Opportunity Information: Apply for NOIP16AC01050
Apply for NOIP16AC01050
- The Department of the Interior, National Park Service in the natural resources sector is offering a public funding opportunity titled "GLKN Monitoring Dragonflies for Mercury" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.944.
- This funding opportunity was created on Aug 11, 2016.
- Applicants must submit their applications by Aug 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 $210,000.00 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:
GLKN Monitoring Dragonflies for Mercury (Funding Opportunity No. NOIP16AC01050) is a National Park Service (NPS), Department of the Interior opportunity focused on improving how mercury contamination is monitored in Great Lakes Inventory and Monitoring Network (GLKN) parks using larval dragonflies as bioindicators. The project sits in the Natural Resources funding activity area (CFDA 15.944) and is structured as an "Other" type funding instrument/opportunity category, reflecting that it is a cooperative agreement with hands-on federal participation rather than a standard, open-ended research grant. The opportunity was posted August 11, 2016, with an original closing date of August 22, 2016, and anticipated a single award with a maximum value (award ceiling) of $210,000.
The core purpose is technical assistance that helps GLKN make better monitoring decisions by turning existing data into a stronger, defensible monitoring program. The University of Maine (UMaine) is tasked with four main deliverables: first, using previously collected mercury-in-dragonfly datasets to run statistical power analyses under different design scenarios, such as varying the number of sampling sites, how often sampling occurs, and what magnitude of change managers want to be able to detect over time. Second, UMaine will provide recommendations on the overall monitoring design, which typically includes guidance on site selection approaches, sampling frequency, field protocols, and how to balance cost and effort with the ability to detect meaningful trends. Third, UMaine will develop a Quality Assurance Plan (QAP) using a pre-existing template, ensuring consistency, repeatability, and credibility of field and laboratory procedures, including documentation standards, chain-of-custody expectations, and data quality objectives. Fourth, UMaine will recommend data analysis techniques appropriate for long-term trend detection and comparison across parks, which can include approaches for dealing with variability across sites, years, and sampling conditions.
A key feature of this opportunity is that UMaine is presented as uniquely qualified because of its established role in developing national and GLKN-specific procedures for measuring mercury in larval dragonflies. The description emphasizes that UMaine has specialized expertise in identifying larval dragonflies collected in GLKN parks and conducting high-quality laboratory mercury analyses, and that this work is tightly linked to a separate cooperative agreement between UMaine and the NPS Air Resources Division (ARD). Because the tasks under this GLKN agreement are designed to align closely with the ARD agreement (for example, consistent methods, shared laboratory expertise, and continuity of analytical approaches), the notice frames UMaine as the logical and singular recipient to maintain methodological consistency and ensure comparable results over time and across locations.
The NPS role is described as "substantial involvement," which is typical of cooperative agreements where the agency is actively engaged rather than simply providing funds. GLKN will collaborate with UMaine in defining project goals and refining the scope of work, support selection of projects and sites, and provide practical assistance such as orientation to park resources, oversight of assignments, skills training, tool and equipment distribution, technical support, and safety training. GLKN will also provide a Program Coordinator to act as an ongoing liaison, coordinating communications and logistics and working directly with UMaine staff on staffing-related needs such as recruiting, interviewing, and recommending candidates when appropriate. This structure makes the work a partnership, with GLKN helping ensure that the monitoring design and outputs are directly usable for park management and network-wide reporting.
Eligibility is listed broadly as "Others" with clarification in an additional eligibility field, but the narrative makes clear that this is effectively a targeted cooperative agreement intended for UMaine. The justification for this is tied to UMaine's membership in the North Atlantic Coast Cooperative Ecosystem Studies Unit and its Master Cooperative Agreement (P14AC00888), which provides a mechanism for UMaine to perform specific, mission-aligned tasks for NPS. The expected outcome is a monitoring program that is statistically defensible, quality-assured, and analytically consistent, producing mercury data that can be compared within GLKN and across other NPS parks where UMaine is conducting similar work.
Frequently Asked Questions (FAQs)
What is the "GLKN Monitoring Dragonflies for Mercury" funding opportunity?
GLKN Monitoring Dragonflies for Mercury (Funding Opportunity No. NOIP16AC01050) is a National Park Service (NPS), Department of the Interior funding opportunity focused on improving mercury contamination monitoring in Great Lakes Inventory and Monitoring Network (GLKN) parks by using larval dragonflies as bioindicators.
Which agency is offering this opportunity?
The opportunity is offered by the National Park Service (NPS) within the U.S. Department of the Interior.
What is the main goal of the project?
The main goal is to strengthen and improve GLKN's mercury monitoring program by using existing mercury-in-dragonfly data to support statistically defensible monitoring decisions, consistent procedures, and long-term trend detection that can be used for park management and network-wide reporting.
What is being monitored, and why use larval dragonflies?
The project focuses on monitoring mercury contamination using larval dragonflies as bioindicators. The opportunity describes larval dragonflies as the biological measure used to assess mercury in GLKN parks and emphasizes established procedures for measuring mercury in these larvae.
What is the funding activity area and CFDA number for this opportunity?
The funding activity area is Natural Resources, and the CFDA number listed is 15.944.
What type of funding instrument is this?
This opportunity is described as an "Other" type funding instrument/opportunity category and is structured as a cooperative agreement with substantial federal involvement, rather than a standard, open-ended research grant.
What does "substantial federal involvement" mean in this context?
