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Soil Science Society of America Journal 66:805-817 (2002)
© 2002 Soil Science Society of America

DIVISION S-2—SOIL CHEMISTRY

Comparison of Redox Indicators in a Paddy Soil during Rice-Growing Season

S. Gao*,a, K. K. Tanjia, S. C. Scardacib and A. T. Chowa

a Hydrology Program, Dep. of Land, Air and Water Resources, Univ. of California, Davis, CA 95616
b Dep. of Agronomy and Range Science, Univ. of California, Davis, CA 95616

* Corresponding author (sugao{at}ucdavis.edu)


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 Description of Redox Parameters
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 SUMMARY
 REFERENCES
 
The objective of this study was to compare three methods of evaluating redox status, i.e., conventional redox potential (EH) measurement, terminal electron-accepting processes (TEAPs) and oxidative capacity (OXC) in pore waters of a paddy soil during the rice-growing season. The redox potential can be measured readily which can monitor progressive development of reducing conditions and distinguish oxic from anoxic conditions but with little information on specific redox processes under anoxic conditions. Identifying dominant TEAPs requires intensive data collection and analysis. The sequence of TEAPs development basically followed theoretical predictions but overlapping, typically among Mn, Fe, SO2-4-S reductions and methane production, was featured throughout the season. The measured dissolved H2 gas as the intermediate product, reflected the overlap among electron acceptors. Oxidative capacity integrated all the major oxidized and reduced species to a single conservative parameter and showed clearly the progressive redox status from oxic to postoxic and then to sulfidic conditions in the paddies with no apparent methanic condition during this particular growing season. In OXC computations, a more reliable method to estimate Mn and Fe oxyhydroxide concentrations as electron acceptors needs further testing. The measured EH showed a higher correlation to redox species Mn(II), Fe(II) and methane concentrations (r2 = 0.76, 0.73, and 0.76, respectively) than to dissolved O2 (DO), NO-3-N, and SO2-4-S (r2 = 0.53, 0.37, and 0.16, respectively). Measured EH was also highly correlated to OXC for low sulfate solutions. The three methods for evaluating redox status all indicated that more reducing conditions were developed in straw-incorporated paddies than that with straw-burned.

Abbreviations: DO, dissolved O2 • EH, redox potential • ERL, electron reference level • GC, gas chromatography • OXC, oxidative capacity • PVC, polyvinyl Cl • RSD, relative standard deviation • SB-WF, straw burned with winter-flooding • SR-NWF, straw rolled with no winter-flooding • SR-WF, straw rolled with winter flooding • TEAPs, terminal electron-accepting processes • UC, University of California • UHP-N2, ultra-high purity N


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 Description of Redox Parameters
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 SUMMARY
 REFERENCES
 
THE REDOX POTENTIAL IN soil-water systems is one of the more difficult soil criteria to evaluate (McBride, 1994; Bartlett, 1999). Submerged paddy soil was chosen as the study system because redox status can change in the matter of days to weeks. It is well known that upon flooding, redox conditions in paddies undergo rapid and large changes from oxic to anoxic conditions (Patrick, 1981).

The objective of this study was to evaluate three redox indicators: conventional EH measurement, dominant TEAPs, and OXC in paddy soil. The paper first describes the three redox indicators, presents details on field sampling technique since this is our first attempt of applying TEAPs and OXC to paddy soil, and then evaluates the three approaches to characterizing redox status.


    Description of Redox Parameters
 TOP
 ABSTRACT
 INTRODUCTION
 Description of Redox Parameters
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 SUMMARY
 REFERENCES
 
Redox Potential
Microbes that utilize oxidized species in the soil as terminal electron acceptors mediate the decomposition of organic matter in the soil. Under equilibrium conditions, a theoretically well-defined sequence of reduction of electron acceptors should take place when the soil goes from oxic to suboxic to anoxic conditions (Sposito, 1989). The principal redox couples in sequence are O2/H2O, NO-3, Mn(IV, III)/Mn(II), Fe(III)/Fe(II), , and CO2/CH4. The reduced conditions in submerged paddy soils may be readily measured by measuring EH of the pore water, but EH is a difficult soil parameter to interpret. Bartlett (1999) described thoroughly the redox behavior in soils, providing an important base to our understanding of equilibrium and dynamic redox conditions. He pointed out that a Pt electrode may not reflect changes in some species involved in redox reactions, such as partial pressure of O2 and neither Mn or Fe oxides nor nitrate had the expected quantitative effect on the Pt electrode measurement. Methane, bicarbonate, N2 gas, nitrate, and sulfate are not electroactive, i.e., they do not readily take up or give off electrons at the surface of the Pt electrode used to measure EH (Berner, 1981). Since it is a measurement of potential, the Pt electrode also responds to changes in pH and other potentials. Thus, measured EH usually reflects a nonequilibrium mixed potential and can be only qualitatively interpreted (Bohn, 1971). Indeed, a wide range of EH for the same redox couples or several redox reactions occurring within the same range of EH were reported throughout literature (Lovely and Goodwin, 1988). Under experimentally controlled EH conditions, sequential reduction of nitrate and Mn(IV) or sequential oxidation of Mn(II) and NH+4 has been determined (Patrick and Jugsujinda, 1992). However, redox reactions in most natural systems, especially soils, are seldom at equilibrium. Therefore, nonequilibrium and capacity-type redox parameters are desired to better assess reduced soil conditions.

