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Record W6959793758 · doi:10.1051/forest:2003057/pdf

Performance and physiology of large containerized and bare-root spruce seedlings in relation to scarification and competition in Québec (Canada)

2003· article· en· W6959793758 on OpenAlexaboutno aff

Bibliographic record

VenueSpringer Link (Chiba Institute of Technology) · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsScarificationSeedlingStock (firearms)SowingCompetition (biology)Vegetation (pathology)

Abstract

fetched live from OpenAlex

- In Québec (Canada), the use of large planting stock is being applied in combination with scarification, since herbicide use is forbidden in public forest. Large containerized and bare-root stock of black spruce were planted on two sites located within the sub-boreal mixedwood region of eastern Québec. We analyzed data to detect main effects and interactions among scarification, competing vegetation and stock type on seedling growth and physiology during the first three growing seasons. Scarification did not improve seedling water relations, third-year height and ground-level diameter, and foliar nutrient concentration. After three years, the two stock types showed similar water relations and nutritional status but the large containerized seedlings performed slightly better than the large bare-root stock in terms of diameter and height growth. Competing vegetation greatly reduced seedling diameter, foliar-N concentration, compared to competition-free seedlings. We discuss results in relation with treatment effects on above- and belowground resource availability to newly planted conifers.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
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)0.0000.000

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 head0.007
GPT teacher head0.185
Teacher spread0.178 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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