Diet and trophic status of fish landed by tropical artisanal bait fishers, Mida creek Kenya
Bibliographic record
Abstract
Marine overfishing is characterized by trophic cascades, due to selective removal of preferred top carnivores and confronts tropical fisheries managers in the absence of empirical evidence. This study compares the diets and trophic levels of fish landed by bait fishermen at Mida Creek, biosphere reserve, Kenya. Stomach content of fish landed using hook and line, baited with polychaete ( choo ) and hermit crab ( dophe ), and basket traps baited with mangrove whelk ( tondo ), were examined and compared. Results indicate that fish landed, consumed gastropod and fish, hence belong to 2.9 th trophic level. Significant difference in trophic level occurred between gear and bait type. Hooks baited with dophe landed a variety of fish with a higher trophic level, such as Carangidae (TL>3.0), compared to other gears that landed lower trophic levels, such as Gerridae. Observed differences were attributed to gear and bait selectivity and differences in fishing grounds exploited. Absence of large top carnivores from landings is attributed to long-term overfishing pressure in nearshore fishing grounds. Additionally dietary overlap in mangrove dependent and creek fishes, landed by trap and hook fishermen, respectively, presents hitherto unexplored impacts.
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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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".