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Record W7027282752

Chronological dating of high-elevation dead and dying trees on northern Vancouver Island, British Columbia

2007· article· en· W7027282752 on OpenAlexfundaboutno aff

Bibliographic record

VenueResearch Exchange (Washington State University) · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSnagDead treeWestern HemlockWhite (mutation)Range (aeronautics)Western europe
DOInot available

Abstract

fetched live from OpenAlex

Tree rings were analysed in order to determine the time of death for 18 moribund and dead trees of 3 species used as roosts by bats on the upper slopes (700-1500 m altitude) of Mt. Cain, northern Vancouver Island, Canada. The species were yellow cedar (Chamaecyparis nootkatensis), western hemlock (Tsuga heterophylla) and western white pine (Pinus monticola). Some 29 increment core samples were crossdated with tree-ring chronologies of living trees to estimate when the trees died. After they die, yellow cedar trees deteriorate slowly and remain standing for as long as 200 years. In contrast, few western hemlock and western white pine snags persist longer than 100 years. The ages at which the sampled trees died were highly variable, with western white pine, western hemlock, and yellow cedar exhibiting the narrowest to widest range of ages, respectively. The findings highlight the long persistence of snags in high-altitude coastal forests and the centuries of ecological service that these trees provide to snag-dependent wildlife.

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 score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.261
Teacher spread0.219 · 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

Citations5
Published2007
Admission routes2
Has abstractyes

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