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Enregistrement W2294439457

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

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

Notice bibliographique

RevueHelmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · 2015
Typearticle
Langueen
DomaineEarth and Planetary Sciences
ThématiqueClimate change and permafrost
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPermafrostGeologyIce wedgeArcticThermokarstPhysical geographyAggradationIce coreRadiocarbon datingTundraGeomorphologyOceanographyPaleontologyStructural basinFluvialGeography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,057

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,004
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,033
Tête enseignante GPT0,243
Écart entre enseignants0,210 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

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