Name: FU Zheng, Professor, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

Address: 11A Datun Road, An Wai, Beijing, 100101, China

E-mail: fuzheng@igsnrr.ac.cn 

Research Interests: Global change ecology, Ecosystem ecology, Biogeochemistry, Biosphere-atmosphere interactions.

His research centers on the biosphere–atmosphere exchange of carbon, water and energy, with a particular emphasis on understanding how terrestrial ecosystems respond to global change and its feedback mechanisms across various spatial and temporal scales. His research leverages interdisciplinary knowledge and diverse tools (experiment, eddy-covariance, remote sensing, models, machine learning and big data analytics) to explore how global change alters structure and functions of terrestrial ecosystems, and how terrestrial ecosystems, in turn, regulate climate change. 

Education

2014-2019: Ph.D. in Ecology, University of Chinese Academy of Sciences, China

2010-2014: B.S. in Forestry, Northwest Agriculture & Forestry University, China 

Professional Experience

2024 – Present, Professor, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China  

2019 – 2023, Postdoctoral Fellow, Laboratoire des Sciences du Climat et de l’Environnement (LSCE), France 

Publications

1.      Fu, Z. *, Ciais, P., Prentice, I. C., Gentine, P., Makowski, D., Bastos, A., Luo, X., Green, J., Stoy, P., Yang, H., Hajima, T., 2022. Atmospheric dryness reduces photosynthesis along a large range of soil water deficits. Nature Communications, https://doi.org/10.1038/s41467-022-28652-7. 

2.      Fu, Z. *, Ciais, P., Fedlman, A., Gentine, P., Makowski, D., Prentice, I. C., Stoy, P., Bastos, A, Wigneron, J., 2022. Critical soil moisture thresholds of plant water stress in terrestrial ecosystems. Science Advances, https://www.science.org/doi/10.1126/sciadv.abq7827.

3.      Fu, Z. *, Ciais, P., Makowski, D., Bastos, A., Stoy, P.C., Ibrom, A., Knohl, A., Migliavacca, M., Cuntz, M., and Peichl, M., 2021. Uncovering the critical soil moisture thresholds of plant water stress for European ecosystems. Global Change Biology, https://doi.org/10.1111/gcb.16050.

4.      Fu, Z. *, Ciais, P., Bastos, A., Stoy, P.C., Yang, H., Green, J.K., Wang, B., Yu, K., Huang, Y., Knohl, A. and ?igut, L., 2020. Sensitivity of gross primary productivity to climatic drivers during the summer drought of 2018 in Europe. Philosophical Transactions of the Royal Society B, 375(1810), p.20190747. http://dx.doi.org/10.1098/rstb.2019.0747.

5.      Fu, Z., Stoy, P., Poulter, B., Gerken, T., Zhang, Z., Wakbulcho, G. and Niu, S., 2019. Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange. Global Change Biology, https://doi.org/10.1111/gcb.14731.

6.      Liu, X., Sun, G., Fu, Z.*, Ciais, P., Feng, X., Li, J. and Fu, B. *, 2023. Compound droughts slow down the greening of the Earth. Global Change Biology, 29(11), https://doi.org/10.1111/gcb.16657.

7.      Fu, Z., Gerken, T., Bromley, G., Araújo, A., Bonal, D., Burban, B., Ficklin, D., Goulden, M., Hirano, T., Kosugi, Y., Niu, S., Olivier, R., Stefani, P., Xiao, J., Valentini, R., Wolf, S. and Stoy, P., 2018. The surface-atmosphere exchange of carbon dioxide in tropical rainforests: Sensitivity to environmental drivers and flux measurement methodology. Agricultural and Forest Meteorology, 263, pp.292-307, https://doi.org/10.1016/j.agrformet.2018.09.001.

8.      Fu, Z., Stoy, P.C., Luo, Y., Chen, J., Sun, J., Montagnani, L., Wohlfahrt, G., Rahman, A.F., Rambal, S., Bernhofer, C., Wang, J. and Niu, S. 2017. Climate controls over the net carbon uptake period and amplitude of net ecosystem production in temperate and boreal ecosystems. Agricultural and Forest Meteorology, https://doi.org/10.1016/j.agrformet.2017.05.009.

9.      Fu, Z., Dong, J., Zhou, Y., Stoy, P.C. and Niu, S., 2017. Long term trend and interannual variability of land carbon uptake—the attribution and processes. Environmental Research Letters, 12(1), https://iopscience.iop.org/article/10.1088/1748-9326/aa5685.

10.   Fu, Z., Li, D., Hararuk, O., Schwalm, C., Luo, Y., Yan, L. and Niu, S., 2017. Recovery time and state change of terrestrial carbon cycle after disturbance. Environmental Research Letters, https://doi.org/10.1088/1748-9326/aa8a5c.

11.   Fu, Z., Niu, S. and Dukes, J., 2015. What have we learned from global change manipulative experiments in China? A meta-analysis. Scientific Reports, DOI: 10.1038/srep12344, https://www.nature.com/articles/srep12344.

12.   Bastos, A., Ciais, P., Friedlingstein, P., Sitch, S., Pongratz, J., Fan, L., Wigneron, J.P., Weber, U., Reichstein, M., Fu, Z., Anthoni, P., Arneth, A., Haverd, V., Jain, A., Joetzjer, E., Knauer, J., Lienert, S., Loughran, T., McGuire, P., Tian, H., Viovy, N., Zaehle, S., 2020. Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity. Science Advances, https://www.science.org/doi/10.1126/sciadv.aba2724.

