When: 9:00 a.m., July, 7th (Wednesday), 2021
Tencent Meeting ID: 623 918 353
Speaker: Dr. Yiqi Luo was trained as an ecologist with an emphasis on systems analysis and modeling. His current research focuses on data-model integration to improve our ability to predict ecosystem responses to global change. Dr. Luo's research is aimed at understanding interactions and dynamics of carbon, nutrient, and water resources in ecosystems. His work concerns a variety of ecosystem types, including forests, grasslands, and coastal wetlands. He is particularly interested in how ecophysiological processes are manifested at the ecosystem levels and used to address issues in global change including terrestrial carbon sequestration and atmosphere-biosphere coupling.
Abstract: Land ecosystems offer an effective nature-based solution to climate change mitigation by absorbing approximately 30% of anthropogenically emitted carbon. This estimated absorption is primarily based on constraints from atmospheric and oceanic measurements while quantification from direct studies of land carbon cycle themselves displays great uncertainty. The latter hinders prediction of the future fate of the land carbon sink. This talk will reveal a general dynamic pattern that the land carbon cycle changes in a direction toward a moving attractor in response to global change. This general pattern is captured by a matrix equation, which will be shown to unify almost all, if not all, land carbon cycle models, help diagnose model performance with new analytics, accelerate computational efficiency for spin-up, enable data assimilation with complex models, and guide carbon cycle research with a new theoretical framework.
