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Record W2041619870 · doi:10.2980/18-2-3408

Contrasting response to clipping in the Asian knotweeds <i>Fallopia japonica</i> and <i>Fallopia</i> × <i>bohemica</i>

2011· article· en· W2041619870 on OpenAlexvenueno aff
Soraya Rouifed, Gudrun Bornette, Lubiana Mistler, Florence Piola

Bibliographic record

VenueEcoscience · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsnot available
FundersAgence de l'eau Loire-Bretagne
KeywordsRhizomeClipping (morphology)BiologyBotanyJaponicaBiomass (ecology)Invasive speciesTaxonPopulationAgronomy

Abstract

fetched live from OpenAlex

Invasive species are often managed with the objective of population control or eradication. Here we tested whether clipping techniques influenced the aboveground and belowground structures of 2 closely related invasive taxa: Fallopia japonica and Fallopia x bohemica. We compared the aboveground response (plant height, number of stems, and number of leaves) of rhizome fragments to clipping of both taxa. The second experiment was aimed at comparing the belowground response of both taxa to the same clipping disturbance. Rhizome fragments were planted in rhizoboxes and subjected to a clipping disturbance after 4 weeks of growth. Regrowth, belowground biomass, specific root length, total root length, and distribution of roots in 3 soil layers were measured. Aboveground plant traits of both taxa were unaffected by clipping. On the other hand, clipping induced a reduction in belowground dry mass and an increased proportion of roots in the upper layer of soil in F. japonica. Both taxa of Asian knotweeds are highly tolerant to clipping because they are able to cope with aerial biomass loss. Nevertheless, this tolerance seems to be lower in F. japonica. The potential implications for the impact of these invasive species are discussed.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.070
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.000
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 head0.016
GPT teacher head0.224
Teacher spread0.208 · 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
Published2011
Admission routes1
Has abstractyes

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