Contact Information
School of Integrative Plant Science
College of Agriculture and Life Sciences
Cornell University
E-mail Address: jz964@cornell.eduMember Profile
EDUCATION
2017.09 - 2021.12 PhD in Ecology
East China Normal University, Shanghai, China
Dissertation: “The uncertainty of simulation of carbon storage in terrestrial ecosystem and its causes traceability”
Advisor: Prof. Jianyang Xia, ECNU
2013.09 - 2016.03 MS in Agricultural Informatization
Zhejiang A&F University, Hangzhou, Zhejiang, China
2008.09 – 2012.06 BS in Land Resource Management (Geomatics)
Qingdao University of Technology, Qingdao, Shandong, China
RESEARCH INTERESTS
1. The uncertainty analysis of Earth system models.
Developed a new online model evaluation system based on traceability method: “Traceability analysis for Model evaluation (TraceMe)”.
2. Soil carbon cycle dynamics and its modeling.
Compared the linear conventional and nonlinear microbial models for simulating the soil carbon cycle; the application of Bayesian maximum entropy method in spatial distribution of soil heterotrophic respiration.
3. Carbon-water coupling cycle.
Developing the TECO model into a model suitable for the wetland ecosystem; try to evaluate the impact of different water cycle schemes on carbon cycle; exploring the application and development of traceability analysis in carbon-water coupling cycle.
SKILLS
1. Master the basic principles of carbon cycle modeling, and the localized operation of multiple models, including the CLM model, the CABLE model and the TECO model.
2. Familiar with traceability analysis methods, data assimilation methods and some machine learning algorithms, and their applications in carbon cycle model research.
3. Knowledge of computer skills. High proficiency in Python, MATLAB, Fortran and Linux. Some familiarity with R, database technology (MySQL), JAVA and PHP language, etc.
PUBLICATIONS
1. Zhou, J., Chen, S., Yan, L., Wang, J., Jiang, M., Liang, J., Zhang, X., Xia, J. (2021). A comparison of linear conventional and nonlinear microbial models for simulating pulse dynamics of soil heterotrophic respiration in a semi-arid grassland. Journal of Geophysical Research: Biogeosciences, 126(5), e2020JG006120.
2. Zhou, J., Xia, J., Wei, N., Liu, Y., Bian, C., Bai, Y., Luo, Y. (2021). A traceability analysis system for model evaluation on land carbon dynamics: design and applications. Ecological Processes, 10(1), 1-14.
3. Zhou, J. (2021). Practice 5 Traceability analysis for evaluating terrestrial carbon cycle models. in Land carbon cycle modeling: Matrix approach, data assimilation, and ecological forecasting (ed. by Luo Y & Smith B). Taylor & Francis Group, London. (book chapter)
4. Ping J., Zhou J., Huang K., Sun X., Sun H., Xia J. (2021). Modeling the typhoon disturbance effect on ecosystem carbon storage dynamics inn a subtropical forest of China’s coastal region. Ecological Modelling, 455, 109636.
5. Sun B., Jiang M., Han G., Zhang L., Zhou J., Bian C., Du Y., Yan L., Xia J. (2022). Experimental warming reduces ecosystem resistance and resilience to severe flooding in a wetland. Science Advance, 8(4), eabl9526.
6. Wei N., Cui E., Huang K., Du Z., Zhou J., Xu X., Wang J., Yan L., Xia J. (2019). Decadal stabilization of soil inorganic nitrogen as a benchmark for global land models. Journal of Advances in Modeling Earth Systems, 11, 1088-1099.
7. Wang J., Xia J., Zhou X., Huang K., Zhou J., Huang Y., Jiang L., Xu X., Liang J., Wang Y-P., Cheng X., Luo Y. (2019). Evaluating the simulated mean soil carbon transit times by Earth system models using observations. Biogeosciences, 16, 917-926.
8. Qiao Y., Wang J., Liang G., Du Z., Zhou J., Zhu C., Huang K., Zhou X., Luo Y., Yan L, Xia J. (2019). Global variation of soil microbial carbon-use efficiency in relation to growth temperature and substrate supply. Scientific Reports, 9, 5621.
9. Hu, J., Zhou, J., Zhou, G., Luo, Y., Xu, X., Li, P., Liang, J. 2016. Improving Estimations of Spatial Distribution of Soil Respiration Using the Bayesian Maximum Entropy Algorithm and Soil Temperature as Auxiliary Data. PLOS ONE, 11, e0146589.
10. Hu, J., Zhou, J., Zhou, G. (2014). Analysis of temperature spatial distribution in the tianmu mountain based on quadtree optimized bp neural networks. International Journal of Earth Sciences and Engineering, 7(6), 2564-2569.
