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Record W4298723410 · doi:10.33915/etd.11197

Summer Habitat Use, Home Range, and Effect of Catch and Release Mortality on the Trophy Potential of Muskellunge, (Esox masquinongy, Mitchill, 1824), in a Southern Reservoir Population

2022· dissertation· en· W4298723410 on OpenAlexaboutno aff
Peter I. Jenkins

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTrophyFisheryGeographyRange (aeronautics)Mark and recaptureHabitatFishingHome rangePopulationEsoxPikeEcologyFish <Actinopterygii>BiologyArchaeologyDemography

Abstract

fetched live from OpenAlex

Research on Muskellunge (Esox masquinongy, Mitchill, 1824) catch-and-release mortality has been historically focused on the Midwest, Great Lakes, and Ontario. In the southern portion of their range, which we consider to be the portion of the species distribution south of the Mason-Dixon Line (~40°N), Muskellunge, may experience significantly warmer temperatures than those in previous studies and anglers have expressed concern about summer catch-and-release mortality. As part of a broader study to quantify catch-and-release summer mortality in the southern range of Muskellunge, we utilized radio telemetry and active tracking to verify individual movement and survival of Muskellunge in Stonewall Jackson Lake, WV. The lake has a 52-inch minimum size limit for Muskellunge, making it effectively catch-and-release except for trophy-sized individuals. We tagged 45 Muskellunge in the spring of 2020 and 47 Muskellunge in the spring of 2021 with radio telemetry transmitters, PIT tags, and an external dart tag for unique identification by anglers. Muskellunge were tracked weekly from June through September and monthly in October, November, March, April, and May. GPS location and water quality parameters were taken at each unique location. We collaborated closely with anglers and Muskies, Inc. to promote cooperation in the study and to provide rewards to anglers catching and reporting tagged fish. Our estimate of angling mortality was based on survival of individuals reported caught by anglers versus survival of fish not reported caught-and-released. In 2020, 10 fish were caught by anglers when the temperatures exceeded 25o C, and mortality was 10 percent. In 2021, 19 fish were caught by anglers when temperatures exceeded 25o C, mortality was 10.5 percent. Twenty-six fish were caught during Spring, Fall, and Winter, and survival was 100%. Individual growth model simulations were used to estimate the effect that catch and release mortality has on trophy potential under different levels of mortality and summer exploitation. Small differences, < 2 % difference in the proportion of the population reaching memorably size, were seen at what we estimate are current values of summer catch and release mortality (Cm = 0.1) and summer exploitation (Se = 0.15). Effects are more pronounced at higher levels of catch and release mortality and exploitation (Se = 0.19; Cm = 0.3). A closed summer season doubles the number of trophy individuals from 20 to 40 individuals (2 and 4% of the 1000 age-1 individuals). Muskellunge oxy-thermal habitat use, home range, and movement was identified from radio telemetry locations.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.238
Teacher spread0.228 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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