July 31, 2018
The East River, Colorado, community watershed testbed is being used to develop scale-adaptive modeling approaches for predicting how vulnerable mountainous watersheds respond to disturbances and the associated implications for downgradient water quality and quantity.
While watersheds are recognized as Earth’s key functional unit for managing water resources, their hydrological interactions also mediate biogeochemical processes that support all terrestrial life and can lead to a cascade of downgradient effects. This work highlights the development of scale-adaptive modeling approaches to enable predictive understanding of how mountainous watersheds retain and release water, nutrients, carbon, and metals from episodic to decadal timescales.
A growing demand for clean water, food, and energy—in parallel with droughts, floods, early snowmelt, and other disturbances—are significantly reshaping interactions within watersheds throughout the world. This is particularly true for mountainous systems, such as the East River Watershed in Colorado, which is located in the Upper Colorado River Basin. This Basin supplies water to 1 in every 10 Americans and supports vast agriculture and hydropower operations along its reach. Because society is dependent on watersheds, new approaches that can accurately yet tractably predict watershed responses to disturbances are critical for resource management.
New approaches are being studied to quantify and predict how disturbances impact downstream water availability and biogeochemical cycling. The research is guided by a system-of-systems perspective and a scale-adaptive approach, where a predictive understanding of the response of archetypal watershed subsystems to disturbances is being developed as well as methods to aggregate such responses into predictions of cumulative watershed exports. Several recent advances include above- and-belowground characterization and monitoring approaches for understanding vegetation distribution; new modeling approaches for predicting bedrock-through-canopy hillslope interactions; and coupled modeling approaches that can assimilate streaming data into models to estimate hillslope water partitioning over time. Through the use of these tools, new watershed function insights can be gained, including how historical snowmelt and monsoon characteristics influence annual discharge across the entire watershed; controls on streamflow generation; and how future changes in vegetation and temperature may influence water partitioning at different positions in the watershed. Over 30 institutions are involved in advancing watershed hydrological-biogeochemical science at the East River, Colorado, watershed.
BER Program Manager
Department of Energy
Lawrence Berkeley National Laboratory
This material is based on work supported as part of the Watershed Function Scientific (837) Focus Area funded by the Office of Biological and Environmental Research, within the U.S. Department of Energy Office of Science, under Award Number DE-AC02-05CH11231.
Hubbard, S.S., et al. "The East River, Colorado, Watershed: A mountainous community testbed for improving predictive understanding of multiscale hydrological-biogeochemical dynamics." Vadose Zone Journal. Special Section: Hydrological Observatories. In press. 2018. [17(1), 1–25 (2018). DOI:10.2136/vzj2018.03.0061], .
SC-33.1 Earth and Environmental Sciences Division, BER
BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER
Mar 23, 2021
Molecular Connections from Plants to Fungi to Ants
Lipids transfer energy and serve as an inter-kingdom communication tool in leaf-cutter ants&rsqu [more...]
Mar 19, 2021
Microbes Use Ancient Metabolism to Cycle Phosphorus
Microbial cycling of phosphorus through reduction-oxidation reactions is older and more widespre [more...]
Feb 22, 2021
Warming Soil Means Stronger Microbe Networks
Soil warming leads to more complex, larger, and more connected networks of microbes in those soi [more...]
Jan 27, 2021
Labeling the Thale Cress Metabolites
New data pipeline identifies metabolites following heavy isotope labeling.
Aug 31, 2020
Novel Bacterial Clade Reveals Origin of Form I Rubisco
List all highlights (possible long download time)