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Record W1979011093 · doi:10.1191/0959683603hl609rp

Development history and carbon accumulation of a slope bog in oceanic British Columbia, Canada

2003· article· en· W1979011093 on OpenAlexaffabout
Carrie Turunen, Jukka Turunen

Bibliographic record

VenueThe Holocene · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsMcGill University
FundersHelsingin Yliopisto
KeywordsMireBogPeatHoloceneRadiocarbon datingSphagnumGeologyPinus contortaPhysical geographyEcologyOceanographyGeographyPaleontologyBiology

Abstract

fetched live from OpenAlex

Palaeoecological techniques and radiocarbon datings were used to reconstruct the initiation and development of a sloping bog system near Prince Rupert, British Columbia, Canada. Peat initiation began around 12 000 cal. BP, possibly as a result of a cool, wet climate prior to the insolation maximum. A Picea sitchensis-Tsuga heterophylla-Alnus minerotrophic wet fern forest occupied the study site from 9300 to 8300 cal. BP. Between 8300 and 7500 cal. BP, cooler and wetter climatic conditions promoted increased organic matter accumulation and paludification by Sphagnum species. Subsequent lateral expansion has been very slow in the later Holocene. Paludification resulted in a shift to a scrubby, less productive Pinus contorta-T. heterophylla-Cupressaceae-Cyperaceae bog woodland around approximately 7500–3000 cal. BP. The modern Cupressaceae-Pinus contorta-T. heterophylla-Ericaceae-Cyperaceae mire was well established by 2000 cal. BP and a modern oceanic climate was predominant. The initiation and development of the studied bog corresponds to regional climatic and successional trends. However, the average long-term apparent rate of carbon accumu lation (LORCA) was low compared to rates from other northern mires, only 6.3 6 0.6 (SE) g m -2 yr -1 . About 53% of the present carbon store was already accumulated by 6200 cal. BP. This study emphasizes that mire initiation and slow forest paludification in north coastal British Columbia is a multidirectional process resulting from complex interactions between climatic and autogenic factors.

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)0.000
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 score0.184
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

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 head0.017
GPT teacher head0.202
Teacher spread0.185 · 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

Citations53
Published2003
Admission routes2
Has abstractyes

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