Opportunity Information: Apply for G23AS00349

The US Geological Survey (USGS) is soliciting proposals for a discretionary financial assistance award under the Cooperative Ecosystem Studies Unit (CESU) Program, specifically through the South Atlantic Coast CESU. The opportunity is offered as a cooperative agreement, which typically means USGS expects to be substantially involved in the work as it is carried out (for example, through collaboration on study design, data interpretation, or coordination with Department of the Interior partners). The overall purpose is to support research that helps DOI management agencies build a practical, science-based monitoring framework that uses Motus wildlife tracking data, with an emphasis on birds that have been fitted with Motus tags.

At the core of the project are two technical objectives that are closely related. First, the awardee is expected to develop a statistical analysis framework tailored to individual-based encounter data generated by Motus-tagged birds. Motus data often come in the form of detections (or non-detections) as tagged individuals move through landscapes and are recorded by receiver stations. Because these detections reflect both animal movement and the structure of the receiver network, the statistical approach needs to handle issues like uneven detection probability across space, repeated encounters of the same individual, and the fact that the data are not simple counts but are tied to where and when receivers detect tagged animals. The aim is to create an analysis structure that DOI resource managers can use to interpret Motus encounter data reliably for monitoring, decision-making, and assessment of conservation actions.

Second, the project is intended to produce a generalizable framework for evaluating trade-offs in spatial sampling design. In practical terms, this means helping agencies think through questions such as where to place receivers, how dense a network needs to be, what coverage is gained or lost by shifting stations, and how different network designs affect what can be inferred about bird movements, habitat use, or passage through management units. A strong outcome would be guidance or tools that allow managers to compare alternative monitoring designs under realistic constraints like budget, logistics, and uneven access, while still preserving the ability to detect meaningful ecological patterns or management-relevant changes over time. The word "generalizable" signals that USGS is looking for methods or decision-support approaches that are not limited to a single refuge or species, but can be adapted to multiple settings where Motus data are used.

Eligibility is narrow and is restricted to organizations that are already official partners in the USGS South Atlantic Coast CESU Program. CESUs are partnership networks intended to connect federal agencies with universities, nonprofits, and other research and education entities to deliver applied science, technical assistance, and training. Because this award is issued under CESU authorities, applicants outside that specific CESU partnership are not eligible, even if they have relevant expertise. The listing identifies the eligible applicant category as "Others," but the controlling requirement is active participation as a South Atlantic Coast CESU partner.

Administratively, the opportunity is identified as Funding Opportunity Number G23AS00349 under CFDA (now often referred to as Assistance Listing) 15.808, and it falls under the activity category of Science and Technology and other Research and Development. The award ceiling is $68,000, indicating the maximum federal funding anticipated for a single award. The posting lists an original closing date of May 24, 2023, and a creation date of April 24, 2023. The number of expected awards is not specified in the provided text, but the structure and ceiling suggest a targeted, relatively small research effort focused on producing methodological and planning deliverables that DOI partners can use.

In summary, this grant opportunity supports a CESU-affiliated partner to collaborate with USGS and DOI management agencies on turning Motus bird-tracking detections into a usable monitoring framework. The work emphasizes rigorous statistical treatment of individual encounter data and the development of broadly applicable guidance for optimizing receiver network design, so that monitoring programs can make defensible choices about spatial sampling while improving the interpretability and management value of Motus-based data.

  • The Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Agreement for CESU-affiliated Partner with South Atlantic Coast Cooperative Ecosystem Studies Unit (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 2023-04-24.
  • Applicants must submit their applications by 2023-05-24. (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 $68,000.00 in funding.
  • Eligible applicants include: Others.
Apply for G23AS00349

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Frequently Asked Questions (FAQs)

What agency is offering this funding opportunity?

This opportunity is offered by the U.S. Geological Survey (USGS).

What program is this opportunity associated with?

The award is being solicited under the Cooperative Ecosystem Studies Unit (CESU) Program, specifically through the South Atlantic Coast CESU.