Terminal Electron-Accepting Processes
For the nonequilibrium approach, defining the dominant TEAPs has been applied to groundwater systems to predict the predominant redox reactions under anoxic conditions (Chapelle et al., 1995). As shown in Fig. 1 , the identification of dominant TEAPs along the flow path in a groundwater system (Chapelle et al., 1995) considers simultaneously the consumption of electron acceptors (DO, NO-3-N, Fe(III), SO2-4-S, and CO2); intermediate product (dissolved hydrogen gas, H2) concentration, and the concentrations of final products (Fe(II), H2S, and CH4). It should be noted that Mn(IV, III) reduction was not included in Fig. 1 which will be considered above Fe(III) reduction in this research. A high degree of confidence can be achieved if a combination of all three indicators (electron acceptor consumption, intermediate product concentration, and final product accumulation) yields a positive identification of the predominant TEAPs. When only two out of three indictors confirm a predominant TEAPs, the diagnosis is less positive.



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Fig. 1. A hierarchical scheme for the diagnosis of dominant terminal electron-accepting processes (TEAPs) in ground water system (Chapelle et al., 1995).

 
The concentration of dissolved H2 has been used as an indicator of the predominant TEAPs in groundwater systems (Lovley and Goodwin, 1988; Lovley et al., 1994; Chapelle et al., 1995). Theoretical considerations suggest that H2 concentrations are primarily dependent on the physiological characteristics of the microorganisms consuming the H2 and the organisms catalyzing H2 oxidation. At steady state, the concentration of H2 tends to be lower with the reduction of the more electrochemically positive electron acceptors (e.g., DO and NO-3-N) than those electron acceptors that yield less energy from H2 oxidation (e.g., SO2-4-S and CO2). The concentrations of H2 associated with specific terminal electron-accepting reactions in a variety of sediments reported by Lovley and Goodwin (1988) were: methanogenesis, 7 to 10 nmol L-1; sulfate reduction, 1 to 1.5 nmol L-1; Fe(III) reduction, 0.2 nmol L-1; and Mn(IV) reduction and NO-3 reduction, <0.05 nmol L-1. Others reported H2 concentrations were in the range of 0.1 to 0.8 nmol L-1 for Fe(III) reduction (Chapelle and Lovley, 1992), 1 to 4.0 nmol L-1 for sulfate reduction, and 5 to 25 nmol L-1 for methanogenesis (Vroblesky and Chapelle, 1994).

We attempted to apply the same method described by Chapelle et al. (1995) to determine the dominant TEAPs in the pore waters of submerged rice paddies, an environment far different from that of groundwater systems. Not considered was the flow path in the shallow rootzone of the paddy rice but changes with respect to time was chosen instead. A diagnosis may not be completely available in the case of Mn and Fe oxides because they are only sparingly water soluble.

Oxidative Capacity
The concept of OXC was developed by Scott and Morgan (1990), leading to geochemical classes of redox conditions (Berner, 1981). The OXC is a capacity-type parameter that utilizes a comprehensive chemical analysis of the water (oxidized and reduced species) into a single descriptive parameter (Maruyama and Tanji, 1997). Table 1 (Scott and Morgan, 1990) contains the major redox half reactions operating in rice paddies including the number of electrons transferred. For the last half reaction, Scott and Morgan used production of dissolved organic matter which we replaced with the CO2–H2 reduction pathway for methane (Snoeyink and Jenkins, 1980).


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Table 1. Selected redox half reactions to determine oxidative capacity (after Scott and Morgan, 1990).

 
Oxidative Capacity is defined as

[1]
where ni is number of equivalent electrons transferred, [Oxc]j equals oxidized j species in millimolarity and [Red]k is reduced k species in millimoles per liter. Alternatively, the reductive capacity (RDC) has a sign opposite to OXC. It is necessary to select an electron reference level (ERL) from the redox ladder in Table 1. For this study, we chose HS- as the ERL. This suggests that all the species on the left-hand side above and including SO2-4 are the system oxidants and the species on the right-hand side beneath HS- on the redox ladder are the system reductants. It should be noted that Mn oxides may appear in soil with oxidation states of III and IV (Bartlett, 1999), but to simplify calculations MnO2 is used herein.

Scott and Morgan (1990) further defines OXC as

[2]

It should be kept in mind that Eq. [2] includes only the most common redox elements in soils and many other minor electron acceptors are ignored.

The redox status of the pore water in the paddy soil is then transformed into geochemical redox classes analogous to that by Scott and Morgan (1990):



    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 Description of Redox Parameters
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 SUMMARY
 REFERENCES
 
Study Site and Plots
The field site for this research was in a 30.4-ha experimental farm near Maxwell in the Sacramento Valley, CA, where 0.8-ha field plots were laid out to evaluate alternative rice–straw management practices by a team of researchers from University of California (UC), Davis and UC Cooperative Extension. The main treatments were winter-flooding or no winter-flooding, and four straw subplot treatments were fall burning, chopping, incorporation, rolling, and baling. For the purpose of this study, we selected three plots with different straw management to evaluate redox conditions during the rice-growing season in 1997 and 1998. The three plots chosen were mainly based on field visual observations that soil redox chemistry might differ. The field sampling technique was developed in 1997 and experimental data were obtained mainly in 1998. The treatments for the plots reported in this study are as follows: rice straw burned with winter-flooding (SB-WF); rice straw rolled with no winter-flooding (SR-NWF); and rice straw rolled with winter-flooding (SR-WF). In the SB-WF treatment, the straw was burned in the fall after harvest and then flooded. In the SR-NWF treatment, the straw spread was rolled with a creaser or corrugated rice roller to flatten the straw and bring it into closer contact with soil. In the SR-WF treatment, the straw spread was cage rolled after flooding to flatten and mash the straw into the water and mud. Although different straw treatments in the rice field were selected in this study, the main purpose of this study was to evaluate redox status by three methods.

