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Record W4226435510 · doi:10.1093/nsr/nwac049

A link between the destruction of the mantle root beneath the North China Craton and the Cretaceous Greenhouse

2022· article· en· W4226435510 on OpenAlexaff
D. Graham Pearson

Bibliographic record

VenueNational Science Review · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCretaceousCratonChinaGeologyGreenhouseMantle (geology)Earth scienceGeochemistryPaleontologyBiologyGeographyArchaeologyBotanyTectonics

Abstract

fetched live from OpenAlex

The carbon dioxide level in Earth's atmosphere has long been recognized as a key driver of modern climate. However, the amount of carbon trapped in the solid Earth constitutes over 99.99% of all Earth's carbon and thus dwarfs that in the atmosphere. Recognition of the key role played by this vast source of CO2 has increased our need to understand the interplay between the solid Earth and the atmosphere [1]. Cratons are the oldest features of Earth's dynamic surface, containing the oldest exposed rocks, underpinned by strong lithospheric keels at least 150 km thick [2]. This thick lithosphere, stable for >Gyr time periods, is a long-term sink for many elements, including carbon, that can be subsequently reactivated if the cratonic lithosphere is destroyed via redox processes [3]. Cratons sometimes lose their stability through modification of their mantle roots. One of the most striking examples of a ‘modified craton’—in the terminology of Pearson et al. [2]—is the North China Craton, or NCC, which lost its deep mantle lithospheric root, in the eastern portion of the craton, in Phanerozoic times [4]. In a novel study, Wang et al. [5] assemble a compelling and diverse array of evidence for the major release of CO2 during the destruction of much of the lithosphere beneath the NCC. First, they establish that the ancient, thick, pre-Cretaceous lithosphere beneath the eastern portion of the NCC must have contained a significant amount of carbon, from eons of metasomatic enrichment, culminating in the multiple subduction episodes witnessed by this craton in the Phanerozoic. These events led to enrichment of the lithosphere with subducted carbonates, as revealed by magnesium isotopes—a now well-established tracer of recycled ocean sediment carbonate—in the volcanic lamprophyres produced through melting this carbonate. Some lamprophyres, such as the ultramafic lamprophyre group, contain obvious carbon through the carbonate they contain (Fig. 1). Through spectroscopic analysis of gas bubbles within tiny melt inclusions in NCC lamprophyres, Wang et al. [5] show that these rocks contained up to 2 wt% CO2. Typical basalts have only a few hundred ppm CO2. Therefore, the NCC lamprophyres, produced through lithospheric melting, are very CO2 rich. Wang et al. [5] show that the timing of the eruption of these magmas along with associated crustal heating would have resulted in enormous volumes of CO2 released into the early Cretaceous atmosphere, likely accentuating the ‘Cretaceous Greenhouse’ episode. Carbonate-rich ultramafic lamprophyre from southwest Greenland. White specks are carbonate. Field of view: 25 cm. This remarkable result [5] leads to obvious interest in whether the lithospheric root destruction events associated with numerous other modified cratons, for example those shown in ref. [2], may have also made contributions to ancient spikes in atmospheric CO2, and whether these events might be detected in the geological and geochemical records that we are increasingly able to read at high fidelity. The study by Wang et al. [5] will act as the trigger for future work. Conflict of interest statement. None declared.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.013
GPT teacher head0.232
Teacher spread0.218 · 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

Citations1
Published2022
Admission routes1
Has abstractno

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