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)Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation (RUBISCO) Scientific Focus Area (SFA), ORNL, 2018-2020 (Co-I, PI: Forrest Hoffman, Oak Ridge National Laboratory)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)

About

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.

News/Events

Lab news and upcoming events

3rd Training Course on New Advances in Land Carbon Cycle Modeling, May 18-29, 2020, Northern Arizona University, Flagstaff, AZ, USA.

Dr. Luo was identified as a Highly Cited Researcher for 2018, which indicates his citations rank in the top 1% for field and year in Web of Science.

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.

Work

Most recent publications

  • Feng Tao, Zhenghu Zhou, Yuanyuan Huang, Qianyu Li, Xingjie Lu, Shuang Ma, Xiaomeng Huang, Yishuang Liang, Gustaf Hugelius, Lifen Jiang, Russell Doughty, Zhehao Ren and Yiqi Luo. 2020. Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States. Frontiers in Big Data, 3:17. doi: 10.3389/fdata.2020.00017. [Download]
  • Yiqi Luo & Shuli Niu. 2020. The fertilization effect of CO2 on a mature forest. Nature, 580: 191-192. [Download]
  • Yiqi Luo & Edward A.G. Schuur. 2020. Model Parameterization to Represent Processes at Unresolved Scales and Changing Properties of evolving Systems. Global Change Biology, 26: 1109-1117. [Download]