About
Our research program is designed to advance predictive understanding of ecosystem ecology and biogeochemistry under the global environmental change via data-model integration. Major issues we are addressing include (1) how global change alters structure and functions of terrestrial ecosystems, and (2) how terrestrial ecosystems regulate climate change. We have used diverse approaches to our research, including experimentation, observation, data synthesis, modeling, data-model fusion, and theoretical analysis.
Work
Xingjie Lu, Zhenggang Du, Yuanyuan Huang, David Lawrence, Erik Kluzek, Nathan Collier, Danica Lombardozzi, Negin Sobhani, Edward A. G. Schuur, Yiqi Luo. 2020. Full implementation of matrix approach to biogeochemistry module of Community Land Model version 5 (CLM5). The Journal of Advances in Modeling Earth Systems, 12: e2020MS002105. [Download]Xue Guo, Qun Gao, Mengting Yuan, Gangsheng Wang, Xishu Zhou, Jiajie Feng, Zhou Shi, Lauren Hale, Linwei Wu, Aifen Zhou, Renmao Tian, Feifei Liu, Bo Wu, Lijun Chen, Chang Gyo Jung, Shuli Niu, Dejun Li, Xia Xu, Lifen Jiang, Arthur Escalas, Liyou Wu, Zhili He, Joy D. Van Nostrand, Daliang Ning, Xueduan Liu, Yunfeng Yang, Edward. A. G. Schuur, Konstantinos T. Konstantinidis, James R. Cole, C. Ryan Penton, Yiqi Luo, James M. Tiedje, Jizhong Zhou. 2020. Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming. Nature Communications, 11: 4897. [Download]Alan K. Knapp, Anping Chen, Robert J. Griffin-Nolan, Lauren E. Baur , Charles J.W. Carroll , Jesse E. Gray , Ava M. Hoffman, Xiran Li, Alison K. Post, Ingrid J. Slette, Scott L. Collins, Yiqi Luo, and Melinda D. Smith. 2020. Resolving the Dust Bowl paradox of grassland responses to extreme drought. PNAS, 117: 22249-22255. [Download]
