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Record W2294439457

Ice wedge polygon development on different temporal and spatial scales in the northern Yukon, Canada

2015· article· en· W2294439457 on OpenAlexaboutno aff
Michael Fritz, Juliane Wolter, Natalia Rudaya, Olga Palagushkina, Larisa Nazarova, Michael Krautblatter, Jaroslav Obu

Bibliographic record

VenueHelmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostGeologyIce wedgeArcticThermokarstPhysical geographyAggradationIce coreRadiocarbon datingTundraGeomorphologyOceanographyPaleontologyStructural basinFluvialGeography
DOInot available

Abstract

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Ice wedge polygons (IWP) are amongst the most typical permafrost phenomena in Arctic lowlands. Within the northern hemisphere, IWP are thought to occupy between 250,000 km² (Minke et al., 2007) and 2,600,000 km² (Mackay 1972) of the tundra and boreal forest, which accounts for 3 to 31% of the arctic land mass including glaciated regions. Besides the wide spatial distribution, IWP have stored large quantities of organic carbon and nitrogen on geological timescales and are therefore regarded as greenhouse gas sinks. Continuous organic matter accumulation and preservation due to syngenetic permafrost aggradation make arctic polygon mires an excellent climate and environmental archive. \n \nHere we present the results of a multidisciplinary palaeoenvironmental study on IWP in the northern Yukon, Canada. High-resolution laboratory analyses were carried on a permafrost core together with the overlying active layer (233 cm length) which was drilled in 2012. Based on 14 AMS radiocarbon dates spanning the last 5,000 years, we report high-resolution ground ice stratigraphy, stable water isotopes (δ18O, δD), sedimentary data including grain size distribution and biogeochemical parameters (OC, N, C/N ratio, δ13C), as well as pollen and diatom assemblages. This is accompanied by high-resolution remote sensing data based on airborne LIDAR and on underground investigations using electrical resistivity tomography in different resolutions. \n \nThe studied low-centered IWP indicates that the whole IWP field was established after a shallow lake had drained at about 3200 cal BP. The diatom assemblage in the lower part of the sedimentary record is dominated by planktonic and pioneer species and by those preferring alkaline conditions. Ice-wedge cracking in water-saturated sediments started immediately after lake drainage and led to the formation of a polygon mire. Downward closed-system freezing of the talik is indicated by continuously decreasing δ18O (δD) values, a δ18O/δD-regression-slope below the Global Meteoric Water Line and a negative relationship between δD and D excess. \n \nOn the one hand, pollen assemblages in lake sediments have captured a regional signal of vegetation composition and climate. On the other hand, we assume that after lake drainage the pollen record represents a very local signal as it is dominated by the local plant communities growing in the IWP. Therefore, we suggest that the ability to infer regional climate information on temperature and precipitation is good for lake sediments but weak for the overlying peat record. This is indicated by a sudden dominance of Cyperaceae pollen after the transition from lake sediments into terrestrial peat of the IWP. \n \nOther IWP along the mainland coast of the Yukon suggest a high temporal diversity in polygon mire origin and behavior. IWP beyond the late Wisconsin glacial limit are mostly high-centered with strong signs of degradation. Coastal cliff exposures with deeply thawed ice wedge surfaces and secondary or even tertiary IW generations support this view. Ice wedge casts dating back until 8,400 cal BP (Fritz et al., 2012) indicate previous periods of ice wedge degradation and meltout. Intermediate forms of IWP (neither low-centered nor high-centered) dominate the mainland coast of the Yukon on the rolling ground moraines. Glacial outwash plains at the former glacial border host mostly low-centered IWP. On Herschel Island, we find many generations of IW and corresponding sedimentary records in the centers although IWP are not as frequent on the high-relief endmoraine, which is Herschel Island, than on the relatively flat mainland coast of the Yukon. Holocene IWP have mostly a surficial expression whereas the older late Wisconsin/Pleistocene/glacial IWP are often buried under a 0.7 to 1.5 m thick sediment cover. Higher than modern summer air temperatures, presumable during the Holocene thermal maximum, caused deeper thaw and led to a truncation of late Wisconsin/Pleistocene/glacial IW. This suggests that remote-sensing based estimations of arctic-wide IWP coverage will give conservative numbers as buried IWP systems will remain invisible. \n \nReferences \nFritz, M., Wetterich, S., Schirrmeister, L., Meyer, H., Lantuit, H., Preusser, F., Pollard, W.H., 2012. Eastern Beringia and beyond: Late Wisconsinan and Holocene landscape dynamics along the Yukon Coastal Plain, Canada. Palaeogeography, Palaeoclimatology, Palaeoecology 319–320, 28-45. doi:10.1016/j.palaeo.2011.12.015. \n \nMackay, J.R., 1972. The world of underground ice. Annals of the Association of American Geographers 62, 1-22. \n \nMinke, M., Donner, N., Karpov, N.S., de Klerk, P., Joosten, H. (2007). Distribution, diversity, development and dynamics of polygon mires: examples from Northeast Yakutia (Siberia), Peatlands International 1/2007, 36-40.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.028
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.243
Teacher spread0.210 · 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 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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