In Review or Revision

Published (* = corresponding author; underline = mentored student; reverse-chronological)

1. Quan Q., J. Zhou, P.J. Hanson, D. Ricciuto, S.D. Sebestyen, D.J. Weston, J.P. Chanton. R.M. Wilson, J.E. Kostka, Y. Zhou, N. Wei, L. Jiang, M.A. Mayes, J.M. Stelling, A.D. Richardson, M.E. Dusenge, D. Way, J. Warren, Y. Luo. Drought-induced peatland carbon loss exacerbated by elevated CO2 and warming. Science 390,367-370(2025).DOI:10.1126/science.adv7104. 

2. Dong, Y., Zhou, Y.*, Zhang, L., Tian, F., Xie, Q., Chen, Y., Ruan, L., Zhang, B. An Enhanced Phenology Dataset for Global Drylands from 2001 to 2019.  Sci Data 12, 1167 (2025). https://doi.org/10.1038/s41597-025-05519-2.   

3. Luo, Y., Wei, N., Lu, X., Zhou, Y., Tao, F., Jiang, L., Liao, C., Huang, Y., Niu, S., Xia, J., Quan, Q., Houlton, B., Crow, S., Xu, X., Sun, Y., Zeng, N., Goodale, C.L., Koven, C., & Field, C. (2025). Large CO2 removal potential of woody debris preservation in managed forests. Nat. Geosci. (2025). https://doi.org/10.1038/s41561-025-01731-2. 

4. Zhou, Y.* & Williams, C. A. (2025). Forest carbon modeling improved through hierarchical assimilation of pool-based measurements. Journal of Advances in Modeling Earth Systems, 17, e2024MS004622. https://doi.org/10.1029/2024MS004622. 

5. Zhou, Yu. "Hybrid Modeling in Earth System Science." In Land Carbon Cycle Modeling, pp. 253-257. CRC Press. 

6. Ruehr S, Keenan TF, Williams C, Zhou Y, Lu X, Bastos A, Canadell JP, Prentice IC, Sitch S, & Terrer. C Evidence and attribution of the enhanced land carbon sink. Nat Rev Earth Environ (2023). https://doi.org/10.1038/s43017-023-00456-3 

7. Jennifer A. Rudgers,  Anthony Luketich,  Melissa Bacigalupa,  Lauren E. Baur,  Scott L. Collins,  Kristofer M. Hall,  Enqing Hou,  Marcy E. Litvak,  Yiqi Luo,  Tom E. X. Miller,  Seth D. Newsome,  William T. Pockman,  Andrew D. Richardson,  Alex Rinehart,  Melissa Villatoro-Castañeda,  Brooke E. Wainwright,  Samantha J. Watson,  Purbendra Yogi,  Yu Zhou. (2023) Infrastructure to Factorially Manipulate the Mean and Variance of Precipitation in the Field. Ecosphere 14( 7): e4603. https://doi.org/10.1002/ecs2.4603 

8. Dong, Y., Zhou, Y.*, Zhang, L., Gu, Y., Sutrisno, D. (2023) Intensive land-use is associated with development status in port cities of Southeast Asia. Environmental Research Letters.  https://doi.org/10.1088/1748-9326/acc2d2 

9. Hou, E., Ma, S., Huang, Y., Zhou, Y., Kim, H.-S., López-Blanco, E., Jiang, L., Xia, J., Tao, F., Williams, C., Williams, M., Ricciuto, D., Hanson, P. J., & Luo, Y. (2023). Across-model spread and shrinking in predicting peatland carbon dynamics under global change. Global Change Biology, 00, 1– 17. https://doi.org/10.1111/gcb.16643. 

10. Sun J, Wei X, Zhou Y, Chan C, Diao J. Hurricanes Substantially Reduce the Nutrients in Tropical Forested Watersheds in Puerto Rico. Forests. 2022; 13(1):71. https://doi.org/10.3390/f13010071.

11. Gourdji, S. M., Karion, A., Lopez-Coto, I., Ghosh, S., Mueller, K. L., Zhou, Y., et al. (2022). A modified Vegetation Photosynthesis and Respiration Model (VPRM) for the eastern USA and Canada, evaluated with comparison to atmospheric observations and other biospheric models. Journal of Geophysical Research: Biogeosciences, 127, e2021JG006290. https://doi.org/10.1029/2021JG006290. 

12. Zhou, Y.*, Williams, C.A., Hasler, N., Huan, G., & Kennedy, R. (2021). Linking Biomass to Carbon Fluxes: A Comprehensive Monitoring of Forest Carbon Changes. Environmental Research Letters, https://doi.org/10.1088/1748-9326/abf06d. .  (pdf copy)

13. Yaxing Wei, and co-authors (2021). Atmospheric Carbon and Transport – America (ACT-America) data sets: Description, management, and delivery. Earth and Space Science, 8, e2020EA001634. https://doi.org/10.1029/2020EA001634. 

14. Feng, S., Lauvaux, T., Williams, C., Davis, K., Zhou, Y., Baker, I., Barkley, Z., and Wesloh, D. (2021). Joint CO2 mole fraction and flux analysis confirms missing processes in CASA terrestrial carbon uptake over North America. Global Biogeochemical Cycles, 35, e2020GB006914. https://doi.org/10.1029/2020GB006914.

