soil are its aeration status, which is inversely related to the soil moisture and GB1045 1 of 11 GB1045 MÜLLER AND SHERLOCK: N2O EMISSIONS FROM GRASSLAND ECOSYSTEMS precipitation, the soil temperature, and the available mineral N (ammonium, NH4+; nitrate, NO3, nitrite, NO2) [Conrad et al., 1983; Granli and Bøckman, 1994; Wrage et al., 2001]. Additional factors influencing N2O emissions are easily metabolizable carbon [Burford and Bremner, 1975] and soil pH [Nägele and Conrad, 1990]. However, it is not a single factor but the interaction between several factors which ultimately controls N2O emissions from soil [Wrage et al., 2001]. Furthermore, the emissions arising from nitrification (N2Onit) are driven by combinations of factors which differ from those responsible for denitrification (N2Oden), due largely to the different ecological habitats of the various organisms responsible [Conrad, 1996]. The ‘‘hole-in-thepipe model’’ (HIP) has been proposed to explain N2O emissions from nitrification and denitrification in relation to mineral N and water filled porosity (WFPS) [Davidson and Verchot, 2000]. This conceptual model assumes that N2O arising from these two processes is related to the N flow rate and the ‘‘leak’’ from those gross rates. Furthermore, it is assumed that below and above 60% WFPS, N2O is predominantly produced by nitrification and denitrification, respectively [Bouwman, 1998]. However, so far, only a few studies with small numbers of observations have determined N2Onit and N2Oden separately over entire seasons. In addition, N2O emissions typically increase with increasing soil temperature displaying an approximate Q10 value of 2 [Whitehead, 1995]. Thus the combined effects of soil moisture with temperature and mineral N concentrations determine the temporal variations of N2O across the seasons. [4] The most commonly used method to separate N2Otot into N2Onit and N2Oden is to incubate soil in vitro in acetylene (C2H2) concentrations of 5 – 10 Pa to inhibit just the nitrification process [Klemedtsson and Hansson, 1990]. This method has so far been applied in experiments on temperate grasslands with only a few incubations over entire seasons [Ambus, 1998; Kester et al., 1997; Koops et al., 1997]. [5] Here, we present total N2O emissions (N2Otot) and N2O from nitrification (N2Onit) and denitrification (N2Oden) from annual experiments in both New Zealand and Germany. A range of soil and environmental parameters were monitored and related to the N2Otot, N2Onit, and N2Oden emissions to derive general relationships for temperate grassland ecosystems. 2. Materials and Methods 2.1. Experimental Set Up 2.1.1. New Zealand [6] A field experiment was carried out near Lincoln, Canterbury, New Zealand (172300E, 43380S). The site was sown in a ryegrass (Lolium perenne) and white clover (Trifolium repens) pasture 4 years prior to the initiation of the experiment. The soil is classified as Templeton silt loam whose top 5 cm has a sand, silt, and clay content of 59, 21, and 19% respectively; organic C of 3.3%, pH (H2O) of 6.0, and dry bulk density of 1.14 g cm3. [7] The experiment was a randomized block design with four replicates. Single urination events were applied on days 1, 114, 184, and 281 days after the start of the experiment on different plots. GB1045 [8] Synthetic urine was applied, comparable to sheep urination events, at a rate of 4.073 L m2. The composition of the synthetic urine was the same as that employed by Fraser et al. [1994] and gave individual elemental application rates equivalent to N: 500, K: 400, Cl: 100, and S: 15 kg ha1, respectively. The circular gas measuring plots had a size of 0.0491 m2. To avoid artifacts due to soil disturbance, plots were divided into gas and soil sampling areas. All soil analyses were performed on the top 5 cm. 2.1.2. Germany [9] The experiments were carried out at the semi-natural grassland site at the Environmental Monitoring and Climate Impact Station Linden located at 50320N and 841.30E near Giessen, Germany [Jäger et al., 2003]. The grassland had not been ploughed for the last 100 years and had been fertilized at a rate of 50– 80 kg N ha1 yr1. The vegetation consisted of an Arrhenaterum elatoris Br.Bl. Filipendula ulmaria sub-community and was dominated by 12 grass species, 2 legumes, and 15 other dicotyledon species. The soil, a stagno-fluvic gleysol on loamy-sandy sediments over gley (FAO), has an Ap horizon (0 – 12 cm) with a sand, silt, and clay content of approximately 10, 58, and 32%, respectively, a pH(H2O) of 6.2, total organic carbon content of 6.6%, and dry bulk density of 0.85 g cm3. A full description of the German site is given by Jäger et al. [2003]. [10] To investigate the effect of various N forms on N2O emissions, three treatments were installed: control, NH4+ fertilized, and NO3 fertilized (2 repetitions per plot), each at a rate of 100 kg N ha1 (using NH4Cl or KNO3). The fertilizer was applied in liquid form (10 mm) on days 1 and 74 after the start of the experiment on the same plots. The square-shaped gas measurement plots had a size of 0.16 m2. 