The soil at the field site is Willows clay (fine, smectitic, thermic Sodic Endoaquert). This soil type is widely distributed in Colusa and Glenn Counties, California and is considered the main rice soil in the area.

Standard grower practices were used in the field, i.e., continuous flooding except for short-term drainage for broadleaf weed control. Flooding was initiated on 25 May 1998 and completed on 26 May. The plots were seeded into 10 cm of water on 27 May to variety M-202, a medium grain rice. The plots were drained on 7 July for spraying a mix of herbicide and were reflooded 3 d later to 18- to 20-cm water depths. Such a brief drain period only allowed surface water to drain and increased the pesticide contact to the surface soil. Sampling was not made during the drainage dates. The rice paddy was eventually drained on 11 September for harvest in early October.

Field Instrumentation
Piezometers (sampling wells) were installed in the selected plots at one-third of the distance from the drain prior to flooding on 24 May 1998. Figure 2 shows a sketch of the piezometer installation and expected direction of water flow while sampling water from the piezometer. The piezometers were 5-cm diam. polyvinyl Cl (PVC) pipes with a plastic screen (~0.5-mm sieve size) at the bottom. Studies with PVC-casted wells have shown that no H2 is produced from this material (Chapelle et al., 1997). The piezometers were installed 5 cm below the soil surface. A hole ~10 cm deep and about a 30-cm diam. was made before each piezometer was installed. By placing the piezometer bottom to the 5-cm depth with the support of three bamboo sticks glued on the piezometer bottom, the empty space below the piezometers and the surroundings was back-filled with quartz sand. The sand served as a filter to obtain clear solution samples from the soil pore water. The PVC pipe was equipped with a threaded cap with an acrylic tube inserted from the top, long enough to reach the piezometer bottom. Finally, a 30-cm PVC ring was used to surround the piezometer. A layer of ~5 cm deep of bentonite was placed inside the 30-cm PVC ring surrounding the piezometers to prevent surface water building up around the piezometer and from leaking through while sampling the soil pore water from the piezometer. A cap was placed on the PVC ring.



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Fig. 2. Piezometer installation and expected water flow directions while sampling soil pore waters.

 
The waters collected from the piezometers represent the soil pore waters from reduced layers of the submerged soil. Profiles of soil redox potential were determined previously in the 1997 growing season by inserting the electrode into the soil profile at several depths. The electrode inserted into the top of the soil profile (<1 cm) gave an average EH reading of -35 mV, indicating that the oxidized surface soil layer was too thin to define in this case.

Sampling
A preliminary test showed that a vacuum pumping method was adequate to sample large volumes of the pore water from the PVC piezometers. A hand-operated vacuum pump (Nalgene, Nalge, Rochester, NY) was used to extract water out of the piezometers through Tygon tubing. Using the hand pump, a continuous water stream flow (150–200 mL min-1) could be controlled easily without introducing any air bubbles into the line. Initially, a Markson ORP Pt/Ag/AgCl combination electrode (Markson Science Inc., Phoenix, AZ) was lowered down to the bottom of the piezometer to monitor EH while pumping and later a flow-through chamber was developed for monitoring both DO and EH on line while sampling.

The time to collect water samples from the piezometer was based on preliminary tests on changes in water parameters as shown in Fig. 3 . EH readings became relatively stable after a 2-L volume of water pumping. Changes in DO, NO-3-N, Mn(II), Fe(II), and DOC (dissolved organic C) were all very small after 1 or 1.5 L water pumping. Dissolved H2 gas and methane in soil pore water were tested for two water samples at 1.5 and 4.5 L volume of water pumping and the variations between the two readings were small. The only change noticeable during water sampling was SO2-4-S concentration after a 2 L water pumping and the decrease was exponential. Water samples were not collected for chemical analysis until the EH readings became relatively stable and after pumping volume reached 2 L for the piezometers.



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Fig. 3. Changes of parameters vs. pumping water volume for a piezometer installed at 10-cm depth.

 
Field sampling for pore waters was started right after flooding 1 to 2 d. Considering the rapid changes in redox conditions after initial flooding, more frequent samplings were carried out at earlier growing season and the time intervals between sampling were extended as the growing season prolonged. Actually, samplings were done after flooding for 1 to 2 d, and then after 5, 9, 14, 22, 37, 59, 78, and 106 d. Since other research groups were conducting experiments in the same plots, the sampling locations (piezometer installed) were selected in an area representative of the main plot, at about one-third of the distance from the drain and about one-half of the distance from both side levees. Composite soil samples for some characterization were taken from 10 to 12 random locations in a plot.

