Changes and Characteristics of Green Infrastructure Network Based on Spatio-Temporal Priority

With advancements in urbanization, natural lands are constantly being encroached upon by artificial impervious surfaces, leading to serious ecosystem damage. Calls for Green Infrastructure to address urban environmental issues and resource reallocation are growing. How to optimize Green Infrastructure networks are becoming increasingly important under rapid urbanization. In this study, we used the main city zone in Hangzhou as the study area, and we extracted 2000, 2010 and 2020 land-use data. We used morphological spatial pattern analysis to identify Green Infrastructure landscape types and further extract Green Infrastructure elements. We identified the spatial priority of Green Infrastructure network elements through landscape connectivity evaluation according to ecological importance and development vulnerability. After the construction of a Green Infrastructure network, we analyzed its spatio-temporal characteristics to determine the Green Infrastructure network's spatial priority. Through spatial prioritization, the gradual construction and optimization of Green Infrastructure networks will help to improve urban green spaces in stages. Smartly coordinating urban growth and ecological protection based on Green Infrastructure spatial prioritization may help improve urban living environments and enhance sustainable urban development capabilities. In conclusion, sources dominate corridors and codes are changing. If sources are fragmented, the integration degree decreases and the first-level source advantage is weakened. The corridor morphology continuously develops, and the corridor structure stabilizes. Second-level corridors gradually replace third-level corridors to guide Green Infrastructure network structure development. Codes present a scatter distribution and tend to average, closely following corridor change.

Automated summary

With the rapid urbanization, natural lands are being increasingly replaced by artificial impervious surfaces, causing severe damage to ecosystems. This study focuses on the optimization of Green Infrastructure networks in the main city zone of Hangzhou. Using morphological spatial pattern analysis, different landscape types and elements of Green Infrastructure were identified. The spatial priority of Green Infrastructure network elements was determined based on ecological importance and development vulnerability. The study found that the gradual construction and optimization of Green Infrastructure networks, guided by spatial prioritization, can help improve urban green spaces. Smart coordination between urban growth and ecological protection based on Green Infrastructure spatial prioritization can enhance urban living environments and promote sustainable urban development.