Abrolhos: challenges for the conservation and sustainable development of the area that encompasses the largest marine biodiversity in the southern Atlantic
Bibliographic record
Abstract
The Abrolhos Region, located between the south of Bahia state and the north of Espírito Santo state, harbours the largest known marine biodiversity in the entire South Atlantic. The two main economic activities in the region are fishing and tourism, both clearly dependent on the environment. In this context, social, economic, and environmental aspects are non dissociable and together should be the basis for sustainable development policies in the region. This article presents the most important experiences linking conservation and sustainable development in Abrolhos since the 1990’s. Among those, we highlight the creation of protected areas, notably the Parque Nacional Marinho dos Abrolhos (Abrolhos Marine National Park), created in 1983, and the Corumbau and Canavieiras Marine Extractive Reserves, created in 2000 and 2006 respectively; the successful experience of sustainable use of fishing resources - through implementation of no take zones, among other management actions - in the Corumbau Extractive Reserve; and the social achievements for local communities in the Canavieiras Extractive Reserve, stimulated by the establishment of a network of community organizations. Despite of these positive experiences, the Abrolhos Region still faces great threats, overfishing probably being the most visible. In order to strengthen the conservation actions in the region, the planned initiatives for the future include, among others, a large expansion of the marine protected areas network of the region and the creation of a Marine Conservation Fund to assure the continuity of the main conservation and sustainable development actions in the region.
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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 | 0.001 | 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 | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".