张方敏
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研究领域：主要从事生态和农业气象研究，目前关注全球变化及应对、气象灾害风险评估与预警等相关研究工作。
科研水平与学术业绩：主持和参与国家和省级基金、国家重点研发项目多项，在RSE、JGR等国际国内权威期刊发表学术论文100余篇。获得省部级科学技术进步二等奖，中国气象服务协会科学技术奖二等奖。
承担课程教学情况：承担本科生《气候资源学》、《城市气象学》和留学研究生的《global climate change》、《Urban Climates》课程。指导学生获优秀毕业论文、校长奖学金、国家奖学金、研究生创新实践项目、国家留学基金委（CSC）留学基金等多项奖励。
招生方向：
应用气象学 博士（学术型+专业型）
应用气象学 硕士 （学术型+专业型）
农业工程与信息技术 专业硕士
欢迎 博士后 加盟
个人简介：
2002-2012年在南京信息工程大学应用气象学院获得本硕博学位，导师为申双和教授，陈镜明院士。期间，在江苏省农科院客座1年，师从李秉柏研究员；在南京大学客座学习1年，师从居为民教授；2009-2012年在多伦多大学联培博士3年，师从陈镜明院士；2012-2015年多伦多大学从事博士后工作，师从陈镜明院士；2015年9月回南京信息工程大学应用气象学院工作，2017年评为教授。
近年来，定量分析了中国干湿带的变化及气象灾害变化机制及对作物（小麦、水稻、油菜、大豆等）的影响，基于多种模型和算法进行区域气象灾害风险评估与预估；基于遥感、模型+3S技术、机器学习评估了作物生长、碳源汇及水资源变化，并采用多源卫星数据进行了陆表植被参数反演应用等；改进日步长和小时步长的生态过程模型BEPS并应用于中国、东亚、美国及地区的生产力、蒸散和水分利用率的模拟及对气候变化特别是极端气候事件（比如干旱、ENSO、极端湿润）的响应评估；基于森林清查资料和观测资料等，建立不同扰动下的碳排放模式和不同的树种林龄生长模式，改进生态过程模型InTEC并应用于美国和中国的森林碳汇模拟及预测，实现在美国森林局业务应用和在中国的推广使用；作为项目参与人，在2016年与美国项目团队共同获得了美国农业部最高科学贡献荣誉奖，鼓励和认可了申请人在森林碳循环模型模拟方面的科学贡献；2021年参与基于致灾过程的气象灾害风险评估技术及应用项目，获得了省科学技术二等奖，在中国气象局气象科技成果评价中获得“优秀”等级；参与服务绿色发展的气候资源开发评估技术研究及应用，获得了中国气象服务协会科学技术二等奖。
业务应用上，基于多源数据及山洪预警技术开发暴雨评估预警系统，开发灾害预警算法，开发城市热岛及通风廊道算法，开发生态服务功能评估系统，开发碳汇模拟算法及平台。。。。。
Short bio:
From 2002 to 2012, I obtained Bachelor's, master's and doctoral degrees at the School of Applied Meteorology, Nanjing University of Information Science and Technology. During this period, I spent 1 year as a guest student in Jiangsu Academy of Agricultural Sciences, 1 year as a guest student in Nanjing University, 3 years as a joint doctoral candidate in the University of Toronto from 2009 to 2012. After that, I worked as a postdoctoral fellow in the University of Toronto from 2012 to 2015, and became as a full professor in 2017 in Nanjing University of Information Science and Technology.
I am doing research in the fields of ecological meteorology and agricultural meteorology. My research includes the dynamics of the carbon-water cycle in terrestrial ecosystems and their ecological-climatic effects, the estimation and simulation of evapotranspiration and carbon sources/sinks, as well as assessing the impacts of climate change and meteorological disasters on crop risk.
In recent years, I have conducted quantitative analyses of changes in China's arid and humid zones and the mechanisms of meteorological disasters, particularly their effects on crops such as wheat, rice, rapeseed, soybeans, etc. Using crop models and the MaxEnt model, I have evaluated the future suitable zones for crops. Additionally, I have improved the temporal resolution of the BEPS ecological process model at both daily and hourly scales. I have simulated and evaluated ecosystem productivity, evapotranspiration, and water use efficiency in China, East Asia, the United States, and other regions, and assessed the response to climate change, especially extreme climate events like drought, ENSO and extreme precipitation.
