Opportunity Information: Apply for G18AS00046
Apply for G18AS00046
- 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 29, 2018.
- Applicants must submit their applications by Jun 12, 2018. (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 $49,521.00 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:
The Cooperative Ecosystem Studies Unit, Rocky Mountain CESU opportunity (Funding Opportunity Number G18AS00046) is a U.S. Geological Survey (USGS) discretionary funding announcement under the Department of the Interior. It is set up as a cooperative agreement, meaning the award is intended to support a research partnership where USGS may be substantially involved during the project period (for example, through collaboration on methods, data, review, or project direction). The program area is categorized as Science and Technology and other Research and Development, and it is associated with CFDA number 15.808.
The purpose of the award is focused and research-driven: improving methods used to build invasive species distribution models (often referred to as SDMs). In practical terms, SDMs are tools that estimate where a species is likely to occur, based on known observations and environmental or geographic predictors. For invasive species, these models are frequently used to anticipate spread, prioritize surveillance and early detection, guide control actions, and support risk assessments. The USGS is looking for a CESU partner to conduct work that advances how these models are built, validated, and made useful at management scales.
The announcement highlights two main goals. First, it emphasizes leveraging existing large-scale databases to produce invasive species models that are directly useful to managers within Department of the Interior partner agencies. This implies an applied orientation: the research should not only improve modeling methodology in theory, but also translate into products or approaches that can be operationalized by agencies that need actionable information for decision-making. The mention of large-scale databases suggests an interest in making effective use of already-available, broad-coverage data sources (such as compiled occurrence records and other regional or national datasets) rather than relying solely on new, small-area data collection.
Second, the opportunity aims to connect the principles used to create highly credible SDMs for key invasive species with broader, large-scale biodiversity mapping efforts. In other words, USGS is interested in ensuring that the rigor and best practices used in high-quality invasive species modeling can inform, and align with, broader initiatives that map biodiversity patterns across landscapes. This indicates attention to credibility and transferability: methods that work well for important invasive species should be framed in a way that scales, integrates with, or strengthens large-area biodiversity assessments.
From an administrative standpoint, the opportunity was created on May 29, 2018, with an original closing date of June 12, 2018, indicating a short application window typical of targeted CESU competitions. The anticipated funding level is modest and specific: one expected award with an award ceiling of $49,521. Eligibility is limited to entities that qualify as CESU partners, with the listing indicating "Others" and directing applicants to consult the additional eligibility information in the full announcement for clarification. Overall, this is a single-award, CESU-partner research effort aimed at producing improved invasive species distribution modeling approaches that are both scientifically credible and practically usable across DOI management contexts, while also supporting the broader goal of large-scale biodiversity mapping.
Frequently Asked Questions (FAQ)
What is the name of this funding opportunity?
This opportunity is the Cooperative Ecosystem Studies Unit (CESU), Rocky Mountain CESU opportunity under Funding Opportunity Number (FON) G18AS00046.
Which federal agency is offering this opportunity?
The funding announcement is from the U.S. Geological Survey (USGS) under the U.S. Department of the Interior (DOI).
Is this a grant or a cooperative agreement?
It is set up as a cooperative agreement. This means the award is intended to support a research partnership where USGS may be substantially involved during the project period (for example, collaborating on methods, data, review, or overall project direction).
What program area does this opportunity fall under?
The opportunity is categorized under Science and Technology and other Research and Development.
What is the CFDA number associated with this opportunity?
The opportunity is associated with CFDA number 15.808.
What is the main purpose of the award?
The purpose is to improve methods used to build invasive species distribution models (SDMs). The work is research-driven and focused on advancing how these models are built, validated, and made useful at management scales.
What are species distribution models (SDMs) in this context?
SDMs are tools that estimate where a species is likely to occur, based on known observations and environmental or geographic predictors.
Why are SDMs important for invasive species management?
For invasive species, SDMs are used to anticipate spread, prioritize surveillance and early detection, guide control actions, and support risk assessments.
What are the two main goals emphasized in the announcement?
The announcement highlights two main goals: (1) leveraging existing large-scale databases to produce invasive species models that are directly useful to managers within DOI partner agencies, and (2) connecting principles used to create highly credible SDMs for key invasive species with broader, large-scale biodiversity mapping efforts.
What does it mean to "leverage existing large-scale databases"?
It indicates an interest in making effective use of already-available, broad-coverage data sources (such as compiled occurrence records and other regional or national datasets), rather than relying only on new, small-area data collection.
What does "directly useful to managers" imply about expected outputs?
It implies an applied orientation: the research should translate into products or approaches that can be operationalized by DOI partner agencies for actionable decision-making, not just methodological improvements in theory.
What does "credible SDMs" mean in the context of this opportunity?
It signals that USGS is focused on rigor and best practices in model creation and validation, aiming for approaches that are defensible and reliable for management use.
How does this opportunity relate to biodiversity mapping?
USGS is interested in connecting best practices from high-quality invasive species SDMs to broader, large-scale biodiversity mapping efforts, so that strong invasive-species modeling principles can inform and align with larger landscape-level biodiversity assessments.
How many awards are expected?
The announcement indicates one expected award.
What is the maximum award amount (award ceiling)?
The award ceiling is $49,521.
When was the opportunity created and when did it close?
The opportunity was created on May 29, 2018, and the original closing date was June 12, 2018, reflecting a short application window.
Who is eligible to apply?
Eligibility is limited to entities that qualify as CESU partners. The listing indicates "Others" and instructs applicants to consult additional eligibility information in the full announcement for clarification.
What does it mean that this is a CESU opportunity?
It means the opportunity is structured for collaboration with a CESU partner and is intended to support a cooperative research effort, including the potential for substantial involvement by USGS during the project.
Does the opportunity focus more on research methods or on field data collection?
Based on the emphasis on leveraging existing large-scale databases, the opportunity appears oriented toward improving modeling methods and their application using already-available data sources, rather than relying primarily on new, localized data collection.
What kinds of management contexts are emphasized?
The announcement emphasizes models that are useful across Department of the Interior partner agency contexts, including practical uses like surveillance, early detection, spread forecasting, control prioritization, and risk assessment.
Is USGS expected to be involved during the project period?
Yes. Because this is a cooperative agreement, USGS may be substantially involved during the project period through collaboration on methods, data, review, or project direction.
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