Research PG
- About
-
- Email Address
- h.chen.24@abdn.ac.uk
- Office Address
- School/Department
- School of Biological Sciences
Biography
Heyu Chen is currently pursuing a Ph.D. at the University of Aberdeen,Scotland, United Kingdom. Since January 2023, he has been part of Environmental Modeling Group, focusing on a comparative study using DNDC and ECOSSE models to simulate greenhouse gas emissions from alpine peatlands. His research is guided by Dr. Mohamed Abdalla and Professor Astley Hastings.
Prior to his doctoral studies, He completed his Master's degree in Climate Change at the University of Copenhagen in Denmark. His master's thesis explored the role of the litter layer in soil carbon cycling in temperate forests, focusing on different tree species and forest ages. His supervisor were Professor Klaus Steenberg Larsen and Karelle Renault.
He began his academic journey at Simon Fraser University in Vancouver, Canada, where he earned his Bachelor's degree in Physical Geography and Spatial Information Science from September 2017 to January 2021. During his undergraduate studies, he engaged in a comprehensive curriculum that covered weather and climate, remote sensing, spatial science, hydrology, applied Geographic Information Systems (GIS), statistics, chemistry, biology, ecology, and earth sciences. His Bachelor Thesis about using Uvic Earth System Model to simulate the strength of AMOC under future different RCP scenarios.
Qualifications
- BSc Physical Geography and Spatial Information Science2021 - Simon Fraser University
- MSc Climate Change2023 - University of Copenhage
- Research
-
Research Areas
Biological and Environmental Sciences
Using DNDC and ECOSSE models to simulate greenhouse gas emissions from alpine peatlands
The study focuses on predicting and mapping GHG emissions and SOC in peatlands of alpine regions (i.e., Qinghai-Tibet Plateau and Northeast China) which represent a significant research gap. It involves a comparative study that applies two established environmental models, DNDC and ECOSSE, to analyse and understand the dynamics of GHG emissions and SOC sequestration.