Guohua Liu

PostDoc

Main Focus

    My research focus on understanding and modelling the impacts of global change (such as extreme events) on vegetation dynamics in terrestrial ecosystems, like vegetation phenology and tree mortality. Currently, I am responsible for employing machine learning techniques to investigate and simulate tree mortality and carbon losses (CALIPSO, https://calipsovesri.org).  

    My research interests include:    

    • Tree mortality and carbon loss
    • Vegetation phenology
    • Extreme events
    • Machine learning

    Curriculum Vitae

    Education

    PhD (2019) in Physical Geography, Peking University, Beijing, China ("Climate drivers and process-based modelling of trees' autumn phenology in temperate northern China")

      Joint PhD (2018), Université Paris-Sud, Paris, France ("Developing process-based model to simulate autumn leaf senescence of deciduous trees")

      MSc (2014) in Meteorology, Institute of Geographic Sciences and Natural Resources Research, Beijing, China ("The responses of spring phenology to temperature changes and the related mechanism in China")

      Research Experience

      PostDoc scientist (2021 - present) at at the Max Planck Institute for Biogeochemistry – Department of Biogeochemical Integration, Jena, Germany. 

      Lecturer (2019 - 2021) at Nanjing University of Information Science and Technology, Nanjing, China.

      Awards

      2021 Sino-German postdoc scholarship

      2020 "Dual creative doctor" talent program of Jiangsu Province 

      2018 Model student of academic records, Peking University 

      2013 National scholarship for graduate student, Chinese academy sciences

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