13.   Niu, S., Fu, Z., Luo, Y., Stoy, P.C. Keenan, T., Poulter, B., Piao, S., Zhou, X., Zhen, H., Han, J., Wang, Q. and Yu, G., 2017. Interannual variability of ecosystem carbon exchange: From observation to prediction. Global Ecology and Biogeography, https://doi.org/10.1111/geb.12633.

14.   Bastos, A., Fu, Z., Ciais, P., Friedlingstein, P., Sitch, S., Pongratz, J., Weber, U., Reichstein, M., Anthoni, P., Arneth, A. and Haverd, V., 2020. Impacts of extreme summers on European ecosystems: a comparative analysis of 2003, 2010 and 2018. Philosophical Transactions of the Royal Society B, https://royalsocietypublishing.org/doi/10.1098/rstb.2019.0507.

15.   Wang, H., Yan S, Ciais P, Wigneron JP, Liu L, Li Y, Fu, Z., Ma H, Liang Z, Wei F, Wang Y., 2022. Exploring complex water stress–gross primary production relationships: Impact of climatic drivers, main effects, and interactive effects. Global Change Biology, https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.16201.

16.   Li, Z., Zeng, Z., Tian, D., Wang, J., Fu, Z., Wang, B., Tang, Z., Chen, W., Chen, H.Y., Wang, C. and Niu, S., 2020. The stoichiometry of soil microbial biomass determines metabolic quotient of nitrogen mineralization. Environmental Research Letters, https://iopscience.iop.org/article/10.1088/1748-9326/ab6a26.

17.   Li, Z., Zeng, Z., Tian, D., Wang, J., Fu, Z., Zhang, F., Zhang, R., Chen, W., Luo, Y. and Niu, S., 2020. Global patterns and controlling factors of soil nitrification rate. Global Change Biology, https://doi.org/10.1111/gcb.15119.

18.   Zhang, T., Yu, G., Chen, Z., Hu, Z., Jiao, C., Yang, M., Fu, Z., Zhang, W., Han, L., Fan, M. and Zhang, R., 2020. Patterns and controls of vegetation productivity and precipitation-use efficiency across Eurasian grasslands. Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2020.140204.

19.   Zhang, T., Chen, Z., Zhang, W., Jiao, C., Yang, M., Wang, Q., Han, L., Fu, Z., Sun, Z., Li, W. and Yu, G., 2021. Long-term trend and interannual variability of precipitation-use efficiency in Eurasian grasslands. Ecological Indicators, https://doi.org/10.1016/j.ecolind.2021.108091.

20.   Wang, H., Yan S, Ciais P, Wigneron JP, Liu L, Li Y, Fu, Z., Ma H, Liang Z, Wei F, Wang Y., 2022. Exploring complex water stress–gross primary production relationships: Impact of climatic drivers, main effects, and interactive effects. Global Change Biology, https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.16201.

21.   Wang, Y., Fu, Z., Hu Z, Niu S., 2022. Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient. Journal of Geophysical Research: Biogeosciences, https://doi.org/10.1029/2021JG006753.

22.   Wang, S., Chen W, Fu, Z., Li Z, Wang J, Liao J, Niu S., 2022. Seasonal and Inter-Annual Variations of Carbon Dioxide Fluxes and Their Determinants in an Alpine Meadow. Frontiers in plant science, https://doi.org/10.3389/fpls.2022.894398.

23.   Wang, B., Chen W, Dai J, Li Z, Fu, Z., Sarmah S, Luo Y, Niu S., 2022. Dryness controls temperature-optimized gross primary productivity across vegetation types. Agricultural and Forest Meteorology, https://doi.org/10.1016/j.agrformet.2022.109073.

24.   Ma, H., Li X, J Zeng, X Zhang, J Dong, N Chen, L Fang, M Sadegh, F Frappart, X Liu, Mengjia Wangi Huan Wang, Fu, Z., Z Xing, Ciais P, Jean-Pierre Wigneron. 2022. A first assessment of L-band surface soil moisture products from SMOS and SMAP in the tropical areas. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2022.113344.

25.   Ran, Q., Ciais, P., Chunjing Qiu, Fu, Z., Ronghai Hu, Kai Xue, Yanfeng Wang. 2022. The status and driving factors of surface water dynamics on the Qinghai-Tibet Plateau during 2000-2020. Transactions on Geoscience and Remote Sensing. https://ieeexplore.ieee.org/document/9996413.

26.   Tang, A.C.I., Flechard, C.R., Arriga, N., Papale, D., Stoy, P.C., Buchmann, N., Cuntz, M., Douros, J., Fares, S., Knohl, A. and ?igut, L., Fu, Z., Flechard, C., Simioni, G., Fares, S., Loustau, D. 2023. Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2023.166149.

27.   Wang, B., Chen W, Tian, D., Li, Z., Wang, J., Fu, Z., Luo, Y., Piao, S., Yu, G. and Niu, S. 2023. Dryness limits vegetation pace to cope with temperature change in warm regions. Global Change Biology, 29(17), pp.4750-4757. https://doi.org/10.1111/gcb.16842.

28.   Zheng, C., Chen J, Chen, B., Zhu, K., Fu, Z., and Wang, S. 2023. Divergent impacts of VPD and SWC on ecosystem carbon-water coupling under different dryness conditions. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2023.167007.

29.   Wang, H., Yan, S., Ciais, P., Wigneron, JP., Fu, Z., Green, J., Ma, H., Liang Z, Wei F, Wang Y. 2023. Anthropogenic disturbance exacerbates resilience loss in the Amazon rainforests. Global Change Biology, https://doi.org/10.1111/gcb.17006.

 

Google Scholar: https://scholar.google.com/citations?user=_YASpQ8AAAAJ&hl=en

ResearchGate: https://www.researchgate.net/profile/Zheng-Fu-7