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副教授

冯璞玉

发布日期:2020-11-05浏览次数:信息来源:土地科学与技术学院

姓名: 冯璞玉
性别: 男
职称: 副教授
Email:fengpuyu@cau.edu.cn
办公电话: 无
办公地址: 土化楼274室

  教育背景

2009.09-2013.07 沈阳农业大学 农业水利工程 本科

2013.09-2016.07 西北农林科技大学 农业水土工程 硕士

2016.09-2020.08 悉尼科技大学 农业资源与环境 博士

  工作履历

2020.10-       中国农业大学 土地科学与技术学院 副教授

  学术兼职

中国仿真学会农业建模与仿真专业委员会委员(2022- )

《Climate Smart Agriculture》青年编委(2023- )

《中国农业科学》青年编委(2023- )

《土壤通报》青年编委(2022- )

Plants特约编辑(2022)

  研究领域

1. 农田生态系统过程模拟

2. 气候变化影响与适应

3. 水土资源优化管理

4. 农业面源污染

  主持项目

1. 国家自然科学基金项目“气象扰动下强化土壤缓冲约束的农田生态韧性解构及时空格局模拟”,2024-2026,主持

2. 国家重点研发计划“农田氮素地下淋溶自动监测技术装备研发及产业化”,2024-2026,子课题负责人

3. 中科院先导项目“主要作物产量预测和种植适宜性评价”,2022-2026,项目骨干

4. 拼多多-中国农业大学研究基金“新型自主作物模型系统研发与应用”,2023-2027,项目骨干

5. 中央高校基本科研业务费项目“东北春大豆单产韧性时空分异格局与关键土壤因子缓冲机制”,2022,主持

6. 国家重点研发计划“黄河上游河套平原作物根区水盐响应机理及品种筛选与节水抑盐调控技术”,2021-2025,项目骨干

7. 国家留学基金委创新型人才国际合作培养项目“以双碳目标驱动循环农业发展的创新型人才联合培养”,2022-2024,项目骨干

  奖励荣誉

1. 北京市青年托举人才(2023-2025)

2.神农中华农业科技奖-优秀创新团队奖(2023)

  学术成果

一、发表论文
2023年:
1. Siyi Li, Bin Wang, De Li Liu, Chao Chen, Puyu Feng, et al. Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in southeastern Australia?[J]. European Journal of Agronomy, 2024, 153: 127030.

2. Albert Muleke, Matthew Tom Harrison, Rowan Eisner, Maria Yanotti, Peter de Voil, Shah Fahad, Wang Fei, Puyu Feng, et al. Clarifying confusions over carbon conclusions: antecedent soil carbon drives gains realised following intervention[J]. Global Environmental Change Advances, 2023, 1: 100001.

3. Linchao Li, Bin Wang, Puyu Feng, et al. The optimization of model ensemble composition and size can enhance the robustness of crop yield projections[J]. Communications Earth & Environment, 2023, 4(1): 362.

4. Ning Luo, Qingfeng Meng, Puyu Feng, et al. China can be self-sufficient in maize production by 2030 with optimal crop management[J]. Nature Communications, 2023, 14(1): 2637.

5. 张晨霞,陈方正,黄明霞,李林超,肖登攀,冯璞玉*,刘德立,胡克林.基于CMIP6气候模式的东北三省农业水热资源时空变化特征[J].地理与地理信息科学, 2023, 39(3):94-103.

2022年:

1. Puyu Feng, Bin Wang, Ian Macadam, Andréa S. Taschetto, Nerilie J. Abram, Jing-Jia Luo, Andrew D. King, Yong Chen, Yi Li, De Li Liu, Qiang Yu, Kelin Hu. 2022. Increasing dominance of Indian Ocean variability impacts Australian wheat yields. Nature Food. https://doi.org/10.1038/s43016-022-00613-9.

