Evidence map›Paper›PMID 38789505›Full record

ArticleScientific reports2024

Construction and optimization of Green Infrastructure Network in mountainous cities: a case study of Fuzhou, China.

He Huang, Danling Fu, Guochang Ding, Chen Yan, Xiangcai Xie, Yaling Gao, Qunyue Liu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

He HuangCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Danling FuCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Guochang DingCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Chen YanCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Xiangcai XieCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Yaling GaoFujian University of Technology, Fuzhou, 350118, China. gaoyal@fjut.edu.cn.
Qunyue LiuFujian University of Technology, Fuzhou, 350118, China. fjlqy@fjut.edu.cn.

Funding

Fujian Provincial Department of Education Kla21012AFujian Provincial Social Science Foundation FJ2022BF063
6 · The paper itself

Abstract

Green infrastructure networks enhance the protection and improvement of urban ecological environments, augment the efficiency and quality of ecosystem services, and furnish residents with healthier and more comfortable living conditions. Although previous research has investigated the construction or optimization methods of green infrastructure networks, these studies have been relatively isolated and lacking in case studies for mountainous cities. In the development of green infrastructure, mountainous cities must specifically consider the impact of terrain on network construction. Taking Fuzhou, a mountainous city in China, as an example, this study constructs and optimizes the green infrastructure network by employing morphological spatial pattern analysis, connectivity analysis, the Minimum Cumulative Resistance model, and circuit theory. These methodologies increase the connectivity of the Green Infrastructure within the study area, thereby promoting the health of the local ecosystem and creating conducive circumstances for the city's sustainable development. The findings reveal that: (1) Green infrastructure in Fuzhou takes up 5366.38 ha, constituting 21.76% of the study area, primarily situated in the northwest and south; (2) Fuzhou's Green Infrastructure network comprises 10 hubs and 17 corridors with a hub area of 1306.98 ha, predominantly distributed in the mountains encircling the city, including Meifeng Mountain, Gaogai Mountain, and Qingliang Mountain; (3) Based on optimization, the circuit centrality index categorizes hub importance into three protection levels, pinpointing nine crucial protected areas in the corridors and 680 areas requiring enhancement, including 68 areas for first-level improvement, 149 areas for second-level improvement, and 463 areas for third-level improvement. This research offers a methodological reference for constructing and optimizing green infrastructure networks in mountainous cities, providing both theoretical and practical foundations for optimizing green infrastructure networks in Fuzhou City.

Indexed as

Circuit theoryGreen infrastructure networkMorphological spatial pattern analysisMountainous cities

Identifiers

PMID38789505
PMCPMC11126408

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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.