Siyuan Wang, 王思远 (He/Him)

My research focuses on understanding global forest disturbance regimes and their implications for vegetation dynamics and the terrestrial carbon cycle. I integrate Earth observation, ecosystem modelling, and model-data integration to investigate how long-term disturbance dynamics shape the spatial structure of forest aboveground biomass.

A central part of my doctoral research is the development of spatial pattern inversion models to infer four complementary disturbance regime parameters from satellite biomass observations: disturbance rate (μ), gap-size distribution (α), disturbance severity (β), and background mortality (K_b). I apply this framework at the global scale to observationally constrain forest disturbance regimes, examine their climatic and ecological controls, and support more realistic representations of disturbance in ecosystem and Earth system models.

My broader research interests include vegetation dynamics, forest resilience, terrestrial carbon cycle modelling, Earth observation and remote sensing, ecological modelling, and model data integration.