Evidence map›Paper›PMID 41723150›Full record

ArticleScientific reports2026

Assessment of the spatiotemporal coupling relationship between ecological environment quality and tourist spatial activities in Qianjiangyuan National Park.

Xiaodong Chen, Chengzhao Wu

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

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

2 authors.

Xiaodong ChenCollege of Architecture and Urban Planning, Tongji University, Shanghai, China.
Chengzhao WuCollege of Architecture and Urban Planning, Tongji University, Shanghai, China. wuchzhao@163.com.

Funding

the National Natural Science Foundation of China No. 32071835
6 · The paper itself

Abstract

Balancing recreational services of national parks with the protection of ecological environment quality is essential for the sustainable use of natural resources. Taking Qianjiangyuan National Park as a case study, this study integrated remote sensing data, trajectories, and geotagged photos, and applied the remote sensing ecological index, a clustering algorithm, and the coupling coordination model to investigate the spatiotemporal coupling relationship between ecological environment quality and tourist spatial activities from 2017 to 2024. The results showed that: (1) The ecological environment quality of the study area remained generally high, with over 79.20% of the area classified as good and above. High-value areas were primarily located in the northwest and southern regions. In contrast, low-value areas were primarily located along the periphery, in residential zones, and adjacent to roads. (2) Tourist activities were primarily concentrated in forest ecosystem regions with high ecological and recreational value. The distribution of trajectories exhibited distinct seasonal patterns and a fluctuating trend from 2017 to 2024, characterized by an initial increase, a subsequent decline, and eventual recovery. The 18 areas of interest demonstrated a spatial distribution characterized by linear continuity and localized aggregation; (3) The ecological environment quality and tourist spatial activities generally exhibited strong coupling and basic coordination. High values were primarily observed in the northwest and southwest of the study area, while low values were concentrated in the northeast, central, and southern regions. These spatial patterns provide actionable insights for targeted management strategies to balance tourism utilization and ecological conservation in national parks.

Indexed as

Coupling coordinationEcological environment qualityGeotagged photosNational parksRemote sensing ecological index

Identifiers

PMID41723150
PMCPMC13021952

What Socratic holds

Textmetadata
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 Socratic graph.