SSSAJ Grow Your Career with SSSA
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (13)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hunter, R. G.
Right arrow Articles by Faulkner, S. P.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Hunter, R. G.
Right arrow Articles by Faulkner, S. P.
GeoRef
Right arrow GeoRef Citation
Agricola
Right arrow Articles by Hunter, R. G.
Right arrow Articles by Faulkner, S. P.
Soil Science Society of America Journal 65:1865-1872 (2001)
© 2001 Soil Science Society of America

DIVISION S-10 - WETLAND SOILS

Denitrification Potentials in Restored and Natural Bottomland Hardwood Wetlands

Rachael G. Hunter and Stephen P. Faulkner*

Wetland Biogeochemistry Institute, Louisiana State Univ., Baton Rouge, LA 70803

* Corresponding author (faulkner{at}lsu.edu)


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
Wetland restoration projects are frequently evaluated by their hydrologic roles and vegetation characteristics, but their success in restoring biogeochemical processes, such as denitrification, is less well known. To determine how restoration of structure affects specific ecosystem processes, denitrification potential, soluble organic C (SOC) concentrations, and soil moisture were measured seasonally over a 1-yr period in replicated natural bottomland hardwood (BLH) wetlands (NAT), restored BLH wetlands with hydrology reestablished (RWH), and restored BLH wetlands without hydrology reestablished (RWOH). Denitrification potential was significantly higher in NAT wetlands (657 ng N2O-N g-1 soil h-1) than in RWOH (167 ng N2O-N g-1 soil h-1) (P = 0.07). Soil moisture was highest in NAT wetlands and lowest in RWOH (P = 0.01), but no differences were measured in SOC concentrations in three out of the four seasons sampled. Because RWOH wetlands exhibited denitrification potentials which were significantly lower than NAT wetland sites, these results demonstrate that a BLH wetland restored without the natural hydrologic regime reestablished will not be a replacement for a natural BLH wetland in terms of biogeochemical processes such as denitrification.

Abbreviations: BLH, bottomland hardwood • chl, chloramphenicol • DEA, denitrification enzyme activity • NAT, natural mature BLH wetlands • RWH, restored BLH wetlands with hydrology reestablished • RWOH, restored BLH wetlands without hydrology reestablished • SOC, soluble organic C • TOC, total organic C


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
WETLANDS are often created or restored to mitigate the loss of wetland functions caused by conversion to another land use. Compensatory mitigation is required under Section 404 of the Clean Water Act (USEPA, 1997) and may occur onsite or through the purchase of acreage credits in a mitigation bank. Millions of dollars have been spent through governmental programs such as the Wetland Reserve Program (WRP) to restore wetlands on marginal croplands (USDA–NRCS, 1995). Although structure (e.g., hydrology and vegetation) is restored in these wetlands, very few studies have been conducted to determine if functions have been restored as well.

In the Mississippi River alluvial valley, <25% of forested wetlands remain (Abernathy and Turner, 1987) and loss of these wetlands affects water quality in the watershed, wildlife populations, and reduces flood control (Walbridge, 1993). One type of forested wetland, BLH wetlands, performs many valuable functions including nutrient uptake and transformations, sediment retention, floodwater storage, and organic C export to downstream ecosystems (Mitsch and Gosselink, 1993). Although mature BLH wetlands perform many useful functions within a watershed, there are few data to indicate whether restored BLH wetlands perform these same functions (Vellidis et al., 1993; Martin et al., 1999).

One important water quality function of natural riparian wetlands is denitrification, a microbial process which occurs in anoxic soils and may be a useful indicator of functioning in a restored wetland when compared with its natural counterpart. We used the denitrification enzyme activity (DEA) assay, a measure of the potential of a microbial population to produce the nitrate reductase enzyme, to evaluate denitrification in restored BLH wetlands.

Our study examines how restoration affects biogeochemical functions in BLH wetlands. The objective of this research was to compare denitrification potentials of natural and restored wetlands with and without hydrologic regime reestablished and relate these potentials to specific soil characteristics. It was hypothesized that denitrification would be higher in natural wetlands than in restored wetlands because of longer hydroperiods and greater soil organic matter in the former.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
Site Description
Study wetlands were located in the Tensas River Basin in northeastern Louisiana (Fig. 1) , an area where agriculture is the primary land use (USDA–NRCS, 1995). The 291500 hectare Tensas River Basin was once over 90% BLH forests. Conversion of ~85% of these forests to cropland resulted in a decrease in water quality of the Tensas River which was caused by runoff of sediments and nutrients from adjacent agricultural fields (USDA–NRCS, 1995). Recently, agricultural croplands are being restored back to BLH wetlands to improve water quality of this river and to provide wildlife habitat and flood storage.



