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a School of Natural Resources, The Ohio State Univ., 2021 Coffey Rd., Columbus, OH 43210 USA
b National Soil Survey Center, USDA-NRCS, 100 Centennial Mall North, Rm. 152., Lincoln, NE 68508-3868 USA
rmbajra{at}ccsl.com.np
| ABSTRACT |
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2-wk intervals between July 1995 and June 1997. The CO2 evolved from the soil surface varied significantly among seasons ranging from 0 g C m-2 d-1 in the winter to
1.6 g C m-2 d-1 during the summer. Soil erosion phase had no direct effect on C flux from the soil, although depositional areas had 20 to 25% higher water content than other phases, while severely eroded and depositional areas generally had higher soil temperatures than slightly and moderately eroded phases. Soil C flux exhibited diurnal variations with high values differing from lows by as much as 0.04 g C m-2 h-1. Peak flux rates as high as 0.082 g C m-2 h-1 occurred during the mid afternoon during the spring, summer, and autumn seasons. Soil C flux was significantly correlated with soil temperature
and air temperature
but not with soil moisture content.
Abbreviations: CT, conventional tillage DEP, deposition phase GC, gas chromatograph NT, no-tillage MOD, moderately eroded PVC, polyvinyl chloride SEV, severely eroded SLI, slightly eroded SOC, soil organic C
| INTRODUCTION |
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Land use and soil management practices significantly impact soil organic C (SOC) dynamics and C flux from the soil (Paustian et al., 1995; Bajtes, 1996), although the mechanisms and processes of C sequestration in soil are not completely understood (Lal et al., 1995b; Bajracharya et al., 1998). Many studies have focused on CO2 evolution from forestland or pasture, and numerous have involved monitoring CO2 flux from croplands. However, relatively little information is available about land use effects on C flux from soil, with particular regard to erosion's impact. Soil erosion is likely to influence C flux and dynamics through its effects on a number of processes. These include (i) removal of SOC-rich topsoil and exposure of low SOC subsoil, (ii) burial of soil by sediment deposition, (iii) texture change associated with subsoil exposure and subsequent mineralorganic matter interactions, (iv) microbial activity due to soil moisture and temperature changes, and (v) plant growth and residue amounts.
Franzluebbers et al. (1995) studied the effect of tillage method and crop rotation on CO2 evolution from a silty clay loam soil in south-entral Texas. Mean CO2 evolution rates for sorghum [Sorghum bicolor (L.) Moench]wheat (Triticum aestivum L.)soybean [Glycine max (L.) Merr.] and wheatsoybean rotations under conventional tillage (CT) ranged from 1.55 to 2.45 g C m-2 d-1. No-till (NT) treatment resulted in 9 to 12% higher evolution rates for sorghumwheatsoybean rotations compared with CT. Soil temperature, soil moisture, and day of the season (reflecting residue decomposition) explained 65 to 98% of the temporal variation. The study indicated that conversion from CT to NT increased C sequestration in soil, but soil under NT released similar or greater amounts of C as evolved CO2, depending on the cropping sequence.
Lal et al. (1995b) in central Ohio observed CO2 flux during midsummer to be highest (0.80 g C m-2 h-1) for alfalfa (Medicago sativa L.), followed by corn (Zea mays L.) and woodland (0.37 g C m-2 h-1), although CO2 concentration in soil air at the 150-mm depth was in the order: woodland (1113 µL L-1) > alfalfa (1081 µL L-1) > corn (851 µL L-1). Ridge-till corn had higher CO2 emissions than plow-till corn, that is, 0.48 vs. 0.41 g C m-2 h-1 (Lal et al., 1995b). In a study to assess the impact of fall tillage on CO2 flux, Reicosky and Lindstrom (1993, 1995) reported highest flux rates and 19-d cumulative CO2 evolved from moldboard-plowed soil and the lowest from no-till treatments. High initial flush of CO2 immediately following tillage was attributed to release of CO2 in pores and from solution or rapid direct oxidation of C substrates rather than to residue incorporation. Shallow spring cultivation of fall-tilled treatments led to similar relative flux rates among tillage methods but a smaller magnitude of CO2 flux, which was attributed to the preceding season's microbial activity rather than to temperature or moisture differences (Reicosky, 1998).
