Recommendations for riparian buffer widths based on field surveys of erosion processes on steep cultivated slopes
Bibliographic record
Abstract
Results of field surveys are used to build knowledge about erosion processes occurring on steep cultivated slopes next to watercourses, and to propose conservation measures with an emphasis on widths for riparian buffer strips. The surveys were conducted on a 108-km2 watershed in Portneuf region, Québec, Canada. Using a handheld global positioning system (GPS), measuring tapes, a 0.5-m resolution satellite image and a 1-m resolution Digital Terrain Model (DTM), 12 erosion-prone areas, totalling 53 ha, located close to river banks were surveyed during four days of the rainy and snowmelt period of April–May 2012. As a result, 328 erosion features were identified and classified into 10 categories. Predominant erosion features included rills, ephemeral gullies and sheet erosion (70% of all features observed). Rills and smaller gullies had lengths of 0.5–160 m, depths of 5–55 cm, and breadths of 5–130 cm. Most erosion features (n = 194) occurred on hillslopes > 8% and had lengths of 10–60 m. At present, most riparian buffer strips in the surveyed field are 1–3 m wide, which is the minimum dimension required by the provincial policy that regulates vegetated filters. In most places surveyed, ephemeral gullying on steep slopes simply extends through the thin 1–3 m buffer strip to easily discharge sediments and pollutants into flowing streams. Based on the local slopes assessed, it is proposed herein to convert these steep cultivated hillslopes into riparian buffer strips of 10–60 m, so that vegetated strips effectively act as boundaries between watercourses and damaging uphill erosion processes, which are sources of sedimentation and, in all likelihood, eutrophication.
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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 | 0.007 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".