MétaCan
Menu
Back to cohort

Seasonal decline in male‐phase duration in a protandrous plant: a response to increased mating opportunities?

2000· article· en· W2104801021 on OpenAlexafffund
Risa D. Sargent, Bernard D. Roitberg

Bibliographic record

VenueFunctional Ecology · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyOnagraceaePollinatorMatingPollinationDuration (music)EcologyPopulationSeasonal breederGrowing seasonMating systemZoologyDemographyPollen

Abstract

fetched live from OpenAlex

Abstract 1. We examined the effects of pollinator visitation and time of season on male‐ and female‐phase duration, using experimental manipulation and survey data from naturally occurring populations of Chamerion (= Epilobium ) angustifolium (L.) J. Holub (Onagraceae). 2. Based on the observation that male mating opportunity (numbers of female flowers/numbers of male flowers) increases seasonally, we predicted that individual flowers should spend more time in the male phase early in the season when mating opportunity is low. We predicted that if seasonal changes in mating opportunity select for phase duration, male‐phase duration should decline when pollinator effects are experimentally controlled. 3. A comparison of phase duration in naturally pollinated and pollinator‐excluded plants supported this prediction: male‐phase duration in the pollinator‐exclusion treatment was longer and declined faster than in the naturally pollinated group. 4. A population survey revealed that once the effects of temperature were controlled for, male‐phase duration was negatively correlated with date, while female‐phase duration was positively correlated with date. 5. These findings suggest that seasonal variation in mating opportunity, and not just pollination rate or temperature, may play a significant role in phase duration in dichogamous plants.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.997

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)0.0040.000

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 head0.071
GPT teacher head0.240
Teacher spread0.169 · 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

Citations44
Published2000
Admission routes2
Has abstractyes

Explore more

Same venueFunctional EcologySame topicPlant and animal studiesFrench-language works237,207