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Record W2001925162 · doi:10.1139/x03-061

Stem hydraulic properties and growth in lodgepole pine stands following thinning and sway treatment

2003· article· en· W2001925162 on OpenAlexvenueno aff
Xiaodong Liu, U. Silins, Victor J. Lieffers, Rongzhou Man

Bibliographic record

VenueCanadian Journal of Forest Research · 2003
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThinningPinus contortaDiameter at breast heightHydraulic conductivityEnvironmental scienceBiologyHorticultureAnimal scienceBotanyEcologySoil science

Abstract

fetched live from OpenAlex

The objective of this study was to explore the effects of wind-caused sway on the growth and stem hydraulic properties of fire-origin juvenile lodgepole pine (Pinus contorta Dougl. ex Loud.) stands after thinning. Nine plots were thinned and trees were treated to suppress or exacerbate sway from the wind: thinned and supported with a pole (TP), thinned with an added sail (TS), thinned control (TC), and unthinned control (UC). Terminal leader growth, radial increment, and earlywood and latewood widths at breast height were measured for the last six growing seasons. The specific hydraulic conductivity of stems was measured. The results showed that thinning increased diameter growth and reduced height growth and slenderness coefficient (particularly for trees with added sails) compared with the unthinned control. Trees from thinned stands had reduced specific conductivity compared with the trees from unthinned controls, suggesting that tree bending caused functional damage to sapwood. Specific conductivity was 1.36 × 10–5, 1.06 × 10–5, 0.96 × 10–5, and 0.83 × 10–5 m·s–1 in UC, TP, TC, and TS treatments, respectively. Trees from thinned stands, however, increased their total leaf area in the years following thinning.

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 score0.003
Threshold uncertainty score0.006

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 head0.068
GPT teacher head0.267
Teacher spread0.199 · 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

Citations58
Published2003
Admission routes1
Has abstractyes

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