数据集
1. CSIF数据集 2000-2022
//data.tpdc.ac.cn/en/data/d7cccf31-9bb5-4356-88a7-38c5458f052b/
2. VPM GPP 数据 2000-2018
500m //doi.pangaea.de/10.1594/PANGAEA.879558?format=html#download
0.05度 //data.tpdc.ac.cn/en/data/582663f5-3be7-4f26-bc45-b56a3c4fc3b7/
Google scholar: //scholar.google.com/citations?user=r0l744oAAAAJ&hl=en
ResearchGate: //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., Drought legacies delay spring green up in northern ecosystems. Nature Climate Change. (in Press)
26. Li, J., Zhang, Y.*, Lian, X., Zscheischler, J., Bevacqua, E., Zhou, S., Zhang, H., Keenan, T.F., He, M., & Piao, S., (2024) Future increase in compound soil drought-heat extremes exacerbated by vegetation greening. Nature Communications. //doi.org/10.1038/s41467-024-55175-0
25. Lang, W., Zhang, Y.*, Li, X., Meng, F., Liu, Q., Wang, K., Xu, H., Chen, A., Peñuelas, J., Janssens, I, & Piao, S.*, (2024) Phenological divergence between plants and animals under climate change. Nature Ecology & Evolution. //doi.org/10.1038/s41559-024-02597-0
24. Cai, M., Zhang, Y.*, Guan, X., & Qiu, J., (2024) An adaptive spatiotemporal tensor reconstruction method for GIMMS-3g+ NDVI. Remote Sensing of Environment. //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 //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. //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. //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. //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. //doi.org/10.1038/s41558-023-01659-8
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. //doi.org/10.1111/gcb.16683
Highlighted by Science (//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. //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. //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. //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, //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. //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. //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, //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. //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. //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, 276-289//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, //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. //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 //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 //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 //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 //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 //doi.org/10.1139/er-2013-0006
部分合作文章
18. Lian, X.*, Peñuelas, J., Ryu, Y., Piao, S., Keenan, T., Fang, J., Yu, K., Chen, A., Zhang, Y., Gentine, P., (2024) Diminishing carryover benefits of earlier spring vegetation growth. Nature Ecology & Evolution //doi.org/10.1038/s41559-023-02272-w
17. Keenan, T.F.*, Luo, X., Stocker, B., De Kauwe, M., Medlyn, B., Prentice, I.C., Smith, N.G., Terrer, C., Wang, H., Zhang. Y., Zhou, S., (2023) A Constraint on historic growth in global photosynthesis due to rising CO2. Nature Climate Change //doi.org/10.1038/s41558-023-01867-2
16. Ma, Q., Su, Y.*, Niu, C., Ma, Q., Hu, T., Luo, X., Tai, X., Qiu, T., Zhang, Y., Bales, R., Liu, L., Kelly, M., Guo, Q., (2023) Tree mortality during long-term droughts is lower in structurally complex forest stands. Nature Communications. //doi.org/10.1038/s41467-023-43083-8
15. Sun, W., Luo, X, Fang, Y, Shiga, Y, Zhang, Y, Fisher, J, Keenan, T, Michalak, A, (2023) Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations, Nature Ecology & Evolution //doi.org/10.1038/s41559-023-02093-x
