Landscape indicators of the success of protected areas on habitat recovery for the Golden Lion Tamarin (<i>Leontopithecus rosalia</i>)
Bibliographic record
Abstract
Since 1974, conservation efforts to protect an endangered species, the Golden Lion Tamarin (GLT), have led to the creation of the first strict nature reserve in Brazil ‒ the Poço das Antas Biological Reserve (REBIO) ‒ and the subsequent creation of the Environmental Protection Area of the Sao Joao River Basin, for sustainable use. This paper assesses the influence of Protected Areas (PA) creation and conservation programs on GLT habitat. Landscape metrics based on aerial photographs taken from three different periods are used to assess habitat conditions for this species through time. We analyzed the availability and potential quality of habitat in the years following the creation of the REBIO, comparing with its buffer zone and population rates correlations. We observed different trends in landscape dynamics between the REBIO, where most of the forest recovery occurred, and its buffer zone, where habitat loss was recorded. In general, the results showed an increase of continuous forest patches. The conservation/regeneration processes in the buffer zone have intensified in recent years. Comparisons over time, especially with respect to forest core areas and large patches, are valuable tools to assess landscape suitability for GLT survival at different spatial scales.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".