A Decontamination Approach Altered the Gymnanthes klotzschiana Müll. Arg. Vessel Anatomy in Southern Brazil
Bibliographic record
Abstract
Here we conducted an anatomical analysis of vessel elements from woody tissues of Gymnanthes klotzschiana individuals in a remnant of Alluvial Mixed Rain Forest in southern Brazil. This tree is among the species with the highest abundance within these forests. We sampled an area adjacent to a meadow highly impacted by an oil spill of four million liters from Petróleo Brasileiro S. A. The study was aimed at uncovering possible anatomical and structural changes in the wood of G. klotzschiana after an attempt at the decontamination of the area, which was performed by its flooding and extracting the oil that was deposited on the soil surface. Therefore, our sampling was performed in two environments with distinct water table characteristics: (1) with temporary water saturation, and (2) with permanent saturation. Radial samples were collected from an individual from both environments and analyzed through optical microscopy and dendroecological variables, which allowed us to reconstruct the wood development from 1997 to 2010. Our results demonstrated that no significant anatomic changes occurred in the condition with temporary saturation. Conversely, the environment with permanent saturation led to an increase in the frequency of the vessel elements, as a strategy to acclimate to the altered environment. Moreover, it altered the grouping pattern of the vessels, with a gradual increase in the percentage of solitary vessels, which is consistent with environments with more humidity. These results drive our attention for developing more efficient strategies to overcoming natural disasters and diminishing their impact on local biological communities.
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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".