robert shriver

Robert Shriver

Assistant Professor, Plant Ecology & Population Biology

Summary

I'm a quantitative ecologist interested in understanding the mechanisms that drive plant population and ecosystem dynamics, from individual plots to landscapes. I use this understanding to anticipate and predict the impacts of environmental change in basic and applied settings. My work relies heavily on inference and statistics to synthesize data and models.

My current research topics include:

  • Demographic and environmental controls on landscape-scale resilience and restoration 
  • Demographic and population modeling methods
  • Impacts of environmental variability on population and community dynamics

Education

B.S. University of Wyoming, 2011
Ph.D. Duke University, 2017

Publications

Informational Publications

Journals

Resilience Is Not Enough: Toward a More Meaningful Rangeland Adaptation Science

2024

Rangeland Ecology & Management, Volume 95 , July 2024, Pages 56-67

Hailey Wilmer, Daniel B. Ferguson, Maude Dinan, Eric Thacker, Peter B. Adler, Kathryn Bills Walsh, John B. Bradford, Mark Brunson, Justin D. Derner, Emile Elias, Andrew Felton, Curtis A. Gray, Christina Greene, Mitchel P. McClaran, Robert K. Shriver, Mitch Stephenson, and Katharine Nash Suding

Transdisciplinary science and management in rangelands requires more than just conceptual social-ecological frameworks. Additional methodological concepts need to include: 1) relationship building; 2)...

Sources of seasonal water supply forecast uncertainty during snow drought in the Sierra Nevada

2024

Journal of the American Water Resources Association, Volume 60, Issue 5, October 2024, Pages 972-990

Elijah N. Boardman, Carl E. Renshaw, Robert K. Shriver, Reggie Walters, Bruce McGurk, Thomas H. Painter, Jeffrey S. Deems, Kat J. Bormann, Gabriel M. Lewis, Evan N. Dethier, and Adrian A. Harpold

Uncertainty attribution in water supply forecasting is crucial to improve forecast skill and increase confidence in seasonal water management planning. We develop a framework to quantify fractional...