The significance of forest cover, topographic position and some meteorological variables for throughfall of rain under a balsam fir forest in western Newfoundland
Bibliographic record
Abstract
Throughfall, the process of rainfall passage through a tree canopy to the forest floor, is a major water flux in the forest hydrological cycle. Balsam fir has not been studied for this flux in western Newfoundland where it is the predominant tree species. -- Data were collected from June 7 to October 7 1998 to describe throughfall magnitudes and variability. An analysis of variance model was applied to investigate balsam fir forest cover, topographic position and interaction of these factors on throughfall receipt. A sample size of 36 plots for incident rainfall and 36 for throughfall was monitored during the study. Correlative relationships with meteorological variables recorded by a on-site data logger system were also investigated. -- Balsam fir forest cover was found to be the predominant variable influencing throughfall flux on a seasonal basis, with the throughfall percentage averaging 85% of incident rainfall over 28 discrete rainfall events. High inter-event variability in throughfall flux was found and is attributed to differences in the character of the rainfall events over the study duration. Topographic position was not significant on a seasonal basis. Significant meteorological influence amongst collections was detected. Air temperature, relative humidity and wind speed were not correlated with the throughfall magnitudes. Weighting of rainfall amounts and intensities did exhibit significant correlation. Analyses of wind direction at the plot level demonstrated significant windward and leeward effects on throughfall magnitudes. The throughfall process was dominated by canopy saturation and a steady state drip, although minor occult precipitation influences were observed. An exceedance of throughfall over incident rainfall was also observed, indicating the presence of non steady state throughfall regimes for balsam fir forest cover.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".