Current research projects Coupled Long-Term Experiment and Model Investigation of the Differential Response of Plants and Soil Microbes in a Changing Permafrost Tundra Ecosystem. DOE, 2019-2022 (Co-PI, PI: Ted Schuur, Northern Arizona University)Spruce and Peatland Responses Under Climatic and Environmental Change. ORNL, 2019-2022 (Co-I, PIs: Paul Hanson and Daniel Ricciuto, Oak Ridge National Laboratory)TECO modeling, data assimilation, and ecological forecasting at Sevilleta (SEV) LTER site. NSF, 2018-2023 (Co-PI, PI: Jennifer Rudgers, University of New Mexico)Training courses on the matrix approach to modeling land carbon and nitrogen cycles. NSF, 2018-2021 (PI)Constraining the continental-scale terrestrial carbon cycle using NEON data. NSF, 2020-2024 (PI: Jingfeng Xiao, University of New Hampshire)


Find out what this lab does

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.


Lab news and upcoming events

Dr. Luo was identified as a Highly Cited Researcher for 2020, which indicates his citations rank in the top 1% for field and year in Web of Science.

4th Training Course (Virtual) on New Advances in Land Carbon Cycle Modeling, May 17-28, 2021

Release data assimilation algorithm for "Methods for estimating temperature sensitivity of soil organic matter based on incubation data: A comparative evaluation".

Release data assimilation algorithm for "Evaluation and improvement of a global land model against soil carbon data using a bayesian MCMC method".

The 1st version of the protocol for model intercomparison on terrestrial biogeochemistry has been released.


Most recent publications

  • 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]