Evidence map›Paper›PMID 42437023›Full record

ArticleEnvironmental science and ecotechnology2026

Anthropogenic disturbance decouples coastal soil organic carbon and bulk density.

Feixue Shen, Lin Yang, Xiuqiang Peng, Dianpeng Li, Chenconghai Yang, Yue Pu, Mao Guo, Yuru Yan, Chenghu Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental science and ecotechnology, 2026. 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

9 authors.

Feixue ShenXiangyang Institute of History and Culture & Hanjiang Institute, Hubei University of Arts and Science, Xiangyang, 441053, China.
Lin YangSchool of Public Administration and Policy, Renmin University of China, Beijing, 100872, China.
Xiuqiang PengKey Laboratory of Coastal Salt Marsh Ecosystems and Resources, Ministry of Natural Resources, Nanjing, 210007, China.
Dianpeng LiXiangyang Institute of History and Culture & Hanjiang Institute, Hubei University of Arts and Science, Xiangyang, 441053, China.
Chenconghai YangSchool of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China.
Yue PuSchool of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China.
Mao GuoSouthern Marine Science and Engineering Guangdong Laboratory, Guangzhou, 511458, China.
Yuru YanKey Laboratory of Coastal Salt Marsh Ecosystems and Resources, Ministry of Natural Resources, Nanjing, 210007, China.
Chenghu ZhouSchool of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coastal blue carbon ecosystems play a pivotal role in mitigating global climate change through rapid sediment burial and efficient carbon preservation. However, accurate carbon accounting is severely hindered by the systematic neglect of soil bulk density (BD) variations and the uncritical reliance on terrestrial-derived pedotransfer functions, masking hidden uncertainties in regional carbon stock assessments. Here we present a high-resolution, multi-depth assessment of soil organic carbon (SOC) content and BD across a 1-m vertical gradient in the intensively managed coastal zone of Jiangsu Province, China. Machine learning frameworks reveal a striking spatial and vertical decoupling between SOC and BD driven by divergent environmental controls: SOC content responds to soil depth and ocean salinity, whereas BD aligns with hydro-geomorphic distance to the coast. Vegetation mediates a tight vertical negative coupling (

Indexed as

Coastal soilDigital soil mappingMachine learningSpatial heterogeneityVertical sampling

Identifiers

PMID42437023
PMCPMC13355218

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.