2.2. N2O Flux Measurements [11] Vented and insulated closed chambers designed according to Hutchinson and Mosier [1981] were used in both experiments. The cover period was typically 20 min with headspace samples extracted with 60-mL polypropylene syringes via needles through a rubber septum in the chamber top at 0, 10, and 20 min after coverage. [12] Gas samples were analyzed within 24 hours on gas chromatographs (Varian Aerograph Series 2800 in NZ; Perkin Elmer Autosystem XL B5902 in Germany) equipped with 63Ni electron capture detectors (Pye Unicam) and two manual switching valves (Valco Instruments Co., Inc.) [Mosier and Mack, 1980]. Integration of the gas chromatograph output was performed on a computer fitted with an analogue-to-digital interface board running Peaksimple software (SRI Instruments). [13] Nitrous oxide fluxes were calculated using the nonlinear equation given by Hutchinson and Mosier [1981] and expressed in g N2O-N ha1 d1. For a cover period of 20 min the method was capable of resolving the N2O flux to a precision of ±0.2 g N2O-N ha1 d1. Gas samples in New Zealand were collected daily at 1400 hours except during periods when the emissions were below 2 g N2O-N ha1 d1. Low emissions typically occurred during prolonged periods of no rainfall during which samples were collected every 3 to 5 days. For control plots, samples were taken every 1 to 2 days for the first 4 weeks of the experiment. 2 of 11 GB1045 MÜLLER AND SHERLOCK: N2O EMISSIONS FROM GRASSLAND ECOSYSTEMS However, the sampling frequency was reduced to once a fortnight and periods following rainfall after finding that the emissions were consistently low and showed little response to changing soil and environmental conditions. In Germany, samples were collected at 5 times throughout each sampling day (800, 1200, 1400, 1600, 2000 hours) on day 2, 5, 8, 10, 19, 24, 34, 69, 74, 79, 86, 95, 109, 151 after the start of the experiment. From the five measurements, one integrated daily N2O flux was calculated assuming a linear change from one sampling time to the next. 2.3. Determination of N2O via Nitrification and Denitrification [14] Total N2O emissions were separated into N2O emissions from nitrification (N2Onit) and denitrification (N2Oden) based on the inhibition of nitrification by 5 – 10 Pa acetylene using separate soil core incubations in the field [Müller et al., 1998]. For the data set in New Zealand a separate experiment was used to derive relationships between N2Onit, N2Oden, and soil moisture, soil temperature, NO3, and NH4+ which were then applied to the data set where only total N2O (N2Otot) was determined [Müller et al., 1998]. In Germany, at each sampling day, soil cores from the experimental plots were incubated with and without 5 –10 Pa acetylene in the field under the prevailing environmental conditions according to the procedure described by Müller et al. [1998]. Briefly, soil cores (each D = 2.5 cm; H = 5 cm) were taken from an area adjacent to the N2Otot flux site and incubated in glass jars under field conditions for approximately 5 hours. There were control jars and jars where the headspace concentration was adjusted to approximately 10 Pa acetylene (C2H2) [Müller et al., 1998]. From the soil incubations, ratios of N2Onit/N2Otot and N2Oden/N2Otot were derived and multiplied by N2Otot from the flux measurement to obtain the separate N2Onit and N2Oden fluxes. Therefore each daily N2Otot flux was partitioned into N2Onit and N2Oden flux, assuming that other N2O production processes were negligible. This procedure is different than the commonly used method where only laboratory incubations and no additional N2Otot flux measurements are conducted [Ambus, 1998; Kester et al., 1997]. To obtain yearly sums of N2Onit and N2Oden, the daily observations were time-integrated over the observation period. 