The role of environmental stressors on reproduction, seed morphology, and germination: a case study of northern white cedar, <i>Thuja occidentalis</i> L.
Bibliographic record
Abstract
Changes in resource allocation from parent to offspring can have effects on the dispersal, recruitment, and survival of progeny, with impacts sometimes extending across generations. In plants, environmental stressors not only impact the growth of mature individuals but can also alter the provisioning of resources to developing seeds, further extending to embryo development and reproduction. In this study, we compare seed biomass, morphology, seed set, and germination among two natural populations and three additional seed sources of Thuja occidentalis L. (northern white cedar), a fen-dependent species in the Chicago, Illinois region. Chicago Junior School and Trout Park were once contiguous populations, now bisected by the I-90 toll road, and are heavily impacted by human disturbance and external pollutants. Variation was observed in seed morphology, cone biomass, and seed set among study sites with Trout Park trees producing fewer seeds and smaller cones than any other site in our study. Despite morphological differences, germination was low overall except for commercial seed. Differences among the two neighboring sites implicate that Trout Park is disproportionately affected by environmental factors (e.g., road salts and altered hydrology) compared to Chicago Junior School, potentially impacting the growth and recruitment of T. occidentalis in these urban populations.
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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 | 0.001 | 0.001 |
| 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 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".