Evidence map›Paper›PMID 40825953›Full record

ArticleScientific reports2025

Spatiotemporal changes in habitat quality and driving factors in South Hunan mining urban agglomerations, China.

Yiming Song, Xin Li, Yanlin Yin, Chao Zhao, Hongzhou Wang, Ziqi Cai, Zhe Dai, Yonghong Liu

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. Not yet cited in PubMed.

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

8 authors.

Yiming Song *Academy of Arts and Design, Tsinghua University, Beijing, 100084, China.
Xin Li *College of Forestry, Beijing Forestry University, Beijing, 100083, China.
Yanlin YinSchool of Design, Hunan University, Changsha, 410082, China.
Chao ZhaoAcademy of Arts and Design, Tsinghua University, Beijing, 100084, China.
Hongzhou WangSchool of National Safety and Emergency Management, Beijing Normal University, Beijing, 100875, China.
Ziqi CaiStudent Mental Health Education Center, Hunan University of Technology and Business, Changsha, 410205, China.
Zhe DaiSchool of Design, Hunan University, Changsha, 410082, China.
Yonghong LiuSchool of Design, Hunan University, Changsha, 410082, China. liuyh@hnu.edu.cn.

Funding

China Postdoctoral Science Foundation 2024M761587Key Research and Development Program of Hunan Province 2024JK2025
6 · The paper itself

Abstract

The development of urban agglomerations driven by the mining industry inevitably impacts regional habitat quality. Understanding how habitat quality evolves over time and space, as well as identifying the key driving factors in mining urban agglomerations, is essential for developing sustainable policies and maintaining ecological security. This study evaluates the spatiotemporal changes in habitat quality from 1990 to 2020 via the InVEST model, forecasts habitat quality in 2040 under various development scenarios via the PLUS model, and investigates the factors contributing to these changes. The results revealed that from 1990 to 2020, areas of forestland, cultivated land, and grassland initially increased before declining, whereas areas of construction land and water bodies continuously expanded, with construction land primarily replacing cultivated land and forestland. The average habitat quality ranged from 0.72 to 0.82 during this period, showing an overall increase followed by a decline, with lower habitat quality found in the central areas and higher quality in the surrounding regions. Additionally, habitat quality exhibited significant spatial autocorrelation, with a slow expansion of low-habitat-quality clusters. Under all three development scenarios for 2040, the region is expected to remain dominated by cultivated land and forest, but with a notable expansion of built-up areas compared with that in 2020. Habitat quality is predicted to decrease by 2040, with an increase in worst-grade areas. On the basis of random forest and geodetector analyses, the main drivers of habitat quality are elevation, slope, and population density, with the most significant interactions occurring between population density and elevation, followed by interactions between nighttime light intensity and elevation and between population density and slope. These results suggest that habitat quality in the region is influenced primarily by the interplay of topography, human development, and economic activities. This study provides valuable insights for the construction of an ecological security framework for mining urban agglomerations.

Indexed as

Future scenario modelingHabitat qualityKey driversMining urban agglomerationsTrend analysis

Identifiers

PMID40825953
PMCPMC12361402

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