The distribution and naturalness of peatland on Terceira Island (Azores): instruments to define priority areas for conservation and restoration
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The study reported here used spatial analysis to assess the effectiveness of the legal nature protection framework in supporting the conservation of peatlands on Terceira Island (Azores archipelago, Portugal) and identify potential improvements. Terceira has 3011 ha of peatland, of which 44 % is forested. Bogs and fens account for 14 % and 3 % of this area, respectively, while 39 % has been classified as degraded peatland. Overall, 46 % of the peatland is still in natural condition and 80 % of this is concentrated in two ‘wild’ areas known as Santa Barbara and Pico Alto, which are separated by an intervening expanse of land with mainly disturbed mires. Most of the peatland lies within a Natural Park (82 %) and a Special Conservation Area (SCA; 67 %). The wildest peatland (70 %) is in Ramsar and public forestry areas. A management zonation to define priority areas for protection and restoration is proposed. This includes three reserve areas and six buffer areas, in which controlled management to inhibit potential direct impacts on the wildest peatland should be implemented. This model includes a corridor between the two major reserves to promote connectivity. Nowadays the local extent of peatland is less than the potential area. Moreover, an assessment of peatland condition indicates a need for development of strategies to conserve wild peatland and implement restoration to improve the naturalness of disturbed peatland, as well as the ecological connectivity between the two major mire-rich natural protected areas on the island.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it