14. Zhou, S., Yu, B. & Zhang, Y., (2023) Global concurrent climate extremes exacerbated by anthropogenic climate change, Science Advances. 9, eabo1638. //doi.org/10.1126/sciadv.abo1638
13. Zhao, Q., Zhu, Z.*, Zeng, H., Myneni, R., Zhang, Y., Peñuelas, J., Piao, S.*, (2022) Seasonal peak photosynthesis is hindered by late canopy development in northern ecosystems, Nature Plants, //doi.org/10.1038/s41477-022-01278-9
12. Zhou, S., Williams, A.P., Lintner, B.R., Findell, K.L., Keenan, T.F., Zhang, Y. & Gentine, P., (2022) seasonal water availability. Diminishing seasonality of subtropical water availability in a warmer world dominated by soil moisture–atmosphere feedbacks, Nature Communications. 13, 5756. //doi.org/10.1038/s41467-022-33473-9
11. Luo, X., Keenan, T.F., Chen, J.M., Croft, H., Prentice, I.C., Smith, N.G., Walker, A.P., Wang, H., Wang, R., Xu, C.& Zhang, Y., (2021) Global variation in the fraction of leaf nitrogen allocated to photosynthesis. Nature Communications, 12: 4866 //doi.org/10.1038/s41467-021-25163-9
10. Qin, Y., Xiao, X., Wigneron, J.P., Ciais, P., Brandt, M., Fan, L., Li, X., Crowell, S., Wu, X., Doughty, R., Zhang, Y., Liu, F., Sitch, S. & Moore, B., (2021) Carbon loss from forest degradation exceeds that from the Brazilian Amazon. Nature Climate Change 11, 442-448, //doi.org/10.1038/s41558-021-01026-5
9. Zhou, S., Williams, A. P., Lintner, B., Berg, A., Zhang, Y., Keenan, T. F., Cook, B. I., Hagemann, S., Seneviratne, S. I., Gentine, P., (2021) Soil moisture-atmosphere feedbacks mitigate declining water availability in drylands. Nature Climate Change 11, 38-44, //doi.org/10.1038/s41558-020-00945-z
8. Green, J., Berry, J.†, Ciais, P.†, Zhang, Y.†, Gentine, P., (2020) Amazon rainforest photosynthesis increases in response to atmospheric dryness. Science Advances. 6, 47, eabb7232 //doi.org/10.1126/sciadv.abb7232 (†contribute equally)
7. Keenan, T., Luo, X., Zhang, Y., & Zhou, S. (2020) Ecosystem aridity and atmospheric CO2, Science, 368 (6488), 251-252, //doi.org/10.1126/science.abb5449
6. Zhang, G., Xiao, X., Dong, J., Xin, F., Zhang, Y., Qin, Y. Doughty, R. & Moore, B., (2020) Fingerprint of rice paddies in spatial-temporal dynamics of atmospheric methane concentration in monsoon Asia. Nature Communications. 11, 554, //doi.org/10.1038/s41467-019-14155-5
5. Yin, J., Gentine, P., Guo, S., Zhou, S., Sullivan, S., Zhang, Y., Gu, L. & Liu, P., (2019) Reply to Increases in temperature do not translate to increased flooding. Nature Communications. 10:5675, //doi.org/10.1038/s41467-019-13613-4
4. Zhou, S., Williams, A.P., Berg, A., Cook, B., Zhang, Y., Hagemann, S., Lorenz, R., Seneviratne, S., & Gentine, P., (2019) Land–atmosphere feedbacks exacerbate concurrent soil drought and atmospheric aridity. Proceedings of National Academy of Sciences. 116(38), 18848-18853; //doi.org/10.1073/pnas.1904955116
3. Qin, Y., Xiao, X., Dong, J., Zhang, Y., Wu, X., Shimabukuro, Y., Arai, E., Biradar, C., Wang, J., Zou, Z., Liu, F. & Moore, B. (2019) Improved estimates of forest cover and loss in the Brazilian Amazon in 2000–2017. Nature Sustainability. 2, 764-772, //doi.org/10.1038/s41893-019-0336-9
2. Zhou, S., Zhang, Y., Williams, A., & Gentine, P. (2019) Projected increases in intensity, frequency, and terrestrial carbon costs of compound drought and aridity events. Science Advance. 5:eaau5740 //doi.org/10.1126/sciadv.aau5740
1. Yin, J., Gentine, P., Zhou, S., Sullivan, S., Wang, R., Zhang, Y. & Guo, S. (2018) Large increase in global storm runoff extremes driven by climate and anthropogenic changes. Nature Communication. 9:4389. //doi.org/10.1038/s41467-018-06765-2
