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Record W6950403959 · doi:10.5281/zenodo.8414642

Taking Stock: The State of UK Fish Populations 2023

2023· article· en· W6950403959 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsnot available
Fundersnot available
KeywordsOverfishingFish stockStock (firearms)FishingQuarter (Canadian coin)SustainabilityStock assessment

Abstract

fetched live from OpenAlex

UK FISH STOCKS ARE IN A DEEPLY TROUBLING STATE. Our report found that over a third of the 104 stocks analysed are being overfished and a quarter have been depleted to critically low sizes, according to the latest scientific assessments. Of the ‘top 10’ stocks on which the UK fishing industry relies, half are overfished or their stock size is at a critically low level. To safeguard marine ecosystems, coastal communities and the future of the fishing industry, the UK government must act urgently to end overfishing and meet its national and international biodiversity commitments. Download the executive summary MORE THAN A THIRD OF STOCKS ARE BEING OVERFISHED, QUARTER ARE AT A CRITICALLY LOW SIZE. Over a third (34%) of the 104 stocks analysed are being overfished and only 45% are sustainably fished. The remainder could not be assessed because of lack of data. As well as fishing pressure, the analysis assessed stock size, revealing that less than half (41%) are deemed to be of a healthy size and a quarter (25%) are in a critical condition. The health of the remaining stocks could not be determined due to lack of data, leaving them at greater risk of overfishing. ZERO CATCHES ARE ADVISED FOR MULTIPLE STOCKS IN CRISIS. This report considers the top five best (sustainably fished and healthy size) and worst (overfished and low size) performing stocks. Compared to the 2020 baseline, four of the five worst performing still have critically low stock sizes and are being overfished. Three of these five worst performing stocks are in such a state of crisis that a total ban on all catches is advised by the International Council for the Exploration of the Sea (ICES). These stocks are Celtic Sea cod, West of Scotland cod and Irish Sea whiting. The five best performing stocks are typically caught in comparatively small quantities and are of relatively low economic value. PROGRESS IS LACKING. The ongoing political decision to set Total Allowable Catches (TACs) higher than scientifically advised continues to lead to overfishing of North East Atlantic stocks. Comparing changes between the baseline and today, for instance, shows that six stocks that were a healthy size in 2020 have now declined to a critical state, and only three stocks have moved from being critically low to healthy since 2020. SUSTAINABLE CATCH LIMITS MEAN HEALTHIER STOCKS. This report confirms that sustainable catch limits lead to healthier fish stocks. For instance, for the five best performing stocks, TACs for 2020-2023 were mainly set in line with ICES scientific advice. However, for four of the five worst performing stocks, TACs were set higher than scientific advice for sustainability. HALF OF THE 10 MOST IMPORTANT STOCKS ARE OVERFISHED OR IN A ‘CRITICAL’ STATE. Of the top 10 stocks landed in greatest volumes by UK vessels, five are being overfished or their population size is critically low. These include North East Atlantic mackerel, North East Atlantic blue whiting, North Sea anglerfish, North Sea cod and Eastern English Channel king scallops. Therefore only half of the top stocks on which the UK fishing industry relies are both of a healthy size and sustainably fished. These stocks are North Sea herring, haddock, whiting, saithe and Nephrops. RECOMMENDATIONS These results show that fisheries management in the UK is far from reaching the ‘gold standard’ that the government is aiming to achieve. Continued exploitation exceeding sustainable limits not only puts fish populations at risk, but also everything that relies on them, including marine ecosystems and the fishing industry itself. It is time for the UK to show political leadership in sustainable fisheries both domestically and in international negotiations on shared stocks. Set catch limits that do not exceed the scientific advice of the International Council for the Exploration of the Sea. Ideally, these catches should remain well below this upper limit to account for wider ecosystem, climate change, discard and bycatch issues. Develop a clear and ambitious strategy to end overfishing, deliver sustainable fisheries for future generations, and meet the precautionary objective, as well as providing a timeframe to achieve it. Fully implement the fisheries act fisheries objectives, including ensuring that all Fisheries Management Plans contain clear measures, targets and a timeframe to achieve the Fisheries Act objectives. Ensure that fishing opportunities for mixed fisheries are consistent with sustainable exploitation of the most depleted stocks. Ensure a high standard of sustainability, transparency and legality of fisheries is met when granting reciprocal access to waters and resources. Phase out non-selective, carbon intensive and destructive fishing practices (especially bottom-towed fishing gear) in all marine protected areas and an inshore zone within three nautical miles of the coast.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.242
Threshold uncertainty score0.482

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0370.014

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.

Opus teacher head0.081
GPT teacher head0.273
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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