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Record W3215307507

What northern pike (Esox lucius) stomach contents reveal about post-management community dynamics in Lac La Biche, Alberta

2021· article· en· W3215307507 on OpenAlexaffabout
Jennifer E. Roth

Bibliographic record

VenueStudent Research Proceedings · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsEsoxPikeStockingPredationPerchFisheryBiologyPredatorAbundance (ecology)InvertebrateEcologyCompetition (biology)PopulationFish <Actinopterygii>Demography
DOInot available

Abstract

fetched live from OpenAlex

Predator density within freshwater lakes is often manipulated to restore commercially important species; however, such management may inadvertently result in dietary shifts of existing predator populations. The 2005 Fisheries Restoration Program in Lac La Biche, Alberta, was established to recover walleye (Sander vitreus) populations through both bird culls and intensive stocking. Although walleye abundance increased dramatically, other dominant piscivores' responses to management actions, namely the Northern pike (Esox lucius), were less clear. To avoid high interspecific competition for prey fish, pike may shift their diets to incorporate a greater abundance of invertebrates. However, the overall importance of invertivory is community-dependent and remains understudied. To elucidate how pike feeding and community interactions have changed in response to management in Lac La Biche, a stomach content analysis was performed on 121 pike stomachs sampled during Fall Walleye Index Netting Surveys between 2009 and 2013. Piscivory was the most common feeding style (34.1% ±4.7% SE), with yellow perch (Perca flavescens) and coregonids the most common prey. Invertivory and mixed-feeding remained relatively uncommon and stable (4.6% ±2.1% SE and 16.3% ±2.6% SE, respectively). Although invertebrates represent a valuable supplement, pure invertivory as a specialization remains uncommon in this population during the sampled years. Department: Biology Faculty Mentors: Dr. David Locky and Dr. Mrinal Das

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)0.003
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 score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.005
Research integrity0.0000.001
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 head0.039
GPT teacher head0.349
Teacher spread0.310 · 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
Published2021
Admission routes2
Has abstractyes

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