Winter conditions in eastern hemlock and mixed-hardwood deer wintering areas of Vermont
Bibliographic record
Abstract
In regions experiencing harsh winter, eastern hemlock ( Tsuga canadensis (L.) Carrière) is thought to moderate winter conditions and provide cover for white-tailed deer ( Odocoileus virginianus Zimmerman, 1780). In Vermont, USA, eastern hemlock is the dominant tree in many white-tailed deer wintering areas. Hemlock woolly adelgid ( Adelges tsugae Annand; HWA), an insect introduced from Asia, is causing widespread mortality of eastern hemlock. HWA cold-hardiness research and cold-hardiness zone climate models predict that HWA is capable of winter survival in portions of southern Vermont. This study quantifies the effects of eastern hemlock cover on winter temperatures and snow depths and assesses the effect of hemlock dominance on the winter severity values for white-tailed deer and on cold hardiness zone designations. Within site-paired eastern hemlock and hardwood stands, temperatures were recorded at 30 min intervals and snow depths were recorded every 2 weeks in the winters of 2003–2004 and 2004–2005. Extreme temperatures and snow depths were significantly moderated within hemlock stands. In southern Vermont, eastern hemlock mortality caused by HWA will alter these pockets of moderated microclimate, adding additional stress to white-tailed deer. Furthermore, the magnitude of temperature buffering in hemlock stands suggests that HWA may be capable of winter survival farther north than previously estimated.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".