Evidence map›Paper›PMID 40675993›Full record

ArticleNature communications2025

No apparent state-dependency of equilibrium climate sensitivity between the Pleistocene glacial and interglacial climate states.

Jiawei Da, Yi Ge Zhang, Xiaoqing Liu, Daniel O Breecker, Gen K Li, Tianyu Chen, Junfeng Ji

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jiawei DaKey Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing, China.
Yi Ge ZhangState Key Laboratory of Deep Earth Processes and Resources (DEEPER), Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China. zhangyige@gig.ac.cn.ORCID http://orcid.org/0000-0001-7331-1246
Xiaoqing LiuDepartment of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0000-0001-7647-7364
Daniel O BreeckerDepartment of Earth and Planetary Sciences, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0003-0200-223X
Gen K LiDepartment of Earth Science, University of California, Santa Barbara, CA, USA.ORCID http://orcid.org/0000-0002-6300-3570
Tianyu ChenKey Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing, China.ORCID http://orcid.org/0000-0002-3061-7170
Junfeng JiKey Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing, China. jijunfeng@nju.edu.cn.ORCID http://orcid.org/0000-0003-3754-731X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42030503National Science Foundation (NSF) 2121325
6 · The paper itself

Abstract

Quantifying climate sensitivity is essential for future climate projections, yet it varies with major Earth system changes. We present a glacial CO₂ reconstruction using paleosols from the Chinese Loess Plateau, covering 2580 to 800 thousand years ago. A stepwise decline in glacial CO₂ levels from ~300 ppm to <200 ppm is observed. Our paleosol-based CO₂ estimates support the key role of atmospheric CO₂ in driving major climate transitions during the Pleistocene, such as the long-term global cooling and the amplification of the glacial cycles. Based on compiled glacial and interglacial CO

Identifiers

PMID40675993
PMCPMC12271442

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.