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Southeast Watershed Research Lab., 2379 Rainwater Road, Tifton, GA 31794
* Corresponding author (Lorenz{at}tifton.usda.gov)
Received for publication July 26, 2004.
| ABSTRACT |
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Abbreviations: DMRP, dissolved molybdate-reactive phosphorus GFS, Gibbs Farm site LIFE, Low Impact Flow Event sampler TKN, total Kjeldahl nitrogen TVU, TiftonVidalia Upland
| INTRODUCTION |
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There are still very few studies that measure the effectiveness of either vegetated filter strips or riparian forest buffers under natural rainfall conditions at a scale appropriate to represent management units realistically. Clausen et al. (2000) studied nutrient transport and developed N budgets for a restored fescue (Festuca spp.) buffer in Connecticut. They found that loads and concentrations of nitrate-N, total Kjeldahl N (TKN) and total P were reduced in runoff compared with the control, which was an unrestored riparian cornfield. Verchot et al. (1997) found that on North Carolina Piedmont sites, forested buffers might be either sources or sinks of nutrients in surface runoff. The forest buffers were ineffective during the winter and spring when water-filled pore space exceeded 25 to 35% and infiltration was low. Infiltration was the key factor controlling N pollutant removal from surface runoff. Therefore, buffers in the clayey soils of the Piedmont may not be as effective as sandy coastal plain soils (Verchot et al., 1997). Daniels and Gilliam (1996) found that combined grass and riparian forest filters reduced runoff loads of nutrients by 50 to 80%. The reduction in the chemical load depended on the nutrient and its form. Filters reduced total P load by 50%, but 80% of the soluble DMRP arriving at the field edge frequently passed through the filters. The filters retained 20 to 50% of the ammonium-N and approximately 50% of the TKN and nitrate-N. High-volume flows commonly overwhelmed both grass and riparian filters next to cultivated fields. Forested ephemeral channels had little vegetation and were effective sediment sinks during the dry season but were ineffective during large storm events because there was little resistance to flow (Daniels and Gilliam, 1996).
This study was a test of the three zone buffer system proposed as a USDA practice by Welsch (1991) and Lowrance (1991). The three zone buffer consists of a grass buffer (Zone 3) adjacent to the crop field; a managed forest (Zone 2) where trees can be clear-cut or thinned; and a permanent forest (Zone 1) where only selective harvesting of trees to correct drainage problems is allowed. The USDANatural Resources Conservation Service (NRCS) practice standards provide for this combination of vegetated filter strips and riparian forest buffer at the edge of field where control of nutrient and sediment movement to streams is needed. Although the three zone buffer system is based on scientific principles developed from studies of mature buffers, it has received few tests under field conditions. The studies reported here provide one of the first tests of surface runoff nutrient control by managed buffers of a scale and complexity typical of real-world conditions. We studied the performance of a grass filter strip and a down slope managed riparian forest buffer under natural rainfall conditions and along an entire stream reach that encompassed three management treatments for the forested buffer. This study was designed to provide information on both concentrations and loads of N, P, and chloride in direct surface runoff moving through a managed riparian buffer system. This is a companion study to previously published studies from the same site on sediment and water transport (Sheridan et al., 1999); subsurface hydrology (Bosch et al., 1994, 1996); herbicide transport (Lowrance et al., 1997); subsurface nutrient and chloride transport (Hubbard and Lowrance, 1997; Lowrance et al., 2000b); soil ecology (Lowrance, 1992; Ettema et al., 1999a, 1999b); and model testing (Inamdar et al., 1999a, 1999b; Lowrance et al., 2000a).
