Opportunity Information: Apply for 09HQPA0039
Apply for 09HQPA0039
- 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 Jun 2, 2009 and posted on Jun 2, 2009.
- Applicants must submit their applications by Jun 11, 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 $18,400.00 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:
The Cooperative Ecosystem Studies Unit, Rocky Mountain CESU grant opportunity (Funding Opportunity Number 09HQPA0039) is a U.S. Geological Survey (USGS) discretionary funding announcement issued through the Cooperative Ecosystem Studies Unit (CESU) program. It supports science and technology research and development under CFDA 15.808 (USGS Research and Data Collection) and is structured as a cooperative agreement, meaning the agency expects to be actively involved with the recipient during the project rather than simply issuing a stand-alone grant.
The core purpose of the project is to build a GIS-based, spatially explicit model that estimates the probability of grizzly bear occurrence across the Greater Yellowstone Ecosystem (GYE). In practical terms, the deliverable is a map-based decision tool that can identify which places in the GYE are most likely to be used by grizzly bears and then rank those habitats by predicted use. Along the way, the modeling effort is also intended to highlight the habitat characteristics that are most strongly associated with bear use, helping managers understand what landscape features are driving grizzly distribution and habitat selection.
Geographically, the work is meant to cover the entire Greater Yellowstone Ecosystem, not just the national parks. The study area includes Yellowstone and Grand Teton National Parks, six surrounding national forests, and additional state and private lands spanning parts of Wyoming, Montana, and Idaho. That broad footprint signals an intent to produce results that can inform ecosystem-scale planning and management across multiple jurisdictions, including federal land managers as well as state and potentially private stakeholders who operate within the same ecological system.
Methodologically, the announcement describes a classic "use-availability" study design. In this approach, observed locations or indicators of grizzly bear use (for example, telemetry locations or monitoring detections) are compared against the conditions available on the landscape. The Northern Rocky Mountain Science Center (NOROCK) will provide the bear habitat-use information from its ongoing research and monitoring programs, while habitat availability will be characterized using existing GIS layers covering the GYE. Those GIS layers are expected to represent key theme categories relevant to habitat selection, including vegetation (such as cover types or productivity), physiography (such as elevation, slope, aspect, or terrain), and anthropogenic factors (such as roads, development, recreation pressure, or other human-related influences).
The opportunity also outlines several candidate statistical and spatial modeling techniques that may be tested or applied to estimate probability of use or to rank habitats. These include logistic discriminant analysis for ranking habitats by probability of use, a parametric weighted distribution approach (Lele and Keim, 2006) aimed at modeling actual probabilities of use, and nonparametric kernel density estimation (Scott, 1992) with Bayesian bandwidth selection (Zhang et al., 2006). The announcement emphasizes that wildlife habitat selection modeling is a rapidly evolving field, so the final set of analytical methods could shift as the study proceeds, depending on what is most appropriate for the data and management needs.
In terms of funding and timing, the opportunity anticipated a single award (Expected Awards: 1) with an estimated total funding amount of $18,400. The posted and creation date was June 2, 2009, with an original and current closing date of June 11, 2009, and an archive date of July 11, 2009. There is no stated cost-sharing or matching requirement. Award floor and ceiling are listed as $0, which typically indicates that the specific negotiated award amount is determined through the proposal and cooperative agreement process rather than being constrained by fixed minimums or maximums in the posting.
Eligibility is restricted to partners within the Rocky Mountain CESU network. CESUs are collaborative partnerships designed to deliver research, technical assistance, and education, so applicants must already be recognized participating members of the Rocky Mountain CESU Program to be eligible for this award. The listed agency contact for access issues or administrative questions is Faith Graves, Contract Specialist, reachable by phone at 703-648-7356.
FAQs: Rocky Mountain CESU (USGS) Grant Opportunity 09HQPA0039
What is this funding opportunity?
This is a U.S. Geological Survey (USGS) discretionary funding opportunity issued through the Cooperative Ecosystem Studies Unit (CESU) program. It is titled as the Cooperative Ecosystem Studies Unit, Rocky Mountain CESU grant opportunity and is identified by Funding Opportunity Number 09HQPA0039.
What type of award will be used?
The award is structured as a cooperative agreement. That means USGS expects to be actively involved with the recipient during the project, rather than providing a stand-alone grant with minimal agency participation.
