Population dynamic and Species diversity of wintering waterbirds in mangroves wetland (Persian Gulf) in 1983 and 2013
Bibliographic record
Abstract
Mangrove wetlands are one of the most biologically diverse ecosystems in the world, providing shelter and feeding sites for many bird species. With continuing degradation and destruction of mangroves, there is a critical need to understand the biodiversity of the mangrove ecosystems. Birds are bio-indicators of habitat quality and are sensitive to any subtle changes takes place in the mangrove wetland. Monitoring of species diversity is a useful technique for assessing damage to the system and maintenance of good species diversity is a positive management objective. This research was conducted in mangrove wetland (Hara Protected Area, Biosphere Reserve and Ramsar site) (30°20′26″ N 48°55′53″ E) in Khore Khoran Creek at Qeshm island coast on 28 January 1983 and 2013. The area of the mangrove wetland is about 22000 hectare. The aim of this study was to campier the present population status and species diversity of wintering water birds with population and species diversity in 1983 (30 years ago) in H.P.A. A total of 50 species of birds representing 7 orders, 18 family and 33 genera were recorded in H.P.A. Of the recorded species, 14 % belonged Terrestrial, 39 % Wadere, 14 % to long legged wading and 33 % to swimmer water birds. Avifauna of the order Charadriformes is dominant in mangroves and is represented by 7 families, followed by order Ciconiiformes and Falconiformes with 3 families each.
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 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 | 0.000 | 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) | 0.001 | 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".