Process-based growth curve modifiers
Hub: Quesnel, BC; Lac-St-Jean, QC
While the dendrochronological approaches used in AN.1a will provide insights into the growth implications from discrete climatic events on the ring record, the actual underlying physiological processes within the tree remain unclear. Process-based models offer additional insights into tree growth as they use underling physiological principles to predict growth, however these predictions may not provide, as an output, attributes of interest to a forester (for example leaf area index vs stand volume). An MSc student will investigate approaches with the objectives to a) integrate conventional growth and yield curves for selected species with the underlying physiological drivers of growth developed from a process-based model; and b) produce growth and yield curves modifiers to better reflect the sensitivity of the species to a changing climate. Outcome: Growth curve modifiers linked to drought, heat stress, mean temperature or frost, and other meaningful drivers identified in AN.1a.
Recruiting, MSc at University of British Columbia
Main Partner: Future of Forestry Think Tank (British Columbia)
Professor Nicholas Coops