Nitrate in shallow groundwater after more than four decades of manure application
Bibliographic record
Abstract
Over-application of manure to agricultural fields can leach nitrogen below the root zone and contaminate groundwater. The goal of this study was to evaluate the factors affecting the spatial and temporal distribution of nitrate in shallow groundwater following 44 years of manure application to irrigated and non-irrigated long-term test plots. Sampling of 26 wells over an 18-month period revealed high spatial variability of groundwater nitrate concentrations, ranging from <0.1 mg-N/L to 1350 mg-N/L (mean = 118 mg-N/L). The highest concentrations were associated with the highest manure nitrogen loads, longer durations of manure application, and were generally located beneath irrigated land use. Regression modeling confirmed that cumulative manure loading had the greatest control on the spatial distribution of groundwater nitrate. A significant decreasing temporal trend was observed in selected wells downgradient of plots where manure application ceased more than a decade earlier. Isotopic analysis of 15N-NO3 and 18O-NO3 showed that denitrification occurred at 16 well locations, with evidence for dissolved organic carbon as the electron donor. The groundwater nitrate trends observed in this long-term study demonstrate that historical nutrient and water management practices will affect groundwater quality for many decades to come.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".