Opportunity Information: Apply for 09HQPA0052
Apply for 09HQPA0052
- 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 Jul 14, 2009 and posted on Jul 14, 2009.
- Applicants must submit their applications by Jul 24, 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 $37,483.00 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 09HQPA0052), is a U.S. Geological Survey (USGS) discretionary funding announcement issued through the Northern Rocky Mountain Science Center (NOROCK). It supports a research project focused on understanding how wetland hydrology varies across different monitoring locations and how those hydrologic patterns relate to changes in vegetation over time. The core idea is to use high time-resolution hydrologic measurements to capture both rapid, short-term fluctuations (such as event-driven changes) and longer-term trends (such as seasonal or gradual shifts), then compare patterns across sites to better understand hydraulic gradients and ecological response.
A central technical requirement is the use of generalized additive mixed models (GAMMs) to analyze the hydrologic time series. The GAMMs are intended to separate short- and long-term behavior at individual monitoring locations while properly accounting for spatial and temporal correlation in the data (for example, repeated measurements from the same site, or measurements that are autocorrelated through time). After characterizing these time-series patterns, the project aims to link the modeled behaviors to site-specific characteristics, including geological attributes and vegetation conditions. The announcement suggests two broad analysis pathways: first, incorporating site characteristics directly into the GAMM framework to explain differences among locations; and second, using patterns extracted from the GAMMs and then testing their association with vegetation or geology using multivariate permutation-based methods, such as Multiple Response Permutation Procedure (MRPP) or permutation MANOVA (PERMANOVA).
A notable complication the project must address involves slug tests that were performed to estimate hydraulic conductivity of surrounding materials. Because slug tests can temporarily disturb the hydrologic signal, the announcement emphasizes that their effects should be removed before interpreting broader site hydrology patterns. To do this, the work is expected to apply time series intervention modeling approaches to estimate the magnitude and duration of slug-test impacts and to produce corrected time series with those effects removed for subsequent modeling and ecological interpretation.
Administratively, the award is to be made as a cooperative agreement, with one expected award and an estimated total funding amount of $37,483. There is no stated cost-sharing or matching requirement. The associated CFDA number is 15.808 (U.S. Geological Survey Research and Data Collection). Eligibility is limited to organizations that are official participating partners in the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program, reflecting the CESU structure as a partnership mechanism for research, technical assistance, and education. The opportunity was posted July 14, 2009, with a closing date of July 24, 2009, and it was later archived on August 23, 2009. The listed contact for access issues is Faith Graves, Contract Specialist, 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 (FON) is 09HQPA0052.
Which federal agency is offering this opportunity?
This is a discretionary funding announcement from the U.S. Geological Survey (USGS).
Which USGS office is associated with the announcement?
The announcement is issued through the Northern Rocky Mountain Science Center (NOROCK).
What type of award will be made?
The award is expected to be made as a cooperative agreement.
How many awards are expected?
The announcement indicates one expected award.
What is the estimated total funding amount?
The estimated total funding amount is $37,483.
Is cost sharing or a match required?
No. The opportunity states there is no cost-sharing or matching requirement.
What is the CFDA number for this opportunity?
The CFDA number listed is 15.808, labeled U.S. Geological Survey Research and Data Collection.
Who is eligible to apply?
Eligibility is limited to organizations that are official participating partners in the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program.
What is the research focus of the project?
The project focuses on understanding how wetland hydrology varies across monitoring locations and how those hydrologic patterns relate to changes in vegetation over time.
What kinds of hydrologic patterns are intended to be captured?
The work is intended to use high time-resolution hydrologic measurements to capture both rapid, short-term fluctuations (such as event-driven changes) and longer-term trends (such as seasonal or gradual shifts).
How will the project compare hydrology across sites?
The project plans to compare time-series patterns across sites to better understand hydraulic gradients and ecological response among monitoring locations.
Is there a required statistical modeling approach?
Yes. A central technical requirement is the use of generalized additive mixed models (GAMMs) to analyze the hydrologic time series.
What are the GAMMs expected to accomplish in this study?
The GAMMs are intended to separate short-term and long-term behavior at individual monitoring locations while accounting for spatial and temporal correlation in the data, such as repeated measurements from the same site and autocorrelation through time.
How does the project plan to connect hydrology results to site characteristics?
After characterizing time-series patterns, the project aims to link modeled behaviors to site-specific characteristics, including geological attributes and vegetation conditions.
What analysis pathways does the announcement suggest for relating hydrology to site differences?
The announcement suggests two broad pathways: (1) incorporating site characteristics directly into the GAMM framework to explain differences among locations; and (2) extracting patterns from the GAMMs and then testing associations with vegetation or geology using multivariate permutation-based methods.
Which permutation-based methods are specifically mentioned?
The announcement specifically mentions Multiple Response Permutation Procedure (MRPP) and permutation MANOVA (PERMANOVA).
What complication related to slug tests must be addressed?
The project must address the fact that slug tests (performed to estimate hydraulic conductivity of surrounding materials) can temporarily disturb the hydrologic signal, which could affect interpretation of broader site hydrology patterns.
What is expected to be done about slug-test impacts on the time series?
The announcement emphasizes that slug-test effects should be removed before interpreting broader hydrology patterns. The work is expected to apply time series intervention modeling to estimate the magnitude and duration of slug-test impacts and to produce corrected time series for subsequent modeling and ecological interpretation.
What kinds of correlations in the data does the modeling need to account for?
The modeling is expected to account for spatial and temporal correlation, including examples like repeated measurements from the same site and measurements that are autocorrelated through time.
When was the opportunity posted?
The opportunity was posted on July 14, 2009.
What was the application closing date?
The closing date was July 24, 2009.
Was this opportunity archived?
Yes. It was later archived on August 23, 2009.
Who is the contact person listed for access issues?
The listed contact for access issues is Faith Graves, Contract Specialist.
What is the contact phone number provided?
The phone number provided is 703-648-7356.
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