View larger version (55K):
[in this window]
[in a new window]
 
Fig. 1. Location of the Tensas River Basin in northeastern Louisiana (Adapted from Heggem et al., 1999).

 
Three types of BLH wetlands were studied: natural mature wetlands (NAT), wetlands restored with hydrology reestablished (RWH), and wetlands restored without hydrology reestablished (RWOH). Restored wetlands were once natural BLH wetlands that were converted to agricultural fields by clearing vegetation and digging drainage ditches around the wetlands. Both RWH and RWOH sites were replanted with BLH species (Quercus lyrata Walt., Quercus nigra L., Quercus phellos L., Acer rubrum L.). Hydrologic restoration of the RWH sites consisted of installing a water control structure in the drainage ditch adjacent to each site. The water height in the ditch was controlled using a flashboard riser so that surface runoff from adjacent agricultural fields would inundate each site. By using the water control structure, the hydrologic regime of NAT wetlands in this watershed can be simulated. Neither RWOH site had a flashboard riser installed in the adjacent drainage ditch and, therefore, agricultural runoff simply bypassed these sites. Study wetlands were chosen for their proximity to agricultural fields as well as for similarities in soil type, slope, and topography. Two replicates of each type of wetland were chosen. Textural classes were clay for NAT and RWH soils and silty clay for RWOH soils.

Soils in the Tensas Basin are alluvial clays and fine silts and the study wetlands chosen for this research contained primarily Sharkey and Sharkey-Tunica soil associations. Sharkey and Tunica are listed as hydric soils. Sharkey is a very-fine, smectitic, thermic Chromic Epiaquerts and this map unit consists of poorly drained clayey soils with slopes of generally 0 to 3%. Tunica is a clayey over loamy, smectitic over mixed, superactive, nonacid, thermic Vertic Epiaquepts. The Sharkey-Tunica map unit consists of poorly drained and somewhat poorly drained clayey soils with slopes of 0 to 3%. Sharkey soils, occurring in swales, and Tunica soils, occurring on low ridges, make up 58 and 26% of this map unit, respectively (USDA–NRCS, 1995).

Experimental Design
A 20 by 30 m grid system was established in each of the study wetlands. The grid consisted of three columns 10 m apart and four rows 10 m apart. The exception to this grid system was one of the NAT wetlands (Little Fork) which had a 15 by 30 m grid system installed in which the columns were 5 m apart and the rows were 10 m apart. In all wetlands, the grid system was set up so that rows were parallel to the water source. In restored wetlands, the water source was overflow from ditches draining agricultural fields. All wetlands were chosen for their proximity to cropland so that surface flow to the wetlands included runoff from adjacent fields. A mature stand (>=70 yr) is present on NAT wetlands. The RWH sites were both restored in 1990 and the RWOH sites were restored in 1993 and 1994.

Rainfall and groundwater levels were monitored monthly in each study wetland. For groundwater depth measurements, one 90-cm groundwater well was installed every 10 m in the middle row of each site. Water levels were determined monthly by measuring the depth to water in the well using a flashlight and tape measure. Rainfall was measured using tipping bucket rain gauges installed in Dorsey (RWH), Brown (RWOH), Windham (RWOH), and Greenlea (RWH) sites. Because Windham and Canon (NAT) were located beside each other, as were Dorsey and Little Fork (NAT), only one rain gauge was installed for each of these pairs of study wetlands.

Statistical Analysis
For the DEA assay, the experimental design was a split-plot design with wetland type as the whole plot treatment and DEA treatment as the subplot treatment. Distance from the surface water source (i.e., drainage ditches in the restored wetlands) was also included as a block treatment. Data were analyzed using the Proc Mixed procedure of SAS Institute (1994). For the SOC and soil moisture data, the experiment was evaluated as a block design with wetland type as the main treatment and distance from the water source as the block.

Main effects were considered significant if they had a P <= 0.10. Differences among means within each main effect and within interaction effects were evaluated using Fischer's Protected LSD test ({alpha} = 0.10). Relationships between dependent and independent variables were examined using Pearson's correlation coefficients.

