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Record W2090601206 · doi:10.1139/z05-081

Variation in tiger salamander density within prairie potholes affects aquatic bird foraging behaviour

2005· article· en· W2090601206 on OpenAlexfundvenueno aff
Glenn Benoy

Bibliographic record

VenueCanadian Journal of Zoology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaDelta WaterfowlUniversity of Guelph
KeywordsBiologyTiger salamanderSalamanderTigerForagingPredationEcologyInvertebrateCaudataZoologyLarva

Abstract

fetched live from OpenAlex

Through competitive asymmetry, coexisting fish populations can alter aquatic bird distributions and reduce the reproductive success of their offspring. Gray tiger salamanders (Ambystoma mavortium diaboli Dunn, 1940) may function similarly in fishless prairie potholes. To test the hypothesis that tiger salamanders compete with aquatic birds (including ducks, grebes, and American Coot (Fulica americana J.F. Gmelin, 1789)) for prey resources during the breeding season, 16 potholes were divided into halves by an impermeable plastic barrier and tiger salamander densities were increased or decreased on opposite sides of the barrier. From late May until early July, aquatic invertebrates were sampled from both sides of the divider and the foraging activities of birds were observed. Invertebrate samples revealed that densities of most macroinvertebrate taxa were lower in the halves of potholes with relatively higher densities of tiger salamanders. On average, bird occupancy was evenly distributed on either side of the divider. In contrast, birds spent 65% more time foraging where tiger salamander densities were low (71.2% of total time observed) than where they were high (46.2% of total time observed). The birds most responsive to differences in tiger salamander density and food availability were dabbling ducks, followed by American Coot and diving ducks. This ranking corresponds to the degree of dietary overlap documented between tiger salamanders and aquatic bird assemblages in the study area.

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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.009
GPT teacher head0.212
Teacher spread0.202 · 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

Citations8
Published2005
Admission routes2
Has abstractyes

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