Inventory of non-timber forest product plant and fungal species in the Robson Valley
Bibliographic record
Abstract
Increasing interest in non-timber forest products (NTFPs) has led to their greater recognition in sustainable forest management planning. This is evident in local resource management plans for the Robson Valley in east-central British Columbia, where public input shows strong support for the sustainable development of NTFPs harvesting. However, information needed to develop sustainable management guidelines for NTFPss is currently lacking. We, therefore, undertook an inventory of non-timber forest product plant and fungal species in the Robson Valley.The distribution and abundance of NTFPs plant species was determined by ecosystem types as described by the Biogeoclimatic Ecosystem Classification system used in British Columbia. Species with a relatively high abundance and commercial potential included the valuable medicinal plant Devil�s club (Oplopanax horridus), berry-producing species such as black huckleberry (Vaccinium membranaceum), and the edible ostrich fern (Matteuccia struthiopteris). Plants used for floral greenery that are relatively abundant in certain ecosystem types included falsebox (Paxistima myrsinites), tall Oregon-grape (Mahonia aquifolium), pearly everlasting (Anaphalis margaritacea), and conifer boughs, especially from western redcedar (Thuja plicata). We identified a number of fungal species noted for their food, medicinal, wildcrafting, industrial, or traditional uses. Among the important food mushrooms we recorded in the Robson Valley were pine mushroom (Tricholoma magnivelare), hedgehog mushroom (Hydnum repandum), and black morel (Morchella elata).Several information gaps were identified. We recommend that future research focus on gathering detailed information about selected NTFPs species. Information describing habitats, growth requirements, production levels, and response to harvesting is needed to develop sustainable management strategies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".