Designing ecosystems in degraded tropical coastal dunes
Bibliographic record
Abstract
Abstract Coastal dunes are prone to degradation and subsequent destruction by natural and human-induced disturbances. Worldwide, human disturbances have had a great impact on coastal dunes, resulting in loss of important ecosystem services (coastal protection). In the Port of Veracruz, Mexico, harbour expansion completely destroyed the dune area. A 2-km-long 10- to 20-m-high artificial and unstable dune, parallel to the coastline, was left. To revegetate this dune, we used 3 artificially created plant communities in which the dominant species had contrasting growth forms: Opuntia stricta (Cactaceae), Panicum maximum (tall grass), and Paspalum spp. (short grass). We monitored the vegetation and species turnover during 5 y. Plant cover reached almost 100% after only 1 y. Sand stabilization occurred at a faster rate on those locations covered by both grass types, but diversity of growth habits was highest at the Opuntia treatments. From 29 to 37% of the original dune species returned. The rehabilitated commu...
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".