Opportunity Information: Apply for G15AS00012

  • The Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studes 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 Nov 5, 2014 and posted on Nov 5, 2014.
  • Applicants must submit their applications by Nov 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 $20,000.00 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 Great Basin Cooperative Ecosystem Studies Unit Program.
Apply for G15AS00012

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Opportunity Summary:

The Cooperative Ecosystem Studies Unit, Colorado Plateau CESU grant opportunity (Funding Opportunity Number G15AS00012) is a US Geological Survey (USGS) Western Geographic Science Center (WGSC) solicitation for a single cooperative agreement to support applied research on climate and vegetation monitoring in the Sierra Nevada and Great Basin ecoregions. The project focus is on refining multi-temporal monitoring techniques that track how vegetation changes within seasons and between seasons, and then linking those vegetation signals to climate patterns. The broader intent is to improve understanding of the climatic drivers shaping vegetation condition and dynamics, especially in sensitive land cover types where management decisions depend on credible, long-term indicators.

Technically, the opportunity builds on existing USGS and partner monitoring work using remotely sensed vegetation data from MODIS and Landsat, which provide repeated observations useful for detecting changes in vegetation greenness, productivity, and phenology over time. On the climate side, the work draws from widely used gridded climate datasets such as PRISM, DAYMET, and NLDAS that support daily-to-monthly characterization of variables like temperature and precipitation across complex terrain. A core expectation is to strengthen the analytical linkage between these two monitoring streams so investigators can quantify and interpret climate-vegetation relationships across space and time, rather than treating climate and vegetation products as separate reporting layers.

A notable emphasis of the announcement is on leveraging modern raster processing and cloud-based geospatial analysis, specifically referencing Google Earth Engine as an example of an environment that can expand both the geographic coverage and the time span of analyses. The rationale is practical: as satellite archives grow and climate grids become more temporally detailed, traditional desktop workflows can become a bottleneck. By shifting toward scalable processing, the funded effort is expected to make it easier to evaluate vegetation responses to climate variability across larger extents and longer periods, and to do so more efficiently and consistently.

Administratively, this is a discretionary funding opportunity issued as a cooperative agreement under the CESU framework, meaning the award is intended for a partner organization within the relevant CESU network and typically involves substantial collaboration with the federal agency during the project. Eligibility is limited to participating partners of the Great Basin Cooperative Ecosystem Studies Unit Program (the announcement notes "Others" in the general field but clarifies eligibility in the text). The opportunity anticipated one award, with an estimated total funding amount of $20,000, and it did not require cost sharing or matching.

The opportunity was posted and created on November 5, 2014, with an original and current closing date of November 17, 2014, and an archive date of February 5, 2015. The CFDA number associated with the program is 15.808 (US Geological Survey Research and Data Collection). For access issues or questions tied to the full announcement, the listed point of contact was Faith Graves at 703-648-7356 or fgraves@usgs.gov, and the general source for the posting was Grants.gov.

Frequently Asked Questions (FAQs)

What is the funding opportunity number for this grant?

The Funding Opportunity Number is G15AS00012.

Which agency is offering this funding opportunity?

This is a US Geological Survey (USGS) solicitation issued through the USGS Western Geographic Science Center (WGSC) under the Cooperative Ecosystem Studies Unit (CESU) framework.

What type of award is being offered?

The opportunity is offered as a cooperative agreement, not a standard grant. Under the CESU framework, cooperative agreements typically involve substantial collaboration between the award recipient and the federal agency during the project.

How many awards are anticipated?

The announcement anticipated one (1) award.

What is the estimated total funding amount?

The estimated total funding amount listed for the opportunity is $20,000.

Is cost sharing or matching required?

No. The opportunity states that cost sharing or matching is not required.

Who is eligible to apply?

Eligibility is limited to participating partners of the Great Basin Cooperative Ecosystem Studies Unit (CESU) Program. While the general field may note "Others," the eligibility requirement is clarified in the announcement text.

What is the main purpose of this cooperative agreement?

The cooperative agreement is intended to support applied research focused on climate and vegetation monitoring, specifically to improve how vegetation change signals are linked to climate patterns over time.

Which regions/ecoregions does the project focus on?

The project focuses on the Sierra Nevada and Great Basin ecoregions.

What is meant by "multi-temporal monitoring techniques" in this opportunity?

In this context, multi-temporal monitoring refers to techniques that track vegetation change within seasons and between seasons over time, using repeated observations to detect patterns in greenness, productivity, and phenology.

What is the broader intent of the research?

The broader intent is to improve understanding of the climatic drivers that shape vegetation condition and dynamics, especially in sensitive land cover types where management decisions rely on credible, long-term indicators.

What vegetation data sources are referenced in the announcement?

The opportunity specifically references remotely sensed vegetation data from MODIS and Landsat, emphasizing their repeated observations for monitoring vegetation change over time.

What climate datasets are referenced?

The announcement references commonly used gridded climate datasets, including PRISM, DAYMET, and NLDAS, which support daily-to-monthly characterization of climate variables such as temperature and precipitation.

What is a "core expectation" of the funded effort?

A core expectation is to strengthen the analytical linkage between vegetation monitoring products and climate datasets so that climate-vegetation relationships can be quantified and interpreted across space and time, rather than treated as separate layers.

Does the opportunity emphasize any particular computing or processing approach?

Yes. The announcement emphasizes modern raster processing and cloud-based geospatial analysis, specifically referencing Google Earth Engine as an example environment to expand geographic coverage and time span while reducing workflow bottlenecks.

Why does the announcement encourage cloud-based geospatial analysis?

The stated rationale is practical: as satellite archives grow and climate grids become more detailed over time, traditional desktop workflows can become a bottleneck. Scalable processing is expected to support larger extents, longer time periods, and more efficient and consistent analyses.

What program identifier (CFDA) is associated with this opportunity?

The associated CFDA number is 15.808, listed as US Geological Survey Research and Data Collection.

When was the opportunity posted?

The opportunity was posted (and created) on November 5, 2014.

What was the closing date for submissions?

The original and current closing date listed is November 17, 2014.

When was the opportunity archived?

The archive date listed is February 5, 2015.

Where was the opportunity posted?

The general source for the posting was Grants.gov.

Who can be contacted for questions about the full announcement or access issues?

The point of contact listed is Faith Graves. Phone: 703-648-7356. Email: fgraves@usgs.gov.

Is this opportunity described as discretionary funding?

Yes. The description notes that it is a discretionary funding opportunity issued as a cooperative agreement under the CESU framework.

What is the expected relationship between vegetation signals and climate in this work?

The work is intended to link observed vegetation changes (including seasonal and inter-seasonal variation) to climate patterns so investigators can better interpret how climate variability relates to vegetation condition and dynamics over time and across landscapes.

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