Evidence map›Paper›PMID 40161344›Full record

SynthesisPeerJ2025

Distribution, characteristics, and importance of particulate and mineral-associated organic carbon in China forest: a meta-analysis.

Hao Cheng, Yangui Su, Zhengyi Huang, Sinuo Lin, Jingyi Yan, Guopeng Wu, Gang Huang

Abstract readMeta-Analysis
In one paragraph

Synthesis in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

Hao ChengSchool of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, China.
Yangui SuSchool of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, China.
Zhengyi HuangSchool of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, China.
Sinuo LinSchool of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, China.
Jingyi YanSchool of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, China.
Guopeng WuSchool of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, China.
Gang HuangSchool of Geographical Sciences, School of Carbon Neutrality Future Technology, Fujian Normal University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Forest soil organic carbon (SOC) plays a critical role in the global carbon cycle, and increasing long-term forest carbon storage is essential for carbon sequestration. However, the distribution and drivers of mineral-associated (MAOC) and particulate organic carbon (POC) in forest soils at a continental scale remain poorly understood. Methods: Using 540 data points from 59 studies related to POC, MAOC, and total SOC in China's forests, we analyzed the distribution of POC and MAOC across forest type, soil depth and soil type, and further investigated their influencing factors. Results: MAOC accounted for more than 63% of total SOC in forest soils. Both POC and MAOC increase with forest age, with mixed forests showing faster growth compared to monoculture forests. The MAOC/SOC ratio decreases with forest age but increases with soil depth, demonstrating the dominance of MAOC in deeper soils. Importantly, MAOC content continuously increases with SOC, and exhibits no upper limit, suggesting the potential for persistent soil carbon accumulation. MAOC is closely associated to microbial biomass carbon, and POC is mainly related with plant litter biomass. Conclusion: MAOC and POC are influenced by different environmental factors and display distinct distribution patterns across forest types and soil depths. Thus, differentiating their respective responses to climate change is essential. The carbon sequestration potential of forests in China remains far from saturation.

Indexed as

CarbonForestsMineralsParticulate MatterSoilBiomassCarbon CycleCarbon SequestrationChinaClimate ChangeCarbonMineralsParticulate MatterSoilCarbon sequestrationEnvironmental driversForest ageSoil carbon fractionsSoil depth

Identifiers

PMID40161344
PMCPMC11954463

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.