Evidence map›Paper›PMID 29610313›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Constraining the climate and ocean pH of the early Earth with a geological carbon cycle model.

Joshua Krissansen-Totton, Giada N Arney, David C Catling

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
21.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 343 citations in OpenAlex.

  1. Review
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  5. Abiotic CONature communications · 2026
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  17. Chemical Antiquity in Metabolism.Accounts of chemical research · 2024
    Article
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  20. Review

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Joshua Krissansen-TottonDepartment of Earth and Space Sciences, University of Washington, Seattle, WA 98195; joshkt@uw.edu.
Giada N ArneyVirtual Planetary Laboratory Team, NASA Astrobiology Institute, Seattle, WA 98195.
David C CatlingDepartment of Earth and Space Sciences, University of Washington, Seattle, WA 98195.ORCID 0000-0001-5646-120X
NASA Astrobiology Institute · USGoddard Space Flight Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early Earth's environment is controversial. Climatic estimates range from hot to glacial, and inferred marine pH spans strongly alkaline to acidic. Better understanding of early climate and ocean chemistry would improve our knowledge of the origin of life and its coevolution with the environment. Here, we use a geological carbon cycle model with ocean chemistry to calculate self-consistent histories of climate and ocean pH. Our carbon cycle model includes an empirically justified temperature and pH dependence of seafloor weathering, allowing the relative importance of continental and seafloor weathering to be evaluated. We find that the Archean climate was likely temperate (0-50 °C) due to the combined negative feedbacks of continental and seafloor weathering. Ocean pH evolves monotonically from [Formula: see text] (2σ) at 4.0 Ga to [Formula: see text] (2σ) at the Archean-Proterozoic boundary, and to [Formula: see text] (2σ) at the Proterozoic-Phanerozoic boundary. This evolution is driven by the secular decline of pCO

Indexed as

carbon cycleocean pHpaleoclimatePrecambrianweathering

Identifiers

PMID29610313
PMCPMC5910859
OpenAlexW2796394497

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.