Land Carbon Cycle Modeling (PDF)

Yiqi Luo is Liberty Hyde Bailey Professor at Cornell University, USA. He obtained his PhD degree from the University of California, Davis in 1991 and did postdoctoral research at UCLA and Stanford University from 1991 to 1994, before he worked at the Desert Research Institute as Assistant and Associate Research Professor from 1994 to 1998, the University of Oklahoma as Associate, Full, and George Lynn Cross Professor from 1999 to 2017, and Northern Arizona University as Full and Regents Professor. Professor Luo has studied land carbon cycling using empirical and modeling approaches for more than 30 years. His research program has been focused on addressing two key issues: (1) how global change alters the structure and functions of terrestrial ecosystems, and (2) how terrestrial ecosystems regulate climate change. To address these issues, Dr. Luo's laboratory has conducted field global change experiments; developed terrestrial ecosystem models; synthesized extensive data sets using meta-analysis methods; integrated data and models with data assimilation techniques; and carried out theoretical and computational analysis. Particularly, his research team has recently developed a matrix approach to land carbon cycle modeling; applied data assimilation techniques to ecological research; and pioneered in ecological forecasting. Previously he has published two books, 30 book chapters, and more than 500 papers in peer-reviewed journals. He was a Highly Cited Researcher recognized by the Web of Science Group, Clarivate Analytics in 2018-2022. He was elected fellow of the American Association for the Advancement of Science (AAAS) in 2013; the American Geophysical Union (AGU) in 2016; and the Ecological Society of America (ESA) in 2018. This book, Land Carbon Cycle Modeling: Matrix Approach, Data Assimilation, Ecological Forecasting, & Machine Learning 2e, evolved from an international training course, New Advances in Land Carbon Cycle Modeling. The training course has been