Density, habitat use, and activity patterns of a vulnerable population of the Solitary Tinamou (<i>Tinamus solitarius</i>) in a Brazilian Atlantic Forest fragment
Bibliographic record
Abstract
We present the first estimates of density of the Solitary Tinamou (Tinamus solitarius (Vieillot, 1819)) in the Reserva Natural Vale (RNV), one of the two largest remnants of the Atlantic Rainforest in the state of Espírito Santo, Brazil. We also modeled the spatial distribution and habitat use of the species using occupancy and detectability modeling. We used a line-transect survey to estimate density and abundance and camera traps to estimate habitat use and activity pattern. We conducted the survey within a 13 month period (April 2013 to May 2014). Estimated density was 9 ± 2 individuals/km2 and estimated population size for the entire RNV was 2115 ± 470 individuals. Occupancy was best described by distance to forest edge, distance between trees, poaching intensity, and understory cover. Detectability was affected by distance between trees and poaching intensity. We conclude that in the RNV, the Near Threatened T. solitarius is a diurnal species preferring intact closed-canopy forest but tending to avoid areas near to forest edges or areas under comparatively high intensity of poaching. These results reinforce the importance of RNV as a resource source for T. solitarius reproduction at Brazilian Atlantic forest remnants.
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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 | 0.000 |
| 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".