East River Watershed in Upper Colorado River Basin. Mountainous systems, such as the East River watershed (shown), store and release water from snow, with meltwater mediating coupled hydrologic-biogeochemical reactions across multiple spatial and temporal scales. The Watershed Function SFA is developing and testing new approaches at this representative watershed in the Upper Colorado River Basin, which supplies water to more than one in 10 Americans, enables irrigation of more than 5.5 million acres of land, and supports energy-related activities such as hydropower generation and resource development. Measurement and data management infrastructure is being developed to explore interactions across a network of field study sites, enabling the SFA team to address a range of questions about watershed and ecosystem behavior. [Top image courtesy Joseph Guardiola; bottom image courtesy Sam Faivre]
Biogeochemical dynamics from genome to watershed scales
Climate change, extreme weather, land-use change, and other perturbations are significantly reshaping interactions among the vegetation, soil, fluvial, and subsurface compartments of watersheds throughout the world. Watersheds are recognized as Earth’s key functional unit for managing water resources, but their hydrological interactions also mediate biogeochemical processes that support all terrestrial life. These complex interactions, which occur within a heterogeneous landscape, can lead to a cascade of effects on downstream water availability, nutrient and metal loading, and carbon cycling. Despite significant implications for energy production, agriculture, water quality, and other societal benefits important to U.S. Department of Energy (DOE) energy and environmental missions, uncertainty associated with predicting watershed function and dynamics remains high. To address this uncertainty, the Subsurface Biogeochemical Research program, within DOE’s Office of Biological and Environmental Research (BER), is supporting the Watershed Function Scientific Focus Area (SFA).
The Watershed Function SFA is developing a scale-adaptive approach, which posits that the integrated watershed response to disturbance events (e.g., see the watershed concentration-discharge responses indicated in the System-of-Systems Watershed View figure above) can be adequately predicted through consideration of interactions and feedbacks occurring within a limited number of subsystems. Scale-Adaptive Watershed Simulation Capabilities (SAWaSC) are used to simulate the aggregated watershed response to perturbations (floods, droughts, and early snowmelt) through adaptive mesh refinement methods that can telescope into subsystems or other small parts of the watershed—only where and when needed.
To address how mountainous watersheds respond to hydrologic perturbations, the Watershed Function SFA is (1) quantifying complex interactions among plants, microorganisms, organic matter, minerals, dissolved constituents, and water in different subsystems; and (2) developing and testing methods to predict the cumulative influence of distributed watershed processes on downgradient water availability and quality. Activities in the Watershed Function SFA are driven by the following supporting science questions:
System-of-Systems Watershed View. The Watershed Function SFA takes a “system-of-systems” perspective and utilizes a scale-adaptive simulation approach to quantify how fine-scale processes occurring in different watershed subsystems contribute to the integrated, time-dependent export of water, nitrogen, carbon, and metals. (a) Key watershed subsystems (e.g., hillslopes, floodplains, and meadows) serve as testbeds to quantify interactions among vegetation, biogeochemistry, and hydrogeology in response to hydrological perturbations associated with that subsystem. The scale-adaptive approach simulates the aggregated watershed response. (b, c) Alpine and montane subsystems may respond very differently to earlier snowmelt, based on plant readiness to utilize available water, leading to different downgradient contributions of water, nutrients, carbon, and other elements.
Led by Berkeley Lab, the multidisciplinary, multi-institutional SFA combines expertise in reactive transport and watershed modeling, environmental genomics and ecosystems biology, plant physiology, environmental geophysics, vadose zone hydrology, low-temperature and isotope geochemistry, data science, and environmental synchrotron science. Funded partners include the University of California, Berkeley; Colorado School of Mines; Fort Lewis College; University of Arizona; Desert Research Institute; Navarro, Inc.; and Subsurface Insights. Representing a community watershed, the project involves key collaborations with investigators from 25 additional laboratories, universities, state and federal agencies, and stakeholder groups, providing extensive leveraging of support from BER and others.
Research Activity Focus. The Watershed Function SFA is addressing the supporting science questions by exploring the integrated response of (a) perturbations impacting precipitation form, timing, and infiltration through subsurface compartments, including the vadose zone and fractured bedrock; (b) vegetation controls on fluid and nutrient fluxes; and (c) influence of organic matter–mineral interactions on biogeochemical transformations occurring across (d) a heterogeneous digital watershed. Such processes are represented within (e) numerical models that simulate hydrobiogeochemical functioning in a “watershed reactor,” with variable resolution and over hundreds of square kilometers.
Click images to enlarge.
This video presents a virtual site visit of the off channel wetland complex upstream of the Pumphouse region on the East River main stem. (Jul. 21, 2019)
The video introduces the Watershed Science Community to DOE-funded researcher Dr. Marty Briggs (USGS) who is currently working with his extended team at multiple locations within the East River watershed to explore a diversity of groundwater-surface zone interactions zones. (Aug. 3, 2018)
Climate and Environmental Sciences Division (CESD) Strategic Plan 2018 (PDF; 14MB)
November 2019 [PDF]