Furthermore, based on forest inventory data and observational data, I have established carbon emission models under different disturbances and stand age growth models for different tree species. I have improved the ecological process model, InTEC, and applied it to simulate and predict forest carbon sinks in the United States and China. Ultimately, this model has been implemented in operational use by the United States Forest Service and promoted for use in China. As a project participant, I collaborated with a U.S. project team in 2016 and jointly received the highest scientific contribution award from the U.S. Department of Agriculture, recognizing and encouraging my scientific contributions to forest carbon cycling model simulations. The technology and application of meteorological disaster risk assessment based on disaster-causing process won the second prize of provincial science and technology, and the "excellent" level in the evaluation of meteorological science and technology achievements of China Meteorological Administration; Participated in the research and application of climate resources development evaluation technology serving green development, and won the second prize of science and Technology of China Meteorological Services Association.
欢迎同学加入一起探讨，共同进步，携手走花路。
国际(地区)合作与交流项目,兴都库什-喜马拉雅高山山地退化森林恢复与碳汇潜力优化,32361143869
国家重点研发计划项目，气候-植被-大气化学耦合模式研发及其预测应用，2023YFF0805402
江苏省碳达峰碳中和科技创新专项资金，基于多模式的江苏省农林生态系统碳汇增汇潜力评估，BK20220017
国家重点研发计划, 多源气象资料融合技术研究与产品研制, 2018YFC1506606
江苏省基础研究计划-优秀青年基金项目，基于气候变化和土地利用变化对陆面蒸散的影响研究, BK20170102
国家青年科学基金项目, 太阳诱导叶绿素荧光与植被光合作用的关系及影响机制研究,31300420
江苏省基础研究计划-青年基金项目, 太阳诱导叶绿素荧光与光能利用率的关系及影响机制研究, BK20130987
局校企校合作委托项目，若干:
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2025年
Qian Liu, Fangmin Zhang（张方敏）*, Xinyou Yin. Estimating Stomatal Conductance Under Drought: Parameterizing a Phenomenological Model and Evaluating Roles of the Energy Balance Equation. Ecological Mmodelling, 2025.
He Ma, Fangmin Zhang（张方敏）*, Simin Chen, Jinge Yu, Individual Tree Segmentation Using Deep Learning and Climbing Algorithm: A Method for Achieving High-precision Single-tree Segmentation in High-density Forests under Complex Environments, Photogrammetric Engineering & Remote Sensing, 91(2): 101–110.
Fangmin Zhang（张方敏）*, Xiaofei Wang, Ge Gao, Zuguang Ren, Kaidi Zhang, Winter Wheat Identification in China Through FY-3D NDVI&EVI Satellite Data and DNN Fusion, International Journal of Remote Sensing, 2025, 46(1): 300-319.
Xuan Yu, Chenyu Zhao, Fangmin Zhang（张方敏）*,Spatiotemporal Dynamics of Maize, Wheat, and Paddy Production in China During 1950–2022, International Journal of Plant Production, 2025.
马晓芳，白怡菲，刘倩，张方敏*,大豆叶片光合氮利用效率与氮分配对水分的响应，农业环境科学学报，2025.
马赫，张方敏，吴佳骏，...,基于光线追踪技术的农田冠层内总叶绿素荧光的反演方法,【发明专利】,2025.
2024年
Huijie Yu, Fangmin Zhang*, He Ma,..., Effect of climate change on ecosystem service trade-offs and synergies: a case study in Huai River Basin, Climate Research, 2024
Fangmin Zhang, Xiaofeng Wang,..., Winter wheat identification in China through FY-3D NDVI&EVI satellite data and DNN Fusion, International Journal of Remote Sensing, 2024
Chenyu Zhao, Fangmin Zhang* …, Prediction of the Climate Suitable Areas of rice in China based on optimized MaxEnt model, International Journal of Plant Production, 2024
Xiaolan Yu, Fangmin Zhang* …, Assessment of CH4 flux and its influencing drivers in the agroecosystem of the Huai River Basin, China. Journal of Integrative Agriculture, 2024
Xiaohan Zhao, Fangmin Zhang*, Shengheng Weng, et al. Diurnal and Seasonal Variations of Water Use Efficiency of Rice–Wheat Rotation Cropland in the Jianghuai River Basin of China. Journal of Agronomy and Crop Science, 2024, 210: e12719
Langqin Hua, Fangmin Zhang*, Rui Sun, Xiaolan Yu, He Ma. Synergy of carbon and water use effciencies in the Huai River Basin, Ecological Indicators, 2024, 160: 111874
马宏伟,王华,张方敏*.华南三省(区)2001—2020年植被物候时空变化[J].热带亚热带植物学报,2024,32(03):330-338.
