Evidence map›Paper›PMID 42624942›Full record

ArticleScientific reports2026

Assessing land use and carbon stock dynamics coupled with the PLUS-InVEST-OMGD model: a multi-scenario simulation in Sichuan Province, China.

Lin Zhong, Yuxuan Ma, Fanlei Meng, Dexin Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

4 authors.

Lin ZhongCollege of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, 450046, China.
Yuxuan MaCollege of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, 450046, China.
Fanlei MengCollege of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, 450046, China.
Dexin LiuCollege of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, 450046, China. dxliu@vip.henu.edu.cn.ORCID https://orcid.org/0000-0001-8471-0912

Funding

Natural Science Foundation of Henan Province 252300421461Science and Technology Innovation Leading Talent Support Program of Henan Province 254000510057
6 · The paper itself

Abstract

Predicting future carbon stock dynamics under different development scenarios is crucial for balancing regional economic growth with ecological protection and achieving sustainable development. Taking Sichuan Province as a case study, this study established a framework combining PLUS-InVEST-OMGD (Optimal Multivariate-Stratification Geographical Detector) model to assess changes in carbon stock and their driving factors from 2000 to 2020, and to predict carbon stock for 2040 and 2060 under three scenarios: the Natural Trend Scenario (NTS), Economic Priority Scenario (EPS), and Ecological Conservation Scenario (ECS). The results show the following: (1) Between 2000 and 2020, the carbon stock in Sichuan Province decreased by 32.61 × 10

Indexed as

Carbon stockLand use changeMulti-scenario predictionOptimal multivariate-stratification geographical detector model

Identifiers

PMID42624942
PMCPMC13493805

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.