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Record W1986539385 · doi:10.1139/b08-007

Developmentally programmed and plastic processes of growth in the multistemmed understory shrub <i>Vaccinium hirtum</i> (Ericaceae)

2008· article· en· W1986539385 on OpenAlexvenueno aff
Kôji Kawamura, Hiroshi Takeda

Bibliographic record

VenueBotany · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUnderstoryBiologyEricaceaeShrubDeciduousCanopyBotanySproutingBiomass (ecology)VacciniumSpecific leaf areaShade toleranceHorticultureAgronomyPhotosynthesis

Abstract

fetched live from OpenAlex

This paper investigates the developmentally programmed and plastic processes of growth in the multistemmed, deciduous shrub Vaccinium hirtum Thunb. We conducted the demographic censuses of stems and the measurements of stem growth and morphology along a natural light gradient in forest understory. With light availability from 5%–28%, the probability of sprouting new stems increased three-fold. Sprouts growing in well-lit conditions were larger than sprouts growing less light. In contrast, neither leaf area per unit aboveground biomass (LAR) nor relative growth rates of aboveground biomass (RGR) of individual stems changed significantly with light. Irrespective of light availability, LAR increased and RGR decreased with stem age. RGR approached zero in old stems &gt; 12-years-old, and their aboveground biomass productions were mostly used to replace deciduous leaves. Our results suggest that the response of aboveground structures to increasing light availability occurs by the production of new sprouts, rather than by the increased growth of existing stems. This indicates a hierarchy of plasticities within the multistemmed structure. Age-related strong controls of stem development reflect the sprouting and multistemmed habits. This growth strategy is favorable under high-stress environments with generally low resource levels such as forest understory and with unpredictable resource pulses such as caused by canopy gap disturbances.

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 score0.003
Threshold uncertainty score0.270

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 head0.015
GPT teacher head0.211
Teacher spread0.196 · 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

Citations9
Published2008
Admission routes1
Has abstractyes

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