Environmental System Science (ESS)
Closed Posted
- Opportunity number
- DE-FOA-0003475
- Agency
-
Department of Energy
- Applications due
- Award size
- $100,000 to $1,000,000
Opportunity facts
- Assistance listings
- Funding instrument
- Grant
- Category
-
- Science and Technology and other Research and Development
- Eligible applicants
-
- Other
- Points of contact
Opportunity details come from Grants.gov. Updated .
About this opportunity
The Department of Energy (DOE) Office of Science's Biological and Environmental Research (BER) program is seeking applications for its Environmental System Science (ESS) research program. The goal is to advance an integrated, robust, and scale-aware predictive understanding of terrestrial systems and their interdependent microbial, biogeochemical, ecological, hydrological, and physical processes. The NOFO solicits applications across three Science Research Areas: 1) plant-soil-microbe interactions and biogeochemical processes, 2) synthesis studies of U.S. southeast coastal systems, and 3) synthesis studies of marginal and degraded lands. Pre-applications are due December 11, 2024, with full applications due March 13, 2025.
The total available funding is $6 million for 6 to 10 awards. For Science Research Area #1, awards will range from $300,000 to $1,000,000 for up to 3 years. For Areas #2 and #3, awards will range from $100,000 to $400,000 for up to 2 years. Eligible applicants include domestic organizations except 501(c)(4) nonprofits, with DOE/NNSA National Laboratories ineligible to apply or receive subawards. Successful applicants must share data through the ESS-DIVE repository and attend annual PI meetings.
Synopsis
The DOE SC program in Biological and Environmental Research (BER) hereby announces its interest in receiving applications for research in Environmental System Science (ESS). The goal of the ESS program in BER is to advance an integrated, robust, and scale-aware predictive understanding of terrestrial systems and their interdependent microbial, biogeochemical, ecological, hydrological, and physical processes. The ESS program scope advances foundational process knowledge with an emphasis on understudied ecosystems. This NOFO will consider applications that focus on measurements, experiments, field data, modeling, and synthesis to provide improved understanding and representation of ecosystems and watersheds in ways that advance the sophistication and capabilities of models that span from individual processes to Earth-system scales. This NOFO will encompass three Science Research Areas: 1) plant-soil-microbe interactions and their influence on belowground biogeochemical processes; 2) synthesis studies using existing data that address testing of ESS-relevant hypotheses and development of transferable insights into knowledge gaps for U.S. southeast coastal systems; and 3) synthesis studies on contributions and vulnerabilities of Earth system processes in marginal and degraded lands.
The BER ESS program goal is to advance an integrated, robust, and scale-aware predictive understanding of terrestrial systems and their interdependent microbial, biogeochemical, ecological, hydrological, and physical processes. To support this goal, the program uses a systems approach to develop an integrative framework to elucidate the complex processes and controls on the structure, function, feedbacks, and dynamics of terrestrial and watershed systems, that span from molecular to global scales and extend from the bedrock through the soil, rhizosphere, and vegetation to the atmosphere. The ESS program scope advances foundational process knowledge with an emphasis on understudied ecosystems. Supported research emphasizes ecological and hydro-biogeochemical linkages among system components and characterization of processes across interfaces (e.g., terrestrial-aquatic, coastal, urban) to address key knowledge gaps and uncertainties across a range of spatial and temporal scales. Incorporation of scientific findings into process and system models is an important aspect of the ESS strategy, both to improve predictive understanding as well as to enable the identification of new research questions and directions.
Files
| File | Type | Posted |
|---|---|---|
| DE-FOA-0003475.000001.pdf | ||
| DE-FOA-0003475.pdf | ||
| DE-FOA-0003475.000001.pdf |
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