Evidence map›Paper›PMID 40140555›Full record

ArticleScientific reports2025

Spatial distribution and influencing factors of rural cultural ecosystem services: a case study of Fujian, China.

Congzhi Li, Ying Pan, Weilun Yin, Siren Lan

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
–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.

Congzhi LiCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Ying PanFaculty of Built Environment, University of Malaya, 50603, Kuala Lumpur, Malaysia.
Weilun YinCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100091, China.
Siren LanCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. lsr9636@fafu.edu.cn.

Funding

Support funds for the first batch of double creative talents in Fujian Province in the first stage K8615001A
6 · The paper itself

Abstract

Rural cultural ecosystem services (CES) play a pivotal role in enhancing rural well-being. This paper examines the spatial distribution patterns and influencing factors of rural CES in Fujian Province using the biterm topic model and geodetector. The results reveal that rural CES in Fujian Province comprise five categories: culture, leisure, aesthetic, spirit, and science, among which leisure, culture, and aesthetic categories are the most easily perceived by the public. In terms of spatial distribution, the northwestern regions of Fujian Province exhibit better than the southeastern regions in terms of culture, while the latter excel in terms of leisure. Regarding aesthetics, there is an overall trend of extensive dispersion with localized concentrations, with high-value areas primarily located in the southwestern region and the eastern coastal region of Ningde City. The high value areas in the spirit are concentrated in the central and northern regions of Fujian Province. The spatial distribution of science is relatively scattered, with more high-value areas observed in Sanming City and Fuzhou City. Road density, light index, and per capita disposable income demonstrate strong explanatory power in rural CES. These findings can guide targeted development of regional cultural services and address resource mismatches in rural areas of Fujian Province, thereby enhancing the well-being of rural residents.

Indexed as

CultureEcosystemRural PopulationChinaHumansSpatial AnalysisBTMCultural ecosystem serviceGeodetectorInfluencing factorsRural ecosystemSpatial distribution

Identifiers

PMID40140555
PMCPMC11947110

What OpenQuestion holds

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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.