Diversity, Distribution, Ecology and Conservation Status of the Family Syngnathidae in Sub-Saharan Africa and Adjacent Islands
Bibliographic record
Abstract
The charismatic Syngnathidae occur in coastal and freshwater environments across the globe and play an important role by acting as flagship species for conservation. Despite this status, many syngnathids are threatened by a range of anthropogenic impacts including exploitation and habitat destruction. In addition, the cryptic nature and generally low population densities of syngnathids make research and related conservation action difficult, which can lead to data gaps. The gap in knowledge of the biology and status of syngnathids is especially acute within Africa. This review provides the first synthesis of syngnathid diversity, biogeography, ecology, threats and conservation in sub-Saharan Africa and adjacent islands. Research focus and effort are biased towards the southeast coast of Africa, with limited research specifically on syngnathids. A total of 63 species of syngnathids in 26 genera are recorded in Africa, with higher syngnathid diversity on the east coast of Africa. Ecological research focused on population trends and diversity is identified as priorities, specifically for those species listed as Data Deficient on the IUCN Red List. Other priorities identified include research on the extent and impact of illegal catch and trade and the development of local capacity and expertise. These findings provide an important resource that can be used for the future conservation of this iconic group of fishes.
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 | 0.000 | 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 | 0.001 |
| 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 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".