Current research projects RCN: Forecasts Of Resource and Environmental Changes: data Assimilation Science and Technology (FORECAST). NSF, 2009-2014. (Principal Investigator)Effects of Warming the Deep Soil and Permafrost on Ecosystem Carbon Balance in Alaskan Tundra: A Coupled Measurement and Modeling Approach. DOE, 2011-2014. (Co-PI, PI: Ted Schuur, University of Florida) Model-Data Synthesis of Terrestrial Responses to Elevated CO2: Phase 2 of an ongoing collaboration between ecosystem and global modelers and empirical scientists from long-term CO2 enrichment experiments. DOE, 2012-2014. (Co-PI, PI: Rich Norby, ORNL)Development of a Data Assimilation Capability towards Ecological Forecasting in a Data-Rich Era. NSF, 2009-2012. (Principal Investigator)From Community Structure to Functions: Metagenomics-Enabled Predictive Understanding of Temperature Sensitivity of Soil Carbon Decomposition to Climate Warming. DOE, 2010-2013. (Co-PI, PI: Jizhong Zhou, University of Oklahoma)A cyberCommons for Ecological Forecasting. NSF EPSCoR, 2009-2012. (Co-PI and lead scientist for Oklahoma, PI: Paul Risser, University of Oklahoma) Data Synthesis and Data Assimilation at Global Change Experiments and FLUXNET toward Improving Land Process Models. DOE, 2012-2015. (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)LTREB: Effects of Warming and Clipping on Coupling of Carbon and Water Cycles in a Tallgrass Prairie. NSF, 2008-2013. (Principal Investigator)


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

  • Xia Xu, Zheng Shi, Dejun Li, Ana Rey, Honghua Ruan, Joseph M. Craine, Junyi Liang, Jizhong Zhou, Yiqi Luo. 2015. Soil properties control decomposition of soil organic carbon: results from data-assimilation analysis. Geoderma, doi: 10.1016/j.geoderma.2015.08.038.. [Download]
  • Yaozhan Xu, Scott B. Franklin, Qinggang Wang, Zheng Shi, Yiqi Luo, Zhijun Lu, Jiaxin Zhang, Xiujuan Qiao, Mingxi Jiang. 2015. Topographic and biotic factors determine forest biomass spatial distribution in a subtropical mountain moist forest. Forest Ecology and Management 357: 95–103. [Download]
  • Han, G., X. Chu, Q. Xing, D. Li, J. Yu, Y. Luo, G. Wang, P. Mao, and R. Rafique. 2015. Effects of episodic flooding on the net ecosystem CO2 exchange of a supratidal wetland in the Yellow River Delta. Journal of Geophysical Research: Biogeosciences, 120, doi:10.1002/2015JG002923. [Download]