|
|
||||||||
a USDA-ARS, Soil and Water Management Unit, 1991 Upper Buford Circle, St. Paul, MN 55108
b Department of Plant Sciences, One Shields Avenue, University of California, Davis, CA 95616
c Department of Soil, Water, and Climate, 1991 Upper Buford Circle, University of Minnesota, St. Paul, MN 55108
d Current address: USDA-ARS, North Central Soil Conservation Research Laboratory, 803 Iowa Avenue, Morris, MN 56267
* Corresponding author (venterea{at}umn.edu)
Received for publication January 19, 2005.
| ABSTRACT |
|---|
|
|
|---|
Abbreviations: AA, anhydrous ammonia BU, broadcast urea CsT, conservation tillage CT, conventional tillage GHG, greenhouse gas GWP, global warming potential NT, no till UAN, urea ammonium nitrate WFPS, water-filled pore space
| INTRODUCTION |
|---|
|
|
|---|
Model projections suggest that the north central region of the United States contributes 25 to 33% of soil N2O emissions generated by agriculture within the entire United States (Li et al., 1996; Mummey et al., 1998). However, very limited information is available regarding the effects of tillage, or other management practices, on non-CO2 GHGs within this region (Johnson et al., 2005). Goodroad et al. (1984) found increased growing season N2O fluxes from corn under reduced tillage in Wisconsin compared to plowed plots. Similarly, Robertson et al. (2000) found that N2O emissions under no till were slightly higher than a conventional system, and represented a small offset (approximately 3.6%) to soil C gains over 10 yr. Except for the accumulation of soil C that occurred under no till, N2O emissions represented the greatest single component of the GHG budget (Robertson et al., 2000). In contrast to these studies, Jacinthe and Dick (1997) and Kessavalou et al. (1998) reported higher N2O emissions under conventional tillage compared to no till plots in Ohio and Nebraska, respectively. More recently, Six et al. (2004) concluded that long-term tillage effects on total GHG emissions depend both on climatic regime and duration of the adoption period. There is little consensus within the central United States, or anywhere else, whether reduced tillage leads to increased or decreased N2O emissions and what the most important factors are in regulating the magnitude, or direction, of the effect.
There is also little information regarding tillage effects on emissions of nitric oxide (NO) gas. Soil NO emissions can significantly affect tropospheric ozone (O3) production, particularly in rural regions (National Research Council, 1992). Ozone is an important GHG, although estimation of its GWP is highly uncertain (Albritton et al., 1995). Perhaps more importantly, O3 phytotoxicity results in more than $2 billion per year in crop damage in the United States (Delucchi et al., 1996). Very few studies have examined long-term tillage effects simultaneously with the effects of fertilizer management, the latter of which can strongly influence both NO and N2O emissions (Amos et al., 2005; Mosier et al., 1998; Veldkamp and Keller, 1997). Emissions of NO can also represent substantial losses of fertilizer N in some cases (Veldkamp and Keller, 1997). The objective of the current study was to examine the impact of long-term tillage management, together with fertilizer practices, on N2O, CH4, and NO gas emissions within a corn (Zea mays L.)soybean [Glycine max (L.) Merr.] rotation in southeastern Minnesota.
| MATERIALS AND METHODS |
|---|
|
|
|---|
|
Gas samples were analyzed within 3 d of collection by gas chromatography (GC) using a headspace autosampler (Teledyne Tekmar, Mason, OH). The autosampler was modified by replacing the factory-supplied sample valve with a 14-port valve (Valco Instruments, Houston, TX), which permitted separate sample loops to be filled simultaneously from the same vial. Separate sample lines went to two different GCs (5890; Hewlett-Packard, Palo Alto, CA), one equipped with a flame ionization detector for CH4 and the other equipped with an electron capture detector for N2O. The system was calibrated using analytical grade standards (Scott Specialty Gases, Plumsteadville, PA). Gas fluxes were calculated from the rate of change in chamber concentration, chamber volume, and soil surface area using the formulation of Hutchinson and Mosier (1981). Chamber gas concentrations were converted from molar mixing ratio units (e.g., ppm) determined by GC analysis to mass per volume units (e.g., ng N m3) assuming ideal gas relations using air temperatures during sampling.
