Urban Tree Life Cycle Carbon Budgets for Three Green Space Types in Shihezi City

A 2026 study by Ruijing Zhang calculates the net carbon sequestration capacity of main tree species in Shihezi City, China. The dataset likely contains results from life cycle assessment, biomass equation, and emission factor methods applied to trees in parks, roadsides, and residential areas. It includes findings on carbon storage per tree and emissions, with irrigation identified as the primary emission source.

Use Cases

• Compare carbon storage and emissions of tree species across different urban green space types based on the study's findings.
• Identify tree species with positive life cycle carbon budgets for low-carbon urban planning based on the analysis of Ulmus pumila and other species.
• Model the impact of irrigation and other maintenance activities on the net carbon sequestration of urban trees based on the emission source analysis.
• Inform management strategies to maximize net carbon sequestration in urban green spaces based on the species-environment interaction analysis.

Strengths

• Provides specific carbon storage figures per tree for three green space types (e.g., 366.78 kgC tree⁻¹ in parks).
• Quantifies life cycle carbon emissions per tree (e.g., 461.15 kgC tree⁻¹ in parks) and identifies irrigation as the main source.
• Compares performance of specific tree species, such as Ulmus pumila, which stored 595.39 kgC tree⁻¹.
• Uses a defined methodological framework combining life cycle assessment, biomass equations, and emission factors.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope, likely containing summary results rather than raw measurement data.

Provenance

Source

Ruijing Zhang via figshare.

Collection Method

Calculated using life cycle assessment, biomass equation method, and emission factor method.

Time Range

Study published in 2026; specific temporal coverage of underlying data is not stated.

Freshness

Last updated 2026-04-24 17:30:09; freshness should be verified.

Geography

Shihezi City, China.