2. Puyu Feng, Bin Wang, Matthew Tom Harrison, Jing Wang, Ke Liu, Mingxia Huang, De Li Liu, Qiang Yu, Kelin Hu. 2022. Soil properties resulting in superior maize yields upon climate warming. Agronomy for Sustainable Development, 42(5), 1-13. https://doi.org/10.1007/s13593-022-00818-z.

3. Beibei Ding, Haipeng Liu, Yingxuan Li, Xueliang Zhang, Puyu Feng, De Li Liu, Gary W. Marek, Srinivasulu Ale, David K. Brauer, Raghavan Srinivasan, Yong Chen. 2022. Post-processing R tool for SWAT efficiently studying climate change impacts on hydrology, water quality, and crop growth. Environmental Modelling & Software, 156, 105492. https://doi.org/10.1016/j.envsoft.2022.105492.

4. Shaobo Wang, Kelin Hu, Puyu Feng, Wei Qin, Shah Jahan Leghari. 2022. Determining the effects of organic manure substitution on soil pH in Chinese vegetable fields: a meta-analysis. Journal of Soils and Sediments, 1-13. https://doi.org/10.1007/s11368-022-03330-9.

5. Xinguo Chen, Yi Li, Ning Yao, De Li Liu, Qingzhu Liu, Xiaoyan Song, Fenggui Liu, Bakhtiyor Pulatov, Qingtao Meng, Puyu Feng. 2022. Projected dry/wet regimes in China using SPEI under four SSP‐RCPs based on statistically downscaled CMIP6 data. International Journal of Climatology. https://doi.org/10.1002/joc.7824.

6. Lijie Shi, Puyu Feng, Bin Wang, De Li Liu, Hong Zhang, Jiandong Liu, Qiang Yu. 2022. Assessing future runoff changes with different potential evapotranspiration inputs based on multi-model ensemble of CMIP5 projections. Journal of Hydrology, 612, 128042. https://doi.org/10.1016/j.jhydrol.2022.128042.

7. Jie He, Puyu Feng, Bin Wang, Wei Zhuang, Yongqiang Zhang, De Li Liu, Jamie Cleverly, Alfredo Huete, Qiang Yu. 2022. Centennial annual rainfall pattern changes show an increasing trend with higher variation over Northern Australia. Journal of Hydrometeorology, 23(8), 1333-1349. https://doi.org/10.1175/JHM-D-21-0116.1.

8. Shuo Chen, Weihang Liu, Puyu Feng, Tao Ye, Yuchi Ma, Zhou Zhang. 2022. Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield. Remote Sensing, 14(10), 2340. https://doi.org/10.3390/rs14102340.

2021年:

1. Haixia Lin, Na Li, Yi Li, Hongguang Liu, Jian Liu, Linchao Li, Puyu Feng, Deli Liu, Chuncheng Liu. 2021. Quantitative Analysis of Winter Wheat Growth and Yields Responding to Climate Change in Xinjiang, China. Water, 13(24), 3624. https://doi.org/10.3390/w13243624.

2. Mingxia Huang, Jing Wang, Bin Wang, De Li Liu, Puyu Feng, Qiang Yu, Xuebiao Pan, Cathy Waters. 2021. Assessing maize potential to mitigate the adverse effects of future rising temperature and heat stress in China. Agricultural and Forest Meteorology, 311, 108673. https://doi.org/10.1016/j.agrformet.2021.108673.

3. Haoliang Yan, Matthew Tom Harrison, Ke Liu, Bin Wang, Puyu Feng, Shah Fahad, Holger Meink, Rui Yang, De Li Liu, Sotirios Archontoulis, Isaiah Huber, Xiaohai Tian, Jianguo Man, Yunbo Zhang, Meixue Zhou. 2022. Crop traits enabling yield gains under more frequent extreme climatic events. Science of the Total Environment, 808, 152170. https://doi.org/10.1016/j.scitotenv.2021.152170.

