Optimal Rotation of a Forest When Accounting for its Capacity to Reduce Greenhouse Gases (La Gestion Optimale D’une Forêt Exploitée Pour Son Potentiel de Diminution des Gaz à Effet de Serre et Son Bois)
Bibliographic record
Abstract
This papers aims to determine the optimal rotation and the best alternative use of a forest stand when wood price is assumed to follow a Geometrical Brownian Motion and the externality generated by the forest capacity to reduce the level of carbon dioxide in the air is adequately taken into account. It is shown that the decision-making of cutting the trees depends heavily of the use which will be made of the harvested wood. The results of the model indicate what follows: The socially optimal rotation is higher than the optimal age of cut from the point of view of a private owner if stored carbon is released at the time of (or after) harvest; Rotation is shorter if carbon remains locked at the time of (and after) the cut than in the case of its release; The forestry becomes socially more profitable; one passes to the alternative use only for high site values associated with weak stump age prices achievements. Cet article cherche a determiner les âges optimaux de coupe d’un peuplement forestier lorsque le prix du bois suit, par hypothese, un processus de mouvement brownien geometrique et l’externalite qu’engendre une foret, par sa capacite a reduire le niveau du dioxyde de carbone de l’air et donc l’effet de serre, est adequatement prise en compte. L’utilisation qui sera faite du bois recolte se revele determinante dans la prise de decision de coupe des arbres. Les resultats du modele indiquent ce qui suit: l’âge de coupe socialement optimal est plus eleve que l’âge optimal de coupe du point de vue d’un proprietaire prive si le carbone emmagasine est libere au moment de la recolte; la rotation est plus courte si le carbone reste verrouille lors de la coupe que dans le cas de sa liberation; l’activite forestiere devient socialement plus rentable; on ne passe a l’usage alternatif que pour des valeurs elevees du terrain (consacre a un autre usage) associees a de faibles realisations du prix du bois.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".