Fog induced suppressed photosynthetic water demand and foliar water uptake help the tropical cloud forest escape from drought stress
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The importance of fog for the survival and growth of tropical cloud forests is receiving increasing interest in the context of climate change. Current knowledge on this topic is almost entirely based on studies at the species level, which can hardly reflect the response of the whole ecosystem to climate change. We evaluated community-level responses of trees and epiphytes to seasonal drought in Hainan tropical cloud forest ecosystem. We found that fog induced suppressed photosynthetic water demand and foliar water uptake help these forests escape from drought. We infer that reduction in fog due to future climate change may result in high plant mortality in these ecosystems, and artificially simulating fog may help save tropical cloud forests from vanishing worldwide.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it