The specific objectives of this study were to (i) determine the effects of harvest of a part of the mature riparian forest on the movement of N, P, and chloride in surface runoff; (ii) determine the spatial variability of N, P, and chloride movement in surface runoff in a grass filter strip, a mature riparian forest, and a managed riparian buffer; and (iii) determine the concentrations and loads of N, P, and chloride in surface runoff in a three zone buffer system managed according to USDA-NRCS practice standards.
| MATERIALS AND METHODS |
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The GFS is a hillside with a 1.1-ha cultivated field draining into approximately 0.9 ha of riparian forest. A second-order intermittent stream drains the site. The cultivated field had an average slope of 2.5% and the average distance from the field to the stream was 75 m. The soil of most of the GFS riparian forest is an Alapaha loamy sand (fine-loamy, siliceous, acid, thermic Typic Fluvaquents). The soil of the adjacent upland area is a Tifton loamy sand (fine-loamy, siliceous, thermic, Plinthic Kandiudult). The upland soil extends approximately 10 m into the buffer system and included the grass buffer established for this study. Although permeabilities of the Alapaha and Tifton soils are similar, the Alapaha soil has a high water table for much of the year while the Tifton soil does not.
A three zone riparian buffer system was established at an existing riparian forest site for this research project in 1992 (Fig. 1) . The upper part of the site at the field edge was steeper than the lower part of the site near the stream (Fig. 1). The site extended 120 m across the hillside (perpendicular to the slope). The buffer consisted of three zones. Zone 3 was an 8 m wide strip of common bermudagrass [Cynodon dactylon (L.) Pers.] and bahiagrass (Paspalum notatum Flugge.). The grass strip was interplanted with perennial ryegrass (Lolium perenne L.) during its establishment. Zone 2 (before timber harvest) was a 45- to 60-m wide band of slash pine (Pinus elliottii Engelm.) and long leaf pine (Pinus palustris Mill.). Zone 1 was a 15-m wide band of trees with mostly hardwoods including yellow poplar (Liriodendron tulipifera L.) and swamp black gum (Nyssa sylvatica var. biflora Marsh.). The entire buffer averaged 75 m in width (range 6883 m) along an intermittent second-order stream channel. The distance across the site was divided into three equal 40-m sections in which the Zone 2 forests received different treatments (Fig. 1). In early November 1992, one section of Zone 2 forest was clear-cut and one section was selectively cut (thinned) to one-half of the original tree basal area. A third Zone 2 forest block was left as a mature forest (control) area (Fig. 1). The mature forest of Zone 2 and all of Zone 1, with average tree ages of about 50 yr, were considered to be in a steady state condition with very little net increase in biomass. The timber harvest was done with a feller-buncher equipped with floatation tires. After harvest, all branches greater than approximately 2.5 cm (1 inch) diameter were removed from the harvested sites. Any branches <2.5 cm diameter were redistributed by hand within the plot to provide a relatively uniform cover of debris. There was limited rutting of the plots and no intentional soillitter disturbance such as occurs when branches and other debris are windrowed. The harvest was done very carefully to limit increases to spatial variability in the harvested sections. The clear-cut Zone 2 was replanted with improved slash pine in winter of 1993 and naturally occurring vegetation was allowed to grow with no attempt at control. No seedlings were planted in the thinned Zone 2 area. The timber harvest practices are typical of BMPs applied in riparian zones except for the absence of windrowed debris and attention to minimizing soil disturbance. It is likely that our experimental forest harvests caused much less disturbance than typical harvests. All Zone 3 and Zone 1 areas received uniform treatment throughtout. No timber was harvested from any of the Zone 1 areas.
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Sample Collection and Handling
Surface runoff was collected from December 1992 through December 1996 using the Low Impact Flow Event sampler (LIFE sampler; Sheridan et al., 1996, 1999). Two types of LIFE samplers were used to collect either 10 or 1% of the flow through a 30.5-cm wide "dustpan"a collection apron mounted flush with the soil surface. The 10% collection was made by splitting the flow into 10 pathways at the back of the collector and collecting the flow from one pathway. The 1% sample was collected by connecting two 10% samplers in series. The water flowed into a buried sample receptacle made from a 1 m long piece of 10-cm diameter PVC pipe with capped ends. One of each type sampler was located at each of four positions in the buffer. The positions were defined by the zonal interfaces (six samplers per zonal interface) (Fig. 1). In addition, six samplers were located in the middle of Zone 2.