Dynamic chamber methods were used to measure soil-to-atmosphere fluxes of NO. A chamber top of identical construction as above was also equipped with inlet and outlet ports, each connected to 10-cm-long perforated gas manifolds inside of the chamber. The ports were connected to a chemiluminescent NOx analyzer (LMA 3D; Unisearch Associates, Concord, ON, Canada) via PTFE tubing encased within opaque plastic tubing. Using a vacuum pump inside the analyzer, chamber air was first passed through CrO3coated diatomaceous media (Unisearch) to convert NO to nitrogen dioxide (NO2) before entering the analyzer which detects NO2. The air stream was continuously recirculated through the chamber and analyzer at 0.06 m3 h1 (1 L min1) for 3 to 5 min. Air leaving the analyzer was passed through KMnO4coated porous silica (Purafil, Doraville, GA) to ensure complete removal of NOx. Concentrations of NO were manually recorded every 30 s. Flux was calculated from the linear rate of change in concentration accounting for NO scrubbing (Venterea et al., 2003). The gas flow rate was low relative to chamber volume (approximately 16 L), so that scrubbing itself did not result in a net decrease in NO concentrations over time except when fluxes were <2 µg NO-N m2 h1.
In 2003, chamber bases were installed in both inter-row and row locations (one in each location per plot for a total of 18 bases in nine plots). Bases in inter-row locations were centered between rows with long sides perpendicular to the row. Bases in row locations were placed parallel with and centered on the row. Flux measurements from inter-row locations began on 28 May and continued until 20 November. Flux measurements from row locations began on 28 May and were terminated on 3 July. Due to instrument problems, CH4 fluxes were not obtained for the first five sampling events in 2003. Corn was harvested on 14 October, and fall tillage occurred on 3 November. Measurements from row locations were also made post-harvest through 4 November.
In 2004, flux measurements were made primarily from inter-row locations using one chamber in each of the 27 subplots. After 23 June 2004, additional measurements were made using nine chambers installed in row locations in the AA subplots only. Measurements of N2O and CH4 fluxes began on 26 April (14 d before planting) and continued until 23 November. Corn was harvested on 10 November and fall tillage occurred on 17 November. Measurement of NO fluxes occurred during 5 May to 5 August.
Ancillary Variables
Soil temperature was measured during chamber deployment periods using soil temperature probes (Fisher, Hampton, NH) inserted to 1- and 5-cm depths within 1 m of each chamber. Air temperature was measured using a thermocouple placed in the shade of the corn canopy when present. Air temperature and daily precipitation data were also obtained from a weather station l km from the plots. Soil water content was determined in soils collected within 1 h of each flux measurement period using a steel core sampler (1.83-cm i.d.). Two or three cores from each plot were combined before drying for 12 to 24 h at 105°C. In 2003, samples were collected over the 0- to 10-cm depth. In 2004, samples were collected over the 0- to 10- and 10- to 20-cm depths. Bulk density was determined on 10 June, 15 July, and 17 Sept. 2004 by collecting three 7.6-cm-i.d. x 7.6-cm-long core samples from the inter-row region followed by drying at 105°C. Core samples from AA subplots were analyzed separately, while samples from UAN and BU subplots were pooled. Bulk density values interpolated between sampling dates were used to estimate water-filled pore space (WFPS) in the upper 0 to 10 cm in 2004.