2.4. Soil Moisture [15] The soil water content was determined gravimetrically at each time of gas analysis from the top 5 cm in New Zealand and Germany. The soil moisture was converted to water-filled pore space (WFPS) using bulk density and porosity values. 2.5. Mineral Nitrogen (NH4+ ; NO3 ) [16] Soil samples from N applied areas in the two experiments were collected 1, 2, 3, 5, 7, and 10 days after N application and then at 5- to 20-day intervals. The soil inorganic N content was extracted immediately after sampling with 2 M KCl and analyzed colorimetrically on an autoanalyzer (Tector Flow Injection Analyzer in NZ; Technicon continuous flow Analyzer, Braan and Luebbe in Germany). GB1045 Table 1. Maximum Coefficient of Variance CV (%) of Total N2O Emissions, NH4+, and NO3 Concentrations of the New Zealand (NZ) and the German (DE) Data Set (NH4+ Plots and NO3 Plots) NZ data (urine plots) DE data NH+4 plots DE data NO 3 plots N2Otot NH+4 NO 3 113 79 100 17 45 55 26 64 60 2.6. Meteorological Measurements [17] In New Zealand, soil temperatures from 2, 4, 8, and 16 cm soil depth were measured with thermistors (Campbell, Inc.) and logged at 30-min intervals throughout the experiment on a data logger (21 X, Campbell, Inc.). Rainfall was collected in a rain gauge (Nylex) and recorded every day at 1400 hours. In Germany a full set of meteorological data including soil temperatures and volumetric water contents from the top 15 cm of soil were recorded and stored as half hourly averages [Grünhage et al., 2000]. 2.7. Calculations and Statistical Analysis [18] Nitrous oxide emissions are presented as log transformed averages (NZ) or arithmetic averages (Germany). The lognormal transformation was used on the NZ data after inspection showed that most of the time one particular plot was consistently higher than the rest. For the German data with two replications, such a procedure could not be justified and arithmetic means were calculated. Past experience with the German permanent grassland site showed that N2O emissions were less spatially variable than in the New Zealand field site, thereby allowing a reduction in the numbers of replicates and the use of an arithmetic mean calculation. The values are presented in the graphs as area plots. Coefficients of variation (%CV) in daily N2O fluxes and soil NH4+ and NO3 concentrations were determined for each sampling occasion. The highest individual daily %CV values observed are shown in Table 1. [19] In a final step the two data sets were combined in order to derive general relationships for N2Otot, N2Onit, and N2Oden with soil moisture, soil temperature, and mineral N (NH4+ and NO3). Combining data sets in such a way is a common practice to analyze the driving variables for the observed N 2 O tot emissions [Bouwman et al., 2002a, 2002b].These relationships are presented in 3D graphs after transforming the data with the 3D smoothing tool of SigmaPlot (version 8.02, SPSS Inc.). This procedure gives an equal weight to each individual observation and interpolates between observations. Therefore the aim of this procedure was not to calculate exact N2O emissions for each factor combination but rather to show the underlying relationships with the driving variables. 3. Results 3.1. N2Otot, N2Onit, and N2Oden Emissions 3.1.1. New Zealand [20] On an annual basis, N2O emissions from urineaffected pasture soil were 1.5 (first) to 7 times (second application) higher (P < 0.05) than N2O emissions from nontreated control plots. The N2O emissions from the 3 of 11 GB1045 MÜLLER AND SHERLOCK: N2O EMISSIONS FROM GRASSLAND ECOSYSTEMS GB1045 control plots were always below 1.9 and on average 0.7 g N2O-N ha1 d1. Average daily N2O emissions over the entire sampling period of the four N applications were 11.8 N2O-N ha1 d1 corresponding to a total loss of approximately 0.23% of the applied N (500 kg N ha1), indicating that although urine patches are major sources of N2O emissions, the relative amounts lost are quite small. Subsequent experiments using real urine on the same soil and pasture type across three different seasons showed similar total N2O losses (R. R. Sherlock, unpublished data, 2003). The maximum (Table 1) and average %CV for total N2O emissions were 113 and 41%, respectively. Over the entire experiment, on average, 31% of the total N2O flux was due to nitrification and, by difference, 69% was therefore due to denitrification (Figure 1). Highest N2Onit fractions were observed shortly after synthetic urine application when NH4+ concentrations were high (Figure 1). By 50 days after synthetic urine application, when most of the applied NH4+ had been consumed, N2O was almost exclusively produced by NO3 reduction. 