Opportunity Information: Apply for NPS NOI 14 ARO 45357

  • The National Park Service in the natural resources sector is offering a public funding opportunity titled "Evaluation of coastal grizzly population and harvest monitoring methodologies" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.945 Cooperative Research and Training Programs Resources of the National Park System.
  • This funding opportunity was created on May 5, 2014 and posted on May 5, 2014.
  • Applicants must submit their applications by May 6, 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 $155,000.00 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 funding announcement is not a request for applications. This is a single source award to Mississippi State University.
Apply for NPS NOI 14 ARO 45357

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Opportunity Summary:

The National Park Service posted a Notice of Intent to make a single, non-competitive cooperative agreement award for a project titled "Evaluation of coastal grizzly population and harvest monitoring methodologies." This notice is not a call for applications; it signals the agency's plan to issue a task agreement under the Gulf Coast Cooperative Ecosystem Studies Unit (CESU) Master Cooperative Agreement (P12AC51051), using the Department of the Interior authority described in 505 Departmental Manual 2.12C. The intended recipient is Mississippi State University, and the project sits within the natural resources category, specifically supporting research and training tied to National Park System resource management.

The project is designed to strengthen how coastal brown bear (often referred to as coastal grizzly in some contexts) populations and harvest are evaluated and tracked, with an emphasis on practical decision support for wildlife managers. A central goal is to clarify what factors most likely drive changes in bear populations and then translate those influences into a conceptual population model. In practice, this means identifying the key ecological and human-related pressures that could affect population size and structure, then organizing those relationships into a model framework that managers can use to think through cause-and-effect links.

Alongside that conceptual modeling work, the project will inventory and describe the monitoring metrics already in use for bear populations and for harvest monitoring. These metrics might include indices or measures commonly used by agencies to infer population trends, estimate abundance, track demographic changes, or evaluate the effects of harvest regulations. After identifying those existing tools, the work will move into a structured evaluation phase that uses hypothetical but realistic datasets. These datasets will be constructed to represent a range of scenarios based on the influential factors identified earlier, allowing the researchers to test how well different monitoring approaches perform under different conditions that managers might realistically face.

The evaluation criteria are explicitly management-oriented: the project will assess whether each metric can detect meaningful change, how quickly it can detect that change, and how prone it is to errors like false positives (detecting a change when none exists) or false negatives (missing a real change). It will also weigh the practical burden of each approach, including the expected cost and effort required to implement it. The intent is to move beyond simply listing monitoring options and instead provide a quantitative comparison of tradeoffs, so agencies can select monitoring strategies that best match their goals, risk tolerance, budgets, and operational constraints.

This effort is positioned to feed directly into an ongoing structured decision-making process within the agency context. In other words, the work is not just academic; it is meant to provide defensible analysis that helps decision-makers choose monitoring systems and harvest-related indicators that align with agency-specific concerns and management objectives. The funding opportunity lists an estimated total funding amount of $155,000, with one expected award and no cost-sharing or matching requirement. It was posted on May 5, 2014, with an original and current closing date of May 6, 2014, and it was archived June 5, 2014, reflecting its role as a single-source notice rather than a competitive solicitation.

Administrative details include the funding opportunity number (NPS NOI 14 ARO 45357), the assistance listing references (CFDA 15.945, Cooperative Research and Training Programs, Resources of the National Park System), and the instrument type (cooperative agreement). For access issues related to the full announcement, the listed contact is Rose McClelland, Contracting Specialist at the National Park Service, reachable by phone at 504-589-3882 or by email at rosemcclellans@nps.gov.

Frequently Asked Questions (FAQs)

1) What is this government grant notice?

This is a National Park Service (NPS) Notice of Intent (NOI) to make a single, non-competitive cooperative agreement award for a project titled "Evaluation of coastal grizzly population and harvest monitoring methodologies."

2) Is this a call for applications or proposals?

No. The notice is not a call for applications. It signals the agency's plan to issue a task agreement rather than run a competitive application process.

3) What type of award is planned?

The planned instrument type is a cooperative agreement.

4) How many awards does the agency expect to make?

The opportunity states there is one expected award.

5) What is the estimated total funding amount?

The estimated total funding amount listed is $155,000.

6) Is cost sharing or a match required?

