DOAJ Open Access 2025

Identifying Landscape Character in Multi-Ethnic Areas in Southwest China: The Case of the Miao Frontier Corridor

Yanjun Liu Xiaomei Li Shangjun Lu Liyun Xie Zongsheng Huang

Abstrak

The landscapes of China’s multi-ethnic areas are rich in natural and cultural value, but they are threatened by homogenization and urbanization. This study aims to establish a method for identifying and classifying the landscape characters in China’s multi-ethnic areas to support the protection and sustainable development of the landscape in these areas. Taking the Miao Frontier Corridor as an example, the study optimized a parameterization method of landscape character assessment (LCA), integrated relevant cultural and natural elements, and used the K-means clustering algorithm to determine the landscape character types and regions of the Miao Frontier Corridor. The results show that (1) the natural conditions, ethnic exchanges, and historical institutions of the Miao Frontier Corridor have had a significant impact on its overall landscape; and (2) using ethnic group culture as a cultural element in LCA helps to reveal the unique cultural value of areas with different landscape characters. This study expands the LCA framework and applies it to multi-ethnic areas in China, thereby establishing a database that can serve as the basis for cross-regional landscape protection, management, and development planning in these areas. The research methods can be widely used in other multi-ethnic areas in China.

Topik & Kata Kunci

Penulis (5)

Y

Yanjun Liu

X

Xiaomei Li

S

Shangjun Lu

L

Liyun Xie

Z

Zongsheng Huang

Format Sitasi

Liu, Y., Li, X., Lu, S., Xie, L., Huang, Z. (2025). Identifying Landscape Character in Multi-Ethnic Areas in Southwest China: The Case of the Miao Frontier Corridor. https://doi.org/10.3390/land14081571

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.3390/land14081571
Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.3390/land14081571
Akses
Open Access ✓