Soil samples were collected periodically for inorganic N analysis. Three or four samples per subplot were collected from the inter-row region over 0 to 10 and 10 to 20 cm (2004 only) using the steel core sampler and transferred to plastic bags. In the AA subplots, samples were taken from the center 5 cm of the inter-row region. Within 48 h of collection, soils were homogenized manually, then extracted in 2 M KCl for 1 h at a soil to liquid ratio of 1:4. After settling for 24 h, extracts were filtered (no. 42; Whatman, Maidstone, UK) and stored (20°C) until analysis. Filtrate samples were analyzed for ammonium
-N and the sum of nitrite (NO2)-N + [NO3]-N using a flow-through injection analyzer (Lachat, Milwaukee, WI).
Data Analysis and Statistics
We estimated total integrated gas emissions from each plot or subplot during each growing season assuming that measured fluxes represented mean daily fluxes, and that mean daily fluxes changed linearly between measurements. Fluxes of N2O and CH4 were converted to greenhouse gas units (CO2 equivalents) using 100-yr horizon GWPs (297 and 23, respectively, for N2O and CH4) (Intergovernmental Panel on Climate Change, 2001). Integrated emission data from 2004 were evaluated by analysis of variance (ANOVA) appropriate to a split-plot design with tillage as the main effect and fertilizer type as the sub-plot effect. Flux data from 2004 were evaluated by ANOVA for split-plot design with multiple observations in time. Integrated emissions from BU plots in 2003 were evaluated by single-factor ANOVA, and flux data were evaluated by ANOVA with multiple observations in time. Means among different treatments were compared using least significant differences (LSD). Least significant difference values were calculated manually using error mean squares obtained by ANOVA or GLM procedures in SAS (SAS Institute, 2001) and critical t values (Gomez and Gomez, 1984). Untransformed NO, N2O, and total GHG equivalents data were non-normally distributed (positively skewed). Preliminary ANOVA using untransformed data indicated that variances increased in proportion to treatment means and that residuals were not normally distributed. Logarithm (base 10) transformation rectified these issues and therefore the reported ANOVA and regression analyses were performed on log-transformed data (this was not required for CH4 data). Tabulated and plotted data are shown in original units (untransformed) to aid interpretation. Regression analyses were conducted using Statgraphics (Statgraphics, 2001).
| RESULTS |
|---|
|
|
|---|
|
|
|
|
|
|
|
0.01 g H2O g1). In 2003, there were no significant differences in soil water content. Mean WFPS in 2004 tended to be higher under NT (57 and 64% in the AA and UAN/BU subplots, respectively) compared to CT (57 and 61%) and CsT (55 and 62%). Across all measurements in both years, mean soil temperature (at 5 cm) was higher (p < 0.05) under CT (16.9°C) compared to NT and CsT (each 16.7°C). Apart from elevated fluxes observed during the 3 to 5 wk after fertilizer application, N2O fluxes were generally 10 to 100 µg N m2 h1. Increases above this range were not observed in response to wetting events. Following 26 mm of rain that occurred on 20 Aug. 2003, resulting in a dramatic increase in soil water content, fluxes measured the following day were higher than fluxes measured on 15 August (Fig. 2). The magnitude of fluxes on this date were small (<10%) compared to peak fluxes of approximately 300 µg N m2 h1 apparently induced by fertilizer application. In 2004, following rainfall events of 21, 64, and 95 mm occurring on 16 August, 5 September, and 1415 September, respectively, N2O fluxes measured 1 to 5 d later displayed no significant increase above apparent baseline levels (Fig. 3). We also saw no response in N2O fluxes measured 20 and 90 h after the addition of 50 mm of simulated rainfall on 4 Sept. 2004 to separate inter-row chamber bases (data not shown). Fluxes of N2O in CT and CsT plots on the day following fall tillage in 2003 were eight- and fivefold higher, respectively, compared to measurements made 5 d earlier. Further increases were observed in CsT plots 4 d following tillage, although these increases may have also been related to soil temperature dynamics (Fig. 2b, 2c). Similarly, on the day following fall tillage in 2004, N2O fluxes in CT and CsT plots displayed four- to fivefold increases compared to measurements made 2 to 3 h before tillage. In all cases, fluxes measured within a few days after tillage were small in relation to fluxes measured 3 to 5 wk after fertilizer application.
