Black spruce (Picea mariana) as an indicator species of the effects of forestry on treed bos, southwest Nova Scotia
Bibliographic record
Abstract
The objective of this study was to establish whether black spruce (Picea mariana) could serve as an indicator of the effects of adjacent forestry on treed bogs in the heavily forested region of southwest Nova Scotia. The study contributes to the need to amend the province's forestry regulations to protect treed bog ecosystems. A dendroecological analysis of the radial growth trends of black spruce trees was conducted in three "pristine" and three "forestry proximal" treed bogs. Radial growth trends were found to vary between these two environments, and it was determined that these variations were likely tied to differing hydrological and precipitation regimes. Due to the temporal overlapping of forestry initiation at the forestry proximal study sites as well as the unexpectedly short interval of return to pristine radial growth trends (as short as 10 to 15 years), however, it remains difficult to discern the actual water regime changes resulting from effects of nearby forestry activity. The methodological decision to sample in the transition zone between true bog and poor fen may also have contributed to a weakened water regime signal. In the future, dendrohydrological studies of the black spruce species in its preferred habitat (i.e., only in true bog areas) may be more effective. Further research is needed to highlight the exact role that the altered hydrological regimes is having on the surrounding forest.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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 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".