Spatial variability of cultural landscape vulnerability and influential factors in ethnic villages of Southeast Guizhou

In Southeast Guizhou, a region of China rich in ethnic diversity, the cultural landscapes of ethnic villages are increasingly vulnerable under the pressures of urbanization and tourism development. This study assesses the vulnerability of 43 ethnic villages in Leishan County using the Vulnerability Scoring Diagram (VSD) model, which evaluates exposure, sensitivity, and coping ability. Analyses using spatial autocorrelation and geographic weighted regression reveal distinct spatial patterns of vulnerability, with the northern region exhibiting higher vulnerability indices than the southern region. The study identifies tourism development, protection policies, and financial investments as primary influencing factors of vulnerability, with varying degrees of impact across different geographical areas. The findings provide a robust framework for assessing and visualizing the vulnerability of cultural landscapes in ethnic villages, guiding the development of tailored protection strategies to mitigate risks and preserve cultural heritage.

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Publication Details

Journal
Scientific Reports
Published
2025-01-09
DOI
https://doi.org/10.1038/s41598-024-83734-4
Citations
3
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
3.32

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article

Spatial variability of cultural landscape vulnerability and influential factors in ethnic villages of Southeast Guizhou

Haidong Wei, Lei Gong, Mengling Yang, Chong Wu et al.
3 citations
Scientific Reports
Land Use and Ecosystem Services
3.32
article

Spatial variability of cultural landscape vulnerability and influential factors in ethnic villages of Southeast Guizhou

Haidong Wei, Lei Gong, Mengling Yang, Chong Wu, Guowei Tan
article en
3 citations

Abstract

In Southeast Guizhou, a region of China rich in ethnic diversity, the cultural landscapes of ethnic villages are increasingly vulnerable under the pressures of urbanization and tourism development. This study assesses the vulnerability of 43 ethnic villages in Leishan County using the Vulnerability Scoring Diagram (VSD) model, which evaluates exposure, sensitivity, and coping ability. Analyses using spatial autocorrelation and geographic weighted regression reveal distinct spatial patterns of vulnerability, with the northern region exhibiting higher vulnerability indices than the southern region. The study identifies tourism development, protection policies, and financial investments as primary influencing factors of vulnerability, with varying degrees of impact across different geographical areas. The findings provide a robust framework for assessing and visualizing the vulnerability of cultural landscapes in ethnic villages, guiding the development of tailored protection strategies to mitigate risks and preserve cultural heritage.

Scientific ReportsVol. 15(1)
Guizhou University (CN), Guizhou Minzu University (CN)
National Natural Science Foundation of China, Guizhou University, Natural Science Foundation of Guizhou Province
Reduced inequalities
Openalex Percentile: Top 10%
Land Use and Ecosystem Services
3.32
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Spatial variability of cultural landscape vulnerability and influential factors in ethnic villages of Southeast Guizhou — Haidong Wei, Lei Gong, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS