数据集
1. CSIF数据集 2000-2022
http://data.tpdc.ac.cn/en/data/d7cccf31-9bb5-4356-88a7-38c5458f052b/
2. VPM GPP 数据 2000-2018
500m https://doi.pangaea.de/10.1594/PANGAEA.879558?format=html#download
0.05度 http://data.tpdc.ac.cn/en/data/582663f5-3be7-4f26-bc45-b56a3c4fc3b7/
Google scholar: https://scholar.google.com/citations?user=r0l744oAAAAJ&hl=en
ResearchGate: https://www.researchgate.net/profile/Yao_Zhang29
H-index 56, Citations 9000 (google scholar)
斯坦福大学全球前2%科学家（2022-2024）
Clarivate Highly Cited Researcher (2024)
第一/通讯作者文章
27. Liu, Y., Zhang, Y.*, Peñuelas, P., Kannenberg, S.A., Gong, H., Yuan, W., Wu, C., Zhou, S., & Piao, S., (2025) Drought legacies delay spring green up in northern ecosystems. Nature Climate Change. https://doi.org/10.1038/s41558-025-02273-6
26. Lang, W., Zhang, Y.*, Li, X., Meng, F., Liu, Q., Wang, K., Xu, H., Chen, A., Peñuelas, J., Janssens, I, & Piao, S.*, (2025) Phenological divergence between plants and animals under climate change. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-024-02597-0
25. Li, J., Zhang, Y.*, Bevacqua, E., Zscheischler, J., Keenan, T.F., Lian, X., Zhou, S., Zhang, H., He, M., & Piao, S., (2024) Future increase in compound soil drought-heat extremes exacerbated by vegetation greening. Nature Communications. https://doi.org/10.1038/s41467-024-55175-0
24. Cai, M., Zhang, Y.*, Guan, X., & Qiu, J., (2024) An adaptive spatiotemporal tensor reconstruction method for GIMMS-3g+ NDVI. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2024.114511
23. Tan, S., Zhang, Y.*, Qi, J., Su, Y., Ma, Q. & Qiu, J., (2024) Exploring the potential of GEDI in Characterizing Tree Height Composition based on Advanced Radiative Transfer Model Simulations. Journal of Remote Sensing. https://doi.org/10.34133/remotesensing.0132
22. Zhang, Y.*, Cai, M., Xiao, X., Yang, X., Migliavacca, M., Basara, J., Zhou, S., & Deng, Y. (2024) Immediate and lagged vegetation responses to dry spells revealed by continuous solar-induced chlorophyll fluorescence observations at a tall grass prairie. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2024.114080
21. Zhang, Q., Zhang, G.*, Zhang, Y.*, Xiao, X., You, N., Li, Z., Tang, H., Yang, T., Di, Y. & Dong, J.*, (2023) Coupling GEDI LiDAR and optical satellite for revealing large-scale maize lodging in Northeastern China. Earth Future. https://doi.org/10.1029/2023EF003590
20. Zhang, Y.* & Penuelas, J.*, (2023) Combining solar-induced chlorophyll fluorescence and optical vegetation indices to better understand plant phenological responses to global change. Journal of Remote Sensing. https://doi.org/10.34133/remotesensing.0085
19. Zhou, S.*, Yu, B., Lintner, B.R., Findell, K. & Zhang, Y.*, (2023) Projected increase in global runoff dominated by land surface changes. Nature Climate Change. https://doi.org/10.1038/s41558-023-01659-8
Web of Science Highly Cited (1% in Geoscience)
18. Zhang, Y.*, Fang, J., Smith, W.K., Wang, X., Gentine, P., Scott, R., Migliavacca, M., Jeong, S., Litvak, M., Zhou, S., (2023) Satellite solar-induced chlorophyll fluorescence tracks physiological drought stress development during 2020 southwest US drought. Global Change Biology. https://doi.org/10.1111/gcb.16683
Highlighted by Science (https://doi.org/10.1126/science.adi2035)
17. Hong, S., Zhang, Y., Yao, Y., Meng, F., Zhao, Q. & Zhang, Y.*, (2022) Contrasting temperature effects on the velocity of early- versus late-stage vegetation green-up in the Northern Hemisphere. Global Change Biology. https://doi.org/10.1111/gcb.16414
16. Zhang, Y.*, Gentine, P., Luo, X., Xu, L., Liu, Y., Zhou, S., Michalak, A.M., Sun, W., Fisher, J.B., Piao, S.L. & Keenan, T.F.*, (2022) Increased sensitivity of dryland vegetation greenness to precipitation due to rising atmospheric CO2. Nature Communications. https://doi.org/10.1038/s41467-022-32631-3
Web of Science Highly Cited (1% in Geoscience)
15. Zhang, Y.*, Keenan, T.F.*, Zhou, S., (2021) Exacerbated drought impact on global ecosystem due to structural overshoot. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-021-01551-8
Web of Science Highly Cited (1% in Geoscience)
14. Zhang, Y.*, Commane, R., Zhou, S., Williams, A.P. & Gentine, P. (2020) Light limitation regulates the response of autumn terrestrial carbon uptake to warming. Nature Climate Change. 10, 739-743, https://doi.org/10.1038/s41558-020-0806-0
