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

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.

Spatio-Temporal Evolution of Key Areas of Territorial Ecological Restoration in Resource-Exhausted Cities: A Case Study of Jiawang District, China

“…resdc.cn/ (accessed on 1 July 2022)). (5) The traffic data, including the distribution data of expressways, provincial roads, national roads, and railways in Jiawang District, originated from the Open Street Map data platform (http://www.openstreetmap.org/ (accessed on 1 July 2022)) and were used to build a network data set, together with the ecological corridor to identify ecological fracture points in key areas. (6) Soil data were from the World Soil Harmonisation Database (https://www.fao.org/soils-portal/data-hub/soilmaps-and-databases/harmonized-world-soil-database-v12/en/ (accessed on 1 July 2022)).…”

“…In response to these problems, China's "14th Five-Year Plan" clearly states that resource-exhausted cities should adhere to green transition, accelerate the realization of low-carbon development, and further increase support for environmental protection and rehabilitation [4]. Identifying key areas of national land Land 2023, 12, 1733 2 of 25 space that are prone to ecological damage and degradation will help to enhance ecosystem integrity and connectivity, which is of great significance in guaranteeing the ecological transition and sustainable development of resource-exhausted cities [4,5].…”

Analyzing Spatial–Temporal Characteristics and Influencing Mechanisms of Landscape Changes in the Context of Comprehensive Urban Expansion Using Remote Sensing

“…Yang et al, detected that socio-economic factors are the most important factors in landscape pattern transformation using principal component analysis [56]. Although most existing research focuses on the quantitative relationships between driving factors and landscape patterns [56][57][58][59], analyzing the influence mechanisms of various drivers, they often overlook the spatial impact these factors have on the driving mechanisms of landscape patterns. Given the complex spatial heterogeneity inherent in natural and social systems, drivers exert differing effects on landscape patterns depending on their geographical locations [43,60].…”