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Mark Stone

Department Head Emphasis Area: Sustainable Engineering Systems University of Nebraska-Lincoln

Contact

Address
CHA 223
Lincoln NE 68583-0726
Phone
402-472-1413 On-campus 2-1413
Email
mark.stone@unl.edu

Appointment

100% Administration

Areas of Research and Professional Interest

  • Ecohydrology and river system management
  • Natural hazards resilience: flood, drought, and wildfire risk adaptation
  • Hydrologic and hydraulic modeling
  • Convergence science and transdisciplinary collaboration
  • Remote sensing and machine learning applications in water resources

Teaching Interests

  • Hydrologic and Hydraulic Modeling
  • River Engineering and Ecological Engineering
  • Resilience in Water Systems
  • Interdisciplinary Research Methods

Education

 

  • Ph.D., Civil and Environmental Engineering, Washington State University
  • M.S., Civil and Environmental Engineering, Washington State University
  • B.S., Biological Systems Engineering, University of Nebraska - Lincoln

Certifications

  • Professional Engineer (PE), New Mexico
  • Diplomate, Water Resources Engineering (D.WRE)

Honors and Awards

  • Fulbright Scholar to Chile, 2023
  • New Mexico AMP, Outstanding Mentor Award, 2022
  • Harrison Faculty Excellence Award, 2021
  • Paul Bartlett Re Peace Prize Career Achievement Award, 2020
  • Robert Stamm Endowed Professor in Advanced Design Practices, 2020
  • UNM School of Engineering Teaching Excellence Award, 2019
  • UNM Regents’ Lecturer, 2016
  • NSF CAREER Award, 2014
  • Diplomate of Water Resources Engineering (D.WRE) , 2012

News and Related Links

Recent Publications

2025

  • Morgan, M., Lin, Y. C., Walsh-Dilley, M., Webster, A. J., Chief, K., ... & Stone, M. C. Convergence, transdisciplinarity, and team science: an interepistemic approach. Ecology and Society, 30(1).

2024

  • Lin, Y. C., Meyer-Driovínto, M. C., Casuse-Driovínto, T. Q., Stone, A. B., ... & Stone, M. C. Shared Futures: fostering convergence and envisioning possible futures through ArtScience. Ecology and Society, 29(4).
  • Harris, A., Mulchandani, A., & Stone, M. Developing a habitat suitability index with field data and hydraulic models. River Research and Applications, 40(10), 1903-1911.
  • Mukerji, R., Lin, Y. C., Zhang, S., Stone, M., ... Co-design as participation: Creating meaningful pathways for collaboration in flood risk adaptation in Ohkay Owingeh Pueblo. International Journal of Disaster Risk Reduction, 113, 104843.
  • Harris, A., Porter, M., McKay, S. K., Mulchandani, A., & Stone, M. Hydraulic analysis for assessing environmental flow selection and ecological model formulation. Ecohydrology, 17(4), e2681.

2023

  • Chaulagain, S., Stone, M. C., Morrison, R.R., Yang, L., Coonrod, J., & Villa, N. E. (2023). Determining the response of riparian vegetation and river morphology to drought using Google Earth Engine and machine learning. Journal of Arid Environments, 219, 105068.

2022

  • Chaulagain, S., Stone, M. C., Dombroski, D., Gillihan, T., Chen, L., & Zhang, S. (2022). An investigation into remote sensing techniques and field observations to model hydraulic roughness from riparian vegetation. River Research and Applications38(10), 1730-1745.
  • Stone, M. C., & Morrison, R.1R. (2022). Human Impacts on the Hydrology, Geomorphology, and Restoration Potential of Southwestern Rivers. Standing between Life and Extinction: Ethics and Ecology of Conserving Aquatic Species in North American Deserts, 239-254.

2021

  • Jaramillo, L.V., Stone, M. C., & Benson, M. H. (2021). Developing Factors for Socio-Ecohydrological Resilience. In Handbook of Disaster Risk Reduction for Resilience, 387-416.
  • Schoener, G., Stone, M. C., & Thomas, C. (2021). Comparison of Seven Simple Loss Models for Runoff Prediction at the Plot, Hillslope and Catchment Scale in the Semiarid Southwestern US. Journal of Hydrology, 126490.

2020

  • Schoener, G., & Stone, M. C. (2020). Monitoring soil moisture at the catchment scale–a novel approach combining antecedent precipitation index and radar-derived rainfall data. Journal of Hydrology, 125155.
  • Summers, B. M., Horn, D. J. V., González-Pinzón, R., Bixby, R. J., Grace, M. R., Sherson, L. R., ... & Dahm, C. N. (2020). Long-term data reveal highly-variable metabolism and transitions in trophic status in a montane stream. Freshwater Science39(2), 000-000.
  • Chen, X., Chen, L., Stone, M. C., & Acharya, K. (2020). Assessing Connectivity between the River Channel and Floodplains during High Flows Using Hydrodynamic Modeling and Particle Tracking Analysis. Journal of Hydrology, 124609.
  • Gregory, A., Chen, C., Wu, R., Miller, S., Ahmad, S., Anderson, J. W., Stone, M.C.. (2020). Efficient Model-data Integration for Flexible Modeling, Parameter Analysis & Visualization, and Data Management. Frontiers in Water2, 2.