Collection of Soil Samples
Twelve soil samples were collected from the upper 15 cm at each study site using a 5-cm diam. soil auger. Samples were collected seasonally for 1 yr. After collection, the soils were stored on ice, brought to the Wetland Biogeochemistry Institute, and refrigerated (4°C). Each soil sample was homogenized by passing it through mesh with 1.25-cm2 holes and then analyzed for gravimetric soil moisture, SOC, and denitrification potential.

Soluble Organic Carbon
From each sample, 10 g of field moist soil was shaken in 100 ml deionized water for 30 min and left standing for 18 h (Kaiser and Zech, 1996). Each solution was then shaken by hand and 40 ml was poured into a centrifuge tube and centrifuged at 7500 x g in a refrigerated Surafuge 22 (Heraeus Sepatech, Germany) for 10 min at 25°C. Twenty milliliters of the supernatant was filtered through a 0.45-µm polysulfone membrane filter into a scintillation vial and stored at 4°C until analysis could be completed. Samples were analyzed for nonpurgable organic C using a Shimadzu TOC-5000A Total Organic C (TOC) analyzer (Shimadzu Scientific Instruments, Inc., Columbia, MD). Nonpurgable organic C concentration in each sample was measured by acidifying the sample with 40 µl of HCl and then purging for 8 min with TOC grade (CO2 free) compressed air. Acidification converts inorganic C to primarily CO2 in these samples and purging volatilizes CO2 out of solution. Samples were then analyzed for organic C concentrations. Results were given as the mean of three replicates per sample. Results were also corrected for soil moisture so that final results were expressed as mg SOC g-1 soil on a dry weight basis.

Denitrification Enzyme Activity Assay
Potential denitrification rates were determined using the DEA procedure of Tiedje (1982). Four 25-g subsamples were taken from soil samples and placed in four 125-ml incubation flasks. The four subsamples were treated with 25 ml of one of the following solutions: Treatment A is 1 g L-1 solution of chloramphenicol (chl); Treatment B is 1 mM KNO3 and 1 g L-1 chl; Treatment C is 1 mM glucose and 1 g L-1 chl; and Treatment D is 1 mM KNO3, 1 mM glucose, and 1 g L-1 chl. Chloramphenicol inhibits protein synthesis so that the microbial population size is the same as at the time of field sampling. By applying these different treatments, it can be determined if denitrification is limited by substrate (NO-3), energy source (glucose), or both. The mixtures were shaken vigorously to obtain a slurry. The flasks were capped with gas impermeable stoppers and made anaerobic by flushing with Ar for 1 min. Ten milliliters of purified acetylene was added to each flask to achieve a final concentrations of 10% (10 kPa) in the gas phase. The soil slurries were placed on a rotary shaker for 1 1/2 h and headspace gas was sampled by syringe at 30 and 90 min. Gas samples were stored in evacuated 10-ml vacutainer vials until N2O could be measured by gas chromatography. Nitrous oxide concentrations were measured using a Tremetrics 9001 gas chromatograph (Tretmetrics, Inc., Austin, TX) with an electron capture detector. Nitrous oxide dissoved in sample water was corrected with the Bunsen relationship, M = Cgsc, where M is the total amount of N2O in water plus gas phase, Cg is the concentration of N2O in gas phase, Vg is the volume of gas phase, Vl is the volume of liquid phase, and D is the Bunsen absorption coefficient (at 25°C). Denitrification rates were expressed as ng N2O evolved per gram dry soil per day. Because this assay measures DEA, these values give an index of denitrifier population size in soils; this index is strongly related to annual soil denitrification rates (Ambus, 1993; Hanson et al., 1994; Groffman et al., 1996).


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
Soil Moisture
Soil moisture was significantly higher in NAT wetlands than in restored (P = 0.01) (Fig. 2) . Soil moisture was also significantly different among seasons, with the highest moisture measured in winter and the lowest measured in fall (P = 0.0001). Soil moisture did not change as a function of distance from the water source (P = 0.88). Results of monthly water table and rainfall measurements are shown for each wetland type in Fig. 3 . Length of saturation in the upper 15 cm of soils during the sampling year was ~104 d for NAT and RWH wetlands and 58 d RWOH wetlands, although saturation was not continuous for the RWOH wetlands.



View larger version (24K):
[in this window]
[in a new window]
 
Fig. 2. Percent moisture in wetland soils. NAT is natural bottomland hardwood (BLH) wetland. RWH is restored BLH wetland with hydrology restored. RWOH is restored BLH without hydrology restored. Standard deviation is denoted by error bars. Treatments with different letters are significantly different at {alpha} = 0.10.