Significant variations in weather were observed between the 2003 and 2004 growing seasons. In 2004, precipitation during March through October (724 mm) was similar to the 30-yr mean value (738 mm), while precipitation during the same period in 2003 (514 mm) was 40% lower (Fig. 2a, 3a). Mean daily temperature during June through August was 19.0°C in 2004 compared to 20.6°C in 2003 (Fig. 2b, 3b). These factors resulted in higher mean soil water content (010 cm) during 2004 (0.23 ± 0.001 g H2O g1) compared to 2003 (0.20 ± 0.002) (p < 0.001). Despite wetter soil conditions in 2004, neither mean N2O fluxes nor integrated emissions in BU-amended plots compared over equivalent seasonal periods (28 May23 November) differed significantly between years (p > 0.65).
Emissions of CH4 were negative on the majority of sampling dates (Fig. 2d, 4) indicating net CH4 uptake (consumption). In 2004, there was a significant tillage-by-fertilizer interaction effect on both mean CH4 flux (p = 0.018) and integrated emissions (p = 0.011). Methane uptake tended to increase in the order CT < CsT < NT in the UAN and BU treatments, while the reverse pattern (NT < CsT < CT) was observed in the AA treatment (Table 1, Fig. 5b). There were no significant main effects of tillage in 2003 or 2004 or fertilizer in 2004 (p > 0.25). There was a highly significant difference in mean uptake rates between growing seasons (p < 0.001). In the drier year (2003), mean uptake in the BU treatment across all tillage treatments was nearly three times higher (9.0 ± 1.4 µg CH4C m2 h1) than in 2004 (3.2 ± 0.3 µg CH4C m2 h1). Total uptake compared over equivalent seasonal periods in the BU treatments was 35 ± 7.6 mg CH4C m2 in 2003 compared to 13 ± 2.5 mg CH4C m2 in 2004 (p < 0.003). There were no apparent short-term effects of tillage on CH4 fluxes. A cluster of positive CH4 fluxes occurred within days following tillage in 2003, although this also occurred in the NT treatment (Fig. 2d). There were no significant correlations between CH4 flux and soil properties or N2O flux.
Differences in calculated total non-CO2 GHG emissions followed the same or similar trends as N2O emissions due to the predominant contribution of N2O to total CO2 equivalents (Fig. 5c). Tillage had a significant effect on non-CO2 GHGs in BU-amended plots in 2003 (p = 0.023), while a significant tillage-by-fertilizer interaction (p = 0.036) and a highly significant fertilizer effect (p < 0.0001) were found in 2004. Expressed in CO2 equivalents, mean N2O + CH4 emissions represented CO2 emissions of 0.15 to 1.9 Mg CO2 ha1 yr1, corresponding to 0.04 to 0.53 Mg soil-C ha1 yr1. In the BU treatment in 2004, the NT plots displayed mean total non-CO2 GHGs emissions that were 0.05 Mg soil-C ha1 yr1 greater than CT. Conversely, in the AA-fertilizer treatment, NT plots emitted 0.16 and 0.23 Mg soil-C ha1 yr1 less than CT and CsT, respectively.
Nitric Oxide and Total Nitrogen Oxides
Similar to N2O, peak NO fluxes occurred within a few days to 4 wk following fertilizer application, with the greatest lag period between fertilizer application and peak fluxes occurring in the AA treatment (Fig. 6)
. The tillage-by-fertilizer interaction effect on NO emissions was significant at p = 0.067 and p = 0.093 for mean flux and integrated emissions, respectively. The only significant difference in NO emissions with tillage occurred in the AA treatment where, in contrast to N2O, mean and integrated NO fluxes were higher under NT than CT (p < 0.05, Table 1, Fig. 7)
. Also in contrast to N2O, NO fluxes and integrated emissions in the BU treatment under CT were greater than in the AA and UAN treatments (p < 0.05). The contrasting patterns in NO and N2O emissions between fertilizer treatments resulted in similar total NO + N2O emissions in the AA and BU treatments, which were both significantly greater than in the UAN treatment (p = 0.036, Fig. 7). Total NO + N2O emissions did not differ by tillage within any of the fertilizer treatments (Fig. 7). The ratio of NO to N2O flux was negatively correlated (p < 0.001) with soil water content at 0 to 10 cm (r2 = 0.05) and 10 to 20 cm (r2 = 0.12), but was not correlated with WFPS (010 cm).