Apart from CO2, agricultural systems significantly affect the emission of radiatively active gases such as CH4, N2O, and NOx, which may account for
20% of the anticipated atmospheric warming (Mosier et al., 1991; Duxbury et al., 1993). However, the influence of agricultural practices on fluxes of these gases is complex and varied, with often opposing effects depending on fertilizer, water, and residue management (Mosier et al., 1991; Lauren and Duxbury, 1993).
Our literature survey shows a lack of information concerning the effects of erosion on C flux from soil. We hypothesized that the magnitude of diurnal and seasonal C flux is related to soil erosion phase and is influenced by soil water and temperature regimes. The objectives of this study, therefore, were to quantify the magnitude of diurnal and seasonal variations in CO2C flux from an agricultural soil in central Ohio in relation to soil erosion phases and to relate C flux with soil moisture and temperature.
| Materials and methods |
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20 yr prior to this study, with autumn plowing following harvest in October and planting in late April or early May. During the study period the experimental plot areas were not planted but left fallow with occasional spraying to control weeds. On the basis of Ap horizon thickness and profile characteristics such as, soil color, texture, and depth to Bt horizon (Soil Survey Staff, 1993), four soil erosion phasesslight (SLI), moderate (MOD), severe (SEV), and deposition (DEP)were identified on a Miamian silt loam soil across a transect of the field. Soil bulk density and organic C data are shown in Table 1
. Three plot areas of
1 m2 each, randomly selected 2 to 3 m apart, were demarcated for installation of gas samplers and temperature and moisture probes. The erosion phases ranged from 20 to 100 m apart across the field. After establishment, the plots with gas chambers installed were neither plowed nor planted to avoid uprooting or otherwise disturbing the chambers and probes. Subsequent harvesting and planting operations were conducted around the plots, leaving border areas of
1 m on all sides of the plot. Although the plots were thereafter maintained under fallow conditions with periodic spraying to minimize weed growth, there was constant weed growth and at times weeds covered the plot areas.
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0.1 to 0.3 g g-1 (near field capacity). Standard curves for each block were constructed to calculated moisture contents on the basis of electrical resistance measurements. This technique appeared to be satisfactory for most moisture conditions except the driest and frozen soil conditions. Static gas chamber techniques tend to underestimate gaseous flux from soil surfaces because of alteration of the microclimate, air pressure differences within and without the chamber, and reduction in turbulent air flow above the soil surface (Hutchinson and Livingston, 1993; Rochette et al., 1992). It is, nonetheless, a simple and rapid method of determining gaseous flux from soils as long as care is taken in the design, installation, sampling, and analyses of gas samples to minimize experimental and analytical biases (Hutchinson and Livingston, 1993).
Carbon flux from the soil surface, as CO2 evolved, was monitored using the static chamber method with gas chromatograph (GC) analysis (Anderson, 1982). Gas samples were collected four times daily (at 0900, 1200, 1500, and 1800 h) at
2-wk intervals (except during winter months) between July 1995 and June 1997. The samples were drawn by means of a gas-tight syringe from the chamber 30 min after PVC caps with septa were placed over the open chamber tops. The gas samples, along with ambient atmospheric samples, were collected in glass vials (flushed with He carrier gas to eliminate any prior contamination) and brought back to the laboratory for analyses using a Varian Gas Chromatograph (Model 3700, Varian, Sunnyvale, CA). Simultaneously, soil temperature and moisture were recorded for each measurement time, and air temperature and precipitation data were obtained from the research farm weather station located a few hundred meters from the experiment site.
