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Record W6950649461 · doi:10.5683/sp/aoexwn

Replication data for: Effects of simulated wastewater nutrient amendments on Sphagnum productivity and decomposition within a subarctic ladder fen

2017· dataset· en· W6950649461 on OpenAlexaff

Bibliographic record

VenueBorealis · 2017
Typedataset
Languageen
Field
Topic
Canadian institutionsLaurentian University
Fundersnot available
KeywordsSphagnumSubarctic climatePeatNutrientProductivityWetlandEcosystem

Abstract

fetched live from OpenAlex

Peatlands dominate the flat landscape of the Hudson Bay Lowland (HBL). Sphagnum mosses are the key peat-generating plants allowing for important ecosystem services such as carbon storage and water polishing. The HBL also has current and proposed industrial mining development projects, and its peatlands may become increasingly used to polish secondarily-treated wastewater from mining camps. We examined biological changes in the plant community associated with the addition of simulated secondarily-treated wastewater to a subarctic ladder fen, a wetland type commonly found throughout the HBL. We determined how the nutrient additions affected the productivity, decomposition, and nutrient ratios within the ponds and raised peatland ridge components of the ladder fen. Our results show between a four to twelvefold increase in productivity rates of the low-lying Sphagnum rubellum species, and a twofold increase in productivity for the higher hummock or ridge-dominating species Sphagnum fuscum in locations closest to the point source of nutrient effluent. Regions of the experimental ribbed fen greater than 50 m away from the point source showed little difference in productivity rates or nutrient content than the reference fen levels. No significant changes to the rate of decomposition of Sphagnum were observed with relation to distance away from point source nutrients as the experimental fen decomposition rates were comparable to the reference fen rates. Sphagnum productivity per year remained greater than mass lost to decomposition. Therefore, this study suggests that, in the short-term, subarctic peatlands exposed to nutrient levels comparable to that present in treated domestic wastewater will increase their capacity to generate Sphagnum-peat and store carbon. This experimental research aids in understanding to what degree plants mediate shifts in ecosystem dynamics within subarctic ladder fens. Policy makers, community planners, and industries may consult these results for mining development projects within the HBL and elsewhere in subarctic and boreal biomes.

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)0.010
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.257
Threshold uncertainty score0.861

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.058
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.2570.058

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 head0.036
GPT teacher head0.349
Teacher spread0.313 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2017
Admission routes1
Has abstractyes

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