|
|
The above data were considered in deciding how to estimate total integrated emissions. For CH4, and for N2O treated with UAN and BU, we assumed that inter-row chamber fluxes were representative of the entire surface area because no significant differences in row versus inter-row fluxes were observed for CH4, or for N2O during the peak N2O flux periods. Part of the reason for higher inter-row N2O fluxes in the AA treatment was likely the nonuniformity of the line-injection application method compared to more uniformly applied UAN and BU. Studies have shown that inorganic N levels following AA injection tend to decrease sharply within 10 cm of the injection line even several weeks after application (McIntosh and Frederick, 1958). We therefore assumed during the period following AA application and before UAN application (5 May23 June) that N2O and NO fluxes from the nonmeasured row region in the AA treatment (covering an area located 2537 cm from the injection line) were equal to fluxes in the inter-row region of the unfertilized UAN subplot within the same plot. Following UAN application, we installed additional chamber bases in the row region of the AA subplots and measured fluxes from these locations until late July (this required removal of some plants). Integrated N2O (Fig. 5a) and NO (Fig. 7) emissions were calculated by weighting the inter-row and row fluxes according to their proportion of the total area (0.67 and 0.33, respectively). It should be noted that even if we assumed that fluxes from the row region in the AA subplots were zero for the entire season, the resulting integrated N2O emissions in the AA treatment (300 ± 39 mg N m2) were still two to four times greater and statistically higher than in the UAN and BU treatments.
| DISCUSSION |
|---|
|
|
|---|
Studies have shown that vertical distributions of aerobic and anaerobic microbial populations and potential denitrifying activity tend to vary in plowed versus untilled soil profiles. Using agricultural soils from three sites in the midwestern United States, Linn and Doran (1984a) found that facultative anaerobe populations and potential denitrification rates were higher in the upper 7.5 cm under NT compared to CT. Conversely, over the 15- to 30-cm depth, plowed soils contained more facultative anaerobes and tended to have higher potential denitrification rates. Similarly, Groffman (1985) observed higher denitrification activity under NT compared to CT in the top 5 cm of a Georgia agricultural soil and the reverse pattern at greater depth. The patterns in field N2O emissions observed in the current study are consistent with these previous findings. Injection of AA fertilizer below the most active denitrifying zone in the NT treatment may have first of all resulted in less denitrifying activity compared to CT in the 10- to 20-cm zone. Higher WFPS under NT in the overlying 0- to 10-cm zone may have further reduced net N2O emissions by enhancing reducing conditions, thereby promoting the reduction of N2O to nitrogen (N2) during transport toward the soil surface (Linn and Doran, 1984b). Conversely, surface-applied urea would be expected to stimulate more denitrifying activity in the upper soil layers, thereby favoring more denitrification under NT compared to CT. The inorganic N data support the above explanation. During the period of highest N2O emission in 2004 (11 May1 August), 62% of the soil inorganic N measured in the upper 20 cm in BU plots was found in the upper 10 cm, compared to 38% in the AA treatment. The patterns of correlation between N2O flux and soil water content and WFPS (see Results, above) also support the idea that the primary zones of N2O production varied in the AA (1020 cm) and BU (010 cm) treatments, consistent with the above discussion.