The peak area percentages for the CO2 peaks on the GC output chart were used to calculate C flux rates relative to CO2 concentration of ambient atmospheric CO2. The ambient CO2 concentration was measured in quadruplicate at each flux measurement time and the measurements averaged for each day. This average atmospheric CO2 concentration was generally close to 350 mmol mol-1. The data were reported in grams C per square meter per hour (diurnal flux) and grams C per square meter per day (seasonal flux). Daily values of C flux were calculated by averaging the hourly flux values and extrapolating across a 24-h period. Statistical analysis for computing the analysis of variance was performed on the data as a randomized complete block design for erosion phase (Factor A) with time of measurement (Factor B) for individual measurement dates as a split plot on erosion phase (Gomez and Gomez, 1984). Seasonal trends in C flux, soil temperature, and soil moisture were plotted against time (measurement date). The C flux data were also correlated with soil temperature, soil moisture, and mean air temperatures, and regression analyses were performed (Steele and Torrie, 1980).
| Results and discussion |
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0.6 to 1.58 g C m-2 d-1, which was similar to those reported in other studies (Feigl et al., 1995; Franzluebbers et al., 1995; Raich and Potter, 1995). Primarily soil temperatures (Table 2) governed seasonal variations in C flux, with high values during the summer and low values during the winter when soil biological activity is minimal due to near-freezing soil temperatures. Release of CO2 from soil biological and microbial respiration is highest at moderately high soil temperatures with adequate soil moisture and substrate C (Kirschbaum, 1995; Follett, 1997). The cyclical pattern with summer highs and winter low C flux was observed for two successive years and corresponded closely with soil temperatures, despite considerable variability of the data (Fig. 1) . Buyanovsky and Wagner (1995) observed similar trends in soil respiration for ecosystems in Missouri.
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Diurnal Variation in Carbon Flux
Significant diurnal variations in C flux from the soil were observed in this study. There was a general trend of somewhat lower values in the early mornings and late evenings, with peak C flux occurring around midday or mid afternoon (Fig. 3)
. This trend was accentuated during the spring and autumn when nighttime air temperatures were considerably lower than daytime highs (data not shown). Evening (1800 h) measurements were frequently higher than early morning (0900 h) measurements perhaps because of a lag effect in soil temperatures relative to air temperatures. Differences in C flux were less marked during the winter because of low values (near zero) and during the late autumn and early spring when greater fluctuations in temperature led to higher variability. The data set on the whole exhibited considerable variability, making interpretations of the temperature response complicated.
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correlated (r2 ranging from 0.80 to 0.81) with C flux regardless of whether mean hourly or mean daily rates were used. Mean air temperatures were also highly correlated with soil temperature (50-mm depth) as seen from the correlation coefficient (r2) of 0.96
in Table 3. Thus, under the conditions of this study, it was predominantly temperatures that affected soil biological activity, and hence, soil respiration. Soil moisture, however, varied relatively little, with 90% of mean observations between 0.17 and 0.21 g g-1, and was poorly correlated with C flux (r2
0.10). Regression analyses revealed that a number of linear and nonlinear functions predicted the effect of soil temperature on CO2C flux reasonably well for both diurnal and hourly flux rates (equations not shown). Best-fit relationships were provided by second-order polynomial (Fig. 4 and 5) curves, giving r2 of 0.784 for mean hourly and 0.832 for average daily C flux, respectively. The data exhibited higher scatter as temperatures increased, with maximum scatter occurring in the temperature range of 20 to 28°C. This probably reflected increasing spatial variability of soil biophysical conditions and variation of microclimate in the vicinity of the soil surface (a few centimeters above and below the surface) at higher soil temperatures. Thus, square-root transformation of the C flux data was found to give the most uniform distribution of data points for regression fit of the equations, while other transformations (e.g., log, lognormal, exponential) did not. A small positive y-intercept seen for both curves (Fig. 4 and 5) indicated a small C flux (near zero) at freezing or subzero temperatures. This was in agreement with actually observed C flux values during the winter months. On the other hand, soil moisture content did not predict C flux well, and its addition in a multiple regression equation did not improve prediction capacity compared with regression with temperature alone.
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| Conclusions |
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0 g C m-2 d-1 in the winter to
1.6 g C m-2 d-1 during the summer. Fernandez Son Kraske Rustad David 1993; Korner Arnone 1992; Raich Nadelhoffer 1989; Raich Schlesinger. 1992; Vose Elliott Johnson Walker Johnson Tingey 1995
| ACKNOWLEDGMENTS |
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Received for publication November 5, 1997.
| REFERENCES |
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