Early development of planted spruce and pine after scarification, fertilization and herbicide treatments in New Brunswick
Bibliographic record
Abstract
Scarification, fertilization and herbicide responses were investigated within nine years of planting black, Norway and white spruce, and jack pine seedlings in a clearcut in a mixedwood forest in New Brunswick, Canada. The study was designed as a complete, randomized block split-plot design with three replicates. Tree survival overall was 84%. Only jack pine survival improved significantly, with silvicultural treatment increasing from 51% to 78% with operational and to 82% with intensive herbicide applications, and to 84% after scarification alone. As expected, jack pine had greater early growth than spruce. Herbicide reduced competition and dramatically increased early growth of all four tree species, and scarification generally interacted with herbicide to further increase growth. Mean height at age nine increased with silvicultural treatments from 1.6 m to 4.0 m for jack pine, 1.2 m to 2.8 m for black spruce and 0.8 m to 2.2 m for Norway and white spruce. Foliar NPK nutrient concentrations generally increased after fertilization and herbicide applications, as did soil NPK availability when examined using ion exchange resins. Major plant competitors were trembling and largetooth aspen, red maple, beaked hazel and white birch. Higher competition after treatment at the New Brunswick site under more operational conditions was a key factor in lowering its tree productivity compared with a similar research study with much more aggressive competition control in northern Ontario involving both jack pine and black spruce.Key words: vegetation management, early plantation performance, seedling growth and nutrient uptake, Pinus banksiana, Picea mariana, Picea glauca, Picea abies, intensive silviculture
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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) | 0.000 | 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 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".