The global rise of crustacean fisheries
Bibliographic record
Abstract
Globally, wild decapod crustacean fisheries are growing faster than fisheries of any other major group, yet little attention has been given to the benefits, costs, and risks of this shift. We examined more than 60 years of global fisheries landings data to evaluate the socioeconomic and ecological implications of the compositional change in global fisheries, and propose that direct and indirect anthropogenic alterations and enhancements to ecosystems continue to benefit crustaceans. Crustaceans are among the most valuable seafood, but provide low nutritional yields and drive 94% of the projected increase of global fishery carbon emissions, due to low capture efficiency. Unequivocally, the increasing global demand for luxury seafood comes with serious environmental costs, but also appears to offer lucrative fishing opportunities. The potential for more prosperous fisheries carries unevaluated risks, highlighting the need for a nuanced perspective on global fisheries trade‐offs. Addressing this unique suite of trade‐offs will require substantive changes in both science and management.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".