Surface runoff samples were collected, volumes were measured, and subsamples collected for nutrient analysis on the work-day following each rainfall event. Samples from all collectors that had volumes >100 mL were used for each surface runoff event. Samples were taken in chemically clean glass bottles with Teflon-lined caps. Samples were collected by pumping the receptacles with a peristaltic pump while agitating the sample by mixing with the inlet line of the pump. Samples were stored in coolers in the field and then transported to lab refrigerators (4°C) within 2 h of collection.
In the lab, samples were filtered through Whatman 934 AH filters for determination of suspended sediment (Sheridan et al., 1999). An aliquot of the filtrate was stored for dissolved nutrient analysis. In addition an aliquot of the unfiltered sample was stored for analysis of TKN and total P in a digestate. The filtered sample was analyzed for nitrate-N, ammonium-N, dissolved molybdate-reactive P (DMRP), and chloride using USEPA approved colorimetric techniques (Clesceri et al., 1998) on a Lachat Flow Injection Analyzer. Both the filtered and unfiltered sample were analyzed for TKN and total P using digestion and colorimetric techniques adapted from USEPA-approved methods (Clesceri et al., 1998). The TKN and total P sediment fractions were calculated by subtracting filtered concentrations from unfiltered concentrations for a sample. Total N was calculated as the sum of unfiltered TKN and nitrate-N.
Data Analysis
Flow-weighted concentrations and unit area loads were calculated from the flow volumes and the laboratory data on concentrations. Flow-weighted concentrations were calculated for each collector and event based on the (Event concentration x Event volume)/Total volume for the collector for the entire study. The sums of these event flow-weighted concentrations are the mean flow-weighted concentrations for the entire study. Loads were calculated for each collector and event as Concentration (mg L1) x Volume (converted to L m1 of collector edge). Loads were summed for the entire study and converted to units of g m1. The total load changes within the overall buffer were used to estimate the percentage load reduction by Zones 3 and 2 of the managed buffer system. The runoff water enters the buffer at Position 1, so this is the entering load. Load reductions were calculated as the [(Position 1 load Downslope load)/Position 1 load] x 100. The load reduction for the entire buffer was calculated as [(Position 1 load Position 4 load)/Position 1 load] x 100.
Data were tested for normal distribution using the Univariate Procedure of the Statistical Analysis System (SAS Institute, 1999). The concentration data were not normally distributed, so typical analysis of variance was not used. Instead, the NPAR1WAY procedure of SAS with the Kruskal-Wallis test was used. The NPAR1WAY procedure is a nonparametric procedure that tests whether the distribution of a variable has the same location parameter across different groups. The Kruskal-Wallis procedure tests the null hypothesis that the groups are not different from each other by testing whether the rank sums are different based on a Chi-square distribution (Sokal and Rohlf, 1981). Data were analyzed to determine if there were differences among positions within a treatment (mature, clear-cut, or thinned) and differences among treatments within a position. Data were also analyzed to determine if there were differences among positions for all data pooled.
Data will be presented both for positions within the individual treatments and for the entire riparian buffer. Although there were differences both within the treatments and as the water entered the buffer system, the overall average concentrations and sums of loads provide an understanding of the entire buffer system. This is particularly relevant to the management of buffers along streams becauseon a given stream reachthe forest buffer managed according to USDA-NRCS practice standards would typically be in various stages of growth from immediately post clear-cut to mature. The average concentrations and sums of loads are the values that could be expected from this average buffer. All samples are reported based on their position within the buffer. The four landscape positions are: Position 1, field edge (water entering Zone 3, the grass buffer); Position 2, entering Zone 2 (after water has moved through the grass buffer); Position 3, middle Zone 2 (after water has moved through half of the Zone 2 forest buffer); and Position 4, entering Zone 1 (after water has moved through all of the Zone 2 buffer). Entering Zone 1 was as close to the stream channel as samplers could be located because Zone 1 was typically inundated during high stream flow events several times a year. Therefore, the samples collected in this study do not reflect the final filtering that takes place in the Zone 1 portion of the buffer.
| RESULTS AND DISCUSSION |
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Chloride was significantly different among positions for all treatments (Table 2). Chloride concentrations increased by 5 to 6 mg L1 from Position 1 (field edge) to Position 4 (entering Zone 1). The increase was consistent with an increase in ground water chloride observed at the same site (Lowrance et al., 2000b). Although there are no process studies available to account for the increases in chloride concentrations, speculation has centered on the effects of evapotranspiration to increase the ground water concentration. If this is the reason for the ground water concentration increase, the surface runoff concentration increase could be due to increased ground water seepage contribution (exfiltration) to surface runoff as the water moves down slope from the field edge. If the change in chloride concentrations are due in part to exfiltration, this would be expected to change the concentrations of other constituents as well.