13. Zhang, Y.*, Parazoo, N., Williams, A.P., Zhou, S. & Gentine, P.* (2020) Large and projected strengthening moisture limitation on end-of-season photosynthesis. Proceedings of National Academy of Sciences. 117 (17) 9216-9222. https://doi.org/10.1073/pnas.1914436117
12. Zhang, Y.*, Zhou, S., Gentine, P., & Xiao, X. (2019) Can vegetation optical depth reflect changes in leaf water potential during soil moisture dry-down events? Remote Sensing of Environment. 234, 111451. https://doi.org/10.1016/j.rse.2019.111451
11. Zhang, Y.*, Joiner, J., Alemohammad, H., Zhou, S. & Gentine, P. (2018) A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences. 15, 5779-5800, https://doi.org/10.5194/bg-15-5779-2018
Web of Science Highly Cited (1% in Geoscience)
10. Zhang, Y.*, Xiao, X.*, Wolf, S., Wu, J., Wu, X., Gioli., B., Wohlfahrt, G., Cescatti, A., van der Tol, C., Zhou, S., Gough, C., Gentine, P., Zhang, Y., Steinbrecher, R., & Ardö, J. (2018) Spatio-temporal convergence of maximum daily light-use efficiency based on radiation absorption by canopy chlorophyll. Geophysical Research Letters. 45(8), 3508-3519. https://doi.org/10.1029/2017GL076354
9. Zhang, Y.*, Joiner, J., Gentine, P., & Zhou, S. (2018) Reduced solar-induced chlorophyll fluorescence from GOME-2 during Amazon drought caused by dataset artifacts. Global Change Biology. 24(6), 2229–2230. https://doi.org/10.1111/gcb.14134
8. Zhang, Y.*, Xiao, X.*, Zhang, Y., Wolf, S., Zhou, S., Joiner, J., Guanter, L., Verma, M., Sun, Y., Yang, X., Paul-Limoges, E., Gough, C., Wohlfahrt, G., Gioli, B., van der Tol, C., Yann, N., Lund, M., & Agnes de Grandcourt. (2018) On the relationship between sub-daily instantaneous and daily total gross primary production: implications for interpreting satellite-based SIF retrievals. Remote Sensing of Environment. 205, 276-289https://doi.org/10.1016/j.rse.2017.12.009
7. Zhang, Y.*, Xiao, X.*, Wu, X., Zhou, S., Zhang, G., Qin, Y., & Dong, J. (2017). A global moderate resolution dataset of gross primary production of vegetation for 2000-2016. Scientific Data. 4, 170165, https://doi.org/10.1038/sdata.2017.165
Web of Science Highly Cited (1% in Geoscience)
6. Zhang, Y.*, Xiao, X.*, Guanter, L., Zhou, S., Ciais, P., Joiner, J., Sitch, S., Wu, X.C., Nabel, J., Dong, J.W., Kato, E., Jain, A.K., Wiltshire, A., & Stocker, B.D. (2016). Precipitation and carbon-water coupling jointly control the interannual variability of global land gross primary production. Scientific Reports. 6, 39748. https://doi.org/10.1038/srep39748
5. Zhang, Y., Xiao, X.*, Jin, C., Dong, J., Zhou, S., Wagle, P., Joiner, J., Guanter, L., Zhang, Y., Zhang, G., Qin, Y., Wang, J., & Moore, B. (2016). Consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America. Remote Sensing of Environment. 183, 154-169 https://doi.org/10.1016/j.rse.2016.05.015
Web of Science Highly Cited (1% in Geoscience)
4. Zhang, Y., Xiao, X.*, Zhou, S., Ciais, P., McCarthy, H., & Luo, Y. (2016). Canopy and physiological controls of GPP during drought and heat wave. Geophysical Research Letters. 43(7), 3325-3333 https://doi.org/10.1002/2016GL068501
3. Zhang, Y., Peng, C.H., Li, W.Z.*, Tian, L.X., Zhu, Q.Q., Chen, H., Fang, X.Q., Zhang, G.L., Liu, G.M., Mu, X.M., Li, Z.B., Li, S.Q., Yang, Y.Z., Wang, J., & Xiao, X.M. (2016). Multiple afforestation programs accelerate the greenness in the 'Three North' region of China from 1982 to 2013. Ecological Indicators, 61, 404-412 https://doi.org/10.1016/j.ecolind.2015.09.041
2. Zhang, Y., Li, W.*, Zhu, Q., Chen, H., Fang, X., Zhang, T., Zhao, P., & Peng, C.* (2015). Monitoring the impact of aerosol contamination on the drought-induced decline of gross primary productivity. International Journal of Applied Earth Observation and Geoinformation. 36, 30-40 https://doi.org/10.1016/j.jag.2014.11.006
1. Zhang, Y., Peng, C., Li, W.*, Fang, X., Zhang, T., Zhu, Q., Chen, H., & Zhao, P. (2013). Monitoring and estimating drought-induced impacts on forest structure, growth, function, and ecosystem services using remote-sensing data: recent progress and future challenges. Environmental Reviews. 21(2), 103-115 https://doi.org/10.1139/er-2013-0006