Several water samples were collected for analyses. Unstable parameters such as DO, pH, EH, and S2- were measured on-site using fresh water samples as it is critical to minimize sample exposure to the air before these analyses. A 125-mL Nalgene polyethylene bottle (Nalge Co., Rochester, NY) was filled up with water sample and stored in a cooler with ice for later lab analysis for NO-3, SO2-4, and EC. Another 125-mL Nalgene bottle of sample was filled up and preserved in ~1% (vol./vol.) HCl for analysis of Fe(III/II) and Mn(II). It was found out later that these samples should be filtered first (0.1 µm or smaller) prior to acidification for Fe(III/II) analysis to prevent dissolution of colloidal Fe oxyhydroxides. Otherwise, an overestimation of Fe(III) could result.

For dissolved H2, and CH4 analysis, evacuated 400-mL PVC bags (Medsep Corp., Covina, CA) were filled up with water sample. The PVC bags had two ports and one was with a septum (Alltech Inc., Deerfield, IL). Samples were introduced into the bag through the other port. These bags were weighed before and after filling to obtain the mass of sample.

After collecting the water samples into PVC bags, a known amount (10 mL) of ultra-high purity N (UHP-N2) was injected into the bags. After equilibrating the N2 gas phase with the liquid phase (minimum 7 min) (Chapelle et al., 1995), 5 mL of the N2 gas phase was withdrawn using a syringe and injected into 10-mL vacutainers previously flushed with UHP-N2. The vacutainers were later used for H2 and CH4 analysis by gas chromatography (GC). Standards of H2 and CH4 were prepared in the same way as the samples using the vacutainers to minimize calculation error on dilution factors. A blank of UHP-N2 was made for background correction. The calculations for dissolved gas concentrations (H2 and CH4) were based on concentrations in the gas phase, dimensionless distribution coefficients for aqueous-gas equilibrium (Stumm and Morgan, 1981), and the volumes of gas and liquid phases. This gas sampling procedure was developed based on the stability test conducted as described below.

The stability of H2 gas in the PVC bags was tested within 24 h after filling the bags with a known concentration of H2 gas. The stability of H2 and CH4 in the vacutainers was also tested. The vacutainers were flushed with UHP-N2 in a glove-bag five times and then 5 mL of standards of H2 or CH4 was injected into the vacutainers. The concentrations of these gases were 11.0 µL L-1 for H2 and 511 µL L-1 for CH4. One group of the vacutainers was kept in a dark plastic bag at room temperature (22–23°C) and the other group was kept in the refrigerator (5°C). Five replicates of each treatment were set up and the concentrations of H2 and CH4 in the vacutainers were analyzed by GC within 48 h.

The results of the recovery test of gaseous stability in PVC bags and vacutainers are briefly summarized here. For the PVC bags, recovery of H2 gas was 100% within 6 h and 90% after 24 h. For the vacutainers, recovery of H2 gas concentration in the vacutainers after preserving for 20 h were >98% at both room temperature and refrigerated conditions with a standard deviation <=5%. After preserving and holding for 72 h, the recovery was >98% with a relative standard deviation (RSD) of >=6.5%. For CH4, the recovery after 48 h ranged from 95 to 97% with a RSD of 2 to 5%. There were no significant differences between recoveries from vacutainers kept at room temperature and refrigerated condition. Thus, recovery of >=95% of H2 and CH4 can be achieved within 48 h without exposure to light either at room temperature (~23°C) or cooler conditions. By preparing the samples in the field and preserving the gas phase in UHP-N2-flushed vacutainers, the work load can be greatly reduced in the field.

Analytical Methods
The pH was measured with a Piccolo stick pH meter (Fisher Scientific, Santa Clara, CA). The EH was measured using a Sensorex ORP Pt/Ag/AgCl combination electrode. The ORP electrode was calibrated using Zobell's solution (Nordstrom, 1977). To standardize the EH reading to the standard H2 electrode, 198 mV was added to the observed instrument reading to obtain the standard EH values (Nordstrom, 1977). Dissolved O2 values were based on the measurement with YSI model 54A oxygen meter DO probe (Yellow Springs Instrument Co., Yellow Springs, OH). Sulfide was determined using a CHEMtrics analysis kit (CHEMtrics Inc., Calverton, VA) based on a colorimetric method (USEPA, 1983) and the detection limit was 0.1 mg S2--S L-1. Specific conductance (EC), NO-3-N, and SO2-4-S were measured in the lab within 24 h after sampling using the preserved samples. The analysis for NO-3-N was conducted using the Brucine-method (Barker, 1974). Iron (II) and Fe (III) were measured using the ferrozine method (Stookey, 1970) and Mn (II) concentrations were determined using atomic absorption spectroscopy (AAS). To estimate the amount of Fe and Mn potentially serving as electron acceptors of the soils, amorphous or "active" Fe and Mn oxides were extracted by ammonium oxalate buffer (pH 3.0) (Loeppert and Inskeep, 1996).

The concentration of dissolved H2 was determined with a RGA3-gas analyzer with a Reduction Gas Detector (Trace Analytical Lab, Menlo Park, CA). Parameters used were carrier N2 gas flow of 20 mL min-1 measured from the outlet of Hg scrubber column, detector temperature of 265°C, and column temperature of 105°C. The detection limit of this instrument was 10 µl L-1 H2 and detection limit for the solution was ~0.2 nmol L-1 based on the sample preparation procedures described. Methane was determined with a SRI 1860 Gas Chromatograph (SRI Instruments, Torrance, CA) equipped with flame ionization detector (FID).


