Development history and carbon accumulation of a slope bog in oceanic British Columbia, Canada
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".