Opportunity Information: Apply for G16AS00052
Apply for G16AS00052
- The DOI-USGS1 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.
- This funding opportunity was created on Apr 07, 2016 and posted on Apr 07, 2016.
- Applicants must submit their applications by Apr 22, 2016. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $40,998.00 in funding.
- 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).
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Opportunity Summary:
The Cooperative Ecosystem Studies Unit, Rocky Mountain CESU funding opportunity (Funding Opportunity Number G16AS00052) is a US Department of the Interior, U.S. Geological Survey (USGS) discretionary research award administered through the Northern Rocky Mountain Science Center (NOROCK). It is offered as a cooperative agreement, which typically means the selected recipient will conduct the work with substantial involvement from USGS staff, such as coordination on study design, data interpretation, and integration of results into management-relevant products. The opportunity sits in the Science and Technology and other Research and Development category (CFDA 15.808) and was posted on April 7, 2016 with an application deadline of April 22, 2016.
The core purpose of the project is to use already-collected genetic samples from desert bighorn sheep in Grand Canyon National Park (GRCA) to support more reliable population monitoring. Rather than funding new field collection, the grant focuses on analyzing existing samples to identify individual animals genetically. Once individuals are identified from genotypes, those identifications can be used in spatial capture-recapture (SCR) modeling, a statistical approach that estimates abundance and trends by combining capture histories (in this case, genetic detections of individuals) with the spatial locations where samples were obtained. In practical terms, the project aims to turn archived genetic material into a dataset that can support defensible estimates of how many bighorn sheep are present and how that number is changing over time.
A second major objective is to update recent estimates of genetic structure within the Grand Canyon desert bighorn sheep population. Genetic structure refers to how genetic variation is partitioned across the landscape, often reflecting subpopulations, barriers to movement, or patterns of connectivity and gene flow. Understanding whether the population is relatively well-mixed or subdivided matters for SCR because population structure can influence assumptions about movement, detection, and the definition of the population being estimated. By revisiting and updating genetic structure using the existing samples, the project is intended to inform the analytical strategy for spatial capture-recapture, helping ensure that the abundance and trend estimates are based on an appropriate model and population framework.
The award information indicates an expected single award with an award ceiling of $40,998. Eligibility is broadly listed as "Others" with further clarification expected in the full eligibility text for the Rocky Mountain CESU opportunity, which commonly includes CESU partner institutions and may include universities, non-profits, and other qualified research entities depending on the specific announcement language. Overall, the opportunity is a targeted, relatively small research grant designed to improve the scientific basis for monitoring and managing Grand Canyon desert bighorn sheep by leveraging existing genetic resources to produce individual IDs, refine population structure understanding, and strengthen SCR-based abundance and trend estimation.
Frequently Asked Questions (FAQs)
What is the name of this funding opportunity?
This opportunity is the Cooperative Ecosystem Studies Unit, Rocky Mountain CESU funding opportunity.
What is the Funding Opportunity Number?
The Funding Opportunity Number is G16AS00052.
Which federal agency is offering the award?
The award is a U.S. Department of the Interior, U.S. Geological Survey (USGS) discretionary research award.
Who administers the opportunity within USGS?
It is administered through the Northern Rocky Mountain Science Center (NOROCK).
What type of award is being offered?
The opportunity is offered as a cooperative agreement.
What does "cooperative agreement" mean for this project?
This typically means the selected recipient will conduct the work with substantial involvement from USGS staff. Examples noted include coordination on study design, data interpretation, and integrating results into management-relevant products.
What category does this opportunity fall under?
It falls in the Science and Technology and other Research and Development category.
What is the CFDA number listed for this opportunity?
The CFDA number provided is 15.808.
When was the opportunity posted?
The posting date was April 7, 2016.
What was the application deadline?
The application deadline was April 22, 2016.
How many awards are expected to be made?
The award information indicates an expected single award.
What is the maximum award amount (award ceiling)?
The award ceiling is $40,998.
What is the main purpose of the project?
The core purpose is to use already-collected genetic samples from desert bighorn sheep in Grand Canyon National Park (GRCA) to support more reliable population monitoring.
Does the project fund new field sampling or new sample collection?
No. The description emphasizes analyzing existing (already-collected and archived) genetic samples rather than funding new field collection.
What will be done with the existing genetic samples?
The project focuses on analyzing the archived samples to identify individual animals genetically (using genotypes to produce individual IDs).
How are genetically identified individuals used for population monitoring?
Once individuals are identified from genotypes, those identifications can be used in spatial capture-recapture (SCR) modeling to estimate abundance and trends.
What is spatial capture-recapture (SCR) modeling in the context of this project?
SCR is described as a statistical approach that estimates abundance and trends by combining capture histories (here, genetic detections of individuals) with the spatial locations where samples were obtained.
What is the practical outcome the project is aiming for?
The project aims to turn archived genetic material into a dataset that supports defensible estimates of how many desert bighorn sheep are present and how that number is changing over time.
What is the second major objective of the project?
A second major objective is to update recent estimates of genetic structure within the Grand Canyon desert bighorn sheep population.
What does "genetic structure" mean in this opportunity description?
Genetic structure refers to how genetic variation is partitioned across the landscape, which can reflect subpopulations, barriers to movement, or patterns of connectivity and gene flow.
Why does genetic structure matter for spatial capture-recapture (SCR) work?
The description notes that population structure can influence assumptions about movement, detection, and the definition of the population being estimated, so understanding structure helps inform the SCR analytical strategy and model framework.
How does updating genetic structure support the SCR analysis?
By revisiting and updating genetic structure using existing samples, the project is intended to inform the analytical strategy for SCR, helping ensure abundance and trend estimates are based on an appropriate model and population framework.
Where is the study population located?
The genetic samples are from desert bighorn sheep in Grand Canyon National Park (GRCA).
What is listed for eligibility?
Eligibility is broadly listed as "Others."
Are there details about who qualifies under "Others"?
Further clarification is expected in the full eligibility text for the Rocky Mountain CESU opportunity. The description notes that Rocky Mountain CESU opportunities commonly include CESU partner institutions and may include universities, non-profits, and other qualified research entities depending on the specific announcement language.
Is this a large, multi-site research program or a targeted project?
It is described as a targeted, relatively small research grant designed to improve the scientific basis for monitoring and managing Grand Canyon desert bighorn sheep by leveraging existing genetic resources.
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