Tree Assisted Migration in a Browsed Landscape
Bibliographic record
Abstract
Assisted migration is a promising silvicultural tool that could promote the sustainability of forest ecosystems and ecological services in the context of climate change.Assisted migration plantations, however, could be at a high risk of failure when mammalian herbivores (e.g., deer and hares) are abundant.Here, we developed an approach based on chemical content to predict the susceptibility to browsing of translocated seedlings.First, we determined which chemical compounds would be appropriate proxies of susceptibility.Second, we analyzed the chemical content of eight North American species selected for an assisted migration plantation and determined the relative susceptibility to herbivores of species and geographic provenances within species.We compared the ranking to browsing reported in the literature.For six species out of eight, our susceptibility rankings were congruent with information available in the literature.With this study, we provide a tool that could guide managers in species and provenance choices for assisted migration when contending with a high risk of browsing.
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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".