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Record W1983411101 · doi:10.5558/tfc82675-5

Dynamique et estimation du rendement des strates de retour après coupe totale dans la sapinière à bouleau jaune

2006· article· en· W1983411101 on OpenAlexaffvenueabout
Julie Dubois, Jean‐Claude Ruel, Jean-Gabriel Elie, Louis Archambault

Bibliographic record

VenueThe Forestry Chronicle · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBalsamSpruce budwormChoristoneura fumiferanaAbies balsameaForestryEcological successionBlack spruceSite indexLoggingStockingRegeneration (biology)Abundance (ecology)Natural regenerationEnvironmental scienceSoftwoodThinningEcologyGeographyBiologyBotanyTaigaTortricidae

Abstract

fetched live from OpenAlex

A total of 48 plots originating from clearcuts were studied in the balsam fir-yellow birch ecological domain of the province of Quebec, Canada, using dendrochronology. The aim of the study was to assess the effect of pre-cut stand type, structure and abundance of regeneration after logging, and soil type on stand dynamics. Results indicate a relationship between pre-cut stand type and the composition of second-growth stands. Ecological characteristics must be taken into account in order to estimate the abundance of advance regeneration and predict the evolution of stocking. Results also show that the structure of regeneration, described by a diameter index, can help in predicting yield at age 38. Devastation by the spruce budworm played a major role in second-growth stand dynamics making it difficult to predict balsam fir yield. The study has also shown an increase in intolerant hardwoods and a low softwood production on rich sites. Black spruce stands came back to black spruce.Key words: mixedwoods, succession, regeneration survey, yield, Choristoneura fumiferana

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.210
Teacher spread0.195 · 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

Citations6
Published2006
Admission routes3
Has abstractyes

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Same venueThe Forestry ChronicleSame topicForest Ecology and Biodiversity StudiesFrench-language works237,207