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 Description of Redox Parameters
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 SUMMARY
 REFERENCES
 
Results of determined soil solution parameters from each plot during the rice-growing season are shown in Fig. 4 . The sampling dates were not evenly distributed in the study period and the time increments between sampling was shorter at early sampling dates than later during the season. The soil pore water was neutral throughout the growing season, pH 6.9 to 7.3. The range of EC values was from 1.2 to 3.3 dS m-1 (Fig. 5) and varied among the plots as well as with sampling time. The variations in EC among the plots were mainly because of water management and field locations. Sulfide concentrations were all below detection limit and thus are not reported.



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Fig. 4. Changes of redox parameters in soil pore water during the rice-growing season for three field plots.

 


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Fig. 5. The changes of EC in soil pore-water during the rice-growing season.

 
Redox Potential Measurement
Rapid decreases in EH values were observed within the first 10 d after flooding especially for the two straw incorporated plots and stabilized thereafter. In contrast, the EH in the straw burned (SB-WF) plot decreased less rapidly and the decrease was prolonged compared with the straw treatments. The variation in pH of the pore waters was small (within 0.4 units) and so the effects of pH on the EH readings is minor.

The concentration of DO and NO-3-N for all plots decreased rapidly corresponding to the initial EH value drop. However, under anoxic conditions, even though EH varied little, the concentrations of reduced products such as Mn(II), Fe(II), and CH4 continuously increased while SO2-4-S continuously decreased. The results confirm the difficulty in using measured EH readings to indicate redox reactions occurring in the soil especially under anoxic conditions.

Deducing Dominant Terminal Electron-Accepting Processes
Changes in Electron Acceptors and Products
Dissolved O2 and NO-3-N.

Dissolved O2 dropped from >0.2 to <0.02 mmol L-1 after 5 d of flooding and then remained below 0.02 mmol L-1. The changes in the concentrations of NO-3-N followed almost the same pattern as that of DO. The concentration of NO-3-N dropped from ~1.8 to <0.1 mmol L-1 within the first 5 d of flooding. Clearly, O2 and NO3 were the dominant terminal electron acceptors within the first 5 d or so after flooding for all the plots.

Manganese and Fe.

Since Mn and Fe oxides are sparingly soluble and not detectable, increases in Mn(II) and Fe(II) concentrations indicates Fe and Mn were serving as electron acceptors. Upon flooding, there was a steady increase of Mn(II) for all the plots indicating that Mn oxides (Mn IV, III) in the solid phase were serving as an electron acceptor very early in the growing season. It should be mentioned that the soil was disked several times for seed bed preparation and thus it is expected that Mn was in an oxidized form before flooding. The concentrations of Mn(II) eventually leveled off or decreased, possibly because of depletion of bioavailable Mn oxides and precipitation as MnS. In contrast, the concentrations of Fe(II) in the soil pore water in all three plots did not increase abruptly until late June, about 4 wk after flooding, with the exception of SR-WF treatment which showed an abrupt increase after 5 d of flooding, then leveled off and increased again, indicating Fe(III) in the plot was serving as an electron acceptor at earlier times.

Sulfate and Sulfide.

The initial concentrations of SO2-4-S were highly variable among the treatments, partly because of the differences in water salinity in each plot (Fig. 5). Sulfate concentrations decreased rapidly from >6 to ~0.2 mmol L-1 in late July, ~8 wk after flooding. The possibility of decrease in SO2-4-S because of precipitation as gypsum was rejected because the soil solution Ca concentration (not shown) was below 0.25 mmol L-1. Using speciation model MINTEQA2 (Allison et al., 1991), soil pore waters during most of the growing season were undersaturated with respect to gypsum (Ksp = 10-4.6, Allison et al., 1991). The SR-NWF and SR-WF treatments showed a steady decrease in SO2-4-S concentration while SB-WF plot showed some early fluctuations in concentration and then gradually decreased. Sulfate seemed to serve as an important electron acceptor throughout the growing season for the SR-NWF and SR-WF Plots after flooding and for SB-WF Plot it became important after a few weeks of flooding. Sulfide was also determined in the pore waters but was all below the detection limit of 0.1 mg L-1. Based on Fe(II) concentration in pore waters, the theoretical S2- concentration in the pore waters for solutions saturated with FeS (Ksp = 10-3.915) would be <0.1 mg L-1 according to MINTEQA2 (Allison et al., 1991). The analytical method used in this study was not able to detect low concentrations of S2-. Thus, direct evidence of S2- accumulation in soil solution was not observed.

Methane.

In the SR-NWF Plot, dissolved CH4 concentration increased dramatically after 17 June and reached peak concentration on 24 July and leveled off thereafter. For the other two treatments, the highest concentrations of CH4 were determined on the last sampling date, ~3.5 mo after flooding. The SR-WF plot was flooded during the winter and decay of rice straw was promoted more than no winter-flooding plot and that might contribute to the smaller methane production. Methane is a product of anaerobic decomposition of soil organic matter and is evidence of strongly reducing conditions.

Intermediate Product-Dissolved Hydrogen Gas Concentration
The concentrations of dissolved H2 varied between 0.6 to 3.2 nmol L-1 (Table 2). The range of dissolved H2 found in this study fell into sulfate reduction process based on the criterion provided by Chapelle et al. (1995) although other TEAPs were occurring during the sampling period.


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Table 2. Dissolved H2 gas concentrations in paddy pore water in nmol L-1.

