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Record W4401265730 · doi:10.1002/ppp.2242

Uncrewed Aerial Vehicle–Based Assessments of Peatland Permafrost Vulnerability Along the Labrador Sea Coastline, Northern Canada

2024· article· en· W4401265730 on OpenAlexafffundabout
Jordan Beer, Yifeng Wang, Robert G. Way, Anika Forget, Victoria Colyn

Bibliographic record

VenuePermafrost and Periglacial Processes · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaQueen's University
KeywordsPermafrostGeologyPeatPhysical geographyGeomorphologyThermokarstOceanographyGeographyArchaeology

Abstract

fetched live from OpenAlex

ABSTRACT Palsas and peat plateaus in subarctic peatlands are some of the southernmost lowland permafrost landforms in the Northern Hemisphere. Peatland permafrost along the Labrador Sea coastline in northeastern Canada is substantially understudied despite the importance of these landforms for wildlife, carbon stores, and Indigenous land users. In this study, we derived geomorphological and resiliency indices for peatland permafrost landforms at 20 wetland complexes, spanning a latitudinal gradient from Blanc‐Sablon, QC (51.4° N), to Nain, NL (56.5° N). Orthomosaics and three‐dimensional point clouds were created for each site using UAV‐based surveys and structure‐from‐motion photogrammetry. Analyses revealed that landforms in the region are characterized by short heights (maximum height: 3.65 m, average height: 0.49 m) with lichen and dwarf shrub cover, making them more similar to features in northern Europe than western Canada. Palsas and peat plateaus ranged in size from 49 to 14,233 m 2 , with a median feature size of 259 m 2 . Peatland permafrost in the region exhibits high levels of fragmentation, with most study sites (90%) exhibiting low or very low thaw resiliency. The results from this study indicate a high vulnerability to thaw and degradational processes, with potential negative consequences for species of cultural value to Labrador Inuit, Kallunângajuit, and Innu.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.385
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.260
Teacher spread0.238 · 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

Citations5
Published2024
Admission routes3
Has abstractyes

Explore more

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