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Urban Canopy Cooling via Leaf Trait Selection

Authors: Sommerville, Scott;

Urban Canopy Cooling via Leaf Trait Selection

Abstract

Urban heat islands (UHIs) intensify environmental and public health challenges in densely populated areas. This research investigates whether strategic urban tree species selection, based on heat-adaptive leaf traits, can enhance canopy cooling and mitigate UHI effects. The project will identify characteristics such as leaf albedo, transpiration rates, and structural adaptations contributing to greater heat reduction. Fieldwork will be conducted across climatically diverse U.S. cities to capture variation in species performance and local growing conditions. Data collection will integrate remote sensing, field sampling, and physiological measurements. This transdisciplinary project engages partners from the private sector (Avison Young), academic researchers (Dr. Steward Pickett, Cary Institute of Ecosystem Studies), and a key nonprofit collaborator (Arbor Day Foundation), combining ecological expertise with on-the-ground implementation pathways. The research aims to deliver science-informed recommendations for urban forestry policy, supporting climate-resilient city planning and equitable access to green infrastructure. The project bridges theory and practice to address pressing climate adaptation needs in urban environments through ecological modeling, field experimentation, and stakeholder collaboration.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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