We are offering MSc/PhD projects on the application of remote sensing technologies for assessing the state of boreal forest structure and function near Kluane Lake, Yukon. For decades, Canada lynx and their prey have been studied in the Kluane region, and the current project extends these investigations into the realm of vegetation and snow dynamics in this rapidly-changing northern landscape. Using a recently-acquired unmanned aerial vehicle equipped with LiDAR, multispectral, hyperspectral, thermal and RGB cameras, we will investigate: 1) how patterns of forest productivity and phenology vary dynamically across space and time; 2) sources of forest heterogeneity and resiliency to climate change and insect outbreaks; and 3) how snow conditions vary through time and affect forest structure and wildlife habitat availability. We are also using our drone/cameras to: 4) help back-cast satellite imagery for Kluane to infer the role of climate change on plant species composition. In addition, this large project provides several opportunities and potential collaborations related to: 5) validating cutting-edge remote sensing technologies in forest health assessment; 6) forecasting future boreal forest dynamics under climate change; and 7) relating forest characteristics to the movements and habitat selection of Canada lynx and snowshoe hares that are radio-collared with GPS transmitters. The MSc/PhD project(s) will be tailored to student interests and the needs of the larger project.
 
Successful candidates MUST have a BSc in Biology, Ecology, or related field, and PhD applicants also need an MSc and demonstrated evidence of peer-reviewed publications. Preferred skills include experience with remote sensing, drone operation, GIS and related analytical skills, ability to work in remote environments, and an interest in working collaboratively within a large and diverse research group.