Effects of harvesting on nitrogen and phosphorus availability in riparian management zone soils in Minnesota, USA
Bibliographic record
Abstract
Riparian management zones (RMZs) protect streams from excess nutrients, yet few studies have looked at soil nutrients in forested RMZs or the impacts of partial harvesting on nutrient availability. We investigated the impacts of upland clearcutting in conjunction with uncut and partially harvested RMZs (40% basal area reduction) on soil nutrients in forests in Minnesota, USA. Nitrate, ammonium, and phosphorus were measured using exchange resins. Upland clearcutting increased dormant and growing season nitrate, ammonium, and total inorganic nitrogen in the upland 2 to 5 times compared with uncut upland. Upland clearcutting increased dormant and growing season nitrate and total inorganic nitrogen just inside the RMZ boundary 2 to 5 times compared with this location adjacent to uncut upland. Dormant season nitrate and total inorganic nitrogen were 2 times higher in the entire RMZ adjacent to upland clearcut. Phosphorus was not affected by treatment. Partial harvesting of the RMZ did not increase nutrients compared with the uncut RMZ. Results suggest that nitrate is transported into the RMZ from adjacent clearcuts but partial harvesting of the RMZ does not increase nitrate availability.
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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 | 0.000 | 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 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".