My research focuses on identifying and selecting tree genotypes that remain productive and healthy under a changing climate.
The main question is which measurable traits and signals best predict a tree’s ability to cope with drought, pests, and other disturbances—and how to embed those indicators into routine breeding. The work addresses major environmental and economic challenges: sustaining carbon storage, ensuring wood supply, and reducing climate-related losses and management costs.
I combine long-term field trials and existing breeding records with modern phenotyping (growth, wood properties, and stress responses) and genetic information. Using statistical modelling and genomic prediction, I test simple, scalable indicators of resilience and productivity and evaluate their robustness across sites and years. The outcome will be practical tools and guidelines that make selection more reliable, faster, and cost-effective for boreal tree improvement.
