Bat species composition associated with restinga lagoons from the Paulo César Vinha State Park, Espírito Santo, Brazil
Bibliographic record
Abstract
Restingas are coastal ecosystems associated with the Atlantic Forest. They are threatened by habitat degradation and forest fragmentation due to intense human occupation. Many restingas have coastal lagoons formed by bay sedimentation of bays, the presence of river estuaries, or emerging groundwater. The distance between lagoons and the ocean influences the biotic community in them. This study aimed to compare the diversity (composition, abundance and richness) of bat communities associated with three lagoons within the Paulo Cesar Vinha State Park, Espírito Santo state. Two lagoons (‘Feia’ and ‘Vermelha’ lagoons) are 2 km away from the ocean, while the third (‘Caraís’ lagoon) is just a few meters distant from the ocean. Species composition did not differ among the lagoons. Abundance of Carollia perspicillata and Glossophaga soricina was higher in the ‘Caraís’ lagoon. Abundance of Artibeus lituratus and Platyrrhinus lineatus was higher in the ‘Vermelha’ lagoon. Species with higher abundance in the ‘Vermelha’ are usually associated with urban and disturbed environments. ‘Vermelha’ lagoon is closer to human settlements and this could be a major driver of bat species abundance associated with this lagoon instead of distance from the ocean. These results may be used to guide conservations efforts in the restingas or habitats associated with restingas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".