3.1.2. Germany [21] Highest N2O emissions were recorded shortly after N fertilizer application (Figures 2a and 2b) with peak values of approximately 50 g N2O-N ha1 d1 (Figure 2). N2O emissions from NH4+ and NO3 treated plots were on average 11.8 and 12.3 times higher than the emissions from nontreated plots (P < 0.05). The average emission from control plots was 0.8 g N2O-N ha1 d1. Background emissions were reached approximately 60 days after N application (Figure 2). The measured N2Otot values for the NH4+ and NO3 plots had maximum %CV values of 79 and 100%, respectively (Table 1). In the NH4+ treatment the N2Onit and N2Oden amounted on average to 16 and 84%, while in the NO3 treatment they were 5 and 95% of the total N2O emissions, respectively (Figure 2). Figure 1. Nitrous oxide emission via nitrification (N2Onit) and denitrification (N2Oden) (the total nitrous oxide emission (N2Otot) is the sum of the two areas N2Onit + N2Oden), mineral N (NH4+ and NO3) concentrations and water-filled porosities (WFPS), and precipitation and soil temperature from a temperate grassland system in New Zealand over an entire year (arrows indicate times of N applications). 3.2. Soil NH4+ and NO3 Concentration 3.2.1. New Zealand [22] Highest N2O emissions were observed shortly after N application (Figure 1) showing that inorganic N substantially elevates N2O emissions. In urine patches, applied N was mainly in the form of urea which hydrolyzed rapidly to NH4+, yielding concentrations of approximately 500 mg NH4+-N g1 (Figure 1). The N treated plots showed higher NH4+ and NO3 than the control treatment (P < 0.05) for approximately 60– 100 days after N applications (Figure 1). The highest %CV values were 17 and 26% for NH4+ and NO3 concentrations, respectively (Table 1). Once nitrification began, soil nitrate concentrations increased to approximately 150 mg NO3-N g1 at 20 – 50 days after each synthetic urine application (Figure 1). 3.2.2. Germany [23] Highest N2O emissions were observed within 25 days after NH4+ and NO3 application (Figures 2a and 2b). In the NH4+ treatment the soil NH4+ concentrations peaked at 70 and 120 mg N g1 following the two applications while NO3 concentrations peaked in the NO3 treatments at approximately 120 and 200 mg N g1. Mineral N concentrations declined to background concentrations (P > 0.05) within 40 days after N application (Figure 2). The highest %CV for 4 of 11 GB1045 MÜLLER AND SHERLOCK: N2O EMISSIONS FROM GRASSLAND ECOSYSTEMS GB1045 Figure 2. Nitrous oxide emission via nitrification (N2Onit) and denitrification (N2Oden) (the total nitrous oxide emission (N2Otot) is the sum of the two areas N2Onit + N2Oden), mineral N (NH4+ and NO3) concentrations, water-filled porosities (WFPS), and precipitation and soil temperature from a temperate grassland system in Germany. (a) NH4+ fertilized. (b) NO3 fertilized. (Arrows indicate times of N applications). NH4+ and NO3 concentrations in the two N treatments ranged between 45 and 64% (Table 1). 3.3. Soil Moisture 3.3.1. New Zealand [24] Rainfall events of 15.9 mm and 46.5 mm on day 20 and day 155 (40 days after the second N application) caused sudden increases in WFPS (Figure 1) and stimulated N2O emission peaks separate from the first N-fertilizer related N2O peak (Figure 1). However, high rainfall events approximately 10 weeks after the fourth urine application (Figure 1) did not lead to emissions as high as those earlier in the season, showing that soil moisture status is an important factor for N2O emission but cannot be used as the sole predictor of high N2O emissions. Overall, 85% of the total N2O emissions from the N-treated grassland in New Zealand were observed at WFPS values above 50%. 3.3.2. Germany [25] The precipitation intensity at the German field site was more evenly distributed (Figure 2) than in the New Zealand experiment. Therefore N2O emissions related to sudden soil moisture increases were not as prominent as in 5 of 11 MÜLLER AND SHERLOCK: N2O EMISSIONS FROM GRASSLAND ECOSYSTEMS GB1045 Table 2. Percentages of N2Otot, N2Onit, and N2Oden Emitted at Various Soil Temperatures in the New Zealand (NZ) and German (DE) Grassland Ecosystem N2Otot N2Onit N2Oden Ecosystem <5C 5 – 15C >15C NZ DE NZ DE NZ DE 10 6 13 6 9 6 81 92 84 84 79 93 9 2 3 10 12 1 New Zealand. The WFPS was on average 62%, with 66% of all N2O emitted at WFPS higher than 50% (Figure 2). [26] In the combined data set (see later), 75% of all N2O emissions occurred above 60% WFPS. Of these N2O emissions, 37 and 63% were produced by nitrification and denitrification, respectively. 