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Record W2124457388 · doi:10.1139/b08-134

Belowground starch consumption after recurrent severe disturbance in three resprouter species of the genus<i>Erica</i>

2009· article· en· W2124457388 on OpenAlexvenueno aff
Susana Paula, Fernando Ojeda

Bibliographic record

VenueBotany · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyBiomass (ecology)Clipping (morphology)BotanyStarchDisturbance (geology)Agronomy

Abstract

fetched live from OpenAlex

It is generally assumed that belowground starch reserves are consumed partially and gradually after successive resprouting events in resprouter woody plants. We have explored the aboveground (biomass) and belowground (root starch) response of three species of Erica, Erica australis L., Erica scoparia L., and Erica arborea L., after different histories of disturbance intensity to test the existence of a gradual decrease in (i) the final biomass of the aboveground regrowth and (ii) the relative amount of root starch across increasing levels of disturbance frequency. Increasing clipping frequency produced a progressive reduction in the final regrowth in the three species. By contrast, root starch levels dropped markedly in plants of all clipping treatments when compared with root starch of unclipped plants, but significant differences were not detected among clipping frequencies. This pattern was consistent across the three species of Erica. This study highlights a crucial role of belowground (root) starch reserves for postdisturbance regrowth in resprouter species of Erica. It also shows a consistent pattern of rapid, not conservative, consumption of starch reserves after the complete removal of the aboveground part, nearly irrespective of the previous history of disturbance frequency.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.014
GPT teacher head0.234
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), 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

Citations63
Published2009
Admission routes1
Has abstractyes

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