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Record W4409824618 · doi:10.1029/2024ef004571

Small Commercial Fish Biomass Limits the Catch Potential in the High Seas

2025· article· en· W4409824618 on OpenAlexafffund
Jérôme Guiet, Daniele Bianchi, Kim Scherrer, Ryan Heneghan, Eric D. Galbraith

Bibliographic record

VenueEarth s Future · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsMcGill University
FundersEarth Sciences DivisionCanada Research ChairsNorges ForskningsrådSan Diego Supercomputer Center
KeywordsBiomass (ecology)Environmental scienceFisheryFish <Actinopterygii>OceanographyBiologyGeology

Abstract

fetched live from OpenAlex

Abstract The High Seas, lying beyond the boundaries of nations' Exclusive Economic Zones, cover most of the ocean surface and host half of marine primary production. Yet, a tiny fraction of global wild fish catch comes from the High Seas, despite intensifying industrial fishing efforts. The paradoxically small fish catch could reflect economic barriers to exploiting the High Seas ‐ such as the difficulty and cost of fishing in remote ocean parts ‐ or ecological features resulting in a small biomass of commercial fish (10g–100 kg) relative to primary production. We use the coupled biological‐economic model BOATS to estimate contributing factors, comparing observed catches with simulations where: (a) fishing cost depends on distance from shore and seafloor depth; (b) catchability depends on seafloor depth or vertical habitat extent; (c) regions with micronutrient limitation have reduced biomass production; (d) the trophic transfer of energy from primary production to demersal food webs depends on water depth; and (e) High Seas biomass migrates to coastal regions. The dominant factor is ecological: commercial fish communities receive much primary production in shallow waters but less in deep waters, limiting exploitable biomass in High Seas. Other factors play a secondary role, with migrations having a potentially large but uncertain role, while economic factors have smaller effects. We estimate the High Seas hosted 25 of a global 2.8 0.7 Gt biomass in the early 20th century, changing to 47% of a global 1.5 0.4 Gt of commercial fish biomass during the early 21st century. Our results stress the limited potential of High Seas to provide food through wild capture fisheries.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.012
GPT teacher head0.225
Teacher spread0.213 · 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 teacher head, not a consensus.

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

Citations4
Published2025
Admission routes2
Has abstractyes

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