3.4. Soil Temperature [27] In both agricultural ecosystems the soil temperatures in the top 5 cm did not exceed 20C (Figures 1 and 2). Highest N2O emissions were observed after the fourth urine application in New Zealand (Figure 1) and the second N fertilization in Germany (Figure 2) at times when soil temperatures had increased to about 15C. The percentages of N2Otot, N2Onit, and N2Oden emitted at soil temperatures below 5C, 5 – 15C, and above 15C are presented in Table 2. More than 80% of N2Otot, N2Onit, and N2Oden emissions occurred at times when the soil temperature was between 5 and 15C (Table 2) with only small N2O emissions during other times. GB1045 applications, will stimulate the processes for N2O production. Fertilizer applications of 450 kg N ha1 as urea have resulted in small but significant N2O emissions similar in magnitude to the observed N loss via N2O in the current New Zealand study [Mosier and Hutchinson, 1981; Parton et al., 1988]. Furthermore, the observed N-induced N2O loss from the German field site is within the range of the N2O losses observed from similar managed grassland systems [Bouwman et al., 2002a]. Coefficients of variations (CV) (Table 1) for N2O emissions are in the range of CVs reported for N fertilized grasslands (CVs quoted are from 5 to 225%) [de Klein, 1994; Kester et al., 1997; Ruz-Jerez et al., 1994]). Measurements from areas which have received known nitrogen applications and unfertilized areas generally show lowest spatial variability [Denmead et al., 1979]. The N-induced N2O emissions lasted in the two studies for approximately 30– 60 days, which is in the range of the reported 5 – 8 weeks of fertilizer-induced N2O emissions [Bouwman et al., 2002a; Granli and Bøckman, 1994]. The 3.5. Factor Combinations of the Combined Data Set [28] Figures 3 – 6 present relationships of two factors on N2O emission visualized in three-dimensional plots for the entire data set. The figures are divided into two parts: Part a shows the height of the N2O emissions as related to the factor combinations while part b shows a view from above to better visualize the exact relationships of the two factors on N2O emissions. [29] Almost all N2O emissions in the two agricultural ecosystems occurred at WFPS above 60% and soil temperatures between 5 – 15C (Figure 3). Furthermore, high N2O emissions occurred over the entire mineral N range provided that WFPS was higher than 60% (Figure 4). Figure 5 investigates in more detail the relationship of WFPS in combination with NO3 on N2Oden. Highest values occur at around 80% WFPS and moderate NO3 concentrations (50 mg N g1) (Figure 5). Highest N2Onit emissions occur between 5 and 10C at high NH4+ concentrations (400 mg N g1) (Figure 6). At lower NH4+ concentrations, N2Onit emission rates were negligible. 4. Discussion 4.1. Nitrous Oxide Emissions and Their Relationship to Mineral N [30] N2O emissions from terrestrial ecosystems predominantly originate from the oxidation of NH4+ and reduction of NO3. Therefore an NH4+-forming fertilizer such as urea which undergoes nitrification, or direct NH4+ or NO 3 Figure 3. Relationship of WFPS and soil temperature on N2Otot emissions (combined New Zealand and German data set). (a) View from the side. (b) View from above. See color version of this figure in the HTML. 6 of 11 GB1045 MÜLLER AND SHERLOCK: N2O EMISSIONS FROM GRASSLAND ECOSYSTEMS GB1045 ratios which were then multiplied by independent N2Otot emission measurements to obtain N2Onit and N2Oden. We believe this procedure produced more realistic results than the usual procedure in which the resulting flux, determined solely by incubation, is not scaled by actual N2Otot emission measurements. Incubations often suffer from problems due to high spatial variability and artifacts during the incubation period [Kester et al., 1997; Koops et al., 1997; Müller et al., 1998]. For example, in field incubations it is important to use intact soil cores rather than homogenized soil to keep the internal structure intact [Kester et al., 1997; Müller et al., 1998]. Furthermore, the diffusion of acetylene to the sites where N2O is produced is