教育(访问)经历:
2014年9月-2018年12月:南京大学 生态学 博士
2015年9月-2017年10月:美国海洋生物实验室 生态学 博士联合培养
2011年9月-2014年6月:南京林业大学 环境科学专业 硕士
2007年9月-2011年6月:南京林业大学 环境科学专业 学士
工作经历:
2019年3月-2022年4月:西北农林科技大学 农业资源与环境 博士后(助理研究员)
2022年4月-2022年9月:西北农林科技大学 农业资源与环境 博士后(副研究员)
2022年9月-至今:西北农林科技大学 水土保持研究所,副研究员
2.中国博士后科学基金面上项目(2019M663828) 干旱胁迫下日光诱导叶绿素荧光和作物生产力关联机制 2019/11至2022/09 主持
3.国家自然科学基金面上项目(42071328) 作物日光诱导叶绿素荧光与光合作用对环境胁迫的协同响应及多尺度关联机制估算 2021/01–2024/12 参与
4.国家自然科学基金面上项目(41971132) 黄土高原刺槐人工林对干旱胁迫的生理生态响应及其模拟 2020/01–2023/12 参与
(1)Liu, Z., Zhao, F., Liu, X., Yu, Q., Wang, Y., Peng, X., Cai, H., & Lu, X. (2022). Direct estimation of photosynthetic CO2 assimilation from solar-induced chlorophyll fluorescence (SIF). Remote Sensing of Environment, 271, 112893-112893
(2)Liu, Z., Guo, C., Bai, Y., Zhang, N., Yu, Q., Zhao, F., & Lu, X. (2021). Far-Red Chlorophyll Fluorescence Radiance Tracks Photosynthetic Carbon Assimilation Efficiency of Dark Reactions. Applied Sciences, 11, 10821
(3)Liu, X., Liu, Z., Liu, L., Lu, X., Chen, J., Du, S., & Zou, C. (2021). Modelling the influence of incident radiation on the SIF-based GPP estimation for maize. Agricultural and Forest Meteorology, 307 (G2期刊)
(4)Zhu, X., Hou, Y., Zhang, Y., Lu, X., Liu, Z., & Weng, Q. (2021). Potential of Sun-Induced Chlorophyll Fluorescence for Indicating Mangrove Canopy Photosynthesis. Journal of Geophysical Research-Biogeosciences, 126
(5)Lu, X., Liu, Z., Zhao, F., & Tang, J. (2020). Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis. Remote Sensing of Environment, 251, 112083-112083
(6)Liu, Z., Lu, X., An, S., Heskel, M., Yang, H., & Tang, J. (2019). Advantage of multi-band solar-induced chlorophyll fluorescence to derive canopy photosynthesis in a temperate forest. Agricultural and Forest Meteorology, 279, 107691
(7)Lu#, X., Liu #, Z., An, S., Miralles, D.G., Maes, W., Liu, Y., & Tang, J. (2018a). Potential of solar-induced chlorophyll fluorescence to estimate transpiration in a temperate forest. Agricultural and Forest Meteorology, 252, 75-87
(8)Liu, Z., An, S., Lu, X., Hu, H., & Tang, J. (2018). Using canopy greenness index to identify leaf ecophysiological traits during the foliar senescence in an oak forest. Ecosphere, 9
(9)Lu, X., Liu, Z., Zhou, Y., Liu, Y., An, S., & Tang, J. (2018). Comparison of Phenology Estimated from Reflectance-Based Indices and Solar-Induced Chlorophyll Fluorescence (SIF) Observations in a Temperate Forest Using GPP-Based Phenology as the Standard. Remote Sensing, 10
(10)Lu, X., Liu, Z., Zhou, Y., Liu, Y., & Tang, J. (2018). Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest. Remote Sensing, 10