The low degree of correlation (r2 < 0.07) between N2O flux and moisture parameters was likely due to the well-drained nature of the site soil. The loess-derived silt loam is underlain starting at the 60- to 100-cm depth by outwash sands, facilitating drainage. Previous studies in fertilized systems have shown that the highest N2O fluxes occurred when WFPS was 70 to 90% (e.g., Dobbie et al., 1999). Values of WFPS above 70% (approximately 0.25 g H2O g1) were attained in this study, but were not maintained for extensive periods (Fig. 2a, 3a). The temporal dynamics of N2O (and NO) emissions exhibited a near-Gaussian response to fertilizer applications, and did not appear to be driven by rainfall events that occurred before, during, or after the apparent fertilizer-induced response (Fig. 2, 3, 6). This was also supported by the lack of response to simulated rainfall. The data therefore suggest that growing season N2O production at this site was limited more by NO3 levels and/or other factors than by anaerobic status. We also observed no significant correlation between NO flux and WFPS, as might be expected (e.g., Davidson, 1993). There was a weak negative correlation (r2
0.12) between NO flux and soil water content. As pointed out by Ludwig et al. (2001), it is the interaction of multiple factors including water content, temperature, N availability, and N process rates that ultimately controls net NO flux. Atmospheric NO concentrations can also impact NO emissions because increasing atmospheric NO favors soil NO uptake (Conrad, 1994). However, when soil production processes are highly dynamic, as expected following N application, it is difficult to assess the importance of aboveground NO levels on soil NO emissions. The "NO compensation point," defined as the atmospheric NO concentration at which soil NO consumption completely balances NO production, has been found to vary over nearly three orders of magnitude, and this variation is likely due to wide variation in soil production rates (Ludwig et al., 2001).
There was a trend toward higher NO emissions in the BU compared to AA and UAN treatments (Fig. 7). With more N cycling (nitrification and denitrification) and NO production presumed to be occurring closer to the soilatmosphere interface (010 cm zone) following surface BU application, there would be less opportunity for highly reactive NO to be transformed to other N species before its release to the atmosphere (Venterea and Rolston, 2002). While there may have been comparable rates of NO production occurring in the 10- to 20-cm zone in the AA treatment, transformation of NO to N2O (and other N species) during its transport to the surface would be favored by greater residence times.
Our estimates of total N2O integrated emissions in the UAN and BU treatments (approximately 130 and 80120 mg N m2, respectively, across tillage treatments) are consistent with the 1997 Intergovernmental Panel on Climate Change (IPCC) estimates for N2O emissions (Mosier et al., 1998). The IPCC estimate assumes that 10% of the applied N is lost as NH3 and NO, and that 0.25 to 2.25% of the remaining N is emitted as N2O. In the current case (120 kg N ha1 applied), the estimates range from 27 to 240 mg N m2. Emissions from the AA treatment under CT and CsT were approximately three times greater than the mid-range of the IPCC estimate and about 1.5 times greater than the upper limit, while emissions under AA/NT were close to the upper limit. Peak N2O emissions in the range of 1 to 4 mg N m2 h1 have also been observed following AA application to corn and other crops (Bremner et al., 1981; Eichner, 1990; Thornton et al., 1996; Venterea and Rolston, 2000). Emissions of N2O induced by AA application have, in general, tended to be higher than other synthetic N fertilizers (Bouwman et al., 2002). Venterea and Rolston (2000)( 2002) attributed at least some of the elevated emissions under AA to the accumulation of NO2 and its subsequent involvement in biotic and abiotic reactions. While not measured here, the tendency for NO2 to accumulate following AA application has been known for decades (Chalk et al., 1975) and has been attributed to the greater sensitivity of NO2oxidizing bacteria to free NH3 toxicity than NH4+oxidizing bacteria (Van Cleemput and Samater, 1996).
