Grants / Department of Defense / Engineer Research and Development Center

W81EWF-23-SOI-0025: Parameterizing next generation ecological models to predict species growth responses in aquatic systems

Closed Closed August 30, 2023 Opportunity W81EWF-23-SOI-0025 ☆ Save

This grant is closed. A newer notice from the same program is open now: ERDC Broad Agency Announcement (W912HZ26S0001). Status: Closes January 1, 2027 (55 days left). It is in our archive of Engineer Research and Development Center notices from 2023.

• Award ceiling$300,000
• Total funding$300,000
• Expected awards1
• Cost sharingNot required
• Funding typeCooperative Agreement

Key dates

Who can apply

This opportunity was open to the applicants described in the notice.

• Others (see text field entitled "Additional Information on Eligibility" for clarification)

This opportunity is restricted to non-federal partners of the Gulf Coast Cooperative Ecosystems Studies Unit (CESU).

Is this a realistic fit?

• Past Basic, Applied, and Advanced Research in Science and Engineering awards averaged $1.1 million; this notice allows up to $300,000 per award.
• Most of the program's money (69% over five years) went to colleges and universities.
• No cost sharing or match is required.

What the grant funds

Program Description A. Short Description of Funding Opportunity ERDC seeks applications for integrating and parameterizing high-quality field and experimental mesocosm data into dynamic general vegetation model(s) (Gen Veg). B. Background Accurately predicting ecosystem responses to aquatic nuisance species and changing climate conditions is difficult. The USACE requires information about future conditions to make decisions on how to maintain and operate its water resource projects and infrastructure. The USACE requires ecological models to inform its decisions. There is a need to elevate the accuracy of ecological models by incorporating more dynamic parameters and coupling them to physical process models. This research effort is focused on compiling field and experimental mesocosim data collected on aquatic vegetation in response to changing water quality and hydrology variables and integrating this data into general vegetation growth model (Gen Veg). This research effort focuses on 1) compiling existing data sets of vegetation growth in response to various water quality and hydrology changes; and 2) integrating data into Gen Veg, via parameterization, model evaluation, testing and communication. C. Program Description/Objective: This project will establish an interdisciplinary collaboration between USACE and a University partner. This collaboration will compile, integrate, and parameterize wetland vegetation growth data from data collected from the field and controlled experiments. This collaboration seeks to improve dynamic general vegetation growth model(s) with a module focused on the response of riparian vegetation to future conditions (i.e., changes in hydrology, water quality). Successful proposals will also (a) clearly identify question(s) the proposed project will seek to answer (i.e., project technical objectives); (b) clearly describe the data analytic skills required to answer those question(s) (i.e., data quality objectives); and (c) describe envisioned project deliverables by task and by year. Proposals that demonstrate intent to maximize use of existing data sets generated from past collaborations, and activities are required. Successful proposals will identify quantitative and qualitative success criteria for each project task and objective; identification of go/no-go decision points at the end of each year is also encouraged.

Category: Science and Technology and other Research and Development.

Applying now

This notice no longer takes applications. Apply under the newer notice, W912HZ26S0001, which is open now.

The notice on Grants.gov keeps its full text and attachments, which is useful for planning a resubmission.