Population-level drought responses in northern oak fern (<i>Gymnocarpium dryopteris</i>)
Bibliographic record
Abstract
Ferns serve as an invaluable indicator species for soil moisture and distribution patterns of other plant groups. Northern oak fern ( Gymnocarpium dryopteris), a common fern in the interior of British Columbia, Canada, has received little research attention despite its prevalent use in the forest resource sector as an indicator species for moisture. To understand the impact of water deficits on oak fern, we sampled in two different ecoregions in interior British Columbia and assessed acclimation to drought, by measuring the size and abundance of stomata in each region. We then subjected the ferns to a period of drought and recorded the response to stress by measuring the photosynthetic efficiency of the oak fern populations over time. Differences existed in the morphology of oak fern populations; ferns from the wetter ecoregion possessed more, larger stomata than those from the drier ecoregion. Oak ferns from both regional populations were significantly reliant on moisture present in the soil and air to maintain photosynthetic efficiency, and <20% of the population remained healthy after the 18-day drought period. The stress response of both oak fern populations followed a similar pattern; differences in stomate size and abundance did not result in differences in drought tolerance.
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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".