Spatiotemporal Evolution and Multi-Scenario Simulation of Urban Green Space Carbon Sinks in the Guangdong-Hong Kong-Macao Greater Bay Area from Accounting to Prediction

Key Points

• This research aims to assess the evolution and predictive capacity of urban green spaces as carbon sinks within the Greater Bay Area.
• Utilized multi-scenario simulations for carbon sink assessment.
• Analyzed spatiotemporal data of urban green spaces.
• Employs ecological economics principles to evaluate sustainability.
• Identified significant variations in carbon sink capacity across different urban scenarios.
• Projected future carbon sink potential based on current green space metrics.
• Demonstrated the importance of urban planning in maximizing carbon sequestration.