许肖璐,张方敏*,邓汗青,等.1961-2020年中国降水等级的变化特征[J].水土保持研究,2024,31(02):181-189.
王小飞,张方敏*,任祖光,等.基于机器学习算法的河南省冬小麦面积提取研究[J].江苏农业科学,2024,52(06):215-224.
黄进,张方敏*,胡正华.我国冬油菜的气候灾损变化及其对ENSO响应[J].灾害学,2024,39(04):108-114.
黄进,张方敏*.夏玉米高温热害的演变及其对环流指数的响应[J].应用生态学报, 2024.
张方敏，马赫，一种基于LiDAR点云的单木分割方法，【发明专利】， ZL 2024 1 0765468.3，2024，中国
卢燕宇，张方敏，段春锋，张凯迪，淮河流域生态气象【专著】，气象出版社，2024.
2023年
Xiaohan Zhao, Dianchen Han, Qi Lu, Yunpeng Li, Fangmin Zhang*. Spatiotemporal variations in ecological quality of Otindag Sandy Land based on a new modified remote sensing ecological index. Journal of Arid Land, 2023, 15(8): 920-939.
Xiaohan Zhao, Fangmin Zhang*, Qian Liu, Yunpeng Li, Yuanshu Jing, & Yanyu Lu. Climate change overshadows human activities in enhancing vegetation activity in Inner Mongolia, Theoretical and Applied Climatology, 2023.
Cheng Li, Zhaozhe Li, Fangmin Zhang*, Yanyu Lu, Chunfeng Duan, Yang Xu. Seasonal dynamics of carbon dioxide and water fluxes in a rice-wheat rotation system in the Yangtze-Huaihe region of China, Agricultural Water Management, 2023, 275: 107992
孙瑞,张方敏*,翁升恒等.2001—2021年中国NDVI时空格局变化及对气候的响应[J].中国环境科学,2023.
华朗钦, 张方敏*, 翁升恒, 卢燕宇. 1982—2020年安徽省植被生态系统NEP时空格局变化及归因分析.生态学报,2023.
余慧婕,张方敏*,马赫,卢燕宇.基于遥感生态指数的淮河流域生态环境质量时空演化及其驱动因素分析[J].环境科学,2023.
虞晓兰,张方敏*,方砚秋等.淮河流域稻麦轮作系统CH_4通量模拟及减排研究[J].农业环境科学学报,2023,42(10):2346-2357.
黄进,柳艺博,张方敏*.基于农业灾情我国粮食主产区的干旱特征及其与环流指数的联系[J].中国农业资源与区划,2023.
2022年
Qian Liu, Fangmin Zhang*, Xiaohan Zhao. The superiority of solar-induced chlorophyll fluorescence sensitivity over other vegetation indices to drought. Journal of Arid Environments, 2022, 204: 104787. doi: 10.1016/j.jaridenv.2022.104787
Huang Jin, Chen Jinhua, Zhang Fangmin*, & Hu Zhenghua*. Spatial–temporal changes in risk of climate-related yield reduction of winter wheat during 1973–2014 in Anhui province, southeast China. Theoretical and Applied Climatology, 2022, 148(1), 49-63.
韩典辰,张方敏*,陈吉泉,李云鹏,卢琦,卢燕宇.内蒙古半干旱区蒸散估算和归因分析[J].干旱区地理,2022,45(04):1071-1081.
翁升恒，张方敏*，卢燕宇，段春锋，倪婷.淮河流域蒸散时空变化与归因分析.生态学报，2022, 42(16):6718-6730.
黄进,张方敏*,胡正华.基于多指标综合降水指数的安徽省暴雨灾害的时空演变[J].灾害学,2022,37(02):111-116.
2021年
Jin Huang, Limin Zhou, Fangmin Zhang*, Zhenghua Hu*, Hongwei Tian, Responses of yield variability of summer maize in Henan province, north China, to large-scale atmospheric circulation anomalies, Theoretical and Applied Climatology, https://doi.org/10.1007/s00704-020-03504-w.
Xiaohan Zhao, Fangmin Zhang*, Rongmingzhu Su, et al. Response of carbon and water fluxes to dryness/wetness in China, Terrestrial, Atmospheric and Oceanic Sciences, 2021, 32(1),53-67.
邢丽珠, 张方敏*, 邢开成, 李云鹏, 卢琦, 鲁飞飞.基于RWEQ模型的内蒙古巴彦淖尔市土壤风蚀变化特征及归因分析[J].中国沙漠, 2021, 41（5）：111-119.
