Context The urban landscape plays a crucial role in achieving sustainability goals and aspiring to a zero-emission future. Effective carbon mitigation strategies need a spatially explicit and life-cycle analysis of building emissions, detailed mapping highlights the geographical distribution and specific characteristics of buildings, enabling precise identification and targeted management of emission sources. Objectives This study aims to create a framework that reveals the spatial and temporal dimensions of building carbon emissions at each stage of their life cycle. Methods We developed a comprehensive approach for carbon accounting in buildings. This framework captures spatiotemporal carbon emission patterns across various building types, considering material, energy, and waste flows. It also identifies potential mitigation strategies within the urban building landscape. Results Applying this framework to a case study in Shenzhen, we observed a fluctuating increase in total carbon emissions, peaking at 201.5 Mt in 2016 and subsequently declining. Embodied emissions dominated before the twenty-first century, while operational emissions became significant afterward. Spatially, emissions hotspots concentrated in central urban districts, expanding outward, with residential buildings contributing the most. Scenario analysis revealed that extending building lifetimes is a key strategy for mitigating embodied carbon, while improving energy efficiency and adopting clean energy work well together to reduce operational carbon. Conclusions Mapping the spatiotemporal patterns of carbon emissions throughout a building’s lifespan can assist urban planners and policymakers in formulating targeted strategies for carbon reduction, thereby enhancing urban sustainability.
Background: White tea, despite being one of the six major types of Chinese tea, has received relatively little attention regarding its production-related environmental impacts. This study employed a cradle-to-grave life cycle assessment (LCA) to quantify the carbon footprint of Fuding white tea production. Results: An integrated cradle-to-grave assessment, informed by field surveys, literature, and background databases (including complete life-cycle data from 15 tea enterprises), revealed an average carbon emission intensity of 16.94 ± 3.41 kg CO2 eq per kilogram of finished tea (crude). Major emission sources included electricity consumption (45–68% of total emissions), water usage (15–26%), and fertilizer application (7–22%), with major hotspots identified in the processing stage (4.10–12.73 kg CO2 eq/kg, primarily from energy-intensive drying and refining) and consumption stage (5.17–5.67 kg CO2 eq/kg, dominated by water heating). Analysis of 216 scenarios revealed production emissions ranged from 15.44 to 22.72 kg CO2 eq/kg. Notably, emissions could be reduced by up to 56% through integrated measures such as organic fertilization, natural withering, and short-chain distribution. When accounting for tea garden carbon sequestration (1.17–8.45 kg CO2 eq/kg), the production of Fuding white tea could potentially achieve net-negative emissions. Conclusions: To support decarbonization, we propose a tripartite strategy: adoption of green electricity and organic fertilizers during production, promotion of short-chain distribution systems and low-carbon consumer practices, and innovating carbon sink trading mechanisms. These findings offer a scientific foundation for reducing the carbon footprint per unit of tea and enhancing the green competitiveness of the tea industry.