A comparative study of temporal variation of two epiphytic bryophytes in a central Amazonian white-sand forest, Brazil
Bibliographic record
Abstract
ABSTRACT We evaluated the local population dynamic of two epiphytic species, Syrrhopodon helicophyllus and Thysananthus amazonicus, over six years from 2014-2020, both before and after the fire event which occurred in the white-sand forest (Campinarana) located in Central Amazon. We did not observed an overall differences on colony abundance on the host tree over time before the fire event in 2019. However, colony abundances shifts along the vertical gradient towards mesic microenvironment which allow to persist during the El Niño event of 2015-2016, and recovered in the following years. Moreover, we observed that colonies of both bryophyte speciesdrastically declined after the fire event in 2019, leading to a complete loss of the species in some of the host tree studied. The direct impacts of climate change with an increased fire and drought events in Central Amazon forests will result in the loss of epiphyte local biodiversity, especially in the unique isolated white-sand forests.
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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 | 0.001 | 0.001 |
| 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".