Dr Sami Rifai

Research Associate in Ecosystems Modelling and Climate Data


Sami's research interests largely focus on how disturbances and climatic perturbations cause tropical tree mortality and affect forest composition and productivity. He primarily employs remote sensing, forest inventory, and simulation modeling to quantify and predict the potential for tree mortality. He is currently supported by the Oxford Martin School and The Nature Conservancy Climate Partnership program to predict the impacts of climatic extreme events on Amazonian forests using the Trait - Based Forest S imulator (Fyllas et al., 2014) with probabilistic climate forecasts.


A full list of Sami's publications can be found on Google Scholar.