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Record W4390946958 · doi:10.1080/11956860.2024.2303190

Temporal and spatial variation in extrafloral nectar and associated ants in <i>Canavalia rosea</i> (Fabaceae) on coastal dunes along the Gulf of Mexico

2023· article· en· W4390946958 on OpenAlexvenueno aff
Elizabeth Navarro-Ulloa, Betsabé Ruíz‐Guerra, Cecilia Díaz‐Castelazo, Víctor Rico‐Gray, Kleber Del‐Claro, Armando Aguirre‐Jaimes

Bibliographic record

VenueEcoscience · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsNectarBiologyInflorescenceMyrmecophyteFabaceaeMutualism (biology)BotanyANTEcologyPollen

Abstract

fetched live from OpenAlex

Extrafloral nectar production can vary depending on the structure of the plant in which it is found, as well as environmental conditions. This can in turn influence plant-ant interactions. We evaluated the role of extrafloral nectaries of Canavalia rosea as ant attractants in a coastal zone of the Gulf of Mexico. We compared the productivity of the extrafloral nectaries present on leaves and inflorescences, as well as between day and night, and described the associated ant community. Nectar volume and concentration were higher in inflorescences than in leaves, and the rate of ant visitation was higher in inflorescences during the day. These results suggest congruence with the Optimal Defense Hypothesis. Nectar volume was generally greater during the night in both structures, but sugar concentration did not differ between day and night. We found a turnover in the ant species visiting C. rosea, with S. geminata being the most abundant species. The extrafloral nectar of C. rosea attracts several ant species and probably other arthropods, providing a valuable resource in a stressful system.

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 score0.333
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.032
GPT teacher head0.221
Teacher spread0.189 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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