 
Defining Terminal Electron-accepting Processes
Using Fig. 1, and the data presented in Fig. 4, the dominant TEAPs during the growing season mainly based on changes in the concentration of electron acceptors and final redox products were identified and the results are shown in Table 3. It should be noted that Mn was not considered in the TEAPs diagram (Fig. 1) but here included as an important component in redox processes. Oxygen and NO-3 were rapidly depleted after flooding for a few days indicating as initial important electron acceptors. However, contributions of O2 by roots of growing rice plants may provide a minor electron acceptor throughout the growing season (Kumazawa, 1984). The large increases in Mn(II) in pore waters indicate Mn oxides were a dominant and continuous source of electron acceptor for mildly to strongly reducing conditions. From mid June, there was considerable overlap amongst electron acceptors for all three plots, typically among Mn, Fe, SO2-4, and CO2. In most cases, more than one electron acceptor is simultaneously participating in redox reactions. We believe that the H2 concentration observed (Table 2) reflects the mix and overlap of dominant electron acceptors in the paddy soils.


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Table 3. Dominant terminal electron acceptors in paddy soils during the rice-growing season.

 
Oxidative Capacity
Table 4 presents the geochemical redox classes based on OXC calculations for the pore waters by sampling dates. It should be noted that the calculations for OXC (Eq. [2]) involve estimation of bioavailable concentrations of Mn and Fe oxyhydroxides serving as electron acceptors at the time of sampling. Since a method for bioavailable concentrations of Fe and Mn oxyhydroxides is not available we have determined the active or amorphous Fe and Mn oxide as defined by Loeppert and Inskeep (1996) as the maximum potential amount of electron acceptors. About 111.5, 158.2, and 129.6 mmol kg-1 as Fe and 8.3, 6.9, and 9.8 mmol kg-1 as Mn were determined for SB-NW, SR-NWF, and SR-WF soils respectively. The saturation water content was 602, 642, and 721 g kg-1 for the three plot soils respectively which yield an estimate of 185.2, 246.4, and 179.7 mmol L-1 as Fe and 13.8, 10.7, and 13.6 mmol L-1 as Mn for SB-NW, SR-NWF, and SR-WF on solution basis, respectively. These values indicate very high concentrations of Fe and Mn oxyhydroxides in these soils as compared with observed maximum concentrations of Fe(II) (ave. 0.14 mmol L-1) and Mn(II) (0.16 mmol L-1) in pore water resulted from Fe and Mn reductions (Fig. 4).


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Table 4. Geochemical redox class of paddy pore water based on oxidative capacity.

 
It has been a challenge to estimate the amount of bioavailable Fe and Mn oxides that serve as electron acceptors in paddy soils. If the extracted amount of active or amorphous Fe and Mn oxide are used to serve as electron acceptors, then postoxic conditions would be expected for the rest of growing season after depletion of DO and NO3. The extractable Mn and Fe overestimate the bioavailable Mn and Fe oxides as electron acceptors.

Using the maximum concentrations of reduced Fe(II) and Mn(II) may underestimate the amount of Fe and Mn available as electron acceptors because of possible precipitation such as FeS and MnCO3. The alkalinity of soil pore water was monitored in the previous year and averaged 11, 14, and 12 mmol L-1 as HCO-3 for SB-NW, SR-NWF, and SR-WF, respectively. Based on these levels, the pore waters were undersaturated with respect to FeCO3 but oversaturated with respect to MnCO3. Precipitation such as FeS and MnCO3 would remove Fe(II) and Mn(II) from the solution phase. It was observed later in a greenhouse study (Tanji et al., 2001) that the maximum concentration of Mn(II) and Fe(II) in the soil pore water was affected by the amount of incorporated straw. The higher amount of straw incorporation resulted in the earlier appearance of the maximum concentration of Fe during the rice-growing season which was also accompanied by higher concentrations of soluble Fe(II). The highest Fe(II) concentration observed was 1.4 mmol L-1 when 2.3% (w/w) straw was incorporated and ~0.2 mmol L-1 concentration of Fe(II) when no straw was incorporated. A good estimate on the amount of Fe and Mn serving as electron acceptors should fall between the maximum concentration of Fe(II) and Mn(II) observed up to 1.4 mmol L-1 for this field. Accurate determination on bioavailable Fe and Mn oxyhydroxides serving electron acceptors using laboratory technique bears further testing.

Therefore in this study, estimates of bioavailable Mn oxides were taken as 0.18, 0.16, and 0.20 mmol L-1 and bioavailable Fe oxides as 0.12, 0.14, and 0.19 mmol L-1 for the SB-NW, SR-NWF and SR-WF plots, respectively. These values represent the maximum concentration of Mn(II) and Fe(II) resulted from reduction of Mn and Fe oxides during the rice growing season. In all the three plots, oxic and postoxic status are found throughout most of the rice-growing season. Oxic conditions were determined during early growing season. Then, postoxic conditions were observed through most of the growing season. Sulfidic conditions were identified on 9 September for both SR-NWF and SR-WF plots in which straw was incorporated. Methanic conditions were not identified for any of the plots.


