Reptile diversity in the Duas Bocas Biological Reserve, Espírito Santo, southeastern Brazil
Bibliographic record
Abstract
The lack of information on the occurrence of species in a region limits the understanding of the composition and structure of the local community and, consequently, restricts the proposition of effective measures for species conservation. In this study, we researched the reptiles in the Duas Bocas Biological Reserve (DBBR), Espírito Santo, southeastern Brazil. We analyzed the parameters of the local community, such as richness, composition, and abundance of species. We conducted samplings from August 2017 to January 2019, through active search. We performed the samplings in nine standard plots of 250 meters in length. All individuals located in the plots or occasionally on the trails were registered. To evaluate sample effort to characterize the reptile community, we performed an accumulation curve of species, and to update the DBBR reptile list, we used as secondary data specimens deposited in collections and previously published studies. Considering primary and secondary data, we recorded 38 species, one chelonia, 13 lizards, and 24 snakes. Our study showed a richness of 15 additional species to the previous list of reptiles, increasing by about 40% the known richness to the area. We concluded that the DBBR holds a high richness of reptile species, representing 12% of the richness of reptiles of the Atlantic Forest and with a considerable number of endemic species in this biome. This suggests that the DBBR is an important forest fragment constituting a reservoir of the biodiversity of the reptiles of the Atlantic Forest.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".