Rong Yu

Adjunct Assistant Professor


PhD, Physical Geography, University of Milwaukee-Wisconsin, 2013
MS, Physical Geography, Peking University, 2005
BS, Physical Geography, Lanzhou University, 2001

Research Interests

Understanding terrestrial ecosystems and their response to climate change from local to global scales is always the primary motivation in my research. I use a range of methodological techniques, including remote sensing, machine learning, and statistical analyses. I am mainly focused on three research areas:

  1. vegetation phenology and remote sensing phenology, particularly in deciduous forests;
  2. ecosystem sensitivity to climate change;
  3. phenology and productivity in arctic and boreal ecosystems.

Representitive Publications

Yu R, Ruddell BL, Kang M, Kim J, Childers D (2019). Anticipating global terrestrial ecosystem state change using FLUXNET. Global Change Biology.

Donnelly A, Yu R, Liu L, Hanes J, Liang L, Schwartz M, Desai A (2019) Comparing in-situ leaf observations in early spring with flux tower CO2 exchange and MODIS EVI in a northern mixed forest. Agricultural and Forest Meteorology 278. [http://doi:10.1016/j.agrformet.2019.107673] http://doi:10.1016/j.agrformet.2019.107673

Gerken T, Ruddell B, Yu R, Stoy P, Drewry D (2019). Robust observations of land-to-atmosphere feedbacks using the information flows of FLUXNET. Nature npj Climate and Atmospheric Science, 2, 37.

Gholizadeh H, Gamon J, Townsend P, Zygielbaum A, Helzer C, Hmimina G, Yu R, Moore R, Schweiger A, Cavender-Bares (2019) Detecting prairie biodiversity with airborne remote sensing. Remote Sensing of Environment, 221, 38–49.

Yu R, Schwartz MD, Donnelly A, Liang L (2016). An Observation-based Progression Modeling Approach to Spring and Autumn Deciduous Tree Phenology. International Journal of Biometeorology, 60: 335.

Ruddell BL, Yu R (co-first author), Kang M, Childers D (2015). Seasonally Varied Controls of Climate and Phenophase on Terrestrial Carbon Dynamics: Modeling Eco-climate System State Using Dynamical Process Networks. Landscape Ecology.