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Record W3211944509 · doi:10.1643/h2020048

Environmental Influences on the Larval Density and Age-Class Distribution of Ascaphus truei near the Northern Extent of Its Range

2021· article· en· W3211944509 on OpenAlexaff
Cherie M. McKeeman, Chris J. Johnson, Brent W. Murray, Melissa Todd

Bibliographic record

VenueIchthyology & Herpetology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsMinistry of ForestsUniversity of Northern British Columbia
Fundersnot available
KeywordsLarvaSTREAMSAmphibianEcologyAbundance (ecology)Range (aeronautics)HabitatBiologySpatial distributionPopulation densityPopulationEnvironmental scienceGeographyDemography

Abstract

fetched live from OpenAlex

Complex environmental factors influence the distribution of species within lotic systems. This is especially apparent for amphibian species that have a multi-year larval stage. Pre-metamorphic Coastal Tailed Frogs ( Ascaphus truei ) are found in fast-flowing headwater streams for up to four years. Although there is considerable opportunity for the spatial redistribution of larval frogs, there is relatively little known of the habitat ecology of the various growth stages. We compared the abundance of larvae near the northern extent of the species range to a collection of environmental factors hypothesized to influence population density. We also assessed spatial segregation at various developmental stages where relatively short summers and cool climates result in a long residence for larvae. The top ranked model for larvae abundance included covariates representing the wetted width and wetted depth of the stream. Capture rates decreased in a nonlinear fashion as wetted width increased, and rates increased in streams wider than 6 m. Capture rates nonlinearly increased when stream depth exceeded 20 cm. Older larvae were associated with greater slopes than younger larvae. Our results suggest little evidence for a relationship between elevation and cohort distribution. We recommend considering micro-scale influences on the presence and movement patterns of Coastal Tailed Frog larvae within streams.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.211
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 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 routes1
Has abstractyes

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