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Record W2274938348

High resolution fire and vegetation history of Garry oak ecosystems in British Columbia

2006· dissertation· en· W2274938348 on OpenAlexfundaboutno aff
Marian Melissa McCoy

Bibliographic record

VenueSummit (Simon Fraser University) · 2006
Typedissertation
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaSimon Fraser UniversityParks Canada
KeywordsVegetation (pathology)CharcoalFire regimeEcosystemClimate changePollenEcologyBorealGeographyPhysical geographyEnvironmental scienceDisturbance (geology)Fire historyOceanographyArchaeologyGeology
DOInot available

Abstract

fetched live from OpenAlex

I used fossil pollen and macroscopic charcoal in sediments extracted from three lakes to investigate the effects of climate and human activity on fire regimes and vegetation of Garry oak ecosystems in British Columbia. Sediment records from Roe Lake and Quamichan Lake span the past 250 calendar years, while the Florence Lake record spans 560. Roe and Quamichan charcoal records exhibit similar fire patterns and correspond to other fire records in the Pacific Northwest, indicating climate-driven responses. After ca. 1870, European agriculture, logging, and fire suppression dominate the fire and vegetation history at Roe and Quamichan lakes. Variations in pollen abundance and species composition confirm forest clearance and exotic plant introductions. Florence Lake data also correspond well with regional climate, until ca. 1800. These results show that, up until the mid-1800s, fire and vegetation histories varied in response to climate; thereafter, cultural activities appear to have dominated disturbance regimes.

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 score0.086
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.160
Teacher spread0.156 · 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

Citations9
Published2006
Admission routes2
Has abstractyes

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