邢丽珠, 张方敏*, 黄进, 李云鹏.1961—2018年内蒙古6级及以上大风日数时空变化特征[J].干旱区地理, 2021, 45（5）: 1290-1298.
黄进,陈金华,张方敏*.基于主成分分析的安徽省冬小麦气候灾损风险的时空演变[J].应用生态学报, 2021, 32(9): 3185-3194.
2020年
Yonghong Liu, Yongming Xu, Fangmin Zhang*, Wenjun Shu, A preliminary study on the influence of Beijing urban spatial morphology on near-surface wind speed, Urban Climate, 2020,34,100703
Qian Liu, Fangmin Zhang（张方敏）*, Jiquan Chen, Ying Li. Water stress altered photosynthesis‐vegetation index relationships for winter wheat. Agronomy journal, 2020, 112, 2944-2955. doi, 10.1002/agj2.20256
Jin Huang,· Limin Zhou,· Fangmin Zhang*, Ying Li, Responses of Yield Fluctuation of Winter Oilseed Rape to Climate Anomalies in South China at Provincial Scale, International Journal of Plant Production, 2020, https, //doi.org/10.1007/s42106-020-00102-8
申露婷,张方敏*,黄进,李云鹏.1961—2018年内蒙古生长季昼夜降水气候特征[J].干旱区研究,2020,37(06):1519-1527.
邢丽珠, 张方敏*, 黄进, 李云鹏. 1961-2018年内蒙古风速变化及影响因素分析. 干旱区资源与环境, 2020, 11(34), 162-168.
翁升恒, 张方敏*, 冯妍, 段春锋, 童应祥. 江淮流域稻麦轮作蒸散特征及其影响因子. 节水灌溉, 2020, 8, 27-33.
2019年以前
刘倩, 张方敏*, 陈吉泉, 等. 灌水和放牧对荒漠草原生态系统碳交换的影响. 中国农业气象, 2019, 40(12), 737-746.
Jin Huang, Limin Zhou, Fangmin Zhang*, Zhenhua Hu, Quantifying the effect of temporal variability of agro-meteorological disasters on winter oilseed rape yield, a case study in Jiangsu province, southeast China. Environmental Monitoring and Assessment, 2019, 191(5). 10.1007/s10661-019-7406-3
Jin Huang, Fangmin Zhang*, Zhenhua Hu, Shutao Chen, Climatology of rainfall erosivity during 1961–2012 in Jiangsu Province, southeast China, Natural Hazards,2018, 1-14.
Jin Huang, Fangmin Zhang*, Limin Zhou, Zhenhua Hu, & Yin Li. Regional changes of climate extremes and its effect on rice yield in Jiangsu province, southeast China. Environmental Earth Sciences, 2018, 77(3), 106.
Fangmin Zhang, Yude Pan, Jingming Chen, R. A. Birdsey, A.J. Dugan, Seeking potential contributions to future carbon budget in conterminous US forests considering disturbances, 2017, Theoretical and Applied Climatology, 3-4, 971-978.
Gen Li, Fangmin Zhang*, Yuanshu Jing, Yibo Liu, Ge Sun. Response of evapotranspiration to changes in land use and land cover and climate in China during 2001-2013, Sci Total Environ., 2017, 596-597, 256-265. doi, 10.1016/j.scitotenv.2017.04.080
Zhang Fangmin, Y. Pan, J.M. Chen, R. A. Birdsey, W.M. Ju, S.H. Shen, and A.J. Dugan, Impacts of inadequate historical disturbance data in the early 20th century on modeling recent carbon dynamics (1951-2010) in conterminous US forests, Journal of Geophysical Research-Biogeosciences, 2015, 20, 549-569.
Zhang Fangmin, J.M. Chen, J.Q. Chen, C.M. Gough, T. Martin, and D. Dragoni, Evaluating spatial and temporal patterns of MODIS GPP over conterminous US against flux measurements and a process model, Remote Sensing of Environment, 2012, 124, 717-729, doi, 10.1016/j.rse.2012.06.023.
Zhang Fangmin, J.M. Chen, Y. Pan, R. A. Birdsey, S.H. Shen, W.M Ju, and L.M. He, Attributing carbon sinks in conterminous US forests to disturbance and non-disturbance factors from 1901 to 2010, Journal of Geophysical Research-Biogeosciences, 2012, 117, doi, 10.1029/2011JG001930.
