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Record W2062883791 · doi:10.1139/b08-083

The structure of the flower–insect visitor system in tall-grass prairie

2008· article· en· W2062883791 on OpenAlexaffvenue
Diana Bizecki Robson

Bibliographic record

VenueBotany · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsResearch Manitoba
FundersJohnson and Johnson
KeywordsBiologySolidago canadensisPhenologyInsectEcologySpecies richnessHabitatBotanyInvasive species

Abstract

fetched live from OpenAlex

Tall-grass prairie is endangered by habitat loss and fragmentation, and climate change. Flower-visiting-insect activity on two tall-grass prairie communities, one larger and more mesic than the other, was examined to determine network structure, and temporal and spatial variation. Flower-visiting insect richness and visitation rate were monitored for 2 years. Most insect-visitor taxa were Diptera, followed closely by Hymenoptera. Only 18% of insect taxa visited both communities in both years, but were responsible for 70% of all visits. The three most active insect species were Toxomerus marginatus Say, Bombus ternarius Say, and Odontomyia pubescens Day. The core plants, receiving over 67% of all visits, were Solidago canadensis L., Solidago rigida L., and Zizia aptera (Gray) Fern. Seasonal differences in insect visits were primarily due to temperature, as well as normal phenological patterns. Diptera was more abundant at one site, likely owing to differences in the quantity of nearby aquatic larval habitat. The mutualistic network of these two tall-grass prairies is significantly nested, which may make it more resilient to environmental perturbations than systems that are more compartmentalized.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.996

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 studies0.0000.000
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 head0.021
GPT teacher head0.185
Teacher spread0.164 · 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

Citations13
Published2008
Admission routes2
Has abstractyes

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