Evidence map›Paper›PMID 42519043›Full record

ArticleiScience2026

Estimating soil organic carbon density in mangroves of different stand ages using multi-source remote sensing and machine learning.

Zongzhu Chen, Tiezhu Shi, Yun Zeng, Zhensheng Wang, Xiaoyan Pan, Tingtian Wu, Xiaohua Chen, Yiqing Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 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

8 authors.

Zongzhu ChenHainan Academy of Forestry, Haikou 571100, China.
Tiezhu ShiState Key Laboratory of Subtropical Building and Urban Science & Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Shenzhen University, Shenzhen 518060, China.
Yun ZengState Key Laboratory of Subtropical Building and Urban Science & Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Shenzhen University, Shenzhen 518060, China.
Zhensheng WangDepartment of Strategic and Advanced Interdisciplinary Research, Peng Cheng Laboratory, Shenzhen 518060, China.
Xiaoyan PanHainan Academy of Forestry, Haikou 571100, China.
Tingtian WuHainan Academy of Forestry, Haikou 571100, China.
Xiaohua ChenHainan Academy of Forestry, Haikou 571100, China.
Yiqing ChenHainan Academy of Forestry, Haikou 571100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mangrove ecosystems are highly efficient natural carbon sinks, yet quantifying soil organic carbon density (SOCD) across stand ages is critical for evaluating restoration benefits. This study integrated WorldView-2, LiDAR, and Sentinel-1 SAR data with machine learning to map SOCD in Qinglan Harbor, China. eXtreme Gradient Boosting achieved the highest accuracy (

Indexed as

Aquatic scienceEcologyGlobal carbon cycleMachine learningOceanographyRemote sensingSoil science

Identifiers

PMID42519043
PMCPMC13382337

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.