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Jonathan Czuba, P.E.

Assistant Professor
301 Seitz Hall


Ph.D., Civil Engineering, University of Minnesota, Twin Cities, 2016

M.S., Civil Engineering, University of Illinois at Urbana-Champaign, 2009

B.S., Civil Engineering, University of Illinois at Urbana-Champaign, 2007


August 2017 - present - Assistant Professor, Department of Biological Systems Engineering, Virginia Tech

September 2016 - August 2017 - Post-Doctoral Research Fellow, Department of Earth and Atmospheric Sciences, Indiana University, Bloomington

June 2016 - August 2016 - Post-Doctoral Associate, St. Anthony Falls Laboratory, University of Minnesota, Twin Cities

June 2009 – July 2012 - Hydrologist, U.S. Geological Survey, Washington Water Science Center

April 2007 - June 2009 - Hydrologist, U.S. Geological Survey, Illinois Water Science Center

Selected Major Awards

2015-2016 - Interdisciplinary Doctoral Fellowship, Institute on the Environment, University of Minnesota

2015-2016 - Edward Silberman Fellowship, St. Anthony Falls Laboratory, University of Minnesota

2015 - Alvin G. Anderson Award, St. Anthony Falls Laboratory, University of Minnesota

2015 - Outstanding Student Paper Award, American Geophysical Union

2012-2013 - Department of Civil Engineering Graduate Fellowship, University of Minnesota

2012 - International Association for Great Lakes Research (IAGLR) Chandler-Misener Award

Dr. Czuba's research program extends collaboratively across multiple disciplines to advance the understanding of riverine ecosystems and their response to human and natural forces. The challenge to provide water, food, and energy for a growing population in the context of climate change is and will continue to place increasing pressure on riverine ecosystems. Dr. Czuba's research group incorporates theory, modeling, and field measurements to improve our understanding of these complex systems and better inform river management. Dr. Czuba's research largely focuses on the development and application of modeling tools to better predict the transport and fate of sediment in rivers, organized around three major themes:

(1) Understanding the fundamentals of stream and floodplain restoration, specifically quantifying the form and function of natural streams and floodplains to inform stream restoration efforts.

(2) River network modeling and connectivity, specifically modeling the transport of sediment on the branching structure of a river network to determine how change at one location on the landscape manifests change at locations downstream and to inform river basin management.

(3) Ecohydraulics and ecomorphodynamics (eco-: ecosystem + -hydraulics: dynamics of flowing water; -morphodynamics: evolution of landforms in response to the erosion and deposition of sediment), specifically how flowing water and moving sediment affect and are affected by the living components of the riverine ecosystem (e.g., plants, fish, freshwater mussels) to inform aquatic ecosystem management and restoration.

Selected Recent Publications

Murphy, B.P., J.A. Czuba, and P. Belmont (2019), Post-wildfire sediment cascades: a modeling framework linking debris flow generation and network-scale sediment routing, Earth Surface Processes and Landforms, 44(11), 2126-2140, doi:10.1002/esp.4635.

Czuba, J.A., S.R. David, D.A. Edmonds, and A.S. Ward (2019), Dynamics of surface-water connectivity in a low-gradient meandering river floodplain, Water Resources Research, 55(3), 1849-1870, doi:10.1029/2018WR023527.

Czuba, J.A. (2018), A Lagrangian framework for exploring complexities of mixed-size sediment transport in gravel-bedded river networks, Geomorphology, 321, 146-152, doi:10.1016/j.geomorph.2018.08.031.    

Czuba, C.R., J.A. Czuba, C.S. Magirl, A.S. Gendaszek, and C.P. Konrad (2018), Effect of river confinement on depth and spatial extent of bed disturbance affecting salmon redds, Journal of Ecohydraulics, 3(1), 4-17, doi:10.1080/24705357.2018.1457986.

Czuba, J.A., A.T. Hansen, E. Foufoula-Georgiou, and J.C. Finlay (2018), Contextualizing wetlands within a river network to assess nitrate removal and inform watershed management, Water Resources Research, 54(2), 1312-1337, doi:10.1002/2017WR021859.