Spatial differentiation of traditional-village landscape character types and their natural-social-cultural influencing factors in the Eastern Qinghai-Tibet Plateau

Traditional villages in the eastern Qinghai–Tibet Plateau (EQTP) represent an important component of global rural cultural diversity. However, an in-depth understanding of the spatial distribution and potential influencing factors of their different landscape types at a regional scale is still lacking. Accordingly, this study developed an integrated analytical framework based on 449 officially designated traditional villages. The K-means clustering algorithm was used to identify traditional-village landscape characteristics. By integrating spatial statistical methods with the GeoDetector model, this study quantitatively examined the spatial associations between each traditional-village type and natural, socio-economic, and cultural factors. The analysis indicated: (1) four traditional-village types were identified, including River valley cropland-dominated traditional villages (RV-CDTV), Mid-mountain steep-slope river-distant forest–cropland mosaic traditional villages (MMRD-FCMTV), Mid-mountain steep-slope riverside forest-dominated traditional villages (MMR-FDTV), and Plateau riverside grassland-dominated traditional villages (PR-GDTV); (2) all traditional-village types exhibited significant clustering patterns and distinct spatial configurations; and (3) the highest explanatory power for the spatial distribution of the four village types is derived from: social factors (for RV-CDTVs), the interaction of social and cultural factors (for MMRD-FCMTVs), the interaction of cultural and natural factors (for MMR-FDTVs), and natural factors (for PR-GDTVs). The study reveals that the explanatory power of various influencing factors exhibits phased shifts as traditional-village landscape types differentiate. This not only provides a new perspective for exploring the spatial distribution characteristics and multidimensional influencing factors of traditional villages in complex terrains but also offers a scientific basis for implementing differentiated conservation strategies for traditional villages in high-elevation mountainous areas.

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Publication Details

Journal
Scientific Reports
Published
2026-09-15
DOI
https://doi.org/10.1038/s41598-026-71849-9
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
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article

Spatial differentiation of traditional-village landscape character types and their natural-social-cultural influencing factors in the Eastern Qinghai-Tibet Plateau

Jiajun Li, Yang Zhang, Jing Zhang, Yan Liu
Scientific Reports
Land Use and Ecosystem Services
article

Spatial differentiation of traditional-village landscape character types and their natural-social-cultural influencing factors in the Eastern Qinghai-Tibet Plateau

Jiajun Li, Yang Zhang, Jing Zhang, Yan Liu
article en

Abstract

Traditional villages in the eastern Qinghai–Tibet Plateau (EQTP) represent an important component of global rural cultural diversity. However, an in-depth understanding of the spatial distribution and potential influencing factors of their different landscape types at a regional scale is still lacking. Accordingly, this study developed an integrated analytical framework based on 449 officially designated traditional villages. The K-means clustering algorithm was used to identify traditional-village landscape characteristics. By integrating spatial statistical methods with the GeoDetector model, this study quantitatively examined the spatial associations between each traditional-village type and natural, socio-economic, and cultural factors. The analysis indicated: (1) four traditional-village types were identified, including River valley cropland-dominated traditional villages (RV-CDTV), Mid-mountain steep-slope river-distant forest–cropland mosaic traditional villages (MMRD-FCMTV), Mid-mountain steep-slope riverside forest-dominated traditional villages (MMR-FDTV), and Plateau riverside grassland-dominated traditional villages (PR-GDTV); (2) all traditional-village types exhibited significant clustering patterns and distinct spatial configurations; and (3) the highest explanatory power for the spatial distribution of the four village types is derived from: social factors (for RV-CDTVs), the interaction of social and cultural factors (for MMRD-FCMTVs), the interaction of cultural and natural factors (for MMR-FDTVs), and natural factors (for PR-GDTVs). The study reveals that the explanatory power of various influencing factors exhibits phased shifts as traditional-village landscape types differentiate. This not only provides a new perspective for exploring the spatial distribution characteristics and multidimensional influencing factors of traditional villages in complex terrains but also offers a scientific basis for implementing differentiated conservation strategies for traditional villages in high-elevation mountainous areas.

Scientific Reports
Chengdu University of Technology (CN), Sichuan Tourism University (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China
Openalex Percentile: Top 14%
Land Use and Ecosystem Services
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