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Record W4322004735 · doi:10.5194/egusphere-egu23-9965

Paleoenvironmental Factors Controlling Organic Carbon Sequestration in Neoproterozoic Deep-Marine Levees

2023· preprint· en· W4322004735 on OpenAlexaffabout
Celeste M. Cunningham, Simona Ruso, W. P. Arnott

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsWestern UniversitySt. Francis Xavier UniversityUniversity of Ottawa
Fundersnot available
KeywordsTotal organic carbonGeologyOrganic matterWeatheringOrganic geochemistryKerogenGeochemistryCarbon fibersTurbiditeCarbon cyclePaleontologySedimentary rockEcosystemSource rockEnvironmental chemistryStructural basin

Abstract

fetched live from OpenAlex

Levees in modern deep-marine systems have been shown to sequester significant amounts of organic carbon, due largely to their wide expanse and high rates of sedimentation. However, relatively few studies have examined organic carbon sequestration in ancient deep-marine leveed slope channel systems. Examining the distribution of organic material in ancient levee deposits could provide insight into paleoenvironmental conditions and the evolution of ancient ocean and climate systems.Deep marine levee deposits of the Neoproterozoic Windermere Supergroup are exceptionally well-exposed in the Southern Canadian Cordillera of western Canada, where detailed physical description and stratigraphic logging were combined with total organic carbon (TOC) and X-ray fluorescence (XRF) to evaluate trends in the distribution of organic carbon and elemental composition within a 300 m-thick succession. These geochemical analyses were then used to reconstruct paleoenvironmental conditions such as primary productivity, ocean redox, weathering intensity, and detrital flux. In this succession, TOC ranges from < 0.1% to 4.04% (uncorrected for the effects of greenschist metamorphism). Organic-rich strata, taken to be ≥ 1% TOC, are principally confined to a single 60 m-thick stratigraphic interval, where they typically occur as anomalously thick, mud-rich sandstone turbidites. Organic matter in these beds occurs mostly as micro-scale carbon sorbed onto the surface of clay grains but can also occur as uncommon sand-sized organomineralic aggregates or discrete sand-sized amorphous grains.In this same interval, trends in elemental data indicate an increase in primary productivity, weathering intensity, and detrital influx, and a decrease in ocean oxygenation levels. These data suggest that intense continental weathering, high terrigenous input, elevated sea level, and relatively low oxygenation conditions all act to enhance organic matter production in shallow marine environments and organic matter accumulation and preservation in the deep marine. However, although all these components contributed to increased organic production, accumulation, and preservation on their own, the results of this study suggest that it is the temporal coincidence of all of them in a “perfect storm” that is required for significant organic carbon enrichment. Additionally, because these strata are Neoproterozoic in age the preserved organic matter is exclusively marine in origin, which then raises the possibility that the conditions described here are unique to deep-sea turbidite systems before the evolution of metazoans or terrestrial plants. By studying the geochemical trends of both organic-rich and organic-poor rocks in this ancient outcrop, this study helps to elucidate the role of various paleoenvironmental factors in deep-marine organic matter enrichment throughout geologic time. This will ultimately improve our understanding of the complex interplay of physical, chemical, and biological processes that govern marine sedimentation and their relationship with the carbon cycle and past global climate, particularly in systems that pre-date terrestrial vegetation.

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)0.000
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 score0.125
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.021
GPT teacher head0.225
Teacher spread0.203 · 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
Published2023
Admission routes2
Has abstractyes

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