Trends in Industrial and Artisanal Catch Per Effort in West African Fisheries
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Artisanal fisheries are generally assumed to generate a lower fishing effort in comparison to the industrial sector. This study aims to comparing catch, fishing effort, and catch‐per‐unit‐of‐effort (CPUE) for each sector, using kWdays as a metric for fishing effort, and kg/kWdays for CPUE. The study, which covers West Africa (1950–2010), finds that the artisanal sector spends 4.7•10 9 kWdays/year versus 1.3•10 9 kWdays/year by the industrial sector, due to increasing numbers and size of artisanal boats, which in Senegal and Ghana can exceed that of (smaller) industrial vessels. The artisanal total fishing effort increased by 10‐fold between 1950 and 2010, in contrast to a decrease in the industrial effort since the 1990s, which points to the occurrence of Malthusian overfishing, a form of fishing that favors excess labor instead of capital. This analysis finds that the CPUE declined by 1/3 since 1950 driven by a strong decline in the artisanal CPUE, which is 11 times lower than industrial CPUE. This confirms other indicators of decline of fish populations. This study calls for the prioritization of artisanal fisheries, with regard to management and data availability, but also as an important but unregulated sector, which contributes to overexploitation of fish stocks that are vital for communities in West Africa.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it