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Record W2018452282 · doi:10.1139/x01-178

Relationship between heartwood radius and early radial growth, tree age, and climate in <i>Pinus canariensis</i>

2002· article· en· W2018452282 on OpenAlexvenueno aff
José Climent, María Regina Chambel, Elisa Perez, Luis Gil, J. A. Pardos

Bibliographic record

VenueCanadian Journal of Forest Research · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicForest ecology and management
Canadian institutionsnot available
Fundersnot available
KeywordsDiameter at breast heightPinus <genus>Range (aeronautics)RADIUSDendrochronologyAltitude (triangle)Environmental scienceBotanyHorticultureBiologyEcologyAnimal scienceMathematicsGeometry

Abstract

fetched live from OpenAlex

Heartwood radius at breast height was studied in 31 sampling sites from natural stands of Canary Islands pine (Pinus canariensis Chr. Sm. ex DC) covering the natural range of the species. After withdrawal of defective and nonheartwood samples, 1640 sound radial cores ranging in age from 30 to 265 years were analysed. Linearized models for the prediction of heartwood radius at breast height were obtained using stepwise regression methods. The best fit was attained including age and early radial growth variables (radius of the 25 or to the 50 inner rings), while stem radius inside bark and whole radial growth rate did not improve the prediction. Sampling sites were classified into five climate types, established according to the main plant communities associated with Pinus canariensis. The use of separate models for each climate type led to a significant reduction of the residual variance compared with multiple climate models. This confirmed that climate is an essential factor in heartwood development in Pinus canariensis even when 51–73% of heartwood radius variation is explained by age and early growth. For fixed values of age and early growth, models predicted wider heartwood in drier climate types than in wet and high-altitude (supra-nubius) climate types.

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 score0.019
Threshold uncertainty score0.037

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.048
GPT teacher head0.270
Teacher spread0.222 · 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

Citations55
Published2002
Admission routes1
Has abstractyes

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