Opportunity Information: Apply for G14AS00021
Apply for G14AS00021
- 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, Colorado Plateau 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 Jan 8, 2014 and posted on Dec 30, 2013.
- Applicants must submit their applications by Jan 17, 2014. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $24,402.00 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. CESUs are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Colorado Plateau Cooperative Ecosystem Studies Unit (CPCESU) Program.
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Opportunity Summary:
The Cooperative Ecosystem Studies Unit, Colorado Plateau CESU opportunity (Funding Opportunity Number G14AS00021) was a US Geological Survey (USGS) Western Geographic Science Center (WGSC) discretionary funding announcement for a single cooperative agreement award supporting science and technology research and development. The project focus was on improving the ability to predict how coastal habitats, especially coastal wetlands and marshes, will respond to sea level rise by building a spatially explicit forecasting tool. In practical terms, USGS was looking to strengthen the field-based evidence needed to create reliable, map-based models of marsh vegetation that can then be linked with remote sensing data to produce forecasts decision makers can actually use.
The core need behind the award was field data collection to calibrate and validate coastal wetland vegetation maps. USGS intended to use those field measurements to improve remote sensing-based vegetation models, aiming for sufficiently high accuracy to support a forecasting tool rather than a purely descriptive map product. The announcement makes clear that the value of the work is not just collecting data for its own sake, but collecting the specific types of measurements that allow modelers to tune classifications, check map accuracy, and ensure that remotely sensed vegetation products match conditions on the ground across real marsh landscapes. By investing in this calibration and validation work, USGS monitoring and research teams would be better positioned to produce consistent, defensible vegetation layers that underpin projections of habitat change as sea levels rise.
USGS emphasized that the ideal partner would already understand and be able to work within the NOAA National Estuarine Research Reserve System (NERRS) monitoring framework. In particular, they sought a partner with strong working knowledge of the NERRS System-Wide Monitoring Program and the NERRS Sentinel Sites Program standards. That includes familiarity with established methods for vegetation monitoring, water quality monitoring, measuring wetland surface elevation change, and establishing and using a vertical reference system. The inclusion of surface elevation change and vertical reference systems signals that USGS was concerned with the elevation dynamics that control marsh persistence, inundation frequency, and vegetation zonation, all of which are central to sea level rise vulnerability assessments. Just as importantly, USGS wanted a partner that understands the coastal management context under climate change and sea level rise, meaning the partner should be able to collect and frame data in ways that align with the needs of coastal planners and resource managers.
In terms of funding and administrative details, the opportunity was issued under the Cooperative Ecosystem Studies Unit (CESU) Program, specifically the Colorado Plateau Cooperative Ecosystem Studies Unit (CPCESU). Only participating partners in that CESU network were eligible to apply, which is typical of CESU opportunities that rely on pre-established partnerships for research, technical assistance, and education. The CFDA number associated with the program was 15.808 (US Geological Survey Research and Data Collection). USGS anticipated making one award, with an estimated total funding amount of $24,402. No cost sharing or matching requirement was listed. Award floor and ceiling were shown as $0, which generally indicates that a fixed ceiling was not specified in that field even though an estimated total funding amount was provided.
The posting timeline shows that the announcement was posted on December 30, 2013, created on January 8, 2014, and originally closed January 10, 2014, later extended to a current closing date of January 17, 2014. The archive date was March 31, 2014. The listed agency was the Geological Survey (USGS). For access issues or questions, the point of contact was Faith Graves (703-648-7356, fgraves@usgs.gov), and the additional information link pointed to Grants.gov.
Overall, this was a narrowly targeted, relatively small, single-award cooperative agreement aimed at filling a critical data gap: high-quality, standards-based field observations of coastal wetland vegetation and related environmental and elevation conditions. Those observations were intended to directly improve the performance of remote sensing vegetation models and, ultimately, enable a credible spatial forecasting tool to help coastal decision makers anticipate habitat shifts driven by sea level rise.
Frequently Asked Questions (FAQs)
What is this funding opportunity?
This opportunity is the Cooperative Ecosystem Studies Unit (CESU), Colorado Plateau CESU announcement (Funding Opportunity Number G14AS00021) issued by the US Geological Survey (USGS) Western Geographic Science Center (WGSC). It was a discretionary funding announcement for a single cooperative agreement award supporting science and technology research and development.
Who is the issuing agency?
The listed agency is the Geological Survey (USGS), specifically the USGS Western Geographic Science Center (WGSC).
What is the CFDA number for this program?
The CFDA number associated with this program is 15.808, titled "US Geological Survey Research and Data Collection."