4. Bin Wang, Allan C. Spessa, Puyu Feng, Xin Hou, Chao Yue, Jing-Jia Luo, Philippe Ciais, Cathy Waters, Annette Cowie, Rachael H. Nolan, Tadas Nikonovas, Huidong Jin, Henry Walshaw, Jinghua Wei, Xiaowei Guo, De Li Liu, QiangYu. 2022. Extreme fire weather is the major driver of severe bushfires in southeast Australia. Science Bulletin, 67(6), 655-664. https://doi.org/10.1016/j.scib.2021.10.001.

5. Huayan Zhang, Erik A. Hobbie, Puyu Feng, Ling'an Niu, Kelin Hu. 2022. Can conservation agriculture mitigate climate change and reduce environmental impacts for intensive cropping systems in North China Plain?. Science of The Total Environment, 806, 151194. https://doi.org/10.1016/j.scitotenv.2021.151194.

6. Bin Wang, Jonathan M. Gray, Cathy M. Waters, Muhuddin Rajin Anwar, Susan E. Orgill, Annette L. Cowie, Puyu Feng, De Li Liu. 2022. Modelling and mapping soil organic carbon stocks under future climate change in south-eastern Australia. Geoderma, 405, 115442. https://doi.org/10.1016/j.geoderma.2021.115442.

7. Ke Liu, Matthew Tom Harrison, Sotirios V Archontoulis, Neil Huth, Rui Yang, De Li Liu, Haoliang Yan, Holger Meinke, Isaiah Huber, Puyu Feng, Ahmed Ibrahim, Yunbo Zhang, Xiaohai Tian, Meixue Zhou. 2021. Climate change shifts forward flowering and reduces crop waterlogging stress. Environmental Research Letters, 16(9), 094017.

2020年:

1. Bin Wang , Puyu Feng, De Li Liu , Garry J. O’Leary, Ian Macadam, Cathy Waters, Senthold Asseng , Annette Cowie, Tengcong Jiang, Dengpan Xiao, Hongyan Ruan, Jianqiang He, Qiang Yu. 2020. Sources of uncertainty for wheat yield projections under future climate are site-specific. Nature Food. https://doi.org/10.1038/s43016-020-00181-w.

2. De Li Liu, Jin Teng, Fei Ji, Muhuddin R Anwar, Puyu Feng, Bin Wang, Linchao Li, Cathy Waters. 2020. Characterizing spatiotemporal rainfall changes in 1960-2019 for continental Australia. International Journal of Climatology. https://doi.org/10.1002/joc.6855.

3. Bin Wang, Puyu Feng, Cathy Waters, James Cleverly, De Li Liu, Qiang Yu. 2020. Quantifying the impacts of pre-occurred ENSO signals on wheat yield variation using machine learning in Australia. Agricultural and Forest Meteorology, 291: 108043.

4. Lijie Shi, Puyu Feng, Bin Wang, De Li Liu, Qiang Yu. 2020. Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models. Journal of Hydrology, 590: 125394.

5. Puyu Feng, Bin Wang, De Li Liu, Fei Ji, Xiaoli Niu, Hongyan Ruan, Lijie Shi, Qiang Yu. 2020. Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia. Environmental Research Letters, 15(8): 084051.

6. Qaisar Saddique, De Li Liu, Bin Wang, Puyu Feng, Jianqiang He, Ali Ajaz, Jianmei Ji, Jiatun Xu, Chao Zhang, Huanjie Cai. 2020. Modelling future climate change impacts on winter wheat yield and water use: A case study in Guanzhong Plain, northwestern China. European Journal of Agronomy, 119: 126113.

7. Puyu Feng, Bin Wang, Jing-Jia Luo, De Li Liu, Cathy Waters, Fei Ji, Hongyan Ruan, Dengpan Xiao, Lijie Shi, Qiang Yu. 2020. Using large-scale climate drivers to forecast drought condition in growing season across Australian wheatbelt. Science of the Total Environment, 138162.

8. Bin Wang, Puyu Feng, De Li Liu, Cathy Waters. 2020. Modelling biophysical vulnerability of wheat to future climate change: A case study in the eastern Australian wheat belt. Ecological Indicators, 114: 106290.

