Evidence map›Paper›PMID 41350333›Full record

ArticleScientific reports2025

Vulnerability-based analysis of traditional village distribution in Northwest Yunnan as an ecologically fragile area.

Ruiqu Ma, Linyue Liu, Jian Xu, Milun Yang, Genyu Xu, Huirong Yang, Ming Ma

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 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

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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

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.

Ruiqu MaSchool of Architecture and Urban Planning, Yunnan University, Kunming, 650500, China. marq2020@ynu.edu.cn.
Linyue LiuSchool of Architecture and Urban Planning, Yunnan University, Kunming, 650500, China.
Jian XuSchool of Architecture and Urban Planning, Yunnan University, Kunming, 650500, China.
Milun YangSchool of Architecture and Urban Planning, Yunnan University, Kunming, 650500, China.
Genyu XuSchool of Architecture and Urban Planning, Yunnan University, Kunming, 650500, China.
Huirong YangSchool of Architecture and Urban Planning, Yunnan University, Kunming, 650500, China.
Ming MaSchool of Architecture and Urban Planning, Yunnan University, Kunming, 650500, China.

Funding

Applied Basic Research Foundation of Yunnan Province 202301AT070177Yunnan Office of Philosophy and Social Science QN202309
6 · The paper itself

Abstract

Traditional villages in Northwest Yunnan represent complex socio-ecological systems navigating the dual challenges of ecological fragility and rapid socio-economic transformation. This study examines how vulnerability patterns shape the spatial distribution of 248 traditional villages through an integrated assessment framework. We developed a Sensitivity-Resilience (S-R) model where sensitivity captures environmental constraints including topographic factors (elevation, slope, terrain roughness) and climatic variables (temperature, precipitation), while resilience encompasses ecological buffers (vegetation coverage, water network density) and socio-economic adaptive capacity (road network density, population density, GDP, nighttime lights)-combining 11 indicators from remote sensing data (DEM, MODIS climate products), national census records, and geographic databases (2000-2020). The geographic detector method, a spatial statistical technique that quantifies factor contributions without assuming linear relationships, revealed both individual and interactive effects on village distribution. Results show 81% of villages concentrate in low-to-moderate vulnerability zones, forming linear clusters along river valleys and lake peripheries. Natural factors impose primary spatial constraints (slope q = 0.72, elevation q = 0.69), while socio-economic factors exhibit stronger influence overall (GDP q = 0.89, road density q = 0.66). Critically, all factor interactions show enhanced effects, especially GDP interactions with road density and nightlight that reveal how economic development, accessibility, and urbanization jointly determine village vulnerability patterns. These findings directly inform differentiated conservation strategies for regional planners and heritage policymakers. High-vulnerability villages (17.7%) require adaptive infrastructure and hazard mitigation; moderate-vulnerability clusters (70.2%) can serve as development nodes with controlled tourism; low-vulnerability settlements (10.9%) need protection from urbanization pressure. The vulnerability framework provides transferable methods for understanding how traditional villages persist within, rather than despite, ecological constraints in fragile mountain regions globally.

Indexed as

Ecological vulnerabilityHeritage areaNorthwest YunnanSpatial distributionTraditional villages

Identifiers

PMID41350333
PMCPMC12680749

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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.