Abstract: Effects of forestry on the radial growth trends of treed bogs in southwestern Nova Scotia
Bibliographic record
Abstract
Most Nova Scotian wetlands are afforded protection from the effects of forestry activity and other adjacent habitat disturbances through the preservation of 20+ m buffer zones of mostly intact forest along/around watercourses. Wetlands which do not contain watercourses, however, have been excluded from buffer regulations and timber and/or peat harvesting are permitted within them. Treed bogs (a relatively dry wetland) are an example of one of these unprotected habitats. This study contributes to an evaluation of the need to amend Nova Scotia’s forestry and buffer regulations in order to protect these treed bog ecosystems. A dendrochronological analysis of the radial growth trends of both black spruce (Picea mariana) and larch (Larix laricina) was conducted at six treed bog ecosystems in southwestern Nova Scotia. Three pristine bogs and three bogs in close proximity to forestry activity were sampled. The role of these trees as indicator species of treed bog ecosystem health is being explored in an attempt to determine whether adjacent forestry activity has negatively affected treed bog ecosystems, and if so, to what extent. Preliminary results indicate that changes in tree radial growth is probably as a result of changing water availability associated with forestry activity. Ultimately, the aim of this study is to emphasize the need to conserve treed bogs in the highly forested southwestern Nova Scotia region.
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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 | 0.000 | 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) | 0.001 | 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".