Forest harvesting impacts on the peak flow regime in the Columbia Mountains of southeastern British Columbia: An investigation using long‐term numerical modeling
Bibliographic record
Abstract
Numerical hydrologic simulation, in combination with synthetic weather generation, was used to assess the sensitivity of the peak flow regime for hourly, daily, and 7‐day discharge to hypothetical harvesting scenarios in Redfish Creek in southern British Columbia. Simulation was based on stationary vegetation cover, thus representing potential peak flow regime adjustments during the first few critical years following harvesting. The relative difference between preharvest and postharvest peak discharge quantiles (Δ Q T ), estimated by comparing GEV distributions fit to the simulated preharvest and postharvest annual maximum series, tended to increase with increasing harvest area; however, the relationship was strongly influenced by the elevation distribution of harvest blocks. Although rainfall was determined to be a factor in roughly three quarters of all peak discharge events, the flood frequency of Redfish Creek is fundamentally a function of the frequency structure of snowmelt runoff. Consequently, changes in runoff synchronization between various elevation bands largely drove the magnitude of Δ Q T , and the degree of increased synchronization was found to be greatest following harvesting above H60 (elevation above which lies 60% of basin area) and least following harvesting below H60. As a result, only harvesting schemes that incorporated cut blocks above H60 tended to generate significant (α = 0.05) Δ Q T for a wide range of return periods ( T ), regardless of discharge timescale. Significant Δ Q T ranged from 6 to 14% for hourly, 5 to 14% for daily, and 5 to 20% for 7‐day discharge in the range of 1.25 ≤ T ≤ 100 years. For a given scenario, hourly and daily Δ Q T showed little variation with T , suggesting that small and large discharge events responded similarly to forest harvesting. However, this apparent trend substantially overstates Δ Q T for the largest hourly and daily peak discharge events such that the relationship of Δ Q T to T is inconclusive for T > 30 years. For 7‐day discharge, Δ Q T increases with increasing T for 1.25 ≤ T ≤ 100 years.
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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 | 0.003 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".