Current research projects RCN: Forecasts Of Resource and Environmental Changes: data Assimilation Science and Technology (FORECAST). NSF, 2009-2016. (Principal Investigator)Data Synthesis and Data Assimilation at Global Change Experiments and FLUXNET toward Improving Land Process Models. DOE, 2012-2016. (Principal Investigator)Grassland sensitivity to climate change at local to regional scales: assessing the role of ecosystem attributes vs. environmental context. NSF, 2012-2017. (Co-PI, PI: Alan Knapp, Colorado State University)From Community Structure to Functions: Metagenomics-Enabled Predictive Understanding of Temperature Sensitivity of Soil Carbon Decomposition to Climate Warming. DOE, 2013-2016. (Co-PI, PI: Jizhong Zhou, University of Oklahoma)Adapting Socio-ecological Systems to Increased Climate Variability. NSF, 2013-2018 (Co-I, PI: Ray Huhnke, Oklahoma State University)Ecosystem Modeling in the South Central US: A Synthesis of Current Models toward the Developments of Coupled Models. USGS-SCCSC, 2015-2016. (Principal Investigator)Spruce and Peatland Responses Under Climatic and Environmental Change. ORNL, 2015-2016. (Co-I, PI: Paul J. Hanson and Daniel M. Ricciuto)Improved Parameterization of Carbon Cycle Models Across Scales Using OCO-2 Measurements of XCO2 and SIF. NASA, 2015-2018. (Co-I, PI: Sean Crowell, University of Oklahoma)Multifactor Experiment and Model Integration to Determine the Regional Vulnerability of Permafrost Carbon to Climate Change. DOE, 2015-2018. (Co-PI, PI: Ted Schuur, Northern Arizona University)

About

Find out what this lab does

Our research programs are 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. Our research is aimed at quantifying dynamics of carbon, nutrient, and water resources in ecosystems in responses to environmental changes.

News/Events

Lab news and upcoming events

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

  • Xia Xu, Zheng Shi, Dejun Li, Ana Rey, Honghua Ruan, Joseph M. Craine, Junyi Liang, Jizhong Zhou, Yiqi Luo. 2016. Soil properties control decomposition of soil organic carbon: results from data-assimilation analysis. Geoderma, doi: 10.1016/j.geoderma.2015.08.038. [Download]
  • Yiqi Luo, Anders Ahlström, Steven D. Allison, Niels H. Batjes, Victor Brovkin, Nuno Carvalhais, Adrian Chappell, Philippe Ciais, Eric A. Davidson, Adien Finzi, Katerina Georgiou, Bertrand Guenet, Oleksandra Hararuk, Jennifer W. Harden, Yujie He, Francesca Hopkins , Lifen Jiang, Charlie Koven, Robert B. Jackson, Chris D. Jones, Mark J. Lara, Junyi Liang, A. David McGuire, William Parton, Changhui Peng, James T. Randerson, Alejandro Salazar, Carlos A. Sierra, Matthew J. Smith, Hanqin Tian, Katherine E. O. Todd-Brown, Margaret Torn, Kees Jan van Groenigen, Ying Ping Wang, Tristram O. West, Yaxing Wei, William R. Wieder, Jianyang Xia, Xia Xu, Xiaofeng Xu, Tao Zhou. 2015. Towards More Realistic Projections of Soil Carbon Dynamics by Earth System Models. Global Biogeochemical Cycles, Accepted. [Download]
  • Ji Chen, Yiqi Luo, Jianyang Xia, Lifen Jiang, Xuhui Zhou, Meng Lu, Junyi Liang, Zheng Shi, Shelby Shelton & Junji Cao. 2015. Stronger warming effects on microbial abundances in colder regions. Scientific Reports, 5:18032 | DOI: 10.1038/srep18032. [Download]