What to Expect
Forest response to hydro-climatic stresses contributes to large variations of gas and energy exchanges between the biosphere and the atmosphere. Severe stresses during droughts have also led to widely observed forest mortality across the globe. Limited understanding of forest dynamics in response to climate variations and change is among the dominant sources of uncertainty in climate projections. Based on mechanistic models, Yanlan will discuss how water stresses from both the soil and the atmosphere regulate transpiration and, under severe conditions, mortality through plant hydraulic dynamics. The findings directly address the response of forest water use and mortality risk to projected long-term trends of multiple climate factors. She will also demonstrate a new data-driven approach that leverages remote sensing to monitor forest resilience. An application of the approach in Californian forest suggests that low-resilience provided an early warning signal of near-term mortality across a landscape scale. She will conclude by discussing potential approaches to integrate mechanistic models and data analytics to advance understanding and prediction of forest dynamics under future climate.
Yanlan Liu is a Postdoctoral Scholar in the Department of Earth System Science at Stanford University. Before joining Stanford, Yanlan received a Ph.D. degree in Environmental Science and a M.S. degree in Statistical Science from Duke University in 2019. Yanlan’s research seeks to better understand how plants respond to climate variations and change. By combining physically-based models and data-driven analytics, her recent work focuses on evaluating plant water use, resilience, and mortality under hydro-climatic stresses.