Western larch reforestation in British Columbia : opportunity and guidance for expansion by assisted migration to southern interior ecosystems of B.C.
Bibliographic record
Abstract
Western larch (Larix occidentalis Nutt.) is a vigorous tree species in interior (Kootenay) ecosystems of British Columbia. Lodgepole pine (Pinus contorta) has been extensively planted as monocultures across the BC interior for many decades and concerns over future forest health and productivity have arisen as many of these lodgepole pine stands have succumb to many damaging agents past “free to grow” status (Mather, et al. 2010). New forest management policies that include western larch reforestation and expansion through assisted migration should be developed in order to diversify our species selection for reforestation in the BC interior. Western larch has many advantages over lodgepole pine which include higher productivity on certain sites and greater wood qualities that fit in well with diversifying our ecosystems and increasing the value of our future timber supply. The Kamloops Future Forest Initiative and the Wood First Initiative are two projects that can streamline the growth and expansion of western larch reforestation into interior ecosystems and forest management plans. There are numerous examples of western larch growing well on sites around Merritt and Kamloops BC which demonstrate the species can adapt well to certain sites out of its natural range. In this paper I discuss why foresters and forest policy makers should enable flexibility in stocking standards for western larch and discuss issues of increasing western larch reforestation in the BC interior.
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".