Data reported here represent more than 2000 individual chamber measurements of each GHG flux and 400 measurements of NO flux, with an average frequency of two measurement dates per week. Integrated emissions in previous studies have been made utilizing measurements with equal or lesser sampling frequency (e.g., Goodroad et al., 1984; Jacinthe and Dick, 1997; Palma et al., 1997). Uncertainties regarding total emissions estimates remain as an inherent limitation of chamber-based flux methods. Measurement of fluxes in the row region comprising a fast-growing crop are particularly problematic given the constraints imposed by chamber height, since method sensitivity to baseline fluxes decreases in proportion to chamber height unless deployment time is increased proportionately. Our trials during 2003 indicated that attempting to force corn plants inside of the 10-cm-high chambers for row measurements caused plant damage within a few weeks of seedling emergence. While the focus of this study was growing season response to fertilizer inputs, a possible additional source of N2O emissions is that occurring during thawfreeze cycles (e.g., Nyborg et al., 1997). In the autumn of both years, we made several measurements while soils were relatively wet and near 0°C in the upper few centimeters, and found no evidence for "bursts" of N2O flux greater than 10 to 20 µg N m2 h1. The period of December through late April, however, was not encompassed by this study, and it is possible that significant fluxes could have been occurring during this time.
The higher CH4 uptake rates observed here under reduced tillage in the UAN- and BU- fertilized subplots are consistent with previous studies (Cochran et al., 1997; Hütsch, 1998; Kessavalou et al., 1998; Robertson et al., 2000). This effect has been attributed to more stable and porous soil structure under reduced tillage that facilitate CH4 diffusion into oxidizing zones (Ball et al., 1997), and to negative effects of tillage on methanotrophic activity (Hütsch, 1998, 2001). To our knowledge, the reverse pattern observed here under AA fertilization has not been previously reported. This effect may have been related to competitive inhibition of methanotrophic enzyme systems due to substrate similarity between CH4 and NH4+ (or NH3) and possibly to noncompetitive inhibition from NO2, which has been found to accumulate after AA application (Hütsch, 2001). The high soil pH and NH4+/NH3 concentrations that follow AA application can also alter the ratio of different classes of microbial populations (Eno and Blue, 1954) and release significant amounts of dissolved organic C (Clay et al., 1995). These impacts may have altered the activities of methanogenic and methanotrophic microbes. The greater CH4 uptake observed in the drier year (2003) was likely due to enhanced diffusion of atmospheric CH4 into soil under drier conditions (Ball et al., 1997). The current findings suggest that CH4 uptake can, under some circumstances, make a nontrivial contribution to the total net balance of GHGs in well-drained agricultural soils. In the BU/CT treatment in 2003, CH4 uptake represented 19% of the total non-CO2 GHG budget, while in all other treatments the contribution was <5%.
| CONCLUSIONS |
|---|
|
|
|---|
| ACKNOWLEDGMENTS |
|---|
| NOTES |
|---|
|
|
|---|
| REFERENCES |
|---|
|
|
|---|
Related articles in JEQ:
This article has been cited by other articles:
![]() |
A. D. Halvorson, S. J. Del Grosso, and C. A. Reule Nitrogen, Tillage, and Crop Rotation Effects on Nitrous Oxide Emissions from Irrigated Cropping Systems J. Environ. Qual., June 23, 2008; 37(4): 1337 - 1344. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. T. Venterea and A. J. Stanenas Profile Analysis and Modeling of Reduced Tillage Effects on Soil Nitrous Oxide Flux J. Environ. Qual., June 23, 2008; 37(4): 1360 - 1367. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. J. Del Grosso, A. D. Halvorson, and W. J. Parton Testing DAYCENT Model Simulations of Corn Yields and Nitrous Oxide Emissions in Irrigated Tillage Systems in Colorado J. Environ. Qual., June 23, 2008; 37(4): 1383 - 1389. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. P. Dusenbury, R. E. Engel, P. R. Miller, R. L. Lemke, and R. Wallander Nitrous oxide emissions from a Northern Great Plains soil as influenced by nitrogen management and cropping systems. J. Environ. Qual., |