Assessing the relative quality of old-growth forest: An example from the Robson Valley, British Columbia
Bibliographic record
Abstract
Forest planners in British Columbia are required to identify forests suitable for designation as Old-Growth Management Areas. However, the tools currently in use lack the ability to identify appropriate stands. In 2000, we examined the ecological attributes of older forest in the Robson Valley Forest District in eastcentral British Columbia. The purpose was to determine the old-growth habitat value of stands of different age classes and to develop field procedures for assessing the relative old-growth quality of stands. We examined the relationships between stand age (both photo-interpreted and field-estimated) and attributes normally associated with old forest; in particular, we evaluated the relationship between stand age and functionally important tree and coarse woody debris configurations. Results from a representative portion of our study identified several attributes that were generally more abundant in older stands. The results also demonstrated that stands less than 140 years old have poorly developed old-forest habitat attributes, whereas these attributes are consistently well developed in stands greater than 140 years old. Also, the significance of these same attributes increases only slightly with increasing stand age. We created a rank scoring system to help forestry practitioners assess old-forest stands—particularly in the Interior Cedar-Hemlock (ICH) biogeoclimatic zone—in terms of their value as old-growth wildlife habitat.
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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 | 0.001 | 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".