Evidence map›Paper›PMID 40593086›Full record

ArticleScientific reports2025

Evolution and driving mechanisms of eco-environmental quality across different urbanization stages.

Zhenfang He, Qingchun Guo, Zhaoxin Yin, XinPing Luo, Miaomiao Sun

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.

Zhenfang HeSchool of Geography and Environment, Liaocheng University, Liaocheng, 252000, People's Republic of China. hezhenfang@lcu.edu.cn.
Qingchun GuoSchool of Geography and Environment, Liaocheng University, Liaocheng, 252000, People's Republic of China.
Zhaoxin YinSchool of Geography and Environment, Liaocheng University, Liaocheng, 252000, People's Republic of China.
XinPing LuoComprehensive Survey Command Center for Natural Resources, China Geological Survey, Beijing, 100055, People's Republic of China.
Miaomiao SunSchool of Geography and Environment, Liaocheng University, Liaocheng, 252000, People's Republic of China.

Funding

National Natural Science Foundation of China (NSFC) Joint Fund for Earth Sciences U2444217Shandong Provincial Natural Science Foundation ZR2023MD075
6 · The paper itself

Abstract

Beijing, Tianjin, Hebei, Shandong, and Henan (BTHSH) represent a major urban and economic hub in China, with significant implications for environmental protection. This study utilizes the remote sensing ecological index (RSEI) derived from Landsat imagery, with data spanning from 1985 to 2020 at five-year intervals, to evaluate spatiotemporal variations in eco-environmental quality across different phases of urbanization. The Geographical Detector, integrating natural, socio-economic, and nighttime light data, was used to analyze the driving factors and their interactions. Results indicate a general decline in areas with moderate to excellent eco-environment quality, from 90.44% in 1985 to 83.06% in 2020. Urbanization and socio-economic factors have increasingly influenced environmental degradation, particularly in coastal cities. The spatial distribution of eco-environmental quality became more directional after 2011, with a marked decrease in spatial autocorrelation. The predicted improvement regions in eco-environmental quality, based on the combination of the Theil-Sen and Hurst index methods, corresponds to an area percentage of 16.48% in Beijing, 12.6% in Tianjin, 13.08% in Shandong, 22.09% in Hebei, and 23.93% in Henan, respectively. During the rapid urbanization phase (1985-2010), the primary drivers of eco-environmental quality evolution were natural factors. However, in the quality development phase (2010-2020), the interaction between natural factors and socio-economic factors increasingly influenced eco-environmental quality. Identifying the spatiotemporal heterogeneity of eco-environmental quality distribution and its driving factors across different stages of urbanization is of significant theoretical and practical importance for enhancing the ability of urban ecosystems to respond to urbanization risks and achieve sustainable development.

Indexed as

GDPGeographical detector modelNight light indexRemote sensing ecological index (RSEI)Urbanization

Identifiers

PMID40593086
PMCPMC12216039

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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.