It means NPS (through GLKN) will be actively engaged in the work. The description indicates GLKN will collaborate with the recipient to define goals and refine scope, assist with selecting projects and sites, provide orientation to park resources, offer oversight and technical support, facilitate skills and safety training, distribute tools and equipment, and provide a Program Coordinator to coordinate communications, logistics, and certain staffing-related needs.
When was the opportunity posted and when did it close?
The opportunity was posted on August 11, 2016, and the original closing date was August 22, 2016.
How many awards were anticipated?
The notice anticipated a single award.
What is the maximum award amount?
The award ceiling (maximum value) is $210,000.
Who is expected to carry out the work under this cooperative agreement?
The University of Maine (UMaine) is identified as the entity tasked with carrying out the main technical deliverables, and the notice frames UMaine as uniquely qualified and the logical recipient to maintain methodological continuity and consistency.
Is this an open competition for any eligible applicant?
Although eligibility is listed broadly as "Others" with clarification in an additional eligibility field, the narrative describes the opportunity as effectively a targeted cooperative agreement intended for UMaine due to its established role, specialized expertise, and existing cooperative mechanisms with NPS.
Why does the notice describe UMaine as uniquely qualified?
The notice emphasizes UMaine's established role in developing national and GLKN-specific procedures for measuring mercury in larval dragonflies, its specialized expertise in identifying larval dragonflies collected in GLKN parks, and its ability to conduct high-quality laboratory mercury analyses. It also notes close alignment with a separate cooperative agreement between UMaine and the NPS Air Resources Division (ARD), supporting continuity and comparability of methods and results.
What are the main deliverables UMaine is expected to produce?
The opportunity describes four main deliverables:
- Statistical power analyses using previously collected mercury-in-dragonfly datasets under different monitoring design scenarios (for example, changing the number of sampling sites, sampling frequency, and the size of change managers want to detect over time).
- Recommendations on the overall monitoring design, including guidance on site selection approaches, sampling frequency, field protocols, and balancing cost/effort with the ability to detect meaningful trends.
- Development of a Quality Assurance Plan (QAP) using a pre-existing template to ensure consistent, repeatable, and credible field and laboratory procedures (including documentation standards, chain-of-custody expectations, and data quality objectives).
- Recommendations on data analysis techniques for long-term trend detection and comparison across parks, including ways to address variability across sites, years, and sampling conditions.
What does the statistical power analysis work involve?
UMaine is expected to use existing mercury-in-dragonfly datasets to evaluate how well different monitoring designs can detect changes over time. The scenarios described include varying the number of sampling sites, how often sampling occurs, and the magnitude of change that managers want the program to be able to detect.
What kinds of monitoring design recommendations are expected?
The notice indicates recommendations will typically cover how sites should be selected, how frequently sampling should occur, what field protocols should be used, and how to balance monitoring costs and field effort with statistical ability to detect meaningful trends.
What is a Quality Assurance Plan (QAP) in this project?
In this opportunity, the QAP is a plan developed from a pre-existing template to support consistency, repeatability, and credibility in field and laboratory procedures. The notice highlights elements such as documentation standards, chain-of-custody expectations, and data quality objectives.
What kinds of data analysis recommendations are expected?
UMaine is expected to recommend analytical methods that support long-term trend detection and allow comparisons across parks. The notice specifically mentions addressing variability across sites, years, and sampling conditions.
How will GLKN participate in the project?
GLKN is described as having an active, hands-on role. Responsibilities include collaborating on goals and scope, supporting site/project selection, providing orientation and logistical assistance, offering oversight and technical support, facilitating training (including safety training), distributing tools and equipment, and assigning a Program Coordinator to serve as a liaison and coordinate communications and logistics.
What is the role of the GLKN Program Coordinator?
The Program Coordinator is described as an ongoing liaison who coordinates communications and logistics and works directly with UMaine staff on staffing-related needs such as recruiting, interviewing, and recommending candidates when appropriate.
How does this opportunity relate to the NPS Air Resources Division (ARD)?
The notice states the GLKN agreement is designed to align closely with a separate cooperative agreement between UMaine and the NPS Air Resources Division (ARD). This alignment is intended to support consistent methods, shared laboratory expertise, and continuity of analytical approaches so results remain comparable over time and across locations.
What is the intended outcome for GLKN parks?
The intended outcome is a mercury monitoring program that is statistically defensible, quality-assured, and analytically consistent, producing mercury data that can be compared within GLKN and across other NPS parks where UMaine is conducting similar work.
Why is methodological consistency emphasized?
The notice emphasizes that consistent procedures and continuity of analytical approaches help ensure results are comparable over time and across locations, supporting defensible long-term monitoring and network-wide comparisons.
What cooperative mechanism is cited to support UMaine's participation?
The notice ties the justification to UMaine's membership in the North Atlantic Coast Cooperative Ecosystem Studies Unit and its Master Cooperative Agreement (P14AC00888), which is described as providing a mechanism for UMaine to perform specific, mission-aligned tasks for NPS.
What does the award "ceiling" mean here?
The award ceiling is the maximum value of the award. For this opportunity, the maximum value listed is $210,000.
Is this opportunity focused on generating new field data or improving how monitoring is done?
The core purpose is described as technical assistance to help GLKN make better monitoring decisions by turning existing data into a stronger, defensible monitoring program, including power analyses, monitoring design recommendations, quality assurance planning, and recommended analysis techniques for long-term trends.
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