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

  • Jian Zhou, Jianyang Xia, Ning Wei, Yufu Liu, Chenyu Bian, Yuqi Bai, Yiqi Luo. 2021. A traceability analysis system for model evaluation on land carbon dynamics: design and applications. Ecological Processes 10:12. [Download]
  • Fuqiang Wang, Jiwang Tang, Zhaolei Li, Jie Xiang, Liwei Wang, Li Tian, Lifen Jiang, Yiqi Luo, Enqing Hou, Xiaoming Shao. 2021. Warming reduces the production of a major annual forage crop on the Tibetan Plateau. Science of The Total Environment, 798: 149211. [Download]
  • Wenjie Liu, Yamin Jiang, Qiu Yang, Huai Yang, Yide Li, Zhaolei Li, Wei Mao, Yiqi Luo, Xu Wang, Zhenghong Tan. 2021. Spatial distribution and stability mechanisms of soil organic carbon in a tropical montane rainforest. Ecological Indicators, 129: 107965. [Download]