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Record W4406932046 · doi:10.1007/s11273-025-10033-8

Patterned rich fens in southeastern Yukon: comparisons with boreal and montane fens in Alberta

2025· article· en· W4406932046 on OpenAlexafffundabout
Dale H. Vitt, Caitlin N. Willier, Melissa House

Bibliographic record

VenueWetlands Ecology and Management · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsYukon Department of Environment
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBorealMontane ecologyTaigaPhysical geographyPeatGeologyEnvironmental scienceGeographyForestryEcologyArchaeologyPaleontology

Abstract

fetched live from OpenAlex

Detailed descriptions of three patterned rich fens, located along the Hyland River, approximately 155 km north of the town of Watson Lake, are reported for the first time. Similar to rich fens farther south in boreal and montane Alberta, these fens are characterized by high species richness and a ground layer dominated by Scorpidium scorpioides and S. revolvens . Despite the similarities in dominant ground layer species, these northern cordilleran rich fens differ in water chemistry and in having a number of species characteristic of northern or coastal locations, and lack many of the characteristic rich fen species found to the south. Therefore, these Yukon rich fens represent a unique variation within rich fen peatlands and indicate that S. scorpioides and S. revolvens are not strictly confined to high Ca 2+ conditions. This distinct combination of water chemistry and plant composition not only sets these Yukon fens apart ecologically, but also underscores their importance as habitat for rare and specialized plant communities. Protecting these fens would ensure these distinctive wetlands continue to serve as refuges for species with specialized habitat requirements. Additionally, The locations of 425 patterned fens in the Yukon are documented using SPOT 5 imagery, ESRI world imagery, and Google Earth Pro. Less than 10 of these patterned fens have been visited and surveyed and little is known about their vegetation and chemistry.

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 score0.430
Threshold uncertainty score0.633

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 head0.005
GPT teacher head0.207
Teacher spread0.202 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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