A multi-scale assessment of the impacts of vegetated buffer strips on surface water quality in southern Illinois
Bibliographic record
Abstract
Intensive agricultural practices have the potential to introduce significant loads of sediment, nutrients, and fecal contamination into surface waters. A two phase study was conducted to assess the impacts of vegetated buffer strips on surface water quality in southern Illinois, USA. Phase one entailed a plot scale study that examined the ability of various vegetated buffer strip species to reduce fecal coliform bacteria and E. coli in overland flow, while also assessing fecal bacteria persistence in associated buffer soils. In July 2008, giant cane (Arundinaria gigantea (Walt.) Muhl.), Kentucky Bluegrass (Poa pratensis), Orchardgrass (Dactylis glomerata L.), and control (i.e., non-vegetated) buffers were established in sloped, 1x10 m plots. During June 2009, the upslope end of each plot was flooded with cattle (Bos taurus) manure laden water with a mean E. coli concentration of 2,111 MPN 100 mL -1, and a mean fecal coliform concentration of 2,634 CFU 100 mL -1. Mean E. coli concentrations in overland flow exiting the giant cane, Kentucky Bluegrass, Orchardgrass, and non-vegetated control plots were 14,387, 16,689, 16,045, and 10,256 MPN 100 mL -1 respectively. Overland flow samples were significantly higher than the initial tank for both E. coli (p < 0.01) and fecal coliform levels (p < 0.01). Vegetative treatment had no overall significant effect on E. coli levels, however, vegetative treatment did have an overall significant effect on fecal coliform levels (p = 0.04). Mean overland flow fecal coliform levels were significantly lower in non-vegetated control plots. To assess E. coli persistence in plots, overland flow was collected from a 50.8 mm hr -1 simulated rainfall event 4 days following the initial manure slurry application, and from natural rainfall events 22, 46, 93, 97, and 111 days after the application. Over the course of the 6 precipitation events, mean E. coli levels in overland flow exiting the giant cane, Kentucky Bluegrass, Orchardgrass, and non-vegetated control plots were 14,310, 10,366, 6,144, and 5,538 MPN 100 mL -1 respectively. Vegetative treatment had no overall significant effect on E. coli persistence during this time period. The seemingly poor microbial attenuation performance of study VBS may have resulted from the presence of concentrated flow paths and high ambient levels of fecal indicator bacteria within plots. Phase two entailed a paired-watershed approach that compared the chemical and physical attenuation abilities of giant cane and forested vegetated buffer strips at the watershed scale. This phase of the study is currently in year two of a three year calibration period. Water samples within three small (< 100 ha) agricultural watersheds were collected during both stormflow and baseflow and analyzed for total suspended solids (TSS), turbidity, nitrate-N, dissolved reactive phosphorus (DRP), ammonium-N, pH, conductivity, and fecal indicator bacteria. Stormflow and baseflow event mean concentrations were used to perform inter and intra-watershed comparisons. Stormflow event mean concentrations for TSS, nitrate-N, and ammonium-N were significantly higher than baseflow concentrations for two of the three watersheds. Inter-watershed significant differences were exhibited exclusively during stormflow, and occurred only for TSS and DRP. Watershed scale studies that examine the water quality impacts of vegetated buffer strips establishment are rare, and the ability of giant cane buffers to attenuate fecal indicator bacteria in overland flow is an area that has received no research attention to date. Results from this research will provide managers with more information on a broader range of species to incorporate into mixed species vegetated buffer strip designs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".