Dr. Petra D`Odorico

I study how forests respond to their environment and how the complex interplay of phenotypic traits determines tree response variation.

Motivated by the general quest of finding tree species, provenances and genotypes coping well with the changing climate, I am interested in answering questions such as which individuals benefit the most from an earlier start of the growing season? Which suffer the least from the increasing frequency of droughts or pathogen infestations? And which show the highest potential for assisted migration at critical sites?

To answer these and other questions, I make use of proximal and remote sensing techniques, e.g., leaf-level spectroscopy, drone-based imaging, air- and satellite-borne data time series. I combine these with statistical methods and machine learning, to develop scalable, high-throughput, phenotyping approaches that alleviate the challenges of traditional measurements of plant traits and physiology.

2020 SNF-Spark Research Fellow. Capturing a forest’s invisible stress Project. Swiss Federal Research Institute WSL, Switzerland

2017-2019 PostDoc with the SpruceUp Project, at Department of Biology, University of Toronto, Canada

2013 -2016 PostDoc at Department of Environmental Systems Science, ETH Zurich, Switzerland

2012 PhD in Remote Sensing, Department of Geography, University of Zurich, Switzerland

ResearchGate I GoogleScholar