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Record W2107817664 · doi:10.1139/f01-083

Movement and harvesting mortality of American lobsters (<i>Homarus</i> <i>americanus</i>) tagged inside and outside no-take reserves in Bonavista Bay, Newfoundland

2001· article· en· W2107817664 on OpenAlexfundvenueaboutno aff
Sherrylynn Rowe

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
FundersFisheries and Oceans CanadaParks Canada
KeywordsHomarusAmerican lobsterFisheryBayMarine reserveInvertebrateCrustaceanBiologyGeographyEcologyFishing

Abstract

fetched live from OpenAlex

To determine the potential effectiveness of no-take reserves in sustaining fisheries for American lobster (Homarus americanus), lobster movement and survival were quantified both within and outside of two no-take reserves in Bonavista Bay, Newfoundland, during 1997–1999. Most (58.7%) tagged lobsters were recaptured in the immediate vicinity of their original capture location. Among lobsters that moved, 77.1% traveled less than 1000 m. Lobster movement resulted in some exchange between no-take reserves and nearby harvested areas (8.7% of lobsters recaptured were in an area different from their location of tagging). Overall, little evidence was found for a relationship between lobster movement and sex, size, or time at large. Annual harvesting mortality accounted for up to 71.9% for lobsters eligible for harvest. However, many more lobsters tagged outside of no-take reserves were harvested (11.5–71.9%) than those tagged in no-take reserves (0.0–18.5%), a result of low frequency of movement between these areas. No difference was found between female and male mortality as a result of the fishery. Because the frequency of lobster emigration from reserves was relatively low and harvesting pressure outside of reserves was intense, results suggest that no-take reserves can offer increased survival to lobsters and thereby may provide benefits to 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.236
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

Citations50
Published2001
Admission routes3
Has abstractyes

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