Establishment and early growth of jack pine (Pinus banksiana Lamb.) in Acton Township Ontario / Cassian W. Sianga. --
Bibliographic record
Abstract
The objective of this study was to investigate the effect of different site \npreparation methods on the establishment and growth of jack pine (Pinus banksiana Lamb.) on two different soil types. These sites were either site prepared using TTS Disc Trencher or by prescribed burning; sites were regenerated by seeding or by containerized planting. Data were collected in 7 year old jack pine plantations near Wawa, Ontario on \nsoils developed from glacialfluvial and moraine deposits. A total of 600 sample trees were randomly selected representing the soil types, the site preparation and the regeneration methods. The sampled trees were cut and their total volume determined. The data were \nanalysed as a split-plot design. The analysis of variance showed no significant difference between the seeded and containerized planted trees except with growth of basal area per hectare. There was also no significant difference in growth between soil type or between areas site prepared by the TTS Disc Trencher, prescribed burn or without site preparation. \nBoth the seeded and containerized planted areas met the jack pine growth standards set by the Ontario Ministry of Natural Resources. Although planted trees are larger than those obtained by seeding, the present net value for seeded stock is greater than that for planted stock. A complete factorial analysis of the data showed a significant difference in stems \nper hectare and total tree volume for the soil types and site preparation methods. Further investigation of these differences may be important to the forest manager.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".