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Record W4406376944 · doi:10.5194/egusphere-2024-3912

Phanerozoic paleoenvironmental and paleoclimatic evolution in Svalbard

2025· preprint· en· W4406376944 on OpenAlexafffund
Aleksandra Smyrak‐Sikora, Peter Betlem, Victoria S. Engelschiøn, William J. Foster, Sten‐Andreas Grundvåg, Mads E. Jelby, Morgan T. Jones, Grace E. Shephard, Kasia K. Śliwińska, Madeleine L. Vickers, Valentin Zuchuat, Lars Eivind Augland, Jan Inge Faleide, Jennifer M. Galloway, William Helland-Hansen, Maria Jensen, Erik P. Johannessen, Maayke Koevoets, Denise K. Kulhanek, Gareth Lord, Tereza Mosočiová, Snorre Olaussen, Sverre Planke, Gregory D. Price, Lars Stemmerik, Kim Senger

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsGeological Survey of Canada
FundersCommission Géologique du CanadaHorizon 2020Norges ForskningsrådDanmarks Frie ForskningsfondCarlsbergfondet
KeywordsGeologyPhanerozoicPaleontologySedimentary rockGeologic recordPaleoclimatologyEarth sciencePangaeaArcticPlate tectonicsOutcropClimate changeTectonicsStructural basinOceanographyCenozoicPermian

Abstract

fetched live from OpenAlex

Abstract. Sedimentary rocks can provide information about the Earth paleoenvironment and are studied extensively to understand the causes and consequences of global climate changes in deep time. They facilitate long-time perspectives that constrain climate models and provide analogues for how Earth systems may respond to, and recover from, intervals of profound environmental change, including projected anthropogenic change. The Norwegian Svalbard archipelago offers an extensive Phanerozoic stratigraphic record that reflects the geological evolution of the northern flanks of continental assemblages that include Laurentia, Eurasia, and Pangea. Svalbard’s Phanerozoic sedimentary and paleoclimatic archive is controlled largely by Svalbard’s overall northward plate-tectonic motion from equatorial to high latitudes, but also by regional to local formation of topography and basins in response to long-term plate reorganization, as well as the near- and far-field influence of large igneous province activity on the tectono-stratigraphic and paleoclimatic development. Various sedimentary and geochemical proxies, such as bentonite beds and carbon isotope excursions associated with the far-reaching environmental effects of the Siberian Traps, the High Arctic Large Igneous Province, and the North Atlantic Igneous Province are present in Svalbard’s near complete geological record. As such, Svalbard is unique in that these and numerous other global environmental perturbations are recorded within a relatively restricted study area, with most of the key events preserved and recorded in easily accessible drill cores and well-exposed outcrop sections. Here we review deep-time paleoenvironmental and paleoclimate research in Svalbard by summarizing 148 peer-reviewed scientific articles. The review builds on the well-established tectono-stratigraphic and lithostratigraphic framework, as well as state-of-the art environmental reconstructions to provide insights into the Earth system during the Phanerozoic northward drift of Svalbard and the many major biotic crises in the geological past. We focus on globally significant events including i) the expansion of Devonian vegetation, ii) the Carboniferous-Permian response to icehouse conditions during the Late Paleozoic Ice Age (LPIA), iii) the End-Permian Mass Extinction (EPME) and the subsequent Triassic recovery, the iv) Carnian Pluvial Episode, v) Jurassic-Early Cretaceous climate perturbations including the Volgian Isotopic Carbon Excursion (VOICE) and the Aptian Ocean Anoxic Event 1a (OAE1a), and vi) the Paleocene-Eocene Thermal Maximum (PETM). We present and synthesize existing core and outcrop data that preserve biological and geochemical proxies and climate sensitive sedimentary facies that reflect environmental change in terrestrial and marine settings. Finally, we discuss the Phanerozoic climate recorded in Svalbard and its role in providing high latitude calibration points for several global paleoclimate events to provide a higher latitude perspective to complement the dominance of mid- and low-latitude locations and datasets in the literature.

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 categoriesInsufficient 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 score0.029
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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.205
Teacher spread0.188 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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