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 Description of Redox Parameters
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 SUMMARY
 REFERENCES
 
Overlapping among Terminal Electron-Accepting Processes
The overlap of terminal electron acceptors (Mn, Fe, SO2-4-S, and CO2) was observed in this study during most of the rice-growing season (Fig. 4 and Table 3). Several factors may have influenced this overlap. An attempt to predict the degree of this overlapping was pursued by computing the corresponding EH from a hypothetical redox couples (selected Fe3+/Fe2+, , and as examples) at pH 7.0 using speciation model WATEQ (Ball et al., 1987). The results are plotted in Fig. 6 . It is important to notice that the computation was based on assumptions that the solution was dilute enough so that most redox species are in free ion forms and no precipitation such as FeS was involved as the ratios of redox couples change. Nitrate reduction occurs at high redox potential within a narrow range (300–350 mV) considering NO3/NH4 ratio change from 106 to 10-6. The same applies for sulfate reduction except at a much lower redox potential range (-200 to -250 mV). For the Fe3+/Fe2+ redox couple, however, reduction or oxidation could occur in a much wider range of EH depending on the nature of the reactions (Fig. 6). The slope of EH change in Fe3+/Fe2+ redox couple was about eight times steeper than that of and because of the different number of electrons transfer involved in the reactions. The same would occur for Mn which involves approximately one electron transfer as in Fe redox reactions, covering a wider range of EH. Thus, the possibility of electron overlap exists but the degree of the overlapping depends on specific conditions such as kinetics and precipitation.



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Fig. 6. Corresponding redox potential to selective hypothetical redox couple ratio at equilibrium conditions.

 
The kinetics of reduction of Mn and Fe oxyhydroxides has an influence on the observed wide range of EH. The kinetics for the reduction dissolution of Mn and Fe oxides is regulated by surface chemical reactions (Sparks, 1989). Manganese and Fe oxides are sparingly soluble forms either as suspended particulates or as coatings on soil particles while sulfate is highly soluble in soil solutions. The surface area of solid-phase reactants is one of the major factors affecting reaction rates. The reduction rates of Mn and Fe are also directly related to the concentration of organic reductant (Sparks, 1989). In this study, the reduction rates were faster in the straw-incorporated plots as higher soluble reduced Mn and Fe were detected compared with that of the straw-burned plot.

Moreover, the concentration of reduced products may be affected by mineral solubility such as MnS, FeS, and MnCO3, etc, which removes soluble Mn, Fe, and H2S (or HS-) from the solution phase. Precipitation tends to increase Fe3+/Fe2+ ratios and drives the reduction reaction forward. Theoretically, precipitation occurs once the ionic activity product of the mineral is exceeded. Postma and Jakobsen (1996) provided an explanation for the simultaneous occurrence of Fe(III) and SO4 reduction using the partial equilibrium approach. They stated that depending on the stability of Fe oxides, simultaneous reduction of Fe(III) and SO4 is thermodynamically possible under a wide range of sedimentary conditions and SO4 reduction may even occur before Fe(III) reduction. The presence of a wide range of Fe oxide stability is likely to cause considerable overlap between zones of Fe(III) reduction and SO4 reduction.

Dissolved Hydrogen Gas Concentration as Indicator of Terminal Electron-Accepting Processes in Paddies
According to Chapelle et al. (1995), as reducing conditions develop and less electrochemically positively electron acceptors become dominant, dissolved H2 concentrations should increase in deep-seated ground water systems. In this shallow rice paddy, however, there was no evident trend of increasing dissolved H2 concentrations as more reducing conditions developed.

The observed dissolved H2 concentrations in paddy soils are difficult to evaluate. The dissolved H2 concentrations are mediated by the physiologic characteristics of microorganisms in the system (Lovley and Goodwin, 1988). Overlapping among the TEAPs indicate a mixed community of microorganisms in the paddies that involved Mn, Fe, and sulfate reductions and methane production. The high concentration of dissolved H2 observed while Mn and Fe reductions prevailed could be because of the overlap among electron acceptors, especially the early occurrence of sulfate reduction. On the other hand, paddy soil is a highly dynamic and complex system. During flooding, the soil environment is encountering rapid consumption of O2 as organic matter is oxidized following by progressive development of reduction processes in the paddy with significant overlap indicating constant changes in microbial community.

The rootzone of paddy soil is very shallow, ~15 cm in depth with a much greater soil-water-air interface as compared with deeper groundwater systems in which the TEAPs method has been previously applied. Thus, any possible diffusion in the submerged paddy soil may impact the dissolved H2 gas concentrations observed in the pore waters. Further, the TEAPs diagnosis is based on steady-state H2 and this may have been difficult to achieve in paddy soils compared with deep-seated ground-water systems. Therefore, the current results indicate that dissolved H2 concentration may not be suitable for indicating dominant TEAPs for paddy soils where overlap among electron acceptors occurs.

Comparison between Redox Status Indicators
Redox Potential and Dominant Terminal Electron-Accepting Processes
Figure 7 plots measured concentrations of redox species against observed EH and pH values. Since the pH of the pore waters was near neutral, Fig. 7 reflects the dominant TEAPs occurring as redox potential varies from this study. Data from all three experimental plots showed the same trend and only one plot is shown here as an example. Dissolved O2 and NO-3 served as electron acceptors at EH ~350 to 400 mV since their concentrations dropped to about zero at 350 mV. Manganese and Fe served as electron acceptors starting around 350 mV for Mn and 250 mV for Fe to ~100 mV. Sulfate reduction occurred from EH as high as 350 mV to ~100 mV. Methane production, however, was not obvious until EH was close to ~100 mV. Manganese, Fe, and SO2-4 reduction processes were occurring over a much wider range compared with O2 and NO-3 reduction and methane production for this soil. These EH values or ranges may vary somewhat from one plot to another but the same phenomenon and trend were observed.



