讲座题目：Tropical forests and the global carbon cycle linking remote sensing and ecological modelling
主 讲 人：Andreas Huth 教授
主 持 人：沈国春 教授
讲座时间：5月8日 10:00
讲座地址：闵行校区 资环楼269室
主办单位：beat365、科技处
报告人简介：
Here is a brief introduction about Huth based on the provided information: Huth is a full professor at the Helmholtz Centre for Environmental Research (UFZ). His primary research focuses on the dynamics of forests, including disturbances, and the carbon balances of vegetation. He is renowned for developing a family of dynamic forest models for species-rich forests, particularly tropical rainforests. The most notable models created by Huth are FORMIND and FORMIX3. These models are process-based, employing an individual-based approach to describe the development of each tree in the forest. The models calculate photoproduction of leaves, respiration, and litter fall to determine the growth of individual trees. Tree growth and regeneration in these models critically depend on the local light conditions within the forest environment. Huth's innovative work in developing physiologically grounded, individual-based forest models has significantly advanced our understanding of the complex dynamics governing diverse forest ecosystems.报告内容简介：
Forests play an important role in the global carbon cycle as they store large amounts of carbon. Understanding the dynamics of forests is an important issue for ecology and climate change research. In this presentation, we will give an overview of the knowledge on global forests and their carbon balance. We will explain typical methods to model forests and their dynamics. Using an individual-based forest model (FORMIND), we developed an approach to simulate the dynamics of around 410 billion individual trees within 7.8 million km² of Amazon forests. We combined the simulations with remote sensing observations from Lidar to detect different forest states and structures caused by natural and anthropogenic disturbances. Under current conditions, we identified the Amazon rainforest as a carbon sink, gaining 0.56 Gt C per year. We found that successional states play an important role in the relations between productivity and biomass. Simulated values can be compared to observed local carbon fluxes.
