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, 2018-2022 (PI)Constraining the continental-scale terrestrial carbon cycle using NEON data. NSF, 2020-2024 (PI: Jingfeng Xiao, University of New Hampshire)

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

EcoLab graduate student Xin Huang's work published in Geoscientific Model Development was highlighted in the NAU Review.

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.

Work

Most recent publications

  • Xingzhao Huang, Can Cui, Enqing Hou, Fangbing Li, Wenjie Liu, Lifen Jiang, Yiqi Luo, Xiaoniu Xu. 2022. Acidification of soil due to forestation at the global scale. Forest Ecology and Management 505: 119951. [Download]
  • Yude Pan, Robert B Jackson, David Y Hollinger, Oliver L Phillips, Robert S Nowak, Richard J Norby, Ram Oren, Peter B Reich, Andreas Lüscher, Kevin E Mueller, Clenton Owensby, Richard Birdsey, John Hom, Yiqi Luo. 2022. Contrasting responses of woody and grassland ecosystems to increased CO2 as water supply varies. Nature Ecology & Evolution 1-9. [Download]
  • Xuehe Lu, Holly Croft, Jing M Chen, Yiqi Luo, Weimin Ju. 2022. Estimating photosynthetic capacity from optimized Rubisco–chlorophyll relationships among vegetation types and under global change. IOP Publishing 17: 15. [Download]