Opportunity Information: Apply for P17AS00232
The grant opportunity titled "Statistical Methodological Development for Long-Term Vegetation Monitoring" (Funding Opportunity Number P17AS00232) is a National Park Service notice that it intends to make a single, non-competitive award to support work in natural resources monitoring, specifically focused on improving statistical methods used in long-term vegetation monitoring. It is issued by the U.S. Department of the Interior, National Park Service, and is categorized as a discretionary funding action using a cooperative agreement as the funding instrument, which typically means NPS expects to have substantial involvement in the project through collaboration, technical input, coordination, or shared decision-making as the work progresses.
This announcement is explicitly not a request for applications, meaning it is not an open competition and the public should not interpret it as an invitation to apply. Instead, it functions as a public transparency notice that NPS plans to fund identified project activities without competition, usually because the agency has determined that a specific partner or recipient is uniquely qualified, the work is a continuation of an existing effort, or there is another allowable justification for limiting competition under applicable federal assistance policies. The eligibility field lists "Others" with a reference to additional eligibility details, but because the action is non-competitive and anticipates only one award, eligibility is largely informational rather than an indication that multiple applicants will be considered.
The opportunity falls under the Natural Resources funding activity category and is associated with CFDA number 15.945, which corresponds to National Park Service assistance programs. The financial scope is modest and targeted, with an award ceiling of $65,213 and an expected number of awards of one. The posting indicates a creation date of May 8, 2017, with an original closing date of May 18, 2017; in the context of non-competitive notices, this window generally reflects the public notice period rather than a standard application deadline.
In practical terms, the project described by the title points to developing or refining statistical methodology that supports long-term tracking of vegetation conditions in park units. Long-term vegetation monitoring commonly involves repeated measurements across time and space, and agencies like NPS rely on robust statistical designs and analysis approaches to detect trends, quantify uncertainty, handle missing or unevenly spaced data, distinguish natural variability from meaningful change, and ensure monitoring results are defensible for management decisions. Although the public notice does not provide technical task details, the title suggests the funded work would likely strengthen the analytical foundation of vegetation monitoring programs, potentially improving how NPS summarizes vegetation change, evaluates monitoring protocols, and reports ecological status and trends over time.
Overall, this is a small, single-award cooperative agreement intended to support methodological development in statistical approaches for long-term vegetation monitoring, announced for public notice purposes rather than competitive solicitation.Apply for P17AS00232
- The Department of the Interior, National Park Service in the natural resources sector is offering a public funding opportunity titled "Statistical Methodological Development for Long-Term Vegetation Monitoring" 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 May 08, 2017.
- Applicants must submit their applications by May 18, 2017. (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 $65,213.00 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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