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Record W3019383011

Pollination Aters Floral lLngevity of Arctic Lupine

2019· article· en· W3019383011 on OpenAlexaboutno aff
Clara Reid

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsPollinationBiologyPollenBotany
DOInot available

Abstract

fetched live from OpenAlex

This is a pollination ecology study conducted in the boreal forest of southern Yukon. Insect pollination is a mutualistic relationship in which the plant receives pollen necessary to produce seeds, while the pollinator receives a reward such as nectar. Floral longevity is the length of time a flower blooms for, from when it first opens to when the petals wilt or fall off. My study focused on Arctic lupine (Lupinus arcticus) and examined floral longevity in relation to methods of pollination. Flowers that were insect-pollinated or cross-pollinated by hand bloomed for less time and produced more seeds than flowers isolated from pollinators. This shows that insect-pollination is associated with higher pollination success (indicated by higher seed production), and that hand-pollination has a similar effect. Therefore, high pollination success was associated with shorter floral longevities. 
\nPollination-induced shortening of floral longevity is likely an adaptation to increase the efficiency of plant-pollinator interactions. For plants, the main purpose of a flower is to be pollinated, so once pollination has occurred it is energetically unfavourable for the flower to maintain its blooming state. For pollinators, the senescence of flowers soon after they are pollinated discourages insects from visiting flowers whose rewards (ex. nectar) have been depleted by previous visitors. These processes suggest that plants and pollinators are energy-limited. Understanding such aspects of pollination ecology are meaningful in the face of declines of native pollinator and plant populations, as they can better inform conservation efforts.

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)0.001
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 score0.824
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.022
GPT teacher head0.246
Teacher spread0.224 · 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
Published2019
Admission routes1
Has abstractyes

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