 


View larger version (21K):
[in this window]
[in a new window]
 
Fig. 3. Rainfall and water table levels measured during a 1-yr period in restored bottomland hardwood (BLH) wetlands without hydrology reestablished (RWOH), restored BLH wetlands with hydrology reestablished (RWH), and natural BLH wetlands (NAT).

 
Soluble Organic Carbon
Mean SOC concentrations were not significantly different among wetland types in summer (P = 0.50), fall (P = 0.49), or spring (P = 0.45), but in winter NAT was significantly higher than the restored wetlands (P = 0.02). Soluble organic C concentrations were not affected by the distance that soils were sampled from the water source (P = 0.57), however, they were significantly affected by season (P = 0.0001) (Fig. 4) . Soluble organic C concentrations were highest in winter and lowest in summer and fall.



View larger version (24K):
[in this window]
[in a new window]
 
Fig. 4. Soluble organic C concentrations in wetland soils. NAT is natural bottomland hardwood (BLH) wetland. RWH is restored BLH wetland with hydrology restored. RWOH is restored BLH without hydrology restored. Standard deviation is denoted by error bars. Treatments with different letters are significantly different at {alpha} = 0.10.

 
Denitrification Enzyme Activity Assay
Mean N2O production was significantly enhanced by addition of KNO3 or energy source to the soil samples (P = 0.0001) (Fig. 5) . Treatments D (addition of glucose and KNO3) and C (addition of glucose) produced the highest soil denitrification while Treatment A (no addition) produced the lowest. There were no differences detected between Treatment D (KNO3 + glucose) and Treatment C (glucose). Season significantly affected denitrification potentials, with the highest N2O evolution measured in fall for all wetland types and the lowest measured in spring and summer (P = 0.0001) (Fig. 6) . Denitrification potential was not significantly different among wetland types in summer (P = 0.43) or spring (P = 0.28), but in fall and winter denitrification was highest in the NAT wetlands and lowest in the RWOH (P = 0.02 and P = 0.02, respectively). Distance from the water source did not significantly affect denitrification potential (P = 0.58). Pearson correlation coefficients for DEA, SOC, and soil moisture revealed that there was a significant correlation between SOC and moisture (r = 0.55) and lesser correlations between moisture and N2O evolution (r = 0.21) and SOC and N2O evolution (r = 0.10).



View larger version (17K):
[in this window]
[in a new window]
 
Fig. 5. Nitrous oxide evolution from wetland soils using the denitrification enzyme activity assay. NAT is natural bottomland hardwood (BLH) wetland. RWH is restored BLH wetland with hydrology restored. RWOH is restored BLH without hydrology restored. Standard deviation is denoted by error bars. Treatments with different letters are significantly different at {alpha} = 0.10.

 


View larger version (16K):
[in this window]
[in a new window]
 
Fig. 6. Denitrification potential in wetland soils. NAT is natural bottomland hardwood (BLH) wetland. RWH is restored BLH wetland with hydrology restored. RWOH is restored BLH without hydrology restored. Standard deviation is denoted by error bars. Treatments with different letters are significantly different at {alpha} = 0.10.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
Soil Moisture
Soil moisture was higher in NAT wetlands than in restored most likely because the former wetlands have not had disturbances in hydrology as have the restored wetlands. Restored wetlands with hydrology reestablished had higher soil moisture than the RWOH wetlands because the flashboard risers were effective in raising the water level in drainage ditches causing RWH wetlands to be flooded with surface water.

The NAT and RWH wetland soils were continuously saturated for 104 d while the RWOH soils were saturated for ~44 d, after which time water levels in the RWOH wetlands dropped 30 cm below soil surfaces (Fig. 3). After 2 to 3 wk, water levels were again within 15 cm of soil surfaces in the RWOH wetlands for 2 wk. Because rainfall had decreased from the previous month, this data indicates endosaturation was ocurring in these wetlands. One of the RWOH wetlands was directly influenced by the Mississippi River, in which water levels rise during the spring. Thus, groundwater influences will cause saturation to occur in RWOH soils, but the effects are briefer than surface flooding in NAT and RWH wetlands and also did not reach soil surfaces in this sampling year.

