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Record W7014697619

Population dynamics of an exploited population of Orconectes virilis in Northwestern Ontario / by George E. Morgan.

2017· other· en· W7014697619 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFishingPopulationJuvenileCrayfishDominance (genetics)Population growthStock (firearms)Stock assessment
DOInot available

Abstract

fetched live from OpenAlex

Exploitation of northern stocks of the crayfish Orconectes
\nvirilis (Hagen) produced significant alterations in several
\npopulation parameters. High fishing efforts increased per capita
\nfecundity, young-of-year (YOY) production, and age- and sex-specific
\ngrowth, and altered mortality patterns. Climatic variation, measured as arbitrarily defined weather variables, did not influence life history parameters in the exploited population. However, short-term temperature fluctuations affected YOY production and future reproductive potential in the control lake. The control population in Shallow Lake exhibited strong
\ndensity dependence in regulating both mortality and growth rates
\nof pre-recruit age classes. Behavioural dominance by maturing
\nmales (age I-to-age II) effectively controlled juvenile life
\nhistory parameters , i.e., egg-to-YOY and YOY-to-age I mortality
\nand growth. As a result a dynamic oscillatory relationship
\nexisted between annual age I-to-age II male growth and female
\nyear-class strength, which in turn correlated with cohort egg
\nproduction. Exploitation of Dock Lake's population broke down
\nthis process so that year-class strength directly correlated with
\nannual growth but cohort egg production varied independently. The
\namount harvested, using passive fishing gear, proportionately
\nincreased with increases in nominal effort. However interactions
\nbetween sampling intensity, duration of harvest and behavioural
\nresponses resulted in a upper limit to the percent of the
\nexploitable stock that that could be removed by this fishery.
\nRlteration of life history parameters contributed to population
\nresilience and stability as fishing pressure increased.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.021
GPT teacher head0.239
Teacher spread0.218 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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