Constructing a Future Green Space Ecological Network Based on Multi-Scenario Urban Expansion: A Case Study of Chengdu, Sichuan, China

Forests, Journal Year: 2024, Volume and Issue: 15(10), P. 1818 - 1818

Published: Oct. 17, 2024

As urban spaces expand, changes in land use significantly affect the structure and function of ecosystems, particularly with challenges such as green space reduction uneven distribution. This study focused on central area Chengdu, China, simulating forecasting various development scenarios for 2035, including cultivated protection (CP), economic (ED), ecological priority (EP), natural (ND). The construction networks followed a systematic process, incorporating key methods source identification, landscape resistance surface construction, corridor extraction. connectivity these was assessed using syntax. results indicated that: (1) Construction expanded across all scenarios, ED scenario having largest area, while EP resulted significant increase space. (2) Ecological corridors were established under every scenario, featuring most extensive well-connected network, linking patches surrounding areas. (3) scenario’s network displayed integration, choice, connectivity, depth values that indicate complete stable structure. provides comprehensive analysis different strategies, offering valuable insights optimizing planning management.

Language: Английский

Spatial and Temporal Evolution Characteristics of Ecosystem Service Value and Population Distribution in China’s Coastal Areas

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10212 - 10212

Published: Nov. 22, 2024

Coastal areas are among the most densely populated globally and crucial components of terrestrial marine ecosystems. Investigating interplay between population distribution ecosystem service value (ESV) in coastal regions, along with their spatial temporal dynamics, is for safeguarding ecological security, fostering regional sustainable development, facilitating a harmonious coexistence humans nature. This study focuses on China’s areas, utilizing land use data from 2000 to 2020 at county-level scale. Several methods, such as geographic concentration, autocorrelation, mismatch index, employed reveal relationships characteristics ESV. The main findings follows: (1) increased 580.6632 million 700.7265 million, rising density. core concentrated Beijing–Tianjin–Hebei Urban Agglomeration, Yangtze River Delta Pearl secondary cores forming near provincial capitals. (2) concentration lower than that population, displaying pattern “low–high–low” north south. ESV these has by CNY 121.66 billion, significant decline per capita Low values concentrations northern part research area, particularly across North China Plain. (3) correlation negative, relatively good overall coordination. Increased human activities urbanization have led degradation functions.

Language: Английский