Kenneth Anyomi

Dr. Kenneth Anyomi is an Assistant Professor of Biology at Redeemer University, joining in 2023. He holds a Ph.D. (2013) in Forest Science from Laval University, an M.Sc. (2008) in Forest Ecology from Freiburg University, and a B.Sc. (2005) in Natural Resources Management from the University of Science and Technology, Ghana. His research focuses on ecological succession, disturbance ecology, and climate change impacts on forest systems. He is also an Adjunct Associate Professor at the Institute of Forestry Research, University of Quebec in Abitibi-Temiscamingue (IRF-UQT).

Dr. Anyomi’s work emphasizes hands-on learning, leveraging Redeemer’s small class sizes to enhance field and lab experiences. His faith integration in academia is notable, emphasizing that prioritizing faith enhances academic and personal growth. He has held roles at the Ontario Public Service and conducted postdoctoral research at institutions like UBC and Carnegie Museum of Natural History.

Key research areas include vegetation transitions, forest management, and disturbance dynamics. Ongoing projects involve cumulative disturbance impacts, deer and invasive species effects, and curating windthrow data across eastern Canada. Awards include the NEON-ESA Early Career Scholar and Sigma Xi nominations.

• Education:
  • Ph.D., Forest Science, Laval University (2013)
  • M.Sc., Forest Ecology, Freiburg University (2008)
  • B.Sc., Natural Resources Management, University of Science and Technology (2005)
• Research Interests:
  • Ecological Succession
  • Disturbance Ecology
  • Climate Change Adaptation
  • Site Productivity Dynamics
• Grants & Projects:
  • Redeemer Internal Research Grant: Impact of cumulative disturbances on forest composition
  • NSERC USRA: Effects of deer, invasive species, and tip-up mounds on seedlings
  • MITACS Globalink: Curating windthrow data across eastern Canada

Dr. Anyomi’s publications span peer-reviewed journals like Environmental Reviews, Canadian Journal of Forest Research, and Ecological Modelling, reflecting expertise in boreal forest dynamics, citizen science applications, and disturbance modeling.