Evidence map›Paper›PMID 40065001›Full record

ArticleScientific reports2025

Constraints of weathering intensity in different climate zones on coal accumulation environment.

Xiaoping Mao, Xiurong Chen, Zhijing Wang, Fan Yang, Shuxian Li, Yuexing Yang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Xiaoping MaoChina University of Geosciences (Beijing), Beijing, 100083, China. maoxp@cugb.edu.cn.
Xiurong ChenTsinghua University, Beijing, 100084, China.
Zhijing WangChina University of Geosciences (Beijing), Beijing, 100083, China.
Fan YangChina University of Geosciences (Beijing), Beijing, 100083, China.
Shuxian LiChina University of Geosciences (Beijing), Beijing, 100083, China.
Yuexing YangChina University of Geosciences (Beijing), Beijing, 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are currently multiple hypotheses regarding coal accumulation models, each with certain limitations in applicability. This article investigates the relationship between modern sedimentation, soil and climate to analyze the distribution of coal across different geological periods, aiming to explain the coal accumulation environment within a unified theoretical framework. The research concludes that the intensity of weathering in various climate zones is a determining factor influencing coal formation, which also affects the distribution of two other climate-sensitive sedimentary deposits - evaporite and bauxite. These three types of sedimentary minerals can be considered as paleoclimatic indicators: cold and humid, warm and dry, and hot and humid. Furthermore, the impact of temperature on the mineralization of organic matter is significantly greater than that of redox conditions; in general, the mineralization of organic matter in high-temperature environments at mid-to-low latitudes exceeds productivity, resulting in low carbon sequestration rates. The conclusion drawn is that the optimal environment for peat or coal enrichment exists in a cold-humid climate zone characterized by low primary productivity, rather than in a tropical zone with high primary productivity. Additionally, the latitudinal shifts of cold temperate climate-controlled coal distribution, and the sediment types in these three climate zones sufficiently constrain coal-forming environments.

Indexed as

Climate zoneCoal accumulationEvaporitePrimary productivityRedbed

Identifiers

PMID40065001
PMCPMC11893734

What OpenQuestion holds

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Registered trials

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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.