Current research projects RCN: Forecasts Of Resource and Environmental Changes: data Assimilation Science and Technology (FORECAST). NSF, 2009-2017. (Principal Investigator)Data Synthesis and Data Assimilation at Global Change Experiments and FLUXNET toward Improving Land Process Models. DOE, 2012-2017. (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)Adapting Socio-ecological Systems to Increased Climate Variability. NSF, 2013-2018 (Co-I, PI: Ray Huhnke, Oklahoma State University)Spruce and Peatland Responses Under Climatic and Environmental Change. ORNL, 2015-2017. (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)Regional Vulnerability of Permafrost Carbon to Climate Change: A Multifactor Experiment and Model Network. DOE, 2015-2018. (Co-PI, PI: Ted Schuur, Northern Arizona University)


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.


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.


Most recent publications

  • Zhenggang Du, Xuhui Zhou, Junjiong Shao, Guirui Yu, Huimin Wang, Deping Zhai, Jianyang Xia, and Yiqi Luo. 2017. Quantifying uncertainties from additional nitrogen data and processes in a terrestrial ecosystem model with Bayesian probabilistic inversion. Journal of Advances inModeling Earth Systems, doi:10.1002/ 2016MS000687. [Download]
  • Yiqi Luo, Lifen Jiang, Shuli Niu and Xuhui Zhou. 2017. Nonlinear responses of land ecosystems to variation in precipitation. New Phytologist 214: 5–7. [Download]
  • Lifen Jiang, Jiang Jiang, Junyi Liang, Kevin R. Wilcox, Scott L. Collins, Alan K. Knapp, William T. Pockman, Melinda D. Smith, and Yiqi Luo. 2017. Frontiers of Ecosystem Modeling and Large Scale Experiments. In: Terrestrial Ecosystem Research Infrastructures Challenges, New developments and Perspectives (eds Chabbi A and HW Loescher). CRC Press, Florida, USA..