What is the CFDA number and program area for this opportunity?
The opportunity supports science and technology research and development under CFDA 15.808, USGS Research and Data Collection.
What is the main purpose of the project?
The core purpose is to build a GIS-based, spatially explicit model that estimates the probability of grizzly bear occurrence across the Greater Yellowstone Ecosystem (GYE).
What is the expected primary deliverable?
The expected deliverable is a map-based decision tool that identifies places in the GYE most likely to be used by grizzly bears and ranks habitats by predicted use.
Beyond mapping, what additional insight is the project intended to provide?
The modeling effort is also intended to highlight which habitat characteristics are most strongly associated with bear use, helping managers understand what landscape features are driving grizzly distribution and habitat selection.
What geographic area must the work cover?
The work is intended to cover the entire Greater Yellowstone Ecosystem, not just the national parks.
Which jurisdictions and land types are included in the study area?
The study area includes Yellowstone and Grand Teton National Parks, six surrounding national forests, and additional state and private lands across parts of Wyoming, Montana, and Idaho.
What study design does the announcement describe?
The announcement describes a "use-availability" study design, where observed locations or indicators of grizzly bear use are compared against the conditions available on the landscape.
What data will be used for grizzly bear habitat-use (the "use" part)?
The Northern Rocky Mountain Science Center (NOROCK) is expected to provide bear habitat-use information from its ongoing research and monitoring programs. The announcement gives examples such as telemetry locations or monitoring detections.
What will be used to represent habitat availability (the "availability" part)?
Habitat availability will be characterized using existing GIS layers covering the Greater Yellowstone Ecosystem.
What types of GIS layers are expected to be included?
The GIS layers are expected to represent key theme categories relevant to habitat selection, including vegetation, physiography, and anthropogenic factors.
What are examples of vegetation variables mentioned?
Examples include vegetation cover types or productivity.
What are examples of physiography variables mentioned?
Examples include elevation, slope, aspect, or terrain.
What are examples of anthropogenic variables mentioned?
Examples include roads, development, recreation pressure, or other human-related influences.
Which modeling or analysis methods are specifically mentioned as candidates?
The announcement lists several candidate techniques that may be tested or applied, including logistic discriminant analysis, a parametric weighted distribution approach (Lele and Keim, 2006), and nonparametric kernel density estimation (Scott, 1992) with Bayesian bandwidth selection (Zhang et al., 2006).
What is logistic discriminant analysis proposed to do in this project?
It is described as a method for ranking habitats by probability of use.
What is the parametric weighted distribution approach intended to estimate?
The parametric weighted distribution approach (Lele and Keim, 2006) is described as being aimed at modeling actual probabilities of use.
What is kernel density estimation (with Bayesian bandwidth selection) proposed to do?
The announcement identifies nonparametric kernel density estimation (Scott, 1992) with Bayesian bandwidth selection (Zhang et al., 2006) as another candidate approach to estimate probability of use or rank habitats.
Are applicants locked into the listed analytical methods?
No. The announcement notes that wildlife habitat selection modeling is a rapidly evolving field, and the final set of analytical methods could shift during the study depending on what is most appropriate for the data and management needs.
How many awards are expected?
The opportunity anticipated a single award (Expected Awards: 1).
What is the estimated total funding amount?
The estimated total funding amount is $18,400.
Is cost sharing or matching required?
No cost-sharing or matching requirement is stated in the information provided.
What are the award floor and ceiling amounts?
The award floor and ceiling are both listed as $0, which typically indicates the final award amount is negotiated through the proposal and cooperative agreement process rather than being constrained by fixed minimums or maximums in the posting.
When was the opportunity posted?
The posted and creation date is June 2, 2009.
What was the closing date for applications?
The original and current closing date is June 11, 2009.
When was the opportunity archived?
The archive date is July 11, 2009.
Who is eligible to apply?
Eligibility is restricted to partners within the Rocky Mountain CESU network. Applicants must already be recognized participating members of the Rocky Mountain CESU Program to be eligible.
What is a CESU in the context of this opportunity?
CESUs are collaborative partnerships designed to deliver research, technical assistance, and education. This opportunity is issued through the CESU program and restricts eligibility to Rocky Mountain CESU partners.
Who should be contacted for access issues or administrative questions?
The listed agency contact is Faith Graves, Contract Specialist. Phone: 703-648-7356.
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