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Record W569661110

Lake archives in Canada and Alaska: Do we see effects of polar climate change during the Early Holocene?

2012· article· en· W569661110 on OpenAlexaboutno aff
Josefine Lenz, Michael Fritz, Sebastian Wetterich, Lutz Schirrmeister, Hugues Lantuit, Wayne H. Pollard

Bibliographic record

VenueHelmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostHoloceneThermokarstArcticPhysical geographyClimate changeGeologyGlacial periodHolocene climatic optimumEnvironmental changeOceanographyRadiocarbon datingBefore PresentPeriod (music)GeographyPaleontology
DOInot available

Abstract

fetched live from OpenAlex

Terrestrial deposits provide valuable information about past landscape development in the Arctic. Especially lake sediments as continuous records are highly important to comprehend the post-glacial dynamic of the periglacial environment in northern Canada and Alaska. It is crucial to evaluate already studied and published paleoenvironmental archives as well as to fill gaps of knowledge to gain a better understanding of the past, present and future polar climate change. \nVarious literary sources were studied to get an overall picture of climate records in the North American Arctic. Since environmental archives are relatively rare in the western Canadian Arctic a lake sediment record from Herschel Island (Yukon Territory) was analyzed as a case study using radio carbon age determination and several sedimentological and geochemical methods. \nMany authors draw the conclusion that a progressive amelioration of climate conditions with warmer-than-modern levels of air temperatures was reached during the period of 11,000 to 8,500 cal. a BP in the western Canadian Arctic and Alaska (e.g. Szeicz and MacDonald 2001, Bigelow and Edwards 2001). Also Herschel Island’s lake archive demonstrate an early Holocene warming by about 10,300 to 8,800 cal. a BP: variations in nitrogen, total organic carbon content and stable carbon isotopes indicate the lake onset by pooling of water and thaw subsidence of the ice-rich permafrost. \nThe Pleistocene-Holocene transition was a period of dramatic and rapid environmental changes, particularly at coastal sites. The formation of thermokarst lakes in permafrost regions was extremely intense during the Holocene Thermal Maximum (HTM). On the coastal plain in the western Canadian Arctic thermokarst lakes developed especially between 11,600 and 10,300 a BP (Rampton 1988) – so did the lake on Herschel Island in all likelihood. According to Kaufman et al. (2004) the HTM was time-transgressive, which means the western Canadian Arctic warmed earlier (11,300+/-1,500 a BP) than northern continental Canada (7,300+/-1,600 a BP). Also the duration of the HTM in eastern Canada was about 1,000 years shorter. Both can be explained due to the remnants of the Laurentide Ice Sheet and the cooling effect of the Greenland ice cap. \nThe overall pattern of Holocene climate change is expressed in several records in the North American Arctic. We are recently noticing thermokarst processes and effects of permafrost degradation due to global climate change. Thus, understanding the past environmental effects on polar landscapes and especially on lake systems is extremely valuable to appraise present und future polar climate change. \nReferences: \nBigelow, N.H.; Edwards, M.E. (2001). A 14000 yr paleoenvironmental record from Windmill Lake, Central Alaska: Lateglacial and Holocene vegetation in the Alaska range. Quaternary Science Reviews, 20: 203-215. \nKaufman, D.S.; Ager, T.A.; Anderson, N.J. et al (2004). Holocene thermal maximum in the western Arctic (0-180°W). Quaternary Science Reviews, 23: 529-560. \n \nRampton, V.N. (1988). Quaternary geology of the Tuktoyaktuk Coastlands, Northwest \nTerritories. Geological Survey of Canada. Memoir, 423. \nSzeicz, J.M.; MacDonald, G.M. (2001). Montane climate and vegetation dynamics in \neasternmost Beringia during the Late Quaternary. Quaternary Science Reviews, 20: 247-257.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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