The lack of consistent treatment and position effects was related to high spatial variability but may also be due to the lack of true replication among the treatment blocks. Because of the scale and intensity of the sampling, replicate treatment blocks were not possible. In addition, the number of observations for a treatment position combination ranged widely from a low of 59 to a high of 193. Because of the design of the experiment to capture runoff from natural rainfall events in a real-world multi-zone buffer, there were large differences in the number of samples collected at various points in the landscape.
Concentrations and Loads Averaged across Management Treatments
Real-world buffers along a stream are likely to have various portions in different stages of development. The stages of development could include recent thinning and clear-cut, in addition to mature forest buffer. The buffer could also be receiving different inputs from different parts of the adjacent field. The Gibbs Farm riparian buffer represents these real-world conditions and the average concentrations and loads in this system can be considered representative of the average concentrations and loads passing through a managed Coastal Plain buffer.
There were significant differences among all flow-weighted concentrations with the exception of sediment total N and sediment total P (Fig. 2) . Nitrate, ammonium, DMRP, and total P concentrations decreased significantly within the buffer from Position 1 to either Position 3 or 4 (Fig. 2a, 2b, 2f, 2g). Total kjeldahl N and total N increased significantly from Position 1 to Position 4 and chloride concentrations increased consistently throughout the buffer with most of the increase coming from Position 3 to 4 (Fig. 2i).
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Loadings at each position were controlled by the runoff volume for most nutrients (Fig. 3) . All loadings were significantly different among positions (at least the 0.05 level for the Kruskal-Wallis test). Runoff volume decreased from Position 1 (field edge) to Position 2 (entering Zone 2) with a slight increase at Position 3 (middle of Zone 2) as it moved through the grass buffer and the first part of the forest buffer. Runoff increased at Position 4 (entering Zone 1). With the exception of chloride, all loads were lower at Position 4 than Position 1. All loads also increased from Position 3 to 4, showing the dominant influence of the amount of runoff on load calculations. The similarity of the patterns of load changes to the pattern of runoff volume changes across positions reflected the relatively minor concentration changes among positions. As with herbicides in surface runoff at this site (Lowrance et al., 1997), most of the load reduction takes place in the grass buffer, between Positions 1 and 2. Although all loads (except chloride) were reduced in the buffer compared with the edge of field load, the runoff volume increase within the buffer tended to increase the load at Position 4 as the water entered Zone 1.
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The total load changes within the overall buffer (Fig. 3) can be used to estimate the percentage load reduction by Zones 3 and 2 of the managed buffer system (Table 3). The overall buffer had load increases between Positions 2 or 3 and Position 4, largely due to flow increases nearer the stream. Thus, the percentage load reduction between Positions 1 and 4 was always less than the maximum percentage load reduction. The load reduction for the entire buffer was calculated as the difference between Positions 1 and 4. Table 3 shows load reductions between Position 1 and all downslope positions. Load reductions from Position 1 to 4 ranged from 27 to 63%. Maximum reduction generally occurred between Positions 1 and 2 in the grass buffer strip, except for nitrate-N and ammonium-N for which maximum reduction occurred between Positions 1 and 3. Maximum reductions ranged from 65 to 80%. These reductions represent the large amount of filtering through infiltration that occurred in Zone 3. Sheridan et al. (1999) found similar sediment load reductions in Zone 3 with about 80% of the entering load deposited in the Zone 3 grass buffer. This was similar to the 80 and 70% reduction in Zone 3 (Positions 1 and 2, Table 3) observed for sediment N and sediment P in this study.
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| SUMMARY AND CONCLUSIONS |
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| REFERENCES |
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