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Fig. 7. Relationship among the redox species with pH and EH observed.

 
Redox Potential Response to Redox Species
To more quantitatively analyze the relationship between the measured redox species and the measured EH, it would be the best to use analytically determined redox couples, compute theoretical EH assuming equilibrium and compare with the measured values. However, this attempt was not pursued because of incomplete database on redox couples. Iron(III) was detected for the first few samples taken in early rice-growing season, prior to 17 June. Using both MINTEQA2 (Allison et al., 1991) and WATEQ (Ball et al., 1987), the computation resulted in positive saturation index for Fe(OH)3 for all measurable Fe(III) samples indicating possible dissolution of colloidal Fe oxyhydroxides from acidification at the time of sampling. Thus, the detected Fe(III) concentrations in acidified samples are not reliable. As for , dissolved S concentration was all below detection limit (0.1 mg L-1) using the current analytical method. A more sensitive analytical method is needed for detecting H2S in the solution.

Figure 8 plots measured redox species and observed EH corrected to pH 7.0 for all three plots. A higher correlation was obtained for Mn(II), Fe(II), and CH4 with r2 values of 0.76, 0.73, and 0.76, respectively compared with those for DO, NO3, and SO4 (r2 = 0.53, 0.37 and 0.16, respectively). These results indicate that measured redox potential could be explained by the concentration of some redox species. The results basically agree with the literature that DO, NO-3, and SO2-4 are electrode insensitive. Generally speaking, measured redox potential cannot be used to predict the ratio of redox species or couples unless the reactions occur at the metal electrode surface quickly and reversibly (Kölling, 2000). As most of redox reactions in nature especially in rice paddies are not reversible, it is expected that poor correlation exits between measured EH and some redox species.



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Fig. 8. Correlation between measured redox potential and redox species.

 
Redox Potential and Oxidative Capacity
Figure 9 plots calculated OXC and measured EH from all three plots. Oxidative capacity was calculated by integrating all measurable redox species and thus has a tendency to be able to describe redox status in a more complete manner. However, a weak correlation (r2 = 0.35) was obtained. After examining the data, we note that all the data points far above the regression line came from the straw rolled no winter-flooding plot which had the highest EC corresponding to the highest SO2-4 concentration throughout the season. After eliminating the data for this plot, a much higher correlation was obtained (r2 = 0.87). Thus it is not known if OXC is a site-specific parameter and bears further studies.



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Fig. 9. Correlation between measured redox potential and oxidative capacity.

 
The results from this research indicate that the three methods for describing redox status in paddy soil, i.e., EH, TEAPs, and OXC, are interrelated. Redox potential can still serve as a practical and quick way to indicate redox status if care is taken in its measurement (Kölling, 2000). It is known that the major difficulties in EH measurement and interpretation are because of the lack of equilibrium among various redox reactions and insensitive response of the metal electrode to some redox couples. In addition, spatial and temporal variability associated with assessing the products of microbial respiration and chemical reactions offer difficulties in sampling and interpretation. Imperfect EH values are measured because the redox status in paddy rice system is featured with highly dynamic nature.

Straw Treatment Effect on Redox Status
The incorporation of rice straw results in more reducing conditions in rice field than straw-burned (Fig. 4, Table 3 and 4) as indicated by the lower EH values, the earlier occurrence of more reducing redox couple reactions, and more reducing redox status classified by OXC. The degree to which reducing conditions develop is dependent upon the presence of soil organic matter. The plot with straw burned with winter-flooding produced the least reducing conditions, most likely because of the lower amount of organic C source (straw incorporated). The other two plots that received straw all resulted in lower EH values, higher Mn(II), Fe(II), and CH4 concentrations, and more sulfidic conditions. Comparison among the treatment on soil redox status was limited because of the lack of replicates in this study. However, our further study on straw treatment effects on paddy soil redox chemistry have validated the above results which will be reported in a near future publication.


    SUMMARY
 TOP
 ABSTRACT
 INTRODUCTION
 Description of Redox Parameters
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 SUMMARY
 REFERENCES
 
Platinum-electrode EH measurement is still useful in indicating redox status in paddy soil as it can monitor progressive development of reducing conditions and can distinguish oxic and anoxic conditions well although it provides little information on specific redox processes under anoxic conditions. This research has shown that some redox species could be reflected in the measured EH such as methane, Fe2+, and Mn2+. The TEAPs method can identify the dominant electron-accepting processes but requires intensive sampling and chemical analysis. In this study, changes in electron acceptors and product concentrations, and the dissolved H2 gas (intermediate product) all reflected an overlapping of TEAPs. Oxidative capacity integrates all the major oxidized and reduced species to a single conservative parameter to define a geochemical class of redox status with one major difficulty in estimating Mn and Fe oxyhydroxide concentrations as electron acceptors in rice paddies. The three methods in evaluating redox status strongly complemented each other on changes in redox status. Measurement of redox potential continues to be wildely used as it provides rapid results and can be used to deduce the possible status of the system if some care is taken. Defining dominant TEAPs and calculation of OXC will provide additional insight to specific redox processes.


    ACKNOWLEDGMENTS
 
Funding for this research was provided by Kearney Foundation of Soil Science, Division of Agriculture and Natural Resources, University of California. We thank to three anonymous reviewers and associate editor for their constructive comments and questions.

Received for publication March 12, 2001.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 Description of Redox Parameters
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 SUMMARY
 REFERENCES
 




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