What type of award is being offered (grant, contract, or cooperative agreement)?

The opportunity is offered as a cooperative agreement. This generally means USGS expects to be substantially involved in the work while it is being carried out, such as collaborating on study design, interpreting data, and coordinating with Department of the Interior (DOI) partners.

What is the main purpose of the project?

The purpose is to support research that helps DOI management agencies build a practical, science-based monitoring framework that uses Motus wildlife tracking data, with an emphasis on birds fitted with Motus tags.

What are the core technical objectives of the work?

There are two closely related technical objectives:

  • Develop a statistical analysis framework tailored to individual-based encounter data generated by Motus-tagged birds.
  • Produce a generalizable framework for evaluating trade-offs in spatial sampling design (for example, receiver placement and network density decisions).

What kind of data is the project focused on?

The project focuses on Motus wildlife tracking detections (and non-detections) for birds fitted with Motus tags. These data are individual-based encounters recorded as tagged birds move through landscapes and are detected by receiver stations.

Why does Motus encounter data require a specialized statistical framework?

Motus detections reflect both animal movement and the structure of the receiver network, so the analysis needs to address issues such as uneven detection probability across space, repeated encounters of the same individual, and the fact that the data are tied to where and when receivers detect tagged animals rather than being simple count data.

What is the intended end use of the statistical analysis framework?

The aim is to provide an analysis structure that DOI resource managers can use to interpret Motus encounter data reliably for monitoring, decision-making, and assessing conservation actions.

What does "spatial sampling design trade-offs" mean in this opportunity?

It refers to evaluating practical choices in how a receiver network is designed and deployed, such as where to place receivers, how dense the network needs to be, what coverage changes when stations are moved, and how alternative designs affect what can be inferred about bird movement, habitat use, or passage through management units.

What does it mean that the sampling design framework should be "generalizable"?

It means USGS is looking for methods or decision-support approaches that are not limited to a single refuge or a single species, but can be adapted across multiple settings where Motus data are used.

Who is eligible to apply?

Eligibility is restricted to organizations that are official partners in the USGS South Atlantic Coast CESU Program. Applicants that are not part of that specific CESU partnership are not eligible, even if they have relevant expertise.

The listing says the eligible applicant category is "Others." Does that mean any organization can apply?

No. While the listing identifies the eligible applicant category as "Others," the controlling requirement stated is that applicants must be active partners in the USGS South Atlantic Coast CESU.

What is the Funding Opportunity Number for this solicitation?

The Funding Opportunity Number is G23AS00349.

What is the Assistance Listing (CFDA) number for this opportunity?

The opportunity is listed under CFDA (now commonly referred to as Assistance Listing) 15.808.

What activity category does this funding fall under?

The activity category is Science and Technology and other Research and Development.

What is the maximum federal funding available?

The award ceiling is $68,000, which indicates the maximum anticipated federal funding for a single award.

How many awards does USGS expect to make?

The number of expected awards is not specified in the information provided.

When was the opportunity posted and when was it due?

The creation date is April 24, 2023, and the original closing date is May 24, 2023.

How does USGS expect to be involved during the project?

Because this is a cooperative agreement, USGS anticipates substantial involvement during performance. Examples given include collaboration on study design, data interpretation, and coordination with DOI partners.

What kinds of deliverables are implied by the opportunity description?

Based on the description, deliverables are expected to be methodological and planning-oriented outputs that DOI partners can use, such as a statistical analysis framework for Motus encounter data and broadly applicable guidance or tools to compare alternative receiver network designs under realistic constraints.

Is the work limited to one refuge, unit, or species?

The description emphasizes generalizable approaches, indicating the work should be adaptable beyond a single refuge or species, across multiple settings where Motus data are used.

What conservation and management questions is this project meant to support?

The work is intended to improve the interpretability and management value of Motus-based data for monitoring and decision-making, including assessing conservation actions and detecting management-relevant changes over time through a defensible monitoring framework.

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