How many awards did USGS anticipate making?
USGS anticipated making one award.
What type of award was expected?
The announcement anticipated a cooperative agreement. This structure is typically used when the agency expects to be involved in the work beyond simply providing funds.
What was the estimated total funding amount?
The estimated total funding amount was $24,402.
Was cost sharing or matching required?
No cost sharing or matching requirement was listed in the information provided.
Why do the award floor and ceiling show as $0?
The award floor and ceiling were shown as $0. This commonly indicates that those specific fields did not specify a fixed minimum or maximum amount, even though an estimated total funding amount ($24,402) was provided elsewhere in the announcement.
Who was eligible to apply?
Only participating partners in the CESU network were eligible to apply, specifically those within the Colorado Plateau Cooperative Ecosystem Studies Unit (CPCESU). This reflects the CESU program approach of relying on pre-established partnerships for research, technical assistance, and education.
What was the main project focus?
The project focused on improving the ability to predict how coastal habitats, especially coastal wetlands and marshes, will respond to sea level rise by building a spatially explicit forecasting tool.
What practical outcome was USGS aiming for?
USGS was aiming to strengthen field-based evidence so that reliable, map-based models of marsh vegetation could be developed and linked with remote sensing data to produce forecasts that decision makers can use.
What problem or gap was the award intended to address?
The core need behind the award was field data collection to calibrate and validate coastal wetland vegetation maps. USGS highlighted that the value was in collecting specific measurements that allow modelers to tune classifications, check accuracy, and ensure remotely sensed vegetation products match real on-the-ground marsh conditions.
What kinds of work and data collection were emphasized?
The announcement emphasized field measurements needed to calibrate and validate remote sensing-based vegetation models. It also referenced established methods for vegetation monitoring, water quality monitoring, measuring wetland surface elevation change, and establishing and using a vertical reference system.
Why were calibration and validation so important in this announcement?
USGS intended to use field measurements to improve remote sensing-based vegetation models to reach sufficiently high accuracy for a forecasting tool, not just a descriptive map. Calibration and validation were positioned as the steps that make vegetation layers consistent and defensible for projections of habitat change under sea level rise.
How does remote sensing fit into the project?
Remote sensing was central to producing vegetation models and map products, but the opportunity stressed that field data were needed to calibrate classifications and validate map accuracy so the remotely sensed products reliably reflect actual marsh vegetation patterns across landscapes.
What is meant by a "spatially explicit forecasting tool" in this context?
Based on the provided description, it refers to a map-based tool capable of forecasting how coastal wetlands and marshes may change in response to sea level rise, using models grounded in field measurements and linked to remote sensing data.
Why did the opportunity emphasize wetland surface elevation change and vertical reference systems?
The inclusion of surface elevation change and vertical reference systems signals concern with elevation dynamics that control marsh persistence, inundation frequency, and vegetation zonation. These factors are central to assessing vulnerability to sea level rise.
What partner capabilities did USGS consider "ideal"?
USGS emphasized that the ideal partner would already understand and be able to work within the NOAA National Estuarine Research Reserve System (NERRS) monitoring framework.
Which NERRS components and standards were specifically mentioned?
The opportunity specifically mentioned strong working knowledge of the NERRS System-Wide Monitoring Program and the NERRS Sentinel Sites Program standards.
What kinds of monitoring familiarity did USGS want the partner to have?
USGS sought familiarity with established methods for vegetation monitoring, water quality monitoring, measuring wetland surface elevation change, and establishing and using a vertical reference system, as referenced within the NERRS framework and standards.
Was the work intended to support coastal management decision-making?
Yes. USGS wanted a partner that understands the coastal management context under climate change and sea level rise and can collect and frame data in ways that align with the needs of coastal planners and resource managers.
When was the opportunity posted and created?
The posting timeline shows it was posted on December 30, 2013, and created on January 8, 2014.
What were the closing dates?
The opportunity originally closed on January 10, 2014, and was later extended to a current closing date of January 17, 2014.
When was the opportunity archived?
The archive date was March 31, 2014.
Where was additional information available?
The additional information link pointed to Grants.gov.
Who was the point of contact for access issues or questions?
The point of contact was Faith Graves. Phone: 703-648-7356. Email: fgraves@usgs.gov.
What was the overall scope and size of this opportunity?
It was described as a narrowly targeted, relatively small, single-award cooperative agreement intended to fill a critical data gap by funding high-quality, standards-based field observations supporting coastal wetland vegetation modeling and sea level rise forecasting.
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