Opportunity Information: Apply for 09HQPA0067
Apply for 09HQPA0067
- The Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Rocky Mountain CESU" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808 U.S. Geological Survey Research and Data Collection.
- This funding opportunity was created on Aug 12, 2009 and posted on Aug 12, 2009.
- Applicants must submit their applications by Aug 20, 2009. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $29,939.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
- This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESU s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program.
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Opportunity Summary:
This grant opportunity, titled "Cooperative Ecosystem Studies Unit, Rocky Mountain CESU" (Funding Opportunity Number 09HQPA0067), is a U.S. Geological Survey (USGS) discretionary funding announcement issued as a cooperative agreement under the Cooperative Ecosystem Studies Unit (CESU) Program. It is specifically tied to the Northern Rocky Mountain Science Center (NoRock) and focuses on improving the ability to predict how wildlife diseases spread across large geographic areas. The central problem the project is trying to address is scale: common wildlife movement tools like radio telemetry and GPS collars can describe movements well within local or management-unit boundaries (roughly 10 to 100 miles), but those tools are less practical for understanding connectivity and movement patterns at statewide or regional scales (roughly 100 to 1,000 miles). Because disease dynamics are heavily influenced by how animals and populations connect across those broader landscapes, the opportunity is aimed at developing a more scalable, empirically grounded way to infer movement patterns that can support disease modeling and management decisions.
The work proposed in the announcement is to use genetic data as a proxy for broad-scale movement and population connectivity in mule deer across Montana. The project would analyze about 392 lymph node samples collected from mule deer distributed across the state. Using microsatellite genetic markers, the recipient would assess how strongly different mule deer populations are connected, which effectively provides insight into how frequently animals (or their genes) move between areas over time. The project also calls for comparing connectivity patterns between plains and montane (mountain-associated) habitats and for evaluating whether major landscape features such as large rivers and mountain ranges function as barriers that restrict movement or, alternatively, corridors that facilitate it. In practical terms, the project is trying to map out where mule deer populations are genetically well-mixed versus where they are more isolated, because those patterns can strongly influence where and how fast diseases can spread.
A major intended outcome is to build a foundation for future research that compares these DNA-based connectivity estimates with other emerging or less traditional movement-tracing approaches, including methods based on viral markers carried by mule deer. The long-term goal is to support development of broad-scale wildlife disease models that are grounded in real, measurable movement/connectivity data rather than assumptions. While chronic wasting disease (CWD) is the primary motivating concern mentioned, the announcement emphasizes that the same approach would be broadly useful for other current or future disease threats such as tuberculosis or foot-and-mouth disease, and more generally for wildlife conservation and management challenges where understanding population connectivity matters.
Administratively, the opportunity lists an estimated total funding amount of $29,939, with an expectation of one award. There is no cost-sharing or matching requirement. The CFDA number provided is 15.808 (U.S. Geological Survey Research and Data Collection). The posting date and creation date are both August 12, 2009, and the closing date is August 20, 2009 (with the archive date listed as September 19, 2009). Eligibility is restricted: applicants must be participating partners of the Rocky Mountain CESU Program, since CESUs are structured partnerships designed to deliver research, technical assistance, and education in support of federal resource and science needs. The listed point of contact for access issues or questions is Faith Graves, Contract Specialist, reachable by phone at 703-648-7356.
Frequently Asked Questions (FAQs)
What is the title of this grant opportunity?
The opportunity is titled "Cooperative Ecosystem Studies Unit, Rocky Mountain CESU".
What is the Funding Opportunity Number?
The Funding Opportunity Number is 09HQPA0067.
Which federal agency is offering this funding?
This is a U.S. Geological Survey (USGS) discretionary funding announcement.
What type of award is this (grant, contract, cooperative agreement)?
The announcement is issued as a cooperative agreement under the Cooperative Ecosystem Studies Unit (CESU) Program.
Which CESU is this opportunity associated with?
It is specifically associated with the Rocky Mountain CESU.
Which USGS center is tied to the project?
The opportunity is specifically tied to the Northern Rocky Mountain Science Center (NoRock).
What problem is the project trying to solve?
The project addresses the challenge of understanding wildlife movement and connectivity at large geographic scales in order to better predict how wildlife diseases spread. Common movement tools (like radio telemetry and GPS collars) work well at local or management-unit scales (about 10 to 100 miles) but are less practical for statewide or regional scales (about 100 to 1,000 miles).
What is the main scientific approach proposed?
The work proposes using genetic data as a proxy for broad-scale movement and population connectivity in mule deer across Montana.
What samples will be analyzed, and how many?
The project would analyze approximately 392 lymph node samples collected from mule deer distributed across Montana.
What genetic markers will be used?
The announcement specifies the use of microsatellite genetic markers.
What does "connectivity" mean in this project?
Connectivity refers to how strongly different mule deer populations are genetically connected, which provides insight into how frequently animals (or their genes) move between areas over time. These patterns can indicate where populations are more well-mixed versus more isolated.
What comparisons or landscape questions are included in the project?
The project includes comparing connectivity patterns between plains and montane (mountain-associated) habitats, and evaluating whether major landscape features such as large rivers and mountain ranges act as barriers that restrict movement or corridors that facilitate it.
How does this work relate to wildlife disease management?
Disease dynamics are influenced by how animal populations connect across broad landscapes. By mapping genetic connectivity, the project aims to provide empirically grounded movement/connectivity information that can support disease modeling and management decisions.
Is chronic wasting disease (CWD) part of the motivation for this work?
Yes. Chronic wasting disease (CWD) is identified as the primary motivating concern mentioned in the announcement.
Are other diseases mentioned as relevant to the approach?
Yes. The announcement notes the approach would also be useful for other current or future disease threats such as tuberculosis or foot-and-mouth disease, and more broadly for wildlife conservation and management challenges where understanding connectivity matters.
What is an intended outcome beyond this specific analysis?
A major intended outcome is to build a foundation for future research comparing DNA-based connectivity estimates with other emerging or less traditional movement-tracing approaches, including methods based on viral markers carried by mule deer.
What is the estimated total funding amount?
The estimated total funding amount is $29,939.
How many awards are expected?
The announcement indicates an expectation of one award.
Is cost-sharing or matching required?
No. The opportunity states there is no cost-sharing or matching requirement.
What CFDA number is associated with this opportunity?
The CFDA number listed is 15.808 (U.S. Geological Survey Research and Data Collection).
When was the opportunity posted?
The posting date is August 12, 2009. The creation date is also listed as August 12, 2009.
What is the application closing date?
The closing date is August 20, 2009.
Is there an archive date listed?
Yes. The archive date is listed as September 19, 2009.
Who is eligible to apply?
Eligibility is restricted to participating partners of the Rocky Mountain CESU Program.
Why is eligibility restricted to Rocky Mountain CESU partners?
The announcement explains that CESUs are structured partnerships designed to deliver research, technical assistance, and education in support of federal resource and science needs, and this opportunity is issued within that CESU framework.
Who is the point of contact for questions or access issues?
The listed point of contact is Faith Graves, Contract Specialist.
How can the point of contact be reached?
Faith Graves can be reached by phone at 703-648-7356.
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