Opportunity Information: Apply for P19AS00448
This funding opportunity, titled "Synthesizing information from the Glacier Bay nearshore ecosystem to inform park management" (Funding Opportunity Number P19AS00448), is a National Park Service discretionary grant offered through the U.S. Department of the Interior. It is structured as a cooperative agreement, which typically means the National Park Service expects to be actively involved in shaping the work, coordinating on project direction, and helping ensure the final products directly support management needs rather than functioning as a hands-off research award.
The core purpose of the project is to develop a quantitative statistical model that can pull together and make sense of many different kinds of ecological information collected from the nearshore marine ecosystem in Glacier Bay, Alaska. Nearshore environments are complex and dynamic, and data often come from multiple monitoring efforts, time periods, and measurement approaches. This award is designed to support a synthesis effort that converts that diverse stream of ecological observations into an integrated, decision-ready modeling framework. In practical terms, the model would be used to identify patterns, quantify relationships, and help estimate ecosystem conditions in ways that are more informative than looking at separate datasets in isolation.
A major emphasis of the opportunity is management applicability. The National Park Service intends to use the resulting model and synthesis products to inform annual park management decisions. That includes providing clearer, evidence-based insight into nearshore ecosystem status and trends, and helping managers weigh priorities when making recurring, year-to-year decisions. The opportunity also highlights optimizing future data collection, meaning the model is expected to do more than summarize the past. It should also reveal where monitoring is strong or weak, which measurements are most informative, what gaps exist, and how future sampling could be better targeted to improve confidence in assessments while using limited field resources efficiently.
The expected deliverables include multiple publications and outreach products. Publications suggest peer-reviewed or technical outputs that document the modeling approach, results, and interpretation so the work is transparent and credible. Outreach products point to materials designed for broader communication and practical uptake, such as briefings, summary reports, interpretive content, or management-focused decision support materials that translate the science into usable guidance for park staff and stakeholders.
Eligibility is limited to public and state-controlled institutions of higher education, but the notice is explicitly a notice of intent to award to Colorado State University, and it states that applications will not be accepted from any other entity. In other words, this is not an open competition despite being presented in a standard grant opportunity format. The anticipated number of awards is one, with an award ceiling of $225,000.
Administratively, the opportunity is categorized under Environment, Information and Statistics, and Natural Resources, and it is associated with CFDA number 15.945. The posting was created on July 30, 2019, with an original closing date of August 8, 2019, which aligns with the intent-to-award nature of the announcement rather than a typical open application window. Overall, the opportunity is aimed at producing a rigorous, quantitative synthesis of Glacier Bay nearshore ecological data that directly strengthens how the park makes routine management decisions and plans smarter monitoring efforts going forward.Apply for P19AS00448
- The Department of the Interior, National Park Service in the environment, information and statistics, natural resources sector is offering a public funding opportunity titled "Synthesizing information from the Glacier Bay nearshore ecosystem to inform park management." and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.945.
- This funding opportunity was created on Jul 30, 2019.
- Applicants must submit their applications by Aug 08, 2019 This is a notice of intent to award to Colorado State University. Applications will not be accepted from any other entity.. (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 $225,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Public and State controlled institutions of higher education.
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Frequently Asked Questions (FAQs)
What is the title of this funding opportunity?
The funding opportunity is titled "Synthesizing information from the Glacier Bay nearshore ecosystem to inform park management."
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is P19AS00448.
Which agency is offering this opportunity?
This is a National Park Service (NPS) discretionary grant offered through the U.S. Department of the Interior.
What type of award is this?
This opportunity is structured as a cooperative agreement.
What does it mean that the award is a cooperative agreement?
In this context, a cooperative agreement indicates the National Park Service expects to be actively involved in the project. That typically includes helping shape the work, coordinating on project direction, and ensuring the final products directly support park management needs rather than operating as a hands-off research award.
What is the main purpose of the project?
The project is intended to develop a quantitative statistical model that synthesizes multiple kinds of ecological information from the Glacier Bay nearshore marine ecosystem to create an integrated, decision-ready modeling framework.
What ecosystem and location does the project focus on?
The work focuses on the nearshore marine ecosystem in Glacier Bay, Alaska.
Why is a synthesis model needed for the Glacier Bay nearshore ecosystem?
Nearshore environments are complex and dynamic, and data are often collected through multiple monitoring efforts across different time periods and measurement approaches. The model is intended to integrate these diverse datasets so patterns, relationships, and ecosystem conditions can be assessed more effectively than by reviewing individual datasets in isolation.
What kind of model is expected under this award?
A quantitative statistical model that can combine and interpret varied ecological observations from Glacier Bay's nearshore ecosystem, quantify relationships, and help estimate ecosystem conditions in a way that supports management decisions.
How will the National Park Service use the results?
The National Park Service intends to use the resulting model and synthesis products to inform annual park management decisions, including understanding ecosystem status and trends and supporting recurring year-to-year decision-making.
Is management applicability a required focus?
Yes. A major emphasis of the opportunity is that the outputs must be management-applicable, with the end goal of strengthening annual park decision-making.
How does the project relate to future monitoring and data collection?
Beyond summarizing existing information, the model is expected to help optimize future data collection by identifying where monitoring is strong or weak, which measurements are most informative, where gaps exist, and how future sampling could be better targeted to improve confidence while using limited field resources efficiently.
What deliverables are expected?
The expected deliverables include multiple publications and outreach products.
What is meant by "publications" in the deliverables?
Publications are described as peer-reviewed or technical outputs that document the modeling approach, results, and interpretation so the work is transparent and credible.
What is meant by "outreach products" in the deliverables?
Outreach products refer to materials designed for broader communication and practical uptake, such as briefings, summary reports, interpretive content, or management-focused decision support materials that translate the science into usable guidance for park staff and stakeholders.
Who is eligible to apply for this opportunity?
Eligibility is limited to public and state-controlled institutions of higher education.
Is this an open competition?
No. The notice is explicitly a notice of intent to award to Colorado State University, and it states that applications will not be accepted from any other entity.
Who is the intended recipient of the award?
The announcement states it is a notice of intent to award to Colorado State University.
How many awards does the agency anticipate making?
The anticipated number of awards is one.
What is the maximum funding amount available (award ceiling)?
The award ceiling is $225,000.
What subject areas or categories are associated with this opportunity?
The opportunity is categorized under Environment, Information and Statistics, and Natural Resources.
What is the CFDA number associated with this opportunity?
The opportunity is associated with CFDA number 15.945.
When was this opportunity posted?
The posting was created on July 30, 2019.
What was the original closing date listed for the opportunity?
The original closing date was August 8, 2019.
Why is the listed application window so short?
The dates align with the intent-to-award nature of the announcement, rather than a typical open application window for competitive opportunities.
What is the overall goal of the opportunity in plain terms?
The overall goal is to produce a rigorous, quantitative synthesis of Glacier Bay nearshore ecological data that directly strengthens how the park makes routine management decisions and helps plan smarter monitoring efforts going forward.
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| Satellite-Based Mapping and Modeling of Glacier Dynamics for Alaska; National Park Glacier Status and Trends 2.0 Apply for P20AS00066 Funding Number: P20AS00066 Agency: Department of the Interior, National Park Service Category: Environment, Information and Statistics, Natural Resources Funding Amount: $350,000 |
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