The microclimate impact of treetop walk based on plant community simulation

Environ Sci Pollut Res Int. 2024 Jan 27. doi: 10.1007/s11356-024-32009-6. Online ahead of print.

Abstract

The treetop walk is an innovative urban greenway that harmoniously integrates with the natural topography, meandering through the tree canopy. It serves as a vital element in elevating the urban mountain landscape while also significantly impacting the recreational experiences of the public through its microclimate effects. Moreover, the distinctive plant community characteristics of the treetop walk significantly enhance the microclimate. Examining the plant community attributes that potentially influence the microclimate conditions of the treetop walk is of utmost importance. We chose the Fu Forest Trail in Fuzhou as the sample site for this research. By implementing an orthogonal experimental design and using ENVI-met software, we simulated data to explore the impacts of various plant community characteristics on the microclimate of the treetop walk in autumn. The findings revealed the following results: (1) The presence of tree height, leaf area index, crown type, and planting density significantly influenced the microclimate of the treetop walk green spaces, with some factors having primary effects while others having secondary effects. (2) No significant variations were observed in the microclimate effects of diverse plant community characteristics in the treetop walk during morning, noon, and evening hours. (3) Scheme 13 emerged as the optimal choice for cooling and humidifying ventilating, characterized by a tree height of 20 m, leaf area index of 4.4, spherical crown shape, and planting spacing of 2 m. The tree species available in the Fuzhou area include Ligustrum quihoui Carr., Buxus sinica, Laurus nobilis, Myrica rubra, and Osmanthus fragrans. (4) Compared to traditional understory trails, tree height and planting spacing notably influence the microclimate environment of the treetop walk.

Keywords: ENVI-met; Microclimate; Orthogonal experimental design; Plant community characteristics; Treetop walk.