Closed · W81EWF-20-SOI-0018 · CFDA 12.630 · Discretionary

Preparing for the Future: Developing Next Generation Ecological Models and Tools to Predict Ecological Futures for USACE Operations

Federal grant opportunity posted by Engineer Research and Development Center, cataloged on Grants.gov.

up to $2.5M
Award range
Closed
Status
June 12, 2020
Close date
1
Expected awards

The verdict

Preparing for the Future: Developing Next Generation Ecological Models and Tools to Predict Ecological Futures for USACE Operations is a closed discretionary listing from Engineer Research and Development Center that offered Up to $2,500,000 across 1 expected award. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 124 other opportunities from Engineer Research and Development Center.

up to $2.5M
award range
Closed
application status
1
expected award
12.630
CFDA program

Archived opportunity record

Preparing for the Future: Developing Next Gen… is closed (last close June 12, 2020). Check the agency catalog for replacement NOFOs. Engineer Research and Development Center still indexes 124 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

Closed June 12, 2020

Posted Apr 15 Closes Jun 12

Est. Total Funding

$7,500,000

Expected Awards

1

Instrument

Cooperative Agreement

Description

Background: The overall objective of this project seeks to develop next generation integrated ecological models to better predict ecological response across spatial and temporal scales. These models will illustrate how the distributions and abundances of invasive species will change in uncertain futures, maintaining and improving navigation infrastructure, managing flood risk and coastal storm damage, among others. Current ecological models do not have the quantitatively rigorous predictive capacity compared to engineering-based models. Improved integrated ecological models will benefit the Public in formulating sustainable strategies that balance societal and environmental needs of the inland and intracoastal navigable waterways. These waterways are tightly integrated systems driven by complex, system-level interactions among physical, ecological and social factors. Accurate forecasting of how these integrated systems will respond to the changing face of the natural and physical environment, (e.g., colonization of new regions by both native and invasive species, increased flood risk, economic drivers, among others) is needed. The university partner will complete field and laboratory studies to determine the physical and environmental drivers that are responsible for shaping ecological response across spatial and temporal scales. These studies will provide critical data and parameters for developing and parameterizing next generation integrated ecological models that can be used to predict ecological response including invasive species colonization. Brief Description of Anticipated Work: This research will focus on the following objectives Develop a robust field-based dataset that determine which environmental variables drive the distribution and abundance of aquatic species (surface and hyporheic, native and invasive) at multiple spatial and temporal scales and across hydrogeomorphic conditions.Quantification of small-scale patterns in ecological response for invasive and native benthic communities to quantify how changes in flow affect spatial distributions.Develop streamflow studies to quantify how differences in climatic disturbance (e.g., flood and drought) impact ecological response for invasive and native benthic communities across temporal scales.Determine positive and negative associations among species with respect to their distribution and abundance and examine if these associations are a consequence of interactions through biological or abiotic pathways.Quantify relationships between the hydrogeomorphology of a watershed and species distributions within the watershed.Develop parameter estimates for next generation integrated ecological models developed for quantifying ecological response.

Catch-all / unrestricted eligibility mark · W81EWF-20-SOI-0018

Grants.gov marks Preparing for the Future: Developing Next Gen… with a catch-all / unrestricted eligibility code (Others (see official listing text)). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Cooperative Agreement. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the Engineer Research and Development Center book (100 peers, 80% of 125).

Code 25
Others (see official listing text)

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

Derek Howard Contract Specialist Phone 601-634-3310

What to do next

Preparing for the Future: Developing Next Gen… is closed; use the parent program and agency catalog for the next funding cycle.

  • Browse open federal opportunities in the same category when this listing is closed. Open opportunities
  • Look up CFDA 12.630 across all indexed listings before you commit to this opportunity alone. Eligibility finder
  • Compare award ranges across federal categories before you pick a single CFDA. All categories

Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants