Advances in Cryoplanation Terrace Research: Recent Contributions
Notice bibliographique
Résumé
Cryoplanation terraces (CTs) are large, staircase-like erosional features found in upland periglacial environments throughout the circum-Arctic region. They are ubiquitous in unglaciated Beringia. This presentation summarizes recent research on these features conducted in interior and western Alaska and northwestern British Columbia. The work falls into several categories: (1) Relative dating: Relative weathering indices (fracture counts, Cailleux roundness and flatness, Krumbein sphericity, rebound, and weathering rind thickness) were measured at a series of sites extending across eastern Beringia. Patterns of these indices indicate that inner treads were more recently exposed than distal locations. A model of time-transgressive CT development through nivation-driven scarp retreat addresses the removal of weathered material from terrace treads down side slopes through piping and gravity-driven mass-wasting processes. (2) Absolute dating: Several 10Be and 36Cl Terrestrial Cosmogonic Nuclide ages reveal that terrace scarps in the Alaskan Yukon-Tanana Upland were last actively eroding during the last glacial maximum (LGM). CT treads exhibit time-transgressive development. Boulder exposure ages and distances between sampled boulder locations were used to estimate rates of scarp retreat. The numerical exposure ages demonstrate that CTs are diachronous surfaces actively eroding during multiple cold intervals. (3) Landscape evolution: The unusual deglaciation history of “Frost Ridge” in northwestern British Columbia facilitates estimation of long-term denudation attributable to nivation processes since the LGM. Snowbanks accumulated and persisted in marginal drainage features on the ridge’s north-facing ridge flank, creating a series of CTs through nivation. Data obtained from an unmanned aerial vehicle were used to estimate the volumes of eroded material. Estimated erosion rates are comparable to short-term nivation rates reported from Antarctica and mid-latitude alpine periglacial areas. (4) Process monitoring: Soil thermal and moisture records, particle-size analysis, apparent thermal diffusivity calculations, and sediment-deposition patterns were used to examine periglacial processes operating on two active CTs. The coarse portions of sorted stripes function as underground channels (pipes) for sediment transportation across CT treads by flowing water. Late-lying snowbank environments are highly dynamic during warm weather, with large amounts of sediment transported over short periods. (5) Geomorphometry: Semi- and fully automated recognition algorithms (CTAR) were applied to high-resolution DEMs to identify the locations of CTs. CTAR achieved an overall accuracy of 90 percent. A strong linear relation exists between the size of CTAR-delimited terraces and those identified in a previous study. Hypsometric analysis was applied over extensive areas of eastern Beringia. Glaciated areas have hypsometric signatures distinctly different than those of cryoplanated terrain, across a spectrum of geographical scale. Results from fluvial morphometric analysis of a sorted-stripe field verifies the origins of such networks and their effectiveness for transporting water and suspended sediment across CT surfaces. (6) Climatic dependencies: Geospatial analysis involving nearly 700 CTs in eastern Beringia demonstrates that their elevation rises from Bering Sea islands to the Alaska-Canada border at rates nearly identical to those of Wisconsinan cirques, indicating close genetic links between the two classes of feature. Cryoplanation terraces can be considered the periglacial equivalent of glacial cirques.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,006 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».