inversely related to the soil moisture status. Best results are obtained at soil moistures below field capacity [Ryden and Dawson, 1982]. Diffusion constraints in poorly drained heavy textured soils with a high WFPS are usually overcome by the soil core technique where only short diffusion pathways are present [Ryden et al., 1987]. Most studies which report N2Onit and N2Oden via the acetylene method have been carried out only for a few Figure 4. Relationship of WFPS and mineral N on N2Otot emissions (combined New Zealand and German data set). (a) View from the side. (b) View from above. See color version of this figure in the HTML. application of urine in New Zealand and NH4+ in Germany resulted in higher and more prolonged N2O emissions compared to those plots receiving NO3 (Figure 2), which again is consistent with other observations [Bouwman et al., 2002a; Clayton et al., 1997]. On the basis of the soil texture (the NZ grassland soil had a coarser texture), it is surprising that the New Zealand grassland soil supported higher N2Otot emissions. However, apart from the soil texture, the age of the ecosystem is an important indicator for the N2Otot emission potential. While the grassland in New Zealand had been ploughed 4 years prior to the onset of the investigations, the German soil had not been ploughed for at least 100 years [Jäger et al., 2003]. Old ecosystems are characterized by a ‘‘tight’’ nutrient cycle and a high capacity for N retention and do not support high gaseous N losses [Müller et al., 2002; Stark and Stephen, 1997]. 4.2. N2Onit and N2Oden Emissions [31] The current in-field incubation method was used exclusively to derive N2Onit/N2Otot and N2Oden/N2Otot Figure 5. Relationship of WFPS and NO3 on N2Oden emissions (combined New Zealand and German data set). (a) View from the side. (b) View from above. See color version of this figure in the HTML. 7 of 11 GB1045 MÜLLER AND SHERLOCK: N2O EMISSIONS FROM GRASSLAND ECOSYSTEMS Figure 6. Relationship of soil temperature and NH4+ on N2Onit emissions (combined New Zealand and German data set). (a) View from the side. (b) View from above. See color version of this figure in the HTML. discrete observations and not over entire seasons as reported here. Therefore we believe the data reported here to be more representative of actual N2Onit and N2Oden emissions than much of the data reported previously. [32] Approximately 31% of the overall N2O emission from the New Zealand grassland was produced by nitrification. Highest N2Onit emissions were observed shortly after urine applications, which is consistent with observations that N2O emissions closely followed the pattern of nitrification shortly after urine application [Clough et al., 2003] or after slurry applications [Merino et al., 2001]. After NH4+ application on the German grassland site the contribution of nitrification to the overall N2O flux was on average only 16%. This provides evidence that high N2O emissions after NH4+ application may not be specifically due to nitrification. Rather, the NH4+ may actually stimulate a bigger and more active denitrifier population and hence facilitate N2O emissions via denitrification [Azam et al., 2002]. [33] The main driving variable for the division of N2Otot into N2Onit and N2Oden is considered to be WFPS [Davidson, GB1045 1991]. Below 60% WFPS nitrification and above 60% WFPS denitrification are considered to be the predominant N2O producing processes [Bouwman, 1998]. However, this arbitrary division could not be confirmed with this current data set in which, at WFPS greater than 60%, 37 and 63% of the total N2O emissions were produced by nitrification and denitrification, respectively. Furthermore, the absolute value of WFPS at which nitrification and denitrification dominate with respect to N2Otot production are also site specific (i.e., they depend on soil texture). In finer grained soils it can be expected that anaerobic microsites can develop at much lower WFPS values than in coarser soil [Davidson, 1991]. Shortly after the fourth urine application in the New Zealand study the predominant process leading to N2O emission was nitrification while the soil itself was near saturation, a condition usually known to favor denitrification but not nitrification [Arah et al., 1991]. This highlights the fact that nitrification makes a high contribution, or even is the dominant N2O producing process, during high soil moistures. Even under near-saturated conditions it