Theme 4: Inventory and Management of Urban Trees​

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The fourth research theme aims to improve the inventory and management of urban trees in Quebec. We seek to test a participatory approach that involves citizens in the inventory of private trees, thereby expanding data sets while raising awareness about sustainable management. Additionally, we are exploring the use of drone-based LiDAR to collect LiDAR and hyperspectral data, enabling precise mapping of trees and detailed species classification. The projects in this research theme combine community engagement and cutting-edge technology to provide optimized and sustainable management of urban green spaces.

Identifying American elms (Ulmus americana) resistant to Dutch elm disease

The American elm (Ulmus americana) has long dominated natural and urban landscapes. However, its populations have been severely impacted by Dutch elm disease (DED) pandemics in recent decades. This project aims to identify elms in the city of Quebec that are resistant to DED using population genomics techniques. This would enable the city to offer more native tree species in community programs and, in doing so, help maintain greater urban biodiversity.
Student : Jeremy Latulippe
Category : Master
Advisor : Pauline Hessenauer
Co-advisor: ​Janani Sivarajah
Date : 2025 - ...

 Thanks to all of our research partners and funders !