Changing our mental model from growing volume to producing value: The case of uneven-aged hardwood management
Bibliographic record
Abstract
The selection system is a common management system in uneven-aged tolerant hardwoods stands in Crown forests of eastern Canada. This silvicultural system aims to produce a sustained yield of products and services at the stand level, using frequent partial cuttings that harvest the mature and valuable portion of the forest, while tending the rest of the stand to increase its productivity and value for future cuttings. Current practices involve the use of empirical partial cutting guides to decide the number of trees to both harvest and maintain at each cutting cycle, typically to maximize longterm sawlog and veneer production. This paper demonstrates that by replacing this objective function with the maximization of the net value of the harvest for the whole value chain by using a simple mathematical optimization model, forest management can be greatly improved in terms of profitability. Nevertheless, further developments are needed for improving forest management optimization models in order to better balance short-term profitability and long-term ecological, economic and societal objectives. Key words: Selection system, hardwoods, uneven-aged silviculture, optimization, economic, value chain, profitability, steering treatment
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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 | 0.000 | 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 | 0.001 | 0.001 |
| 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".