can still be important, as observed in several other studies on N fertilized temperate grassland soil [Ambus, 1998; Clough et al., 2003; Davidson, 1993; Koops et al., 1997; Robertson and Kuenen, 1991]. Nitrous oxide emissions via nitrification are most likely produced under coinciding aerobic and anaerobic conditions as a nitrite-reducing side reaction (‘‘nitrifier-denitrification’’) [Payne, 1991; Wrage et al., 2001]. On the other hand, even during summer periods under low soil moisture it was found in a subsequent in-field 15N study on the German grassland field site that denitrification was the exclusive N2O production process [Müller et al., 2004]. [34] Therefore the conceptual model that N2Onit and N2Oden can be related to the WFPS of the soil [Bouwman, 1998] may in many instances be incorrect and can lead to erroneous results because there does not seem to be such a clear-cut division between WFPS where predominantly N2Onit or N2Oden occurs. Furthermore, the ‘‘hole-in-thepipe model’’ (HIP) is often used to predict N2O from nitrification and denitrification assuming that N 2 O nit and N2Oden are related to the underlying process rates [Bouwman, 1998]. However, in practice the N2Otot emissions are often related to the mineral N pool sizes and not gross N transformation rates, which provides only ‘‘broadbrush’’ accuracies for biogeochemical models [Davidson and Verchot, 2000]. A more accurate prediction requires knowledge of the gross N transformations of nitrification and denitrification and the relationships of these N rates to N2O production under various soil temperature-moisture conditions [Müller, 2000]. [35] The analysis of N2Oden and N2Onit with closely related factors, i.e., N2Oden with NO3 and WFPS (Figure 5) and N2Onit with NH4+ and soil temperature (Figure 6), shows that more accurate relationships can be derived for the processrelated N2O emissions. These kinds of analyses will also help to derive more accurate functions for model developments. 4.3. Soil Moisture-Precipitation [36] There is a general trend that N2O emissions do increase with soil moisture, in particular above 60% WFPS, over the entire mineral N range (Figure 4) [Clayton et al., 8 of 11 GB1045 MÜLLER AND SHERLOCK: N2O EMISSIONS FROM GRASSLAND ECOSYSTEMS 1997; Dendooven and Anderson, 1994; Dendooven et al., 1994]. For the combined data set, 75% of the total N2O was emitted at WFPS >60% WFPS. Above this, soil moisture level is considered to be the regime where rapidly increasing denitrification promotes the onset of anaerobic conditions and denitrification [Arah et al., 1991]. Transient increases in WFPS due to large rainfall events stimulate high N2O emissions even at times when the initial fertilizerinduced N2O emission has subsided (e.g., days 20 and 155 after start of experiment, Figure 1), which again is in line with other studies on temperate grassland [Tilsner et al., 2003]. One explanation for large N2O peaks, in particular in the New Zealand study, after sudden soil moisture changes may be an imbalance between NO and N2O reductase promoting transient N2O buildup and release [Cates and Keeney, 1987]. 4.4. Soil Temperature [37] Highest N2O emissions coincide with times when both the soil moisture and soil temperature are high (Figure 3). This is not surprising, since increasing soil temperature positively influences the rates of both nitrification and denitrification [Goodroad and Keeney, 1984] and also the N2O emissions [Cates and Keeney, 1987]. The temperature maximum where the highest N2O emissions occurred ranged in this study between 10 and 15C (Table 2). However, this is lower than the maximum N2O emissions at 20C reported in other studies [Clayton et al., 1997]. This apparent discrepancy is related to the timing of fertilizer application. While in the Clayton study [Clayton et al., 1997] the fertilizer was applied at times of maximum soil temperature (early and mid-summer), in the study reported here the fertilizer was applied when the soil temperature was lower (Figures 1 and 2). Since N availability is one of the most important N2O-driving variables, the soil temperature at the time of fertilization has to be considered when deriving temperature relationships. For the derivation of conceptual N2O production/emission models it should be stressed that the soil temperature is only a key variable under conditions when nutrient levels are adequate and microbial activities are limited by enzyme rates rather than by the transport of substrate to the membranes [Conrad, 1996]. [38] Freezing-thawing cycles are not included in the data because these conditions did not occur in the New Zealand study and would have influenced the overall relationships. However, N2O emission during freezing-thawing does occur in the German grassland system and can cause large N2O emissions [Müller et al., 2003, 2002]. 