9. Lijie Shi, Puyu Feng, Bin Wang, De Li Liu, James Cleverly, Quanxiao Fang, Qiang Yu. 2020. Projecting potential evapotranspiration change and quantifying its uncertainty under future climate scenarios: A case study in southeastern Australia. Journal of Hydrology, 124756.

10. Puyu Feng, Bin Wang, De Li Liu, Cathy Waters, Dengpan Xiao, Lijie Shi, Qiang Yu. 2020. Dynamic wheat yield forecasts are improved by a hybrid approach using biophysical model and machine learning technique. Agricultural and Forest Meteorology, 285: 107922.

2019年:

1. Puyu Feng, Bin Wang, De Li Liu, Cathy Waters, Qiang Yu. 2019. Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia. Agricultural and Forest Meteorology, 275: 100-113.

2. Jie Liu, Tiantian Hu, Puyu Feng, Li Wang, Shuohuan Yang. 2019. Tomato yield and water use efficiency change with various soil moisture and potassium levels during different growth stages. PloS One, 14(3): e0213643.

3. Bin Wang, De Li Liu, Jason P. Evans, Fei Ji, Cathy Waters, Ian Macadam, Puyu Feng, Kathleen Beyer. 2019. Modelling and evaluating the impacts of climate change on three major crops in south-eastern Australia using regional climate model simulations. Theoretical and Applied Climatology, 138(1-2), 509-526.

4. Puyu Feng, Bin Wang, De Li Liu, Qiang Yu. 2019. Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia. Agricultural Systems, 173: 303-316.

5. Hong Zhang, Bin Wang, De Li Liu, Mingxi Zhang, Puyu Feng, Lei Cheng, Qiang Yu, Derek Eamus. 2019. Impacts of future climate change on water resource availability of eastern Australia: A case study of the Manning River basin Journal of Hydrology, 573: 49-59.

6. Bin Wang, Edward D. Deveson, Cathy Waters, Allan Spessa, Douglas Lawton, Puyu Feng, De Li Liu. 2019. Future climate change likely to reduce the Australian plague locust (Chortoicetes terminifera) seasonal outbreaks. Science of the Total Environment, 668: 947-957.

7. Puyu Feng, De Li Liu, Bin Wang, Cathy Waters, Mingxi Zhang, Qiang Yu. 2019. Projected changes in drought across the wheat belt of southeastern Australia using a downscaled climate ensemble. International Journal of Climatology, 39(2): 1041-1053.

8. Bin Wang, Puyu Feng, Chao Chen, De Li Liu, Cathy Waters, Qiang Yu. 2019. Designing wheat ideotypes to cope with future changing climate in South-Eastern Australia. Agricultural Systems, 170: 9-18.

2018年:

1. Hongyan Ruan, Puyu Feng, Bin Wang, Hongtao Xing, Garry J. O’Leary, Zhigang Huang, Hao Guo, De Li Liu. 2018. Future climate change projects positive impacts on sugarcane productivity in southern China. European Journal of Agronomy, 96: 108-119.

2. Puyu Feng, Bin Wang, De Li Liu, Hongtao Xing, Fei Ji, Ian Macadam, Hongyan Ruan, Qiang Yu. 2018. Impacts of rainfall extremes on wheat yield in semi-arid cropping systems in eastern Australia. Climatic Change, 147: 555-569.

 

二、出版专著

《智慧农业理论与技术》,中国农业出版社,2023,参编

Modeling Processes and Their Interactions in Cropping Systems: Challenges for the 21st Century. 美国John Wiley & Sons出版社, 2022, 参编

 

招生信息

博士: 9902-土地科学与技术,120405-土地资源管理

硕士:120405-土地资源管理,085700-资源与环境,095132-资源利用与植物保护

 

欢迎土地资源管理相关领域的学生联系推免、报考

优先考虑:地理信息、计算机、遥感、农业气象等学科及技术背景