Trees on Buildings: A Tree Selection Framework Based on Industry Best Practice

Author:

Abuseif MajedORCID,Dupre KarineORCID,Michael Ruby N.

Abstract

Trees on buildings have received increased interest, and installations have multiplied over recent years, yet there is limited literature and policies guiding the successful implementation of projects relating to trees on buildings. This study investigates the tree selection process for implementation on buildings, using a survey and follow-up interviews with experienced experts to reveal current worldwide industry best practice, and provides a systematic framework for selecting the most appropriate tree species. A tree selection framework is proposed that consists of four stages: identifying the purpose of the tree; analysing the site context and its conditions; evaluating the risk of implementation; and investigating the characteristics of the candidate trees. Decision-makers can use the developed framework to inform design, implementation, and policy development of trees on buildings to reduce implementation risks. In addition, this paper provides useful insights to inform future research about trees on buildings.

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Ecology,Global and Planetary Change

Reference70 articles.

1. Optimized greenery configuration to mitigate urban heat: A decade systematic review;Fu;Front. Archit. Res.,2022

2. The effect of green roof configurations including trees in a subtropical climate: A co-simulation parametric study;Abuseif;J. Clean. Prod.,2021

3. Estimates of air pollution mitigation with green plants and green roofs using the UFORE model;Currie;Urban Ecosyst.,2008

4. Abuseif, M., and Gou, Z. (2018). A Review of Roofing Methods: Construction Features, Heat Reduction, Payback Period and Climatic Responsiveness. Energies, 11.

5. Corrao, R., and Mughal, H. (2018, January 1–3). Role of Sky-gardens in Improving Energy Performance of Tall Buildings. Proceedings of the SER4SC. Seismic and Energy Renovation for Sustainable Cities, Catania, Italy.

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