Black Spruce Growth and Understory Species Diversity with and without Sheep Laurel
Bibliographic record
Abstract
Growth and understory species diversity of black spruce [ Picea mariana (Miller) B.S.P.] planted in central Newfoundland at contiguous sites with and without dense cover of sheep laurel ( Kalmia angustifolia L.) were compared. Black spruce stem density and volume per hectare were calculated by sampling 10 circular quadrats (50 m 2 ), and the cover of all plant species was determined by sampling 20 quadrats (1 m 2 ) in each site. In addition, 10 randomly sampled planted black spruce samplings from each site were analyzed for stem height, basal diameter, and foliar chemistry. Results showed a significantly lower stem height and basal diameter (65 and 51%, respectively) at the site with dense sheep laurel cover (36%) compared with the site with sparse sheep laurel cover (<1% sheep laurel cover, and henceforth referred to as the non‐sheep laurel site for simplicity). Black spruce grown at the sheep laurel dominated site contained significantly higher quantities of Ca, Al, Fe, and K in the needles than that grown at the non‐sheep laurel site. The sheep laurel dominated site also had a significantly higher mean organic matter depth of 8.3 cm compared with 5.6 cm at the non‐sheep laurel site. Canonical correspondence analysis (CCA) of the species cover data clearly separated the sheep laurel dominated plots from the non‐sheep laurel plots. The sheep laurel dominated site had reduced species richness of vascular plants but increased species richness for lichens compared with the non‐sheep laurel site. Allelopathy associated with phenol‐induced soil nutrient imbalance and nutrient stress is a possible cause for black spruce growth inhibition at the sheep laurel dominated site.
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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 | 0.001 | 0.001 |
| 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".