Survival and growth of eastern larch, balsam fir, and black spruce six years after winter browning in northeastern Ontario, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In spring 2007, young conifers suffered extensive needle and bud injury near Hearst, Kapuskasing, and Cochrane in northeastern Ontario, Canada. Analysis of weather data revealed that the damage was likely caused by earlier than normal loss of cold hardiness during higher than normal temperatures in late April and early May. The dehardened trees were damaged in the cold days that followed. We report the survival and growth of eastern larch (Larix laricina), balsam fir (Abies balsamea), and black spruce (Picea mariana) in the affected area based on field assessments and stem analysis of affected trees following the event. Total survival through six growing seasons following damage was 98% in eastern larch but only about 70% in balsam fir and black spruce. The effect of the damage on tree growth was greater and longer lasting for diameter than height. Both survival and growth reductions were associated with high levels of mature needle loss and bud damage. Implications of these findings for forest management are discussed in light of expected climate change.
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.
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 | 0.000 | 0.000 |
| 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 it