Polar Auxin Transport: Understanding the Effects of Temperature and Precipitation on Polar Auxin Transport in Polytrichum Ohioense Could Develop a Moss into a Climate Change Bioindicator
Bibliographic record
Abstract
In an attempt to better understand polar auxin transport in the sporophytes of Polytrichum ohioense, a 5.3 fold increase in basipetal and acropetal transport was observed when temperature and precipitation varied significantly throughout the growing seasons. Wild plants were transferred into cultures and allowed to develop in temperatures that represented a “Warm Summer, Cold Winter” condition. Spores were grown on soil and watered to represent precipitation of a “Wet Fall, Winter” year. Traditional polar auxin transport assays were done on all sporophytes to calculate the amount of auxin transported in a polar fashion. The amount of water available to the developing sporophyte appears to be critical to polar auxin transport physiology; the temperature has less of an effect. This study also suggests that as climate change occurs, moss will be unequally affected by the environmental factors. An additional benefit of this study suggests that polar auxin transport assays may be developed to monitor climatic change. Keywords: Polar auxin transport, Bryophytes, Polytrichum ohioense, climate change, monitoring
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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 | 0.001 |
| 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".