Evidence map›Paper›PMID 41358160›Full record

ArticleiScience2025

Spatiotemporal dynamics of vegetation carbon sink and its driving mechanisms in the Huaihai Economic Zone, China.

Chong Ma, Yu Zhang, Yuchen Wang, Keying Zhao

Abstract read
In one paragraph

Article in iScience, 2025. 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.

Chong MaInstitute of Land Resource, School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.
Yu ZhangInstitute of Land Resource, School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.
Yuchen WangSchool of Management Science and Engineering, Xuzhou University of Technology, Xuzhou 221018, China.
Keying ZhaoInstitute of Land Resource, School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to advance urban low-carbon transformation and foster a sustainable, livable environment. By utilizing MOD17A3 NPP and meteorological data, the net ecosystem production (NEP) of the Huaihai Economic Zone from 2001 to 2023 was estimated. The research used trend analysis, centroid migration models, the Hurst index, spatial autocorrelation, partial correlation, and the optimal parameter geographic detector (OPGD) to investigate the spatiotemporal evolution and driving mechanisms of NEP. Results indicate an overall increasing trend in NEP, with 57.62% of the region showing growth, although some areas experienced declines. Most areas (51.89%) display weak anti-persistence. Gross domestic product (GDP) and population density significantly account for its spatial heterogeneity. Based on these findings, the study recommends prioritizing ecological restoration in areas characterized by high volatility and weak anti-persistence and optimizing carbon sink strategies in regions where economic growth and vegetation conditions present synergistic advantages.

Indexed as

earth sciencesenvironmental monitoringenvironmental science

Identifiers

PMID41358160
PMCPMC12677174

What OpenQuestion holds

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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.