English website

教育经历

2014/08-2017/12 美国俄克拉荷马大学，植物与微生物系，博士

2011/09-2014/06 西北农林科技大学，林学院，硕士

2007/09-2011/06 南京大学，地理与海洋科学学院，学士

工作经历

2021/05 至今北京大学，城市与环境学院，助理教授/研究员

2019/08-2021/04 美国劳伦斯伯克利国家实验室，博士后

2017/12-2019/07 美国哥伦比亚大学，博士后

博士生导师/方向

植被遥感，全球环境变化，陆地生态系统碳水循环，干旱等极端事件，机器学习

杂志任职

《植物生态学报》编委（2024-）

《中国科学：地球科学》编委（2023-2027）

Young Editor Board Member for Journal of Remote Sensing (2022-)       

《遥感技术与应用》 青年编委 (2021-)

Review Editor for Frontiers in Artificial Intelligence (2018-)        

评审任职

项目评审

Reviewer for Belgian Science Policy Office (BELSPO) STEREO III (2018)

Reviewer for Elsevier book proposal (2019)

Reviewer for NASA ROSES proposal (2020)

期刊评审

Nature; Nature Climate Change; Nature Sustainability; Nature Geoscience; Nature Reviews Earth & Environment; Nature Communications; The Innovation; Remote Sensing of Environment; Global Change Biology; New Phytologist; Earth System Science Data; ISPRS Journal of Photogrammetry and Remote Sensing; Global Ecology and Biogeography; Agricultural and Forest Meteorology; Environmental Research Letters; Biogeosciences; Journal of Geophysical Research-Biogeoscience; Geophysical Research Letters; Ecological Applications; Frontiers in Artificial Intelligence; Landscape Ecology; Journal of Plant Ecology; International Journal of Applied Earth Observation and Geoinfomation; International Journal of Digital Earth; International Journal of Remote Sensing; Journal of Applied Remote Sensing; Remote Sensing; Remote Sensing Letters; Computers and Electronics in Agriculture.

研究组常年招收硕士、博士、博士后。欢迎对全球变化遥感，陆地生态系统碳水循环，气候变化及陆气反馈，土地利用变化，机器学习等研究方向感兴趣的同学加入研究组。也欢迎做拔尖计划的本科生加入。

讲授课程

遥感原理与应用  课程编号：12633120  专业必修  3学分 （主持）

陆气相互作用与全球变化 课程编号：12610280  研究生课程  2学分 （主持）

陆面过程模型和植被遥感实习  课程编号：12633130  专业选修  2学分 （参与）

自然地理博士生高级讲座  课程编号：12610140  研究生课程 (参与)

自然地理学进展   课程编号：12610010，研究生课程 (参与)

科技论文写作   课程编号：12613610，研究生课程 (参与)

指导学生

邓媛智子，2022级博士

邱靖皓，2023级博士

蔡孟阳，2023级博士

章红颖，2024级博士

江源天，2025级博士

杨天垚，2022级硕士

成竞扬，2023级硕士

杨力嘉，2024级硕士

黄骥飞，2025级硕士

陈慧娟，2022级本科

指导博士后

刘莹 （2022.07-）青年基金

李军 （2022.11-）博雅博士后，青年基金

龚海波 （2023.09-）

邱若楠 （2024.09-） 博雅博士后

已毕业学生

房佳宁 （2021.07-2021.09），暑期访问学生，美国哥伦比亚大学攻博

谭深 （2021.12-2024.02），博士后，北京林业大学讲师，博士后面上基金

胡蝶 （2022.07-2024.06），博雅博士后，中国地质大学（北京）讲师，博士后面上基金，青年基金

郭研 （2022.09-2024.06) ，硕士（客座）

研究兴趣

研究主要围绕遥感方法和数据在全球变化中的应用。基于新兴遥感数据反演获取植被的冠层结构，生理过程，功能服务等多个维度的信息，结合机器学习，统计模型等分析方法，研究生态系统的状态（states）、特征（traits）和速率（rates）。重点关注陆地生态系统碳水通量，植被物候变化对气候变化的响应与反馈，干旱等极端事件的产生机理及影响，人类活动、植被变化对地球系统的反馈等。

科研项目

国家自然科学基金优秀青年科学基金（海外）：全球变化植被遥感，2022/01-2024/12，主持

国家自然科学基金专项项目（42141005）：中国陆地生态系统固碳速率及其不确定性、稳定性和持续性研究，2022/01-2025/12，参与

国家自然科学基金面上项目（42371096）：基于日光诱导叶绿素荧光的植被干旱生理响应研究，2024/01-2027/12，主持

国家重点研发计划课题（2023YFF0805702）：长江流域复合型气候极端事件对自然和社会经济系统影响，2024/01-2028/12，主持

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

   26. Li, J., Zhang, Y.*, Lian, X., Zscheishler, J., Bevacqua, E., Zhou, S. Keenan, T.F., He, M., Piao, S., Future increase in compound hot-dry extremes exacerbated by vegetation greening. Nature Communications. (Accepted)

   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. https://doi.org/10.1038/s41559-024-02597-0 

   24. Cai, M., Zhang, Y.*, Guan, X., Qiu, J., 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 

   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

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 https://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 https://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. https://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 https://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. https://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, https://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. https://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 https://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, https://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, https://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 https://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, https://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, https://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, https://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; https://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, https://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 https://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. https://doi.org/10.1038/s41467-018-06765-2