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Record W1501499386 · doi:10.1002/ppp.1776

Characteristics and Persistence of Relict High‐Altitude Permafrost on Mahan Mountain, Loess Plateau, China

2013· article· en· W1501499386 on OpenAlexaff
Changwei Xie, William A. Gough, Andrew Tam, Lin Zhao, Tonghua Wu

Bibliographic record

VenuePermafrost and Periglacial Processes · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersGlobal Change Research Program of ChinaNational Natural Science Foundation of China
KeywordsPermafrostGeologyPeatActive layerPlateau (mathematics)GeomorphologyLoessPhysical geographyHydrology (agriculture)Geotechnical engineeringLayer (electronics)EcologyGeography

Abstract

fetched live from OpenAlex

ABSTRACT Mahan Mountain is the only region in the Loess Plateau (China) where permafrost persists. The permafrost is typical warm permafrost and remains in a very fragile and sensitive state. Remnants of permafrost (approximately 0.134 km 2 in area) remain in a low‐lying swamp where the top 70 cm of soil contains abundant organic material (peat). The lowest temperature of the permafrost was ‐0.2°C between depths of 10 and 16 m, with temperature increasing upwards and downwards along a gradient of ± 0.01°C/m, and the permafrost thickness exceeded 30 m in this region. The distribution and thermal state of permafrost on Mahan Mountain closely relate to the surface conditions and soil type. In this study, the important protective effects of the peat layer and ground ice are illustrated using a one‐dimensional finite difference model of heat flow. The simulation results indicate that active‐layer thickness of permafrost on Mahan Mountain would increase by approximately 83 per cent under current climate conditions without the protection of the peat layer and ground ice. Based on the temperature projections of general circulation models, this study projects that permafrost will likely remain on Mahan Mountain for the next 40 to 50 years. Copyright © 2013 John Wiley & Sons, Ltd.

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 score0.007
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.220
Teacher spread0.200 · 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

Citations24
Published2013
Admission routes1
Has abstractyes

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