Soil moisture for all sites was lower in the fall than in any other season, which is typically the period of greatest moisture deficit. Rainfall was measured monthly, and for the 1997 and 1998 sampling period, highest rainfalls were recorded in January. Lowest rainfalls for the sampling year were recorded in August and September 1997, causing soils to be dried out by October 1997, when fall samples were collected. Soil moisture was lower in NAT soils than in the RWH soils in fall probably because transpiration by mature trees growing in these study sites caused a drop in the water table.

Soluble Organic Carbon Concentrations
Contrary to expectations, no differences were seen in SOC concentrations among wetland types during three out of the four sampling seasons. It was assumed that SOC would be greater in the NAT wetlands than in restored because the former wetlands have a thick leaf litter layer on soil surfaces while the restored do not (Hunter, unpublished data, 1999–2000). Restored wetlands were once cultivated and organic matter that accumulated while the area was wetland may have been oxidized when soils were aerated upon drainage for agriculture and during tillage. Cultivation over a long period of time will reduce concentrations of soluble sugars in soils (Boyer and Groffman, 1996).

Soluble organic C concentrations were higher in winter than in any other season in all wetland types. Litterfall, dead herbaceous vegetation, and root biomass may be decomposed in late fall and early winter, thus creating higher concentrations of soluble C when these soils were sampled in January. In addition, the highest rainfall of the year was recorded in January (Fig. 3) and in the NAT wetlands excessive rainfall may have leached C out of the litter layer and into the upper soil surface (Moore, 1997). The restored wetlands did not have an accumulated litter layer and therefore, had no SOC peak in January due to leaching.

Denitrification Enzyme Activity Assay
There was a large amount of sample variation for N2O evolution measured within each wetland type and these results are consistant with many studies measuring both denitrification rates and potentials (Parkin, 1987; Groffman et al., 1992; Groffman et al., 1996; Verchot et al., 1998; Martin et al., 1999). Study wetland soils have a high clay content (NAT is 59%, RWH is 68%, and RWOH is 47%) and the small particle size of clay can create microsites within soil that exhibit extreme variation in O and organic matter concentrations and water content which lead to differences in microbial populations (Christensen et al., 1990; Hill, 1996). Relationships between N2O evolution and SOC and soil moisture were very weak and this is most likely because the high N2O sample variation measured in the DEA assay prevented any significant relationships from being detected.

Higher DEA was measured in all soils receiving Treatment D than in those receiving the other three treatments because Treatment D supplied both NO-3 and an energy source (glucose) for denitrifiers, while the other treatments were limited by NO-3 (Treatment B), energy source (Treatment C), or both (Treatment A) (Fig. 5). Because no significant differences were found between Treatments C and D, soils of these wetlands may be C limited relative to the available soil NO-3 (Beauchamp et al., 1989; Hill, 1996; Schnabel et al., 1996; Luo et al., 1998; Verchot et al., 1998).

Restored wetlands without hydrology reestablished consistently had denitrification potentials which were lower than the other two wetland types because these sites were saturated in the upper 15 cm for about half the time that soils in NAT and RWH sites were saturated. Length of saturation will affect O concentrations and, thus, microbial activity and composition (Mitsch and Gosselink, 1993). Surface flooding will therefore indirectly affect numbers of denitrifiers because it directly affects length of soil saturation.

Another probable reason that denitrification potential was lower in the RWOH wetlands than in the other wetlands is related to the source of surface floodwater. Hydrologic inputs to the NAT and RWH wetlands come from runoff from agricultural fields, rainfall, and groundwater while the only inputs to RWOH are groundwater and rainfall. Agricultural runoff contains N, P, and organic matter which will cause increases in soil microbial populations. Verchot et al. (1998) found that microbial populations in subsoils of vegetated filter zones were significantly impacted by exposure to agricultural runoff, with the number of denitrifiers increased over preexposure numbers. Drury et al. (1998) studied the long-term effects of fertilization on clay loam soil and found that it resulted in 35% higher denitrification capacity and 65% higher CO2 production than in unfertilized soils, indicating that microbial populations were higher with fertilization.

It is unclear why higher denitrification potentials were measured in fall than in any other season. Because soil moisture was lower in fall than during the rest of the year, oxidation of organic matter may have been higher than in months when soils were saturated or flooded. Because denitrifiers are primarily heterotrophs, elevated C concentrations may increase numbers of these microbes. Although this hypothesis is not supported by SOC data, it must be emphasized that SOC includes water soluble sugars, amino acids, fulvic acids, and humic acids (Dalva and Moore, 1991), but does not include other C sources that are not water soluble such as cellulose, which is readily utilized by heterotrophs once it has been hydrolyzed into smaller subunits (i.e., cellobiose and glucose) by soil fungi (Wagner and Wolf, 1998). Concentrations of SOC were higher in winter than in other seasons, but lower temperature in January may have inhibited microbial growth.

