Opportunity Information: Apply for G18AS00050
The U.S. Geological Survey (USGS), within the Department of the Interior (DOI), released a discretionary funding opportunity under the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) to support a focused research project aimed at improving invasive species distribution models (SDMs). The intent is to fund one CESU partner through a cooperative agreement to advance methods for predicting and mapping where invasive species are likely to occur, with an emphasis on making those models more credible, more useful to land and resource managers, and more compatible with large-scale biodiversity mapping efforts.
At the core of the opportunity is a two-part research purpose. First, the project is meant to better leverage existing large-scale databases so that invasive species distribution models can be produced and delivered in a way that DOI partner agencies can actually use for management decisions. This implies a strong applied angle: not just developing theory, but improving workflows, data integration, and model outputs so they are practical for agencies tasked with prevention, early detection, monitoring, prioritization, and response. Second, the work is intended to connect the principles and best practices used to develop highly credible SDMs for high-priority invasive species with broader, landscape-to-national scale biodiversity mapping initiatives. In other words, the project is positioned to bridge detailed, high-confidence modeling approaches for key invaders with the realities of broader, standardized mapping programs that operate at scale.
Administratively, the award is structured as a cooperative agreement rather than a standard grant, signaling that USGS expects to have substantial involvement during the project (for example, collaboration on study design, data sources, methods, or interpretation and delivery of results). The funding instrument supports science and technology and other research and development activities, and it is listed under CFDA 15.808. The opportunity number is G18AS00050, and it was created on May 29, 2018 with an original closing date of June 12, 2018. The funding level is relatively targeted, with an award ceiling of $49,521 and an expectation of a single award, indicating a small, specific project rather than a multi-site program.
Eligibility is limited to CESU partners under the Rocky Mountain CESU framework (the listing notes “Others,” with clarification referenced in an additional eligibility field). Practically, that means applicants generally must be affiliated with or otherwise eligible through the CESU network, which is designed to streamline collaborative research between federal agencies and partner institutions. Overall, this opportunity supports a concise, method-forward research effort intended to improve invasive species modeling approaches by using existing large datasets more effectively and by aligning rigorous SDM practices with broader biodiversity mapping needs across DOI partner agencies.Apply for G18AS00050
- 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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Frequently Asked Questions (FAQs)
What agency is offering this funding opportunity?
The opportunity is offered by the U.S. Geological Survey (USGS) within the Department of the Interior (DOI).
What is the program or administrative framework for this opportunity?
This funding is released under the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) framework.
What is the opportunity number?
The opportunity number is G18AS00050.
What is the CFDA number listed for this opportunity?
The opportunity is listed under CFDA 15.808.
What type of funding instrument will be used?
The award is structured as a cooperative agreement rather than a standard grant.
What does it mean that the award is a cooperative agreement?
A cooperative agreement indicates that USGS expects to have substantial involvement during the project, such as collaborating on study design, data sources, methods, interpretation, and/or delivery of results.
What is the main focus of the research project being funded?
The project focuses on improving invasive species distribution models (SDMs) to better predict and map where invasive species are likely to occur.
What is the intended outcome of improving invasive species SDMs?
The intent is to make invasive species SDMs more credible, more useful to land and resource managers, and more compatible with large-scale biodiversity mapping efforts.
How many awards are expected?
The opportunity indicates an expectation of a single award, meaning one CESU partner is intended to be funded.
What is the maximum funding amount available?
The award ceiling is $49,521.
Is this intended to be a large, multi-site program?
No. The description suggests a relatively targeted, small, specific project rather than a broad multi-site program.
Who is eligible to apply?
Eligibility is limited to CESU partners under the Rocky Mountain CESU framework (noted as “Others,” with additional clarification referenced in an additional eligibility field).
What does “CESU partner” eligibility imply in practice?
It implies applicants generally must be affiliated with, or otherwise eligible through, the CESU network, which is designed to streamline collaborative research between federal agencies and partner institutions.
What are the two main research purposes of the project?
The project has a two-part purpose: (1) better leverage existing large-scale databases so invasive species SDMs can be produced and delivered in a way DOI partner agencies can use for management decisions; and (2) connect best practices used to develop highly credible SDMs for high-priority invasive species with broader landscape-to-national scale biodiversity mapping initiatives.
What does “better leverage existing large-scale databases” mean in the context of this project?
It means using already-available, large datasets more effectively so that SDM outputs can be produced and delivered in forms that DOI partner agencies can apply in real management contexts.
Is this opportunity more applied or more theoretical?
The description emphasizes a strong applied angle, focusing on improving workflows, data integration, and model outputs so they are practical for agencies making invasive species management decisions.
What kinds of management decisions are these models expected to support?
The SDMs are intended to help agencies with prevention, early detection, monitoring, prioritization, and response related to invasive species.
What does “high-priority invasive species” refer to here?
The opportunity references developing highly credible SDMs for high-priority invasive species, indicating an emphasis on key invaders of management concern, while also aligning that work with broader mapping programs.
How does this opportunity relate to biodiversity mapping efforts?
A core goal is to make invasive species SDM methods and outputs more compatible with broader landscape-to-national scale biodiversity mapping initiatives, bridging rigorous approaches for priority invaders with standardized large-scale mapping programs.
What general activity area does the funding support?
The funding instrument supports science and technology and other research and development activities.
When was the opportunity created and when was it originally due?
The opportunity was created on May 29, 2018, with an original closing date of June 12, 2018.
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