15. Gafforov, Y., Ordynets, A., Langer, E., Yarasheva, M., Gugliotta, A. D. M., Schigel, D., Pecoraro, L., Zhou, Y., Cai, L. & Zhou, L.-W. (2020). Species diversity with comprehensive annotations of wood-inhabiting poroid and corticioid fungi in Uzbekistan. Frontiers in Microbiology, 11, 3047, doi: 10.3389/fmicb.2020.598321.   (pdf copy)

16. Zhou, Y.*, C. A. Williams, T. Lauvaux, K. J. Davis, S. Feng, I. Baker, S. Denning, and Y. Wei (2020), A Multiyear Gridded Data Ensemble of Surface Biogenic Carbon Fluxes for North America: Evaluation and Analysis of Results, Journal of Geophysical Research: Biogeosciences, 125(2), e2019JG005314, doi:10.1029/2019jg005314.(pdf copy)

17. Zhang, L., Xiao, J., Zheng, Y., Li, S., Zhou, Y. (2020). Increased carbon uptake and water use efficiency in global semi-arid ecosystems. Environmental Research Letters, https://doi.org/10.1088/1748-9326/ab68ec. (pdf copy)

18. Feng, S., T. Lauvaux, K. J. Davis, K. Keller, Y. Zhou, C. Williams, A. E. Schuh, J. Liu, and I. Baker (2019), Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large-Scale Boundary Inflow in Atmospheric CO2 Simulations Over North America, Journal of Geophysical Research: Atmospheres, 124(24), 14325-14346, doi:10.1029/2019jd031165. (pdf copy)

19. Gu, H., Williams, C. A., Hasler, N., & Zhou, Y. ( 2019). The carbon balance of the southeastern U.S. forest sector as driven by recent disturbance trends. Journal of Geophysical Research: Biogeosciences, 124. https://doi.org/10.1029/2018JG004841. (pdf copy)

20. Zhou, Y., Zhang, L., Xiao, J., Williams, C.A., Vitkovskaya, I., & Bao, A. (2019). Spatiotemporal transition of institutional and socioeconomic impacts on vegetation productivity in Central Asia over last three decades. Science of the Total Environment, 658, 922-935. (pdf copy)

21. Yan, M., Z. Li, X. Tian, L. Zhang, & Y. Zhou. (2019). Improved simulation of carbon and water fluxes by assimilating multi-layer soil temperature and moisture into process-based biogeochemical model, Forest Ecosystems, 6(1), 12, doi:10.1186/s40663-019-0171-5. (pdf copy)

22. Feng, Q., Zhou, L., Chen, E., Liang, X., Zhao, L., & Zhou, Y. (2017). The Performance of Airborne C-Band PolInSAR Data on Forest Growth Stage Types Classification. Remote Sensing, 9, 955. (pdf copy)

23. Zhang, L., Xiao, J., Zhou, Y., Zheng, Y., Li, J., & Xiao, H. (2016). Drought events and their effects on vegetation productivity in China. Ecosphere, 7(12). (pdf copy)

24. Zhou, Y., Zhang, L., Fensholt, R., Wang, K., Vitkovskaya, I., & Tian, F. (2015). Climate contributions to vegetation variations in central Asian drylands: Pre-and post-USSR collapse. Remote Sensing, 7(3), 2449-2470. (pdf copy)

25. Xiao, J., Zhou, Y., & Zhang, L. (2015). Contributions of natural and human factors to increases in vegetation productivity in China. Ecosphere, 6(11), 1-20. (pdf copy)

26. Zhou, Y., Zhang, L., Xiao, J., Chen, S., Kato, T., & Zhou, G. (2014). A Comparison of Satellite-Derived Vegetation Indices for Approximating Gross Primary Productivity of Grasslands. Rangeland Ecology & Management, 67, 9-18. (pdf copy)

27. Zhang, B., Zhang, L., Guo, H., Leinenkugel, P., Zhou, Y., Li, L., & Shen, Q. (2014). Drought impact on vegetation productivity in the Lower Mekong Basin. International Journal of Remote Sensing, 35, 2835-2856. (pdf copy)

28. Zheng, Y., Zhang, L., Zhou, Y., & Zhang, B. (2017). Vegetation change and its driving factors in global drylands during the period of 1992-2012. Arid Zone Research, 34, no. 1 (2017): 59-66. DOI: 10.13866/j.azr.2017.01.08. (pdf copy)

29. Liu, C., Zhang, L., Zhou, Y., Zhang, B., & Hou, X. Retrieval and analysis of grassland coverage in arid Xinjiang, China and five countries of Central Asia. Pratacultural Science (in Chinese),2016,33(5): 861-870. DOI: 10.11829/j.issn.1001-0629.2015.0503. (pdf copy)

30. Zhang, J., Zhang. L., Zheng, Y., Tian X., Zhou, Y. Simulation of vegetation net primary productivity and evapotranspiration based on LPJ model in Central Asia. Pratacultural Science (in Chinese),2015,32(11): 1721-1729. DOI: 10.11829\j.issn.1001-0629.2015-0103. (pdf copy)

31. Liu, S., Zhang, L., Wang, C., Yan, M., Zhou, Y., & Lu, L. Analysis of Vegetation Phenology in the Tibetan Plateau Using MODIS data (2000-2010). Remote sensing information (in Chinese), 2014,(6):25-30.DOI:10.3969/j.issn.1000-3177.2014.06.006. (pdf copy)

Awards 

1. NASA Group Achievement Award, ACT-America, 2020.