The effect of growing season length and water level fluctuations on growth and survival of two rare and at risk Atlantic Coastal Plain flora species, <i>Coreopsis rosea</i> and <i>Hydrocotyle umbellata</i>
Bibliographic record
Abstract
This study examined variables that may be limiting rare species of Nova Scotia’s Coastal Plain flora to determine why they have not expanded to other lakeshores, including dam reservoirs with appropriate slope and substrate, and to determine how reservoir management could improve habitat quality. A transplant experiment was conducted to examine whether variables related to growing season (establishment time, position on shoreline, and water-level fluctuation) were limiting two at-risk species, Coreopsis rosea Nutt. (Pink Tickseed) and Hydrocotyle umbellata L. (Water-pennywort). Establishment time as well as timing and duration of flooding were found to limit both species. Unseasonable flooding and later establishment had similar effects in reducing biomass. The contribution of time spent above water to the final biomass was 2–3.4 times greater than time spent below water. At reservoirs, earlier spring draw down would reduce flood stress, while opening the dam during periods of high precipitation would avoid plant damage due to unseasonable flooding. Exposure of the lower shoreline for 49–71 d or greater would benefit H. umbellata, and exposure of the upper shoreline for 100–112 d or greater would benefit C. rosea. To conserve current habitat, we must also minimize disturbances to watersheds affecting natural fluctuations of occupied lakes.
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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".