Combined Effects of Temperature and Carbon Dioxide on Plant Growth and Subsequent Seed Germinability of <i>Silene noctiflora</i>
Bibliographic record
Abstract
Effects of global climate change on invasive alien species of plants and on the resulting progeny have received little attention. We examined the combined effects of temperature and carbon dioxide (CO2) on plant growth and physiological characteristics, reproductive yield components, and subsequent germination patterns of fresh‐ and dry‐stored seeds of night‐flowering catchfly (Silene noctiflora). Plants were grown under two temperature regimes (22°/18°C and 28°/24°C) at ambient (370 μmol mol−1) and elevated (740 μmol mol−1) CO2 concentrations in controlled‐environment growth chambers. Higher temperature reduced plant height; average individual leaf area; capsule length, width, and mass; sound seed number; and mass per capsule but increased specific leaf mass. Elevated CO2 increased single sound seed mass. Higher temperature decreased both percentage and rate of germination, whereas elevated CO2 decreased germination percentage but increased germination rate. Seed germination increased with storage duration. Higher temperature increased transpiration. However, elevated CO2 decreased transpiration but increased net CO2 assimilation and water use efficiency. Elevated CO2 increased chlorophyll b but decreased chlorophyll a:b ratio. Ethylene production was enhanced by increased temperature. We conclude that despite the negative effects of higher temperature on some plant characteristics, S. noctiflora has the potential to thrive under conditions of climate change.
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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".