Opportunity Information: Apply for G19AS00068

The Cooperative Ecosystem Studies Unit, Rocky Mountain CESU funding opportunity (Funding Opportunity Number G19AS00068) was released by the U.S. Geological Survey (USGS), within the Department of the Interior, as a discretionary award to support science and technology research and development. It is structured as a cooperative agreement rather than a standard grant, which typically signals that USGS expects to have substantial involvement during the project, such as collaborating on technical decisions, data sources, methods, deliverables, and review of products as the work progresses. The opportunity was created on May 28, 2019, with an original closing date of June 11, 2019, indicating a relatively short application window.

The core purpose of the project is to improve understanding and prediction of invasive species distributions, with an emphasis on what are described as priority species. The work is centered on building species distribution models, which are analytical tools used to estimate where species are likely to occur now (and sometimes under future scenarios) based on relationships between known occurrences and environmental or landscape variables. In practice, this kind of modeling can support early detection and rapid response planning, guide surveillance and monitoring, inform risk assessments, and help agencies target limited management resources more effectively by identifying high-likelihood areas for invasion or spread.

A key technical theme in the description is evaluating whether the models need "regionalization" and "iteration." Regionalization generally refers to tailoring models to different geographic areas rather than assuming one model performs equally well everywhere. Invasive species often behave differently across regions because climate, elevation, land use, disturbance regimes, biotic interactions, and sampling intensity can vary widely; a single national or broad-scale model may underperform in places where the drivers of occurrence differ. Iteration points to an adaptive modeling approach where models are updated and refined as new occurrence data, improved environmental layers, or better methodological choices become available. This iterative process can include re-running models after data cleaning, addressing sampling bias, testing alternative predictor sets, comparing algorithm performance, and incorporating feedback from field validation or expert review to steadily improve reliability and usefulness.

The total available funding is up to an award ceiling of $150,000, and USGS anticipated making one award. Because it is offered through the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) network, eligibility is limited to CESU partners, reflected in the listing of eligible applicants as "Others" with clarification in the eligibility text field. CESUs are partnerships among federal agencies, universities, tribal nations, and other organizations intended to facilitate collaborative research, technical assistance, and education, often by streamlining agreements and fostering applied science that meets management needs. The relevant CFDA number listed for this opportunity is 15.808, which corresponds to USGS research and cooperative activities.

In short, this opportunity funded a single CESU partner to conduct applied research aimed at producing and refining species distribution models for priority invasive species, with particular attention to whether modeling approaches should be customized by region and improved through repeated cycles of development and evaluation, all under a cooperative framework with active USGS involvement.

  • The Department of the Interior, U. S. Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Rocky Mountain 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 May 28, 2019.
  • Applicants must submit their applications by Jun 11, 2019. (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 $150,000.00 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).
Apply for G19AS00068

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Frequently Asked Questions (FAQs)

What is the funding opportunity called?

The opportunity is the Cooperative Ecosystem Studies Unit, Rocky Mountain CESU funding opportunity, identified as Funding Opportunity Number G19AS00068.

Which federal agency is offering this opportunity?

The opportunity was released by the U.S. Geological Survey (USGS), which is part of the U.S. Department of the Interior.

Is this a grant or a cooperative agreement?

It is structured as a cooperative agreement rather than a standard grant. This typically means USGS expects to have substantial involvement during the project, such as collaborating on technical decisions, data sources, methods, deliverables, and reviewing products as the work progresses.

What is the main purpose of the project?

The core purpose is to improve understanding and prediction of invasive species distributions, with an emphasis on priority species, by building and refining species distribution models.

What types of activities or work does the project support?

The project supports science and technology research and development focused on producing species distribution models for priority invasive species, including evaluating modeling approaches and improving model performance over time.

What are species distribution models in the context of this opportunity?

Species distribution models are analytical tools used to estimate where species are likely to occur based on relationships between known occurrence records and environmental or landscape variables. The opportunity centers on building these models for invasive species.

How can species distribution models be used by agencies or managers?

As described, these models can support early detection and rapid response planning, guide surveillance and monitoring, inform risk assessments, and help target limited management resources by identifying high-likelihood areas for invasion or spread.

What does "regionalization" mean in the project description?

Regionalization refers to tailoring models to different geographic areas rather than assuming one model performs equally well everywhere. The description notes that invasive species can behave differently across regions due to differences in climate, elevation, land use, disturbance regimes, biotic interactions, and sampling intensity.

Why might a single broad-scale model be insufficient?

The description suggests a single national or broad-scale model may underperform in areas where the drivers of occurrence differ, which is why the project includes evaluating whether regionalized approaches are needed.

What does "iteration" mean for this modeling work?

Iteration refers to an adaptive approach where models are updated and refined as new occurrence data, improved environmental layers, or better methodological choices become available. It can involve re-running models after data cleaning, addressing sampling bias, testing alternative predictor sets, comparing algorithm performance, and incorporating feedback from field validation or expert review.

How much funding is available under this opportunity?

The total available funding is up to an award ceiling of $150,000.

How many awards was USGS expecting to make?

USGS anticipated making one award.

Who is eligible to apply?

Eligibility is limited to CESU partners because the opportunity is offered through the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) network. The eligible applicants category is listed as "Others," with clarification in the eligibility text field indicating CESU partners.

What is the Rocky Mountain CESU and why does it matter for eligibility?

The Rocky Mountain CESU is part of the Cooperative Ecosystem Studies Unit network, which consists of partnerships among federal agencies, universities, tribal nations, and other organizations. These partnerships are intended to facilitate collaborative research, technical assistance, and education, and they often streamline agreements and support applied science aligned with management needs. For this opportunity, being a CESU partner is the basis for eligibility.

When was the opportunity created and what was the application window?

The opportunity was created on May 28, 2019, with an original closing date of June 11, 2019, indicating a relatively short application window.

What is the CFDA number associated with this opportunity?

The CFDA number listed is 15.808, which corresponds to USGS research and cooperative activities.

What level of involvement should applicants expect from USGS during the project?

Because it is a cooperative agreement, the description indicates USGS expects substantial involvement, including collaboration on technical decisions, data sources, methods, deliverables, and ongoing review of products as work progresses.

What makes this opportunity "discretionary"?

The opportunity is described as a discretionary award to support science and technology research and development, meaning it is offered at the agency's discretion rather than as an entitlement or formula-based funding stream.

What kinds of improvements might be made through the iterative modeling approach described?

Examples mentioned include updating models with new occurrence data, using improved environmental layers, cleaning data, addressing sampling bias, testing alternative predictor sets, comparing algorithm performance, and incorporating feedback from field validation or expert review.

What is the overall outcome this project is intended to achieve?

The intended outcome is applied research that produces and refines species distribution models for priority invasive species, with specific attention to whether models should be customized by region and strengthened through repeated cycles of development and evaluation, under active USGS collaboration.

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