Opportunity Information: Apply for G13AS00067

  • 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, Great Lakes Northern Forest 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 Jun 24, 2013 and posted on Jun 24, 2013.
  • Applicants must submit their applications by Jul 5, 2013. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • The funding agency has allocated a total of $60,000.00 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 Lakes Northern Forest Cooperative Ecosystem Studies Unit (CESU) Program.
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Opportunity Summary:

This funding opportunity (Funding Opportunity Number G13AS00067) is a US Geological Survey (USGS) cooperative agreement offered through the Cooperative Ecosystem Studies Unit (CESU) Program, specifically the Great Lakes Northern Forest CESU. It was posted on June 24, 2013, with an application deadline of July 5, 2013, and an estimated total funding amount of $60,000. The program anticipates making a single award, and there is no cost sharing or matching requirement listed. The assistance is tied to CFDA 15.808 (U.S. Geological Survey Research and Data Collection) and falls under the Science and Technology and other Research and Development activity category.

At its core, the project is centered on phenology, the timing of recurring biological events such as leaf-out and flowering, and how those timings shift with climate variability. USGS, working with the USA National Phenology Network (USA NPN), is seeking to strengthen scientific understanding of the climate-phenology relationship across broad geographic extents. The longer-term vision is to move toward forecasting phenological events using meteorological and climatological forecasts, which would make phenology more predictable at large scales rather than only something observed after the fact.

To reach that long-term goal, the opportunity emphasizes a key foundational step: producing gridded surface products at regional to continental scales, roughly spanning 10 km to 10,000 km. In practical terms, this means creating spatially continuous datasets (mapped onto grids) that translate climate observations and related inputs into phenology-relevant outputs over large areas. These kinds of gridded products are intended to support multiple downstream applications, including ecosystem and climate-impact analyses, carbon-cycle research, and modeling efforts, as well as decision-making for natural resource management.

The more immediate, shorter-term deliverable is clear and specific: develop and distribute national-scale gridded products for the suite of Spring Indices (SI) described by Schwartz et al. (2012a). The Spring Indices are widely used phenological metrics designed to represent the onset of spring based on temperature-driven models, and in this opportunity they are to be computed using multiple instrumental datasets that may differ in spatial and temporal resolution. A major part of the work is therefore not just computing the indices, but doing so in a way that supports comparison across datasets and resolutions, which is essential if the products are to be used reliably for research, monitoring, and operational decision support.

Another central expectation is standardized data delivery. The resulting SI gridded products are meant to be provided to the USA NPN in consistent, standardized formats so they can be integrated into USA NPN systems. Once incorporated, these products are intended to underpin web-delivered decision support tools hosted by the USA NPN. The anticipated users include both researchers and resource managers who need accessible, national-scale information on spring timing and its variability, particularly as it relates to climate patterns and change.

Eligibility is restricted to organizations that are already participating partners within the Great Lakes Northern Forest CESU network. CESUs are formal partnership arrangements that are set up to facilitate research, technical assistance, and education related to ecosystem science and management, and this opportunity is issued within that partnership framework. Applicants outside that CESU partnership are not eligible under the terms provided. The announcement lists Faith Graves (USGS) as the contact for access issues or additional help, reachable at 703-648-7356 or fgraves@usgs.gov, and points applicants to Grants.gov for the full announcement and related materials.

Funding Opportunity FAQs (USGS CESU - Great Lakes Northern Forest)

What is the funding opportunity number?

The Funding Opportunity Number is G13AS00067.

Which federal agency is offering this opportunity?

This opportunity is offered by the U.S. Geological Survey (USGS).

What type of award is being offered?

The award is a cooperative agreement offered through the Cooperative Ecosystem Studies Unit (CESU) Program, specifically the Great Lakes Northern Forest CESU.

When was the opportunity posted?

It was posted on June 24, 2013.

What is the application deadline?

The application deadline is July 5, 2013.

What is the estimated total funding amount?

The estimated total funding amount is $60,000.

How many awards does USGS expect to make?

The program anticipates making a single award.

Is cost sharing or matching required?

No cost sharing or matching requirement is listed for this opportunity.

What CFDA program is associated with this funding?

The assistance is tied to CFDA 15.808 (U.S. Geological Survey Research and Data Collection).

What is the activity category for this opportunity?

It falls under the Science and Technology and other Research and Development activity category.

What is the main scientific focus of the project?

The project focuses on phenology, meaning the timing of recurring biological events (such as leaf-out and flowering), and how those timings shift with climate variability.

How does this work connect to the USA National Phenology Network?

USGS, working with the USA National Phenology Network (USA NPN), is seeking to strengthen scientific understanding of climate-phenology relationships across broad geographic extents and to support USA NPN systems and decision support tools.

What is the long-term vision described in the opportunity?

The longer-term vision is to move toward forecasting phenological events using meteorological and climatological forecasts, making phenology more predictable at large scales rather than only observed after the fact.

What foundational capability does the opportunity emphasize?

A key foundational step is producing gridded surface products at regional to continental scales, roughly spanning 10 km to 10,000 km.

What are "gridded surface products" in this context?

They are spatially continuous datasets mapped onto grids that translate climate observations and related inputs into phenology-relevant outputs over large areas.

What is the immediate short-term deliverable?

The specific near-term deliverable is to develop and distribute national-scale gridded products for the suite of Spring Indices (SI) described by Schwartz et al. (2012a).

What are the Spring Indices (SI)?

The Spring Indices are widely used phenological metrics designed to represent the onset of spring based on temperature-driven models.

How should the Spring Indices be computed for this project?

The opportunity specifies that the indices are to be computed using multiple instrumental datasets that may differ in spatial and temporal resolution.

Why is using multiple datasets and resolutions important here?

A major part of the work is supporting comparison across datasets and resolutions, which is necessary for the products to be used reliably for research, monitoring, and operational decision support.

How are the resulting products expected to be delivered?

The Spring Indices gridded products are expected to be provided to the USA NPN in consistent, standardized formats so they can be integrated into USA NPN systems.

What will USA NPN do with the delivered Spring Indices products?

Once incorporated into USA NPN systems, the products are intended to underpin web-delivered decision support tools hosted by the USA NPN.

Who are the anticipated end users of the products?

The anticipated users include researchers and resource managers who need accessible, national-scale information on spring timing, variability, and relationships to climate patterns and change.

What kinds of applications are these gridded products intended to support?

They are intended to support ecosystem and climate-impact analyses, carbon-cycle research, modeling efforts, and decision-making for natural resource management.

Who is eligible to apply?

Eligibility is restricted to organizations that are already participating partners within the Great Lakes Northern Forest CESU network.

Are applicants outside the Great Lakes Northern Forest CESU eligible?

No. Under the terms provided, applicants outside that CESU partnership are not eligible.

Where can applicants find the full announcement and related materials?

The opportunity points applicants to Grants.gov for the full announcement and related materials.

Who is the listed point of contact for access issues or additional help?

The announcement lists Faith Graves (USGS) as the contact for access issues or additional help.

How can Faith Graves be reached?

Faith Graves can be reached at 703-648-7356 or by email at fgraves@usgs.gov.

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