<i>Betula glandulosa</i> Michx. Response to burning and postfire growth temperature and implications of climate change
Bibliographic record
Abstract
Plants collected from eight fire-prone sites in western and northern Canada were tested in a greenhouse experiment for response to low fire severity and growing temperatures of 14-24°C. The combined data showed that burning interacted with growth temperature during the first 42 days after treatment to significantly reduce sprout height at low temperatures and increase sprout height at the highest temperature. Burning significantly increased sprout height growth at all temperature treatments after 84 days although this effect was most apparent at the highest growth temperature. Burning significantly reduced sprout production after 42 days and had no significant influence on sprout production or aboveground biomass production after 84 days. Separate analysis of individual site data showed two populations with significant fire-stimulated sprout height growth and two other populations with similar, but slightly less significant response. The populations showed no geographic or topographic trend in fire response. The warmer growing conditions of postfire microsites appear to provide this shade intolerant plant with a competitive advantage over other invading pioneer and resprouting species by enhancing fire-stimulated height growth response. Due to its fire ecology, Betula glandulosa populations are expected to expand and thrive in this region under future climate change conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".