Opportunity Information: Apply for F17AS00222
The Delta Smelt Individual Based Life Cycle Model: Improvement and Application grant opportunity (Funding Opportunity Number F17AS00222) was a discretionary cooperative agreement offered by the U.S. Department of the Interior, Fish and Wildlife Service under the Environment funding activity category (CFDA 15.608). Posted on July 26, 2017 and originally closing on August 1, 2017, it anticipated making a single award with a funding ceiling of $273,596. Eligibility was limited to public and state-controlled institutions of higher education, signaling that the work was intended to be led by universities or similar public academic entities with the technical capacity to conduct advanced ecological modeling and applied analysis.
The project focus was to strengthen and expand the Delta Smelt Individual Based Model (DSIBM), an individual-based life cycle model used to simulate Delta Smelt population dynamics. In practical terms, the DSIBM represents the life history of Delta Smelt at the level of individual fish (or representative individuals) and uses those individual outcomes to estimate population-level patterns. The grant sought improvements that would make the model more robust and useful for management by better capturing key biological processes such as reproduction, growth, mortality, and movement, and by improving how those processes respond to environmental conditions in the San Francisco Bay-Delta system.
A central purpose of the work was applying the improved model to analyze how multiple environmental drivers, acting alone and in combination, influence Delta Smelt throughout their life cycle. While the opportunity description does not list every driver explicitly, the intent is clearly to handle multi-factor effects rather than single-variable sensitivity checks. This kind of modeling approach is especially important in the Bay-Delta, where water temperature, salinity, turbidity, food availability, habitat distribution, predation pressure, and hydrodynamic conditions can vary across space and time and can interact in ways that are difficult to isolate with field studies alone.
Another major application area was evaluating long-term water operations scenarios for the Central Valley Project (CVP) and the State Water Project (SWP). The improved DSIBM was intended to be used as an analytical tool to estimate potential positive or negative effects of alternative operational regimes on Delta Smelt. That includes the kinds of long-horizon planning scenarios that affect flow patterns, exports, and habitat conditions in the estuary, where operational decisions can influence the timing and location of suitable habitat and the degree of entrainment risk. By allowing scenario comparisons in a quantitative and repeatable way, the model would support assessments of tradeoffs and help identify strategies that reduce risk to the species while informing water management planning.
Overall, the opportunity aimed to deliver a more capable decision-support model that can produce quantitative assessments and predictions of Delta Smelt population responses under different environmental and operational conditions. The anticipated benefit was stronger scientific support for designing, justifying, and implementing Bay-Delta management measures tied to conservation and recovery of the Delta Smelt, which is listed under the Endangered Species Act. In short, the grant funded both the technical refinement of a key population model and its direct application to real-world management questions involving environmental change and major water project operations.Apply for F17AS00222
- The Department of the Interior, Fish and Wildlife Service in the environment sector is offering a public funding opportunity titled "Delta Smelt Individual Based Life Cycle Model: Improvement and Application" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.608.
- This funding opportunity was created on Jul 26, 2017.
- Applicants must submit their applications by Aug 01, 2017. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $273,596.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Public and State controlled institutions of higher education.
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