Spatial Distribution of Biodiversity Risk Index in Truong Sa Islands Marine Zone, Vietnam
Bibliographic record
Abstract
Abstract The biodiversity of marine ecosystems is the foundation for the sustainable development of several marine economic sectors based on natural resources such as tourism, fisheries, and marine medicine in marine countries, including Vietnam. Truong Sa Islands (TSIs) is an offshore archipelago located in the southeast of Vietnam, a significant marine zone because of its rich biological resources and diversity of marine life. The study aimed to clarify the spatial distribution of biodiversity in the area using the International Union for Conservation of Nature (IUCN) Red List, from which a total of 839 species of six groups, including seagrasses, cone snails, reptiles, marine fish, lobsters, and mammals, were extracted. The biodiversity risk index (BRI) map revealed priority areas for conservation. It was calculated by averaging the conservation status of the species on a GIS-based cell-by-cell basis. The results showed the most species-rich area accounts for more than 45% of the total area and ranges from a depth of 400–1050 m, and the most threatened species are located in the coral reef zone. Analytical and comparative results between the six study plots illustrated that Thuyen Chai’s area (Barque Canada Reef) has the highest BRI, followed by Toc Tan (Alison Reef) and Nam Yet (Namyit). Based on the BRI, figuring out the order of the sea is an important step in making plans and strategies for marine economic development and protecting marine biodiversity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".