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刘苇航 全职博士后

个人简介

刘苇航,南京大学政府管理学院博士后,合作导师:张海波。华东师范大学地理学学士、北京师范大学地理学博士、美国爱荷华州立大学博士后。主要研究兴趣为气候变化对农业生态系统的影响、极端气候形成机制与影响评估、基于统计方法的过程模型建模等。相关研究成果主要发表于《Communications Earth and Envrionment》《Earth's Future》和《Agricultural and Forest Meteorology》等中英文学术期刊上。


研究方向

气候变化影响与适应

农业可持续与粮食安全


开设课程

无


科研项目


中国博士后科学基金第79批面上资助项目

项目名称:“旱涝急转”对中国华北平原冬小麦的减产机制与模拟研究(主持)


国家自然科学基金面上项目                                                                        

项目名称:极端气候事件组合作用下华中双季晚稻产量损失机制及风险评估研究(参与)


北京师范大学地表过程与资源生态国家重点实验室重点项目                      

项目名称:复合极端气候对中国玉米单产的影响研究(参与)



科研成果

期刊论文

Liu, W., Liu, Y., Luo, Y. et al. 2026. Flash droughts reduce national-scale crop yields in the United States. Communications Earth and Environment. 7, 555. https://doi.org/10.1038/s43247-026-03556-2 

Liu, W., Zhou, J., Luo, Y., Ma, Y., Chen, S., 2025. Greater contributions of heat and drought than excess wetness to reduce the crop yield stability in the US Midwest. Earth’s Future. 13, 9. https://doi.org/10.1029/2024EF005172

Liu, W., Zhou, J., Ma, Y., Chen, S., Luo, Y., 2024. Unequal impact of climate warming on meat yields of global cattle farming. Communications Earth and Environment. 5, 65 https://doi.org/10.1038/s43247-024-01232-x

Liu, W., Ye, T., Müller, C., Jägermeyr, J., Franke, J.A., Stephens, H., Chen, S., 2023. The statistical emulators of GGCMI phase 2: responses of year-to-year variation of crop yield to CO2, temperature,  water, and nitrogen perturbations. Geoscientific Model Development. 16, 7203–7221. https://doi.org/10.5194/gmd-16-7203-2023

Liu, W., Li, Z., Li, Y., Ye, T., Chen, S., Liu, Y., 2022. Heterogeneous impacts of excessive wetness on maize yields in China: Evidence from statistical yields and process-based cropmodels. Agricultural and Forest Meteorology. 327, 109205. https://doi.org/10.1016/j.agrformet.2022.109205

Liu, W., Ye, T., Jägermeyr, J., Müller, C., Chen, S., Liu, X., Shi, P., 2021. Future climate change significantly alters interannual wheat yield variability over half of harvested areas. Environmental Research Letter. 16, 094045. https://doi.org/10.1088/1748-9326/ac1fbb

Liu, W., Ye, T., Shi, P., 2021. Decreasing wheat yield stability on the North China Plain: Relative contributions from climate change in mean and variability. International Journal of Climatology. 41, E2820–E2833. https://doi.org/10.1002/joc.6882

刘苇航,叶涛,史培军,陈说., 2022. 气候变化对粮食生产风险的影响研究进展. 自然灾害学报. 31, 1-11.


Liu, Y., Liu, W., Ye, T., Chen, S., Chen, X., Li, Z., Zhan, N., Sun, R., 2025. Incorporating climate data with machine learning can improve rice phenology estimation. Environmental Research Letter. 20, 024020. https://doi.org/10.1088/1748-9326/ada56e 

Zhan, N., Liu, W., Ye, T., Liu, Y., Li, Z., Ma, H., 2025. Global warming creates the adaptation tipping points of livestock exposure to cold and heat stress on the Qinghai-Tibetan plateau. Agricultural System. 223, 4. https://doi.org/10.1016/j.agsy.2024.104190 

Liu, Y., Liu, W., Li, Y., Ye, T., Chen, S., Li, Z., Sun, R., 2023. Concurrent Precipitation Extremes Modulate the Response of Rice Transplanting Date to Preseason Temperature Extremes in China. Earth’s Future. 11. https://doi.org/10.1029/2022ef002888 

Zhan, N., Liu, W., Ye, T., Li, H., Chen, S., Ma, H., 2023. High-resolution livestock seasonal distribution data on the Qinghai-Tibet Plateau in 2020. Scientific Data. 10, 1–15. https://doi.org/10.1038/s41597-023-02050-0 

Li, Z., Liu, W., Ye, T., Chen, S., Shan, H., 2022. Observed and CMIP6 simulated occurrence and intensity of compound agroclimatic extremes over maize harvested areas in China. Weather and Climate Extremes. 38, 100503. https://doi.org/10.1016/j.wace.2022.100503 


      期刊审稿

      Nature Food, Science Advances,

       Agricultural and Forest Meteorology, European Journal of Agronomy, 

       Environmental Research letter, International Journal of Agricultural and Sustainability


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