Disturbance Ecohydrologist at UC Merced
I study the impacts of land-cover and climate change on ecohydrologic processes. My most recent project is exploring the connections between land management, wildfire, and ecosystem processes.
When I am not working, I am usually spending time with my wife and two boys. My interests include building with blocks, reading Captain Underpants and playing Pokémon… OK, actually my boys’ interests, but I get roped into doing them quite frequently. Time for cycling, backpacking and world travel is more elusive.
Example of Published Work: Bart R, Hope A. (2014) Inter-seasonal variability in baseflow recession rates: The role of aquifer antecedent storage in central California watersheds. Journal of Hydrology, 519, 205-213. doi:10.1016/j.jhydrol.2014.07.020
Office: Bren Hall, Laboratory 1005
Associate Scientist at the National Center for Atmospheric Research
I am primarily interested in land cover disturbance impacts on downstream water, in particular implications for short-term flood risk and long-term water supply planning. I conduct detailed catchment-scale modeling using RHESSys to identify key physical controls, and look for landscape-scale response patterns at the broader continental scale using the WRF-Hydro modeling system.
During my time in the Tague lab I cultivated a love of home-brewing (Trickle-Down Triple! Macro Pore-ter!) and baking. I also enjoy hiking in the beautiful Boulder foothills with my canine charge and former lab mascot, Woody.
Example of Published Work: Realtime Prediction in Disturbed Landscapes: Identifying Highest Priority Disturbance Characteristics Impacting Streamflow Response in a CONUS-Scale Operational Model. A. Dugger, D. Gochis, W. Yu, J. McCreight, M. Barlage. AGU Fall Meeting, December 2015.
Personal Website: http://aubreydugger.com
NCAR Website: https://www.ral.ucar.edu/projects/wrf_hydro
Post-Doctorate Researcher at University of Washington, Seattle
My research explores the interactions between forests, climate, and streamflow using physically-based process models.
I run and hike through as many forests as possible with my husband and two dogs when away from the computer.
Example of Published Work: “Soil storage influences climate-evapotranspiration interactions in three western United States catchments.” Submitted to HESS, 2015.
Assistant Professor of Fire Ecology, UNR
I study interactions among plant, soil, and hydrologic processes in arid systems. Disturbances such as wildfire, insect outbreaks, and forest clearing, play an important role in these dynamics, and in many ecosystems, disturbance events are becoming more frequent and severe in response to climate change and growing human populations. I use process-based models, remote sensing, and empirical analysis to answer questions about how climate change will affect future fire regimes, how these shifts will alter biogeochemical and ecohydrologic processes, and how we can mitigate the effects of climate change through management.
Example of Published Work: Hanan EJ, Schimel JP, Dowdy K, D’Antonio CM (2016) Effects of substrate supply, pH and char on nitrogen cycling in soils from a wildfire-structured age gradient in California chaparral. Soil Biology and Biochemistry 95:87-99.
Office: Fire & Dryland Ecosystems Lab, University of Reno, NV
Other Websites: erinhanan.com
Post-Doctorate Fellow at the Research Foundation of the City University of New York
My current research is to develop an ecohydrologic model for investigating the impact of climate change and forest management on dissolved organic carbon processes in the streams for New York City water supply watersheds. I have utilized various data sources to parameterize the ecohydrologic model (RHESSys), and improve the model predictions. I love reading scientific journals and books as well as literature. As well, I love outdoor activities, including surfing, snowboarding and biking.
Example of Published Work: K.Son, and M.Sivapalan. 2007. “Improving model structure and reducing parameter uncertainty in conceptual water balance models through the use of auxiliary data,” Water Research Resources, VOL. 43, W01415, doi: 10.1029/2006WR005032