Evidence map›Paper›PMID 41436833›Full record

ArticleScientific reports2025

Responding to climate change: assessing the current situation and influencing factors of forest carbon sinks in China.

Lidong Shi, Ming Xu, Yuntao Tan, Yucen Wu, Jiahui Zhao

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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Lidong ShiSchool of National Security, Southwest University of Political Science and Law, Chongqing, China.
Ming XuSchool of National Security, Southwest University of Political Science and Law, Chongqing, China.
Yuntao TanCollege of Business Administration, Chongqing Technology and Business University, Chongqing, China.
Yucen WuLegal Affairs Department, Chongqing People's Hospital, Chongqing, China.
Jiahui ZhaoSchool of National Security, Southwest University of Political Science and Law, Chongqing, China. b2023140200171@stu.swupl.edu.cn.

Funding

the Research Center for Social Governance Innovation SHZLQN2404the Sichuan Police Law Enforcement Research Center 24SKJD010
6 · The paper itself

Abstract

In response to global climate change and China's "dual carbon" goals, forest carbon sinks, as a key nature-based solution, have gained importance in balancing human-induced carbon emissions and ecological restoration. This study examines the effectiveness of forest carbon sinks across 31 Chinese provinces from 2003 to 2018, using the forest stock expansion method to quantify the validity of carbon sinks. We explore the spatiotemporal evolution and regional disparities of forest carbon sink validity and identify the influence of research and development intensity, industrial structure upgrading, urbanisation level, government intervention degree, and economic development level factors. A spatial Durbin model is employed to assess both direct and indirect effects of natural and policy factors on the carbon sink's effectiveness in both local and neighbouring provinces. Our findings reveal that forest carbon sink effectiveness follows a pattern of "higher in the west, faster in the east, and catching up in the central region". The results indicate that increased research and development investment and optimised industrial structure positively influence carbon sink growth, whereas excessive government intervention hampers development. Urbanisation and economic development were found to have no significant direct effect. The spatial analysis shows that research and development intensity and industrial optimisation yield positive spillover effects on neighbouring provinces' carbon sink growth, whereas government intervention and urbanisation yield negative, non-significant spillover effects. These findings suggest the need for strengthened regional innovation policies, improved forestry governance, and optimised forestry services to support the high-quality development of the forestry sector.

Indexed as

Forest carbon sink validitySpatial Durbin modelSpatial spillover effectSpatiotemporal heterogeneity

Identifiers

PMID41436833
PMCPMC12835528

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.