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 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 | 0.000 | 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 teacher head, 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".