There has been extensive research investigating denitrification capacity of riparian areas, demonstrating that these areas are capable of providing a buffer zone for removal of NO-3 from agricultural runoff water (Ambus and Lowrance, 1991; Groffman et al., 1992; Lowrance, 1992; Hanson et al., 1994; Schipper et al., 1993; Maag et al., 1997; Jordan et al., 1998; Verchot et al., 1998). On an annual basis, the NAT, RWH, and RWOH wetlands could remove 8.2, 5.7, and 1.4 g NO3-N kg-1 soil yr-1, respectively. These figures were calculated based on mean results for Treatment B in the DEA assay because this treatment measured denitrification activity that occurs with addition of NO-3, simulating conditions in late winter and early spring when NO-3 is present in surface runoff from adjacent cropland. Thus, even though DEA was lower in the RWOH wetlands than in the other two types, these wetlands did have the capacity to remove NO-3 through denitrification. Surface runoff never flooded these restored wetlands, however, it bypassed them because it was confined to drainage ditches. Because these wetlands were removed from the surface hydrology of the watershed, RWOH wetlands would not provide improvements in water quality even though denitrifying microorganisms were present in soils.


    CONCLUSIONS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 
Restored wetlands without hydrology reestablished had significantly lower DEA than natural wetlands, demonstrating that restoration of wetland biogeochemical functions is connected to onsite hydrology. Because RWH wetlands also had lower denitrification potentials than NAT wetlands, restoration of water quality functions is dependent upon more than just hydrology. Further work is necessary to identify the role of land-use practices and C quality (among others) as additional factors controlling denitrification in these restored wetlands.

Weak relationships were detected between N2O evolution and soil moisture and SOC concentration, however we believe this is because of the large amount of N2O sample variation within each wetland study site. It is well documented that soil denitrification rates are directly influenced by soil moisture, O, and organic matter concentrations.

To fully restore BLH wetlands, it is necessary to modify drainage ditches around restored wetlands to imitate the natural hydrology of BLH wetlands in the Tensas River Basin. As demonstrated by this research, flashboard risers can provide surface flooding onto restored wetlands at a duration equivalent to surface flooding in natural wetlands. By installing water control structures, the natural cycle of winter and spring flooding can be emulated and restored wetlands will be connected to the surface hydrology of the watershed. If runoff water bypasses wetlands via drainage ditches then even if denitrifying microorganisms are present in soils, the wetlands will not be improving water quality before runoff water reaches nearby rivers and streams.


    ACKNOWLEDGMENTS
 
The authors thank Kimberly Gibson for her help with laboratory analyses and Clint Waddell for his help with sample collection. This research was funded by a grant from Louisiana Department of Environmental Quality.

Received for publication August 30, 1999.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 CONCLUSIONS
 REFERENCES
 




This article has been cited by other articles:


Home page
Soil Sci.Home page
J. R. White, K. R. Reddy, and J. Majer-Newman
Hydrologic and Vegetation Effects on Water Column Phosphorus in Wetland Mesocosms
Soil Sci. Soc. Am. J., May 23, 2006; 70(4): 1242 - 1251.
[Abstract] [Full Text] [PDF]


Home page
Soil Sci.Home page
G. L. Bruland and C. J. Richardson
Hydrologic Gradients and Topsoil Additions Affect Soil Properties of Virginia Created Wetlands
Soil Sci. Soc. Am. J., November 1, 2004; 68(6): 2069 - 2077.
[Abstract] [Full Text] [PDF]


Home page
J. Environ. Qual.Home page
P. M. Groffman and M. K. Crawford
Denitrification Potential in Urban Riparian Zones
J. Environ. Qual., May 1, 2003; 32(3): 1144 - 1149.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (13)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hunter, R. G.
Right arrow Articles by Faulkner, S. P.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Hunter, R. G.
Right arrow Articles by Faulkner, S. P.
GeoRef
Right arrow GeoRef Citation
Agricola
Right arrow Articles by Hunter, R. G.
Right arrow Articles by Faulkner, S. P.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education
Vadose Zone Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome