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Record W1992642075 · doi:10.1139/x06-166

Slow growth, long-lived trees, and minimal disturbance characterize the dynamics of an ancient, montane forest in coastal British Columbia

2006· article· en· W1992642075 on OpenAlexvenueaboutno aff
Roberta Parish, Joseph A. Antos

Bibliographic record

VenueCanadian Journal of Forest Research · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsnot available
Fundersnot available
KeywordsTsugaForest dynamicsDisturbance (geology)ChamaecyparisWestern HemlockEcologySeedlingCanopyDiameter at breast heightShade toleranceSubalpine forestStand developmentBiologyEcological successionForestryGeographyMontane ecologyBotany

Abstract

fetched live from OpenAlex

Elucidating the factors that structure very old forests is crucial to understanding their dynamics. We reconstructed the history of an ancient (1000-year-old) stand in the mountains of coastal British Columbia that contained four tree species (Abies amabilis (Dougl.) Forbes, Chamaecyparis nootkatensis (D. Don) Spach., Tsuga mertensiana (Bong.) Carr., and Tsuga heterophylla (Raf.) Sarg.) in the canopy and the seedling bank. Using dendrochronological procedures, we examined the growth patterns of all trees (>4.0 cm diameter at breast height) in four 0.25 ha mapped plots. We also sampled the seedling bank in the four plots. Age structures indicated variable but rather continuous recruitment for all species. Periods of increased amounts of release or rapid early growth occurred but were not pronounced. Overall, we found little evidence for stand-level disturbance or the formation of large gaps. All four tree species appear able to persist in the stand in the absence of major stand-level disturbance, but the mechanisms contributing to coexistence differ. One species, C. nootkatensis, depends primarily on vegetative reproduction for persistence. Single-tree gap dynamics have predominated in the stand for centuries, placing this stand at the far end of the gradient from forests controlled by large, severe disturbances to those where very small-scale processes predominate.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
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 head0.021
GPT teacher head0.238
Teacher spread0.218 · 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

Citations36
Published2006
Admission routes2
Has abstractyes

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