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Record W2113801881 · doi:10.1139/f05-259

Historical changes in abundance and community structure of warmwater piscivore communities associated with changes in water clarity, nutrients, and temperature

2006· article· en· W2113801881 on OpenAlexfundvenueaboutno aff
Megan M. Reese Robillard, Michael G. Fox

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMinistry of Natural Resources
KeywordsPiscivoreAbundance (ecology)Abiotic componentMicropterusNutrientChlorophyll aEnvironmental scienceEcologyCommunity structureZooplanktonRelative species abundanceBiologyFisheryBass (fish)Predator

Abstract

fetched live from OpenAlex

In this study, we assess changes in the piscivore community of four large, shallow lakes in the Kawartha Lakes region of central Ontario, Canada, over the period from 1980 to 2003 and relate these changes to temporal trends in phosphorus concentration, water clarity, and temperature. Over the 24-year period of data collection, there has been a regional-scale decline in the relative abundance of walleye (Sander vitreus) and an increase in the relative abundance of bass (Micropterus spp.) species. These changes were associated with reductions in phosphorus concentration and increases in water clarity and summer temperature. Results of a comparative field study conducted on 13 regional lakes indicate significant positive associations between concentrations of total phosphorus and chlorophyll a and zooplankton and walleye density. These data suggest that bottom-up effects are limiting walleye abundance either directly or in combination with abiotic conditions that favour bass over walleye.

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)0.001
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 score0.478
Threshold uncertainty score0.951

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
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 head0.013
GPT teacher head0.186
Teacher spread0.173 · 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

Citations38
Published2006
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Fisheries and Aquatic Sciences→Same topicFish Ecology and Management Studies→French-language works237,207→