No. The notice states there is no cost-sharing or matching requirement.

7) Who is the intended recipient?

The intended recipient identified in the notice is Mississippi State University.

8) Why is the award described as non-competitive?

Based on the notice, NPS is announcing its intent to make a single-source award under existing authority and an existing cooperative agreement framework, rather than soliciting multiple applications.

9) What agreement framework will be used to make the award?

The notice indicates the agency plans to issue a task agreement under the Gulf Coast Cooperative Ecosystem Studies Unit (CESU) Master Cooperative Agreement (P12AC51051).

10) What authority is cited for this approach?

The notice references Department of the Interior authority described in 505 Departmental Manual 2.12C.

11) What is the project category or area of work?

The project sits within the natural resources category and supports research and training tied to National Park System resource management.

12) What species/population is the project focused on?

The work focuses on coastal brown bear populations, noting that the term "coastal grizzly" is used in some contexts.

13) What is the main purpose of the project?

The project is designed to strengthen how coastal bear populations and harvest are evaluated and tracked, with an emphasis on practical decision support for wildlife managers.

14) What does the project mean by identifying "drivers" of population change?

The project aims to clarify which factors are most likely to drive changes in bear populations, including ecological and human-related pressures that could affect population size and structure.

15) What is a "conceptual population model" in this context?

In this notice, a conceptual population model refers to a structured way of organizing cause-and-effect relationships between influential factors and population outcomes, so managers can use it to think through how different pressures may affect the population.

16) What are "monitoring metrics" and what will the project do with them?

Monitoring metrics are the indices or measures agencies use to infer population trends, estimate abundance, track demographic changes, or evaluate harvest effects. The project will inventory and describe metrics already in use for both population monitoring and harvest monitoring.

17) Will the project create new field datasets?

The notice describes a structured evaluation phase that uses hypothetical but realistic datasets constructed to represent a range of scenarios. It does not state that new field datasets will be collected as part of this evaluation.

18) Why use hypothetical but realistic datasets?

The notice indicates these datasets will be built to reflect scenarios based on the influential factors identified earlier, allowing researchers to test how well different monitoring approaches perform under different conditions managers might realistically face.

19) How will monitoring approaches be evaluated?

The evaluation is management-oriented and will assess whether each metric can detect meaningful change, how quickly it can detect change, and how prone it is to errors such as false positives or false negatives.

20) What kinds of errors are considered in the evaluation?

The notice explicitly mentions false positives (detecting a change when none exists) and false negatives (missing a real change).

21) Will costs and workload be considered when comparing monitoring options?

Yes. The notice states the project will weigh practical burden, including expected cost and effort required to implement each monitoring approach.

22) What is the intended output for managers?

The project intends to provide a quantitative comparison of tradeoffs among monitoring strategies so agencies can choose approaches that fit their goals, risk tolerance, budgets, and operational constraints.

23) How will the project support decision-making within the agency?

The notice states the effort is positioned to feed directly into an ongoing structured decision-making process, providing defensible analysis to help decision-makers choose monitoring systems and harvest-related indicators aligned with management objectives.

24) What is the funding opportunity number?

The funding opportunity number listed is NPS NOI 14 ARO 45357.

25) What assistance listing (CFDA) is associated with this notice?

The notice references CFDA 15.945, "Cooperative Research and Training Programs, Resources of the National Park System."

26) When was this notice posted?

The notice was posted on May 5, 2014.

27) What were the original and current closing dates?

Both the original and current closing date listed are May 6, 2014.

28) Why does it show such a short window between posting and closing?

The notice is described as a single-source, non-competitive intent notice rather than a competitive solicitation, which aligns with the short posting-to-closing timeframe shown.

29) What does it mean that the notice was archived?

The notice was archived on June 5, 2014. In context, this reflects its role as a time-bound notice of intent rather than an open, competitive funding opportunity.

30) Who can be contacted for access issues related to the full announcement?

The listed contact is Rose McClelland, Contracting Specialist at the National Park Service.

31) What are the contact details provided?

Phone: 504-589-3882. Email: rosemcclellans@nps.gov.

32) Where does this project fit in relation to National Park System management?

The notice describes the work as supporting National Park System resource management by improving evaluation and monitoring methodologies that inform wildlife and harvest-related management decisions.

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