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Record W7053541291

Walleye Out of the Frying Pan and into the Fire: How Will Climate Change Influence Ontario Walleye (Sander Vitreus) and Small Mouth Bass (Micropterus Dolomien) Populations? Do Small Mouth Bass Invasions Negatively Influence Walleye Abundance?

2016· other· en· W7053541291 on OpenAlexfundaboutno aff

Bibliographic record

VenueYorkSpace (York University) · 2016
Typeother
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaYork University
KeywordsNucleofectionHyporeflexiaTSG101Gestational periodArticular cartilage damageLiquation
DOInot available

Abstract

fetched live from OpenAlex

Climate change will impact freshwater fish communities in Ontario. Warmwater species are expanding their ranges northward while cool and coldwater species are expected to shift or decline under the current rates of warming. Our first objective was to examine how a warmwater predator, smallmouth bass (Micropterus dolomieu) and a coolwater predator, walleye (Sander vitreus), will respond to climate change. Our second objective was to determine if smallmouth bass expansions negatively influence Ontario walleye abundances. Data was provided by the Ontario Ministry of Natural Resources, Intergovernmental Panel on Climate Change, and Climatic Research Unit. We projected that smallmouth bass will undergo range expansions throughout Ontario while walleye will become extirpated in their southern ranges and shift into northern waters. We also observed that there were fewer walleye at the landscape scale when they share lakes with smallmouth bass. These findings underscore the importance of proactive fisheries management and curbing climate change.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.031
GPT teacher head0.190
Teacher spread0.159 · 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 designNot applicable
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
Published2016
Admission routes2
Has abstractyes

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