Spatiotemporal Evolution and Optimization of Landscape Patterns Based on the Ecological Restoration of Territorial Space

Xuewei Hu, Wenwen Xu and Fayong Li ()
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Xuewei Hu: College of Water Resources and Architectural Engineering, Tarim University, Alaer 843300, China
Wenwen Xu: Institute of Urban Planning and Design, Zhejiang University, Hangzhou 310058, China
Fayong Li: College of Water Resources and Architectural Engineering, Tarim University, Alaer 843300, China

Land, 2022, vol. 11, issue 12, 1-17

Abstract: The ecological restoration of territorial space emphasizes the synergy between ecology and social development. On this basis, we used landscape index analysis methods to explore the spatiotemporal evolution of landscape patterns in urban areas on a district scale. Then, we used multiple regression analysis to explore the driving factors behind this evolution. The results showed the following: (1) Landscape compositions have changed significantly. The growth rate of construction land in the main districts was about three times that in the urban area. (2) There were differences in the characteristics of landscape pattern evolution. Arable land is becoming more fragmented as construction land expands outward. The shapes of public green spaces, arable land, and woodlands tend to be simple and regular. The degree of both urban sprawl and agglomeration decreased in the urban area and the main districts. Meanwhile, landscape separation first decreased and then increased, and landscape diversity increased. (3) Population growth, industrial development, changes in industrial structure, and real estate development are the main driving factors of landscape pattern evolution. Based on this, this study puts forward some suggestions for landscape pattern optimization, which is significant for ecological restoration planning and promotion.

Keywords: ecological restoration of territorial space; composition of landscape; landscape pattern; driving factors; spatial optimization; Hangzhou (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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