Brown Bag Lunch Seminar Series on Remote Sensing
Optimize forest managements to mitigate carbon sink saturation and promote timber production in China
Date: 12 October 2023 (Thursday)
Time: 11:30-12:30 (HKT)
Mode: In Person (Limited seats, registration is required.)
Venue: FOSS Chamber, 11/F, The Jockey Club Tower, Centennial Campus, HKU
Understanding the nonlinear effects of some dominant drivers on forest carbon sink can underpin forest management and climate change mitigation, however remains unclear. By utilizing multi-source remote sensing data, statistics and machine learning approach, we identified the thresholds within the partial impacts of forest stand characteristics, fire disturbance level, afforestation/reforestation intensity and urbanization rate across China. Based on these thresholds, we proposed the optimal fire prevention and reforestation schemes across different regions. Moreover, we provided the optimal forest thinning and aging prevention strategies for every forestland in China. These managements can not only mitigate carbon sink saturation, but also promote timber production.
Dr. Yongzhe CHEN
Post-doctoral Research Fellow, Department of Geography, HKU
Dr. Yongzhe Chen graduated from the Research Center for Eco-environmental Sciences, Chinese Academy of Sciences in June 2022, with a research area focusing on ecological and hydrological remote sensing. His studies have been published in top journals such as Global Change Biology, Earth System Science Data, Water Resources Research.