Evidence map›Paper›PMID 41764358›Full record

ArticleScientific reports2026

Analysis of the evolution and spatial effects of green space pattern in China's urbanization process: a case study of Guangzhou City.

Miao Lian, Jinye Wang, Xingwang Zhang

Abstract read
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

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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

3 authors.

Miao LianSchool of Tourism and Landscape Architecture, Guilin University of Technology, Guilin, 541006, China.
Jinye WangSchool of Tourism and Landscape Architecture, Guilin University of Technology, Guilin, 541006, China.
Xingwang ZhangSchool of Business, Guilin University of Technology, Guilin, 541006, China. 2008034@glut.edu.cn.

Funding

National Social Science Fund of China 25BTQ002
6 · The paper itself

Abstract

During rapid urbanization, the total area of green space in Guangzhou remained relatively stable; however, its spatial structure changed substantially. Green space became increasingly fragmented, patch shapes grew more complex, and overall connectivity declined, indicating a systematic degradation of green space structure rather than a simple reduction in area. Land-use transition analysis shows that the continuous conversion of farmland and grassland into construction land was the dominant process driving green space fragmentation during the study period. This suggests that urban expansion primarily reshaped the internal configuration of green space instead of directly reducing its total extent. Spatial econometric results reveal significant spatial dependence in green space dynamics, as indicated by a positive and significant spatial lag coefficient in the spatial Durbin model, highlighting strong interregional interactions. Further decomposition of spatial effects indicates heterogeneous driving mechanisms: urbanization intensity, measured by nighttime light intensity, exerts a negative indirect effect, whereas population density and per capita GDP exhibit positive direct and indirect effects. Overall, the results support a "development pressure-ecological response" mechanism, in which urban expansion generates structural degradation and negative spatial spillovers, while socioeconomic agglomeration may, under certain conditions, produce compensatory or synergistic effects on regional green space systems.

Indexed as

Green space patternGuangzhou CityLand use transition matrixSpatial Durbin modelUrbanization

Identifiers

PMID41764358
PMCPMC13049172

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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.