A Novel Integrated Spatiotemporal-Variable Model of Landscape Changes in Traditional Villages in the Jinshaan Gorge, Yellow River Basin

Lili Liu, Meng Chen, Pingping Luo (), Maochuan Hu (), Weili Duan and Ahmed Elbeltagi
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Lili Liu: School of Architecture, Chang’an University, Xi’an 710061, China
Meng Chen: School of Architecture, Chang’an University, Xi’an 710061, China
Pingping Luo: School of Water and Environment, Chang’an University, Xi’an 710054, China
Maochuan Hu: School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China
Weili Duan: State Key Laboratory of Desert & Oasis Ecology, Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Urumqi 830011, China
Ahmed Elbeltagi: Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura 35516, Egypt

Land, 2023, vol. 12, issue 9, 1-28

Abstract: Spatiotemporal studies of landscape pattern evolution in traditional villages are beneficial for addressing complex urbanization and global climate change. Using the traditional villages of Jiaxian and Linxian in the Jinshaan Gorge of the Yellow River Basin, this study employed a three-dimensional (3D) analysis involving three spatial scales (macro, meso, and micro), temporal scales (past, present, and future), and variables (humanity, society, and nature) based on the methods of spatiotemporal data analysis (SDA), geographic information system, remote sensing, and landscape pattern index (LPI) by Fragstats. On the macro scale, a significant turning point in ecological conservation awareness was indicated by LPI and SDA. Urban and rural construction land continuously increased because of urbanization. Plowland, grassland, and woodland were the main influencing factors in the evolution of rural settlements, with a 0.42% cumulative transformation rate. On the meso scale, the interactions and mutual promotion of mountain and aquatic environments, aquatic facilities, agricultural production, and cultural heritage have shaped the socioeconomic dimensions of evolution. On the micro scale, with urbanization, some traditional humanistic spaces have lost their original functions. A novel spatiotemporal-variable quantitative model explored the spatiotemporal evolution characteristics of human–land coupling, which can be used for the sustainable development of river basins worldwide.

Keywords: remote sensing; Yellow River basin; traditional villages; spatiotemporal evolution; landscape pattern; Jinshaan Gorge (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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