Towards an understanding of the management of pine-lichen woodlands in the Omineca region of British Columbia.
Bibliographic record
Abstract
In the Omineca region of British Columbia, forest companies have traditionally overlooked the use of pine-lichen 'woodlands, primarily because of the low economic value of timber in them.These woodlands are now facing increased harvesting pressure as sources of wood fibre become more valuable.They also provide important winter habitat for northern caribou {Rangifer tarandus Linnaeus) that range in the area.Caribou use pine-lichen stands that are 70 to 140 years old because they provide a source of high value forage.A recent understanding o f the successional trend of pine-lichen woodlands in the area has been developed by Coxson et al. (1999) who noted that pine-lichen woodlands succeed to a feather moss phase beyond 140 years of age.This thesis examines the functional aspects of forest characteristics as they relate to the succession process and the forest management of these stands.The characteristics of the microclimate at the forest floor strongly influence which plants can exist there.Liehens predominate when the mieroclimate precludes the development of pleurocarpous mosses and vaseular plants.This relationship was assessed by evaluating how stand strueture influeneed irradiance on the forest floor.Stand architecture variables (basal area, volume and biomass) were evaluated and related to leaf area index values.Plots with a component of feather moss had higher values for leaf area index and all stand characterization variables compared to those plots without it.Organic accumulations were also found to be higher on microsites where feather moss was present.The evaluation of stand characterization variables provided guidance for using a geographic information system to identify pine-lichen woodlands on the landscape.A relatively high level of success (68% accuracy) was attained by querying forest cover and terrain mapping
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".