River Corridor Hydro-biogeochemistry from Molecular to Multi-Basin Scales Science Focus Area

Transforming understanding of spatial and temporal dynamics in river corridor hydro-biogeochemical functions from molecular reactions to watershed and multi-basin scales

Project website | Overview brochure PDF

Principal investigators: James Stegen, Xingyuan Chen, and Allison Myers-Pigg

Annual reports: 2023 | 2022 | 2021 | 2019 | 2018 | 2016 | 2015 (Note: Reports are not issued during review years.)

Watershed systems are a foundational unit of Earth’s land surface; how these systems will respond to perturbations over the coming decades is highly uncertain. This uncertainty needs to be reduced to enable effective decisions in support of the U.S. Department of Energy’s (DOE) mission. The River Corridor Hydro-biogeochemistry from Molecular to Multi-Basin Scales Science Focus Area (RC-SFA), led by Pacific Northwest National Laboratory, will meet this need by delivering predictive understanding of how perturbations impact watershed hydro-biogeochemistry (HBGC) across the hillslope-to-stream continuum at scales relevant to national water challenges. The SFA is supported by the DOE Biological and Environmental Research (BER) program as part of the Environmental System Science (ESS) program.

Key Scientific Questions

RC-SFA researchers are developing mechanistic understanding of coupled hydrologic and biogeochemical processes across river corridors spanning a wide range of environmental features. The SFA aims to generate transferable and predictive understanding from molecular to multi-basin scales. Key questions include:

• How do wildfires, vegetation, and other environmental features jointly influence hydrologic connectivity?
• How do wildfire and variable inundation interactively influence sediment-associated respiration?
• How do perturbations impact temporal variation in the spatial scaling of sediment-associated respiration?

Translating Process Understanding Across Scales

RC-SFA research employs a hypothesis-centered approach for integrating modeling and experimentation (ModEx) at multiple spatial scales. In this approach, conceptual and mechanistic understanding guide model development. Model predictions guide data generation, and interpretation of generated data further guides model development.

The RC-SFA combines ModEx iteration with intensive place-based research and widely distributed efforts to generate deep mechanistic understanding that is transferable across environmentally diverse watersheds. Measurements and models are integrated from molecular scales emphasizing organic matter thermodynamics to whole watershed scales emphasizing hydrologic connectivity.

Due to its varied environmental features, the Yakima River Basin in Washington serves as the RC-SFA’s single-basin testbed for evaluating hypotheses that can be further tested across multiple basins. To evaluate transferability across the contiguous United States, RC-SFA works with the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS) via a participatory science approach.

Throughout all scales and phases of research efforts, the RC-SFA places significant emphasis on team science built on the foundation of a safe environment for all. This emphasis is essential for delivering project outcomes that are simultaneously transferable across environments and mutually beneficial among interested parties. To foster this environment, the RC-SFA uses integrated, coordinated, open, and networked (ICON) science principles to guide the design and implementation of research efforts. Intentional alignment with these principles ensures project deliverables are integrated across disciplines and scales, coordinated with consistent methods, open throughout the research lifecycle, and networked across interested parties to understand and meet needs of those beyond the core team.

Watershed Perturbations

Watershed function can be disturbed by various changes in conditions, including long-term transitions such as land-use changes or environmental factors as well as episodic events such as wildfires, floods, droughts, or pest infestations. The RC-SFA focuses on wildfire and drying of streams as two interacting perturbations that are shifting in frequency, duration, and severity and have highly uncertain impacts on watershed HBGC that are relevant across most of Earth’s land surface.

HBGC processes modulate water quality, nutrient dynamics, and energy and material fluxes. Perturbations rarely act alone and often compound each other, making it vital to understand their interactive effects on HBGC processes and the cascading impacts on regional and national water challenges.

Given the global relevance and shifting impacts of these perturbations, researchers need clarity on how they jointly impact watershed HBGC. Otherwise, the risk of uncertain predictions increases for future land surface water and organic matter dynamics. The RC-SFA will protect against this risk through a novel focus on interactions between wildfire and variable inundation across environmentally divergent basins of the contiguous United States.

Open Watershed Science by Design

Fully understanding the functioning and dynamics of large and complex watersheds on a continental scale is intractable for individual researchers or even a single research team. Through intentional use of ICON science principles, the RC-SFA enables and partners with a research community that can more effectively solve large scientific challenges through participatory science modalities. For example, WHONDRS is stewarded and coordinated by RC-SFA scientists. WHONDRS is a global consortium of researchers to understand coupled hydrologic, biogeochemical, and microbial function within river corridors, with an emphasis on increasing accessibility of resources and knowledge throughout the research life cycle.

As of November 2024, 27 WHONDRS community data packages have been openly published in DOE’s Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) data repository. A portion of these is part of the RC-SFA’s 58 open datasets.

2024 Abstracts