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Record W1586897434 · doi:10.1080/03632415.2015.1038382

Muskellunge and Northern Pike Ecology and Management: Important Issues and Research Needs

2015· article· en· W1586897434 on OpenAlexaff
Derek P. Crane, Loren M. Miller, James S. Diana, John M. Casselman, John M. Farrell, Kevin L. Kapuscinski, Joe K. Nohner

Bibliographic record

VenueFisheries · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsPikeEsoxHabitatEcologyFisheryPopulationGeographyFisheries managementRange (aeronautics)BiologyFish <Actinopterygii>Engineering

Abstract

fetched live from OpenAlex

Abstract New research techniques and changing Muskellunge Esox masquinongy and Northern Pike E. lucius fisheries have contributed to paradigm shifts in the science and management of these species. A symposium on Muskellunge and Northern Pike biology, ecology and management was held at the American Fisheries Society Annual Meeting in Little Rock, Arkansas, and a panel discussion following the symposium identified several research and management priorities, including spawning habitat identification, habitat and population restoration, genetics, and selective mortality and exploitation. Future Muskellunge and Northern Pike research should focus on quantifying egg and age-0 survival based on habitat characteristics, rigorously evaluating habitat restoration efforts using statistically sound study designs, describing range-wide genetic structure of populations, and developing a better understanding of how selective mortality and exploitation can alter population size structure, sex ratios, and life history characteristics. Information and outcomes from the proposed research and management priorities will be critical for conserving and restoring self-sustaining populations of Muskellunge and Northern Pike. Las nuevas técnicas de investigación y los cambios en las pesquerías de los lucios muskallonga, Esox masquinongy y europeo, E. lucius, han contribuido a modificar paradigmas sobre la ciencia y manejo de estas especies. Se llevó a cabo un simposio sobre biología, ecología y manejo de los lucios muskallonga y europeo en la reunión anual de la Sociedad Americana de Pesquerías, en Little Rock, Arkansas, y en un panel de discusión organizado después del simposio se identificaron diversas prioridades de investigación y manejo que incluyen identificación de hábitats de desove, restauración de hábitats y de poblaciones, genética, mortalidad selectiva y explotación. En el futuro, la investigación sobre los lucios muskallonga y europeo se debe enfocar en cuantificar la supervivencia a nivel de huevos y de edad O; sobre la base de las características del hábitat, evaluar rigurosamente los esfuerzos de restauración de hábitat mediante diseño de sondeos estadísticos, descripción amplia de la estructuración genética de las poblaciones y desarrollar un mejor entendimiento acerca de cómo la mortalidad selectiva y la explotación pueden alterar la estructura de tallas, proporción de sexos y características de la historia de vida de estas especies. Los resultados y la información que se genere tanto de la investigación propuesta como de las prioridades de manejo, serán críticos para la conservación y restauración de las poblaciones auto sostenibles de los lucios muskallonga y europeo.

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)0.014
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0020.003
Scholarly communication0.0050.007
Open science0.0020.003
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.032
GPT teacher head0.269
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations52
Published2015
Admission routes1
Has abstractyes

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