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Record W3207688922 · doi:10.1029/2021jf006204

Mechanisms of Discontinuous Permafrost Thaw in Peatlands

2021· article· en· W3207688922 on OpenAlexafffundabout
Élise Devoie, James R. Craig, Mason Dominico, Olivia Carpino, Ryan Connon, Ashley Rudy, William L. Quinton

Bibliographic record

VenueJournal of Geophysical Research Earth Surface · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsGovernment of Northwest TerritoriesWilfrid Laurier UniversityUniversity of Waterloo
FundersArcticNet
KeywordsPermafrostPeatAdvectionGeologyEnvironmental scienceHydrology (agriculture)Climate changeGeomorphologyGeotechnical engineeringEcologyOceanography

Abstract

fetched live from OpenAlex

Abstract Climate warming in discontinuous permafrost peatlands is causing permafrost loss and changes in ecosystem dynamics at an unprecedented rate. Though rates of permafrost loss and landscape change have been widely documented based on remote sensing and field measurements, the local mechanisms of permafrost degradation remain under‐studied. These mechanisms were explored using data collected over three decades of research in the Scotty Creek study basin in the southern Northwest Territories of Canada. The data, when compared to numerical modeling results, demonstrated that vertical heat conduction accounts for most vertical permafrost degradation, while advective heat transfer drives thaw in features which are subject to seasonal flows. It was found that heat advection was necessary to describe lateral thaw rates of up to 115 cm annually, which are an order of magnitude greater than vertical thaw rates, which average 10 cm annually. Thaw from below, driven either by the geothermal gradient or groundwater flow, may account for up to 10 cm of permafrost thaw annually. The hydrologic, thermodynamic and geophysical function of taliks in different parts of the landscape were considered in light of the data collected at the field site and surrounding area. This analysis is supported through the use of ERT data detailing the subsurface permafrost structure. This understanding of local thaw mechanisms and trajectory is an important first step in being able to predict distributed permafrost thaw in peatlands.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.320
Teacher spread0.257 · 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.

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

Citations34
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Geophysical Research Earth SurfaceSame topicClimate change and permafrostFrench-language works237,207