Mangrove Ecosystem Biodiversity in Malacca Strait and Its Economic Values to Local Community: A Case Study in Riau Coastline
Bibliographic record
Abstract
The mangrove ecosystem holds a lot of potentials to be utilized by local communities in the Riau Coastline. Therefore, this study was carried out to assess the biodiversity of flora and fauna in the Riau Coastline mangrove ecosystem and its impacts on local communities. The transect was performed to identify soil conditions, distribution, and the dominance of flora species, while field observations and interviews with residents were conducted to determine the presence of fauna and discover the ecosystem’s benefit to the local community's economy. Based on the results, Rhizophora mucronata and Rhizophora apiculata has the highest relative dominance (RDC) and important value index in all observed stations. On the other hand, the fish/water biota species has the highest diversity and have economic that mostly serve as a catch for local fishermen. Ecotourism is also encouraged to boost the community's economy and aid ecological learning for sustainability purposes. The mangrove ecosystem's existence remains sustainable because fisheries are the main commodity, however, logging is less desirable as a source of income.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".