4.5. Overall Relationships [39] We were able to derive detailed relationships because of the high sampling frequency with a total of 252 measurements together with accompanying data. This is several times more than from other experimental data sets on temperate grassland (e.g., Tilsner et al. [2003] presented only 50 measurements over 1 year). In other studies the often only weak relationships are related to the high CVs associated with the few N2O emission measurements [Kester et al., 1997; Tilsner et al., 2003]. Furthermore, GB1045 correlations of N2O emissions with single factors are usually weak [Davidson and Verchot, 2000]. This highlights the fact that combinations of factors are required for the prediction of N2O emissions from soil, which leads to the development of simple mathematical models [Bouwman et al., 2002b]. The three most important factors which influence N2O emissions from grassland soils are inorganic N concentrations, soil moisture, and soil temperature. The interactions of these factors on N2O emissions are well documented for temperate grassland [Granli and Bøckman, 1994; Ryden, 1981] and subtropical pasture [Brams et al., 1990]. This is also demonstrated here for N2Otot and its relationship to WFPS and soil temperature (Figure 3) and N 2 O tot and its relationship to WFPS and mineral N (Figure 4). N transformations, and therefore the buildup of mineral N (NO3 and NH4+), are related to soil moisture and soil temperature, and the combination of all three can promote N2O emissions from soils under pasture [Monaghan and Barraclough, 1993]. The relationships of N2O emissions with the underlying variables can be visualized very well with 3D-Mesh plots (Figures 3 – 6) [Clayton et al., 1997]. This new analysis of process-related N2Oden with WFPS and NO3 and N2Onit with soil temperature and NH4+ should help in the development of more accurate relationships for the prediction of N2O emissions. [40] A promising new method to analyze the complex interactions of factors on N2O emissions is the application of artificial neural networks (ANN). The NZ data set presented here was included in an ANN study. The ANN model was able to predict 92% of the variability of N2O emissions from temperate grassland soil in NZ from relationships with daily rainfall, soil moisture, soil temperature, soil NH4+, soil NO3, and total mineral N [Ryan et al., 2004]. Furthermore, the NZ data set presented was also used in a validation study of the DayCent model [Parton et al., 1998]. DayCent overestimated the measured N 2 O tot emission by more than three times [Stehfest and Müller, 2004]. The validation study with the detailed data set highlighted specific areas where DayCent needs to be further developed. 4.6. Other Factors [41] Other factors which influence N2O emissions are soil pH and easily metabolizable carbon [Granli and Bøckman, 1994]. However, no significant correlation between soil pH and N2O was observed (data not presented). Concentrations of water soluble carbon were high enough at both field sites that they did not appear to limit N2O production by denitrification [Burford and Bremner, 1975]. The lack of correlation between pH, WSC, and N2Otot is not surprising because the data were within the published ranges where they should have no influence on denitrifier or nitrifier activity [Conrad, 1996]. Plant N uptake may have had a short-term effect on N2O emissions when the soil inorganic N pool was small and was therefore not consistent over the whole year. 5. Conclusions [42] Detailed measurements of the process-based N2O emission, N2Onit, and N2Oden, together with the influencing 9 of 11 GB1045 MÜLLER AND SHERLOCK: N2O EMISSIONS FROM GRASSLAND ECOSYSTEMS variables, enhances the understanding of N2O emissions from temperate grassland soils. Despite the totally different management of the grassland sites in the Southern (New Zealand) and Northern (Germany) Hemispheres, the relationships of the influencing variables to N2Otot, N2Onit, and N2Oden emissions appear to be uniform. 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