Ecosystem Service Assessment of Campus Street Trees for Urban Resilience: A Case Study from Guangxi Arts University

Ecosystem-based adaptation (EbA) provides a practical framework for enhancing urban resilience. This study had three objectives: (i) to quantify the structural attributes and ecosystem services (ESs) of campus street trees, (ii) to integrate LiDAR-derived metrics with the i-Tree Eco model to improve assessment accuracy, and (iii) to evaluate how quantified ESs contribute to climate resilience and inform localized EbA strategies. Field surveys were complemented with LiDAR data to enhance estimation of leaf area index (LAI), canopy dimensions, and tree height. Results show that 2643 street trees representing 29 species provide substantial ESs, including carbon storage of 508,230 kg, annual carbon sequestration of 48,580.5 kg, removal of major air pollutants totaling 2132 kg/year, and stormwater runoff reduction of 2351.8 m3/year, with a combined annual economic value of USD 202,822.10. A small number of species dominated ES delivery, with C. camphora and M. indica contributing disproportionately to canopy structure and ecological benefits. These findings highlight the critical role of urban vegetation in carbon mitigation, air-quality regulation, and flood adaptation at the parcel scale. The study provides a replicable framework for integrating LiDAR-enhanced i-Tree assessments into urban greening policies. It also emphasizes the need for species diversification and the inclusion of omitted services (e.g., biodiversity support, microclimate regulation) in future work to deliver more comprehensive EbA planning.