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Record W1164934432 · doi:10.25675/3.023842

Recreating peatland initiation conditions: methods for reclaiming peatlands in Alberta's oil sands region

2007· other· en· W1164934432 on OpenAlex
Andrea K. Borkenhagen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Collections of Colorado (Colorado State University) · 2007
Typeother
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsnot available
FundersSuncor Energy Incorporated
KeywordsPeatOil sandsGeologyEnvironmental sciencePhysical geographyGeographyArchaeologyAsphalt

Abstract

fetched live from OpenAlex

Northern Alberta's oil sands deposit is the largest in the world and mining operations remove vast areas of upland forests and peatland ecosystems. Reclaiming peatland ecosystems is challenging as it takes thousands of years to reestablish peat soils to pre-disturbance extents. Practical approaches that are easy to implement are required to reclaim the tens of thousands of peatland hectares that have been lost to mining activities. My research focuses on developing reclamation methods that recreate peatland initiation conditions on mineral soil and apply assisted succession techniques by introducing mosses, plants and woody cover. I evaluated the regenerative abilities of five common fen mosses introduced in a 1:10 mixture to clay loam mineral soil. To evaluate optimal hydrologic conditions for moss species establishment, I tested four water levels below the soil surface (0, -10, -20, and -30 cm). I recreated plant communities and microclimates similar to those found during peatland initiation to determine those that increased moss species establishment by comparing cover treatments of herbaceous plants, woody plants, and WoodStraw® (wood-strand) mulch. After two seasons of growth, fen mosses established and grew to an average of 20 percent cover on mineral soils. Total moss cover was not significantly different between 0cm and -30 cm water levels but species distribution was as depth to the water table was the most important factor influencing establishment. Drepanocladus aduncus was most common when the water level was 0 cm and Aulacomnium palustre was most common in the -30 cm water level. Tomentypnum nitens had five times greater cover than any other moss. Moss species cover and height was greatest under herbaceous plants and at 0 cm water level. Wood-strand mulch reduced the cover of salt that precipitated on the soil surface, which also increased as the water table deepened. Implications to peatland reclamation include selecting a mixture of mosses to adapt to chemical and hydrologic variations and planting herbaceous plants and or applying wood-strand mulch to improve moss establishment on mineral soil. Peatlands may take thousands of years to develop, but reclaiming a carbon-accumulating ecosystem and establishing the foundations for peatland succession is possible. The applications described here provide economical and practical strategies to reconstruct pre-existing peatland ecosystems in Alberta's oil sands region.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.195
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.265
Teacher spread0.248 · 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