Influence of browsing cessation on <i>Picea sitchensis</i> radial growth
Bibliographic record
Abstract
Picea sitchensis is an ecological and economical component of North America north temperate rain forest.In Haida Gwaii which is one of the most productive forest land of British Columbia archipelago (Canada), it is an important and a valuable commercial species.The present study aims at precising deer browsing consequences on growth regeneration of Picea sitchensis.Using ring-width series, an empirical model is built which describes browsing impact on radial growth and removal of these pressure.Taking into account deer pressure and browsing upper limit when building predictive height growth models proves valuable for comparing growth pattern of different species under browsing pressure and deducing changes in forest dynamics. Picea sitchensis / radial growth / browsing / modeling / black-tailed deerRésumé -Influence de l'arrêt de l'abroutissement sur la croissance radiale de Picea sitchensis.Picea sitchensis est un composant majeur tant au niveau écologique qu'au niveau économique des forêts pluviales et tempérées de l'Amérique du Nord.Sur l'archipel Haida Gwaii, qui est recouvert par une forêt des plus productive de Colombie Britannique (Canada), c'est une essence à forte valeur commerciale.La présente étude vise à préciser les conséquences de l'abroutissement par le cerf à queue noire sur la croissance des individus au cours de la régénération.Sur la base de séries d'épaisseurs de cernes, un modèle empirique de croissance radiale est construit.Il décrit l'effet de l'abroutissement et de la suppression de celui-ci lorsque les individus parviennent à dépasser la limite supérieure d'abroutissement.La prise en compte de l'impact du cerf sur la croissance radiale et de la limite supérieure d'abroutissement dans l'élaboration des modèles prédictifs de croissance en hauteur s'avère intéressante pour comparer les modèles de croissance de différentes espèces abrouties et en déduire des conséquences sur la dynamique forestière. Picea sitchensis / croissance radiale / abroutissement / modélisation / cerf à queue noire
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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 | 0.000 |
| 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) | 0.001 | 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".