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Record W2082837562 · doi:10.1656/045.018.0201

Seasonal and Spatial Distributions of Black Fly Larvae (Diptera: Simuliidae) in Two Lake Outlet Streams of the Mauricie Region of Québec, and Species Survey in Parts of Southern Québec Territory

2011· article· en· W2082837562 on OpenAlexaffabout
Christine Gaudreau, G. Charpentier

Bibliographic record

VenueNortheastern Naturalist · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersShahid Beheshti University of Medical Sciences
KeywordsBlack flySTREAMSVoltinismSimuliumEcologySampling (signal processing)LarvaGeographyBiological dispersalBiologyPopulation

Abstract

fetched live from OpenAlex

There is great ecological interest in carrying out a new inventory of southern Québec simuliids, including an exhaustive sampling in two lake outlet streams of the Mauricie region, because data from Québec were last reported only prior to 1980. Frequent sampling is needed to determine how species distributions change in response to climatic and environmental changes. Twenty-two of the 65 Québec species were collected in the present study. One new species for Québec was collected (Prosimulium magnum complex), and new distribution areas were found for some species. Exhaustive sampling clearly showed time- and space-related distribution variations of the univoltine and polyvoltine species. Seasonal appearance of species was synchronized at the two sites studied, but generation number was smaller at Lac du Barrage than at Lac Souris. The species-colonizing process seems to be environmentally determined stream-width and substrate-type influenced, as Simulium annulus, S. jenningsi. S. pictipes, and S. innoxium, were found in high-current-velocity falls. Artificial site colonization by S. aureum in a peri-urban environment had not been observed among simuliids prior to this study, in contrast to many mosquito species.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.385

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.198
Teacher spread0.178 · 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.

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

Citations2
Published2011
Admission routes2
Has abstractyes

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